telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | #include "LayerTests.hpp" |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6 | #include "WorkloadTestUtils.hpp" |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7 | #include "TensorUtils.hpp" |
Aron Virginas-Tar | d4f0fea | 2019-04-09 14:08:06 +0100 | [diff] [blame] | 8 | #include <ResolveType.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9 | |
| 10 | #include "test/TensorHelpers.hpp" |
| 11 | #include "TensorCopyUtils.hpp" |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 12 | #include "Permute.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | |
| 14 | #include <boost/test/unit_test.hpp> |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 15 | #include <boost/assert.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 16 | |
David Beck | 711fa31 | 2018-09-24 10:46:38 +0100 | [diff] [blame] | 17 | #include <armnn/LayerSupport.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 19 | #include <backendsCommon/CpuTensorHandle.hpp> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 20 | #include <backendsCommon/IBackendInternal.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 21 | #include <backendsCommon/WorkloadFactory.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 23 | #include <reference/workloads/RefWorkloads.hpp> |
| 24 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | #include <algorithm> |
| 26 | #include <boost/cast.hpp> |
| 27 | |
| 28 | #include "WorkloadTestUtils.hpp" |
| 29 | #include "Conv2dTestImpl.hpp" |
| 30 | #include "BatchNormTestImpl.hpp" |
| 31 | #include "ActivationTestImpl.hpp" |
| 32 | #include "Pooling2dTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 33 | #include "FullyConnectedTestImpl.hpp" |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 34 | #include "GatherTestImpl.hpp" |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 35 | #include "SpaceToBatchNdTestImpl.hpp" |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 36 | #include "SpaceToDepthTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 37 | #include "SplitterTestImpl.hpp" |
| 38 | #include "SoftmaxTestImpl.hpp" |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 39 | #include "StridedSliceTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 40 | #include "NormTestImpl.hpp" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 41 | #include "LstmTestImpl.hpp" |
| 42 | #include "ConvertFp16ToFp32TestImpl.hpp" |
| 43 | #include "ConvertFp32ToFp16TestImpl.hpp" |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 44 | #include "DebugTestImpl.hpp" |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 45 | #include "DequantizeTestImpl.hpp" |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 46 | #include "QuantizeTestImpl.hpp" |
Aron Virginas-Tar | 735a450 | 2019-06-26 15:02:47 +0100 | [diff] [blame] | 47 | #include "TransposeConvolution2dTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 48 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 49 | // 3-channel 16x8 image used as common input data for a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 50 | static std::vector<float> ConvInput3x8x16({ |
| 51 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 52 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 53 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 54 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 55 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 56 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 57 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 58 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 59 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 60 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 61 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 62 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 63 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 64 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 65 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 66 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 67 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 68 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 69 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 70 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 71 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 72 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 73 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 74 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 |
| 75 | }); |
| 76 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 77 | // 2-channel bias used by a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 78 | static std::vector<float> Bias2({0, 2}); |
| 79 | |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 80 | struct Simple3dSoftmaxOutputData |
| 81 | { |
| 82 | const std::vector<float> outputData = |
| 83 | { |
| 84 | 0.0964599f, 0.26220518f, 0.0964599f, 0.0964599f, |
| 85 | 0.15903549f, 0.0964599f, 0.0964599f, 0.0964599f |
| 86 | }; |
| 87 | |
| 88 | const armnn::TensorShape inputShape{ 1, 8, 1 }; |
| 89 | |
| 90 | const std::vector<float> inputData = |
| 91 | { |
| 92 | 0.f, 1.f, 0.f, 0.f, |
| 93 | .5f, 0.f, 0.f, 0.f, |
| 94 | }; |
| 95 | }; |
| 96 | |
| 97 | struct Simple4dSoftmaxData |
| 98 | { |
| 99 | const armnn::TensorShape inputShape{ 1, 8, 1, 1 }; |
| 100 | |
| 101 | const std::vector<float> outputData = { 0.0964599f, 0.26220518f, 0.0964599f, 0.0964599f, |
| 102 | 0.15903549f, 0.0964599f, 0.0964599f, 0.0964599f }; |
| 103 | const std::vector<float> inputData = |
| 104 | { |
| 105 | 0.f, 1.f, 0.f, 0.f, |
| 106 | .5f, 0.f, 0.f, 0.f |
| 107 | }; |
| 108 | }; |
| 109 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 110 | // Helper function that returns either Bias2 or an empty vector depending on whether bias is enabled. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 111 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 112 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 113 | { |
| 114 | if(biasEnabled) |
| 115 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 116 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 117 | boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(qScale, 0.0f, Bias2)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 118 | return bias; |
| 119 | } |
| 120 | else |
| 121 | { |
| 122 | return boost::multi_array<T, 1>(); |
| 123 | } |
| 124 | } |
| 125 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 126 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 127 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 128 | armnn::IWorkloadFactory& workloadFactory, |
| 129 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 130 | float qScale, |
| 131 | int32_t qOffset, |
| 132 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 133 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 134 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 135 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 136 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 137 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 138 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 139 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 140 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 141 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 142 | QuantizedVector<T>(qScale, qOffset, { |
| 143 | 1, 1, 1, |
| 144 | 1, -1, 1, |
| 145 | 1, 1, 1, |
| 146 | 1, 1, 1, |
| 147 | 1, 1, 1, |
| 148 | |
| 149 | 0, 0, 0, |
| 150 | 0, 0, 0, |
| 151 | 0, 0, 0, |
| 152 | 0, 0, 0, |
| 153 | 0, 0, 0, |
| 154 | |
| 155 | 2, 2, 2, |
| 156 | 2, 2, 2, |
| 157 | 2, 2, 2, |
| 158 | 2, 2, 2, |
| 159 | 2, 2, 2, |
| 160 | |
| 161 | |
| 162 | 0, 0, 0, |
| 163 | 0, 0, 0, |
| 164 | 0, 0, 0, |
| 165 | 0, 0, 0, |
| 166 | 0, 0, 0, |
| 167 | |
| 168 | 1, 1, 1, |
| 169 | 1, 1, 1, |
| 170 | 1, 1, 1, |
| 171 | 1, 1, 1, |
| 172 | 1, 1, 1, |
| 173 | |
| 174 | 0, 0, 0, |
| 175 | 0, 0, 0, |
| 176 | 0, 0, 0, |
| 177 | 0, 0, 0, |
| 178 | 0, 0, 0 |
| 179 | }))); |
| 180 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 181 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 182 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 183 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 184 | QuantizedVector<T>(qScale, qOffset, { |
| 185 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 186 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 187 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 188 | -23.5f, -23.5f, -23.5f, |
| 189 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 190 | -23.5f, -23.5f, -23.5f, |
| 191 | |
| 192 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 193 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 194 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 195 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 196 | }))); |
| 197 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 198 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 199 | workloadFactory, |
| 200 | memoryManager, |
| 201 | input, |
| 202 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 203 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 204 | expectedOutput, |
| 205 | qScale, |
| 206 | qOffset, |
| 207 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 208 | } |
| 209 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 210 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 211 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 212 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 213 | armnn::IWorkloadFactory& workloadFactory, |
| 214 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 215 | float qScale, |
| 216 | int32_t qOffset, |
| 217 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 218 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 219 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 220 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 221 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 222 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 223 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 224 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 225 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 226 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 227 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 229 | QuantizedVector<T>(qScale, qOffset, { |
| 230 | 1, 1, 1, |
| 231 | 1, -1, 1, |
| 232 | 1, 1, 1, |
| 233 | |
| 234 | 0, 0, 0, |
| 235 | 0, 0, 0, |
| 236 | 0, 0, 0, |
| 237 | |
| 238 | 2, 2, 2, |
| 239 | 2, 2, 2, |
| 240 | 2, 2, 2, |
| 241 | |
| 242 | |
| 243 | 0, 0, 0, |
| 244 | 0, 0, 0, |
| 245 | 0, 0, 0, |
| 246 | |
| 247 | 1, 1, 1, |
| 248 | 1, 1, 1, |
| 249 | 1, 1, 1, |
| 250 | |
| 251 | 0, 0, 0, |
| 252 | 0, 0, 0, |
| 253 | 0, 0, 0 |
| 254 | }))); |
| 255 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 256 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 257 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 258 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 259 | QuantizedVector<T>(qScale, qOffset, { |
| 260 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 261 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 262 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 263 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 264 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 265 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 266 | |
| 267 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 268 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 269 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 270 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 271 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 272 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 273 | }))); |
| 274 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 275 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 276 | workloadFactory, |
| 277 | memoryManager, |
| 278 | input, |
| 279 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 280 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 281 | expectedOutput, |
| 282 | qScale, |
| 283 | qOffset, |
| 284 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 285 | } |
| 286 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 287 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 288 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 289 | armnn::IWorkloadFactory& workloadFactory, |
| 290 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 291 | float qScale, |
| 292 | int32_t qOffset, |
| 293 | bool biasEnabled, |
| 294 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 295 | { |
| 296 | // Use common single-batch 5x5 image. |
| 297 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 298 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 299 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 300 | { |
| 301 | 1, 5, 2, 3, |
| 302 | 8, 7, 3, 6, |
| 303 | 3, 3, 9, 1 |
| 304 | }); |
| 305 | |
| 306 | |
| 307 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 308 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 309 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 310 | 4, 5, 6, |
| 311 | 0, 0, 0, |
| 312 | 3, 2, 1 |
| 313 | }); |
| 314 | |
| 315 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 316 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 317 | |
| 318 | const std::vector<float> outputData = |
| 319 | { |
| 320 | 23, 41, 33, 21, |
| 321 | 44, 65, 76, 52, |
| 322 | 82, 85, 79, 42 |
| 323 | }; |
| 324 | |
| 325 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 326 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 327 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 328 | workloadFactory, |
| 329 | memoryManager, |
| 330 | input, |
| 331 | kernel, |
| 332 | boost::multi_array<T, 1>(), |
| 333 | expectedOutput, |
| 334 | dataLayout, |
| 335 | qScale, |
| 336 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 337 | } |
| 338 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 339 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 340 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 341 | armnn::IWorkloadFactory& workloadFactory, |
| 342 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 343 | float qScale, |
| 344 | int32_t qOffset, |
| 345 | bool biasEnabled, |
| 346 | const armnn::DataLayout& dataLayout) |
| 347 | { |
| 348 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 349 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 350 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 351 | { |
| 352 | 1, 5, 2, 3, 5, |
| 353 | 8, 7, 3, 6, 3, |
| 354 | 3, 3, 9, 1, 9, |
| 355 | 4, 1, 8, 1, 3, |
| 356 | 6, 8, 1, 9, 2 |
| 357 | }); |
| 358 | |
| 359 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 360 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 361 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 362 | { |
| 363 | 4, 5, 6, |
| 364 | 0, 0, 0, |
| 365 | 3, 2, 1 |
| 366 | }); |
| 367 | |
| 368 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 369 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 370 | |
| 371 | const std::vector<T> outputData = |
| 372 | { |
| 373 | 23, 33, 24, |
| 374 | 91, 99, 48, |
| 375 | 26, 50, 19 |
| 376 | }; |
| 377 | |
| 378 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 379 | |
| 380 | uint32_t padLeft = 1; |
| 381 | uint32_t padTop = 1; |
| 382 | uint32_t padRight = 1; |
| 383 | uint32_t padBottom = 1; |
| 384 | uint32_t strideX = 2; |
| 385 | uint32_t strideY = 2; |
| 386 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 387 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 388 | workloadFactory, |
| 389 | memoryManager, |
| 390 | input, |
| 391 | kernel, |
| 392 | boost::multi_array<T, 1>(), |
| 393 | expectedOutput, |
| 394 | dataLayout, |
| 395 | qScale, |
| 396 | qOffset, |
| 397 | padLeft, |
| 398 | padTop, |
| 399 | padRight, |
| 400 | padBottom, |
| 401 | strideX, |
| 402 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 403 | } |
| 404 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 406 | armnn::IWorkloadFactory& workloadFactory, |
| 407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 408 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 409 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 410 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 411 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 412 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 413 | } |
| 414 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 415 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 416 | armnn::IWorkloadFactory& workloadFactory, |
| 417 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 418 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 419 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 420 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 421 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 422 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 423 | } |
| 424 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 425 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 426 | armnn::IWorkloadFactory& workloadFactory, |
| 427 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 428 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 429 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 430 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 431 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 432 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 433 | } |
| 434 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 435 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 436 | armnn::IWorkloadFactory& workloadFactory, |
| 437 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 438 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 440 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 441 | workloadFactory, |
| 442 | memoryManager, |
| 443 | 0.f, |
| 444 | 0, |
| 445 | biasEnabled, |
| 446 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 447 | } |
| 448 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 449 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 450 | armnn::IWorkloadFactory& workloadFactory, |
| 451 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 452 | bool biasEnabled, |
| 453 | const armnn::DataLayout layout) |
| 454 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 455 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 456 | workloadFactory, |
| 457 | memoryManager, |
| 458 | 0.f, |
| 459 | 0, |
| 460 | biasEnabled, |
| 461 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 462 | } |
| 463 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 464 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 465 | armnn::IWorkloadFactory& workloadFactory, |
| 466 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 467 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 468 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 470 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 471 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 472 | } |
| 473 | |
Mike Kelly | 2f80f6e | 2019-05-16 12:41:34 +0100 | [diff] [blame] | 474 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test( |
| 475 | armnn::IWorkloadFactory& workloadFactory, |
| 476 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 477 | bool biasEnabled, |
| 478 | const armnn::DataLayout layout) |
| 479 | { |
| 480 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 481 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 482 | } |
| 483 | |
| 484 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test( |
| 485 | armnn::IWorkloadFactory& workloadFactory, |
| 486 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 487 | bool biasEnabled, |
| 488 | const armnn::DataLayout layout) |
| 489 | { |
| 490 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 491 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 492 | } |
| 493 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 494 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 495 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 496 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 497 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 498 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 499 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 500 | float qScale, |
| 501 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 502 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 503 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 504 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 505 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 506 | QuantizedVector<T>(qScale, qOffset, { |
| 507 | 11,21,31, |
| 508 | 12,22,32, |
| 509 | 13,23,33 |
| 510 | }))); |
| 511 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 512 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 513 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 514 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 515 | QuantizedVector<T>(qScale, qOffset, { |
| 516 | -11,-21, |
| 517 | -12,-22, |
| 518 | }))); |
| 519 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 520 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 521 | // Manually calculated like this: |
| 522 | //[-11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ..] |
| 523 | //[-11*0 -21*0 -12*0 -22*11 ; -11*0 -21*0 -12*11 -22*21 ; -11*0 -21*0 -12*21 -22*31 ; -11*0 -21*0 -12*31 -22*0 ..] |
| 524 | //[-11*0 -21*11 -12*0 -22*12 ; -11*11 -21*21 -12*12 -22*22 ; -11*21 -21*31 -12*22 -22*32 ; -11*31 -21*0 -12*32 -22*0 ..] |
| 525 | //[-11*0 -21*12 -12*0 -22*13 ; -11*12 -21*22 -12*13 -22*23 ; -11*22 -21*32 -12*23 -22*33 ; -11*32 -21*0 -12*33 -22*0 ..] |
| 526 | //[-11*0 -21*13 -12*0 -22*0 ; -11*13 -21*23 -12*0 -22*0 ; -11*23 -21*33 -12*0 -22*0 ; -11*33 -21*0 -12*0 -22*0 ..] |
| 527 | //[-11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ..] |
| 528 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 529 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 530 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 531 | QuantizedVector<T>(qScale, qOffset, { |
| 532 | 0, 0, 0, 0, 0, 0, |
| 533 | -242, -594, -934, -372, 0, 0, |
| 534 | -495, -1190, -1850, -725, 0, 0, |
| 535 | -538, -1256, -1916, -748, 0, 0, |
| 536 | -273, -626, -946, -363, 0, 0, |
| 537 | 0, 0, 0, 0, 0, 0, |
| 538 | 0, 0, 0, 0, 0, 0, |
| 539 | 0, 0, 0, 0, 0, 0 |
| 540 | }))); |
| 541 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 542 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 543 | workloadFactory, |
| 544 | memoryManager, |
| 545 | input, |
| 546 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 547 | GetBias2<ArmnnBType>(false, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 548 | expectedOutput, |
| 549 | qScale, |
| 550 | qOffset, |
| 551 | layout, |
| 552 | 1, // Padding left. |
| 553 | 2, // Padding top. |
| 554 | 3, // Padding right. |
| 555 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 556 | } |
| 557 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 558 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 559 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 560 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 561 | armnn::IWorkloadFactory& workloadFactory, |
| 562 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 563 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 564 | float qScale, |
| 565 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 566 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 567 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 568 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 569 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 570 | QuantizedVector<T>(qScale, qOffset, { |
| 571 | 11,21,31,41,51, |
| 572 | 12,22,32,42,52, |
| 573 | 13,23,33,43,53, |
| 574 | 14,24,34,44,54, |
| 575 | 15,25,35,45,55, |
| 576 | }))); |
| 577 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 578 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 579 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 580 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 581 | QuantizedVector<T>(qScale, qOffset, { |
| 582 | -11,-21,-31,-41, |
| 583 | -12,-22,-32,-42, |
| 584 | -13,-23,-33,-43, |
| 585 | -14,-24,-34,-44, |
| 586 | }))); |
| 587 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 588 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 589 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 590 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 591 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 592 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 593 | -7140, -10580, -13940, -9300, -5230, |
| 594 | -9590, -14120, -18520, -12290, -6860, |
| 595 | -9980, -14560, -18960, -12560, -7000, |
| 596 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 597 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 598 | }))); |
| 599 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 600 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 601 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 602 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 603 | input, |
| 604 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 605 | GetBias2<ArmnnBType>(false, qScale * qScale), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 606 | expectedOutput, |
| 607 | qScale, |
| 608 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 609 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 610 | 1, // Padding left. |
| 611 | 1, // Padding top. |
| 612 | 2, // Padding right. |
| 613 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 614 | } |
| 615 | |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 616 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 617 | armnn::IWorkloadFactory& workloadFactory, |
| 618 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 619 | armnn::DataLayout layout) |
| 620 | { |
| 621 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 622 | workloadFactory, memoryManager, layout, 0.0f, 0); |
| 623 | } |
| 624 | |
| 625 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 626 | armnn::IWorkloadFactory& workloadFactory, |
| 627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 628 | armnn::DataLayout layout) |
| 629 | { |
| 630 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 631 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 632 | workloadFactory, memoryManager, layout, 0.0f, 0); |
| 633 | } |
| 634 | |
| 635 | LayerTestResult<float, 4> Convolution1dTest( |
| 636 | armnn::IWorkloadFactory& workloadFactory, |
| 637 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 638 | bool biasEnabled) |
| 639 | { |
| 640 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 641 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
| 642 | } |
| 643 | |
| 644 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 645 | armnn::IWorkloadFactory& workloadFactory, |
| 646 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 647 | bool biasEnabled) |
| 648 | { |
| 649 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 650 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
| 651 | } |
| 652 | |
| 653 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 654 | armnn::IWorkloadFactory& workloadFactory, |
| 655 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 656 | armnn::IWorkloadFactory& refWorkloadFactory) |
| 657 | { |
| 658 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 659 | workloadFactory, memoryManager, refWorkloadFactory); |
| 660 | } |
| 661 | |
| 662 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
| 663 | LayerTestResult<T, 4> Convolution2d3x3DilationTestCommon( |
| 664 | armnn::IWorkloadFactory& workloadFactory, |
| 665 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 666 | const std::vector<float>& inputNoQuantizedValues, |
| 667 | armnn::TensorInfo& inputTensorInfo, |
| 668 | const std::vector<float>& kernelNoQuantizedValues, |
| 669 | armnn::TensorInfo& kernelTensorInfo, |
| 670 | const std::vector<float>& outputExpectedNoQuantizedValues, |
| 671 | armnn::TensorInfo& outputTensorInfo, |
| 672 | uint32_t dilationX, |
| 673 | uint32_t dilationY, |
| 674 | armnn::DataLayout layout = armnn::DataLayout::NCHW, |
Teresa Charlin | 2b7519d | 2019-07-09 15:45:35 +0100 | [diff] [blame] | 675 | uint32_t padLeft = 0, |
| 676 | uint32_t padTop = 0, |
| 677 | uint32_t padRight = 0, |
| 678 | uint32_t padBottom = 0, |
| 679 | uint32_t strideX = 1, |
| 680 | uint32_t strideY = 1, |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 681 | bool biasEnabled = false |
| 682 | ) |
| 683 | { |
| 684 | float qScale; |
| 685 | int32_t qOffset; |
| 686 | switch (ArmnnType) |
| 687 | { |
| 688 | case armnn::DataType::QuantisedAsymm8: |
| 689 | { |
| 690 | qScale = 0.1f; |
| 691 | qOffset = 128; |
| 692 | break; |
| 693 | } |
| 694 | case armnn::DataType::QuantisedSymm16: |
| 695 | { |
| 696 | qScale = 0.1f; |
| 697 | qOffset = 0; |
| 698 | break; |
| 699 | } |
| 700 | case armnn::DataType::Float32: |
| 701 | default: |
| 702 | { |
| 703 | qScale = 0.f; |
| 704 | qOffset = 0; |
| 705 | break; |
| 706 | } |
| 707 | } |
| 708 | |
| 709 | inputTensorInfo.SetQuantizationScale(qScale); |
| 710 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 711 | kernelTensorInfo.SetQuantizationScale(qScale); |
| 712 | kernelTensorInfo.SetQuantizationOffset(qOffset); |
| 713 | outputTensorInfo.SetQuantizationScale(qScale); |
| 714 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 715 | |
| 716 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
| 717 | std::vector<T>(QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), |
| 718 | inputTensorInfo.GetQuantizationOffset(), |
| 719 | inputNoQuantizedValues))); |
| 720 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, |
| 721 | std::vector<T>(QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), |
| 722 | kernelTensorInfo.GetQuantizationOffset(), |
| 723 | kernelNoQuantizedValues))); |
| 724 | auto expectedOutput = MakeTensor<T, 4>(outputTensorInfo, |
| 725 | std::vector<T>(QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), |
| 726 | outputTensorInfo.GetQuantizationOffset(), |
| 727 | outputExpectedNoQuantizedValues))); |
| 728 | |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 729 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 730 | workloadFactory, |
| 731 | memoryManager, |
| 732 | input, |
| 733 | kernel, |
| 734 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
| 735 | expectedOutput, |
| 736 | qScale, |
| 737 | qOffset, |
| 738 | layout, |
| 739 | padLeft, |
| 740 | padTop, |
| 741 | padRight, |
| 742 | padBottom, |
| 743 | strideX, |
| 744 | strideY, |
| 745 | dilationX, |
| 746 | dilationY); |
| 747 | } |
| 748 | |
| 749 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 750 | LayerTestResult<T, 4> Convolution2d3x3Dilation3x3Test( |
| 751 | armnn::IWorkloadFactory& workloadFactory, |
| 752 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 753 | bool biasEnabled, |
| 754 | const armnn::DataLayout layout) |
| 755 | { |
| 756 | armnn::TensorInfo inputTensorInfo({1, 1, 10, 10}, ArmnnType); |
| 757 | std::vector<float> inputNoQuantizedValues = |
| 758 | { |
| 759 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 760 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 761 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 762 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 763 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 764 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 765 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 766 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 767 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 768 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 769 | }; |
| 770 | |
| 771 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 772 | std::vector<float> kernelNoQuantizedValues = |
| 773 | { |
| 774 | 1, 2, 3, |
| 775 | 4, 5, 6, |
| 776 | 7, 8, 9 |
| 777 | }; |
| 778 | |
| 779 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 780 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 781 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 782 | std::vector<float> outputExpectedNoQuantizedValues = |
| 783 | { |
| 784 | 6., 5., 5., 5., |
| 785 | 6., 5., 5., 5., |
| 786 | 6., 5., 5., 5., |
| 787 | 3., 2., 2., 2. |
| 788 | }; |
| 789 | |
| 790 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 791 | workloadFactory, |
| 792 | memoryManager, |
| 793 | inputNoQuantizedValues, |
| 794 | inputTensorInfo, |
| 795 | kernelNoQuantizedValues, |
| 796 | kernelTensorInfo, |
| 797 | outputExpectedNoQuantizedValues, |
| 798 | outputTensorInfo, |
| 799 | 3, |
| 800 | 3, |
| 801 | layout, |
| 802 | biasEnabled); |
| 803 | } |
| 804 | |
| 805 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 806 | LayerTestResult<T, 4> Convolution2d2x3x3Dilation3x3Test( |
| 807 | armnn::IWorkloadFactory& workloadFactory, |
| 808 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 809 | bool biasEnabled, |
| 810 | const armnn::DataLayout layout) |
| 811 | { |
| 812 | armnn::TensorInfo inputTensorInfo({1, 2, 10, 10}, ArmnnType); |
| 813 | std::vector<float> inputNoQuantizedValues = |
| 814 | { |
| 815 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 816 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 817 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 818 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 819 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 820 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 821 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 822 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 823 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 824 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 825 | |
| 826 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 827 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 828 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 829 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 830 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 831 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 832 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 833 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 834 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 835 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 836 | }; |
| 837 | |
| 838 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 3, 3}, ArmnnType); |
| 839 | std::vector<float> kernelNoQuantizedValues = |
| 840 | { |
| 841 | 1, 2, 3, |
| 842 | 4, 5, 6, |
| 843 | 7, 8, 9, |
| 844 | |
| 845 | 1, 2, 3, |
| 846 | 4, 5, 6, |
| 847 | 7, 8, 9 |
| 848 | }; |
| 849 | |
| 850 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 851 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 852 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 853 | std::vector<float> outputExpectedNoQuantizedValues = |
| 854 | { |
| 855 | 12., 10., 10., 10., |
| 856 | 12., 10., 10., 10., |
| 857 | 12., 10., 10., 10., |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 858 | 6., 4., 4., 4. |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 859 | }; |
| 860 | |
| 861 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 862 | workloadFactory, |
| 863 | memoryManager, |
| 864 | inputNoQuantizedValues, |
| 865 | inputTensorInfo, |
| 866 | kernelNoQuantizedValues, |
| 867 | kernelTensorInfo, |
| 868 | outputExpectedNoQuantizedValues, |
| 869 | outputTensorInfo, |
| 870 | 3, |
| 871 | 3, |
| 872 | layout, |
| 873 | biasEnabled); |
| 874 | } |
| 875 | |
Teresa Charlin | 2b7519d | 2019-07-09 15:45:35 +0100 | [diff] [blame] | 876 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 877 | LayerTestResult<T, 4> Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test( |
| 878 | armnn::IWorkloadFactory &workloadFactory, |
| 879 | const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, |
| 880 | bool biasEnabled, |
| 881 | const armnn::DataLayout layout) |
| 882 | { |
| 883 | armnn::TensorInfo inputTensorInfo({1, 1, 10, 10}, ArmnnType); |
| 884 | std::vector<float> inputNoQuantizedValues = |
| 885 | { |
| 886 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 887 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 888 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 889 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 890 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 891 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 892 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 893 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 894 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, |
| 895 | 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 |
| 896 | }; |
| 897 | |
| 898 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 2, 2}, ArmnnType); |
| 899 | std::vector<float> kernelNoQuantizedValues = |
| 900 | { |
| 901 | 1, 2, |
| 902 | 3, 4 |
| 903 | }; |
| 904 | |
| 905 | // Since the dilation rate is 2 this will dilate the kernel to be like 3x3: d(K-1)+1 --> 2 x (2-1) + 1 = 3, |
| 906 | // therefore the output will be 4x4: (I − K + 2P)/S +1 => trunc ( (10 - 3 + 2x2 ) / 3 + 1 ) |
Jan Eilers | 0bf6b23 | 2019-07-12 10:46:33 +0100 | [diff] [blame] | 907 | // where, dilation size = d = 2; kernel size = K = 2; input size = I = 10; padding size = P = 2; stride = S = 3 |
Teresa Charlin | 2b7519d | 2019-07-09 15:45:35 +0100 | [diff] [blame] | 908 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 909 | std::vector<float> outputExpectedNoQuantizedValues = |
| 910 | { |
| 911 | 4, 7, 7, 3, |
| 912 | 6, 10, 10, 4, |
| 913 | 6, 10, 10, 4, |
| 914 | 2, 3, 3, 1 |
| 915 | }; |
| 916 | uint32_t padLeft = 1; |
| 917 | uint32_t padTop = 1; |
| 918 | uint32_t padRight = 1; |
| 919 | uint32_t padBottom = 1; |
| 920 | |
| 921 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 922 | workloadFactory, |
| 923 | memoryManager, |
| 924 | inputNoQuantizedValues, |
| 925 | inputTensorInfo, |
| 926 | kernelNoQuantizedValues, |
| 927 | kernelTensorInfo, |
| 928 | outputExpectedNoQuantizedValues, |
| 929 | outputTensorInfo, |
| 930 | 2, |
| 931 | 2, |
| 932 | layout, |
| 933 | padLeft, |
| 934 | padTop, |
| 935 | padRight, |
| 936 | padBottom, |
| 937 | 3, |
| 938 | 3, |
| 939 | biasEnabled |
| 940 | ); |
| 941 | } |
| 942 | |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 943 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 944 | Convolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 945 | armnn::IWorkloadFactory&, |
| 946 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 947 | bool, |
| 948 | armnn::DataLayout); |
| 949 | |
| 950 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 951 | Convolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 952 | armnn::IWorkloadFactory&, |
| 953 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 954 | bool, |
| 955 | armnn::DataLayout); |
| 956 | |
| 957 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 958 | Convolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 959 | armnn::IWorkloadFactory&, |
| 960 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 961 | bool, |
| 962 | armnn::DataLayout); |
| 963 | |
| 964 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 965 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 966 | armnn::IWorkloadFactory&, |
| 967 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 968 | bool, |
| 969 | armnn::DataLayout); |
| 970 | |
| 971 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 972 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 973 | armnn::IWorkloadFactory&, |
| 974 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 975 | bool, |
| 976 | armnn::DataLayout); |
| 977 | |
| 978 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 979 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 980 | armnn::IWorkloadFactory&, |
| 981 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 982 | bool, |
| 983 | armnn::DataLayout); |
| 984 | |
Teresa Charlin | 2b7519d | 2019-07-09 15:45:35 +0100 | [diff] [blame] | 985 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 986 | Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 987 | armnn::IWorkloadFactory &workloadFactory, |
| 988 | const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, |
| 989 | bool biasEnabled, |
| 990 | const armnn::DataLayout layout); |
| 991 | |
| 992 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 993 | Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 994 | armnn::IWorkloadFactory &workloadFactory, |
| 995 | const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, |
| 996 | bool biasEnabled, |
| 997 | const armnn::DataLayout layout); |
| 998 | |
| 999 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 1000 | Convolution2d2x2Dilation2x2Padding2x2Stride3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1001 | armnn::IWorkloadFactory &workloadFactory, |
| 1002 | const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, |
| 1003 | bool biasEnabled, |
| 1004 | const armnn::DataLayout layout); |
| 1005 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1006 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 1007 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1008 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 1009 | armnn::IWorkloadFactory& workloadFactory, |
| 1010 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1011 | float qScale, |
| 1012 | int32_t qOffset, |
| 1013 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1014 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1015 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1016 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1017 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1018 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1019 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), |
| 1020 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1021 | 0, 1, 2, 3, 4, |
| 1022 | 5, 6, 7, 8, 9, |
| 1023 | 10, 11, 12, 13, 14, |
| 1024 | 15, 16, 17, 18, 19, |
| 1025 | 20, 21, 22, 23, 24, |
| 1026 | |
| 1027 | 25, 26, 27, 28, 29, |
| 1028 | 30, 31, 32, 33, 34, |
| 1029 | 35, 36, 37, 38, 39, |
| 1030 | 40, 41, 42, 43, 44, |
| 1031 | 45, 46, 47, 48, 49 |
| 1032 | }))); |
| 1033 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1034 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1035 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1036 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1037 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), |
| 1038 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1039 | 32, 31, 30, 29, |
| 1040 | 28, 27, 26, 25, |
| 1041 | 24, 23, 22, 21, |
| 1042 | 20, 19, 18, 17, |
| 1043 | |
| 1044 | 16, 15, 14, 13, |
| 1045 | 12, 11, 10, 9, |
| 1046 | 8, 7, 6, 5, |
| 1047 | 4, 3, 2, 1 |
| 1048 | }))); |
| 1049 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1050 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 1051 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1052 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1053 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1054 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), |
| 1055 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1056 | 1062, 1580, 1850, 1530, 1117, |
| 1057 | 2140, 3108, 3500, 2842, 2042, |
| 1058 | 3580, 5068, 5460, 4342, 3062, |
| 1059 | 3618, 5072, 5390, 4248, 2971, |
| 1060 | 3074, 4282, 4510, 3533, 2457, |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1061 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1062 | 1550, 2284, 2362, 1955, 1428, |
| 1063 | 2910, 4206, 4342, 3528, 2536, |
| 1064 | 3390, 4886, 5022, 4068, 2916, |
| 1065 | 3566, 5056, 5182, 4133, 2922, |
| 1066 | 3100, 4352, 4452, 3517, 2465 |
| 1067 | }))); |
| 1068 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1069 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 1070 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1071 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1072 | input, |
| 1073 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1074 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1075 | expectedOutput, |
| 1076 | qScale, |
| 1077 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 1078 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1079 | 1, // Padding left. |
| 1080 | 1, // Padding top. |
| 1081 | 2, // Padding right. |
| 1082 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1083 | 1, // strideX |
| 1084 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1085 | } |
| 1086 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1087 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 1088 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1089 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 1090 | armnn::IWorkloadFactory& workloadFactory, |
| 1091 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1092 | float qScale, |
| 1093 | int32_t qOffset, |
| 1094 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1095 | { |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1096 | auto layout = armnn::DataLayout::NHWC; |
| 1097 | |
| 1098 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1099 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1100 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), |
| 1101 | { |
| 1102 | 0, 1, 2, 3, 4, |
| 1103 | 5, 6, 7, 8, 9, |
| 1104 | 10, 11, 12, 13, 14, |
| 1105 | 15, 16, 17, 18, 19, |
| 1106 | 20, 21, 22, 23, 24, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1107 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1108 | 25, 26, 27, 28, 29, |
| 1109 | 30, 31, 32, 33, 34, |
| 1110 | 35, 36, 37, 38, 39, |
| 1111 | 40, 41, 42, 43, 44, |
| 1112 | 45, 46, 47, 48, 49 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1113 | }))); |
| 1114 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1115 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1116 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1117 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), |
| 1118 | { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 1119 | 32, 31, 30, 29, |
| 1120 | 28, 27, 26, 25, |
| 1121 | 24, 23, 22, 21, |
| 1122 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1123 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 1124 | 16, 15, 14, 13, |
| 1125 | 12, 11, 10, 9, |
| 1126 | 8, 7, 6, 5, |
| 1127 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1128 | }))); |
| 1129 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1130 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1131 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1132 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), |
| 1133 | { |
| 1134 | 1062, 1580, 1850, 1530, 1117, |
| 1135 | 2140, 3108, 3500, 2842, 2042, |
| 1136 | 3580, 5068, 5460, 4342, 3062, |
| 1137 | 3618, 5072, 5390, 4248, 2971, |
| 1138 | 3074, 4282, 4510, 3533, 2457, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1139 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1140 | 1550, 2284, 2362, 1955, 1428, |
| 1141 | 2910, 4206, 4342, 3528, 2536, |
| 1142 | 3390, 4886, 5022, 4068, 2916, |
| 1143 | 3566, 5056, 5182, 4133, 2922, |
| 1144 | 3100, 4352, 4452, 3517, 2465 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1145 | }))); |
| 1146 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1147 | return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1148 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1149 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1150 | input, |
| 1151 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1152 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1153 | expectedOutput, |
| 1154 | qScale, |
| 1155 | qOffset, |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1156 | layout, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1157 | 1, // Padding left. |
| 1158 | 1, // Padding top. |
| 1159 | 2, // Padding right. |
| 1160 | 2, // Padding bottom. |
| 1161 | 1, // strideX |
| 1162 | 1); // strideY |
| 1163 | } |
| 1164 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1165 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 1166 | typename T = armnn::ResolveType<ArmnnType>> |
| 1167 | LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon( |
| 1168 | armnn::IWorkloadFactory& workloadFactory, |
| 1169 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1170 | float qScale, |
| 1171 | int32_t qOffset, |
| 1172 | bool biasEnabled) |
| 1173 | { |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1174 | auto layout = armnn::DataLayout::NHWC; |
| 1175 | |
| 1176 | armnn::TensorInfo inputTensorInfo({ 1, 1, 9, 9}, ArmnnType); |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1177 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1178 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), |
| 1179 | { |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1180 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1181 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1182 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1183 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1184 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1185 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1186 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1187 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1188 | 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1189 | }))); |
| 1190 | |
| 1191 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 1192 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1193 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), |
| 1194 | { |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1195 | 1, 2, 3, |
| 1196 | 4, 5, 6, |
| 1197 | 7, 8, 9 |
| 1198 | }))); |
| 1199 | |
| 1200 | uint32_t padLeft = 0; |
| 1201 | uint32_t padTop = 0; |
| 1202 | uint32_t padRight = 0; |
| 1203 | uint32_t padBottom = 0; |
| 1204 | uint32_t strideX = 1; |
| 1205 | uint32_t strideY = 1; |
| 1206 | uint32_t dilationX = 3; |
| 1207 | uint32_t dilationY = 3; |
| 1208 | |
| 1209 | // Since the dilation rate is 3 this will reduce the size of the output from 9x9 to 3x3 of all 5s. |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1210 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1211 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1212 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), |
| 1213 | { |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1214 | 5, 5, 5, |
| 1215 | 5, 5, 5, |
| 1216 | 5, 5, 5 |
| 1217 | }))); |
| 1218 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1219 | return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1220 | workloadFactory, |
| 1221 | memoryManager, |
| 1222 | input, |
| 1223 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1224 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1225 | expectedOutput, |
| 1226 | qScale, |
| 1227 | qOffset, |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1228 | layout, |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1229 | padLeft, |
| 1230 | padTop, |
| 1231 | padRight, |
| 1232 | padBottom, |
| 1233 | strideX, |
| 1234 | strideY, |
| 1235 | dilationX, |
| 1236 | dilationY); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1237 | } |
| 1238 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1239 | |
| 1240 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
| 1241 | LayerTestResult<T, 4> DepthwiseConvolution2d3x3DilationTestCommon( |
| 1242 | armnn::IWorkloadFactory& workloadFactory, |
| 1243 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1244 | const std::vector<float>& inputNoQuantizedValues, |
| 1245 | armnn::TensorInfo& inputTensorInfo, |
| 1246 | const std::vector<float>& kernelNoQuantizedValues, |
| 1247 | armnn::TensorInfo& kernelTensorInfo, |
| 1248 | const std::vector<float>& outputExpectedNoQuantizedValues, |
| 1249 | armnn::TensorInfo& outputTensorInfo, |
| 1250 | uint32_t dilationX, |
| 1251 | uint32_t dilationY, |
| 1252 | armnn::DataLayout layout = armnn::DataLayout::NCHW, |
| 1253 | bool biasEnabled = false) |
| 1254 | { |
| 1255 | float qScale; |
| 1256 | int32_t qOffset; |
| 1257 | switch (ArmnnType) |
| 1258 | { |
| 1259 | case armnn::DataType::QuantisedAsymm8: |
| 1260 | { |
| 1261 | qScale = 0.1f; |
| 1262 | qOffset = 128; |
| 1263 | break; |
| 1264 | } |
| 1265 | case armnn::DataType::QuantisedSymm16: |
| 1266 | { |
| 1267 | qScale = 0.1f; |
| 1268 | qOffset = 0; |
| 1269 | break; |
| 1270 | } |
| 1271 | case armnn::DataType::Float32: |
| 1272 | default: |
| 1273 | { |
| 1274 | qScale = 0.f; |
| 1275 | qOffset = 0; |
| 1276 | break; |
| 1277 | } |
| 1278 | } |
| 1279 | |
| 1280 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1281 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1282 | kernelTensorInfo.SetQuantizationScale(qScale); |
| 1283 | kernelTensorInfo.SetQuantizationOffset(qOffset); |
| 1284 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1285 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1286 | |
| 1287 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
| 1288 | std::vector<T>(QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), |
| 1289 | inputTensorInfo.GetQuantizationOffset(), |
| 1290 | inputNoQuantizedValues))); |
| 1291 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, |
| 1292 | std::vector<T>(QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), |
| 1293 | kernelTensorInfo.GetQuantizationOffset(), |
| 1294 | kernelNoQuantizedValues))); |
| 1295 | auto expectedOutput = MakeTensor<T, 4>(outputTensorInfo, |
| 1296 | std::vector<T>(QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), |
| 1297 | outputTensorInfo.GetQuantizationOffset(), |
| 1298 | outputExpectedNoQuantizedValues))); |
| 1299 | |
| 1300 | uint32_t padLeft = 0; |
| 1301 | uint32_t padTop = 0; |
| 1302 | uint32_t padRight = 0; |
| 1303 | uint32_t padBottom = 0; |
| 1304 | uint32_t strideX = 1; |
| 1305 | uint32_t strideY = 1; |
| 1306 | |
| 1307 | return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 1308 | workloadFactory, |
