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 | |
James Conroy | 9c3cae8 | 2019-08-01 16:01:48 +0100 | [diff] [blame] | 2413 | // QuantizedLstm |
| 2414 | LayerTestResult<uint8_t, 2> QuantizedLstmTest( |
| 2415 | armnn::IWorkloadFactory& workloadFactory, |
| 2416 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2417 | { |
| 2418 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::QuantisedAsymm8); |
| 2419 | boost::multi_array<uint8_t, 2> input = MakeTensor<uint8_t, 2>(inputDesc, std::vector<uint8_t>( |
| 2420 | {166, 179, 50, 150})); |
| 2421 | |
| 2422 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::QuantisedAsymm8); |
| 2423 | boost::multi_array<uint8_t, 2> expectedOutput = MakeTensor<uint8_t, 2>(outputDesc, std::vector<uint8_t>( |
| 2424 | {140, 151, 146, 112, 136, 156, 142, 112 })); |
| 2425 | |
| 2426 | return QuantizedLstmTestImpl(workloadFactory, memoryManager, input, expectedOutput); |
| 2427 | } |
| 2428 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 2429 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2430 | armnn::IWorkloadFactory& workloadFactory, |
| 2431 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2432 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2433 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2434 | unsigned int outputHeight = 6; |
| 2435 | unsigned int outputChannels = 3; |
| 2436 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2437 | unsigned int inputWidth1 = 3; |
| 2438 | unsigned int inputHeight1 = 6; |
| 2439 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2440 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2441 | unsigned int inputWidth2 = 3; |
| 2442 | unsigned int inputHeight2 = 6; |
| 2443 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2444 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2445 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2446 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 2447 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 2448 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2449 | |
| 2450 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 2451 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2452 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2453 | { |
| 2454 | 1.0f, 2.0f, 3.0f, |
| 2455 | 4.0f, 5.0f, 6.0f, |
| 2456 | 7.0f, 8.0f, 9.0f, |
| 2457 | 10.0f, 11.0f, 12.0f, |
| 2458 | 13.0f, 14.0f, 15.0f, |
| 2459 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2460 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2461 | 19.0f, 20.0f, 21.0f, |
| 2462 | 22.0f, 23.0f, 24.0f, |
| 2463 | 25.0f, 26.0f, 27.0f, |
| 2464 | 28.0f, 29.0f, 30.0f, |
| 2465 | 31.0f, 32.0f, 33.0f, |
| 2466 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2467 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2468 | 37.0f, 38.0f, 39.0f, |
| 2469 | 40.0f, 41.0f, 42.0f, |
| 2470 | 43.0f, 44.0f, 45.0f, |
| 2471 | 46.0f, 47.0f, 48.0f, |
| 2472 | 49.0f, 50.0f, 51.0f, |
| 2473 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2474 | }) |
| 2475 | ); |
| 2476 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2477 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 2478 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2479 | 1.0f, 2.0f, 3.0f, |
| 2480 | 4.0f, 5.0f, 6.0f, |
| 2481 | 7.0f, 8.0f, 9.0f, |
| 2482 | 10.0f, 11.0f, 12.0f, |
| 2483 | 13.0f, 14.0f, 15.0f, |
| 2484 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2485 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2486 | 19.0f, 20.0f, 21.0f, |
| 2487 | 22.0f, 23.0f, 24.0f, |
| 2488 | 25.0f, 26.0f, 27.0f, |
| 2489 | 28.0f, 29.0f, 30.0f, |
| 2490 | 31.0f, 32.0f, 33.0f, |
| 2491 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2492 | }) |
| 2493 | ); |
| 2494 | |
| 2495 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 2496 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2497 | 37.0f, 38.0f, 39.0f, |
| 2498 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2499 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2500 | 46.0f, 47.0f, 48.0f, |
| 2501 | 49.0f, 50.0f, 51.0f, |
| 2502 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2503 | }) |
| 2504 | ); |
| 2505 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2506 | 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] | 2507 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2508 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2509 | 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] | 2510 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2511 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2512 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2513 | |
| 2514 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2515 | |
| 2516 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 2517 | subTensorsSupported ? |
| 2518 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2519 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2520 | |
| 2521 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 2522 | subTensorsSupported ? |
| 2523 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2524 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2525 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 2526 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2527 | armnn::WorkloadInfo info; |
| 2528 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2529 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2530 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2531 | |
| 2532 | data.m_ViewOrigins.push_back(window1); |
| 2533 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2534 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 2535 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2536 | |
| 2537 | inputHandle1->Allocate(); |
| 2538 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2539 | outputHandle->Allocate(); |
| 2540 | |