| 1309 | memoryManager, |
| 1310 | input, |
| 1311 | kernel, |
| 1312 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
| 1313 | expectedOutput, |
| 1314 | qScale, |
| 1315 | qOffset, |
| 1316 | layout, |
| 1317 | padLeft, |
| 1318 | padTop, |
| 1319 | padRight, |
| 1320 | padBottom, |
| 1321 | strideX, |
| 1322 | strideY, |
| 1323 | dilationX, |
| 1324 | dilationY); |
| 1325 | } |
| 1326 | |
| 1327 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 1328 | LayerTestResult<T, 4> DepthwiseConvolution2d3x3Dilation3x3Test( |
| 1329 | armnn::IWorkloadFactory& workloadFactory, |
| 1330 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1331 | bool biasEnabled, |
| 1332 | const armnn::DataLayout layout) |
| 1333 | { |
| 1334 | armnn::TensorInfo inputTensorInfo({1, 1, 10, 10}, ArmnnType); |
| 1335 | std::vector<float> inputNoQuantizedValues = |
| 1336 | { |
| 1337 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1338 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1339 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1340 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1341 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1342 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1343 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1344 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1345 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1346 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1347 | }; |
| 1348 | |
| 1349 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 1350 | std::vector<float> kernelNoQuantizedValues = |
| 1351 | { |
| 1352 | 1, 2, 3, |
| 1353 | 4, 5, 6, |
| 1354 | 7, 8, 9 |
| 1355 | }; |
| 1356 | |
| 1357 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 1358 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 1359 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 1360 | std::vector<float> outputExpectedNoQuantizedValues = |
| 1361 | { |
| 1362 | 6., 5., 5., 5., |
| 1363 | 6., 5., 5., 5., |
| 1364 | 6., 5., 5., 5., |
| 1365 | 3., 2., 2., 2. |
| 1366 | }; |
| 1367 | |
| 1368 | return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 1369 | workloadFactory, |
| 1370 | memoryManager, |
| 1371 | inputNoQuantizedValues, |
| 1372 | inputTensorInfo, |
| 1373 | kernelNoQuantizedValues, |
| 1374 | kernelTensorInfo, |
| 1375 | outputExpectedNoQuantizedValues, |
| 1376 | outputTensorInfo, |
| 1377 | 3, |
| 1378 | 3, |
| 1379 | layout, |
| 1380 | biasEnabled); |
| 1381 | } |
| 1382 | |
| 1383 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 1384 | LayerTestResult<T, 4> DepthwiseConvolution2d2x3x3Dilation3x3Test( |
| 1385 | armnn::IWorkloadFactory& workloadFactory, |
| 1386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1387 | bool biasEnabled, |
| 1388 | const armnn::DataLayout layout) |
| 1389 | { |
| 1390 | armnn::TensorInfo inputTensorInfo({1, 2, 10, 10}, ArmnnType); |
| 1391 | std::vector<float> inputNoQuantizedValues = |
| 1392 | { |
| 1393 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1394 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1395 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1396 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1397 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1398 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1399 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1400 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1401 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1402 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1403 | |
| 1404 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1405 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1406 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1407 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1408 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1409 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1410 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1411 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1412 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1413 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1414 | }; |
| 1415 | |
| 1416 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 3, 3}, ArmnnType); |
| 1417 | std::vector<float> kernelNoQuantizedValues = |
| 1418 | { |
| 1419 | 1, 2, 3, |
| 1420 | 4, 5, 6, |
| 1421 | 7, 8, 9, |
| 1422 | |
| 1423 | 1, 2, 3, |
| 1424 | 4, 5, 6, |
| 1425 | 7, 8, 9 |
| 1426 | }; |
| 1427 | |
| 1428 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 1429 | // therefore the output will be 2x4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 1430 | armnn::TensorInfo outputTensorInfo({ 1, 2, 4, 4}, ArmnnType); |
| 1431 | std::vector<float> outputExpectedNoQuantizedValues = |
| 1432 | { |
| 1433 | 6., 5., 5., 5., |
| 1434 | 6., 5., 5., 5., |
| 1435 | 6., 5., 5., 5., |
| 1436 | 3., 2., 2., 2., |
| 1437 | |
| 1438 | 6., 5., 5., 5., |
| 1439 | 6., 5., 5., 5., |
| 1440 | 6., 5., 5., 5., |
| 1441 | 3., 2., 2., 2. |
| 1442 | }; |
| 1443 | |
| 1444 | return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 1445 | workloadFactory, |
| 1446 | memoryManager, |
| 1447 | inputNoQuantizedValues, |
| 1448 | inputTensorInfo, |
| 1449 | kernelNoQuantizedValues, |
| 1450 | kernelTensorInfo, |
| 1451 | outputExpectedNoQuantizedValues, |
| 1452 | outputTensorInfo, |
| 1453 | 3, |
| 1454 | 3, |
| 1455 | layout, |
| 1456 | biasEnabled); |
| 1457 | } |
| 1458 | |
| 1459 | |
| 1460 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 1461 | DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1462 | armnn::IWorkloadFactory&, |
| 1463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1464 | bool, |
| 1465 | armnn::DataLayout); |
| 1466 | |
| 1467 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 1468 | DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 1469 | armnn::IWorkloadFactory&, |
| 1470 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1471 | bool, |
| 1472 | armnn::DataLayout); |
| 1473 | |
| 1474 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 1475 | DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1476 | armnn::IWorkloadFactory&, |
| 1477 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1478 | bool, |
| 1479 | armnn::DataLayout); |
| 1480 | |
| 1481 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 1482 | DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1483 | armnn::IWorkloadFactory&, |
| 1484 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1485 | bool, |
| 1486 | armnn::DataLayout); |
| 1487 | |
| 1488 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 1489 | DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 1490 | armnn::IWorkloadFactory&, |
| 1491 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1492 | bool, |
| 1493 | armnn::DataLayout); |
| 1494 | |
| 1495 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 1496 | DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1497 | armnn::IWorkloadFactory&, |
| 1498 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1499 | bool, |
| 1500 | armnn::DataLayout); |
| 1501 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1502 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 1503 | armnn::IWorkloadFactory& workloadFactory, |
| 1504 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1505 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1506 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1507 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1508 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1509 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1510 | } |
| 1511 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1512 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 1513 | armnn::IWorkloadFactory& workloadFactory, |
| 1514 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1515 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1516 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1517 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1518 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1519 | } |
| 1520 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1521 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 1522 | armnn::IWorkloadFactory& workloadFactory, |
| 1523 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1524 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1525 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1526 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1527 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1528 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1529 | } |
| 1530 | |
Matthew Jackson | d6a9dee | 2019-07-22 13:53:24 +0100 | [diff] [blame] | 1531 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul64Test( |
| 1532 | armnn::IWorkloadFactory& workloadFactory, |
| 1533 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1534 | { |
| 1535 | armnn::TensorInfo inputTensorInfo({ 1, 1, 2, 2 }, armnn::DataType::Float32); |
| 1536 | auto input = MakeTensor<float, 4>(inputTensorInfo, { 1.f, 2.f, 3.f, 4.f }); |
| 1537 | |
| 1538 | std::vector<float> kernelData; |
| 1539 | std::vector<float> singleDepthKernel{ 1.f, -1.f, -1.f, 1.f }; |
| 1540 | for (unsigned int i = 0; i < 64; ++i) |
| 1541 | { |
| 1542 | kernelData.insert(kernelData.end(), singleDepthKernel.begin(), singleDepthKernel.end()); |
| 1543 | } |
| 1544 | armnn::TensorInfo kernelTensorInfo({ 64, 1, 2, 2 }, armnn::DataType::Float32); |
| 1545 | auto kernel = MakeTensor<float, 4>(kernelTensorInfo, kernelData); |
| 1546 | |
| 1547 | std::vector<float> expectedOutputData(64, 0.f); |
| 1548 | armnn::TensorInfo outputTensorInfo({ 1, 64, 1, 1 }, armnn::DataType::Float32); |
| 1549 | auto expectedOutput = MakeTensor<float, 4>(outputTensorInfo, expectedOutputData); |
| 1550 | |
| 1551 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1552 | workloadFactory, |
| 1553 | memoryManager, |
| 1554 | input, |
| 1555 | kernel, |
| 1556 | boost::multi_array<float, 1>(), |
| 1557 | expectedOutput, |
| 1558 | 0.f, |
| 1559 | 0, |
| 1560 | armnn::DataLayout::NCHW); |
| 1561 | } |
| 1562 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1563 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 1564 | armnn::IWorkloadFactory& workloadFactory, |
| 1565 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1566 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1567 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1568 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1569 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1570 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1571 | } |
| 1572 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1573 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 1574 | armnn::IWorkloadFactory& workloadFactory, |
| 1575 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1576 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1577 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1578 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1579 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1580 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1581 | } |
| 1582 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1583 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 1584 | armnn::IWorkloadFactory& workloadFactory, |
| 1585 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1586 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1587 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1588 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1589 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1590 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1591 | } |
| 1592 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1593 | LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest( |
| 1594 | armnn::IWorkloadFactory& workloadFactory, |
| 1595 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1596 | { |
| 1597 | return SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1598 | workloadFactory, |
| 1599 | memoryManager, |
| 1600 | 0.f, |
| 1601 | 0, |
| 1602 | false); |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1603 | } |
| 1604 | |
Ruomei Yan | 88d44b8 | 2019-05-23 14:29:06 +0100 | [diff] [blame] | 1605 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dInt16Test( |
| 1606 | armnn::IWorkloadFactory& workloadFactory, |
| 1607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1608 | bool biasEnabled, |
| 1609 | const armnn::DataLayout layout) |
| 1610 | { |
| 1611 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1612 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 1613 | } |
| 1614 | |
| 1615 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dDepthMul1Int16Test( |
| 1616 | armnn::IWorkloadFactory& workloadFactory, |
| 1617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1618 | bool biasEnabled, |
| 1619 | const armnn::DataLayout layout) |
| 1620 | { |
| 1621 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1622 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 1623 | } |
| 1624 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1625 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1626 | armnn::IWorkloadFactory& workloadFactory, |
| 1627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1628 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1629 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1630 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1631 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 1632 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1633 | } |
| 1634 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1635 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 1636 | armnn::IWorkloadFactory& workloadFactory, |
| 1637 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1638 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1639 | const armnn::DataLayout layout) |
| 1640 | { |
| 1641 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1642 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 1643 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1644 | |
| 1645 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 1646 | armnn::IWorkloadFactory& workloadFactory, |
| 1647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1648 | { |
| 1649 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1650 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1651 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1652 | } |
| 1653 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1654 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 1655 | armnn::IWorkloadFactory& workloadFactory, |
| 1656 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1657 | { |
| 1658 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1659 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1660 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1661 | } |
| 1662 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1663 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 1664 | armnn::IWorkloadFactory& workloadFactory, |
| 1665 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1666 | { |
| 1667 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1668 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1669 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1670 | } |
| 1671 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1672 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 1673 | armnn::IWorkloadFactory& workloadFactory, |
| 1674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1675 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1676 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1677 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1678 | } |
| 1679 | |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 1680 | LayerTestResult<float,2> SimpleAxisSoftmaxTest( |
| 1681 | armnn::IWorkloadFactory& workloadFactory, |
| 1682 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1683 | float beta, |
| 1684 | int axis) |
| 1685 | { |
| 1686 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, axis); |
| 1687 | } |
| 1688 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1689 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 1690 | armnn::IWorkloadFactory& workloadFactory, |
| 1691 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1692 | float beta) |
| 1693 | { |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 1694 | Simple3dSoftmaxOutputData data; |
| 1695 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, |
| 1696 | data.inputShape, data.outputData, data.inputData); |
| 1697 | } |
| 1698 | |
| 1699 | LayerTestResult<float,3> Simple3dAxisSoftmaxTest( |
| 1700 | armnn::IWorkloadFactory& workloadFactory, |
| 1701 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1702 | float beta, |
| 1703 | int axis) |
| 1704 | { |
| 1705 | armnn::TensorShape inputShape; |
| 1706 | std::vector<float> inputData; |
| 1707 | std::vector<float> outputData; |
| 1708 | switch (axis) |
| 1709 | { |
| 1710 | case -3: |
| 1711 | case 0: |
| 1712 | { |
| 1713 | inputShape = {5, 2, 2}; |
| 1714 | |
| 1715 | inputData = |
| 1716 | { |
| 1717 | 17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f, |
| 1718 | |
| 1719 | 15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f |
| 1720 | }; |
| 1721 | |
| 1722 | outputData = |
| 1723 | { |
| 1724 | 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, |
| 1725 | 0.236882800924671f, |
| 1726 | 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f, |
| 1727 | 0.087144312427294f, |
| 1728 | |
| 1729 | 0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, |
| 1730 | 0.032058600957022f, |
| 1731 | 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f, |
| 1732 | 7.246299848982885e-08f |
| 1733 | }; |
| 1734 | break; |
| 1735 | } |
| 1736 | case -2: |
| 1737 | case 1: |
| 1738 | { |
| 1739 | inputShape = {2, 5, 2}; |
| 1740 | |
| 1741 | inputData = |
| 1742 | { |
| 1743 | 17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f, |
| 1744 | |
| 1745 | 17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f |
| 1746 | }; |
| 1747 | |
| 1748 | outputData = |
| 1749 | { |
| 1750 | 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f, |
| 1751 | 0.087144312427294f, |
| 1752 | 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, |
| 1753 | 7.246299848982885e-08f, |
| 1754 | |
| 1755 | 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f, |
| 1756 | 0.087144312427294f, |
| 1757 | 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, |
| 1758 | 7.246299848982885e-08f |
| 1759 | }; |
| 1760 | break; |
| 1761 | } |
| 1762 | case -1: |
| 1763 | case 2: |
| 1764 | { |
| 1765 | inputShape = {2, 2, 5}; |
| 1766 | |
| 1767 | inputData = |
| 1768 | { |
| 1769 | 17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f, |
| 1770 | 17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f |
| 1771 | }; |
| 1772 | |
| 1773 | outputData = |
| 1774 | { |
| 1775 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1776 | 7.246299848982885e-08f, |
| 1777 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1778 | 7.246299848982885e-08f, |
| 1779 | |
| 1780 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1781 | 7.246299848982885e-08f, |
| 1782 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1783 | 7.246299848982885e-08f |
| 1784 | }; |
| 1785 | break; |
| 1786 | } |
| 1787 | } |
| 1788 | |
| 1789 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, |
| 1790 | inputShape, outputData, inputData, axis); |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1791 | } |
| 1792 | |
| 1793 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 1794 | armnn::IWorkloadFactory& workloadFactory, |
| 1795 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1796 | float beta) |
| 1797 | { |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 1798 | Simple4dSoftmaxData data; |
| 1799 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, data.inputShape, |
| 1800 | data.outputData, data.inputData); |
| 1801 | } |
| 1802 | |
| 1803 | LayerTestResult<float,4> Simple4dAxisSoftmaxTest( |
| 1804 | armnn::IWorkloadFactory& workloadFactory, |
| 1805 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1806 | float beta, |
| 1807 | int axis) |
| 1808 | { |
| 1809 | armnn::TensorShape inputShape; |
| 1810 | std::vector<float> inputData; |
| 1811 | std::vector<float> outputData; |
| 1812 | switch (axis) |
| 1813 | { |
| 1814 | case -4: |
| 1815 | case 0: |
| 1816 | { |
| 1817 | inputShape = {5, 2, 2, 2}; |
| 1818 | |
| 1819 | inputData = |
| 1820 | { |
| 1821 | 17.0f, -1.0f, 17.0f, -1.0f, 17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, |
| 1822 | 16.0f, -2.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f, 15.0f, -3.0f, |
| 1823 | 15.0f, -3.0f, 15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 14.0f, -4.0f, |
| 1824 | 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f, 1.0f, -17.0f, 1.0f, -17.0f |
| 1825 | }; |
| 1826 | |
| 1827 | outputData = |
| 1828 | { |
| 1829 | 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, |
| 1830 | 0.643914213228014f, |
| 1831 | 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, |
| 1832 | 0.236882800924671f, |
| 1833 | 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, |
| 1834 | 0.236882800924671f, |
| 1835 | 0.236882800924671f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f, |
| 1836 | 0.087144312427294f, |
| 1837 | |
| 1838 | 0.087144312427294f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f, |
| 1839 | 0.032058600957022f, |
| 1840 | 0.032058600957022f, 0.032058600957022f, 0.032058600957022f, 0.032058600957022f, |
| 1841 | 0.032058600957022f, |
| 1842 | 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, |
| 1843 | 7.246299848982885e-08f, |
| 1844 | 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f, |
| 1845 | 7.246299848982885e-08f, 7.246299848982885e-08f |
| 1846 | }; |
| 1847 | break; |
| 1848 | } |
| 1849 | case -3: |
| 1850 | case 1: |
| 1851 | { |
| 1852 | inputShape = {2, 5, 2, 2}; |
| 1853 | |
| 1854 | inputData = |
| 1855 | { |
| 1856 | 17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f, |
| 1857 | 15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f, |
| 1858 | 17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f, |
| 1859 | 15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f |
| 1860 | }; |
| 1861 | |
| 1862 | outputData = |
| 1863 | { |
| 1864 | 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, |
| 1865 | 0.236882800924671f, |
| 1866 | 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f, |
| 1867 | 0.087144312427294f, |
| 1868 | 0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, |
| 1869 | 0.032058600957022f, |
| 1870 | 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f, |
| 1871 | 7.246299848982885e-08f, |
| 1872 | |
| 1873 | |
| 1874 | 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, |
| 1875 | 0.236882800924671f, |
| 1876 | 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f, |
| 1877 | 0.087144312427294f, |
| 1878 | 0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, |
| 1879 | 0.032058600957022f, |
| 1880 | 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f, |
| 1881 | 7.246299848982885e-08f |
| 1882 | }; |
| 1883 | break; |
| 1884 | } |
| 1885 | case -2: |
| 1886 | case 2: |
| 1887 | { |
| 1888 | inputShape = {2, 2, 5, 2}; |
| 1889 | |
| 1890 | inputData = |
| 1891 | { |
| 1892 | 17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f, |
| 1893 | 17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f, |
| 1894 | 17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f, |
| 1895 | 17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f |
| 1896 | }; |
| 1897 | |
| 1898 | outputData = |
| 1899 | { |
| 1900 | 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f, |
| 1901 | 0.087144312427294f, |
| 1902 | 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, |
| 1903 | 7.246299848982885e-08f, |
| 1904 | 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f, |
| 1905 | 0.087144312427294f, |
| 1906 | 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, |
| 1907 | 7.246299848982885e-08f, |
| 1908 | |
| 1909 | 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f, |
| 1910 | 0.087144312427294f, |
| 1911 | 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, |
| 1912 | 7.246299848982885e-08f, |
| 1913 | 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f, |
| 1914 | 0.087144312427294f, |
| 1915 | 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, |
| 1916 | 7.246299848982885e-08f |
| 1917 | }; |
| 1918 | break; |
| 1919 | } |
| 1920 | case -1: |
| 1921 | case 3: |
| 1922 | { |
| 1923 | inputShape = {2, 2, 2, 5}; |
| 1924 | |
| 1925 | inputData = |
| 1926 | { |
| 1927 | 17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f, |
| 1928 | 17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f, |
| 1929 | 17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f, |
| 1930 | 17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f |
| 1931 | }; |
| 1932 | |
| 1933 | outputData = |
| 1934 | { |
| 1935 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1936 | 7.246299848982885e-08f, |
| 1937 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1938 | 7.246299848982885e-08f, |
| 1939 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1940 | 7.246299848982885e-08f, |
| 1941 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1942 | 7.246299848982885e-08f, |
| 1943 | |
| 1944 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1945 | 7.246299848982885e-08f, |
| 1946 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1947 | 7.246299848982885e-08f, |
| 1948 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1949 | 7.246299848982885e-08f, |
| 1950 | 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f, |
| 1951 | 7.246299848982885e-08f |
| 1952 | }; |
| 1953 | break; |
| 1954 | } |
| 1955 | } |
| 1956 | |
| 1957 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, inputShape, |
| 1958 | outputData, inputData, axis); |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1959 | } |
| 1960 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1961 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 1962 | armnn::IWorkloadFactory& workloadFactory, |
| 1963 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1964 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1965 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1966 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1967 | } |
| 1968 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1969 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 1970 | armnn::IWorkloadFactory& workloadFactory, |
| 1971 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1972 | float beta) |
| 1973 | { |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 1974 | Simple3dSoftmaxOutputData data; |
| 1975 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta, |
| 1976 | data.inputShape, data.outputData, data.inputData); |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1977 | } |
| 1978 | |
| 1979 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 1980 | armnn::IWorkloadFactory& workloadFactory, |
| 1981 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1982 | float beta) |
| 1983 | { |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 1984 | Simple4dSoftmaxData data; |
| 1985 | |
| 1986 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta, |
| 1987 | data.inputShape, data.outputData, data.inputData); |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1988 | } |
| 1989 | |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame] | 1990 | LayerTestResult<int16_t,2> SimpleSoftmaxUint16Test( |
| 1991 | armnn::IWorkloadFactory& workloadFactory, |
| 1992 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1993 | float beta) |
| 1994 | { |
| 1995 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1996 | } |
| 1997 | |
| 1998 | LayerTestResult<int16_t,3> Simple3dSoftmaxUint16Test( |
| 1999 | armnn::IWorkloadFactory& workloadFactory, |
| 2000 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2001 | float beta) |
| 2002 | { |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 2003 | Simple3dSoftmaxOutputData data; |
| 2004 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta, |
| 2005 | data.inputShape, data.outputData, data.inputData); |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame] | 2006 | } |
| 2007 | |
| 2008 | LayerTestResult<int16_t,4> Simple4dSoftmaxUint16Test( |
| 2009 | armnn::IWorkloadFactory& workloadFactory, |
| 2010 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2011 | float beta) |
| 2012 | { |
Francis Murtagh | 07f2121 | 2019-07-23 09:50:50 +0100 | [diff] [blame^] | 2013 | Simple4dSoftmaxData data; |
| 2014 | |
| 2015 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta, |
| 2016 | data.inputShape, data.outputData, data.inputData); |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame] | 2017 | } |
| 2018 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2019 | LayerTestResult<float,4> CompareNormalizationTest( |
| 2020 | armnn::IWorkloadFactory& workloadFactory, |
| 2021 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2022 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 2023 | armnn::NormalizationAlgorithmChannel normChannel, |
| 2024 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2025 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2026 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2027 | } |
| 2028 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2029 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 2030 | armnn::IWorkloadFactory& workloadFactory, |
| 2031 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2032 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 2033 | float beta) |
| 2034 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2035 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 2036 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2037 | } |
| 2038 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2039 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 2040 | armnn::IWorkloadFactory& workloadFactory, |
| 2041 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2042 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 2043 | float beta) |
| 2044 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2045 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2046 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2047 | } |
| 2048 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2049 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 2050 | armnn::IWorkloadFactory& workloadFactory, |
| 2051 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2052 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2053 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2054 | } |
| 2055 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2056 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 2057 | armnn::IWorkloadFactory& workloadFactory, |
| 2058 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2059 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2060 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2061 | } |
| 2062 | |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 2063 | std::vector<LayerTestResult<int16_t,3>> SplitterInt16Test( |
| 2064 | armnn::IWorkloadFactory& workloadFactory, |
| 2065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2066 | { |
| 2067 | return SplitterTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 2068 | } |
| 2069 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2070 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 2071 | armnn::IWorkloadFactory& workloadFactory, |
| 2072 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2073 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2074 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2075 | } |
| 2076 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2077 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 2078 | armnn::IWorkloadFactory& workloadFactory, |
| 2079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2080 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2081 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2082 | } |
| 2083 | |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 2084 | LayerTestResult<int16_t, 3> CopyViaSplitterInt16Test( |
| 2085 | armnn::IWorkloadFactory& workloadFactory, |
| 2086 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2087 | { |
| 2088 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 2089 | } |
| 2090 | |
Jan Eilers | 38e05bd | 2019-06-26 13:10:09 +0100 | [diff] [blame] | 2091 | void LstmUtilsZeroVectorTest() |
| 2092 | { |
| 2093 | armnn::TensorInfo inputDesc({4}, armnn::DataType::Float32); |
| 2094 | boost::multi_array<float, 1> input = MakeTensor<float, 1>(inputDesc, std::vector<float>( |
| 2095 | {2., 3., 3., 4.})); |
| 2096 | |
| 2097 | boost::multi_array<float, 1> expectedOutput = MakeTensor<float, 1>(inputDesc, std::vector<float>( |
| 2098 | {0., 0., 0., 0.})); |
| 2099 | |
| 2100 | return LstmUtilsZeroVectorTestImpl<armnn::DataType::Float32>(input, 4, expectedOutput); |
| 2101 | } |
| 2102 | |
| 2103 | void LstmUtilsMeanStddevNormalizationNoneZeroInputTest() |
| 2104 | { |
| 2105 | uint32_t batchSize = 2; |
| 2106 | uint32_t vecSize = 4; |
| 2107 | armnn::TensorInfo inputDesc({batchSize, vecSize}, armnn::DataType::Float32); |
| 2108 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2109 | { 0.1f, 0.2f, 0.3f, 0.4f, //batch 0 |
| 2110 | 0.9f, 1.0f, 1.1f, 1.2f })); //batch 1 |
| 2111 | |
| 2112 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2113 | { -1.34164071f, -0.447213531f, 0.44721365f, 1.34164071f, //batch 0 |
| 2114 | -1.34163153f, -0.447210163f, 0.447211236f, 1.3416326f })); //batch 1 |
| 2115 | |
| 2116 | return LstmUtilsMeanStddevNormalizationTestImpl<armnn::DataType::Float32>(input, |
| 2117 | vecSize, batchSize, expectedOutput); |
| 2118 | } |
| 2119 | |
| 2120 | void LstmUtilsMeanStddevNormalizationAllZeroInputTest() |
| 2121 | { |
| 2122 | uint32_t batchSize = 2; |
| 2123 | uint32_t vecSize = 4; |
| 2124 | armnn::TensorInfo inputDesc({batchSize, vecSize}, armnn::DataType::Float32); |
| 2125 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2126 | { 0.0f, 0.0f, 0.0f, 0.0f, //batch 0 |
| 2127 | 0.0f, 0.0f, 0.0f, 0.0f })); //batch 1 |
| 2128 | |
| 2129 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2130 | { 0.0f, 0.0f, 0.0f, 0.0f, //batch 0 |
| 2131 | 0.0f, 0.0f, 0.0f, 0.0f })); //batch 1 |
| 2132 | |
| 2133 | return LstmUtilsMeanStddevNormalizationTestImpl<armnn::DataType::Float32>(input, |
| 2134 | vecSize, batchSize, expectedOutput); |
| 2135 | } |
| 2136 | |
| 2137 | void LstmUtilsMeanStddevNormalizationMixedZeroInputTest() |
| 2138 | { |
| 2139 | uint32_t batchSize = 2; |
| 2140 | uint32_t vecSize = 4; |
| 2141 | armnn::TensorInfo inputDesc({batchSize, vecSize}, armnn::DataType::Float32); |
| 2142 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2143 | { 0.0f, 0.0f, 0.0f, 0.0f, //batch 0 |
| 2144 | 0.1f, 0.2f, 0.3f, 0.4f })); //batch 1 |
| 2145 | |
| 2146 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2147 | { 0.0f, 0.0f, 0.0f, 0.0f, //batch 0 |
| 2148 | -1.34164071f, -0.447213531f, 0.44721365f, 1.34164071f })); //batch 1 |
| 2149 | |
| 2150 | return LstmUtilsMeanStddevNormalizationTestImpl<armnn::DataType::Float32>(input, |
| 2151 | vecSize, batchSize, expectedOutput); |
| 2152 | } |
| 2153 | |
| 2154 | |
| 2155 | void LstmUtilsVectorBatchVectorCwiseProductTest() |
| 2156 | { |
| 2157 | uint32_t batchSize = 4; |
| 2158 | uint32_t vecSize = 29; |
| 2159 | armnn::TensorInfo vecDesc({vecSize}, armnn::DataType::Float32); |
| 2160 | boost::multi_array<float, 1> vector = MakeTensor<float, 1>(vecDesc, std::vector<float>( |
| 2161 | { 1.1f, 2.2f, 3.3f, 4.4f, 5.5f, 6.6f, 7.7f, 8.8f, 9.9f, 10.1f, |
| 2162 | 11.11f, 12.12f, 13.13f, 14.14f, 15.15f, 16.16f, 17.17f, 18.18f, 19.19f, 20.2f, |
| 2163 | 21.21f, 22.22f, 23.23f, 24.24f, 25.25f, 26.26f, 27.27f, 28.28f, 0.0f})); |
| 2164 | |
| 2165 | armnn::TensorInfo batchVecDesc({batchSize, vecSize}, armnn::DataType::Float32); |
| 2166 | boost::multi_array<float, 2> batchVector = MakeTensor<float, 2>(batchVecDesc, std::vector<float>( |
| 2167 | { /* batch 0 */ |
| 2168 | 1.1f, 2.2f, 3.3f, 4.4f, 5.5f, 6.6f, 7.7f, 8.8f, 9.9f, 10.1f, |
| 2169 | 11.11f, 12.12f, 13.13f, 14.14f, 15.15f, 16.16f, 17.17f, 18.18f, 19.19f, 20.2f, |
| 2170 | 21.21f, 22.22f, 23.23f, 24.24f, 25.25f, 26.26f, 27.27f, 28.28f, 0.0f, |
| 2171 | /* batch 1 */ |
| 2172 | -1.1f, -2.2f, -3.3f, -4.4f, -5.5f, -6.6f, -7.7f, -8.8f, -9.9f, -10.1f, |
| 2173 | -11.11f, -12.12f, -13.13f, -14.14f, -15.15f, -16.16f, -17.17f, -18.18f, -19.19f, -20.2f, |
| 2174 | -21.21f, -22.22f, -23.23f, -24.24f, -25.25f, -26.26f, -27.27f, -28.28f, 0.0f, |
| 2175 | /* batch 2 */ |
| 2176 | 1.1f, -2.2f, 3.3f, -4.4f, 5.5f, -6.6f, 7.7f, -8.8f, 9.9f, -10.1f, |
| 2177 | 11.11f, -12.12f, 13.13f, -14.14f, 15.15f, -16.16f, 17.17f, -18.18f, 19.19f, -20.2f, |
| 2178 | 21.21f, -22.22f, 23.23f, -24.24f, 25.25f, -26.26f, 27.27f, -28.28f, 0.0f, |
| 2179 | /* batch 3 */ |
| 2180 | -1.1f, 2.2f, -3.3f, 4.4f, -5.5f, 6.6f, -7.7f, 8.8f, -9.9f, 10.1f, |
| 2181 | -11.11f, 12.12f, -13.13f, 14.14f, -15.15f, 16.16f, -17.17f, 18.18f, -19.19f, 20.2f, |
| 2182 | -21.21f, 22.22f, -23.23f, 24.24f, -25.25f, 26.26f, -27.27f, 28.28f, 0.0f})); |
| 2183 | |
| 2184 | // Expect output = input * output + output. |
| 2185 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(batchVecDesc, std::vector<float>( |
| 2186 | { /* batch 0 */ |
| 2187 | 1.210000f, 4.840000f, 10.889999f, 19.360001f, 30.250000f, 43.559998f, |
| 2188 | 59.289997f, 77.440002f, 98.009995f, 102.010010f, 123.432091f, 146.894394f, |
| 2189 | 172.396896f, 199.939606f, 229.522491f, 261.145599f, 294.808899f, 330.512421f, |
| 2190 | 368.256134f, 408.040039f, 449.864075f, 493.728363f, 539.632874f, 587.577576f, |
| 2191 | 637.562500f, 689.587585f, 743.652954f, 799.758423f, 0.000000f, |
| 2192 | /* batch 1 */ |
| 2193 | -1.210000f, -4.840000f, -10.889999f, -19.360001f, -30.250000f, -43.559998f, |
| 2194 | -59.289997f, -77.440002f, -98.009995f, -102.010010f, -123.432091f, -146.894394f, |
| 2195 | -172.396896f, -199.939606f, -229.522491f, -261.145599f, -294.808899f, -330.512421f, |
| 2196 | -368.256134f, -408.040039f, -449.864075f, -493.728363f, -539.632874f, -587.577576f, |
| 2197 | -637.562500f, -689.587585f, -743.652954f, -799.758423f, 0.000000f, |
| 2198 | /* batch 2 */ |
| 2199 | 1.210000f, -4.840000f, 10.889999f, -19.360001f, 30.250000f, -43.559998f, |
| 2200 | 59.289997f, -77.440002f, 98.009995f, -102.010010f, 123.432091f, -146.894394f, |
| 2201 | 172.396896f, -199.939606f, 229.522491f, -261.145599f, 294.808899f, -330.512421f, |
| 2202 | 368.256134f, -408.040039f, 449.864075f, -493.728363f, 539.632874f, -587.577576f, |
| 2203 | 637.562500f, -689.587585f, 743.652954f, -799.758423f, 0.000000f, |
| 2204 | /* batch 3 */ |
| 2205 | -1.210000f, 4.840000f, -10.889999f, 19.360001f, -30.250000f, 43.559998f, |
| 2206 | -59.289997f, 77.440002f, -98.009995f, 102.010010f, -123.432091f, 146.894394f, |
| 2207 | -172.396896f, 199.939606f, -229.522491f, 261.145599f, -294.808899f, 330.512421f, |
| 2208 | -368.256134f, 408.040039f, -449.864075f, 493.728363f, -539.632874f, 587.577576f, |
| 2209 | -637.562500f, 689.587585f, -743.652954f, 799.758423f, 0.000000f})); |
| 2210 | |
| 2211 | return LstmUtilsVectorBatchVectorCwiseProductTestImpl<armnn::DataType::Float32>(vector, batchVector, |
| 2212 | vecSize, batchSize, expectedOutput); |
| 2213 | } |
| 2214 | |
| 2215 | |
| 2216 | void LstmUtilsVectorBatchVectorAddTest() |
| 2217 | { |
| 2218 | uint32_t batchSize = 2; |
| 2219 | uint32_t vecSize = 3; |
| 2220 | armnn::TensorInfo vecDesc({vecSize}, armnn::DataType::Float32); |
| 2221 | boost::multi_array<float, 1> vector = MakeTensor<float, 1>(vecDesc, std::vector<float>( |
| 2222 | { 0.0f, -0.5f, 1.0f})); |
| 2223 | |
| 2224 | armnn::TensorInfo batchVecDesc({batchSize, vecSize}, armnn::DataType::Float32); |
| 2225 | boost::multi_array<float, 2> batchVector = MakeTensor<float, 2>(batchVecDesc, std::vector<float>( |
| 2226 | { 1.0f, 2.0f, 3.0f, //batch 0 |
| 2227 | 4.0f, 5.0f, 6.0f})); //batch 1 |
| 2228 | |
| 2229 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(batchVecDesc, std::vector<float>( |
| 2230 | { 1.0f, 1.5f, 4.0f, |
| 2231 | 4.0f, 4.5f, 7.0f})); |
| 2232 | |
| 2233 | return LstmUtilsVectorBatchVectorAddTestImpl<armnn::DataType::Float32>(vector, batchVector, |
| 2234 | vecSize, batchSize, expectedOutput); |
| 2235 | } |
| 2236 | |
| 2237 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2238 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2239 | armnn::IWorkloadFactory& workloadFactory, |
| 2240 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2241 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2242 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2243 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2244 | { 2., 3., 3., 4. })); |
| 2245 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2246 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2247 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 2248 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 2249 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 2250 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2251 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2252 | } |
| 2253 | |
| 2254 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 2255 | armnn::IWorkloadFactory& workloadFactory, |
| 2256 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2257 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2258 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2259 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2260 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 2261 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 2262 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2263 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2264 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 2265 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 2266 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 2267 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 2268 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 2269 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 2270 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 2271 | 0.02168f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 2272 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>( |
| 2273 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2274 | } |
| 2275 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2276 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 2277 | armnn::IWorkloadFactory& workloadFactory, |
| 2278 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2279 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2280 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2281 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2282 | {2., 3., 3., 4.})); |
| 2283 | |
| 2284 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2285 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2286 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 2287 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 2288 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 2289 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 2290 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2291 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2292 | } |
| 2293 | |
Jan Eilers | 38e05bd | 2019-06-26 13:10:09 +0100 | [diff] [blame] | 2294 | |
| 2295 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest( |
| 2296 | armnn::IWorkloadFactory& workloadFactory, |
| 2297 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2298 | { |
| 2299 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
| 2300 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 2301 | {0.7f, 0.8f, 0.1f, 0.2f, 0.3f, //batch 0 |
| 2302 | 0.3f, 0.2f, 0.9f, 0.8f, 0.1f})); //batch 1 |
| 2303 | |
| 2304 | armnn::TensorInfo outputDesc({ 2, 3 }, armnn::DataType::Float32); |
| 2305 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 2306 | { 0.0244077f, 0.128027f, -0.00170918f, //batch 0 |
| 2307 | -0.00692428f, 0.0848741f, 0.063445f})); //batch 1 |
| 2308 | return LstmLayerNoCifgWithPeepholeWithProjectionWithLayerNormTestImpl<armnn::DataType::Float32>( |
| 2309 | workloadFactory, memoryManager, input, expectedOutput); |
| 2310 | } |
| 2311 | |
| 2312 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 2313 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionTest( |
| 2314 | armnn::IWorkloadFactory& workloadFactory, |
| 2315 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2316 | { |
| 2317 | const float qScale = 1.0f; |
| 2318 | const int32_t qOffset = 0; |
| 2319 | |
| 2320 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 2321 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 2322 | |
| 2323 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 2324 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 2325 | std::vector<float>{2., 3., 3., 4.})); |
| 2326 | |
| 2327 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 2328 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 2329 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 2330 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 2331 | |
| 2332 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 2333 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 2334 | |
| 2335 | } |
| 2336 | |
| 2337 | LayerTestResult<int16_t, 2> LstmLayerInt16WithCifgWithPeepholeNoProjectionTest( |
| 2338 | armnn::IWorkloadFactory& workloadFactory, |
| 2339 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2340 | { |
| 2341 | const float qScale = 1.0f; |
| 2342 | const int32_t qOffset = 0; |
| 2343 | |
| 2344 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 2345 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 2346 | |
| 2347 | armnn::TensorInfo inputDesc({ 2, 2 }, datatype); |
| 2348 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 2349 | std::vector<float>({ 2., 3., 3., 4. }))); |
| 2350 | |
| 2351 | armnn::TensorInfo outputDesc({ 2, 4 }, datatype); |
| 2352 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 2353 | qOffset, std::vector<float>( |
| 2354 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 2355 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}))); |
| 2356 | |
| 2357 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>( |
| 2358 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 2359 | } |
| 2360 | |
| 2361 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgWithPeepholeWithProjectionTest( |
| 2362 | armnn::IWorkloadFactory& workloadFactory, |
| 2363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2364 | { |
| 2365 | const float qScale = 2.0f; |
| 2366 | const int32_t qOffset = 0; |
| 2367 | |
| 2368 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 2369 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 2370 | |
| 2371 | armnn::TensorInfo inputDesc({ 2, 5 }, datatype); |
| 2372 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 2373 | qOffset, std::vector<float>( |
| 2374 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 2375 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}))); |
| 2376 | |
| 2377 | armnn::TensorInfo outputDesc({ 2, 16 }, datatype); |
| 2378 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 2379 | qOffset, std::vector<float>( |
| 2380 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 2381 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 2382 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 2383 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 2384 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 2385 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, 0.02168f}))); |
| 2386 | |
| 2387 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>( |
| 2388 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 2389 | } |
| 2390 | |
| 2391 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest( |
| 2392 | armnn::IWorkloadFactory& workloadFactory, |
| 2393 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2394 | { |
| 2395 | const float qScale = 1.0f; |
| 2396 | const int32_t qOffset = 0; |
| 2397 | |
| 2398 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; // datatype & constants set to QSymm16 |
| 2399 | |
| 2400 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 2401 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 2402 | qOffset, std::vector<float>{2., 3., 3., 4.})); |
| 2403 | |
| 2404 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 2405 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 2406 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 2407 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 2408 | |
| 2409 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 2410 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype); |
| 2411 | } |
| 2412 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 2413 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2414 | armnn::IWorkloadFactory& workloadFactory, |
| 2415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2416 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2417 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2418 | unsigned int outputHeight = 6; |
| 2419 | unsigned int outputChannels = 3; |
| 2420 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2421 | unsigned int inputWidth1 = 3; |
| 2422 | unsigned int inputHeight1 = 6; |
| 2423 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2424 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2425 | unsigned int inputWidth2 = 3; |
| 2426 | unsigned int inputHeight2 = 6; |
| 2427 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2428 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2429 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2430 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 2431 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 2432 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2433 | |
| 2434 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 2435 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2436 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2437 | { |
| 2438 | 1.0f, 2.0f, 3.0f, |
| 2439 | 4.0f, 5.0f, 6.0f, |
| 2440 | 7.0f, 8.0f, 9.0f, |
| 2441 | 10.0f, 11.0f, 12.0f, |
| 2442 | 13.0f, 14.0f, 15.0f, |
| 2443 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2444 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2445 | 19.0f, 20.0f, 21.0f, |
| 2446 | 22.0f, 23.0f, 24.0f, |
| 2447 | 25.0f, 26.0f, 27.0f, |
| 2448 | 28.0f, 29.0f, 30.0f, |
| 2449 | 31.0f, 32.0f, 33.0f, |
| 2450 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2451 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2452 | 37.0f, 38.0f, 39.0f, |
| 2453 | 40.0f, 41.0f, 42.0f, |
| 2454 | 43.0f, 44.0f, 45.0f, |
| 2455 | 46.0f, 47.0f, 48.0f, |
| 2456 | 49.0f, 50.0f, 51.0f, |
| 2457 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2458 | }) |
| 2459 | ); |
| 2460 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2461 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 2462 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2463 | 1.0f, 2.0f, 3.0f, |
| 2464 | 4.0f, 5.0f, 6.0f, |
| 2465 | 7.0f, 8.0f, 9.0f, |
| 2466 | 10.0f, 11.0f, 12.0f, |
| 2467 | 13.0f, 14.0f, 15.0f, |
| 2468 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2469 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2470 | 19.0f, 20.0f, 21.0f, |
| 2471 | 22.0f, 23.0f, 24.0f, |
| 2472 | 25.0f, 26.0f, 27.0f, |
| 2473 | 28.0f, 29.0f, 30.0f, |
| 2474 | 31.0f, 32.0f, 33.0f, |
| 2475 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2476 | }) |
| 2477 | ); |
| 2478 | |
| 2479 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 2480 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2481 | 37.0f, 38.0f, 39.0f, |
| 2482 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2483 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2484 | 46.0f, 47.0f, 48.0f, |
| 2485 | 49.0f, 50.0f, 51.0f, |
| 2486 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2487 | }) |
| 2488 | ); |
| 2489 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2490 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 2491 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2492 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2493 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 2494 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2495 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2496 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2497 | |
| 2498 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2499 | |
| 2500 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 2501 | subTensorsSupported ? |
| 2502 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2503 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2504 | |
| 2505 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 2506 | subTensorsSupported ? |
| 2507 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2508 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2509 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 2510 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2511 | armnn::WorkloadInfo info; |
| 2512 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2513 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2514 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2515 | |
| 2516 | data.m_ViewOrigins.push_back(window1); |
| 2517 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2518 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 2519 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2520 | |
| 2521 | inputHandle1->Allocate(); |
| 2522 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2523 | outputHandle->Allocate(); |
| 2524 | |
| 2525 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 2526 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2527 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2528 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2529 | workload->Execute(); |