| 2541 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 2542 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2543 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2544 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2545 | workload->Execute(); |
| 2546 | |
| 2547 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 2548 | |
| 2549 | return ret; |
| 2550 | } |
| 2551 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2552 | LayerTestResult<float,4> AdditionTest( |
| 2553 | armnn::IWorkloadFactory& workloadFactory, |
| 2554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2555 | { |
| 2556 | unsigned int batchSize = 2; |
| 2557 | unsigned int channels = 2; |
| 2558 | unsigned int height = 2; |
| 2559 | unsigned int width = 3; |
| 2560 | |
| 2561 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 2562 | armnn::TensorInfo outputTensorInfo; |
| 2563 | |
| 2564 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 2565 | |
| 2566 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2567 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2568 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2569 | |
| 2570 | |
| 2571 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 2572 | { |
| 2573 | 0.0f, 2.0f, 1.0f, |
| 2574 | 0.2f, 1.0f, 2.0f, |
| 2575 | |
| 2576 | 1.0f, 2.0f, 1.0f, |
| 2577 | 0.2f, 1.0f, 2.0f, |
| 2578 | |
| 2579 | 0.0f, 2.0f, 1.0f, |
| 2580 | 4.2f, 1.0f, 2.0f, |
| 2581 | |
| 2582 | 0.0f, 0.0f, 1.0f, |
| 2583 | 0.2f, 1.0f, 2.0f, |
| 2584 | })); |
| 2585 | |
| 2586 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 2587 | { |
| 2588 | 1.0f, 2.0f, 1.0f, |
| 2589 | 0.0f, 1.0f, 2.0f, |
| 2590 | |
| 2591 | 1.0f, 2.0f, -2.0f, |
| 2592 | 0.2f, 1.0f, 2.0f, |
| 2593 | |
| 2594 | 0.0f, 2.0f, 1.0f, |
| 2595 | 4.2f, 0.0f, -3.0f, |
| 2596 | |
| 2597 | 0.0f, 0.0f, 1.0f, |
| 2598 | 0.7f, 1.0f, 5.0f, |
| 2599 | })); |
| 2600 | |
| 2601 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2602 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 2603 | { |
| 2604 | 1.0f, 4.0f, 2.0f, |
| 2605 | 0.2f, 2.0f, 4.0f, |
| 2606 | |
| 2607 | 2.0f, 4.0f, -1.0f, |
| 2608 | 0.4f, 2.0f, 4.0f, |
| 2609 | |
| 2610 | 0.0f, 4.0f, 2.0f, |
| 2611 | 8.4f, 1.0f, -1.0f, |
| 2612 | |
| 2613 | 0.0f, 0.0f, 2.0f, |
| 2614 | 0.9f, 2.0f, 7.0f, |
| 2615 | })); |
| 2616 | |
| 2617 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2618 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2619 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2620 | |
| 2621 | armnn::AdditionQueueDescriptor data; |
| 2622 | armnn::WorkloadInfo info; |
| 2623 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2624 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2625 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2626 | |
| 2627 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2628 | |
| 2629 | inputHandle1->Allocate(); |
| 2630 | inputHandle2->Allocate(); |
| 2631 | outputHandle->Allocate(); |
| 2632 | |
| 2633 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2634 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2635 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2636 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2637 | workload->Execute(); |
| 2638 | |
| 2639 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2640 | |
| 2641 | return ret; |
| 2642 | } |
| 2643 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2644 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2645 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 2646 | armnn::IWorkloadFactory& workloadFactory, |
| 2647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2648 | float qScale, |
| 2649 | int32_t qOffset) |
| 2650 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2651 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 2652 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 2653 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2654 | |
| 2655 | if (armnn::IsQuantizedType<T>()) |
| 2656 | { |
| 2657 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2658 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 2659 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 2660 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 2661 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2662 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 2663 | } |
| 2664 | |
| 2665 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 2666 | { |
| 2667 | 0.0f, |
| 2668 | 1.0f, |
| 2669 | |
| 2670 | 2.0f, |
| 2671 | 3.0f, |
| 2672 | |
| 2673 | 4.0f, |
| 2674 | 5.0f, |
| 2675 | })); |
| 2676 | |
| 2677 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 2678 | { |
| 2679 | 0.5f, 1.5f, 2.5f, |
| 2680 | 3.5f, 4.5f, 5.5f, |
| 2681 | })); |
| 2682 | |
| 2683 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 2684 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 2685 | { |
| 2686 | 0.5f, 1.5f, 2.5f, |
| 2687 | 4.5f, 5.5f, 6.5f, |
| 2688 | |
| 2689 | 2.5f, 3.5f, 4.5f, |
| 2690 | 6.5f, 7.5f, 8.5f, |
| 2691 | |
| 2692 | 4.5f, 5.5f, 6.5f, |
| 2693 | 8.5f, 9.5f, 10.5f, |
| 2694 | })); |
| 2695 | |
| 2696 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2697 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2698 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2699 | |
| 2700 | armnn::AdditionQueueDescriptor data; |
| 2701 | armnn::WorkloadInfo info; |
| 2702 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2703 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2704 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2705 | |
| 2706 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2707 | |
| 2708 | inputHandle1->Allocate(); |
| 2709 | inputHandle2->Allocate(); |
| 2710 | outputHandle->Allocate(); |
| 2711 | |
| 2712 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2713 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2714 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2715 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2716 | workload->Execute(); |
| 2717 | |