| 2530 | |
| 2531 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 2532 | |
| 2533 | return ret; |
| 2534 | } |
| 2535 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2536 | LayerTestResult<float,4> AdditionTest( |
| 2537 | armnn::IWorkloadFactory& workloadFactory, |
| 2538 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2539 | { |
| 2540 | unsigned int batchSize = 2; |
| 2541 | unsigned int channels = 2; |
| 2542 | unsigned int height = 2; |
| 2543 | unsigned int width = 3; |
| 2544 | |
| 2545 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 2546 | armnn::TensorInfo outputTensorInfo; |
| 2547 | |
| 2548 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 2549 | |
| 2550 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2551 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2552 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2553 | |
| 2554 | |
| 2555 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 2556 | { |
| 2557 | 0.0f, 2.0f, 1.0f, |
| 2558 | 0.2f, 1.0f, 2.0f, |
| 2559 | |
| 2560 | 1.0f, 2.0f, 1.0f, |
| 2561 | 0.2f, 1.0f, 2.0f, |
| 2562 | |
| 2563 | 0.0f, 2.0f, 1.0f, |
| 2564 | 4.2f, 1.0f, 2.0f, |
| 2565 | |
| 2566 | 0.0f, 0.0f, 1.0f, |
| 2567 | 0.2f, 1.0f, 2.0f, |
| 2568 | })); |
| 2569 | |
| 2570 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 2571 | { |
| 2572 | 1.0f, 2.0f, 1.0f, |
| 2573 | 0.0f, 1.0f, 2.0f, |
| 2574 | |
| 2575 | 1.0f, 2.0f, -2.0f, |
| 2576 | 0.2f, 1.0f, 2.0f, |
| 2577 | |
| 2578 | 0.0f, 2.0f, 1.0f, |
| 2579 | 4.2f, 0.0f, -3.0f, |
| 2580 | |
| 2581 | 0.0f, 0.0f, 1.0f, |
| 2582 | 0.7f, 1.0f, 5.0f, |
| 2583 | })); |
| 2584 | |
| 2585 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2586 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 2587 | { |
| 2588 | 1.0f, 4.0f, 2.0f, |
| 2589 | 0.2f, 2.0f, 4.0f, |
| 2590 | |
| 2591 | 2.0f, 4.0f, -1.0f, |
| 2592 | 0.4f, 2.0f, 4.0f, |
| 2593 | |
| 2594 | 0.0f, 4.0f, 2.0f, |
| 2595 | 8.4f, 1.0f, -1.0f, |
| 2596 | |
| 2597 | 0.0f, 0.0f, 2.0f, |
| 2598 | 0.9f, 2.0f, 7.0f, |
| 2599 | })); |
| 2600 | |
| 2601 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2602 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2603 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2604 | |
| 2605 | armnn::AdditionQueueDescriptor data; |
| 2606 | armnn::WorkloadInfo info; |
| 2607 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2608 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2609 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2610 | |
| 2611 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2612 | |
| 2613 | inputHandle1->Allocate(); |
| 2614 | inputHandle2->Allocate(); |
| 2615 | outputHandle->Allocate(); |
| 2616 | |
| 2617 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2618 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2619 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2620 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2621 | workload->Execute(); |
| 2622 | |
| 2623 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2624 | |
| 2625 | return ret; |
| 2626 | } |
| 2627 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2628 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2629 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 2630 | armnn::IWorkloadFactory& workloadFactory, |
| 2631 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2632 | float qScale, |
| 2633 | int32_t qOffset) |
| 2634 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2635 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 2636 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 2637 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2638 | |
| 2639 | if (armnn::IsQuantizedType<T>()) |
| 2640 | { |
| 2641 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2642 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 2643 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 2644 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 2645 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2646 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 2647 | } |
| 2648 | |
| 2649 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 2650 | { |
| 2651 | 0.0f, |
| 2652 | 1.0f, |
| 2653 | |
| 2654 | 2.0f, |
| 2655 | 3.0f, |
| 2656 | |
| 2657 | 4.0f, |
| 2658 | 5.0f, |
| 2659 | })); |
| 2660 | |
| 2661 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 2662 | { |
| 2663 | 0.5f, 1.5f, 2.5f, |
| 2664 | 3.5f, 4.5f, 5.5f, |
| 2665 | })); |
| 2666 | |
| 2667 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 2668 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 2669 | { |
| 2670 | 0.5f, 1.5f, 2.5f, |
| 2671 | 4.5f, 5.5f, 6.5f, |
| 2672 | |
| 2673 | 2.5f, 3.5f, 4.5f, |
| 2674 | 6.5f, 7.5f, 8.5f, |
| 2675 | |
| 2676 | 4.5f, 5.5f, 6.5f, |
| 2677 | 8.5f, 9.5f, 10.5f, |
| 2678 | })); |
| 2679 | |
| 2680 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2681 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2682 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2683 | |
| 2684 | armnn::AdditionQueueDescriptor data; |
| 2685 | armnn::WorkloadInfo info; |
| 2686 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2687 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2688 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2689 | |
| 2690 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2691 | |
| 2692 | inputHandle1->Allocate(); |
| 2693 | inputHandle2->Allocate(); |
| 2694 | outputHandle->Allocate(); |
| 2695 | |
| 2696 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2697 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2698 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2699 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2700 | workload->Execute(); |
| 2701 | |
| 2702 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2703 | |
| 2704 | return ret; |
| 2705 | } |
| 2706 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2707 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2708 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 2709 | armnn::IWorkloadFactory& workloadFactory, |
| 2710 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2711 | float qScale, |
| 2712 | int32_t qOffset) |
| 2713 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2714 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 2715 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 2716 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2717 | |
| 2718 | if (armnn::IsQuantizedType<T>()) |
| 2719 | { |
| 2720 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2721 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 2722 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 2723 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 2724 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2725 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 2726 | } |
| 2727 | |
| 2728 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 2729 | { |
| 2730 | 0.0f, 1.0f, 2.0f, |
| 2731 | 3.0f, 4.0f, 5.0f, |
| 2732 | 6.0f, 7.0f, 8.0f, |
| 2733 | 9.0f, 10.0f, 11.0f, |
| 2734 | 12.0f, 13.0f, 14.0f, |
| 2735 | 15.0f, 16.0f, 17.0f, |
| 2736 | })); |
| 2737 | |
| 2738 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 2739 | { |
| 2740 | 0.5f, |
| 2741 | })); |
| 2742 | |
| 2743 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 2744 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 2745 | { |
| 2746 | 0.5f, 1.5f, 2.5f, |
| 2747 | 3.5f, 4.5f, 5.5f, |
| 2748 | 6.5f, 7.5f, 8.5f, |
| 2749 | 9.5f, 10.5f, 11.5f, |
| 2750 | 12.5f, 13.5f, 14.5f, |
| 2751 | 15.5f, 16.5f, 17.5f, |
| 2752 | })); |
| 2753 | |
| 2754 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2755 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2756 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2757 | |
| 2758 | armnn::AdditionQueueDescriptor data; |
| 2759 | armnn::WorkloadInfo info; |
| 2760 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2761 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2762 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2763 | |
| 2764 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2765 | |
| 2766 | inputHandle1->Allocate(); |
| 2767 | inputHandle2->Allocate(); |
| 2768 | outputHandle->Allocate(); |
| 2769 | |
| 2770 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2771 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2772 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2773 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2774 | workload->Execute(); |
| 2775 | |
| 2776 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2777 | |
| 2778 | return ret; |
| 2779 | } |
| 2780 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2781 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 2782 | armnn::IWorkloadFactory& workloadFactory, |
| 2783 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2784 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2785 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 2786 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2787 | } |
| 2788 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2789 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 2790 | armnn::IWorkloadFactory& workloadFactory, |
| 2791 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2792 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2793 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2794 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2795 | } |
| 2796 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2797 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 2798 | armnn::IWorkloadFactory& workloadFactory, |
| 2799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2800 | { |
| 2801 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 2802 | workloadFactory, memoryManager, 2.f, 0); |
| 2803 | } |
| 2804 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2805 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 2806 | armnn::IWorkloadFactory& workloadFactory, |
| 2807 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2808 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2809 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 2810 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2811 | } |
| 2812 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2813 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 2814 | armnn::IWorkloadFactory& workloadFactory, |
| 2815 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2816 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2817 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2818 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2819 | } |
| 2820 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2821 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 2822 | armnn::IWorkloadFactory& workloadFactory, |
| 2823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2824 | { |
| 2825 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 2826 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 2827 | } |
| 2828 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2829 | LayerTestResult<float,4> CompareAdditionTest( |
| 2830 | armnn::IWorkloadFactory& workloadFactory, |
| 2831 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2832 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2833 | { |
| 2834 | unsigned int batchSize = 4; |
| 2835 | unsigned int channels = 1; |
| 2836 | unsigned int height = 2; |
| 2837 | unsigned int width = 3; |
| 2838 | |
| 2839 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 2840 | armnn::TensorInfo outputTensorInfo; |
| 2841 | |
| 2842 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 2843 | |
| 2844 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2845 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2846 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2847 | |
| 2848 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 2849 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 2850 | |
| 2851 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2852 | |
| 2853 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2854 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2855 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2856 | |
| 2857 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2858 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2859 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2860 | |
| 2861 | armnn::AdditionQueueDescriptor data; |
| 2862 | armnn::WorkloadInfo info; |
| 2863 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2864 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2865 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2866 | |
| 2867 | armnn::AdditionQueueDescriptor refData = data; |
| 2868 | armnn::WorkloadInfo refInfo = info; |
| 2869 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 2870 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 2871 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2872 | |
| 2873 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2874 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 2875 | |
| 2876 | inputHandle1->Allocate(); |
| 2877 | inputHandle2->Allocate(); |
| 2878 | outputHandle->Allocate(); |
| 2879 | inputHandle1Ref->Allocate(); |
| 2880 | inputHandle2Ref->Allocate(); |
| 2881 | outputHandleRef->Allocate(); |
| 2882 | |
| 2883 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2884 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2885 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 2886 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 2887 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2888 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2889 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2890 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2891 | workloadRef->Execute(); |
| 2892 | |
| 2893 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2894 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2895 | |
| 2896 | return ret; |
| 2897 | } |
| 2898 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2899 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2900 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2901 | LayerTestResult<T, 4> DivisionTestHelper( |
| 2902 | armnn::IWorkloadFactory& workloadFactory, |
| 2903 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2904 | const unsigned int shape0[4], |
| 2905 | const std::vector<T>& values0, |
| 2906 | float scale0, |
| 2907 | int32_t offset0, |
| 2908 | const unsigned int shape1[4], |
| 2909 | const std::vector<T> & values1, |
| 2910 | float scale1, |
| 2911 | int32_t offset1, |
| 2912 | const unsigned int outShape[4], |
| 2913 | const std::vector<T> & outValues, |
| 2914 | float outScale, |
| 2915 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2916 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2917 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 2918 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 2919 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2920 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2921 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 2922 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2923 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2924 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 2925 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2926 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2927 | outputTensorInfo.SetQuantizationScale(outScale); |
| 2928 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2929 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2930 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 2931 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2932 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2933 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 2934 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2935 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2936 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2937 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2938 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2939 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2940 | armnn::DivisionQueueDescriptor data; |
| 2941 | armnn::WorkloadInfo info; |
| 2942 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2943 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2944 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2945 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2946 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2947 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2948 | inputHandle0->Allocate(); |
| 2949 | inputHandle1->Allocate(); |
| 2950 | outputHandle->Allocate(); |
| 2951 | |
| 2952 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2953 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2954 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2955 | workload->PostAllocationConfigure(); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2956 | workload->Execute(); |
| 2957 | |
| 2958 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 2959 | |
| 2960 | return result; |
| 2961 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2962 | } // anonymous namespace |
| 2963 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2964 | LayerTestResult<float,4> DivisionByZeroTest( |
| 2965 | armnn::IWorkloadFactory& workloadFactory, |
| 2966 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2967 | { |
| 2968 | const unsigned int width = 2; |
| 2969 | const unsigned int height = 2; |
| 2970 | const unsigned int channelCount = 2; |
| 2971 | const unsigned int batchSize = 2; |
| 2972 | |
| 2973 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2974 | |
| 2975 | std::vector<float> input0({ |
| 2976 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 2977 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 2978 | |
| 2979 | std::vector<float> input1({ |
| 2980 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 2981 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 2982 | |
| 2983 | std::vector<float> output({ |
| 2984 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 2985 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 2986 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2987 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2988 | memoryManager, |
| 2989 | shape, input0, 1.0f, 0, |
| 2990 | shape, input1, 1.0f, 0, |
| 2991 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2992 | } |
| 2993 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2994 | LayerTestResult<float,4> DivisionTest( |
| 2995 | armnn::IWorkloadFactory& workloadFactory, |
| 2996 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2997 | { |
| 2998 | const unsigned int width = 2; |
| 2999 | const unsigned int height = 2; |
| 3000 | const unsigned int channelCount = 2; |
| 3001 | const unsigned int batchSize = 2; |
| 3002 | |
| 3003 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3004 | |
| 3005 | std::vector<float> input0({ |
| 3006 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 3007 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3008 | |
| 3009 | std::vector<float> input1({ |
| 3010 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 3011 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 3012 | |
| 3013 | std::vector<float> output({ |
| 3014 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 3015 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 3016 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3017 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3018 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3019 | memoryManager, |
| 3020 | shape, input0, 1.0f, 0, |
| 3021 | shape, input1, 1.0f, 0, |
| 3022 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3023 | } |
| 3024 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3025 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 3026 | armnn::IWorkloadFactory& workloadFactory, |
| 3027 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3028 | { |
| 3029 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3030 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3031 | |
| 3032 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3033 | std::vector<float> input1({ 2 }); |
| 3034 | |
| 3035 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3036 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3037 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3038 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3039 | memoryManager, |
| 3040 | shape0, input0, 1.0f, 0, |
| 3041 | shape1, input1, 1.0f, 0, |
| 3042 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3043 | } |
| 3044 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3045 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 3046 | armnn::IWorkloadFactory& workloadFactory, |
| 3047 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3048 | { |
| 3049 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3050 | std::vector<float> input0({ |
| 3051 | 1, 4, 3, 8, 5, 12, |
| 3052 | 7, 16, 9, 20, 11, 24, |
| 3053 | 13, 28, 15, 32, 17, 36}); |
| 3054 | |
| 3055 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3056 | std::vector<float> input1({ 1, 2 }); |
| 3057 | |
| 3058 | std::vector<float> output({ |
| 3059 | 1, 2, 3, 4, 5, 6, |
| 3060 | 7, 8, 9, 10, 11, 12, |
| 3061 | 13, 14, 15, 16, 17, 18}); |
| 3062 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3063 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3064 | memoryManager, |
| 3065 | shape0, input0, 1.0f, 0, |
| 3066 | shape1, input1, 1.0f, 0, |
| 3067 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3068 | } |
| 3069 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3070 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 3071 | armnn::IWorkloadFactory& workloadFactory, |
| 3072 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3073 | { |
| 3074 | const unsigned int width = 2; |
| 3075 | const unsigned int height = 2; |
| 3076 | const unsigned int channelCount = 2; |
| 3077 | const unsigned int batchSize = 2; |
| 3078 | |
| 3079 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3080 | |
| 3081 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 3082 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3083 | |
| 3084 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 3085 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 3086 | |
| 3087 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 3088 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 3089 | |
| 3090 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3091 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 3092 | memoryManager, |
| 3093 | shape, input0, 1.0f, 0, |
| 3094 | shape, input1, 1.0f, 0, |
| 3095 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3096 | } |
| 3097 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3098 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 3099 | armnn::IWorkloadFactory& workloadFactory, |
| 3100 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3101 | { |
| 3102 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3103 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3104 | |
| 3105 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3106 | std::vector<uint8_t> input1({ 2 }); |
| 3107 | |
| 3108 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3109 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3110 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 3111 | memoryManager, |
| 3112 | shape0, input0, 1.0f, 0, |
| 3113 | shape1, input1, 1.0f, 0, |
| 3114 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3115 | } |
| 3116 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3117 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 3118 | armnn::IWorkloadFactory& workloadFactory, |
| 3119 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3120 | { |
| 3121 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3122 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 3123 | 7, 16, 9, 20, 11, 24, |
| 3124 | 13, 28, 15, 32, 17, 36}); |
| 3125 | |
| 3126 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3127 | std::vector<uint8_t> input1({ 1, 2 }); |
| 3128 | |
| 3129 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 3130 | 7, 8, 9, 10, 11, 12, |
| 3131 | 13, 14, 15, 16, 17, 18}); |
| 3132 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3133 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 3134 | memoryManager, |
| 3135 | shape0, input0, 1.0f, 0, |
| 3136 | shape1, input1, 1.0f, 0, |
| 3137 | shape0, output, 1.0f, 0); |
| 3138 | } |
| 3139 | |
| 3140 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 3141 | armnn::IWorkloadFactory& workloadFactory, |
| 3142 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3143 | { |
| 3144 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3145 | |
| 3146 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 3147 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3148 | |
| 3149 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 3150 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 3151 | |
| 3152 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 3153 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 3154 | |
| 3155 | |
| 3156 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 3157 | memoryManager, |
| 3158 | shape, input0, 1.0f, 0, |
| 3159 | shape, input1, 1.0f, 0, |
| 3160 | shape, output, 0.25f, 0); |
| 3161 | } |
| 3162 | |
| 3163 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 3164 | armnn::IWorkloadFactory& workloadFactory, |
| 3165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3166 | { |
| 3167 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3168 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3169 | |
| 3170 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3171 | std::vector<int16_t> input1({ 2 }); |
| 3172 | |
| 3173 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3174 | |
| 3175 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 3176 | memoryManager, |
| 3177 | shape0, input0, 1.0f, 0, |
| 3178 | shape1, input1, 1.0f, 0, |
| 3179 | shape0, output, 1.0f, 0); |
| 3180 | } |
| 3181 | |
| 3182 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 3183 | armnn::IWorkloadFactory& workloadFactory, |
| 3184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3185 | { |
| 3186 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3187 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 3188 | 7, 16, 9, 20, 11, 24, |
| 3189 | 13, 28, 15, 32, 17, 36}); |
| 3190 | |
| 3191 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3192 | std::vector<int16_t> input1({ 1, 2 }); |
| 3193 | |
| 3194 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 3195 | 7, 8, 9, 10, 11, 12, |
| 3196 | 13, 14, 15, 16, 17, 18}); |
| 3197 | |
| 3198 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 3199 | memoryManager, |
| 3200 | shape0, input0, 1.0f, 0, |
| 3201 | shape1, input1, 1.0f, 0, |
| 3202 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3203 | } |
| 3204 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3205 | template<typename DescriptorType> |
| 3206 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 3207 | const armnn::IWorkloadFactory& workloadFactory, |
| 3208 | const armnn::WorkloadInfo& info, |
| 3209 | const DescriptorType& descriptor) |
| 3210 | { |
| 3211 | return CreateWorkload(workloadFactory, info, descriptor); |
| 3212 | }; |
| 3213 | |
| 3214 | template<> |
| 3215 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 3216 | const armnn::IWorkloadFactory& workloadFactory, |
| 3217 | const armnn::WorkloadInfo& info, |
| 3218 | const armnn::MaximumQueueDescriptor& descriptor) |
| 3219 | { |
| 3220 | return workloadFactory.CreateMaximum(descriptor, info); |
| 3221 | } |
| 3222 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3223 | template<> |
| 3224 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 3225 | const armnn::IWorkloadFactory& workloadFactory, |
| 3226 | const armnn::WorkloadInfo& info, |
| 3227 | const armnn::MinimumQueueDescriptor& descriptor) |
| 3228 | { |
| 3229 | return workloadFactory.CreateMinimum(descriptor, info); |
| 3230 | } |
| 3231 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3232 | template<> |
| 3233 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 3234 | const armnn::IWorkloadFactory& workloadFactory, |
| 3235 | const armnn::WorkloadInfo& info, |
| 3236 | const armnn::EqualQueueDescriptor& descriptor) |
| 3237 | { |
| 3238 | return workloadFactory.CreateEqual(descriptor, info); |
| 3239 | } |
| 3240 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3241 | template<> |
| 3242 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 3243 | const armnn::IWorkloadFactory& workloadFactory, |
| 3244 | const armnn::WorkloadInfo& info, |
| 3245 | const armnn::GreaterQueueDescriptor& descriptor) |
| 3246 | { |
| 3247 | return workloadFactory.CreateGreater(descriptor, info); |
| 3248 | } |
| 3249 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3250 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3251 | |
| 3252 | template <typename Descriptor, |
| 3253 | armnn::DataType ArmnnTypeInput, |
| 3254 | armnn::DataType ArmnnTypeOutput, |
| 3255 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 3256 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 3257 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 3258 | armnn::IWorkloadFactory & workloadFactory, |
| 3259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 3260 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 3261 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 3262 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 3263 | float qScale = 0.0f, int qOffset = 0) |
| 3264 | { |
| 3265 | const size_t dimensionCount = 4; |
| 3266 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 3267 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 3268 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 3269 | |
| 3270 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 3271 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 3272 | |
| 3273 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3274 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3275 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 3276 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3277 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3278 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 3279 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3280 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3281 | outputTensorInfo.SetQuantizationScale(qScale); |
| 3282 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3283 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3284 | |
| 3285 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 3286 | |
| 3287 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 3288 | { |
| 3289 | ret.compareBoolean = true; |
| 3290 | } |
| 3291 | |
| 3292 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3293 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3294 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3295 | |
| 3296 | Descriptor data; |
| 3297 | armnn::WorkloadInfo info; |
| 3298 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3299 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3300 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3301 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 3302 | |
| 3303 | inputHandle0->Allocate(); |
| 3304 | inputHandle1->Allocate(); |
| 3305 | outputHandle->Allocate(); |
| 3306 | |
| 3307 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3308 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3309 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3310 | workload->PostAllocationConfigure(); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3311 | ExecuteWorkload(*workload, memoryManager); |
| 3312 | |
| 3313 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3314 | |
| 3315 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 3316 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3317 | } |
| 3318 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3319 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 3320 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 3321 | armnn::IWorkloadFactory & workloadFactory, |
| 3322 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 3323 | const unsigned int shape0[4], std::vector<T> values0, |
| 3324 | const unsigned int shape1[4], std::vector<T> values1, |
| 3325 | const unsigned int outShape[4], std::vector<T> outValues, |
| 3326 | float qScale = 0.0f, int qOffset = 0) |
| 3327 | { |
| 3328 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 3329 | (workloadFactory, |
| 3330 | memoryManager, |
| 3331 | shape0, |
| 3332 | values0, |
| 3333 | shape1, |
| 3334 | values1, |
| 3335 | outShape, |
| 3336 | outValues, |
| 3337 | qScale, |
| 3338 | qOffset); |
| 3339 | } |
| 3340 | } |
| 3341 | |
| 3342 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 3343 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3344 | { |
| 3345 | const unsigned int width = 2; |
| 3346 | const unsigned int height = 2; |
| 3347 | const unsigned int channelCount = 2; |
| 3348 | const unsigned int batchSize = 2; |
| 3349 | |
| 3350 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3351 | |
| 3352 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3353 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3354 | |
| 3355 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 3356 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 3357 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3358 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 3359 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3360 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3361 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3362 | workloadFactory, |
| 3363 | memoryManager, |
| 3364 | shape, |
| 3365 | input0, |
| 3366 | shape, |
| 3367 | input1, |
| 3368 | shape, |
| 3369 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3370 | } |
| 3371 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3372 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3373 | armnn::IWorkloadFactory& workloadFactory, |
| 3374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3375 | { |
| 3376 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3377 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3378 | |
| 3379 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3380 | std::vector<float> input1({ 1 }); |
| 3381 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3382 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3383 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3384 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3385 | workloadFactory, |
| 3386 | memoryManager, |
| 3387 | shape0, |
| 3388 | input0, |
| 3389 | shape1, |
| 3390 | input1, |
| 3391 | shape0, |
| 3392 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3393 | } |
| 3394 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3395 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3396 | armnn::IWorkloadFactory& workloadFactory, |
| 3397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3398 | { |
| 3399 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3400 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3401 | |
| 3402 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 3403 | 7, 8, 9, 10, 11, 12 }); |
| 3404 | |
| 3405 | std::vector<float> input1({ 1, 2, 3}); |
| 3406 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3407 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 3408 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3409 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3410 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3411 | workloadFactory, |
| 3412 | memoryManager, |
| 3413 | shape0, |
| 3414 | input0, |
| 3415 | shape1, |
| 3416 | input1, |
| 3417 | shape0, |
| 3418 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3419 | } |
| 3420 | |
| 3421 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 3422 | armnn::IWorkloadFactory& workloadFactory, |
| 3423 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3424 | { |
| 3425 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3426 | |
| 3427 | // See dequantized values to the right. |
| 3428 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3429 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3430 | |
| 3431 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3432 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 3433 | |
| 3434 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 3435 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 3436 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3437 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 3438 | armnn::DataType::QuantisedAsymm8, |
| 3439 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3440 | workloadFactory, |
| 3441 | memoryManager, |
| 3442 | shape, |
| 3443 | input0, |
| 3444 | shape, |
| 3445 | input1, |
| 3446 | shape, |
| 3447 | output, |
| 3448 | 1.0f, |
| 3449 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3450 | } |
| 3451 | |
| 3452 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 3453 | armnn::IWorkloadFactory& workloadFactory, |
| 3454 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3455 | { |
| 3456 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3457 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3458 | |
| 3459 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3460 | 7, 8, 9, 10, 11, 12 }); |
| 3461 | |
| 3462 | std::vector<uint8_t> input1({ 1 }); |
| 3463 | |
| 3464 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 3465 | 0, 0, 0, 0, 0, 0 }); |
| 3466 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3467 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 3468 | armnn::DataType::QuantisedAsymm8, |
| 3469 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3470 | workloadFactory, |
| 3471 | memoryManager, |
| 3472 | shape0, |
| 3473 | input0, |
| 3474 | shape1, |
| 3475 | input1, |
| 3476 | shape0, |
| 3477 | output, |
| 3478 | 1.0f, |
| 3479 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3480 | } |
| 3481 | |
| 3482 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 3483 | armnn::IWorkloadFactory& workloadFactory, |
| 3484 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3485 | { |
| 3486 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3487 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3488 | |
| 3489 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3490 | 7, 8, 9, 10, 11, 12 }); |
| 3491 | |
| 3492 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 3493 | |
| 3494 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 3495 | 0, 0, 0, 0, 0, 0 }); |
| 3496 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3497 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 3498 | armnn::DataType::QuantisedAsymm8, |
| 3499 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3500 | workloadFactory, |
| 3501 | memoryManager, |
| 3502 | shape0, |
| 3503 | input0, |
| 3504 | shape1, |
| 3505 | input1, |
| 3506 | shape0, |
| 3507 | output, |
| 3508 | 1.0f, |
| 3509 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3510 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3511 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3512 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3513 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3514 | { |
| 3515 | const unsigned int width = 2; |
| 3516 | const unsigned int height = 2; |
| 3517 | const unsigned int channelCount = 2; |
| 3518 | const unsigned int batchSize = 2; |
| 3519 | |
| 3520 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3521 | |
| 3522 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3523 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3524 | |
| 3525 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 3526 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 3527 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3528 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 3529 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3530 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3531 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3532 | workloadFactory, |
| 3533 | memoryManager, |
| 3534 | shape, |
| 3535 | input0, |
| 3536 | shape, |
| 3537 | input1, |
| 3538 | shape, |
| 3539 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3540 | } |
| 3541 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3542 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3543 | armnn::IWorkloadFactory& workloadFactory, |
| 3544 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3545 | { |
| 3546 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3547 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3548 | |
| 3549 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3550 | std::vector<float> input1({ 1 }); |
| 3551 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3552 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3553 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3554 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3555 | workloadFactory, |
| 3556 | memoryManager, |
| 3557 | shape0, |
| 3558 | input0, |
| 3559 | shape1, |
| 3560 | input1, |
| 3561 | shape0, |
| 3562 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3563 | } |
| 3564 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3565 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3566 | armnn::IWorkloadFactory& workloadFactory, |
| 3567 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3568 | { |
| 3569 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3570 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3571 | |
| 3572 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 3573 | 7, 8, 9, 10, 11, 12 }); |
| 3574 | |
| 3575 | std::vector<float> input1({ 1, 3, 2}); |
| 3576 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3577 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 3578 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3579 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3580 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3581 | workloadFactory, |
| 3582 | memoryManager, |
| 3583 | shape0, |
| 3584 | input0, |
| 3585 | shape1, |
| 3586 | input1, |
| 3587 | shape0, |
| 3588 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3589 | } |
| 3590 | |
| 3591 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 3592 | armnn::IWorkloadFactory& workloadFactory, |
| 3593 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3594 | { |
| 3595 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3596 | |
| 3597 | // See dequantized values to the right. |
| 3598 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3599 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 3600 | |
| 3601 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3602 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 3603 | |
| 3604 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 3605 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 3606 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3607 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3608 | armnn::DataType::QuantisedAsymm8, |
| 3609 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3610 | workloadFactory, |
| 3611 | memoryManager, |
| 3612 | shape, |
| 3613 | input0, |
| 3614 | shape, |
| 3615 | input1, |
| 3616 | shape, |
| 3617 | output, |
| 3618 | 1.0f, |
| 3619 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3620 | } |
| 3621 | |
| 3622 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 3623 | armnn::IWorkloadFactory& workloadFactory, |
| 3624 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3625 | { |
| 3626 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3627 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3628 | |
| 3629 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3630 | 7, 8, 9, 10, 11, 12 }); |
| 3631 | |
| 3632 | std::vector<uint8_t> input1({ 1 }); |
| 3633 | |
| 3634 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 3635 | 1, 1, 1, 1, 1, 1 }); |
| 3636 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3637 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3638 | armnn::DataType::QuantisedAsymm8, |
| 3639 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3640 | workloadFactory, |
| 3641 | memoryManager, |
| 3642 | shape0, |
| 3643 | input0, |
| 3644 | shape1, |
| 3645 | input1, |
| 3646 | shape0, |
| 3647 | output, |
| 3648 | 1.0f, |
| 3649 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3650 | } |
| 3651 | |
| 3652 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 3653 | armnn::IWorkloadFactory& workloadFactory, |
| 3654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3655 | { |
| 3656 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3657 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3658 | |
| 3659 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3660 | 7, 8, 9, 10, 11, 12 }); |
| 3661 | |
| 3662 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 3663 | |
| 3664 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 3665 | 1, 1, 1, 1, 1, 1 }); |
| 3666 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3667 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3668 | armnn::DataType::QuantisedAsymm8, |
| 3669 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3670 | workloadFactory, |
| 3671 | memoryManager, |
| 3672 | shape0, |
| 3673 | input0, |
| 3674 | shape1, |
| 3675 | input1, |
| 3676 | shape0, |
| 3677 | output, |
| 3678 | 1.0f, |
| 3679 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3680 | } |
| 3681 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3682 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 3683 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3684 | { |
| 3685 | const unsigned int width = 2; |
| 3686 | const unsigned int height = 2; |
| 3687 | const unsigned int channelCount = 2; |
| 3688 | const unsigned int batchSize = 2; |
| 3689 | |
| 3690 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3691 | |
| 3692 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3693 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3694 | |
| 3695 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3696 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3697 | |
| 3698 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 3699 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3700 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3701 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3702 | workloadFactory, |
| 3703 | memoryManager, |
| 3704 | shape, |
| 3705 | input0, |
| 3706 | shape, |
| 3707 | input1, |
| 3708 | shape, |
| 3709 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3710 | } |
| 3711 | |
| 3712 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 3713 | armnn::IWorkloadFactory& workloadFactory, |
| 3714 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3715 | { |
| 3716 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3717 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3718 | |
| 3719 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3720 | std::vector<float> input1({ 2 }); |
| 3721 | |
| 3722 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 3723 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3724 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3725 | workloadFactory, |
| 3726 | memoryManager, |
| 3727 | shape0, |
| 3728 | input0, |
| 3729 | shape1, |
| 3730 | input1, |
| 3731 | shape0, |
| 3732 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3733 | } |
| 3734 | |
| 3735 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 3736 | armnn::IWorkloadFactory& workloadFactory, |
| 3737 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3738 | { |
| 3739 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3740 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3741 | |
| 3742 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 3743 | 7, 8, 9, 10, 11, 12 }); |
| 3744 | |
| 3745 | std::vector<float> input1({ 1, 2, 3}); |
| 3746 | |
| 3747 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3748 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3749 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3750 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3751 | workloadFactory, |
| 3752 | memoryManager, |
| 3753 | shape0, |
| 3754 | input0, |
| 3755 | shape1, |
| 3756 | input1, |
| 3757 | shape0, |
| 3758 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3759 | } |
| 3760 | |
| 3761 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 3762 | armnn::IWorkloadFactory& workloadFactory, |
| 3763 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3764 | { |
| 3765 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3766 | |
| 3767 | // See dequantized values to the right. |
| 3768 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3769 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3770 | |
| 3771 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3772 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3773 | |
| 3774 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3775 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3776 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3777 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3778 | workloadFactory, |
| 3779 | memoryManager, |
| 3780 | shape, |
| 3781 | input0, |
| 3782 | shape, |
| 3783 | input1, |
| 3784 | shape, |
| 3785 | output, |
| 3786 | 1.0f, |
| 3787 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3788 | } |
| 3789 | |
| 3790 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 3791 | armnn::IWorkloadFactory& workloadFactory, |
| 3792 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3793 | { |
| 3794 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3795 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3796 | |
| 3797 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3798 | 7, 8, 9, 10, 11, 12 }); |
| 3799 | |
| 3800 | std::vector<uint8_t> input1({2}); |
| 3801 | |
| 3802 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 3803 | 7, 8, 9, 10, 11, 12 }); |
| 3804 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3805 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3806 | workloadFactory, |
| 3807 | memoryManager, |
| 3808 | shape0, |
| 3809 | input0, |
| 3810 | shape1, |
| 3811 | input1, |
| 3812 | shape0, |
| 3813 | output, |
| 3814 | 1.0f, |
| 3815 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3816 | } |
| 3817 | |
| 3818 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 3819 | armnn::IWorkloadFactory& workloadFactory, |
| 3820 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3821 | { |
| 3822 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3823 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3824 | |
| 3825 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3826 | 7, 8, 9, 10, 11, 12 }); |
| 3827 | |
| 3828 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 3829 | |
| 3830 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 3831 | 7, 10, 9, 10, 11, 12 }); |
| 3832 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3833 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3834 | workloadFactory, |
| 3835 | memoryManager, |
| 3836 | shape0, |
| 3837 | input0, |
| 3838 | shape1, |
| 3839 | input1, |
| 3840 | shape0, |
| 3841 | output, |
| 3842 | 1.0f, |
| 3843 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3844 | } |
| 3845 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3846 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 3847 | armnn::IWorkloadFactory& workloadFactory, |
| 3848 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3849 | { |
| 3850 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3851 | |
| 3852 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3853 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3854 | |
| 3855 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3856 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3857 | |
| 3858 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3859 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3860 | |
| 3861 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3862 | workloadFactory, |
| 3863 | memoryManager, |
| 3864 | shape, |
| 3865 | input0, |
| 3866 | shape, |
| 3867 | input1, |
| 3868 | shape, |
| 3869 | output, |
| 3870 | 1.0f, |
| 3871 | 0); |
| 3872 | } |
| 3873 | |
| 3874 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 3875 | armnn::IWorkloadFactory& workloadFactory, |
| 3876 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3877 | { |
| 3878 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3879 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3880 | |
| 3881 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3882 | 7, 8, 9, 10, 11, 12 }); |
| 3883 | |
| 3884 | std::vector<int16_t> input1({2}); |
| 3885 | |
| 3886 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 3887 | 7, 8, 9, 10, 11, 12 }); |
| 3888 | |
| 3889 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3890 | workloadFactory, |
| 3891 | memoryManager, |
| 3892 | shape0, |
| 3893 | input0, |
| 3894 | shape1, |
| 3895 | input1, |
| 3896 | shape0, |
| 3897 | output, |
| 3898 | 1.0f, |
| 3899 | 0); |
| 3900 | } |
| 3901 | |
| 3902 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 3903 | armnn::IWorkloadFactory& workloadFactory, |
| 3904 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3905 | { |
| 3906 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3907 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3908 | |
| 3909 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3910 | 7, 8, 9, 10, 11, 12 }); |
| 3911 | |
| 3912 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 3913 | |
| 3914 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 3915 | 7, 10, 9, 10, 11, 12 }); |
| 3916 | |
| 3917 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3918 | workloadFactory, |
| 3919 | memoryManager, |
| 3920 | shape0, |
| 3921 | input0, |
| 3922 | shape1, |
| 3923 | input1, |
| 3924 | shape0, |
| 3925 | output, |
| 3926 | 1.0f, |
| 3927 | 0); |
| 3928 | } |
| 3929 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3930 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 3931 | armnn::IWorkloadFactory& workloadFactory, |
| 3932 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3933 | { |
| 3934 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3935 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3936 | |
| 3937 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3938 | std::vector<float> input1({ 2 }); |
| 3939 | |
| 3940 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 3941 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3942 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3943 | workloadFactory, |
| 3944 | memoryManager, |
| 3945 | shape0, |
| 3946 | input0, |
| 3947 | shape1, |
| 3948 | input1, |
| 3949 | shape0, |
| 3950 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3951 | } |
| 3952 | |
| 3953 | |
| 3954 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 3955 | armnn::IWorkloadFactory& workloadFactory, |
| 3956 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3957 | { |
| 3958 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3959 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 3960 | |
| 3961 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3962 | std::vector<float> input1({ 5 }); |
| 3963 | |
| 3964 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 3965 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3966 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3967 | workloadFactory, |
| 3968 | memoryManager, |
| 3969 | shape0, |
| 3970 | input0, |
| 3971 | shape1, |
| 3972 | input1, |
| 3973 | shape0, |
| 3974 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3975 | } |
| 3976 | |
| 3977 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 3978 | armnn::IWorkloadFactory & workloadFactory, |
| 3979 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 3980 | { |
| 3981 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3982 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3983 | |
| 3984 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 3985 | 7, 1, 2, 3, 4, 5 }); |
| 3986 | |
| 3987 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 3988 | |
| 3989 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 3990 | 1, 1, 2, 1, 2, 3 }); |
| 3991 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3992 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3993 | workloadFactory, |
| 3994 | memoryManager, |
| 3995 | shape0, |
| 3996 | input0, |
| 3997 | shape1, |
| 3998 | input1, |
| 3999 | shape0, |
| 4000 | output, |
| 4001 | 1.0f, |
| 4002 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 4003 | } |
| 4004 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 4005 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 4006 | armnn::IWorkloadFactory& workloadFactory, |
| 4007 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4008 | { |
| 4009 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 4010 | |
| 4011 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 4012 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 4013 | |
| 4014 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 4015 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 4016 | |
| 4017 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 4018 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 4019 | |
| 4020 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 4021 | workloadFactory, |
| 4022 | memoryManager, |
| 4023 | shape, |
| 4024 | input0, |
| 4025 | shape, |
| 4026 | input1, |
| 4027 | shape, |
| 4028 | output, |
| 4029 | 1.0f, |
| 4030 | 0); |
| 4031 | } |
| 4032 | |
| 4033 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 4034 | armnn::IWorkloadFactory& workloadFactory, |
| 4035 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4036 | { |
| 4037 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 4038 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 4039 | |
| 4040 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 4041 | 7, 8, 9, 10, 11, 12 }); |
| 4042 | |
| 4043 | std::vector<int16_t> input1({2}); |
| 4044 | |
| 4045 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 4046 | 2, 2, 2, 2, 2, 2 }); |
| 4047 | |
| 4048 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 4049 | workloadFactory, |
| 4050 | memoryManager, |
| 4051 | shape0, |
| 4052 | input0, |
| 4053 | shape1, |
| 4054 | input1, |
| 4055 | shape0, |
| 4056 | output, |
| 4057 | 1.0f, |
| 4058 | 0); |
| 4059 | } |
| 4060 | |
| 4061 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 4062 | armnn::IWorkloadFactory& workloadFactory, |
| 4063 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4064 | { |
| 4065 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 4066 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 4067 | |
| 4068 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 4069 | 7, 8, 9, 10, 11, 12 }); |
| 4070 | |
| 4071 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 4072 | |
| 4073 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 4074 | 1, 8, 3, 1, 10, 3 }); |
| 4075 | |
| 4076 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 4077 | workloadFactory, |
| 4078 | memoryManager, |
| 4079 | shape0, |
| 4080 | input0, |
| 4081 | shape1, |
| 4082 | input1, |
| 4083 | shape0, |
| 4084 | output, |
| 4085 | 1.0f, |
| 4086 | 0); |
| 4087 | } |
| 4088 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 4089 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4090 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 4091 | armnn::IWorkloadFactory& workloadFactory, |
| 4092 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4093 | const unsigned int shape0[4], |
| 4094 | const std::vector<float> & values0, |
| 4095 | const unsigned int shape1[4], |
| 4096 | const std::vector<float> & values1, |
| 4097 | const unsigned int outShape[4], |
| 4098 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4099 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4100 | const size_t dimensionCount = 4; |
| 4101 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 4102 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 4103 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4104 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4105 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 4106 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4107 | |
| 4108 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 4109 | |
| 4110 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 4111 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 4112 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4113 | |
| 4114 | armnn::MultiplicationQueueDescriptor data; |
| 4115 | armnn::WorkloadInfo info; |
| 4116 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 4117 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 4118 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 4119 | |
| 4120 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 4121 | |
| 4122 | inputHandle0->Allocate(); |
| 4123 | inputHandle1->Allocate(); |
| 4124 | outputHandle->Allocate(); |
| 4125 | |
| 4126 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 4127 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 4128 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4129 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4130 | workload->Execute(); |
| 4131 | |
| 4132 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 4133 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4134 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4135 | return ret; |
| 4136 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4137 | } // anonymous namespace |
| 4138 | |
| 4139 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4140 | LayerTestResult<float,4> MultiplicationTest( |
| 4141 | armnn::IWorkloadFactory& workloadFactory, |
| 4142 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4143 | { |
| 4144 | const unsigned int width = 2; |
| 4145 | const unsigned int height = 2; |
| 4146 | const unsigned int channelCount = 2; |
| 4147 | const unsigned int batchSize = 2; |
| 4148 | |
| 4149 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 4150 | |
| 4151 | std::vector<float> input0({ |
| 4152 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 4153 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 4154 | |
| 4155 | std::vector<float> input1({ |
| 4156 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 4157 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 4158 | |
| 4159 | std::vector<float> output({ |
| 4160 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 4161 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 4162 | |
| 4163 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4164 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4165 | shape, |
| 4166 | input0, |
| 4167 | shape, |
| 4168 | input1, |
| 4169 | shape, |
| 4170 | output); |
| 4171 | } |
| 4172 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4173 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 4174 | armnn::IWorkloadFactory& workloadFactory, |
| 4175 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4176 | { |
| 4177 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 4178 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 4179 | |
| 4180 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 4181 | std::vector<float> input1({ 2 }); |
| 4182 | |
| 4183 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 4184 | |
| 4185 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4186 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4187 | shape0, |
| 4188 | input0, |
| 4189 | shape1, |
| 4190 | input1, |
| 4191 | shape0, |
| 4192 | output); |
| 4193 | } |
| 4194 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4195 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 4196 | armnn::IWorkloadFactory& workloadFactory, |
| 4197 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4198 | { |
| 4199 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 4200 | std::vector<float> input0({ |
| 4201 | 1, 2, 3, 4, 5, 6, |
| 4202 | 7, 8, 9, 10, 11, 12, |
| 4203 | 13, 14, 15, 16, 17, 18}); |
| 4204 | |
| 4205 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 4206 | std::vector<float> input1({ 1, 2 }); |
| 4207 | |
| 4208 | std::vector<float> output({ |
| 4209 | 1, 4, 3, 8, 5, 12, |
| 4210 | 7, 16, 9, 20, 11, 24, |
| 4211 | 13, 28, 15, 32, 17, 36}); |
| 4212 | |
| 4213 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4214 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4215 | shape0, |
| 4216 | input0, |
| 4217 | shape1, |
| 4218 | input1, |
| 4219 | shape0, |
| 4220 | output); |
| 4221 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4222 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4223 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 4224 | armnn::IWorkloadFactory& workloadFactory, |
| 4225 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4226 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4227 | { |
| 4228 | const unsigned int width = 16; |
| 4229 | const unsigned int height = 32; |
| 4230 | const unsigned int channelCount = 2; |
| 4231 | const unsigned int batchSize = 5; |
| 4232 | |
| 4233 | armnn::TensorInfo inputTensorInfo0; |
| 4234 | armnn::TensorInfo inputTensorInfo1; |
| 4235 | armnn::TensorInfo outputTensorInfo; |
| 4236 | |
| 4237 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 4238 | |
| 4239 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4240 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4241 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4242 | |
| 4243 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 4244 | |
| 4245 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 4246 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 4247 | |
| 4248 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 4249 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 4250 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4251 | |
| 4252 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 4253 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 4254 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4255 | |
| 4256 | armnn::MultiplicationQueueDescriptor data; |
| 4257 | armnn::WorkloadInfo info; |
| 4258 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 4259 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 4260 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 4261 | |
| 4262 | armnn::MultiplicationQueueDescriptor refData = data; |
| 4263 | armnn::WorkloadInfo refInfo = info; |
| 4264 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 4265 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 4266 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 4267 | |
| 4268 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 4269 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 4270 | |
| 4271 | inputHandle0->Allocate(); |
| 4272 | inputHandle1->Allocate(); |
| 4273 | outputHandle->Allocate(); |
| 4274 | inputHandle0Ref->Allocate(); |
| 4275 | inputHandle1Ref->Allocate(); |
| 4276 | outputHandleRef->Allocate(); |
| 4277 | |
| 4278 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 4279 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 4280 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 4281 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 4282 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4283 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4284 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4285 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4286 | workloadRef->Execute(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4287 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 4288 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 4289 | |
| 4290 | return comparisonResult; |
| 4291 | } |
| 4292 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4293 | LayerTestResult<float,4> CompareBatchNormTest( |
| 4294 | armnn::IWorkloadFactory& workloadFactory, |
| 4295 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4296 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4297 | { |
| 4298 | const unsigned int width = 2; |
| 4299 | const unsigned int height = 3; |
| 4300 | const unsigned int channels = 5; |
| 4301 | const unsigned int batchSize = 3; |
| 4302 | |
| 4303 | armnn::TensorInfo inputTensorInfo; |
| 4304 | armnn::TensorInfo outputTensorInfo; |
| 4305 | armnn::TensorInfo tensorInfo; |
| 4306 | |
| 4307 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 4308 | constexpr unsigned int tensorShape[] = {channels}; |
| 4309 | |
| 4310 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4311 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4312 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 4313 | |
| 4314 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 4315 | |
| 4316 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 4317 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 4318 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 4319 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 4320 | |
| 4321 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 4322 | |
| 4323 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4324 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4325 | |
| 4326 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4327 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4328 | |
| 4329 | armnn::BatchNormalizationQueueDescriptor data; |
| 4330 | armnn::WorkloadInfo info; |
| 4331 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 4332 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 4333 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 4334 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 4335 | |
| 4336 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 4337 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 4338 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 4339 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 4340 | |
| 4341 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 4342 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 4343 | data.m_Mean = &meanTensor; |
| 4344 | data.m_Variance = &varianceTensor; |
| 4345 | data.m_Beta = &betaTensor; |
| 4346 | data.m_Gamma = &gammaTensor; |
| 4347 | data.m_Parameters.m_Eps = 0.01f; |
| 4348 | |
| 4349 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 4350 | armnn::WorkloadInfo refInfo = info; |
| 4351 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 4352 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 4353 | |
| 4354 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 4355 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 4356 | |
| 4357 | inputHandle->Allocate(); |
| 4358 | outputHandle->Allocate(); |
| 4359 | inputHandleRef->Allocate(); |
| 4360 | outputHandleRef->Allocate(); |
| 4361 | |
| 4362 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 4363 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 4364 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4365 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4366 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4367 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4368 | workloadRef->Execute(); |
| 4369 | |
| 4370 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 4371 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 4372 | |
| 4373 | return ret; |
| 4374 | } |
| 4375 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4376 | template<typename T> |
| 4377 | void PermuteTensorData( |
| 4378 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4379 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4380 | const armnn::PermutationVector& mappings, |
| 4381 | armnn::TensorInfo & inputTensorInfo, |
| 4382 | const T * inputData, |
| 4383 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4384 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4385 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 4386 | if (inputData == nullptr) |
| 4387 | { |
| 4388 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 4389 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4390 | // an assert for Debug builds. |
| 4391 | return; |
| 4392 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4393 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4394 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 4395 | |
| 4396 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4397 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4398 | |
| 4399 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 4400 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 4401 | armnn::WorkloadInfo workloadInfo; |
| 4402 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 4403 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 4404 | |
| 4405 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 4406 | |
| 4407 | inputHandle->Allocate(); |
| 4408 | outputHandle->Allocate(); |
| 4409 | |
| 4410 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 4411 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4412 | workload->PostAllocationConfigure(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4413 | workload->Execute(); |
| 4414 | |
| 4415 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 4416 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 4417 | inputTensorInfo = outputTensorInfo; |
| 4418 | } |
| 4419 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4420 | armnn::OriginsDescriptor CreateDescriptorForConcatenation( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4421 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 4422 | unsigned int concatDim) |
| 4423 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4424 | std::vector<armnn::TensorShape> shapes; |
| 4425 | shapes.reserve(inputTensorInfos.size()); |
| 4426 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 4427 | { |
| 4428 | shapes.push_back(it.GetShape()); |
| 4429 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4430 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4431 | return armnn::CreateDescriptorForConcatenation(shapes.begin(), |
| 4432 | shapes.end(), |
| 4433 | concatDim); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4434 | } |
| 4435 | |
| 4436 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4437 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 4438 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 4439 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4440 | // |
| 4441 | |
| 4442 | bool NeedPermuteForConcat( |
| 4443 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 4444 | unsigned int concatDim) |
| 4445 | { |
| 4446 | // See note above. Additionally we expect the input shapes to have the |
| 4447 | // same number of dimensions. |
| 4448 | unsigned int nDimensions = 0; |
| 4449 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4450 | // Determine the number of dimensions as well as sanity check them |
| 4451 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4452 | for (auto && tensorInfo : inputTensorInfos) |
| 4453 | { |
| 4454 | if (!nDimensions) |
| 4455 | { |
| 4456 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 4457 | } |
| 4458 | else |
| 4459 | { |
| 4460 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 4461 | "Input shapes must have the same number of dimensions"); |
| 4462 | } |
| 4463 | } |
| 4464 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4465 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4466 | } |
| 4467 | |
| 4468 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 4469 | { |
| 4470 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 4471 | if (numDims >= 3) |
| 4472 | { |
| 4473 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 4474 | return inputShape; |
| 4475 | } |
| 4476 | |
| 4477 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 4478 | unsigned int expandedBy = 3 - numDims; |
| 4479 | for (unsigned int i=0; i<numDims; ++i) |
| 4480 | { |
| 4481 | newDims[expandedBy+i] = inputShape[i]; |
| 4482 | } |
| 4483 | return armnn::TensorShape(3u, &newDims[0]); |
| 4484 | } |
| 4485 | |
| 4486 | void Generate3dPermuteVectorForConcat( |
| 4487 | unsigned int numDimensions, |
| 4488 | unsigned int & concatDim, |
| 4489 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 4490 | { |
| 4491 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 4492 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4493 | unsigned int expandedBy = 3 - numDimensions; |
| 4494 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 4495 | |
| 4496 | if (expandedConcatAxis == 2) |
| 4497 | { |
| 4498 | concatDim = 0; |
| 4499 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 4500 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 4501 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 4502 | } |
| 4503 | else if (expandedConcatAxis == 1) |
| 4504 | { |
| 4505 | concatDim = 0; |
| 4506 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 4507 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 4508 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 4509 | } |
| 4510 | else |
| 4511 | { |
| 4512 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 4513 | concatDim = 0; |
| 4514 | } |
| 4515 | } |
| 4516 | |
| 4517 | // |
| 4518 | // Permute the input tensors so we can do a supported concatenation. |
| 4519 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 4520 | // at the front. Finally this function tells what the output shape |
| 4521 | // of the permuted concatenated tensor is going to be. |
| 4522 | // |
| 4523 | template <typename T> |
| 4524 | void PermuteInputsForConcat( |
| 4525 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4526 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4527 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 4528 | std::vector<T *> & inputData, |
| 4529 | std::vector<std::vector<T>> & inputDataStorage, |
| 4530 | armnn::PermutationVector & permuteVector, |
| 4531 | unsigned int & concatDim, |
| 4532 | armnn::TensorInfo & outputTensorInfo) |
| 4533 | { |
| 4534 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 4535 | "Expecting more than one tensor to be concatenated here"); |
| 4536 | |
| 4537 | unsigned int numDims = 0; |
| 4538 | unsigned int nthInput = 0; |
| 4539 | const armnn::PermutationVector identity({0, 1, 2}); |
| 4540 | |
| 4541 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 4542 | std::make_pair(identity, identity); |
| 4543 | |
| 4544 | inputDataStorage.resize(inputData.size()); |
| 4545 | |
| 4546 | for (auto && tensorInfo : inputTensorInfos) |
| 4547 | { |
| 4548 | if (numDims == 0) |
| 4549 | { |
| 4550 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 4551 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4552 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4553 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4554 | permuteVector = permutations.second; |
| 4555 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 4556 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 4557 | } |
| 4558 | else |
| 4559 | { |
| 4560 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 4561 | "All inputs must have the same number of dimensions"); |
| 4562 | } |
| 4563 | |
| 4564 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 4565 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 4566 | |
| 4567 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4568 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4569 | permutations.first, |
| 4570 | newTensorInfo, |
| 4571 | inputData[nthInput], |
| 4572 | inputDataStorage[nthInput]); |
| 4573 | |
| 4574 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 4575 | inputTensorInfos[nthInput] = newTensorInfo; |
| 4576 | |
| 4577 | ++nthInput; |
| 4578 | } |
| 4579 | |
| 4580 | outputTensorInfo.SetShape( |
| 4581 | armnnUtils::Permuted( |
| 4582 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 4583 | permutations.first)); |
| 4584 | } |
| 4585 | |
| 4586 | |
| 4587 | // |
| 4588 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4589 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4590 | // output. |
| 4591 | // |
| 4592 | template <typename T> |
| 4593 | void PermuteOutputForConcat( |
| 4594 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4595 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4596 | const armnn::TensorInfo & tensorInfo, |
| 4597 | const armnn::PermutationVector & permuteVector, |
| 4598 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 4599 | T * data) |
| 4600 | { |
| 4601 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 4602 | if (data == nullptr) |
| 4603 | { |
| 4604 | // Nullptr is an error in the test. By returning without doing the permutation |
| 4605 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4606 | // an assert for Debug builds. |
| 4607 | return; |
| 4608 | } |
| 4609 | |
| 4610 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 4611 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 4612 | std::vector<T> outputData; |
| 4613 | |
| 4614 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 4615 | |
| 4616 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4617 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4618 | permuteVector, |
| 4619 | resultTensorInfo, |
| 4620 | &inputData[0], |
| 4621 | outputData); |
| 4622 | |
| 4623 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 4624 | } |
| 4625 | |
| 4626 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4627 | void Concatenate( |
| 4628 | armnn::IWorkloadFactory& workloadFactory, |
| 4629 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4630 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 4631 | std::initializer_list<T *> inputsOrig, |
| 4632 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 4633 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4634 | unsigned int concatDim, |
| 4635 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4636 | { |
| 4637 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 4638 | if (output == nullptr) |
| 4639 | { |
| 4640 | // Nullptr is an error in the test. By returning without doing the permutation |
| 4641 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4642 | // an assert for Debug builds. |
| 4643 | return; |
| 4644 | } |
| 4645 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4646 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4647 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 4648 | std::vector<T *> inputs = inputsOrig; |
| 4649 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 4650 | |
| 4651 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 4652 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4653 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4654 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 4655 | |
| 4656 | const size_t inputCount = inputTensorInfos.size(); |
| 4657 | |
| 4658 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 4659 | |
| 4660 | if (needPermuteForConcat) |
| 4661 | { |
| 4662 | // |
| 4663 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4664 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4665 | // |
| 4666 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4667 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4668 | inputTensorInfos, |
| 4669 | inputs, |
| 4670 | tmpInputDataStorage, |
| 4671 | permuteVector, |
| 4672 | concatDim, |
| 4673 | outputTensorInfo); |
| 4674 | } |
| 4675 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4676 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4677 | |
| 4678 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 4679 | inputHandles.reserve(inputCount); |
| 4680 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4681 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4682 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 4683 | armnn::ConcatQueueDescriptor queueDescriptor; |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4684 | armnn::OriginsDescriptor viewsDescriptor = CreateDescriptorForConcatenation(inputTensorInfos, concatDim); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4685 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 4686 | |
| 4687 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4688 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4689 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 4690 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 4691 | { |
| 4692 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 4693 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 4694 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4695 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4696 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4697 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4698 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 4699 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4700 | { |
| 4701 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 4702 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 4703 | subTensorsSupported ? |
| 4704 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 4705 | inputTensorInfo.GetShape(), |
| 4706 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 4707 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4708 | |
| 4709 | inputHandles.emplace_back(std::move(inputHandle)); |
| 4710 | } |
| 4711 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4712 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4713 | else |
| 4714 | { |
| 4715 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4716 | { |
| 4717 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 4718 | inputHandles.emplace_back(std::move(inputHandle)); |
| 4719 | } |
| 4720 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4721 | |
| 4722 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4723 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4724 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4725 | } |
| 4726 | |
| 4727 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 4728 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 4729 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(queueDescriptor, workloadInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4730 | |
| 4731 | for (auto& inputHandle : inputHandles) |
| 4732 | { |
| 4733 | inputHandle->Allocate(); |
| 4734 | } |
| 4735 | |
| 4736 | outputHandle->Allocate(); |
| 4737 | |
| 4738 | unsigned int nextInputId = 0; |
| 4739 | for (auto& inputHandle : inputHandles) |
| 4740 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4741 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 4742 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4743 | } |
| 4744 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4745 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4746 | workload->Execute(); |
| 4747 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4748 | if (needPermuteForConcat) |
| 4749 | { |
| 4750 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4751 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4752 | outputTensorInfo, |
| 4753 | permuteVector, |
| 4754 | std::move(outputHandle), |
| 4755 | output); |
| 4756 | } |
| 4757 | else |
| 4758 | { |
| 4759 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 4760 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4761 | } |
| 4762 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4763 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4764 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 4765 | armnn::IWorkloadFactory& workloadFactory, |
| 4766 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4767 | float qScale, |
| 4768 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4769 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4770 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4771 | |
| 4772 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 4773 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 4774 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 4775 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4776 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4777 | |
| 4778 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 4779 | |
| 4780 | std::vector<T> output; |
| 4781 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4782 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4783 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4784 | { input0.data(), input1.data(), input2.data() }, |
| 4785 | outputTensorInfo, |
| 4786 | output.data(), |
| 4787 | 0, |
| 4788 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4789 | |
| 4790 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 4791 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4792 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 4793 | })); |
| 4794 | |
| 4795 | return result; |
| 4796 | } |
| 4797 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4798 | LayerTestResult<float, 1> Concatenation1dTest( |
| 4799 | armnn::IWorkloadFactory& workloadFactory, |
| 4800 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4801 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4802 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4803 | } |
| 4804 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4805 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4806 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 4807 | armnn::IWorkloadFactory& workloadFactory, |
| 4808 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4809 | const armnn::TensorInfo& outputTensorInfo, |
| 4810 | unsigned int dimension, |
| 4811 | const float qScale, |
| 4812 | const int32_t qOffset) |
| 4813 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4814 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4815 | |
| 4816 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4817 | // Batch 0 |
| 4818 | 1.0f, 2.0f, 3.0f, |
| 4819 | |
| 4820 | // Batch 1 |
| 4821 | 10.0f, 11.0f, 12.0f, |
| 4822 | })); |
| 4823 | |
| 4824 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4825 | // Batch 0 |
| 4826 | 4.0f, 5.0f, 6.0f, |
| 4827 | |
| 4828 | // Batch 1 |
| 4829 | 13.0f, 14.0f, 15.0f, |
| 4830 | })); |
| 4831 | |
| 4832 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4833 | // Batch 0 |
| 4834 | 7.0f, 8.0f, 9.0f, |
| 4835 | |
| 4836 | // Batch 1 |
| 4837 | 16.0f, 17.0f, 18.0f, |
| 4838 | })); |
| 4839 | |
| 4840 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4841 | |
| 4842 | std::vector<T> output; |
| 4843 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4844 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4845 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4846 | { input0.data(), input1.data(), input2.data() }, |
| 4847 | outputTensorInfo, |
| 4848 | output.data(), |
| 4849 | dimension, |
| 4850 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4851 | |
| 4852 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4853 | return result; |
| 4854 | } |
| 4855 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4856 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4857 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 4858 | armnn::IWorkloadFactory& workloadFactory, |
| 4859 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4860 | float qScale, |
| 4861 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4862 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4863 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4864 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4865 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4866 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 4867 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4868 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4869 | // Batch 0 |
| 4870 | 1.0f, 2.0f, 3.0f, |
| 4871 | |
| 4872 | // Batch 1 |
| 4873 | 10.0f, 11.0f, 12.0f, |
| 4874 | |
| 4875 | // Batch 2 |
| 4876 | 4.0f, 5.0f, 6.0f, |
| 4877 | |
| 4878 | // Batch 3 |
| 4879 | 13.0f, 14.0f, 15.0f, |
| 4880 | |
| 4881 | // Batch 4 |
| 4882 | 7.0f, 8.0f, 9.0f, |
| 4883 | |
| 4884 | // Batch 5 |
| 4885 | 16.0f, 17.0f, 18.0f, |
| 4886 | })); |
| 4887 | |
| 4888 | return result; |
| 4889 | } |
| 4890 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4891 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 4892 | armnn::IWorkloadFactory& workloadFactory, |
| 4893 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4894 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4895 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4896 | } |
| 4897 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4898 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4899 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 4900 | armnn::IWorkloadFactory& workloadFactory, |
| 4901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4902 | float qScale, |
| 4903 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4904 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4905 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4906 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4907 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4908 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 4909 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4910 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4911 | // Batch 0 |
| 4912 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 4913 | |
| 4914 | // Batch 1 |
| 4915 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 4916 | })); |
| 4917 | |
| 4918 | return result; |
| 4919 | } |
| 4920 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4921 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 4922 | armnn::IWorkloadFactory& workloadFactory, |
| 4923 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4924 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4925 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4926 | } |
| 4927 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4928 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4929 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 4930 | armnn::IWorkloadFactory& workloadFactory, |
| 4931 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4932 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4933 | int32_t qOffset) |
| 4934 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4935 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4936 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4937 | // Batch 0 |
| 4938 | 1.0f, 2.0f, 3.0f, |
| 4939 | |
| 4940 | // Batch 1 |
| 4941 | 10.0f, 11.0f, 12.0f, |
| 4942 | })); |
| 4943 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4944 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4945 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4946 | // Batch 0 |
| 4947 | 4.0f, 5.0f, 6.0f, |
| 4948 | |
| 4949 | // Batch 1 |
| 4950 | 13.0f, 14.0f, 15.0f, |
| 4951 | |
| 4952 | // Batch 0 |
| 4953 | 7.0f, 8.0f, 9.0f, |
| 4954 | })); |
| 4955 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4956 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4957 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4958 | // Batch 1 |
| 4959 | 16.0f, 17.0f, 18.0f, |
| 4960 | })); |
| 4961 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4962 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4963 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4964 | |
| 4965 | std::vector<T> output; |
| 4966 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4967 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4968 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4969 | { input0.data(), input1.data(), input2.data() }, |
| 4970 | outputTensorInfo, |
| 4971 | output.data(), |
| 4972 | 0, |
| 4973 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4974 | |
| 4975 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4976 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4977 | // Batch 0 |
| 4978 | 1.0f, 2.0f, 3.0f, |
| 4979 | |
| 4980 | // Batch 1 |
| 4981 | 10.0f, 11.0f, 12.0f, |
| 4982 | |
| 4983 | // Batch 2 |
| 4984 | 4.0f, 5.0f, 6.0f, |
| 4985 | |
| 4986 | // Batch 3 |
| 4987 | 13.0f, 14.0f, 15.0f, |
| 4988 | |
| 4989 | // Batch 4 |
| 4990 | 7.0f, 8.0f, 9.0f, |
| 4991 | |
| 4992 | // Batch 5 |
| 4993 | 16.0f, 17.0f, 18.0f, |
| 4994 | })); |
| 4995 | |
| 4996 | return result; |
| 4997 | } |
| 4998 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4999 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 5000 | armnn::IWorkloadFactory& workloadFactory, |
| 5001 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5002 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5003 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5004 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5005 | } |
| 5006 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5007 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5008 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 5009 | armnn::IWorkloadFactory& workloadFactory, |
| 5010 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5011 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5012 | int32_t qOffset) |
| 5013 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5014 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5015 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5016 | // Batch 0 |
| 5017 | 1.0f, 2.0f, 3.0f, |
| 5018 | |
| 5019 | // Batch 1 |
| 5020 | 10.0f, 11.0f, 12.0f, |
| 5021 | })); |
| 5022 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5023 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5024 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5025 | // Batch 0 |
| 5026 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 5027 | |
| 5028 | // Batch 1 |
| 5029 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 5030 | })); |
| 5031 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5032 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5033 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5034 | // Batch 0 |
| 5035 | 9.0f, |
| 5036 | |
| 5037 | // Batch 1 |
| 5038 | 18.0f |
| 5039 | })); |
| 5040 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5041 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5042 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5043 | |
| 5044 | std::vector<T> output; |
| 5045 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5046 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5047 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5048 | { input0.data(), input1.data(), input2.data() }, |
| 5049 | outputTensorInfo, |
| 5050 | output.data(), |
| 5051 | 1, |
| 5052 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5053 | |
| 5054 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 5055 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5056 | // Batch 0 |
| 5057 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 5058 | |
| 5059 | // Batch 1 |
| 5060 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 5061 | })); |
| 5062 | |
| 5063 | return result; |
| 5064 | } |
| 5065 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5066 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 5067 | armnn::IWorkloadFactory& workloadFactory, |
| 5068 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5069 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5070 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5071 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5072 | } |
| 5073 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5074 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5075 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 5076 | armnn::IWorkloadFactory& workloadFactory, |
| 5077 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5078 | const armnn::TensorInfo& outputTensorInfo, |
| 5079 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5080 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5081 | float qScale, |
| 5082 | int32_t qOffset) |
| 5083 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5084 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5085 | |
| 5086 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5087 | // Batch 0, Channel 0 |
| 5088 | 1.0f, 2.0f, |
| 5089 | |
| 5090 | // Batch 0, Channel 1 |
| 5091 | 3.0f, 4.0f, |
| 5092 | |
| 5093 | // Batch 0, Channel 2 |
| 5094 | 5.0f, 6.0f, |
| 5095 | |
| 5096 | // Batch 1, Channel 0 |
| 5097 | 19.0f, 20.0f, |
| 5098 | |
| 5099 | // Batch 1, Channel 1 |
| 5100 | 21.0f, 22.0f, |
| 5101 | |
| 5102 | // Batch 1, Channel 2 |
| 5103 | 23.0f, 24.0f |
| 5104 | })); |
| 5105 | |
| 5106 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5107 | // Batch 0, Channel 0 |
| 5108 | 7.0f, 8.0f, |
| 5109 | |
| 5110 | // Batch 0, Channel 1 |
| 5111 | 9.0f, 10.0f, |
| 5112 | |
| 5113 | // Batch 0, Channel 2 |
| 5114 | 11.0f, 12.0f, |
| 5115 | |
| 5116 | // Batch 1, Channel 0 |
| 5117 | 25.0f, 26.0f, |
| 5118 | |
| 5119 | // Batch 1, Channel 1 |
| 5120 | 27.0f, 28.0f, |
| 5121 | |
| 5122 | // Batch 1, Channel 2 |
| 5123 | 29.0f, 30.0f |
| 5124 | })); |
| 5125 | |
| 5126 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5127 | // Batch 0, Channel 0 |
| 5128 | 13.0f, 14.0f, |
| 5129 | |
| 5130 | // Batch 0, Channel 1 |
| 5131 | 15.0f, 16.0f, |
| 5132 | |
| 5133 | // Batch 0, Channel 2 |
| 5134 | 17.0f, 18.0f, |
| 5135 | |
| 5136 | // Batch 1, Channel 0 |
| 5137 | 31.0f, 32.0f, |
| 5138 | |
| 5139 | // Batch 1, Channel 1 |
| 5140 | 33.0f, 34.0f, |
| 5141 | |
| 5142 | // Batch 1, Channel 2 |
| 5143 | 35.0f, 36.0f |
| 5144 | })); |
| 5145 | |
| 5146 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5147 | |
| 5148 | std::vector<T> output; |
| 5149 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5150 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5151 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 5152 | { input0.data(), input1.data(), input2.data() }, |
| 5153 | outputTensorInfo, |
| 5154 | output.data(), |
| 5155 | dimension, |
| 5156 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5157 | |
| 5158 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5159 | return result; |
| 5160 | } |
| 5161 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5162 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5163 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 5164 | armnn::IWorkloadFactory& workloadFactory, |
| 5165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5166 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5167 | int32_t qOffset) |
| 5168 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5169 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5170 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5171 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 5172 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 5173 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5174 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5175 | // Batch 0, Channel 0 |
| 5176 | 1.0f, 2.0f, |
| 5177 | |
| 5178 | // Batch 0, Channel 1 |
| 5179 | 3.0f, 4.0f, |
| 5180 | |
| 5181 | // Batch 0, Channel 2 |
| 5182 | 5.0f, 6.0f, |
| 5183 | |
| 5184 | // Batch 1, Channel 0 |
| 5185 | 19.0f, 20.0f, |
| 5186 | |
| 5187 | // Batch 1, Channel 1 |
| 5188 | 21.0f, 22.0f, |
| 5189 | |
| 5190 | // Batch 1, Channel 2 |
| 5191 | 23.0f, 24.0f, |
| 5192 | |
| 5193 | // Batch 2, Channel 0 |
| 5194 | 7.0f, 8.0f, |
| 5195 | |
| 5196 | // Batch 2, Channel 1 |
| 5197 | 9.0f, 10.0f, |
| 5198 | |
| 5199 | // Batch 2, Channel 2 |
| 5200 | 11.0f, 12.0f, |
| 5201 | |
| 5202 | // Batch 3, Channel 0 |
| 5203 | 25.0f, 26.0f, |
| 5204 | |
| 5205 | // Batch 3, Channel 1 |
| 5206 | 27.0f, 28.0f, |
| 5207 | |
| 5208 | // Batch 3, Channel 2 |
| 5209 | 29.0f, 30.0f, |
| 5210 | |
| 5211 | // Batch 4, Channel 0 |
| 5212 | 13.0f, 14.0f, |
| 5213 | |
| 5214 | // Batch 4, Channel 1 |
| 5215 | 15.0f, 16.0f, |
| 5216 | |
| 5217 | // Batch 4, Channel 2 |
| 5218 | 17.0f, 18.0f, |
| 5219 | |
| 5220 | // Batch 5, Channel 0 |
| 5221 | 31.0f, 32.0f, |
| 5222 | |
| 5223 | // Batch 5, Channel 1 |
| 5224 | 33.0f, 34.0f, |
| 5225 | |
| 5226 | // Batch 5, Channel 2 |
| 5227 | 35.0f, 36.0f |
| 5228 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5229 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5230 | return result; |
| 5231 | } |
| 5232 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5233 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 5234 | armnn::IWorkloadFactory& workloadFactory, |
| 5235 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5236 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5237 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5238 | } |
| 5239 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5240 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5241 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 5242 | armnn::IWorkloadFactory& workloadFactory, |
| 5243 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5244 | float qScale, |
| 5245 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5246 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5247 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5248 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5249 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 5250 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5251 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5252 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5253 | // Batch 0, Channel 0 |
| 5254 | 1.0f, 2.0f, |
| 5255 | |
| 5256 | // Batch 0, Channel 1 |
| 5257 | 3.0f, 4.0f, |
| 5258 | |
| 5259 | // Batch 0, Channel 2 |
| 5260 | 5.0f, 6.0f, |
| 5261 | |
| 5262 | // Batch 0, Channel 3 |
| 5263 | 7.0f, 8.0f, |
| 5264 | |
| 5265 | // Batch 0, Channel 4 |
| 5266 | 9.0f, 10.0f, |
| 5267 | |
| 5268 | // Batch 0, Channel 5 |
| 5269 | 11.0f, 12.0f, |
| 5270 | |
| 5271 | // Batch 0, Channel 6 |
| 5272 | 13.0f, 14.0f, |
| 5273 | |
| 5274 | // Batch 0, Channel 7 |
| 5275 | 15.0f, 16.0f, |
| 5276 | |
| 5277 | // Batch 0, Channel 8 |
| 5278 | 17.0f, 18.0f, |
| 5279 | |
| 5280 | // Batch 1, Channel 0 |
| 5281 | 19.0f, 20.0f, |
| 5282 | |
| 5283 | // Batch 1, Channel 1 |
| 5284 | 21.0f, 22.0f, |
| 5285 | |
| 5286 | // Batch 1, Channel 2 |
| 5287 | 23.0f, 24.0f, |
| 5288 | |
| 5289 | // Batch 1, Channel 3 |
| 5290 | 25.0f, 26.0f, |
| 5291 | |
| 5292 | // Batch 1, Channel 4 |
| 5293 | 27.0f, 28.0f, |
| 5294 | |
| 5295 | // Batch 1, Channel 5 |
| 5296 | 29.0f, 30.0f, |
| 5297 | |
| 5298 | // Batch 1, Channel 6 |
| 5299 | 31.0f, 32.0f, |
| 5300 | |
| 5301 | // Batch 1, Channel 7 |
| 5302 | 33.0f, 34.0f, |
| 5303 | |
| 5304 | // Batch 1, Channel 8 |
| 5305 | 35.0f, 36.0f |
| 5306 | })); |
| 5307 | |
| 5308 | return result; |
| 5309 | } |
| 5310 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5311 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 5312 | armnn::IWorkloadFactory& workloadFactory, |
| 5313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5314 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5315 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5316 | } |
| 5317 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5318 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5319 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 5320 | armnn::IWorkloadFactory& workloadFactory, |
| 5321 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5322 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5323 | float qScale, |
| 5324 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5325 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5326 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5327 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5328 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 5329 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5330 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5331 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5332 | // Batch 0, Channel 0 |