| 2718 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2719 | |
| 2720 | return ret; |
| 2721 | } |
| 2722 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2723 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2724 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 2725 | armnn::IWorkloadFactory& workloadFactory, |
| 2726 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2727 | float qScale, |
| 2728 | int32_t qOffset) |
| 2729 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2730 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 2731 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 2732 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2733 | |
| 2734 | if (armnn::IsQuantizedType<T>()) |
| 2735 | { |
| 2736 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2737 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 2738 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 2739 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 2740 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2741 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 2742 | } |
| 2743 | |
| 2744 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 2745 | { |
| 2746 | 0.0f, 1.0f, 2.0f, |
| 2747 | 3.0f, 4.0f, 5.0f, |
| 2748 | 6.0f, 7.0f, 8.0f, |
| 2749 | 9.0f, 10.0f, 11.0f, |
| 2750 | 12.0f, 13.0f, 14.0f, |
| 2751 | 15.0f, 16.0f, 17.0f, |
| 2752 | })); |
| 2753 | |
| 2754 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 2755 | { |
| 2756 | 0.5f, |
| 2757 | })); |
| 2758 | |
| 2759 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 2760 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 2761 | { |
| 2762 | 0.5f, 1.5f, 2.5f, |
| 2763 | 3.5f, 4.5f, 5.5f, |
| 2764 | 6.5f, 7.5f, 8.5f, |
| 2765 | 9.5f, 10.5f, 11.5f, |
| 2766 | 12.5f, 13.5f, 14.5f, |
| 2767 | 15.5f, 16.5f, 17.5f, |
| 2768 | })); |
| 2769 | |
| 2770 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2771 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2772 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2773 | |
| 2774 | armnn::AdditionQueueDescriptor data; |
| 2775 | armnn::WorkloadInfo info; |
| 2776 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2777 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2778 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2779 | |
| 2780 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2781 | |
| 2782 | inputHandle1->Allocate(); |
| 2783 | inputHandle2->Allocate(); |
| 2784 | outputHandle->Allocate(); |
| 2785 | |
| 2786 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2787 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2788 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2789 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2790 | workload->Execute(); |
| 2791 | |
| 2792 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2793 | |
| 2794 | return ret; |
| 2795 | } |
| 2796 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2797 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 2798 | armnn::IWorkloadFactory& workloadFactory, |
| 2799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2800 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2801 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 2802 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2803 | } |
| 2804 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2805 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 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 AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2810 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2811 | } |
| 2812 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2813 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 2814 | armnn::IWorkloadFactory& workloadFactory, |
| 2815 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2816 | { |
| 2817 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 2818 | workloadFactory, memoryManager, 2.f, 0); |
| 2819 | } |
| 2820 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2821 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 2822 | armnn::IWorkloadFactory& workloadFactory, |
| 2823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2824 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2825 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 2826 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2827 | } |
| 2828 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2829 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 2830 | armnn::IWorkloadFactory& workloadFactory, |
| 2831 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2832 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2833 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2834 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2835 | } |
| 2836 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2837 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 2838 | armnn::IWorkloadFactory& workloadFactory, |
| 2839 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2840 | { |
| 2841 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 2842 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 2843 | } |
| 2844 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2845 | LayerTestResult<float,4> CompareAdditionTest( |
| 2846 | armnn::IWorkloadFactory& workloadFactory, |
| 2847 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2848 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2849 | { |
| 2850 | unsigned int batchSize = 4; |
| 2851 | unsigned int channels = 1; |
| 2852 | unsigned int height = 2; |
| 2853 | unsigned int width = 3; |
| 2854 | |
| 2855 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 2856 | armnn::TensorInfo outputTensorInfo; |
| 2857 | |
| 2858 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 2859 | |
| 2860 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2861 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2862 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2863 | |