| 5333 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 5334 | |
| 5335 | // Batch 0, Channel 1 |
| 5336 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 5337 | |
| 5338 | // Batch 0, Channel 2 |
| 5339 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 5340 | |
| 5341 | // Batch 1, Channel 0 |
| 5342 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 5343 | |
| 5344 | // Batch 1, Channel 1 |
| 5345 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 5346 | |
| 5347 | // Batch 1, Channel 2 |
| 5348 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 5349 | })); |
| 5350 | |
| 5351 | return result; |
| 5352 | } |
| 5353 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5354 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 5355 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5356 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5357 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5358 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5359 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 5360 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5361 | } |
| 5362 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5363 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5364 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 5365 | armnn::IWorkloadFactory& workloadFactory, |
| 5366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5367 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5368 | int32_t qOffset) |
| 5369 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5370 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5371 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5372 | // Batch 0, Channel 0 |
| 5373 | 1.0f, 2.0f, |
| 5374 | |
| 5375 | // Batch 0, Channel 1 |
| 5376 | 3.0f, 4.0f, |
| 5377 | |
| 5378 | // Batch 0, Channel 2 |
| 5379 | 5.0f, 6.0f, |
| 5380 | |
| 5381 | // Batch 1, Channel 0 |
| 5382 | 19.0f, 20.0f, |
| 5383 | |
| 5384 | // Batch 1, Channel 1 |
| 5385 | 21.0f, 22.0f, |
| 5386 | |
| 5387 | // Batch 1, Channel 2 |
| 5388 | 23.0f, 24.0f |
| 5389 | })); |
| 5390 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5391 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5392 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5393 | // Batch 0, Channel 0 |
| 5394 | 7.0f, 8.0f, |
| 5395 | |
| 5396 | // Batch 0, Channel 1 |
| 5397 | 9.0f, 10.0f, |
| 5398 | |
| 5399 | // Batch 0, Channel 2 |
| 5400 | 11.0f, 12.0f, |
| 5401 | })); |
| 5402 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5403 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5404 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5405 | // Batch 0, Channel 0 |
| 5406 | 25.0f, 26.0f, |
| 5407 | |
| 5408 | // Batch 0, Channel 1 |
| 5409 | 27.0f, 28.0f, |
| 5410 | |
| 5411 | // Batch 0, Channel 2 |
| 5412 | 29.0f, 30.0f, |
| 5413 | |
| 5414 | // Batch 1, Channel 0 |
| 5415 | 13.0f, 14.0f, |
| 5416 | |
| 5417 | // Batch 1, Channel 1 |
| 5418 | 15.0f, 16.0f, |
| 5419 | |
| 5420 | // Batch 1, Channel 2 |
| 5421 | 17.0f, 18.0f, |
| 5422 | |
| 5423 | // Batch 2, Channel 0 |
| 5424 | 31.0f, 32.0f, |
| 5425 | |
| 5426 | // Batch 2, Channel 1 |
| 5427 | 33.0f, 34.0f, |
| 5428 | |
| 5429 | // Batch 2, Channel 2 |
| 5430 | 35.0f, 36.0f |
| 5431 | })); |
| 5432 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5433 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5434 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5435 | |
| 5436 | std::vector<T> output; |
| 5437 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5438 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5439 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5440 | { input0.data(), input1.data(), input2.data() }, |
| 5441 | outputTensorInfo, |
| 5442 | output.data(), |
| 5443 | 0, |
| 5444 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5445 | |
| 5446 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5447 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5448 | // Batch 0, Channel 0 |
| 5449 | 1.0f, 2.0f, |
| 5450 | |
| 5451 | // Batch 0, Channel 1 |
| 5452 | 3.0f, 4.0f, |
| 5453 | |
| 5454 | // Batch 0, Channel 2 |
| 5455 | 5.0f, 6.0f, |
| 5456 | |
| 5457 | // Batch 1, Channel 0 |
| 5458 | 19.0f, 20.0f, |
| 5459 | |
| 5460 | // Batch 1, Channel 1 |
| 5461 | 21.0f, 22.0f, |
| 5462 | |
| 5463 | // Batch 1, Channel 2 |
| 5464 | 23.0f, 24.0f, |
| 5465 | |
| 5466 | // Batch 2, Channel 0 |
| 5467 | 7.0f, 8.0f, |
| 5468 | |
| 5469 | // Batch 2, Channel 1 |
| 5470 | 9.0f, 10.0f, |
| 5471 | |
| 5472 | // Batch 2, Channel 2 |
| 5473 | 11.0f, 12.0f, |
| 5474 | |
| 5475 | // Batch 3, Channel 0 |
| 5476 | 25.0f, 26.0f, |
| 5477 | |
| 5478 | // Batch 3, Channel 1 |
| 5479 | 27.0f, 28.0f, |
| 5480 | |
| 5481 | // Batch 3, Channel 2 |
| 5482 | 29.0f, 30.0f, |
| 5483 | |
| 5484 | // Batch 4, Channel 0 |
| 5485 | 13.0f, 14.0f, |
| 5486 | |
| 5487 | // Batch 4, Channel 1 |
| 5488 | 15.0f, 16.0f, |
| 5489 | |
| 5490 | // Batch 4, Channel 2 |
| 5491 | 17.0f, 18.0f, |
| 5492 | |
| 5493 | // Batch 5, Channel 0 |
| 5494 | 31.0f, 32.0f, |
| 5495 | |
| 5496 | // Batch 5, Channel 1 |
| 5497 | 33.0f, 34.0f, |
| 5498 | |
| 5499 | // Batch 5, Channel 2 |
| 5500 | 35.0f, 36.0f |
| 5501 | })); |
| 5502 | |
| 5503 | return result; |
| 5504 | } |
| 5505 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5506 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 5507 | armnn::IWorkloadFactory& workloadFactory, |
| 5508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5509 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5510 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5511 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5512 | } |
| 5513 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5514 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5515 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 5516 | armnn::IWorkloadFactory& workloadFactory, |
| 5517 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5518 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5519 | int32_t qOffset) |
| 5520 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5521 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5522 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5523 | // Batch 0, Channel 0 |
| 5524 | 1.0f, 2.0f, |
| 5525 | |
| 5526 | // Batch 0, Channel 1 |
| 5527 | 3.0f, 4.0f, |
| 5528 | |
| 5529 | // Batch 0, Channel 2 |
| 5530 | 5.0f, 6.0f, |
| 5531 | |
| 5532 | // Batch 1, Channel 0 |
| 5533 | 19.0f, 20.0f, |
| 5534 | |
| 5535 | // Batch 1, Channel 1 |
| 5536 | 21.0f, 22.0f, |
| 5537 | |
| 5538 | // Batch 1, Channel 2 |
| 5539 | 23.0f, 24.0f |
| 5540 | })); |
| 5541 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5542 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5543 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5544 | // Batch 0, Channel 0 |
| 5545 | 7.0f, 8.0f, |
| 5546 | |
| 5547 | // Batch 0, Channel 1 |
| 5548 | 9.0f, 10.0f, |
| 5549 | |
| 5550 | // Batch 0, Channel 2 |
| 5551 | 11.0f, 12.0f, |
| 5552 | |
| 5553 | // Batch 0, Channel 3 |
| 5554 | 25.0f, 26.0f, |
| 5555 | |
| 5556 | // Batch 1, Channel 0 |
| 5557 | 27.0f, 28.0f, |
| 5558 | |
| 5559 | // Batch 1, Channel 1 |
| 5560 | 29.0f, 30.0f, |
| 5561 | |
| 5562 | // Batch 1, Channel 2 |
| 5563 | 13.0f, 14.0f, |
| 5564 | |
| 5565 | // Batch 1, Channel 3 |
| 5566 | 15.0f, 16.0f, |
| 5567 | })); |
| 5568 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5569 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5570 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5571 | // Batch 0, Channel 0 |
| 5572 | 17.0f, 18.0f, |
| 5573 | |
| 5574 | // Batch 1, Channel 0 |
| 5575 | 31.0f, 32.0f, |
| 5576 | })); |
| 5577 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5578 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5579 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5580 | |
| 5581 | std::vector<T> output; |
| 5582 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5583 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5584 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5585 | { input0.data(), input1.data(), input2.data() }, |
| 5586 | outputTensorInfo, |
| 5587 | output.data(), |
| 5588 | 1, |
| 5589 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5590 | |
| 5591 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5592 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5593 | // Batch 0, Channel 0 |
| 5594 | 1.0f, 2.0f, |
| 5595 | |
| 5596 | // Batch 0, Channel 1 |
| 5597 | 3.0f, 4.0f, |
| 5598 | |
| 5599 | // Batch 0, Channel 2 |
| 5600 | 5.0f, 6.0f, |
| 5601 | |
| 5602 | // Batch 0, Channel 3 |
| 5603 | 7.0f, 8.0f, |
| 5604 | |
| 5605 | // Batch 0, Channel 4 |
| 5606 | 9.0f, 10.0f, |
| 5607 | |
| 5608 | // Batch 0, Channel 5 |
| 5609 | 11.0f, 12.0f, |
| 5610 | |
| 5611 | // Batch 0, Channel 6 |
| 5612 | 25.0f, 26.0f, |
| 5613 | |
| 5614 | // Batch 0, Channel 7 |
| 5615 | 17.0f, 18.0f, |
| 5616 | |
| 5617 | // Batch 1, Channel 0 |
| 5618 | 19.0f, 20.0f, |
| 5619 | |
| 5620 | // Batch 1, Channel 1 |
| 5621 | 21.0f, 22.0f, |
| 5622 | |
| 5623 | // Batch 1, Channel 2 |
| 5624 | 23.0f, 24.0f, |
| 5625 | |
| 5626 | // Batch 1, Channel 3 |
| 5627 | 27.0f, 28.0f, |
| 5628 | |
| 5629 | // Batch 1, Channel 4 |
| 5630 | 29.0f, 30.0f, |
| 5631 | |
| 5632 | // Batch 1, Channel 5 |
| 5633 | 13.0f, 14.0f, |
| 5634 | |
| 5635 | // Batch 1, Channel 6 |
| 5636 | 15.0f, 16.0f, |
| 5637 | |
| 5638 | // Batch 1, Channel 7 |
| 5639 | 31.0f, 32.0f, |
| 5640 | })); |
| 5641 | |
| 5642 | return result; |
| 5643 | } |
| 5644 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5645 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 5646 | armnn::IWorkloadFactory& workloadFactory, |
| 5647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5648 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5649 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5650 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5651 | } |
| 5652 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5653 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5654 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 5655 | armnn::IWorkloadFactory& workloadFactory, |
| 5656 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5657 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5658 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5659 | int32_t qOffset) |
| 5660 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5661 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5662 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5663 | // Batch 0, Channel 0 |
| 5664 | 1.0f, 2.0f, |
| 5665 | |
| 5666 | // Batch 0, Channel 1 |
| 5667 | 3.0f, 4.0f, |
| 5668 | |
| 5669 | // Batch 0, Channel 2 |
| 5670 | 5.0f, 6.0f, |
| 5671 | |
| 5672 | // Batch 1, Channel 0 |
| 5673 | 19.0f, 20.0f, |
| 5674 | |
| 5675 | // Batch 1, Channel 1 |
| 5676 | 21.0f, 22.0f, |
| 5677 | |
| 5678 | // Batch 1, Channel 2 |
| 5679 | 23.0f, 24.0f |
| 5680 | })); |
| 5681 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5682 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5683 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5684 | // Batch 0, Channel 0 |
| 5685 | 7.0f, |
| 5686 | |
| 5687 | // Batch 0, Channel 1 |
| 5688 | 9.0f, |
| 5689 | |
| 5690 | // Batch 0, Channel 2 |
| 5691 | 11.0f, |
| 5692 | |
| 5693 | // Batch 1, Channel 0 |
| 5694 | 25.0f, |
| 5695 | |
| 5696 | // Batch 1, Channel 1 |
| 5697 | 27.0f, |
| 5698 | |
| 5699 | // Batch 1, Channel 2 |
| 5700 | 29.0f |
| 5701 | })); |
| 5702 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5703 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5704 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5705 | // Batch 0, Channel 0 |
| 5706 | 13.0f, 14.0f, 50.0f, |
| 5707 | |
| 5708 | // Batch 0, Channel 1 |
| 5709 | 15.0f, 16.0f, 51.0f, |
| 5710 | |
| 5711 | // Batch 0, Channel 2 |
| 5712 | 17.0f, 18.0f, 52.0f, |
| 5713 | |
| 5714 | // Batch 1, Channel 0 |
| 5715 | 31.0f, 32.0f, 53.0f, |
| 5716 | |
| 5717 | // Batch 1, Channel 1 |
| 5718 | 33.0f, 34.0f, 54.0f, |
| 5719 | |
| 5720 | // Batch 1, Channel 2 |
| 5721 | 35.0f, 36.0f, 55.0f, |
| 5722 | })); |
| 5723 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5724 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5725 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5726 | |
| 5727 | std::vector<T> output; |
| 5728 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5729 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5730 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5731 | { input0.data(), input1.data(), input2.data() }, |
| 5732 | outputTensorInfo, |
| 5733 | output.data(), |
| 5734 | 2, |
| 5735 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5736 | |
| 5737 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5738 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5739 | // Batch 0, Channel 0 |
| 5740 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 5741 | |
| 5742 | // Batch 0, Channel 1 |
| 5743 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 5744 | |
| 5745 | // Batch 0, Channel 2 |
| 5746 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 5747 | |
| 5748 | // Batch 1, Channel 0 |
| 5749 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 5750 | |
| 5751 | // Batch 1, Channel 1 |
| 5752 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 5753 | |
| 5754 | // Batch 1, Channel 2 |
| 5755 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 5756 | })); |
| 5757 | |
| 5758 | return result; |
| 5759 | } |
| 5760 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5761 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 5762 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5763 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5764 | bool useSubtensor) |
| 5765 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5766 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5767 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5768 | } |
| 5769 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5770 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5771 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 5772 | armnn::IWorkloadFactory& workloadFactory, |
| 5773 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5774 | const armnn::TensorInfo& outputTensorInfo, |
| 5775 | unsigned int dimension, |
| 5776 | bool useSubtensor, |
| 5777 | float qScale, |
| 5778 | int32_t qOffset) |
| 5779 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5780 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5781 | |
| 5782 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5783 | 1.0f, 2.0f, |
| 5784 | 3.0f, 4.0f, |
| 5785 | 5.0f, 6.0f, |
| 5786 | 7.0f, 8.0f, |
| 5787 | 9.0f, 10.0f, |
| 5788 | 11.0f, 12.0f |
| 5789 | })); |
| 5790 | |
| 5791 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5792 | 11.0f, 12.0f, |
| 5793 | 13.0f, 14.0f, |
| 5794 | 15.0f, 16.0f, |
| 5795 | 17.0f, 18.0f, |
| 5796 | 19.0f, 20.0f, |
| 5797 | 21.0f, 22.0f |
| 5798 | })); |
| 5799 | |
| 5800 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5801 | 21.0f, 22.0f, |
| 5802 | 23.0f, 24.0f, |
| 5803 | 25.0f, 26.0f, |
| 5804 | 27.0f, 28.0f, |
| 5805 | 29.0f, 30.0f, |
| 5806 | 31.0f, 32.0f |
| 5807 | })); |
| 5808 | |
| 5809 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5810 | |
| 5811 | std::vector<T> output; |
| 5812 | output.resize(outputTensorInfo.GetNumElements()); |
| 5813 | |
| 5814 | Concatenate<T>(workloadFactory, |
| 5815 | memoryManager, |
| 5816 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 5817 | {input0.data(), input1.data(), input2.data()}, |
| 5818 | outputTensorInfo, |
| 5819 | output.data(), |
| 5820 | dimension, |
| 5821 | useSubtensor); |
| 5822 | |
| 5823 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5824 | return result; |
| 5825 | } |
| 5826 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5827 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5828 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 5829 | armnn::IWorkloadFactory& workloadFactory, |
| 5830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5831 | float qScale, |
| 5832 | int32_t qOffset) |
| 5833 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5834 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5835 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5836 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5837 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 5838 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5839 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5840 | 1.0f, 2.0f, |
| 5841 | 3.0f, 4.0f, |
| 5842 | 5.0f, 6.0f, |
| 5843 | 7.0f, 8.0f, |
| 5844 | 9.0f, 10.0f, |
| 5845 | 11.0f, 12.0f, |
| 5846 | |
| 5847 | 11.0f, 12.0f, |
| 5848 | 13.0f, 14.0f, |
| 5849 | 15.0f, 16.0f, |
| 5850 | 17.0f, 18.0f, |
| 5851 | 19.0f, 20.0f, |
| 5852 | 21.0f, 22.0f, |
| 5853 | |
| 5854 | 21.0f, 22.0f, |
| 5855 | 23.0f, 24.0f, |
| 5856 | 25.0f, 26.0f, |
| 5857 | 27.0f, 28.0f, |
| 5858 | 29.0f, 30.0f, |
| 5859 | 31.0f, 32.0f |
| 5860 | })); |
| 5861 | return result; |
| 5862 | } |
| 5863 | |
| 5864 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 5865 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5866 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5867 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5868 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5869 | } |
| 5870 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5871 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5872 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 5873 | armnn::IWorkloadFactory& workloadFactory, |
| 5874 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5875 | float qScale, |
| 5876 | int32_t qOffset) |
| 5877 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5878 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5879 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5880 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5881 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 5882 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5883 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5884 | 1.0f, 2.0f, |
| 5885 | 3.0f, 4.0f, |
| 5886 | 5.0f, 6.0f, |
| 5887 | 7.0f, 8.0f, |
| 5888 | 9.0f, 10.0f, |
| 5889 | 11.0f, 12.0f, |
| 5890 | |
| 5891 | 11.0f, 12.0f, |
| 5892 | 13.0f, 14.0f, |
| 5893 | 15.0f, 16.0f, |
| 5894 | 17.0f, 18.0f, |
| 5895 | 19.0f, 20.0f, |
| 5896 | 21.0f, 22.0f, |
| 5897 | |
| 5898 | 21.0f, 22.0f, |
| 5899 | 23.0f, 24.0f, |
| 5900 | 25.0f, 26.0f, |
| 5901 | 27.0f, 28.0f, |
| 5902 | 29.0f, 30.0f, |
| 5903 | 31.0f, 32.0f |
| 5904 | })); |
| 5905 | |
| 5906 | return result; |
| 5907 | } |
| 5908 | |
| 5909 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 5910 | armnn::IWorkloadFactory& workloadFactory, |
| 5911 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5912 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5913 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5914 | } |
| 5915 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5916 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5917 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 5918 | armnn::IWorkloadFactory& workloadFactory, |
| 5919 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5920 | float qScale, |
| 5921 | int32_t qOffset) |
| 5922 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5923 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5924 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5925 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5926 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 5927 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5928 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5929 | 1.0f, 2.0f, |
| 5930 | 3.0f, 4.0f, |
| 5931 | 11.0f, 12.0f, |
| 5932 | 13.0f, 14.0f, |
| 5933 | 21.0f, 22.0f, |
| 5934 | 23.0f, 24.0f, |
| 5935 | |
| 5936 | 5.0f, 6.0f, |
| 5937 | 7.0f, 8.0f, |
| 5938 | 15.0f, 16.0f, |
| 5939 | 17.0f, 18.0f, |
| 5940 | 25.0f, 26.0f, |
| 5941 | 27.0f, 28.0f, |
| 5942 | |
| 5943 | 9.0f, 10.0f, |
| 5944 | 11.0f, 12.0f, |
| 5945 | 19.0f, 20.0f, |
| 5946 | 21.0f, 22.0f, |
| 5947 | 29.0f, 30.0f, |
| 5948 | 31.0f, 32.0f |
| 5949 | })); |
| 5950 | |
| 5951 | return result; |
| 5952 | } |
| 5953 | |
| 5954 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 5955 | armnn::IWorkloadFactory& workloadFactory, |
| 5956 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5957 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5958 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5959 | } |
| 5960 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5961 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5962 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 5963 | armnn::IWorkloadFactory& workloadFactory, |
| 5964 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5965 | float qScale, |
| 5966 | int32_t qOffset, |
| 5967 | bool useSubtensor) |
| 5968 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5969 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5970 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5971 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5972 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 5973 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5974 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5975 | 1.0f, 2.0f, |
| 5976 | 11.0f, 12.0f, |
| 5977 | 21.0f, 22.0f, |
| 5978 | 3.0f, 4.0f, |
| 5979 | 13.0f, 14.0f, |
| 5980 | 23.0f, 24.0f, |
| 5981 | |
| 5982 | 5.0f, 6.0f, |
| 5983 | 15.0f, 16.0f, |
| 5984 | 25.0f, 26.0f, |
| 5985 | 7.0f, 8.0f, |
| 5986 | 17.0f, 18.0f, |
| 5987 | 27.0f, 28.0f, |
| 5988 | |
| 5989 | 9.0f, 10.0f, |
| 5990 | 19.0f, 20.0f, |
| 5991 | 29.0f, 30.0f, |
| 5992 | 11.0f, 12.0f, |
| 5993 | 21.0f, 22.0f, |
| 5994 | 31.0f, 32.0f |
| 5995 | })); |
| 5996 | |
| 5997 | return result; |
| 5998 | } |
| 5999 | |
| 6000 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 6001 | armnn::IWorkloadFactory& workloadFactory, |
| 6002 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6003 | bool useSubtensor) |
| 6004 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6005 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 6006 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6007 | } |
| 6008 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6009 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6010 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 6011 | armnn::IWorkloadFactory& workloadFactory, |
| 6012 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6013 | float qScale, |
| 6014 | int32_t qOffset) |
| 6015 | { |
| 6016 | unsigned int dimension = 0; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6017 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6018 | |
| 6019 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6020 | 1.0f, 2.0f, |
| 6021 | 3.0f, 4.0f, |
| 6022 | 5.0f, 6.0f, |
| 6023 | 7.0f, 8.0f, |
| 6024 | 9.0f, 10.0f, |
| 6025 | 11.0f, 12.0f |
| 6026 | })); |
| 6027 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6028 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6029 | |
| 6030 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6031 | 11.0f, 12.0f, |
| 6032 | 13.0f, 14.0f, |
| 6033 | 15.0f, 16.0f, |
| 6034 | 17.0f, 18.0f, |
| 6035 | 19.0f, 20.0f, |
| 6036 | 21.0f, 22.0f, |
| 6037 | |
| 6038 | 21.0f, 22.0f, |
| 6039 | 23.0f, 24.0f, |
| 6040 | 25.0f, 26.0f, |
| 6041 | 27.0f, 28.0f, |
| 6042 | 29.0f, 30.0f, |
| 6043 | 31.0f, 32.0f |
| 6044 | |
| 6045 | })); |
| 6046 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6047 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6048 | |
| 6049 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6050 | |
| 6051 | std::vector<T> output; |
| 6052 | output.resize(outputTensorInfo.GetNumElements()); |
| 6053 | Concatenate<T>(workloadFactory, |
| 6054 | memoryManager, |
| 6055 | {inputTensorInfo0, inputTensorInfo1}, |
| 6056 | {input0.data(), input1.data()}, |
| 6057 | outputTensorInfo, |
| 6058 | output.data(), |
| 6059 | dimension, |
| 6060 | true); |
| 6061 | |
| 6062 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6063 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6064 | 1.0f, 2.0f, |
| 6065 | 3.0f, 4.0f, |
| 6066 | 5.0f, 6.0f, |
| 6067 | 7.0f, 8.0f, |
| 6068 | 9.0f, 10.0f, |
| 6069 | 11.0f, 12.0f, |
| 6070 | |
| 6071 | 11.0f, 12.0f, |
| 6072 | 13.0f, 14.0f, |
| 6073 | 15.0f, 16.0f, |
| 6074 | 17.0f, 18.0f, |
| 6075 | 19.0f, 20.0f, |
| 6076 | 21.0f, 22.0f, |
| 6077 | |
| 6078 | 21.0f, 22.0f, |
| 6079 | 23.0f, 24.0f, |
| 6080 | 25.0f, 26.0f, |
| 6081 | 27.0f, 28.0f, |
| 6082 | 29.0f, 30.0f, |
| 6083 | 31.0f, 32.0f |
| 6084 | })); |
| 6085 | |
| 6086 | return result; |
| 6087 | } |
| 6088 | |
| 6089 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 6090 | armnn::IWorkloadFactory& workloadFactory, |
| 6091 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6092 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6093 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 6094 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6095 | } |
| 6096 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6097 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6098 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 6099 | armnn::IWorkloadFactory& workloadFactory, |
| 6100 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6101 | float qScale, |
| 6102 | int32_t qOffset) |
| 6103 | { |
| 6104 | unsigned int dimension = 1; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6105 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6106 | |
| 6107 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6108 | 1.0f, 2.0f, |
| 6109 | 3.0f, 4.0f, |
| 6110 | 5.0f, 6.0f, |
| 6111 | 7.0f, 8.0f, |
| 6112 | 9.0f, 10.0f, |
| 6113 | 11.0f, 12.0f |
| 6114 | })); |
| 6115 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6116 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6117 | |
| 6118 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6119 | 11.0f, 12.0f, |
| 6120 | 13.0f, 14.0f, |
| 6121 | 15.0f, 16.0f, |
| 6122 | 17.0f, 18.0f, |
| 6123 | |
| 6124 | })); |
| 6125 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6126 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6127 | |
| 6128 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6129 | |
| 6130 | std::vector<T> output; |
| 6131 | output.resize(outputTensorInfo.GetNumElements()); |
| 6132 | Concatenate<T>(workloadFactory, |
| 6133 | memoryManager, |
| 6134 | {inputTensorInfo0, inputTensorInfo1}, |
| 6135 | {input0.data(), input1.data()}, |
| 6136 | outputTensorInfo, |
| 6137 | output.data(), |
| 6138 | dimension, |
| 6139 | true); |
| 6140 | |
| 6141 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6142 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6143 | 1.0f, 2.0f, |
| 6144 | 3.0f, 4.0f, |
| 6145 | 5.0f, 6.0f, |
| 6146 | 7.0f, 8.0f, |
| 6147 | 9.0f, 10.0f, |
| 6148 | 11.0f, 12.0f, |
| 6149 | 11.0f, 12.0f, |
| 6150 | 13.0f, 14.0f, |
| 6151 | 15.0f, 16.0f, |
| 6152 | 17.0f, 18.0f |
| 6153 | })); |
| 6154 | |
| 6155 | return result; |
| 6156 | } |
| 6157 | |
| 6158 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 6159 | armnn::IWorkloadFactory& workloadFactory, |
| 6160 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6161 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6162 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 6163 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6164 | } |
| 6165 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6166 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6167 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 6168 | armnn::IWorkloadFactory& workloadFactory, |
| 6169 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6170 | float qScale, |
| 6171 | int32_t qOffset) |
| 6172 | { |
| 6173 | unsigned int dimension = 2; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6174 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6175 | |
| 6176 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6177 | 1.0f, 2.0f, |
| 6178 | 3.0f, 4.0f, |
| 6179 | 5.0f, 6.0f, |
| 6180 | 7.0f, 8.0f, |
| 6181 | 9.0f, 10.0f, |
| 6182 | 11.0f, 12.0f |
| 6183 | })); |
| 6184 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6185 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6186 | |
| 6187 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6188 | 11.0f, 12.0f, |
| 6189 | 13.0f, 14.0f, |
| 6190 | 15.0f, 16.0f, |
| 6191 | 17.0f, 18.0f, |
| 6192 | 19.0f, 20.0f, |
| 6193 | 21.0f, 22.0f, |
| 6194 | 23.0f, 24.0f, |
| 6195 | 25.0f, 26.0f, |
| 6196 | 27.0f, 28.0f |
| 6197 | })); |
| 6198 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6199 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6200 | |
| 6201 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6202 | |
| 6203 | std::vector<T> output; |
| 6204 | output.resize(outputTensorInfo.GetNumElements()); |
| 6205 | Concatenate<T>(workloadFactory, |
| 6206 | memoryManager, |
| 6207 | {inputTensorInfo0, inputTensorInfo1}, |
| 6208 | {input0.data(), input1.data()}, |
| 6209 | outputTensorInfo, |
| 6210 | output.data(), |
| 6211 | dimension, |
| 6212 | true); |
| 6213 | |
| 6214 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6215 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6216 | 1.0f, 2.0f, |
| 6217 | 3.0f, 4.0f, |
| 6218 | 11.0f, 12.0f, |
| 6219 | 13.0f, 14.0f, |
| 6220 | 15.0f, 16.0f, |
| 6221 | |
| 6222 | 5.0f, 6.0f, |
| 6223 | 7.0f, 8.0f, |
| 6224 | 17.0f, 18.0f, |
| 6225 | 19.0f, 20.0f, |
| 6226 | 21.0f, 22.0f, |
| 6227 | |
| 6228 | 9.0f, 10.0f, |
| 6229 | 11.0f, 12.0f, |
| 6230 | 23.0f, 24.0f, |
| 6231 | 25.0f, 26.0f, |
| 6232 | 27.0f, 28.0f |
| 6233 | })); |
| 6234 | |
| 6235 | return result; |
| 6236 | } |
| 6237 | |
| 6238 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 6239 | armnn::IWorkloadFactory& workloadFactory, |
| 6240 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6241 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6242 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 6243 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6244 | } |
| 6245 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6246 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6247 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 6248 | armnn::IWorkloadFactory& workloadFactory, |
| 6249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6250 | float qScale, |
| 6251 | int32_t qOffset, |
| 6252 | bool useSubtensor) |
| 6253 | { |
| 6254 | unsigned int dimension = 3; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6255 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6256 | |
| 6257 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6258 | 1.0f, 2.0f, |
| 6259 | 3.0f, 4.0f, |
| 6260 | 5.0f, 6.0f, |
| 6261 | 7.0f, 8.0f, |
| 6262 | 9.0f, 10.0f, |
| 6263 | 11.0f, 12.0f |
| 6264 | })); |
| 6265 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6266 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6267 | |
| 6268 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6269 | 11.0f, 12.0f, 13.0f, |
| 6270 | 14.0f, 15.0f, 16.0f, |
| 6271 | |
| 6272 | 17.0f, 18.0f, 19.0f, |
| 6273 | 20.0f, 21.0f, 22.0f, |
| 6274 | |
| 6275 | 23.0f, 24.0f, 25.0f, |
| 6276 | 26.0f, 27.0f, 28.0f |
| 6277 | })); |
| 6278 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6279 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6280 | |
| 6281 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6282 | |
| 6283 | std::vector<T> output; |
| 6284 | output.resize(outputTensorInfo.GetNumElements()); |
| 6285 | Concatenate<T>(workloadFactory, |
| 6286 | memoryManager, |
| 6287 | {inputTensorInfo0, inputTensorInfo1}, |
| 6288 | {input0.data(), input1.data()}, |
| 6289 | outputTensorInfo, |
| 6290 | output.data(), |
| 6291 | dimension, |
| 6292 | useSubtensor); |
| 6293 | |
| 6294 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6295 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6296 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 6297 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 6298 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 6299 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 6300 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 6301 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 6302 | })); |
| 6303 | |
| 6304 | return result; |
| 6305 | } |
| 6306 | |
| 6307 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 6308 | armnn::IWorkloadFactory& workloadFactory, |
| 6309 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6310 | bool useSubtensor) |
| 6311 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6312 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 6313 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6314 | } |
| 6315 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6316 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 6317 | armnn::IWorkloadFactory& workloadFactory, |
| 6318 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6319 | { |
| 6320 | constexpr unsigned int width = 2; |
| 6321 | constexpr unsigned int height = 3; |
| 6322 | |
| 6323 | const armnn::TensorInfo tensorInfo({height, width }, |
| 6324 | armnn::DataType::Float32); |
| 6325 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 6326 | -10.0f, -5.0f, |
| 6327 | 0.0f, 5.0f, |
| 6328 | 10.0f, 10.0f |
| 6329 | })); |
| 6330 | |
| 6331 | LayerTestResult<float, 2> ret(tensorInfo); |
| 6332 | |
| 6333 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 6334 | |
| 6335 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 6336 | |
| 6337 | armnn::FakeQuantizationQueueDescriptor data; |
| 6338 | armnn::WorkloadInfo info; |
| 6339 | |
| 6340 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 6341 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 6342 | float min = -10.f; |
| 6343 | float max = 10.f; |
| 6344 | |
| 6345 | data.m_Parameters.m_Min = min; |
| 6346 | data.m_Parameters.m_Max = max; |
| 6347 | |
| 6348 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 6349 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 6350 | armnn::WorkloadInfo refInfo = info; |
| 6351 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 6352 | |
| 6353 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 6354 | |
| 6355 | inputHandle->Allocate(); |
| 6356 | outputHandle->Allocate(); |
| 6357 | |
| 6358 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 6359 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6360 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6361 | workload->Execute(); |
| 6362 | |
| 6363 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 6364 | |
| 6365 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 6366 | 0.0f, 63.0f, |
| 6367 | 128.0f, 191.0f, |
| 6368 | 255.0f, 255.0f |
| 6369 | })); |
| 6370 | return ret; |
| 6371 | } |
| 6372 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6373 | namespace |
| 6374 | { |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6375 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6376 | LayerTestResult<T, 4> L2NormalizationTestImpl( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6377 | armnn::IWorkloadFactory& workloadFactory, |
| 6378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6379 | const armnn::TensorShape& inputOutputTensorShape, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6380 | float scale, |
| 6381 | int32_t offset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6382 | const std::vector<float>& inputValues, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6383 | float outScale, |
| 6384 | int32_t outOffset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6385 | const std::vector<float>& expectedOutputValues, |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6386 | const armnn::DataLayout layout, |
| 6387 | float epsilon = 1e-12f) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6388 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6389 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, scale, offset); |
| 6390 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, outScale, outOffset); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6391 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6392 | // at this point if we require it permute the input data |
| 6393 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 6394 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6395 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6396 | { |
| 6397 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 6398 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6399 | inputData = tmp; |
| 6400 | } |
| 6401 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6402 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>( |
| 6403 | inputTensorInfo.GetQuantizationScale(), |
| 6404 | inputTensorInfo.GetQuantizationOffset(), |
| 6405 | inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6406 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6407 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6408 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6409 | { |
| 6410 | std::vector<float> tmp(expectedOutputData.size()); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6411 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, expectedOutputData.data(), tmp.data(), |
| 6412 | sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6413 | expectedOutputData = tmp; |
| 6414 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6415 | |
| 6416 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6417 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>( |
| 6418 | outputTensorInfo.GetQuantizationScale(), |
| 6419 | outputTensorInfo.GetQuantizationOffset(), |
| 6420 | expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6421 | |
| 6422 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6423 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6424 | |
| 6425 | armnn::L2NormalizationQueueDescriptor descriptor; |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6426 | descriptor.m_Parameters.m_Eps = epsilon; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6427 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6428 | armnn::WorkloadInfo info; |
| 6429 | |
| 6430 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6431 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6432 | |
| 6433 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 6434 | |
| 6435 | inputHandle->Allocate(); |
| 6436 | outputHandle->Allocate(); |
| 6437 | |
| 6438 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6439 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6440 | workload->PostAllocationConfigure(); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6441 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6442 | |
| 6443 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6444 | |
| 6445 | return result; |
| 6446 | } |
| 6447 | |
| 6448 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 6449 | { |
| 6450 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 6451 | [](float acc, float element) { return acc + element * element; }); |
| 6452 | return 1.0f / sqrtf(reduction); |
| 6453 | } |
| 6454 | |
| 6455 | } // anonymous namespace |
| 6456 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6457 | template<armnn::DataType ArmnnType, typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6458 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 6459 | armnn::IWorkloadFactory& workloadFactory, |
| 6460 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6461 | float qScale, |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6462 | int32_t qOffset, |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6463 | const float customPaddingValue) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6464 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6465 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 6466 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6467 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6468 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 6469 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6470 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6471 | std::vector<T> inputValues( |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6472 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6473 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6474 | // Height (3) x Width (3) |
| 6475 | 4, 8, 6, |
| 6476 | 7, 4, 4, |
| 6477 | 3, 2, 4 |
| 6478 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6479 | |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6480 | auto p = customPaddingValue; |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6481 | std::vector<T> expectedOutputValues; |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6482 | expectedOutputValues = ( |
| 6483 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6484 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6485 | p, p, p, p, p, p, p, |
| 6486 | p, p, p, p, p, p, p, |
| 6487 | p, p, 4, 8, 6, p, p, |
| 6488 | p, p, 7, 4, 4, p, p, |
| 6489 | p, p, 3, 2, 4, p, p, |
| 6490 | p, p, p, p, p, p, p, |
| 6491 | p, p, p, p, p, p, p |
| 6492 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6493 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6494 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6495 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6496 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 6497 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6498 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6499 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6500 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6501 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6502 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6503 | |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6504 | std::vector<std::pair<unsigned int, unsigned int>> padList; |
| 6505 | padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 6506 | padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6507 | |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6508 | descriptor.m_Parameters.m_PadList = padList; |
| 6509 | descriptor.m_Parameters.m_PadValue = customPaddingValue; |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6510 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6511 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6512 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6513 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6514 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6515 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6516 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6517 | inputHandle->Allocate(); |
| 6518 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6519 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6520 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6521 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6522 | workload->PostAllocationConfigure(); |
| 6523 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6524 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6525 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6526 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6527 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6528 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6529 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6530 | template<armnn::DataType ArmnnType, typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6531 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 6532 | armnn::IWorkloadFactory& workloadFactory, |
| 6533 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6534 | float qScale, |
| 6535 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6536 | { |
| 6537 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 6538 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 6539 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6540 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 6541 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6542 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6543 | std::vector<T> inputValues( |
| 6544 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6545 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6546 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6547 | 0, 4, |
| 6548 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6549 | |
| 6550 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6551 | 6, 1, |
| 6552 | 5, 2 |
| 6553 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6554 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6555 | std::vector<T> expectedOutputValues( |
| 6556 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6557 | { |
| 6558 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6559 | 0, 0, 0, 0, 0, 0, |
| 6560 | 0, 0, 0, 0, 0, 0, |
| 6561 | 0, 0, 0, 4, 0, 0, |
| 6562 | 0, 0, 2, 5, 0, 0, |
| 6563 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6564 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6565 | 0, 0, 0, 0, 0, 0, |
| 6566 | 0, 0, 0, 0, 0, 0, |
| 6567 | 0, 0, 6, 1, 0, 0, |
| 6568 | 0, 0, 5, 2, 0, 0, |
| 6569 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6570 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6571 | 0, 0, 0, 0, 0, 0, |
| 6572 | 0, 0, 0, 0, 0, 0, |
| 6573 | 0, 0, 0, 0, 0, 0, |
| 6574 | 0, 0, 0, 0, 0, 0, |
| 6575 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6576 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6577 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6578 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6579 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6580 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6581 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 6582 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6583 | |
| 6584 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6585 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6586 | |
| 6587 | armnn::PadQueueDescriptor descriptor; |
| 6588 | |
| 6589 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 6590 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 6591 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 6592 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 6593 | |
| 6594 | descriptor.m_Parameters.m_PadList = PadList; |
| 6595 | armnn::WorkloadInfo info; |
| 6596 | |
| 6597 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6598 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6599 | |
| 6600 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6601 | |
| 6602 | inputHandle->Allocate(); |
| 6603 | outputHandle->Allocate(); |
| 6604 | |
| 6605 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 6606 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6607 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6608 | workload->Execute(); |
| 6609 | |
| 6610 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 6611 | |
| 6612 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6613 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6614 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6615 | template<armnn::DataType ArmnnType, typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6616 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 6617 | armnn::IWorkloadFactory& workloadFactory, |
| 6618 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6619 | float qScale, |
| 6620 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6621 | { |
| 6622 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 6623 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 6624 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6625 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 6626 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6627 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6628 | std::vector<T> inputValues( |
| 6629 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6630 | { |
| 6631 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6632 | 0, 1, |
| 6633 | 2, 3, |
| 6634 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6635 | |
| 6636 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6637 | 6, 7, |
| 6638 | 8, 9, |
| 6639 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6640 | |
| 6641 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6642 | 12, 13, |
| 6643 | 14, 15, |
| 6644 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6645 | |
| 6646 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6647 | 18, 19, |
| 6648 | 20, 21, |
| 6649 | 22, 23 |
| 6650 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6651 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6652 | std::vector<T> expectedOutputValues( |
| 6653 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6654 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6655 | 0, 0, 0, 0, |
| 6656 | 0, 0, 0, 0, |
| 6657 | 0, 0, 0, 0, |
| 6658 | 0, 0, 0, 0, |
| 6659 | 0, 0, 0, 0, |
| 6660 | 0, 0, 0, 0, |
| 6661 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6662 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6663 | 0, 0, 0, 0, |
| 6664 | 0, 0, 0, 0, |
| 6665 | 0, 0, 0, 0, |
| 6666 | 0, 0, 0, 0, |
| 6667 | 0, 0, 0, 0, |
| 6668 | 0, 0, 0, 0, |
| 6669 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6670 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6671 | 0, 0, 0, 0, |
| 6672 | 0, 0, 0, 0, |
| 6673 | 0, 0, 0, 0, |
| 6674 | 0, 0, 0, 0, |
| 6675 | 0, 0, 0, 0, |
| 6676 | 0, 0, 0, 0, |
| 6677 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6678 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6679 | 0, 0, 0, 0, |
| 6680 | 0, 0, 0, 0, |
| 6681 | 0, 0, 0, 0, |
| 6682 | 0, 0, 0, 0, |
| 6683 | 0, 0, 0, 0, |
| 6684 | 0, 0, 0, 0, |
| 6685 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6686 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6687 | 0, 0, 0, 0, |
| 6688 | 0, 0, 0, 0, |
| 6689 | 0, 0, 0, 0, |
| 6690 | 0, 0, 0, 0, |
| 6691 | 0, 0, 0, 0, |
| 6692 | 0, 0, 0, 0, |
| 6693 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6694 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6695 | 0, 0, 0, 0, |
| 6696 | 0, 0, 0, 0, |
| 6697 | 0, 0, 0, 0, |
| 6698 | 0, 0, 0, 0, |
| 6699 | 0, 0, 0, 0, |
| 6700 | 0, 0, 0, 0, |
| 6701 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6702 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6703 | 0, 0, 0, 0, |
| 6704 | 0, 0, 0, 0, |
| 6705 | 0, 0, 0, 0, |
| 6706 | 0, 0, 0, 0, |
| 6707 | 0, 0, 0, 0, |
| 6708 | 0, 0, 0, 0, |
| 6709 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6710 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6711 | 0, 0, 0, 0, |
| 6712 | 0, 0, 0, 0, |
| 6713 | 0, 0, 0, 0, |
| 6714 | 0, 0, 1, 0, |
| 6715 | 0, 2, 3, 0, |
| 6716 | 0, 4, 5, 0, |
| 6717 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6718 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6719 | 0, 0, 0, 0, |
| 6720 | 0, 0, 0, 0, |
| 6721 | 0, 0, 0, 0, |
| 6722 | 0, 6, 7, 0, |
| 6723 | 0, 8, 9, 0, |
| 6724 | 0, 10, 11, 0, |
| 6725 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6726 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6727 | 0, 0, 0, 0, |
| 6728 | 0, 0, 0, 0, |
| 6729 | 0, 0, 0, 0, |
| 6730 | 0, 0, 0, 0, |
| 6731 | 0, 0, 0, 0, |
| 6732 | 0, 0, 0, 0, |
| 6733 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6734 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6735 | 0, 0, 0, 0, |
| 6736 | 0, 0, 0, 0, |
| 6737 | 0, 0, 0, 0, |
| 6738 | 0, 0, 0, 0, |
| 6739 | 0, 0, 0, 0, |
| 6740 | 0, 0, 0, 0, |
| 6741 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6742 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6743 | 0, 0, 0, 0, |
| 6744 | 0, 0, 0, 0, |
| 6745 | 0, 0, 0, 0, |
| 6746 | 0, 0, 0, 0, |
| 6747 | 0, 0, 0, 0, |
| 6748 | 0, 0, 0, 0, |
| 6749 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6750 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6751 | 0, 0, 0, 0, |
| 6752 | 0, 0, 0, 0, |
| 6753 | 0, 0, 0, 0, |
| 6754 | 0, 12, 13, 0, |
| 6755 | 0, 14, 15, 0, |
| 6756 | 0, 16, 17, 0, |
| 6757 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6758 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6759 | 0, 0, 0, 0, |
| 6760 | 0, 0, 0, 0, |
| 6761 | 0, 0, 0, 0, |
| 6762 | 0, 18, 19, 0, |
| 6763 | 0, 20, 21, 0, |
| 6764 | 0, 22, 23, 0, |
| 6765 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6766 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6767 | 0, 0, 0, 0, |
| 6768 | 0, 0, 0, 0, |
| 6769 | 0, 0, 0, 0, |
| 6770 | 0, 0, 0, 0, |
| 6771 | 0, 0, 0, 0, |
| 6772 | 0, 0, 0, 0, |
| 6773 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6774 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6775 | 0, 0, 0, 0, |
| 6776 | 0, 0, 0, 0, |
| 6777 | 0, 0, 0, 0, |
| 6778 | 0, 0, 0, 0, |
| 6779 | 0, 0, 0, 0, |
| 6780 | 0, 0, 0, 0, |
| 6781 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6782 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6783 | 0, 0, 0, 0, |
| 6784 | 0, 0, 0, 0, |
| 6785 | 0, 0, 0, 0, |
| 6786 | 0, 0, 0, 0, |
| 6787 | 0, 0, 0, 0, |
| 6788 | 0, 0, 0, 0, |
| 6789 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6790 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6791 | 0, 0, 0, 0, |
| 6792 | 0, 0, 0, 0, |
| 6793 | 0, 0, 0, 0, |
| 6794 | 0, 0, 0, 0, |
| 6795 | 0, 0, 0, 0, |
| 6796 | 0, 0, 0, 0, |
| 6797 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6798 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6799 | 0, 0, 0, 0, |
| 6800 | 0, 0, 0, 0, |
| 6801 | 0, 0, 0, 0, |
| 6802 | 0, 0, 0, 0, |
| 6803 | 0, 0, 0, 0, |
| 6804 | 0, 0, 0, 0, |
| 6805 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6806 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6807 | 0, 0, 0, 0, |
| 6808 | 0, 0, 0, 0, |
| 6809 | 0, 0, 0, 0, |
| 6810 | 0, 0, 0, 0, |
| 6811 | 0, 0, 0, 0, |
| 6812 | 0, 0, 0, 0, |
| 6813 | 0, 0, 0, 0 |
| 6814 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6815 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6816 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6817 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6818 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6819 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6820 | |
| 6821 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6822 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6823 | |
| 6824 | armnn::PadQueueDescriptor descriptor; |
| 6825 | |
| 6826 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 6827 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6828 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 6829 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 6830 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6831 | |
| 6832 | descriptor.m_Parameters.m_PadList = PadList; |
| 6833 | armnn::WorkloadInfo info; |
| 6834 | |
| 6835 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6836 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6837 | |
| 6838 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6839 | |
| 6840 | inputHandle->Allocate(); |
| 6841 | outputHandle->Allocate(); |
| 6842 | |
| 6843 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6844 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6845 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6846 | workload->Execute(); |
| 6847 | |
| 6848 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6849 | |
| 6850 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6851 | } |
| 6852 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6853 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 6854 | armnn::IWorkloadFactory& workloadFactory, |
| 6855 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6856 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6857 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6858 | } |
| 6859 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6860 | LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest( |
| 6861 | armnn::IWorkloadFactory& workloadFactory, |
| 6862 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6863 | { |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6864 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f); |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6865 | } |
| 6866 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6867 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 6868 | armnn::IWorkloadFactory& workloadFactory, |
| 6869 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6870 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6871 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6872 | } |
| 6873 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6874 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 6875 | armnn::IWorkloadFactory& workloadFactory, |
| 6876 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6877 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6878 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6879 | } |
| 6880 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6881 | |
| 6882 | template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 2> |
| 6883 | Pad2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 6884 | armnn::IWorkloadFactory& workloadFactory, |
| 6885 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6886 | float qScale, |
| 6887 | int32_t qOffset, |
| 6888 | const float customPaddingValue); |
| 6889 | |
| 6890 | template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 3> |
| 6891 | Pad3dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 6892 | armnn::IWorkloadFactory& workloadFactory, |
| 6893 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6894 | float qScale, |
| 6895 | int32_t qOffset); |
| 6896 | |
| 6897 | template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 6898 | Pad4dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 6899 | armnn::IWorkloadFactory& workloadFactory, |
| 6900 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6901 | float qScale, |
| 6902 | int32_t qOffset); |
| 6903 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6904 | LayerTestResult<float, 2> PadFloat322dTest( |
| 6905 | armnn::IWorkloadFactory& workloadFactory, |
| 6906 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6907 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6908 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6909 | } |
| 6910 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6911 | LayerTestResult<float, 2> PadFloat322dCustomPaddingTest( |
| 6912 | armnn::IWorkloadFactory& workloadFactory, |
| 6913 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6914 | { |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6915 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f); |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6916 | } |
| 6917 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6918 | LayerTestResult<float, 3> PadFloat323dTest( |
| 6919 | armnn::IWorkloadFactory& workloadFactory, |
| 6920 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6921 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6922 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6923 | } |
| 6924 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6925 | LayerTestResult<float, 4> PadFloat324dTest( |
| 6926 | armnn::IWorkloadFactory& workloadFactory, |
| 6927 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6928 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6929 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6930 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6931 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6932 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6933 | LayerTestResult<T, 4> L2NormalizationEpsilonTestCommon( |
| 6934 | armnn::IWorkloadFactory& workloadFactory, |
| 6935 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6936 | float scale, |
| 6937 | int32_t offset, |
| 6938 | float outScale, |
| 6939 | int32_t outOffset, |
| 6940 | const armnn::DataLayout layout, |
| 6941 | float epsilon) |
| 6942 | { |
| 6943 | // Width: 1 |
| 6944 | // Height: 1 |
| 6945 | // Channels: 3 |
| 6946 | // BatchSize: 1 |
| 6947 | unsigned int numberOfBatches = 1; |
| 6948 | unsigned int numberOfChannels = 3; |
| 6949 | unsigned int height = 1; |
| 6950 | unsigned int width = 1; |
| 6951 | |
| 6952 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
| 6953 | numberOfBatches, numberOfChannels, height, width, layout); |
| 6954 | |
| 6955 | // 0.0000001^2 + 0.00000002^2 + 0.00000003^2 < 1e-12 |
| 6956 | std::vector<float> inputValues |
| 6957 | { |
| 6958 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6959 | 0.00000001f, |
| 6960 | |
| 6961 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 6962 | 0.00000002f, |
| 6963 | |
| 6964 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 6965 | 0.00000003f, |
| 6966 | }; |
| 6967 | |
| 6968 | const float approxInvL2Norm = 1.f / sqrtf(epsilon); |
| 6969 | std::vector<float> expectedOutputValues |
| 6970 | { |
| 6971 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6972 | 0.00000001f * approxInvL2Norm, |
| 6973 | 0.00000002f * approxInvL2Norm, |
| 6974 | 0.00000003f * approxInvL2Norm, |
| 6975 | }; |
| 6976 | |
| 6977 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6978 | inputValues, outScale, outOffset, expectedOutputValues, layout, |
| 6979 | epsilon); |
| 6980 | } |
| 6981 | |
| 6982 | |
| 6983 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6984 | LayerTestResult<T, 4> L2Normalization1dTestCommon( |
| 6985 | armnn::IWorkloadFactory& workloadFactory, |
| 6986 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6987 | float scale, |
| 6988 | int32_t offset, |
| 6989 | float outScale, |
| 6990 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6991 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6992 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6993 | // Width: 1 |
| 6994 | // Height: 1 |
| 6995 | // Channels: 10 |
| 6996 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6997 | unsigned int numberOfBatches = 1; |
| 6998 | unsigned int numberOfChannels = 10; |
| 6999 | unsigned int height = 1; |
| 7000 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7001 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7002 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7003 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7004 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7005 | std::vector<float> inputValues |
| 7006 | { |
| 7007 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7008 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7009 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7010 | // Batch 0, Channel 1, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7011 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7012 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7013 | // Batch 0, Channel 2, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7014 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7015 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7016 | // Batch 0, Channel 3, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7017 | 4.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7018 | |
| 7019 | // Batch 0, Channel 4, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7020 | 5.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7021 | |
| 7022 | // Batch 0, Channel 5, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7023 | 6.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7024 | |
| 7025 | // Batch 0, Channel 6, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7026 | 7.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7027 | |
| 7028 | // Batch 0, Channel 7, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7029 | 8.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7030 | |
| 7031 | // Batch 0, Channel 8, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7032 | 9.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7033 | |
| 7034 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 7035 | 10.0f |
| 7036 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7037 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7038 | std::vector<float> expectedOutputValues |
| 7039 | { |
| 7040 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7041 | 1.0f * approxInvL2Norm, |
| 7042 | 2.0f * approxInvL2Norm, |
| 7043 | 3.0f * approxInvL2Norm, |
| 7044 | 4.0f * approxInvL2Norm, |
| 7045 | 5.0f * approxInvL2Norm, |
| 7046 | 6.0f * approxInvL2Norm, |
| 7047 | 7.0f * approxInvL2Norm, |
| 7048 | 8.0f * approxInvL2Norm, |
| 7049 | 9.0f * approxInvL2Norm, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7050 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7051 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7052 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7053 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7054 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7055 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7056 | } |
| 7057 | |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 7058 | LayerTestResult<float, 4> L2NormalizationDefaultEpsilonTest( |
| 7059 | armnn::IWorkloadFactory& workloadFactory, |
| 7060 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7061 | const armnn::DataLayout layout) |
| 7062 | { |
| 7063 | // Dummy descriptor to get the default value of epsilon. |
| 7064 | armnn::L2NormalizationDescriptor descriptor; |
| 7065 | |
| 7066 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7067 | layout, descriptor.m_Eps); |
| 7068 | } |
| 7069 | |
| 7070 | LayerTestResult<float, 4> L2NormalizationNonDefaultEpsilonTest( |
| 7071 | armnn::IWorkloadFactory& workloadFactory, |
| 7072 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7073 | const armnn::DataLayout layout) |
| 7074 | { |
| 7075 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7076 | layout, 1e-9f); |
| 7077 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7078 | |
| 7079 | LayerTestResult<float, 4> L2Normalization1dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7080 | armnn::IWorkloadFactory& workloadFactory, |
| 7081 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7082 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7083 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7084 | return L2Normalization1dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0,layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7085 | } |
| 7086 | |
| 7087 | LayerTestResult<int16_t, 4> L2Normalization1dInt16Test( |
| 7088 | armnn::IWorkloadFactory& workloadFactory, |
| 7089 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7090 | const armnn::DataLayout layout) |
| 7091 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7092 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7093 | layout); |
| 7094 | } |
| 7095 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7096 | LayerTestResult<uint8_t, 4> L2Normalization1dUint8Test( |
| 7097 | armnn::IWorkloadFactory& workloadFactory, |
| 7098 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7099 | const armnn::DataLayout layout) |
| 7100 | { |
| 7101 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7102 | 1.f/128, 128, layout); |
| 7103 | } |
| 7104 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7105 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7106 | LayerTestResult<T, 4> L2Normalization2dTestCommon( |
| 7107 | armnn::IWorkloadFactory& workloadFactory, |
| 7108 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7109 | float scale, |
| 7110 | int32_t offset, |
| 7111 | float outScale, |
| 7112 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7113 | const armnn::DataLayout layout) |
| 7114 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7115 | // Width: 5 |
| 7116 | // Height: 1 |
| 7117 | // Channels: 2 |
| 7118 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7119 | unsigned int numberOfBatches = 1; |
| 7120 | unsigned int numberOfChannels = 2; |
| 7121 | unsigned int height = 1; |
| 7122 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7123 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7124 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7125 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7126 | std::vector<float> inputValues |
| 7127 | { |
| 7128 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7129 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7130 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7131 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 7132 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 7133 | }; |
| 7134 | std::vector<float> expectedOutputValues |
| 7135 | { |
| 7136 | // Batch 0, Channel 0, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7137 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 7138 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 7139 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 7140 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
| 7141 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7142 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7143 | // Batch 0, Channel 1, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7144 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 7145 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 7146 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 7147 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7148 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7149 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7150 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7151 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7152 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7153 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7154 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7155 | LayerTestResult<float, 4> L2Normalization2dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7156 | armnn::IWorkloadFactory& workloadFactory, |
| 7157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7158 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7159 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7160 | return L2Normalization2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7161 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7162 | } |
| 7163 | |
| 7164 | LayerTestResult<int16_t, 4> L2Normalization2dInt16Test( |
| 7165 | armnn::IWorkloadFactory& workloadFactory, |
| 7166 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7167 | const armnn::DataLayout layout) |
| 7168 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7169 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7170 | layout); |
| 7171 | } |
| 7172 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7173 | LayerTestResult<uint8_t, 4> L2Normalization2dUint8Test( |
| 7174 | armnn::IWorkloadFactory& workloadFactory, |
| 7175 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7176 | const armnn::DataLayout layout) |
| 7177 | { |
| 7178 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7179 | 1.f/128, 128, layout); |
| 7180 | } |
| 7181 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7182 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7183 | LayerTestResult<T, 4> L2Normalization3dTestCommon( |
| 7184 | armnn::IWorkloadFactory& workloadFactory, |
| 7185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7186 | float scale, |
| 7187 | int32_t offset, |
| 7188 | float outScale, |
| 7189 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7190 | const armnn::DataLayout layout) |
| 7191 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7192 | // Width: 3 |
| 7193 | // Height: 4 |
| 7194 | // Channels: 2 |
| 7195 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7196 | unsigned int numberOfBatches = 1; |
| 7197 | unsigned int numberOfChannels = 2; |
| 7198 | unsigned int height = 4; |
| 7199 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7200 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7201 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7202 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7203 | std::vector<float> inputValues |
| 7204 | { |
| 7205 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7206 | 119.0f, 21.0f, 150.0f, |
| 7207 | 149.0f, 32.0f, 179.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7208 | 15.0f, 227.0f, 141.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7209 | 147.0f, 199.0f, 220.0f, |
| 7210 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7211 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7212 | 110.0f, 140.0f, 73.0f, |
| 7213 | 211.0f, 212.0f, 89.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7214 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7215 | 162.0f, 12.0f, 161.0f |
| 7216 | }; |
| 7217 | std::vector<float> expectedOutputValues |
| 7218 | { |
| 7219 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7220 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7221 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7222 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 7223 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7224 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7225 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7226 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7227 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 7228 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 7229 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 7230 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 7231 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 7232 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7233 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7234 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 7235 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7236 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7237 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 7238 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7239 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 7240 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7241 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 7242 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 7243 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7244 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7245 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 7246 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7247 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7248 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7249 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7250 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7251 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7252 | LayerTestResult<float, 4> L2Normalization3dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7253 | armnn::IWorkloadFactory& workloadFactory, |
| 7254 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7255 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7256 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7257 | return L2Normalization3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7258 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7259 | } |
| 7260 | |
| 7261 | LayerTestResult<int16_t, 4> L2Normalization3dInt16Test( |
| 7262 | armnn::IWorkloadFactory& workloadFactory, |
| 7263 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7264 | const armnn::DataLayout layout) |
| 7265 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7266 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7267 | layout); |
| 7268 | } |
| 7269 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7270 | LayerTestResult<uint8_t, 4> L2Normalization3dUint8Test( |
| 7271 | armnn::IWorkloadFactory& workloadFactory, |
| 7272 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7273 | const armnn::DataLayout layout) |
| 7274 | { |
| 7275 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7276 | 1.f/128, 128, layout); |
| 7277 | } |
| 7278 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7279 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7280 | LayerTestResult<T, 4> L2Normalization4dTestCommon( |
| 7281 | armnn::IWorkloadFactory& workloadFactory, |
| 7282 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7283 | float scale, |
| 7284 | int32_t offset, |
| 7285 | float outScale, |
| 7286 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7287 | const armnn::DataLayout layout) |
| 7288 | { |
| 7289 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7290 | // Height: 4 |
| 7291 | // Channels: 3 |
| 7292 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7293 | unsigned int numberOfBatches = 2; |
| 7294 | unsigned int numberOfChannels = 3; |
| 7295 | unsigned int height = 4; |
| 7296 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7297 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7298 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7299 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7300 | std::vector<float> inputValues |
| 7301 | { |
| 7302 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7303 | 235.0f, 46.0f, 178.0f, |
| 7304 | 100.0f, 123.0f, 19.0f, |
| 7305 | 172.0f, 74.0f, 250.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7306 | 6.0f, 195.0f, 80.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7307 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7308 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7309 | 113.0f, 95.0f, 202.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7310 | 77.0f, 114.0f, 71.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7311 | 122.0f, 246.0f, 166.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7312 | 82.0f, 28.0f, 37.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7313 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7314 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7315 | 56.0f, 170.0f, 162.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7316 | 194.0f, 89.0f, 254.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7317 | 12.0f, 209.0f, 200.0f, |
| 7318 | 1.0f, 64.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7319 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7320 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7321 | 67.0f, 90.0f, 49.0f, |
| 7322 | 7.0f, 163.0f, 18.0f, |
| 7323 | 25.0f, 117.0f, 103.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7324 | 247.0f, 59.0f, 189.0f, |
| 7325 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7326 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7327 | 239.0f, 104.0f, 199.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7328 | 17.0f, 124.0f, 153.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7329 | 222.0f, 217.0f, 75.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7330 | 32.0f, 126.0f, 21.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7331 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7332 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7333 | 97.0f, 145.0f, 215.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7334 | 115.0f, 116.0f, 238.0f, |
| 7335 | 226.0f, 16.0f, 132.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7336 | 92.0f, 125.0f, 88.0f |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7337 | }; |
| 7338 | std::vector<float> expectedOutputValues |
| 7339 | { |
| 7340 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7341 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7342 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7343 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 7344 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 7345 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7346 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7347 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7348 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7349 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7350 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7351 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7352 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7353 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7354 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7355 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7356 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7357 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7358 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7359 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7360 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7361 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 7362 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 7363 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7364 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 7365 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 7366 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7367 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7368 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7369 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7370 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 7371 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 7372 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7373 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7374 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7375 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7376 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 7377 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7378 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 7379 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 7380 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7381 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7382 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7383 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 7384 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 7385 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 7386 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7387 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7388 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 7389 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7390 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 7391 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 7392 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7393 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7394 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 7395 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7396 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7397 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 7398 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 7399 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7400 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7401 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 7402 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 7403 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 7404 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7405 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 7406 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7407 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7408 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7409 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7410 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7411 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7412 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 7413 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 7414 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 7415 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 7416 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 7417 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7418 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7419 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7420 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7421 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7422 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7423 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7424 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7425 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7426 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7427 | } |
| 7428 | |
| 7429 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 7430 | armnn::IWorkloadFactory& workloadFactory, |
| 7431 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7432 | const armnn::DataLayout layout) |
| 7433 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7434 | return L2Normalization4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7435 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7436 | } |
| 7437 | |
| 7438 | LayerTestResult<int16_t, 4> L2Normalization4dInt16Test( |
| 7439 | armnn::IWorkloadFactory& workloadFactory, |
| 7440 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7441 | const armnn::DataLayout layout) |
| 7442 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7443 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7444 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7445 | } |
| 7446 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7447 | LayerTestResult<uint8_t, 4> L2Normalization4dUint8Test( |
| 7448 | armnn::IWorkloadFactory& workloadFactory, |
| 7449 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7450 | const armnn::DataLayout layout) |
| 7451 | { |
| 7452 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7453 | 1.f/128, 128, layout); |
| 7454 | } |
| 7455 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7456 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7457 | LayerTestResult<T, 4> ConstantTestImpl( |
| 7458 | armnn::IWorkloadFactory& workloadFactory, |
| 7459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7460 | float qScale, |
| 7461 | int32_t qOffset) |
| 7462 | { |
| 7463 | constexpr unsigned int inputWidth = 3; |
| 7464 | constexpr unsigned int inputHeight = 4; |
| 7465 | constexpr unsigned int inputChannels = 3; |
| 7466 | constexpr unsigned int inputBatchSize = 2; |
| 7467 | |
| 7468 | constexpr unsigned int outputWidth = inputWidth; |
| 7469 | constexpr unsigned int outputHeight = inputHeight; |
| 7470 | constexpr unsigned int outputChannels = inputChannels; |
| 7471 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7472 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 7473 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7474 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7475 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 7476 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7477 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7478 | |
| 7479 | // Set quantization parameters if the requested type is a quantized type. |
| 7480 | if(armnn::IsQuantizedType<T>()) |
| 7481 | { |
| 7482 | inputTensorInfo.SetQuantizationScale(qScale); |
| 7483 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 7484 | outputTensorInfo.SetQuantizationScale(qScale); |
| 7485 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 7486 | } |
| 7487 | |
| 7488 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 7489 | QuantizedVector<T>(qScale, qOffset, { |
| 7490 | // Batch 0, Channel 0 |
| 7491 | 235.0f, 46.0f, 178.0f, |
| 7492 | 100.0f, 123.0f, 19.0f, |
| 7493 | 172.0f, 74.0f, 250.0f, |
| 7494 | 6.0f, 195.0f, 80.0f, |
| 7495 | |
| 7496 | // Batch 0, Channel 1 |
| 7497 | 113.0f, 95.0f, 202.0f, |
| 7498 | 77.0f, 114.0f, 71.0f, |
| 7499 | 122.0f, 246.0f, 166.0f, |
| 7500 | 82.0f, 28.0f, 37.0f, |
| 7501 | |
| 7502 | // Batch 0, Channel 2 |
| 7503 | 56.0f, 170.0f, 162.0f, |
| 7504 | 194.0f, 89.0f, 254.0f, |
| 7505 | 12.0f, 209.0f, 200.0f, |
| 7506 | 1.0f, 64.0f, 54.0f, |
| 7507 | |
| 7508 | // Batch 1, Channel 0 |
| 7509 | 67.0f, 90.0f, 49.0f, |
| 7510 | 7.0f, 163.0f, 18.0f, |
| 7511 | 25.0f, 117.0f, 103.0f, |
| 7512 | 247.0f, 59.0f, 189.0f, |
| 7513 | |
| 7514 | // Batch 1, Channel 1 |
| 7515 | 239.0f, 104.0f, 199.0f, |
| 7516 | 17.0f, 124.0f, 153.0f, |
| 7517 | 222.0f, 217.0f, 75.0f, |
| 7518 | 32.0f, 126.0f, 21.0f, |
| 7519 | |
| 7520 | // Batch 1, Channel 2 |
| 7521 | 97.0f, 145.0f, 215.0f, |
| 7522 | 115.0f, 116.0f, 238.0f, |
| 7523 | 226.0f, 16.0f, 132.0f, |
| 7524 | 92.0f, 125.0f, 88.0f, |
| 7525 | }))); |
| 7526 | |
| 7527 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7528 | result.outputExpected = input; |
| 7529 | |
| 7530 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7531 | |
| 7532 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 7533 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 7534 | |
| 7535 | armnn::ConstantQueueDescriptor descriptor; |
| 7536 | descriptor.m_LayerOutput = &constantTensor; |
| 7537 | |
| 7538 | armnn::WorkloadInfo info; |
| 7539 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7540 | |
| 7541 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 7542 | |
| 7543 | outputHandle->Allocate(); |
| 7544 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7545 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7546 | workload->Execute(); |
| 7547 | |
| 7548 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7549 | return result; |
| 7550 | } |
| 7551 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7552 | LayerTestResult<float, 4> ConstantTest( |
| 7553 | armnn::IWorkloadFactory& workloadFactory, |
| 7554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7555 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7556 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7557 | } |
| 7558 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 7559 | LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest( |
| 7560 | armnn::IWorkloadFactory& workloadFactory, |
| 7561 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7562 | { |
| 7563 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 7564 | } |
| 7565 | |
| 7566 | LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7567 | armnn::IWorkloadFactory& workloadFactory, |
| 7568 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7569 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7570 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7571 | } |
| 7572 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7573 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7574 | armnn::IWorkloadFactory& workloadFactory, |
| 7575 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7576 | { |
| 7577 | unsigned int outputWidth = 3; |
| 7578 | unsigned int outputHeight = 6; |
| 7579 | unsigned int outputChannels = 3; |
| 7580 | |
| 7581 | unsigned int inputWidth1 = 3; |
| 7582 | unsigned int inputHeight1 = 6; |
| 7583 | unsigned int inputChannels1 = 2; |
| 7584 | |
| 7585 | unsigned int inputWidth2 = 3; |
| 7586 | unsigned int inputHeight2 = 6; |
| 7587 | unsigned int inputChannels2 = 1; |
| 7588 | |
| 7589 | // Defines the tensor descriptors. |
| 7590 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 7591 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 7592 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 7593 | |
| 7594 | // Quantized input1 tensor. Range [-3, 1] |
| 7595 | const float inputScale1 = 0.015686f; |
| 7596 | const int32_t inputOffset1 = 192; |
| 7597 | |
| 7598 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 7599 | { |
| 7600 | 1, 2, 3, |
| 7601 | 4, 5, 6, |
| 7602 | 7, 8, 9, |
| 7603 | 10, 11, 12, |
| 7604 | 13, 14, 15, |
| 7605 | 16, 17, 18, |
| 7606 | |
| 7607 | 19, 20, 21, |
| 7608 | 22, 23, 24, |
| 7609 | 25, 26, 27, |
| 7610 | 28, 29, 30, |
| 7611 | 31, 32, 33, |
| 7612 | 34, 35, 36, |
| 7613 | }) |
| 7614 | ); |
| 7615 | |
| 7616 | // Quatized input2 tensor. Range [-1, 4] |
| 7617 | const float inputScale2 = 0.019608f; |
| 7618 | const int32_t inputOffset2 = 50; |
| 7619 | |
| 7620 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 7621 | { |
| 7622 | 37, 38, 39, |
| 7623 | 40, 41, 42, |
| 7624 | 43, 44, 45, |
| 7625 | 46, 47, 48, |
| 7626 | 49, 50, 51, |
| 7627 | 52, 53, 54, |
| 7628 | }) |
| 7629 | ); |
| 7630 | |
| 7631 | // Output has the same quantization parameters than input1, |
| 7632 | // so that only the requantization of input2 is required |
| 7633 | const float outputScale = 0.015686f; |
| 7634 | const int32_t outputOffset = 192; |
| 7635 | |
| 7636 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 7637 | |
| 7638 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 7639 | { |
| 7640 | 1, 2, 3, |
| 7641 | 4, 5, 6, |
| 7642 | 7, 8, 9, |
| 7643 | 10, 11, 12, |
| 7644 | 13, 14, 15, |
| 7645 | 16, 17, 18, |
| 7646 | |
| 7647 | 19, 20, 21, |
| 7648 | 22, 23, 24, |
| 7649 | 25, 26, 27, |
| 7650 | 28, 29, 30, |
| 7651 | 31, 32, 33, |
| 7652 | 34, 35, 36, |
| 7653 | |
| 7654 | 176, 177, 178, |
| 7655 | 179, 181, 182, |
| 7656 | 183, 184, 186, |
| 7657 | 187, 188, 189, |
| 7658 | 191, 192, 193, |
| 7659 | 195, 196, 197, |
| 7660 | }) |
| 7661 | ); |
| 7662 | |
| 7663 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 7664 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 7665 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 7666 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 7667 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 7668 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 7669 | |
| 7670 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7671 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7672 | |
| 7673 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7674 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7675 | |
| 7676 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7677 | |
| 7678 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7679 | |
| 7680 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7681 | subTensorsSupported ? |
| 7682 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7683 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7684 | |
| 7685 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7686 | subTensorsSupported ? |
| 7687 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7688 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7689 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7690 | armnn::ConcatQueueDescriptor data; |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7691 | armnn::WorkloadInfo info; |
| 7692 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7693 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 7694 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7695 | |
| 7696 | data.m_ViewOrigins.push_back(window1); |
| 7697 | data.m_ViewOrigins.push_back(window2); |
| 7698 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7699 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7700 | |
| 7701 | inputHandle1->Allocate(); |
| 7702 | inputHandle2->Allocate(); |
| 7703 | outputHandle->Allocate(); |
| 7704 | |
| 7705 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7706 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 7707 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7708 | workload->PostAllocationConfigure(); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7709 | workload->Execute(); |
| 7710 | |
| 7711 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7712 | |
| 7713 | return ret; |
| 7714 | } |
| 7715 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7716 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7717 | armnn::IWorkloadFactory& workloadFactory, |
| 7718 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7719 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7720 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7721 | unsigned int outputHeight = 6; |
| 7722 | unsigned int outputChannels = 3; |
| 7723 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7724 | unsigned int inputWidth1 = 3; |
| 7725 | unsigned int inputHeight1 = 6; |
| 7726 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7727 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7728 | unsigned int inputWidth2 = 3; |
| 7729 | unsigned int inputHeight2 = 6; |
| 7730 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7731 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7732 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7733 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 7734 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 7735 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7736 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7737 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7738 | const float scale = 0.13497836f; |
| 7739 | const int32_t offset = -7; |
| 7740 | |
| 7741 | outputTensorInfo.SetQuantizationScale(scale); |
| 7742 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7743 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7744 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7745 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7746 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7747 | |
| 7748 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 7749 | |
| 7750 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7751 | { |
| 7752 | 1, 2, 3, |
| 7753 | 4, 5, 6, |
| 7754 | 7, 8, 9, |
| 7755 | 10, 11, 12, |
| 7756 | 13, 14, 15, |
| 7757 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7758 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7759 | 19, 20, 21, |
| 7760 | 22, 23, 24, |
| 7761 | 25, 26, 27, |
| 7762 | 28, 29, 30, |
| 7763 | 31, 32, 33, |
| 7764 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7765 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7766 | 37, 38, 39, |
| 7767 | 40, 41, 42, |
| 7768 | 43, 44, 45, |
| 7769 | 46, 47, 48, |
| 7770 | 49, 50, 51, |
| 7771 | 52, 53, 54, |
| 7772 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7773 | ); |
| 7774 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7775 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 7776 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7777 | 1, 2, 3, |
| 7778 | 4, 5, 6, |
| 7779 | 7, 8, 9, |
| 7780 | 10, 11, 12, |
| 7781 | 13, 14, 15, |
| 7782 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7783 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7784 | 19, 20, 21, |
| 7785 | 22, 23, 24, |
| 7786 | 25, 26, 27, |
| 7787 | 28, 29, 30, |
| 7788 | 31, 32, 33, |
| 7789 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7790 | }) |
| 7791 | ); |
| 7792 | |
| 7793 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 7794 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7795 | 37, 38, 39, |
| 7796 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7797 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7798 | 46, 47, 48, |
| 7799 | 49, 50, 51, |
| 7800 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7801 | }) |
| 7802 | ); |
| 7803 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7804 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7805 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7806 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7807 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7808 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7809 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7810 | |
| 7811 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7812 | |
| 7813 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7814 | |
| 7815 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7816 | subTensorsSupported ? |
| 7817 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7818 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7819 | |
| 7820 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7821 | subTensorsSupported ? |
| 7822 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7823 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7824 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7825 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7826 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7827 | armnn::WorkloadInfo info; |
| 7828 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7829 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7830 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7831 | |
| 7832 | data.m_ViewOrigins.push_back(window1); |
| 7833 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7834 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7835 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7836 | |
| 7837 | inputHandle1->Allocate(); |
| 7838 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7839 | outputHandle->Allocate(); |
| 7840 | |
| 7841 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7842 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7843 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7844 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7845 | workload->Execute(); |
| 7846 | |
| 7847 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7848 | |
| 7849 | return ret; |
| 7850 | } |
| 7851 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7852 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7853 | armnn::IWorkloadFactory& workloadFactory, |
| 7854 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7855 | { |
| 7856 | unsigned int outputWidth = 3; |
| 7857 | unsigned int outputHeight = 6; |
| 7858 | unsigned int outputChannels = 3; |
| 7859 | |
| 7860 | unsigned int inputWidth1 = 3; |
| 7861 | unsigned int inputHeight1 = 6; |
| 7862 | unsigned int inputChannels1 = 2; |
| 7863 | |
| 7864 | unsigned int inputWidth2 = 3; |
| 7865 | unsigned int inputHeight2 = 6; |
| 7866 | unsigned int inputChannels2 = 1; |
| 7867 | |
| 7868 | // Defines the tensor descriptors. |
| 7869 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedSymm16); |
| 7870 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedSymm16); |
| 7871 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedSymm16); |
| 7872 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7873 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7874 | const float scale = 0.13497836f; |
| 7875 | const int32_t offset = -7; |
| 7876 | |
| 7877 | outputTensorInfo.SetQuantizationScale(scale); |
| 7878 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7879 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7880 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7881 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7882 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 7883 | |
| 7884 | LayerTestResult<uint16_t, 3> ret(outputTensorInfo); |
| 7885 | |
| 7886 | ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>( |
| 7887 | { |
| 7888 | 1, 2, 3, |
| 7889 | 4, 5, 6, |
| 7890 | 7, 8, 9, |
| 7891 | 10, 11, 12, |
| 7892 | 13, 14, 15, |
| 7893 | 16, 17, 18, |
| 7894 | |
| 7895 | 19, 20, 21, |
| 7896 | 22, 23, 24, |
| 7897 | 25, 26, 27, |
| 7898 | 28, 29, 30, |
| 7899 | 31, 32, 33, |
| 7900 | 34, 35, 36, |
| 7901 | |
| 7902 | 37, 38, 39, |
| 7903 | 40, 41, 42, |
| 7904 | 43, 44, 45, |
| 7905 | 46, 47, 48, |
| 7906 | 49, 50, 51, |
| 7907 | 52, 53, 54, |
| 7908 | })); |
| 7909 | |
| 7910 | auto input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>( |
| 7911 | { |
| 7912 | 1, 2, 3, |
| 7913 | 4, 5, 6, |
| 7914 | 7, 8, 9, |
| 7915 | 10, 11, 12, |
| 7916 | 13, 14, 15, |
| 7917 | 16, 17, 18, |
| 7918 | |
| 7919 | 19, 20, 21, |
| 7920 | 22, 23, 24, |
| 7921 | 25, 26, 27, |
| 7922 | 28, 29, 30, |
| 7923 | 31, 32, 33, |
| 7924 | 34, 35, 36, |
| 7925 | })); |
| 7926 | |
| 7927 | auto input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>( |
| 7928 | { |
| 7929 | 37, 38, 39, |
| 7930 | 40, 41, 42, |
| 7931 | 43, 44, 45, |
| 7932 | 46, 47, 48, |
| 7933 | 49, 50, 51, |
| 7934 | 52, 53, 54, |
| 7935 | })); |
| 7936 | |
| 7937 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7938 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7939 | |
| 7940 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7941 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7942 | |
| 7943 | |
| 7944 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7945 | |
| 7946 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7947 | |
| 7948 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7949 | subTensorsSupported ? |
| 7950 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7951 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7952 | |
| 7953 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7954 | subTensorsSupported ? |
| 7955 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7956 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7957 | |
| 7958 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7959 | armnn::ConcatQueueDescriptor data; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7960 | armnn::WorkloadInfo info; |
| 7961 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7962 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 7963 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7964 | |
| 7965 | data.m_ViewOrigins.push_back(window1); |
| 7966 | data.m_ViewOrigins.push_back(window2); |
| 7967 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7968 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7969 | |
| 7970 | inputHandle1->Allocate(); |
| 7971 | inputHandle2->Allocate(); |
| 7972 | outputHandle->Allocate(); |
| 7973 | |
| 7974 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7975 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 7976 | |
| 7977 | workload->PostAllocationConfigure(); |
| 7978 | workload->Execute(); |
| 7979 | |
| 7980 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7981 | |
| 7982 | return ret; |
| 7983 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7984 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7985 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7986 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7987 | template <typename T> |
| 7988 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7989 | armnn::IWorkloadFactory& workloadFactory, |
| 7990 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7991 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7992 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7993 | float scale0, |
| 7994 | int32_t offset0, |
| 7995 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7996 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7997 | float scale1, |
| 7998 | int32_t offset1, |
| 7999 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8000 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8001 | float outScale, |
| 8002 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8003 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8004 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 8005 | armnn::DataType::QuantisedAsymm8 : |
| 8006 | armnn::DataType::QuantisedSymm16); |
| 8007 | |
| 8008 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 8009 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 8010 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8011 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8012 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 8013 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8014 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8015 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 8016 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8017 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8018 | outputTensorInfo.SetQuantizationScale(outScale); |
| 8019 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8020 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8021 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 8022 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8023 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8024 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 8025 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 8026 | |
| 8027 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 8028 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 8029 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8030 | |
| 8031 | armnn::AdditionQueueDescriptor data; |
| 8032 | armnn::WorkloadInfo info; |