| 2864 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 2865 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 2866 | |
| 2867 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2868 | |
| 2869 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2870 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2871 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2872 | |
| 2873 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2874 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2875 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2876 | |
| 2877 | armnn::AdditionQueueDescriptor data; |
| 2878 | armnn::WorkloadInfo info; |
| 2879 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2880 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2881 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2882 | |
| 2883 | armnn::AdditionQueueDescriptor refData = data; |
| 2884 | armnn::WorkloadInfo refInfo = info; |
| 2885 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 2886 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 2887 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2888 | |
| 2889 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2890 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 2891 | |
| 2892 | inputHandle1->Allocate(); |
| 2893 | inputHandle2->Allocate(); |
| 2894 | outputHandle->Allocate(); |
| 2895 | inputHandle1Ref->Allocate(); |
| 2896 | inputHandle2Ref->Allocate(); |
| 2897 | outputHandleRef->Allocate(); |
| 2898 | |
| 2899 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2900 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2901 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 2902 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 2903 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2904 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2905 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2906 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2907 | workloadRef->Execute(); |
| 2908 | |
| 2909 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2910 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2911 | |
| 2912 | return ret; |
| 2913 | } |
| 2914 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2915 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2916 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2917 | LayerTestResult<T, 4> DivisionTestHelper( |
| 2918 | armnn::IWorkloadFactory& workloadFactory, |
| 2919 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2920 | const unsigned int shape0[4], |
| 2921 | const std::vector<T>& values0, |
| 2922 | float scale0, |
| 2923 | int32_t offset0, |
| 2924 | const unsigned int shape1[4], |
| 2925 | const std::vector<T> & values1, |
| 2926 | float scale1, |
| 2927 | int32_t offset1, |
| 2928 | const unsigned int outShape[4], |
| 2929 | const std::vector<T> & outValues, |
| 2930 | float outScale, |
| 2931 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2932 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2933 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 2934 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 2935 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2936 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2937 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 2938 | inputTensorInfo0.SetQuantizationOffset(offset0); |
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 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 2941 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2942 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2943 | outputTensorInfo.SetQuantizationScale(outScale); |
| 2944 | outputTensorInfo.SetQuantizationOffset(outOffset); |
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 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 2947 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2948 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2949 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 2950 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2951 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2952 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2953 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2954 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2955 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2956 | armnn::DivisionQueueDescriptor data; |
| 2957 | armnn::WorkloadInfo info; |
| 2958 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2959 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2960 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2961 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2962 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2963 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2964 | inputHandle0->Allocate(); |
| 2965 | inputHandle1->Allocate(); |
| 2966 | outputHandle->Allocate(); |
| 2967 | |
| 2968 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2969 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2970 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2971 | workload->PostAllocationConfigure(); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2972 | workload->Execute(); |
| 2973 | |
| 2974 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 2975 | |
| 2976 | return result; |
| 2977 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2978 | } // anonymous namespace |
| 2979 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2980 | LayerTestResult<float,4> DivisionByZeroTest( |
| 2981 | armnn::IWorkloadFactory& workloadFactory, |
| 2982 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2983 | { |
| 2984 | const unsigned int width = 2; |
| 2985 | const unsigned int height = 2; |
| 2986 | const unsigned int channelCount = 2; |
| 2987 | const unsigned int batchSize = 2; |
| 2988 | |
| 2989 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2990 | |
| 2991 | std::vector<float> input0({ |