| 8033 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 8034 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 8035 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8036 | |
| 8037 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 8038 | |
| 8039 | inputHandle0->Allocate(); |
| 8040 | inputHandle1->Allocate(); |
| 8041 | outputHandle->Allocate(); |
| 8042 | |
| 8043 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 8044 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 8045 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8046 | workload->PostAllocationConfigure(); |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8047 | workload->Execute(); |
| 8048 | |
| 8049 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8050 | |
| 8051 | return result; |
| 8052 | } |
| 8053 | } // anonymous namespace |
| 8054 | |
| 8055 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 8056 | armnn::IWorkloadFactory& workloadFactory, |
| 8057 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8058 | { |
| 8059 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8060 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 8061 | |
| 8062 | std::vector<uint8_t> input0( |
| 8063 | { |
| 8064 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 8065 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 8066 | }); |
| 8067 | |
| 8068 | std::vector<uint8_t> input1( |
| 8069 | { |
| 8070 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 8071 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 8072 | }); |
| 8073 | |
| 8074 | std::vector<uint8_t> output( |
| 8075 | { |
| 8076 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 8077 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 8078 | }); |
| 8079 | |
| 8080 | return AdditionQuantizeTestHelper(workloadFactory, |
| 8081 | memoryManager, |
| 8082 | shape0, input0, 7.0f, 3, |
| 8083 | shape1, input1, 7.0f, 3, |
| 8084 | shape0, output, 7.0f, 3); |
| 8085 | } |
| 8086 | |
| 8087 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 8088 | armnn::IWorkloadFactory& workloadFactory, |
| 8089 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8090 | { |
| 8091 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8092 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 8093 | |
| 8094 | std::vector<int16_t> input0( |
| 8095 | { |
| 8096 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 8097 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 8098 | }); |
| 8099 | |
| 8100 | std::vector<int16_t> input1( |
| 8101 | { |
| 8102 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 8103 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 8104 | }); |
| 8105 | |
| 8106 | std::vector<int16_t> output( |
| 8107 | { |
| 8108 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 8109 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 8110 | }); |
| 8111 | |
| 8112 | return AdditionQuantizeTestHelper(workloadFactory, |
| 8113 | memoryManager, |
| 8114 | shape0, input0, 7.0f, 0, |
| 8115 | shape1, input1, 7.0f, 0, |
| 8116 | shape0, output, 7.0f, 0); |
| 8117 | } |
| 8118 | |
| 8119 | namespace |
| 8120 | { |
| 8121 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 8122 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 8123 | armnn::IWorkloadFactory& workloadFactory, |
| 8124 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8125 | const unsigned int shape0[4], |
| 8126 | const std::vector<T> & values0, |
| 8127 | float scale0, |
| 8128 | int32_t offset0, |
| 8129 | const unsigned int shape1[4], |
| 8130 | const std::vector<T> & values1, |
| 8131 | float scale1, |
| 8132 | int32_t offset1, |
| 8133 | const unsigned int outShape[4], |
| 8134 | const std::vector<T> & outValues, |
| 8135 | float outScale, |
| 8136 | int32_t outOffset) |
| 8137 | { |
| 8138 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 8139 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 8140 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 8141 | |
| 8142 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 8143 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 8144 | |
| 8145 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 8146 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 8147 | |
| 8148 | outputTensorInfo.SetQuantizationScale(outScale); |
| 8149 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 8150 | |
| 8151 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 8152 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 8153 | |
| 8154 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 8155 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8156 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8157 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8158 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8159 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8160 | |
| 8161 | armnn::MultiplicationQueueDescriptor data; |
| 8162 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8163 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 8164 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8165 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8166 | |
| 8167 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 8168 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8169 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8170 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8171 | outputHandle->Allocate(); |
| 8172 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8173 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8174 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8175 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8176 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8177 | workload->Execute(); |
| 8178 | |
| 8179 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8180 | |
| 8181 | return result; |
| 8182 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8183 | } // anonymous namespace |
| 8184 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8185 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 8186 | armnn::IWorkloadFactory& workloadFactory, |
| 8187 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8188 | { |
| 8189 | unsigned int batchSize = 1; |
| 8190 | unsigned int channels = 2; |
| 8191 | unsigned int height = 2; |
| 8192 | unsigned int width = 3; |
| 8193 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 8194 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 8195 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8196 | std::vector<uint8_t> input0({ |
| 8197 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 8198 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 8199 | }); |
| 8200 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 8201 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8202 | std::vector<uint8_t> input1({ |
| 8203 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 8204 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 8205 | }); |
| 8206 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 8207 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8208 | std::vector<uint8_t> output( |
| 8209 | { |
| 8210 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 8211 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 8212 | }); |
| 8213 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8214 | // Scale/offset chosen to have output values out of range. |
| 8215 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8216 | memoryManager, |
| 8217 | shape, |
| 8218 | input0, |
| 8219 | 4.0f, |
| 8220 | 1, |
| 8221 | shape, |
| 8222 | input1, |
| 8223 | 3.0f, |
| 8224 | -2, |
| 8225 | shape, |
| 8226 | output, |
| 8227 | 1366.255f, |
| 8228 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8229 | } |
| 8230 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8231 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 8232 | armnn::IWorkloadFactory& workloadFactory, |
| 8233 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8234 | { |
| 8235 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8236 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8237 | |
| 8238 | std::vector<uint8_t> input0({ |
| 8239 | 1, 2, 3, 4, 5, 6, |
| 8240 | 7, 8, 9, 10, 11, 12 |
| 8241 | }); |
| 8242 | |
| 8243 | std::vector<uint8_t> input1({2}); |
| 8244 | |
| 8245 | std::vector<uint8_t> output({ |
| 8246 | 2, 4, 6, 8, 10, 12, |
| 8247 | 14, 16, 18, 20, 22, 24 |
| 8248 | }); |
| 8249 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8250 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8251 | memoryManager, |
| 8252 | shape0, |
| 8253 | input0, |
| 8254 | 1.0f, |
| 8255 | 0, |
| 8256 | shape1, |
| 8257 | input1, |
| 8258 | 1.0f, |
| 8259 | 0, |
| 8260 | shape0, |
| 8261 | output, |
| 8262 | 1.0f, |
| 8263 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8264 | } |
| 8265 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8266 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 8267 | armnn::IWorkloadFactory& workloadFactory, |
| 8268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8269 | { |
| 8270 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8271 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 8272 | |
| 8273 | std::vector<uint8_t> input0({ |
| 8274 | 1, 2, 3, 4, 5, 6, |
| 8275 | 7, 8, 9, 10, 11, 12 |
| 8276 | }); |
| 8277 | |
| 8278 | std::vector<uint8_t> input1({1, 2, 3}); |
| 8279 | |
| 8280 | std::vector<uint8_t> output({ |
| 8281 | 1, 4, 9, 4, 10, 18, |
| 8282 | 7, 16, 27, 10, 22, 36 |
| 8283 | }); |
| 8284 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8285 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8286 | memoryManager, |
| 8287 | shape0, |
| 8288 | input0, |
| 8289 | 1.0f, |
| 8290 | 0, |
| 8291 | shape1, |
| 8292 | input1, |
| 8293 | 1.0f, |
| 8294 | 0, |
| 8295 | shape0, |
| 8296 | output, |
| 8297 | 1.0f, |
| 8298 | 0); |
| 8299 | } |
| 8300 | |
| 8301 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 8302 | armnn::IWorkloadFactory& workloadFactory, |
| 8303 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8304 | { |
| 8305 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 8306 | |
| 8307 | std::vector<int16_t> input0( |
| 8308 | { |
| 8309 | 6, 7, 8, 9, 10, 11, |
| 8310 | 12, 13, 14, 15, 16, 17 |
| 8311 | }); |
| 8312 | |
| 8313 | std::vector<int16_t> input1( |
| 8314 | { |
| 8315 | 1, 2, 3, 4, 5, 6, |
| 8316 | 7, 8, 9, 10, 11, 12 |
| 8317 | }); |
| 8318 | |
| 8319 | std::vector<int16_t> output( |
| 8320 | { |
| 8321 | 6, 14, 24, 36, 50, 66, |
| 8322 | 84, 104, 126, 150, 176, 204 |
| 8323 | }); |
| 8324 | |
| 8325 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8326 | memoryManager, |
| 8327 | shape, |
| 8328 | input0, |
| 8329 | 1.0f, |
| 8330 | 0, |
| 8331 | shape, |
| 8332 | input1, |
| 8333 | 1.0f, |
| 8334 | 0, |
| 8335 | shape, |
| 8336 | output, |
| 8337 | 1.0f, |
| 8338 | 0); |
| 8339 | } |
| 8340 | |
| 8341 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 8342 | armnn::IWorkloadFactory& workloadFactory, |
| 8343 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8344 | { |
| 8345 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8346 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8347 | |
| 8348 | std::vector<int16_t> input0( |
| 8349 | { |
| 8350 | 1, 2, 3, 4, 5, 6, |
| 8351 | 7, 8, 9, 10, 11, 12 |
| 8352 | }); |
| 8353 | |
| 8354 | std::vector<int16_t> input1({2}); |
| 8355 | |
| 8356 | std::vector<int16_t> output( |
| 8357 | { |
| 8358 | 2, 4, 6, 8, 10, 12, |
| 8359 | 14, 16, 18, 20, 22, 24 |
| 8360 | }); |
| 8361 | |
| 8362 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8363 | memoryManager, |
| 8364 | shape0, |
| 8365 | input0, |
| 8366 | 1.0f, |
| 8367 | 0, |
| 8368 | shape1, |
| 8369 | input1, |
| 8370 | 1.0f, |
| 8371 | 0, |
| 8372 | shape0, |
| 8373 | output, |
| 8374 | 1.0f, |
| 8375 | 0); |
| 8376 | } |
| 8377 | |
| 8378 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 8379 | armnn::IWorkloadFactory& workloadFactory, |
| 8380 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8381 | { |
| 8382 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8383 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 8384 | |
| 8385 | std::vector<int16_t> input0( |
| 8386 | { |
| 8387 | 1, 2, 3, 4, 5, 6, |
| 8388 | 7, 8, 9, 10, 11, 12 |
| 8389 | }); |
| 8390 | |
| 8391 | std::vector<int16_t> input1({1, 2, 3}); |
| 8392 | |
| 8393 | std::vector<int16_t> output( |
| 8394 | { |
| 8395 | 1, 4, 9, 4, 10, 18, |
| 8396 | 7, 16, 27, 10, 22, 36 |
| 8397 | }); |
| 8398 | |
| 8399 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8400 | memoryManager, |
| 8401 | shape0, |
| 8402 | input0, |
| 8403 | 1.0f, |
| 8404 | 0, |
| 8405 | shape1, |
| 8406 | input1, |
| 8407 | 1.0f, |
| 8408 | 0, |
| 8409 | shape0, |
| 8410 | output, |
| 8411 | 1.0f, |
| 8412 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8413 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8414 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8415 | namespace |
| 8416 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8417 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8418 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 8419 | armnn::IWorkloadFactory& workloadFactory, |
| 8420 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8421 | const unsigned int shape0[4], |
| 8422 | const std::vector<T>& values0, |
| 8423 | float scale0, |
| 8424 | int32_t offset0, |
| 8425 | const unsigned int shape1[4], |
| 8426 | const std::vector<T> & values1, |
| 8427 | float scale1, |
| 8428 | int32_t offset1, |
| 8429 | const unsigned int outShape[4], |
| 8430 | const std::vector<T> & outValues, |
| 8431 | float outScale, |
| 8432 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8433 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8434 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 8435 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 8436 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8437 | |
| 8438 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 8439 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 8440 | |
| 8441 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 8442 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 8443 | |
| 8444 | outputTensorInfo.SetQuantizationScale(outScale); |
| 8445 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 8446 | |
| 8447 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 8448 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 8449 | |
| 8450 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 8451 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 8452 | |
| 8453 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 8454 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 8455 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8456 | |
| 8457 | armnn::SubtractionQueueDescriptor data; |
| 8458 | armnn::WorkloadInfo info; |
| 8459 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 8460 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 8461 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8462 | |
| 8463 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 8464 | |
| 8465 | inputHandle0->Allocate(); |
| 8466 | inputHandle1->Allocate(); |
| 8467 | outputHandle->Allocate(); |
| 8468 | |
| 8469 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 8470 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 8471 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8472 | workload->PostAllocationConfigure(); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8473 | workload->Execute(); |
| 8474 | |
| 8475 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8476 | |
| 8477 | return result; |
| 8478 | } |
| 8479 | } // anonymous namespace |
| 8480 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8481 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 8482 | armnn::IWorkloadFactory& workloadFactory, |
| 8483 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8484 | { |
| 8485 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8486 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 8487 | |
| 8488 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 8489 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 8490 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 8491 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8492 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8493 | memoryManager, |
| 8494 | shape0, input0, 0.5f, 2, |
| 8495 | shape1, input1, 1.0f, 0, |
| 8496 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8497 | } |
| 8498 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8499 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 8500 | armnn::IWorkloadFactory& workloadFactory, |
| 8501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8502 | { |
| 8503 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8504 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8505 | |
| 8506 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 8507 | std::vector<uint8_t> input1({ 2 }); |
| 8508 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 8509 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8510 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8511 | memoryManager, |
| 8512 | shape0, input0, 0.5f, 2, |
| 8513 | shape1, input1, 1.0f, 0, |
| 8514 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8515 | } |
| 8516 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8517 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 8518 | armnn::IWorkloadFactory& workloadFactory, |
| 8519 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8520 | { |
| 8521 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8522 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 8523 | |
| 8524 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 8525 | std::vector<uint8_t> input1({ 2, 1 }); |
| 8526 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 8527 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8528 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8529 | memoryManager, |
| 8530 | shape0, input0, 1.0f, 0, |
| 8531 | shape1, input1, 1.0f, 0, |
| 8532 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8533 | } |
| 8534 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8535 | LayerTestResult<float, 4> SubtractionTest( |
| 8536 | armnn::IWorkloadFactory& workloadFactory, |
| 8537 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8538 | { |
| 8539 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8540 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 8541 | |
| 8542 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 8543 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 8544 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 8545 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8546 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 8547 | memoryManager, |
| 8548 | shape0, input0, 1.0f, 0, |
| 8549 | shape1, input1, 1.0f, 0, |
| 8550 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8551 | } |
| 8552 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8553 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 8554 | armnn::IWorkloadFactory& workloadFactory, |
| 8555 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8556 | { |
| 8557 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8558 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8559 | |
| 8560 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 8561 | std::vector<float> input1({ 10 }); |
| 8562 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 8563 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8564 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 8565 | memoryManager, |
| 8566 | shape0, input0, 1.0f, 0, |
| 8567 | shape1, input1, 1.0f, 0, |
| 8568 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8569 | } |
| 8570 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8571 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 8572 | armnn::IWorkloadFactory& workloadFactory, |
| 8573 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8574 | { |
| 8575 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8576 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 8577 | |
| 8578 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 8579 | std::vector<float> input1({ 10, -5 }); |
| 8580 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 8581 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8582 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 8583 | memoryManager, |
| 8584 | shape0, input0, 1.0f, 0, |
| 8585 | shape1, input1, 1.0f, 0, |
| 8586 | shape0, output, 1.0f, 0); |
| 8587 | } |
| 8588 | |
| 8589 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 8590 | armnn::IWorkloadFactory& workloadFactory, |
| 8591 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8592 | { |
| 8593 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8594 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 8595 | |
| 8596 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8597 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 8598 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 8599 | |
| 8600 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8601 | memoryManager, |
| 8602 | shape0, input0, 0.5f, 0, |
| 8603 | shape1, input1, 1.0f, 0, |
| 8604 | shape0, output, 1.0f, 0); |
| 8605 | } |
| 8606 | |
| 8607 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 8608 | armnn::IWorkloadFactory& workloadFactory, |
| 8609 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8610 | { |
| 8611 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8612 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8613 | |
| 8614 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8615 | std::vector<int16_t> input1({ 2 }); |
| 8616 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 8617 | |
| 8618 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8619 | memoryManager, |
| 8620 | shape0, input0, 0.5f, 0, |
| 8621 | shape1, input1, 1.0f, 0, |
| 8622 | shape0, output, 1.0f, 0); |
| 8623 | } |
| 8624 | |
| 8625 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 8626 | armnn::IWorkloadFactory& workloadFactory, |
| 8627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8628 | { |
| 8629 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8630 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 8631 | |
| 8632 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8633 | std::vector<int16_t> input1({ 2, 1 }); |
| 8634 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 8635 | |
| 8636 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8637 | memoryManager, |
| 8638 | shape0, input0, 1.0f, 0, |
| 8639 | shape1, input1, 1.0f, 0, |
| 8640 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8641 | } |
| 8642 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8643 | LayerTestResult<float, 4> BatchNormTest( |
| 8644 | armnn::IWorkloadFactory& workloadFactory, |
| 8645 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8646 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8647 | // BatchSize: 1 |
| 8648 | // Channels: 2 |
| 8649 | // Height: 3 |
| 8650 | // Width: 2 |
| 8651 | |
| 8652 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8653 | std::vector<float> inputValues |
| 8654 | { |
| 8655 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8656 | 1.f, 4.f, |
| 8657 | 4.f, 2.f, |
| 8658 | 1.f, 6.f, |
| 8659 | |
| 8660 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8661 | 1.f, 1.f, |
| 8662 | 4.f, 1.f, |
| 8663 | -2.f, 4.f |
| 8664 | }; |
| 8665 | std::vector<float> expectedOutputValues |
| 8666 | { |
| 8667 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8668 | 1.f, 4.f, |
| 8669 | 4.f, 2.f, |
| 8670 | 1.f, 6.f, |
| 8671 | |
| 8672 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8673 | 3.f, 3.f, |
| 8674 | 4.f, 3.f, |
| 8675 | 2.f, 4.f |
| 8676 | }; |
| 8677 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8678 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8679 | workloadFactory, memoryManager, |
| 8680 | inputOutputShape, inputValues, expectedOutputValues, |
| 8681 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8682 | } |
| 8683 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8684 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 8685 | armnn::IWorkloadFactory& workloadFactory, |
| 8686 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8687 | { |
| 8688 | // BatchSize: 1 |
| 8689 | // Height: 3 |
| 8690 | // Width: 2 |
| 8691 | // Channels: 2 |
| 8692 | |
| 8693 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8694 | std::vector<float> inputValues |
| 8695 | { |
| 8696 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8697 | 1.f, 1.f, |
| 8698 | 4.f, 1.f, |
| 8699 | |
| 8700 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8701 | 4.f, 4.f, |
| 8702 | 2.f, 1.f, |
| 8703 | |
| 8704 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8705 | 1.f, -2.f, |
| 8706 | 6.f, 4.f |
| 8707 | }; |
| 8708 | std::vector<float> expectedOutputValues |
| 8709 | { |
| 8710 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8711 | 1.f, 3.f, |
| 8712 | 4.f, 3.f, |
| 8713 | |
| 8714 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8715 | 4.f, 4.f, |
| 8716 | 2.f, 3.f, |
| 8717 | |
| 8718 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8719 | 1.f, 2.f, |
| 8720 | 6.f, 4.f |
| 8721 | }; |
| 8722 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8723 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8724 | workloadFactory, memoryManager, |
| 8725 | inputOutputShape, inputValues, expectedOutputValues, |
| 8726 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8727 | } |
| 8728 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8729 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 8730 | armnn::IWorkloadFactory& workloadFactory, |
| 8731 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8732 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8733 | // BatchSize: 1 |
| 8734 | // Channels: 2 |
| 8735 | // Height: 3 |
| 8736 | // Width: 2 |
| 8737 | |
| 8738 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8739 | std::vector<float> inputValues |
| 8740 | { |
| 8741 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8742 | 1.f, 4.f, |
| 8743 | 4.f, 2.f, |
| 8744 | 1.f, 6.f, |
| 8745 | |
| 8746 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8747 | 1.f, 1.f, |
| 8748 | 4.f, 1.f, |
| 8749 | -2.f, 4.f |
| 8750 | }; |
| 8751 | std::vector<float> expectedOutputValues |
| 8752 | { |
| 8753 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8754 | 1.f, 4.f, |
| 8755 | 4.f, 2.f, |
| 8756 | 1.f, 6.f, |
| 8757 | |
| 8758 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8759 | 3.f, 3.f, |
| 8760 | 4.f, 3.f, |
| 8761 | 2.f, 4.f |
| 8762 | }; |
| 8763 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8764 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8765 | workloadFactory, memoryManager, |
| 8766 | inputOutputShape, inputValues, expectedOutputValues, |
| 8767 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8768 | } |
| 8769 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8770 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 8771 | armnn::IWorkloadFactory& workloadFactory, |
| 8772 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8773 | { |
| 8774 | // BatchSize: 1 |
| 8775 | // Height: 3 |
| 8776 | // Width: 2 |
| 8777 | // Channels: 2 |
| 8778 | |
| 8779 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8780 | std::vector<float> inputValues |
| 8781 | { |
| 8782 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8783 | 1.f, 1.f, |
| 8784 | 4.f, 1.f, |
| 8785 | |
| 8786 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8787 | 4.f, 4.f, |
| 8788 | 2.f, 1.f, |
| 8789 | |
| 8790 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8791 | 1.f, -2.f, |
| 8792 | 6.f, 4.f |
| 8793 | }; |
| 8794 | std::vector<float> expectedOutputValues |
| 8795 | { |
| 8796 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8797 | 1.f, 3.f, |
| 8798 | 4.f, 3.f, |
| 8799 | |
| 8800 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8801 | 4.f, 4.f, |
| 8802 | 2.f, 3.f, |
| 8803 | |
| 8804 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8805 | 1.f, 2.f, |
| 8806 | 6.f, 4.f |
| 8807 | }; |
| 8808 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8809 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 8810 | (workloadFactory, memoryManager, |
| 8811 | inputOutputShape, inputValues, expectedOutputValues, |
| 8812 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8813 | } |
| 8814 | |
Matteo Martincigh | f550713 | 2019-06-04 10:59:47 +0100 | [diff] [blame] | 8815 | LayerTestResult<int16_t, 4> BatchNormInt16Test( |
| 8816 | armnn::IWorkloadFactory& workloadFactory, |
| 8817 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8818 | { |
| 8819 | // BatchSize: 1 |
| 8820 | // Channels: 2 |
| 8821 | // Height: 3 |
| 8822 | // Width: 2 |
| 8823 | |
| 8824 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8825 | std::vector<float> inputValues |
| 8826 | { |
| 8827 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8828 | 1.f, 4.f, |
| 8829 | 4.f, 2.f, |
| 8830 | 1.f, 6.f, |
| 8831 | |
| 8832 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8833 | 1.f, 1.f, |
| 8834 | 4.f, 1.f, |
| 8835 | -2.f, 4.f |
| 8836 | }; |
| 8837 | std::vector<float> expectedOutputValues |
| 8838 | { |
| 8839 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8840 | 1.f, 4.f, |
| 8841 | 4.f, 2.f, |
| 8842 | 1.f, 6.f, |
| 8843 | |
| 8844 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8845 | 3.f, 3.f, |
| 8846 | 4.f, 3.f, |
| 8847 | 2.f, 4.f |
| 8848 | }; |
| 8849 | |
| 8850 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16>( |
| 8851 | workloadFactory, memoryManager, |
| 8852 | inputOutputShape, inputValues, expectedOutputValues, |
| 8853 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
| 8854 | } |
| 8855 | |
| 8856 | LayerTestResult<int16_t, 4> BatchNormInt16NhwcTest( |
| 8857 | armnn::IWorkloadFactory& workloadFactory, |
| 8858 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8859 | { |
| 8860 | // BatchSize: 1 |
| 8861 | // Height: 3 |
| 8862 | // Width: 2 |
| 8863 | // Channels: 2 |
| 8864 | |
| 8865 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8866 | std::vector<float> inputValues |
| 8867 | { |
| 8868 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8869 | 1.f, 1.f, |
| 8870 | 4.f, 1.f, |
| 8871 | |
| 8872 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8873 | 4.f, 4.f, |
| 8874 | 2.f, 1.f, |
| 8875 | |
| 8876 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8877 | 1.f, -2.f, |
| 8878 | 6.f, 4.f |
| 8879 | }; |
| 8880 | std::vector<float> expectedOutputValues |
| 8881 | { |
| 8882 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8883 | 1.f, 3.f, |
| 8884 | 4.f, 3.f, |
| 8885 | |
| 8886 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8887 | 4.f, 4.f, |
| 8888 | 2.f, 3.f, |
| 8889 | |
| 8890 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8891 | 1.f, 2.f, |
| 8892 | 6.f, 4.f |
| 8893 | }; |
| 8894 | |
| 8895 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16> |
| 8896 | (workloadFactory, memoryManager, |
| 8897 | inputOutputShape, inputValues, expectedOutputValues, |
| 8898 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
| 8899 | } |
| 8900 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8901 | LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8902 | armnn::IWorkloadFactory& workloadFactory, |
| 8903 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8904 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8905 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8906 | } |
| 8907 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8908 | LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest( |
| 8909 | armnn::IWorkloadFactory& workloadFactory, |
| 8910 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8911 | { |
| 8912 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 2e-6f, 1); |
| 8913 | } |
| 8914 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8915 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 8916 | armnn::IWorkloadFactory& workloadFactory, |
| 8917 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8918 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8919 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8920 | } |
| 8921 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8922 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 8923 | armnn::IWorkloadFactory& workloadFactory, |
| 8924 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8925 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8926 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8927 | } |
| 8928 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8929 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 8930 | armnn::IWorkloadFactory& workloadFactory, |
| 8931 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8932 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8933 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8934 | } |
| 8935 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8936 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 8937 | armnn::IWorkloadFactory& workloadFactory, |
| 8938 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8939 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8940 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8941 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8942 | } |
| 8943 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8944 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 8945 | armnn::IWorkloadFactory& workloadFactory, |
| 8946 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8947 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8948 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8949 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8950 | } |
| 8951 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8952 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 8953 | armnn::IWorkloadFactory& workloadFactory, |
| 8954 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8955 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8956 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8957 | } |
| 8958 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8959 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 8960 | armnn::IWorkloadFactory& workloadFactory, |
| 8961 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8962 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8963 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8964 | } |
| 8965 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8966 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 8967 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8968 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8969 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8970 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8971 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8972 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8973 | } |
| 8974 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8975 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 8976 | armnn::IWorkloadFactory& workloadFactory, |
| 8977 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8978 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8979 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8980 | } |
| 8981 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8982 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 8983 | armnn::IWorkloadFactory& workloadFactory, |
| 8984 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8985 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8986 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8987 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8988 | } |
| 8989 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8990 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 8991 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8992 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8993 | bool useSubtensor) |
| 8994 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8995 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8996 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8997 | } |
| 8998 | |
| 8999 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 9000 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9001 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9002 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9003 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9004 | } |
| 9005 | |
| 9006 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 9007 | armnn::IWorkloadFactory& workloadFactory, |
| 9008 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9009 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9010 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9011 | } |
| 9012 | |
| 9013 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 9014 | armnn::IWorkloadFactory& workloadFactory, |
| 9015 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9016 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9017 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9018 | } |
| 9019 | |
| 9020 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 9021 | armnn::IWorkloadFactory& workloadFactory, |
| 9022 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 9023 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9024 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9025 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9026 | } |
| 9027 | |
| 9028 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 9029 | armnn::IWorkloadFactory& workloadFactory, |
| 9030 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9031 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9032 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9033 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9034 | } |
| 9035 | |
| 9036 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 9037 | armnn::IWorkloadFactory& workloadFactory, |
| 9038 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9039 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9040 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9041 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9042 | } |
| 9043 | |
| 9044 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 9045 | armnn::IWorkloadFactory& workloadFactory, |
| 9046 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9047 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9048 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9049 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9050 | } |
| 9051 | |
| 9052 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 9053 | armnn::IWorkloadFactory& workloadFactory, |
| 9054 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9055 | bool useSubtensor) |
| 9056 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9057 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9058 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9059 | } |
| 9060 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9061 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 9062 | armnn::IWorkloadFactory& workloadFactory, |
| 9063 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9064 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9065 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9066 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 9067 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9068 | } |
| 9069 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9070 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 9071 | armnn::IWorkloadFactory& workloadFactory, |
| 9072 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9073 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9074 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9075 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9076 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9077 | } |
| 9078 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9079 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test( |
| 9080 | armnn::IWorkloadFactory& workloadFactory, |
| 9081 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9082 | bool forceNoPadding) |
| 9083 | { |
| 9084 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9085 | workloadFactory, memoryManager, forceNoPadding); |
| 9086 | } |
| 9087 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9088 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 9089 | armnn::IWorkloadFactory& workloadFactory, |
| 9090 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9091 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9092 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9093 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 9094 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9095 | } |
| 9096 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9097 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 9098 | armnn::IWorkloadFactory& workloadFactory, |
| 9099 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9100 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9101 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9102 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9103 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9104 | } |
| 9105 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9106 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test( |
| 9107 | armnn::IWorkloadFactory& workloadFactory, |
| 9108 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9109 | bool forceNoPadding) |
| 9110 | { |
| 9111 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9112 | workloadFactory, memoryManager, forceNoPadding); |
| 9113 | } |
| 9114 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9115 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 9116 | armnn::IWorkloadFactory& workloadFactory, |
| 9117 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9118 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9119 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9120 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9121 | } |
| 9122 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9123 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 9124 | armnn::IWorkloadFactory& workloadFactory, |
| 9125 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9126 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 9127 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9128 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 9129 | } |
| 9130 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9131 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test( |
| 9132 | armnn::IWorkloadFactory& workloadFactory, |
| 9133 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9134 | const armnn::DataLayout dataLayout) |
| 9135 | { |
| 9136 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 9137 | } |
| 9138 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 9139 | armnn::IWorkloadFactory& workloadFactory, |
| 9140 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9141 | { |
| 9142 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9143 | } |
| 9144 | |
| 9145 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 9146 | armnn::IWorkloadFactory& workloadFactory, |
| 9147 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9148 | { |
| 9149 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9150 | workloadFactory, memoryManager, 1.0f, -5); |
| 9151 | } |
| 9152 | |
| 9153 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test( |
| 9154 | armnn::IWorkloadFactory& workloadFactory, |
| 9155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9156 | { |
| 9157 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9158 | workloadFactory, memoryManager); |
| 9159 | } |
| 9160 | |
| 9161 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 9162 | armnn::IWorkloadFactory& workloadFactory, |
| 9163 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9164 | { |
| 9165 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9166 | } |
| 9167 | |
| 9168 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 9169 | armnn::IWorkloadFactory& workloadFactory, |
| 9170 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9171 | { |
| 9172 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9173 | workloadFactory, memoryManager, 1.0f, -5); |
| 9174 | } |
| 9175 | |
| 9176 | LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test( |
| 9177 | armnn::IWorkloadFactory& workloadFactory, |
| 9178 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9179 | { |
| 9180 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9181 | workloadFactory, memoryManager); |
| 9182 | } |
| 9183 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9184 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 9185 | armnn::IWorkloadFactory& workloadFactory, |
| 9186 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9187 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9188 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9189 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 9190 | } |
| 9191 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9192 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 9193 | armnn::IWorkloadFactory& workloadFactory, |
| 9194 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9195 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 9196 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9197 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9198 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9199 | } |
| 9200 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9201 | LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test( |
| 9202 | armnn::IWorkloadFactory& workloadFactory, |
| 9203 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9204 | const armnn::DataLayout dataLayout) |
| 9205 | { |
| 9206 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9207 | workloadFactory, memoryManager, dataLayout); |
| 9208 | } |
| 9209 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9210 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 9211 | armnn::IWorkloadFactory& workloadFactory, |
| 9212 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9213 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 9214 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9215 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9216 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 9217 | } |
| 9218 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9219 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 9220 | armnn::IWorkloadFactory& workloadFactory, |
| 9221 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9222 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9223 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9224 | } |
| 9225 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9226 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 9227 | armnn::IWorkloadFactory& workloadFactory, |
| 9228 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9229 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9230 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9231 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9232 | } |
| 9233 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9234 | LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test( |
| 9235 | armnn::IWorkloadFactory& workloadFactory, |
| 9236 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9237 | { |
| 9238 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9239 | workloadFactory, memoryManager); |
| 9240 | } |
| 9241 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 9242 | armnn::IWorkloadFactory& workloadFactory, |
| 9243 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9244 | { |
| 9245 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9246 | } |
| 9247 | |
| 9248 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 9249 | armnn::IWorkloadFactory& workloadFactory, |
| 9250 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9251 | { |
| 9252 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9253 | workloadFactory, memoryManager); |
| 9254 | } |
| 9255 | |
| 9256 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test( |
| 9257 | armnn::IWorkloadFactory& workloadFactory, |
| 9258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9259 | { |
| 9260 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9261 | workloadFactory, memoryManager); |
| 9262 | } |
| 9263 | |
| 9264 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 9265 | armnn::IWorkloadFactory& workloadFactory, |
| 9266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9267 | { |
| 9268 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 9269 | workloadFactory, memoryManager); |
| 9270 | } |
| 9271 | |
| 9272 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
| 9273 | armnn::IWorkloadFactory& workloadFactory, |
| 9274 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9275 | { |
| 9276 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9277 | workloadFactory, memoryManager); |
| 9278 | } |
| 9279 | |
| 9280 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test( |
| 9281 | armnn::IWorkloadFactory& workloadFactory, |
| 9282 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9283 | { |
| 9284 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9285 | workloadFactory, memoryManager); |
| 9286 | } |
| 9287 | |
| 9288 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 9289 | armnn::IWorkloadFactory& workloadFactory, |
| 9290 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9291 | { |
| 9292 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9293 | } |
| 9294 | |
| 9295 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 9296 | armnn::IWorkloadFactory& workloadFactory, |
| 9297 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9298 | { |
| 9299 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9300 | workloadFactory, memoryManager); |
| 9301 | } |
| 9302 | |
| 9303 | LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test( |
| 9304 | armnn::IWorkloadFactory& workloadFactory, |
| 9305 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9306 | { |
| 9307 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9308 | workloadFactory, memoryManager); |
| 9309 | } |
| 9310 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9311 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 9312 | armnn::IWorkloadFactory& workloadFactory, |
| 9313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9314 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9315 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9316 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9317 | } |
| 9318 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9319 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 9320 | armnn::IWorkloadFactory& workloadFactory, |
| 9321 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9322 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9323 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9324 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9325 | } |
| 9326 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9327 | LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test( |
| 9328 | armnn::IWorkloadFactory& workloadFactory, |
| 9329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9330 | const armnn::DataLayout dataLayout) |
| 9331 | { |
| 9332 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 9333 | } |
| 9334 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9335 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 9336 | armnn::IWorkloadFactory& workloadFactory, |
| 9337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9338 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9339 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9340 | } |
| 9341 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9342 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 9343 | armnn::IWorkloadFactory& workloadFactory, |
| 9344 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9345 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9346 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9347 | } |
| 9348 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9349 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test( |
| 9350 | armnn::IWorkloadFactory& workloadFactory, |
| 9351 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9352 | { |
| 9353 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9354 | } |
| 9355 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9356 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 9357 | armnn::IWorkloadFactory& workloadFactory, |
| 9358 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9359 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9360 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9361 | } |
| 9362 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9363 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 9364 | armnn::IWorkloadFactory& workloadFactory, |
| 9365 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9366 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9367 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9368 | } |
| 9369 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9370 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test( |
| 9371 | armnn::IWorkloadFactory& workloadFactory, |
| 9372 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9373 | { |
| 9374 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9375 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9376 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 9377 | armnn::IWorkloadFactory& workloadFactory, |
| 9378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9379 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9380 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9381 | } |
| 9382 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9383 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 9384 | armnn::IWorkloadFactory& workloadFactory, |