| 2992 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 2993 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 2994 | |
| 2995 | std::vector<float> input1({ |
| 2996 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 2997 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 2998 | |
| 2999 | std::vector<float> output({ |
| 3000 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 3001 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 3002 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3003 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3004 | memoryManager, |
| 3005 | shape, input0, 1.0f, 0, |
| 3006 | shape, input1, 1.0f, 0, |
| 3007 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 3008 | } |
| 3009 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3010 | LayerTestResult<float,4> DivisionTest( |
| 3011 | armnn::IWorkloadFactory& workloadFactory, |
| 3012 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3013 | { |
| 3014 | const unsigned int width = 2; |
| 3015 | const unsigned int height = 2; |
| 3016 | const unsigned int channelCount = 2; |
| 3017 | const unsigned int batchSize = 2; |
| 3018 | |
| 3019 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3020 | |
| 3021 | std::vector<float> input0({ |
| 3022 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 3023 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3024 | |
| 3025 | std::vector<float> input1({ |
| 3026 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 3027 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 3028 | |
| 3029 | std::vector<float> output({ |
| 3030 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 3031 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 3032 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3033 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3034 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3035 | memoryManager, |
| 3036 | shape, input0, 1.0f, 0, |
| 3037 | shape, input1, 1.0f, 0, |
| 3038 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3039 | } |
| 3040 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3041 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 3042 | armnn::IWorkloadFactory& workloadFactory, |
| 3043 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3044 | { |
| 3045 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3046 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3047 | |
| 3048 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3049 | std::vector<float> input1({ 2 }); |
| 3050 | |
| 3051 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3052 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3053 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3054 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3055 | memoryManager, |
| 3056 | shape0, input0, 1.0f, 0, |
| 3057 | shape1, input1, 1.0f, 0, |
| 3058 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3059 | } |
| 3060 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3061 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 3062 | armnn::IWorkloadFactory& workloadFactory, |
| 3063 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3064 | { |
| 3065 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3066 | std::vector<float> input0({ |
| 3067 | 1, 4, 3, 8, 5, 12, |
| 3068 | 7, 16, 9, 20, 11, 24, |
| 3069 | 13, 28, 15, 32, 17, 36}); |
| 3070 | |
| 3071 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3072 | std::vector<float> input1({ 1, 2 }); |
| 3073 | |
| 3074 | std::vector<float> output({ |
| 3075 | 1, 2, 3, 4, 5, 6, |
| 3076 | 7, 8, 9, 10, 11, 12, |
| 3077 | 13, 14, 15, 16, 17, 18}); |
| 3078 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3079 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 3080 | memoryManager, |
| 3081 | shape0, input0, 1.0f, 0, |
| 3082 | shape1, input1, 1.0f, 0, |
| 3083 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3084 | } |
| 3085 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3086 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 3087 | armnn::IWorkloadFactory& workloadFactory, |
| 3088 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3089 | { |
| 3090 | const unsigned int width = 2; |
| 3091 | const unsigned int height = 2; |
| 3092 | const unsigned int channelCount = 2; |
| 3093 | const unsigned int batchSize = 2; |
| 3094 | |
| 3095 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3096 | |
| 3097 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 3098 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3099 | |
| 3100 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 3101 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 3102 | |
| 3103 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 3104 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 3105 | |
| 3106 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3107 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 3108 | memoryManager, |
| 3109 | shape, input0, 1.0f, 0, |
| 3110 | shape, input1, 1.0f, 0, |
| 3111 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3112 | } |
| 3113 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3114 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 3115 | armnn::IWorkloadFactory& workloadFactory, |
| 3116 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3117 | { |
| 3118 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3119 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3120 | |
| 3121 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3122 | std::vector<uint8_t> input1({ 2 }); |
| 3123 | |
| 3124 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3125 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3126 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 3127 | memoryManager, |
| 3128 | shape0, input0, 1.0f, 0, |
| 3129 | shape1, input1, 1.0f, 0, |
| 3130 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3131 | } |
| 3132 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3133 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 3134 | armnn::IWorkloadFactory& workloadFactory, |
| 3135 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 3136 | { |
| 3137 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3138 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 3139 | 7, 16, 9, 20, 11, 24, |
| 3140 | 13, 28, 15, 32, 17, 36}); |
| 3141 | |
| 3142 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3143 | std::vector<uint8_t> input1({ 1, 2 }); |
| 3144 | |
| 3145 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 3146 | 7, 8, 9, 10, 11, 12, |
| 3147 | 13, 14, 15, 16, 17, 18}); |
| 3148 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3149 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 3150 | memoryManager, |
| 3151 | shape0, input0, 1.0f, 0, |
| 3152 | shape1, input1, 1.0f, 0, |
| 3153 | shape0, output, 1.0f, 0); |
| 3154 | } |
| 3155 | |
| 3156 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 3157 | armnn::IWorkloadFactory& workloadFactory, |
| 3158 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3159 | { |
| 3160 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3161 | |
| 3162 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 3163 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3164 | |
| 3165 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 3166 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 3167 | |
| 3168 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 3169 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 3170 | |
| 3171 | |
| 3172 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 3173 | memoryManager, |
| 3174 | shape, input0, 1.0f, 0, |
| 3175 | shape, input1, 1.0f, 0, |
| 3176 | shape, output, 0.25f, 0); |
| 3177 | } |
| 3178 | |
| 3179 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 3180 | armnn::IWorkloadFactory& workloadFactory, |
| 3181 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3182 | { |
| 3183 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3184 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3185 | |
| 3186 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3187 | std::vector<int16_t> input1({ 2 }); |
| 3188 | |
| 3189 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3190 | |
| 3191 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 3192 | memoryManager, |
| 3193 | shape0, input0, 1.0f, 0, |
| 3194 | shape1, input1, 1.0f, 0, |
| 3195 | shape0, output, 1.0f, 0); |
| 3196 | } |
| 3197 | |
| 3198 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 3199 | armnn::IWorkloadFactory& workloadFactory, |
| 3200 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3201 | { |
| 3202 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3203 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 3204 | 7, 16, 9, 20, 11, 24, |
| 3205 | 13, 28, 15, 32, 17, 36}); |
| 3206 | |
| 3207 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3208 | std::vector<int16_t> input1({ 1, 2 }); |
| 3209 | |
| 3210 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 3211 | 7, 8, 9, 10, 11, 12, |
| 3212 | 13, 14, 15, 16, 17, 18}); |
| 3213 | |
| 3214 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 3215 | memoryManager, |
| 3216 | shape0, input0, 1.0f, 0, |
| 3217 | shape1, input1, 1.0f, 0, |
| 3218 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3219 | } |
| 3220 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3221 | template<typename DescriptorType> |
| 3222 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 3223 | const armnn::IWorkloadFactory& workloadFactory, |
| 3224 | const armnn::WorkloadInfo& info, |
| 3225 | const DescriptorType& descriptor) |
| 3226 | { |
| 3227 | return CreateWorkload(workloadFactory, info, descriptor); |
| 3228 | }; |
| 3229 | |
| 3230 | template<> |
| 3231 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 3232 | const armnn::IWorkloadFactory& workloadFactory, |
| 3233 | const armnn::WorkloadInfo& info, |
| 3234 | const armnn::MaximumQueueDescriptor& descriptor) |
| 3235 | { |
| 3236 | return workloadFactory.CreateMaximum(descriptor, info); |
| 3237 | } |
| 3238 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3239 | template<> |
| 3240 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 3241 | const armnn::IWorkloadFactory& workloadFactory, |
| 3242 | const armnn::WorkloadInfo& info, |
| 3243 | const armnn::MinimumQueueDescriptor& descriptor) |
| 3244 | { |
| 3245 | return workloadFactory.CreateMinimum(descriptor, info); |
| 3246 | } |
| 3247 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3248 | template<> |
| 3249 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 3250 | const armnn::IWorkloadFactory& workloadFactory, |
| 3251 | const armnn::WorkloadInfo& info, |
| 3252 | const armnn::EqualQueueDescriptor& descriptor) |
| 3253 | { |
| 3254 | return workloadFactory.CreateEqual(descriptor, info); |
| 3255 | } |
| 3256 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3257 | template<> |
| 3258 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 3259 | const armnn::IWorkloadFactory& workloadFactory, |
| 3260 | const armnn::WorkloadInfo& info, |
| 3261 | const armnn::GreaterQueueDescriptor& descriptor) |
| 3262 | { |
| 3263 | return workloadFactory.CreateGreater(descriptor, info); |
| 3264 | } |
| 3265 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3266 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3267 | |
| 3268 | template <typename Descriptor, |
| 3269 | armnn::DataType ArmnnTypeInput, |
| 3270 | armnn::DataType ArmnnTypeOutput, |
| 3271 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 3272 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 3273 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 3274 | armnn::IWorkloadFactory & workloadFactory, |