| 9385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9386 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9387 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9388 | } |
| 9389 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9390 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test( |
| 9391 | armnn::IWorkloadFactory& workloadFactory, |
| 9392 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9393 | { |
| 9394 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9395 | } |
| 9396 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9397 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 9398 | armnn::IWorkloadFactory& workloadFactory, |
| 9399 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9400 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9401 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9402 | } |
| 9403 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9404 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 9405 | armnn::IWorkloadFactory& workloadFactory, |
| 9406 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9407 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9408 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9409 | } |
| 9410 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9411 | LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test( |
| 9412 | armnn::IWorkloadFactory& workloadFactory, |
| 9413 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9414 | { |
| 9415 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9416 | } |
| 9417 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9418 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 9419 | armnn::IWorkloadFactory& workloadFactory, |
| 9420 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9421 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9422 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9423 | } |
| 9424 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9425 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 9426 | armnn::IWorkloadFactory& workloadFactory, |
| 9427 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9428 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9429 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9430 | } |
| 9431 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9432 | LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test( |
| 9433 | armnn::IWorkloadFactory& workloadFactory, |
| 9434 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9435 | { |
| 9436 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9437 | } |
| 9438 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 9439 | armnn::IWorkloadFactory& workloadFactory, |
| 9440 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9441 | { |
| 9442 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9443 | } |
| 9444 | |
| 9445 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 9446 | armnn::IWorkloadFactory& workloadFactory, |
| 9447 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9448 | { |
| 9449 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9450 | } |
| 9451 | |
| 9452 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test( |
| 9453 | armnn::IWorkloadFactory& workloadFactory, |
| 9454 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9455 | { |
| 9456 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9457 | } |
| 9458 | |
| 9459 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 9460 | armnn::IWorkloadFactory& workloadFactory, |
| 9461 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9462 | { |
| 9463 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9464 | } |
| 9465 | |
| 9466 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 9467 | armnn::IWorkloadFactory& workloadFactory, |
| 9468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9469 | { |
| 9470 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9471 | } |
| 9472 | |
| 9473 | LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test( |
| 9474 | armnn::IWorkloadFactory& workloadFactory, |
| 9475 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9476 | { |
| 9477 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9478 | } |
| 9479 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9480 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 9481 | armnn::IWorkloadFactory& workloadFactory, |
| 9482 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9483 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9484 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9485 | } |
| 9486 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9487 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 9488 | armnn::IWorkloadFactory& workloadFactory, |
| 9489 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9490 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9491 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9492 | } |
| 9493 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9494 | LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test( |
| 9495 | armnn::IWorkloadFactory& workloadFactory, |
| 9496 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9497 | { |
| 9498 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9499 | } |
| 9500 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9501 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 9502 | armnn::IWorkloadFactory& workloadFactory, |
| 9503 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9504 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 9505 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9506 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9507 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9508 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9509 | } |
| 9510 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9511 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 9512 | armnn::IWorkloadFactory& workloadFactory, |
| 9513 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9514 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 9515 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9516 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9517 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9518 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9519 | } |
| 9520 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9521 | LayerTestResult<int16_t, 4> ComparePooling2dInt16Test( |
| 9522 | armnn::IWorkloadFactory& workloadFactory, |
| 9523 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9524 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 9525 | armnn::PoolingAlgorithm poolingType) |
| 9526 | { |
| 9527 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9528 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 9529 | } |
| 9530 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9531 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 9532 | armnn::IWorkloadFactory& workloadFactory, |
| 9533 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9534 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9535 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9536 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9537 | } |
| 9538 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9539 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 9540 | armnn::IWorkloadFactory& workloadFactory, |
| 9541 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9542 | { |
| 9543 | // Create Initial Tensor |
| 9544 | // 1, 2, 3 |
| 9545 | // 4, 5, 6 |
| 9546 | // 7, 8, 9 |
| 9547 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9548 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 9549 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9550 | |
| 9551 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 9552 | {1, 2, 3, |
| 9553 | 4, 5, 6, |
| 9554 | 7, 8, 9 |
| 9555 | }); |
| 9556 | |
| 9557 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 9558 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 9559 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 9560 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 9561 | |
| 9562 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 9563 | // Result = |
| 9564 | // 1, 3 |
| 9565 | // 7, 9 |
| 9566 | armnn::Pooling2dDescriptor descriptor; |
| 9567 | descriptor.m_PoolHeight = 1; |
| 9568 | descriptor.m_PoolWidth = 1; |
| 9569 | descriptor.m_StrideX = 2; |
| 9570 | descriptor.m_StrideY = 2; |
| 9571 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 9572 | |
| 9573 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 9574 | queueDescriptor.m_Parameters = descriptor; |
| 9575 | armnn::WorkloadInfo workloadInfo; |
| 9576 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 9577 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9578 | |
| 9579 | // Create the MaxPool |
| 9580 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 9581 | |
| 9582 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 9583 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 9584 | boost::multi_array<float, 4> resultMaxPool; |
| 9585 | resultMaxPool.resize(shape); |
| 9586 | |
| 9587 | |
| 9588 | // Create addition with another tensor the same size |
| 9589 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 9590 | // with the initial tensor. |
| 9591 | // 12, 16 |
| 9592 | // 24, 28 |
| 9593 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9594 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 9595 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9596 | |
| 9597 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 9598 | {12, 16, |
| 9599 | 24, 28, |
| 9600 | }); |
| 9601 | |
| 9602 | // Expected output tensor after MaxPool and Addition. |
| 9603 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 9604 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 9605 | { |
| 9606 | 13, 19, |
| 9607 | 31, 37 |
| 9608 | })); |
| 9609 | |
| 9610 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 9611 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 9612 | |
| 9613 | armnn::AdditionQueueDescriptor data; |
| 9614 | armnn::WorkloadInfo info; |
| 9615 | |
| 9616 | // Add the output of the MaxPool and the new tensor |
| 9617 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9618 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 9619 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 9620 | |
| 9621 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 9622 | |
| 9623 | poolingInputHandle->Allocate(); |
| 9624 | poolingOutputHandle->Allocate(); |
| 9625 | addInputHandle->Allocate(); |
| 9626 | addOutputHandle->Allocate(); |
| 9627 | |
| 9628 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 9629 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 9630 | |
| 9631 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 9632 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 9633 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9634 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9635 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9636 | addWorkload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9637 | addWorkload->Execute(); |
| 9638 | |
| 9639 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 9640 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9641 | return addRet; |
| 9642 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9643 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9644 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 9645 | armnn::IWorkloadFactory& workloadFactory, |
| 9646 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9647 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9648 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9649 | } |
| 9650 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9651 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 9652 | armnn::IWorkloadFactory& workloadFactory, |
| 9653 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9654 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9655 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9656 | } |
| 9657 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9658 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 9659 | armnn::IWorkloadFactory& workloadFactory, |
| 9660 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9661 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9662 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9663 | } |
| 9664 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9665 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 9666 | armnn::IWorkloadFactory& workloadFactory, |
| 9667 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9668 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9669 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9670 | } |
| 9671 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9672 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 9673 | armnn::IWorkloadFactory& workloadFactory, |
| 9674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9675 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9676 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9677 | } |
| 9678 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9679 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 9680 | armnn::IWorkloadFactory& workloadFactory, |
| 9681 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9682 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9683 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9684 | } |
| 9685 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9686 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 9687 | armnn::IWorkloadFactory& workloadFactory, |
| 9688 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9689 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9690 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9691 | } |
| 9692 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9693 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 9694 | armnn::IWorkloadFactory& workloadFactory, |
| 9695 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9696 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9697 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9698 | } |
| 9699 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9700 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 9701 | armnn::IWorkloadFactory& workloadFactory, |
| 9702 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9703 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9704 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9705 | } |
| 9706 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9707 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 9708 | armnn::IWorkloadFactory& workloadFactory, |
| 9709 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9710 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9711 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9712 | } |
| 9713 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9714 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 9715 | armnn::IWorkloadFactory& workloadFactory, |
| 9716 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9717 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9718 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9719 | } |
| 9720 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9721 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 9722 | armnn::IWorkloadFactory& workloadFactory, |
| 9723 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9724 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9725 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9726 | } |
| 9727 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9728 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 9729 | armnn::IWorkloadFactory& workloadFactory, |
| 9730 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9731 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9732 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9733 | } |
| 9734 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9735 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 9736 | armnn::IWorkloadFactory& workloadFactory, |
| 9737 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9738 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9739 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9740 | } |
| 9741 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9742 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 9743 | armnn::IWorkloadFactory& workloadFactory, |
| 9744 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9745 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9746 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9747 | } |
| 9748 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9749 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 9750 | armnn::IWorkloadFactory& workloadFactory, |
| 9751 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9752 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9753 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9754 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9755 | |
nikraj01 | 120522a | 2019-05-31 11:33:07 +0100 | [diff] [blame] | 9756 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test( |
| 9757 | armnn::IWorkloadFactory& workloadFactory, |
| 9758 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9759 | { |
| 9760 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9761 | } |
| 9762 | |
| 9763 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test( |
| 9764 | armnn::IWorkloadFactory& workloadFactory, |
| 9765 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9766 | { |
| 9767 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9768 | } |
| 9769 | |
| 9770 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test( |
| 9771 | armnn::IWorkloadFactory& workloadFactory, |
| 9772 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9773 | { |
| 9774 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9775 | } |
| 9776 | |
| 9777 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test( |
| 9778 | armnn::IWorkloadFactory& workloadFactory, |
| 9779 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9780 | { |
| 9781 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9782 | } |
| 9783 | |
| 9784 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNHWCUint16Test( |
| 9785 | armnn::IWorkloadFactory& workloadFactory, |
| 9786 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9787 | { |
| 9788 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9789 | } |
| 9790 | |
| 9791 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNHWCUint16Test( |
| 9792 | armnn::IWorkloadFactory& workloadFactory, |
| 9793 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9794 | { |
| 9795 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9796 | } |
| 9797 | |
| 9798 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNHWCUint16Test( |
| 9799 | armnn::IWorkloadFactory& workloadFactory, |
| 9800 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9801 | { |
| 9802 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9803 | } |
| 9804 | |
| 9805 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNHWCUint16Test( |
| 9806 | armnn::IWorkloadFactory& workloadFactory, |
| 9807 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9808 | { |
| 9809 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9810 | } |
| 9811 | |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9812 | LayerTestResult<uint8_t, 4> SpaceToDepthNHWCAsymmQ8Test( |
| 9813 | armnn::IWorkloadFactory& workloadFactory, |
| 9814 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9815 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9816 | return SpaceToDepthSimpleTest1<armnn::DataType::QuantisedAsymm8>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9817 | workloadFactory, |
| 9818 | memoryManager); |
| 9819 | } |
| 9820 | |
| 9821 | LayerTestResult<uint8_t, 4> SpaceToDepthNCHWAsymmQ8Test( |
| 9822 | armnn::IWorkloadFactory& workloadFactory, |
| 9823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9824 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9825 | return SpaceToDepthSimpleTest1<armnn::DataType::QuantisedAsymm8>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9826 | workloadFactory, |
| 9827 | memoryManager, |
| 9828 | armnn::DataLayout::NCHW); |
| 9829 | } |
| 9830 | |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9831 | LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test1( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9832 | armnn::IWorkloadFactory& workloadFactory, |
| 9833 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9834 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9835 | return SpaceToDepthSimpleTest1<armnn::DataType::Float32>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9836 | workloadFactory, |
| 9837 | memoryManager); |
| 9838 | } |
| 9839 | |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9840 | LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test1( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9841 | armnn::IWorkloadFactory& workloadFactory, |
| 9842 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9843 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9844 | return SpaceToDepthSimpleTest1<armnn::DataType::Float32>( |
| 9845 | workloadFactory, |
| 9846 | memoryManager, |
| 9847 | armnn::DataLayout::NCHW); |
| 9848 | } |
| 9849 | |
| 9850 | LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test2( |
| 9851 | armnn::IWorkloadFactory& workloadFactory, |
| 9852 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9853 | { |
| 9854 | return SpaceToDepthSimpleTest2<armnn::DataType::Float32>( |
| 9855 | workloadFactory, |
| 9856 | memoryManager); |
| 9857 | } |
| 9858 | |
| 9859 | LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test2( |
| 9860 | armnn::IWorkloadFactory& workloadFactory, |
| 9861 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9862 | { |
| 9863 | return SpaceToDepthSimpleTest2<armnn::DataType::Float32>( |
| 9864 | workloadFactory, |
| 9865 | memoryManager, |
| 9866 | armnn::DataLayout::NCHW); |
| 9867 | } |
| 9868 | |
| 9869 | LayerTestResult<int16_t, 4> SpaceToDepthNHWCQSymm16Test( |
| 9870 | armnn::IWorkloadFactory& workloadFactory, |
| 9871 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9872 | { |
| 9873 | return SpaceToDepthSimpleTest2<armnn::DataType::QuantisedSymm16>( |
| 9874 | workloadFactory, |
| 9875 | memoryManager); |
| 9876 | } |
| 9877 | |
| 9878 | LayerTestResult<int16_t, 4> SpaceToDepthNCHWQSymm16Test( |
| 9879 | armnn::IWorkloadFactory& workloadFactory, |
| 9880 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9881 | { |
| 9882 | return SpaceToDepthSimpleTest2<armnn::DataType::QuantisedSymm16>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9883 | workloadFactory, |
| 9884 | memoryManager, |
| 9885 | armnn::DataLayout::NCHW); |
| 9886 | } |
| 9887 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9888 | namespace { |
| 9889 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9890 | } // anonymous namespace |
| 9891 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9892 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9893 | armnn::IWorkloadFactory& workloadFactory, |
| 9894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9895 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9896 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9897 | } |
| 9898 | |
| 9899 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9900 | armnn::IWorkloadFactory& workloadFactory, |
| 9901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9902 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9903 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9904 | } |
| 9905 | |
| 9906 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9907 | armnn::IWorkloadFactory& workloadFactory, |
| 9908 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9909 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9910 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9911 | } |
| 9912 | |
| 9913 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9914 | armnn::IWorkloadFactory& workloadFactory, |
| 9915 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9916 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9917 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9918 | } |
| 9919 | |
| 9920 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 9921 | armnn::IWorkloadFactory& workloadFactory, |
| 9922 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9923 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9924 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9925 | } |
| 9926 | |
| 9927 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 9928 | armnn::IWorkloadFactory& workloadFactory, |
| 9929 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9930 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9931 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9932 | } |
| 9933 | |
| 9934 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 9935 | armnn::IWorkloadFactory& workloadFactory, |
| 9936 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9937 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9938 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9939 | } |
| 9940 | |
| 9941 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 9942 | armnn::IWorkloadFactory& workloadFactory, |
| 9943 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9944 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9945 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9946 | } |
| 9947 | |
| 9948 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 9949 | armnn::IWorkloadFactory& workloadFactory, |
| 9950 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9951 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9952 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9953 | } |
| 9954 | |
| 9955 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 9956 | armnn::IWorkloadFactory& workloadFactory, |
| 9957 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9958 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9959 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9960 | } |
| 9961 | |
| 9962 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 9963 | armnn::IWorkloadFactory& workloadFactory, |
| 9964 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9965 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9966 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9967 | } |
| 9968 | |
| 9969 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 9970 | armnn::IWorkloadFactory& workloadFactory, |
| 9971 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9972 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9973 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9974 | } |
| 9975 | |
| 9976 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 9977 | armnn::IWorkloadFactory& workloadFactory, |
| 9978 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9979 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9980 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9981 | } |
| 9982 | |
| 9983 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 9984 | armnn::IWorkloadFactory& workloadFactory, |
| 9985 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9986 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9987 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9988 | } |
| 9989 | |
| 9990 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 9991 | armnn::IWorkloadFactory& workloadFactory, |
| 9992 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9993 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9994 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9995 | } |
| 9996 | |
| 9997 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 9998 | armnn::IWorkloadFactory& workloadFactory, |
| 9999 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10000 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10001 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10002 | } |
| 10003 | |
| 10004 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 10005 | armnn::IWorkloadFactory& workloadFactory, |
| 10006 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10007 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10008 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10009 | } |
| 10010 | |
| 10011 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 10012 | armnn::IWorkloadFactory& workloadFactory, |
| 10013 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10014 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10015 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10016 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10017 | |
Matteo Martincigh | 42666a1 | 2019-05-29 08:53:41 +0100 | [diff] [blame] | 10018 | LayerTestResult<int16_t, 4> StridedSlice4DInt16Test( |
| 10019 | armnn::IWorkloadFactory& workloadFactory, |
| 10020 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10021 | { |
| 10022 | return StridedSlice4DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10023 | } |
| 10024 | |
| 10025 | LayerTestResult<int16_t, 4> StridedSlice4DReverseInt16Test( |
| 10026 | armnn::IWorkloadFactory& workloadFactory, |
| 10027 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10028 | { |
| 10029 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10030 | } |
| 10031 | |
| 10032 | LayerTestResult<int16_t, 4> StridedSliceSimpleStrideInt16Test( |
| 10033 | armnn::IWorkloadFactory& workloadFactory, |
| 10034 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10035 | { |
| 10036 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10037 | } |
| 10038 | |
| 10039 | LayerTestResult<int16_t, 4> StridedSliceSimpleRangeMaskInt16Test( |
| 10040 | armnn::IWorkloadFactory& workloadFactory, |
| 10041 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10042 | { |
| 10043 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10044 | } |
| 10045 | |
| 10046 | LayerTestResult<int16_t, 2> StridedSliceShrinkAxisMaskInt16Test( |
| 10047 | armnn::IWorkloadFactory& workloadFactory, |
| 10048 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10049 | { |
| 10050 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10051 | } |
| 10052 | |
| 10053 | LayerTestResult<int16_t, 3> StridedSlice3DInt16Test( |
| 10054 | armnn::IWorkloadFactory& workloadFactory, |
| 10055 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10056 | { |
| 10057 | return StridedSlice3DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10058 | } |
| 10059 | |
| 10060 | LayerTestResult<int16_t, 3> StridedSlice3DReverseInt16Test( |
| 10061 | armnn::IWorkloadFactory& workloadFactory, |
| 10062 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10063 | { |
| 10064 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10065 | } |
| 10066 | |
| 10067 | LayerTestResult<int16_t, 2> StridedSlice2DInt16Test( |
| 10068 | armnn::IWorkloadFactory& workloadFactory, |
| 10069 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10070 | { |
| 10071 | return StridedSlice2DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10072 | } |
| 10073 | |
| 10074 | LayerTestResult<int16_t, 2> StridedSlice2DReverseInt16Test( |
| 10075 | armnn::IWorkloadFactory& workloadFactory, |
| 10076 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10077 | { |
| 10078 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10079 | } |
| 10080 | |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10081 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 10082 | armnn::IWorkloadFactory& workloadFactory, |
| 10083 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10084 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10085 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10086 | } |
| 10087 | |
| 10088 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 10089 | armnn::IWorkloadFactory& workloadFactory, |
| 10090 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10091 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10092 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10093 | } |
| 10094 | |
| 10095 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 10096 | armnn::IWorkloadFactory& workloadFactory, |
| 10097 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10098 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10099 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10100 | } |
| 10101 | |
| 10102 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 10103 | armnn::IWorkloadFactory& workloadFactory, |
| 10104 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10105 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10106 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10107 | } |
| 10108 | |
| 10109 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 10110 | armnn::IWorkloadFactory& workloadFactory, |
| 10111 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10112 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10113 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10114 | } |
| 10115 | |
| 10116 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 10117 | armnn::IWorkloadFactory& workloadFactory, |
| 10118 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10119 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10120 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10121 | } |
| 10122 | |
| 10123 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 10124 | armnn::IWorkloadFactory& workloadFactory, |
| 10125 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10126 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10127 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10128 | } |
| 10129 | |
| 10130 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 10131 | armnn::IWorkloadFactory& workloadFactory, |
| 10132 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10133 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10134 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10135 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 10136 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 10137 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 10138 | armnn::IWorkloadFactory& workloadFactory, |
| 10139 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10140 | { |
| 10141 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 10142 | } |
| 10143 | |
| 10144 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 10145 | armnn::IWorkloadFactory& workloadFactory, |
| 10146 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10147 | { |
| 10148 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10149 | } |
| 10150 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 10151 | LayerTestResult<int16_t, 1> Gather1DParamsInt16Test( |
| 10152 | armnn::IWorkloadFactory& workloadFactory, |
| 10153 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10154 | { |
| 10155 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10156 | } |
| 10157 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 10158 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 10159 | armnn::IWorkloadFactory& workloadFactory, |
| 10160 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10161 | { |
| 10162 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 10163 | } |
| 10164 | |
| 10165 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 10166 | armnn::IWorkloadFactory& workloadFactory, |
| 10167 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10168 | { |
| 10169 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10170 | } |
| 10171 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 10172 | LayerTestResult<int16_t, 2> GatherMultiDimParamsInt16Test( |
| 10173 | armnn::IWorkloadFactory& workloadFactory, |
| 10174 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10175 | { |
| 10176 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10177 | } |
| 10178 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 10179 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 10180 | armnn::IWorkloadFactory& workloadFactory, |
| 10181 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10182 | { |
| 10183 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 10184 | } |
| 10185 | |
| 10186 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 10187 | armnn::IWorkloadFactory& workloadFactory, |
| 10188 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10189 | { |
| 10190 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 10191 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 10192 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 10193 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 10194 | LayerTestResult<int16_t, 4> GatherMultiDimParamsMultiDimIndicesInt16Test( |
| 10195 | armnn::IWorkloadFactory& workloadFactory, |
| 10196 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10197 | { |
| 10198 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedSymm16>( |
| 10199 | workloadFactory, memoryManager); |
| 10200 | } |
| 10201 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 10202 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 10203 | armnn::IWorkloadFactory& workloadFactory, |
| 10204 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10205 | { |
| 10206 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10207 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 10208 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 10209 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 10210 | armnn::IWorkloadFactory& workloadFactory, |
| 10211 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10212 | { |
| 10213 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10214 | } |
| 10215 | |
| 10216 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 10217 | armnn::IWorkloadFactory& workloadFactory, |
| 10218 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10219 | { |
| 10220 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10221 | } |
| 10222 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 10223 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 10224 | armnn::IWorkloadFactory& workloadFactory, |
| 10225 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10226 | { |
| 10227 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10228 | } |
| 10229 | |
| 10230 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 10231 | armnn::IWorkloadFactory& workloadFactory, |
| 10232 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10233 | { |
| 10234 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10235 | } |
| 10236 | |
| 10237 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 10238 | armnn::IWorkloadFactory& workloadFactory, |
| 10239 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10240 | { |
| 10241 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10242 | } |
Aron Virginas-Tar | 735a450 | 2019-06-26 15:02:47 +0100 | [diff] [blame] | 10243 | |
| 10244 | // |
| 10245 | // TransposeConvolution2d |
| 10246 | // |
| 10247 | |
| 10248 | // Simple biased |
| 10249 | LayerTestResult<float, 4> SimpleTransposeConvolution2dFloatNchwTest( |
| 10250 | armnn::IWorkloadFactory& workloadFactory, |
| 10251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10252 | { |
| 10253 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10254 | workloadFactory, |
| 10255 | memoryManager, |
| 10256 | true, |
| 10257 | armnn::DataLayout::NCHW); |
| 10258 | } |
| 10259 | |
| 10260 | LayerTestResult<float, 4> SimpleTransposeConvolution2dFloatNhwcTest( |
| 10261 | armnn::IWorkloadFactory& workloadFactory, |
| 10262 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10263 | { |
| 10264 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10265 | workloadFactory, |
| 10266 | memoryManager, |
| 10267 | true, |
| 10268 | armnn::DataLayout::NHWC); |
| 10269 | } |
| 10270 | |
| 10271 | LayerTestResult<uint8_t, 4> SimpleTransposeConvolution2dUint8NchwTest( |
| 10272 | armnn::IWorkloadFactory& workloadFactory, |
| 10273 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10274 | { |
| 10275 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10276 | workloadFactory, |
| 10277 | memoryManager, |
| 10278 | true, |
| 10279 | armnn::DataLayout::NCHW); |
| 10280 | } |
| 10281 | |
| 10282 | LayerTestResult<uint8_t, 4> SimpleTransposeConvolution2dUint8NhwcTest( |
| 10283 | armnn::IWorkloadFactory& workloadFactory, |
| 10284 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10285 | { |
| 10286 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10287 | workloadFactory, |
| 10288 | memoryManager, |
| 10289 | true, |
| 10290 | armnn::DataLayout::NHWC); |
| 10291 | } |
| 10292 | |
| 10293 | LayerTestResult<int16_t, 4> SimpleTransposeConvolution2dInt16NchwTest( |
| 10294 | armnn::IWorkloadFactory& workloadFactory, |
| 10295 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10296 | { |
| 10297 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10298 | workloadFactory, |
| 10299 | memoryManager, |
| 10300 | true, |
| 10301 | armnn::DataLayout::NCHW); |
| 10302 | } |
| 10303 | |
| 10304 | LayerTestResult<int16_t, 4> SimpleTransposeConvolution2dInt16NhwcTest( |
| 10305 | armnn::IWorkloadFactory& workloadFactory, |
| 10306 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10307 | { |
| 10308 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10309 | workloadFactory, |
| 10310 | memoryManager, |
| 10311 | true, |
| 10312 | armnn::DataLayout::NHWC); |
| 10313 | } |
| 10314 | |
| 10315 | // Simple unbiased |
| 10316 | LayerTestResult<float, 4> UnbiasedSimpleTransposeConvolution2dFloatNchwTest( |
| 10317 | armnn::IWorkloadFactory& workloadFactory, |
| 10318 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10319 | { |
| 10320 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10321 | workloadFactory, |
| 10322 | memoryManager, |
| 10323 | false, |
| 10324 | armnn::DataLayout::NCHW); |
| 10325 | } |
| 10326 | |
| 10327 | LayerTestResult<float, 4> UnbiasedSimpleTransposeConvolution2dFloatNhwcTest( |
| 10328 | armnn::IWorkloadFactory& workloadFactory, |
| 10329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10330 | { |
| 10331 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10332 | workloadFactory, |
| 10333 | memoryManager, |
| 10334 | false, |
| 10335 | armnn::DataLayout::NHWC); |
| 10336 | } |
| 10337 | |
| 10338 | LayerTestResult<uint8_t, 4> UnbiasedSimpleTransposeConvolution2dUint8NchwTest( |
| 10339 | armnn::IWorkloadFactory& workloadFactory, |
| 10340 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10341 | { |
| 10342 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10343 | workloadFactory, |
| 10344 | memoryManager, |
| 10345 | false, |
| 10346 | armnn::DataLayout::NCHW); |
| 10347 | } |
| 10348 | |
| 10349 | LayerTestResult<uint8_t, 4> UnbiasedSimpleTransposeConvolution2dUint8NhwcTest( |
| 10350 | armnn::IWorkloadFactory& workloadFactory, |
| 10351 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10352 | { |
| 10353 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10354 | workloadFactory, |
| 10355 | memoryManager, |
| 10356 | false, |
| 10357 | armnn::DataLayout::NHWC); |
| 10358 | } |
| 10359 | |
| 10360 | LayerTestResult<int16_t, 4> UnbiasedSimpleTransposeConvolution2dInt16NchwTest( |
| 10361 | armnn::IWorkloadFactory& workloadFactory, |
| 10362 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10363 | { |
| 10364 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10365 | workloadFactory, |
| 10366 | memoryManager, |
| 10367 | false, |
| 10368 | armnn::DataLayout::NCHW); |
| 10369 | } |
| 10370 | |
| 10371 | LayerTestResult<int16_t, 4> UnbiasedSimpleTransposeConvolution2dInt16NhwcTest( |
| 10372 | armnn::IWorkloadFactory& workloadFactory, |
| 10373 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10374 | { |
| 10375 | return SimpleTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10376 | workloadFactory, |
| 10377 | memoryManager, |
| 10378 | false, |
| 10379 | armnn::DataLayout::NHWC); |
| 10380 | } |
| 10381 | |
| 10382 | // Padded biased |
| 10383 | LayerTestResult<float, 4> PaddedTransposeConvolution2dFloatNchwTest( |
| 10384 | armnn::IWorkloadFactory& workloadFactory, |
| 10385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10386 | { |
| 10387 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10388 | workloadFactory, |
| 10389 | memoryManager, |
| 10390 | true, |
| 10391 | armnn::DataLayout::NCHW); |
| 10392 | } |
| 10393 | |
| 10394 | LayerTestResult<float, 4> PaddedTransposeConvolution2dFloatNhwcTest( |
| 10395 | armnn::IWorkloadFactory& workloadFactory, |
| 10396 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10397 | { |
| 10398 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10399 | workloadFactory, |
| 10400 | memoryManager, |
| 10401 | true, |
| 10402 | armnn::DataLayout::NHWC); |
| 10403 | } |
| 10404 | |
| 10405 | LayerTestResult<uint8_t, 4> PaddedTransposeConvolution2dUint8NchwTest( |
| 10406 | armnn::IWorkloadFactory& workloadFactory, |
| 10407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10408 | { |
| 10409 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10410 | workloadFactory, |
| 10411 | memoryManager, |
| 10412 | true, |
| 10413 | armnn::DataLayout::NCHW); |
| 10414 | } |
| 10415 | |
| 10416 | LayerTestResult<uint8_t, 4> PaddedTransposeConvolution2dUint8NhwcTest( |
| 10417 | armnn::IWorkloadFactory& workloadFactory, |
| 10418 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10419 | { |
| 10420 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10421 | workloadFactory, |
| 10422 | memoryManager, |
| 10423 | true, |
| 10424 | armnn::DataLayout::NHWC); |
| 10425 | } |
| 10426 | |
| 10427 | LayerTestResult<int16_t, 4> PaddedTransposeConvolution2dInt16NchwTest( |
| 10428 | armnn::IWorkloadFactory& workloadFactory, |
| 10429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10430 | { |
| 10431 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10432 | workloadFactory, |
| 10433 | memoryManager, |
| 10434 | true, |
| 10435 | armnn::DataLayout::NCHW); |
| 10436 | } |
| 10437 | |
| 10438 | LayerTestResult<int16_t, 4> PaddedTransposeConvolution2dInt16NhwcTest( |
| 10439 | armnn::IWorkloadFactory& workloadFactory, |
| 10440 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10441 | { |
| 10442 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10443 | workloadFactory, |
| 10444 | memoryManager, |
| 10445 | true, |
| 10446 | armnn::DataLayout::NHWC); |
| 10447 | } |
| 10448 | |
| 10449 | // Padded unbiased |
| 10450 | LayerTestResult<float, 4> UnbiasedPaddedTransposeConvolution2dFloatNchwTest( |
| 10451 | armnn::IWorkloadFactory& workloadFactory, |
| 10452 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10453 | { |
| 10454 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10455 | workloadFactory, |
| 10456 | memoryManager, |
| 10457 | false, |
| 10458 | armnn::DataLayout::NCHW); |
| 10459 | } |
| 10460 | |
| 10461 | LayerTestResult<float, 4> UnbiasedPaddedTransposeConvolution2dFloatNhwcTest( |
| 10462 | armnn::IWorkloadFactory& workloadFactory, |
| 10463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10464 | { |
| 10465 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10466 | workloadFactory, |
| 10467 | memoryManager, |
| 10468 | false, |
| 10469 | armnn::DataLayout::NHWC); |
| 10470 | } |
| 10471 | |
| 10472 | LayerTestResult<uint8_t, 4> UnbiasedPaddedTransposeConvolution2dUint8NchwTest( |
| 10473 | armnn::IWorkloadFactory& workloadFactory, |
| 10474 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10475 | { |
| 10476 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10477 | workloadFactory, |
| 10478 | memoryManager, |
| 10479 | false, |
| 10480 | armnn::DataLayout::NCHW); |
| 10481 | } |
| 10482 | |
| 10483 | LayerTestResult<uint8_t, 4> UnbiasedPaddedTransposeConvolution2dUint8NhwcTest( |
| 10484 | armnn::IWorkloadFactory& workloadFactory, |
| 10485 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10486 | { |
| 10487 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10488 | workloadFactory, |
| 10489 | memoryManager, |
| 10490 | false, |
| 10491 | armnn::DataLayout::NHWC); |
| 10492 | } |
| 10493 | |
| 10494 | LayerTestResult<int16_t, 4> UnbiasedPaddedTransposeConvolution2dInt16NchwTest( |
| 10495 | armnn::IWorkloadFactory& workloadFactory, |
| 10496 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10497 | { |
| 10498 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10499 | workloadFactory, |
| 10500 | memoryManager, |
| 10501 | false, |
| 10502 | armnn::DataLayout::NCHW); |
| 10503 | } |
| 10504 | |
| 10505 | LayerTestResult<int16_t, 4> UnbiasedPaddedTransposeConvolution2dInt16NhwcTest( |
| 10506 | armnn::IWorkloadFactory& workloadFactory, |
| 10507 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10508 | { |
| 10509 | return PaddedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10510 | workloadFactory, |
| 10511 | memoryManager, |
| 10512 | false, |
| 10513 | armnn::DataLayout::NHWC); |
| 10514 | } |
| 10515 | |
| 10516 | // Strided biased |
| 10517 | LayerTestResult<float, 4> StridedTransposeConvolution2dFloatNchwTest( |
| 10518 | armnn::IWorkloadFactory& workloadFactory, |
| 10519 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10520 | { |
| 10521 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10522 | workloadFactory, |
| 10523 | memoryManager, |
| 10524 | true, |
| 10525 | armnn::DataLayout::NCHW); |
| 10526 | } |
| 10527 | |
| 10528 | LayerTestResult<float, 4> StridedTransposeConvolution2dFloatNhwcTest( |
| 10529 | armnn::IWorkloadFactory& workloadFactory, |
| 10530 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10531 | { |
| 10532 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10533 | workloadFactory, |
| 10534 | memoryManager, |
| 10535 | true, |
| 10536 | armnn::DataLayout::NHWC); |
| 10537 | } |
| 10538 | |
| 10539 | LayerTestResult<uint8_t, 4> StridedTransposeConvolution2dUint8NchwTest( |
| 10540 | armnn::IWorkloadFactory& workloadFactory, |
| 10541 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10542 | { |
| 10543 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10544 | workloadFactory, |
| 10545 | memoryManager, |
| 10546 | true, |
| 10547 | armnn::DataLayout::NCHW); |
| 10548 | } |
| 10549 | |
| 10550 | LayerTestResult<uint8_t, 4> StridedTransposeConvolution2dUint8NhwcTest( |
| 10551 | armnn::IWorkloadFactory& workloadFactory, |
| 10552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10553 | { |
| 10554 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10555 | workloadFactory, |
| 10556 | memoryManager, |
| 10557 | true, |
| 10558 | armnn::DataLayout::NHWC); |
| 10559 | } |
| 10560 | |
| 10561 | LayerTestResult<int16_t, 4> StridedTransposeConvolution2dInt16NchwTest( |
| 10562 | armnn::IWorkloadFactory& workloadFactory, |
| 10563 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10564 | { |
| 10565 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10566 | workloadFactory, |
| 10567 | memoryManager, |
| 10568 | true, |
| 10569 | armnn::DataLayout::NCHW); |
| 10570 | } |
| 10571 | |
| 10572 | LayerTestResult<int16_t, 4> StridedTransposeConvolution2dInt16NhwcTest( |
| 10573 | armnn::IWorkloadFactory& workloadFactory, |
| 10574 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10575 | { |
| 10576 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10577 | workloadFactory, |
| 10578 | memoryManager, |
| 10579 | true, |
| 10580 | armnn::DataLayout::NHWC); |
| 10581 | } |
| 10582 | |
| 10583 | // Strided unbiased |
| 10584 | LayerTestResult<float, 4> UnbiasedStridedTransposeConvolution2dFloatNchwTest( |
| 10585 | armnn::IWorkloadFactory& workloadFactory, |
| 10586 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10587 | { |
| 10588 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10589 | workloadFactory, |
| 10590 | memoryManager, |
| 10591 | false, |
| 10592 | armnn::DataLayout::NCHW); |
| 10593 | } |
| 10594 | |
| 10595 | LayerTestResult<float, 4> UnbiasedStridedTransposeConvolution2dFloatNhwcTest( |
| 10596 | armnn::IWorkloadFactory& workloadFactory, |
| 10597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10598 | { |
| 10599 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 10600 | workloadFactory, |
| 10601 | memoryManager, |
| 10602 | false, |
| 10603 | armnn::DataLayout::NHWC); |
| 10604 | } |
| 10605 | |
| 10606 | LayerTestResult<uint8_t, 4> UnbiasedStridedTransposeConvolution2dUint8NchwTest( |
| 10607 | armnn::IWorkloadFactory& workloadFactory, |
| 10608 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10609 | { |
| 10610 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10611 | workloadFactory, |
| 10612 | memoryManager, |
| 10613 | false, |
| 10614 | armnn::DataLayout::NCHW); |
| 10615 | } |
| 10616 | |
| 10617 | LayerTestResult<uint8_t, 4> UnbiasedStridedTransposeConvolution2dUint8NhwcTest( |
| 10618 | armnn::IWorkloadFactory& workloadFactory, |
| 10619 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10620 | { |
| 10621 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 10622 | workloadFactory, |
| 10623 | memoryManager, |
| 10624 | false, |
| 10625 | armnn::DataLayout::NHWC); |
| 10626 | } |
| 10627 | |
| 10628 | LayerTestResult<int16_t, 4> UnbiasedStridedTransposeConvolution2dInt16NchwTest( |
| 10629 | armnn::IWorkloadFactory& workloadFactory, |
| 10630 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10631 | { |
| 10632 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10633 | workloadFactory, |
| 10634 | memoryManager, |
| 10635 | false, |
| 10636 | armnn::DataLayout::NCHW); |
| 10637 | } |
| 10638 | |
| 10639 | LayerTestResult<int16_t, 4> UnbiasedStridedTransposeConvolution2dInt16NhwcTest( |
| 10640 | armnn::IWorkloadFactory& workloadFactory, |
| 10641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10642 | { |
| 10643 | return StridedTransposeConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 10644 | workloadFactory, |
| 10645 | memoryManager, |
| 10646 | false, |
| 10647 | armnn::DataLayout::NHWC); |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 10648 | } |