| 3275 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 3276 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 3277 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 3278 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 3279 | float qScale = 0.0f, int qOffset = 0) |
| 3280 | { |
Rob Hughes | 9e10c2b | 2019-07-23 15:37:19 +0100 | [diff] [blame] | 3281 | const uint32_t dimensionCount = 4; |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3282 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 3283 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 3284 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 3285 | |
| 3286 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 3287 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 3288 | |
| 3289 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3290 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3291 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 3292 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3293 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3294 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 3295 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3296 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3297 | outputTensorInfo.SetQuantizationScale(qScale); |
| 3298 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3299 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3300 | |
| 3301 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 3302 | |
| 3303 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 3304 | { |
| 3305 | ret.compareBoolean = true; |
| 3306 | } |
| 3307 | |
| 3308 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3309 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3310 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3311 | |
| 3312 | Descriptor data; |
| 3313 | armnn::WorkloadInfo info; |
| 3314 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3315 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3316 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3317 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 3318 | |
| 3319 | inputHandle0->Allocate(); |
| 3320 | inputHandle1->Allocate(); |
| 3321 | outputHandle->Allocate(); |
| 3322 | |
| 3323 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3324 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3325 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3326 | workload->PostAllocationConfigure(); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3327 | ExecuteWorkload(*workload, memoryManager); |
| 3328 | |
| 3329 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3330 | |
| 3331 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 3332 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3333 | } |
| 3334 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3335 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 3336 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 3337 | armnn::IWorkloadFactory & workloadFactory, |
| 3338 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 3339 | const unsigned int shape0[4], std::vector<T> values0, |
| 3340 | const unsigned int shape1[4], std::vector<T> values1, |
| 3341 | const unsigned int outShape[4], std::vector<T> outValues, |
| 3342 | float qScale = 0.0f, int qOffset = 0) |
| 3343 | { |
| 3344 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 3345 | (workloadFactory, |
| 3346 | memoryManager, |
| 3347 | shape0, |
| 3348 | values0, |
| 3349 | shape1, |
| 3350 | values1, |
| 3351 | outShape, |
| 3352 | outValues, |
| 3353 | qScale, |
| 3354 | qOffset); |
| 3355 | } |
| 3356 | } |
| 3357 | |
| 3358 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 3359 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3360 | { |
| 3361 | const unsigned int width = 2; |
| 3362 | const unsigned int height = 2; |
| 3363 | const unsigned int channelCount = 2; |
| 3364 | const unsigned int batchSize = 2; |
| 3365 | |
| 3366 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3367 | |
| 3368 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3369 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3370 | |
| 3371 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 3372 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 3373 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3374 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 3375 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3376 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3377 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3378 | workloadFactory, |
| 3379 | memoryManager, |
| 3380 | shape, |
| 3381 | input0, |
| 3382 | shape, |
| 3383 | input1, |
| 3384 | shape, |
| 3385 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3386 | } |
| 3387 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3388 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3389 | armnn::IWorkloadFactory& workloadFactory, |
| 3390 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3391 | { |
| 3392 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3393 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3394 | |
| 3395 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3396 | std::vector<float> input1({ 1 }); |
| 3397 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3398 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3399 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3400 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3401 | workloadFactory, |
| 3402 | memoryManager, |
| 3403 | shape0, |
| 3404 | input0, |
| 3405 | shape1, |
| 3406 | input1, |
| 3407 | shape0, |
| 3408 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3409 | } |
| 3410 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3411 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3412 | armnn::IWorkloadFactory& workloadFactory, |
| 3413 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3414 | { |
| 3415 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3416 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3417 | |
| 3418 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 3419 | 7, 8, 9, 10, 11, 12 }); |
| 3420 | |
| 3421 | std::vector<float> input1({ 1, 2, 3}); |
| 3422 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3423 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 3424 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3425 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3426 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3427 | workloadFactory, |
| 3428 | memoryManager, |
| 3429 | shape0, |
| 3430 | input0, |
| 3431 | shape1, |
| 3432 | input1, |
| 3433 | shape0, |
| 3434 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3435 | } |
| 3436 | |
| 3437 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 3438 | armnn::IWorkloadFactory& workloadFactory, |
| 3439 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3440 | { |
| 3441 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3442 | |
| 3443 | // See dequantized values to the right. |
| 3444 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3445 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3446 | |
| 3447 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3448 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 3449 | |
| 3450 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 3451 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 3452 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3453 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 3454 | armnn::DataType::QuantisedAsymm8, |
| 3455 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3456 | workloadFactory, |
| 3457 | memoryManager, |
| 3458 | shape, |
| 3459 | input0, |
| 3460 | shape, |
| 3461 | input1, |
| 3462 | shape, |
| 3463 | output, |
| 3464 | 1.0f, |
| 3465 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3466 | } |
| 3467 | |
| 3468 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 3469 | armnn::IWorkloadFactory& workloadFactory, |
| 3470 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3471 | { |
| 3472 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3473 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3474 | |
| 3475 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3476 | 7, 8, 9, 10, 11, 12 }); |
| 3477 | |
| 3478 | std::vector<uint8_t> input1({ 1 }); |
| 3479 | |
| 3480 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 3481 | 0, 0, 0, 0, 0, 0 }); |
| 3482 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3483 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 3484 | armnn::DataType::QuantisedAsymm8, |
| 3485 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3486 | workloadFactory, |
| 3487 | memoryManager, |
| 3488 | shape0, |
| 3489 | input0, |
| 3490 | shape1, |
| 3491 | input1, |
| 3492 | shape0, |
| 3493 | output, |
| 3494 | 1.0f, |
| 3495 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3496 | } |
| 3497 | |
| 3498 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 3499 | armnn::IWorkloadFactory& workloadFactory, |
| 3500 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3501 | { |
| 3502 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3503 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3504 | |
| 3505 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3506 | 7, 8, 9, 10, 11, 12 }); |
| 3507 | |
| 3508 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 3509 | |
| 3510 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 3511 | 0, 0, 0, 0, 0, 0 }); |
| 3512 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3513 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 3514 | armnn::DataType::QuantisedAsymm8, |
| 3515 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3516 | workloadFactory, |
| 3517 | memoryManager, |
| 3518 | shape0, |
| 3519 | input0, |
| 3520 | shape1, |
| 3521 | input1, |
| 3522 | shape0, |
| 3523 | output, |
| 3524 | 1.0f, |
| 3525 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 3526 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3527 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3528 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3529 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3530 | { |
| 3531 | const unsigned int width = 2; |
| 3532 | const unsigned int height = 2; |
| 3533 | const unsigned int channelCount = 2; |
| 3534 | const unsigned int batchSize = 2; |
| 3535 | |
| 3536 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3537 | |
| 3538 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3539 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3540 | |
| 3541 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 3542 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 3543 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3544 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 3545 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3546 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3547 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3548 | workloadFactory, |
| 3549 | memoryManager, |
| 3550 | shape, |
| 3551 | input0, |
| 3552 | shape, |
| 3553 | input1, |
| 3554 | shape, |
| 3555 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3556 | } |
| 3557 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3558 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3559 | armnn::IWorkloadFactory& workloadFactory, |
| 3560 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3561 | { |
| 3562 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3563 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3564 | |
| 3565 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3566 | std::vector<float> input1({ 1 }); |
| 3567 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3568 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3569 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3570 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3571 | workloadFactory, |
| 3572 | memoryManager, |
| 3573 | shape0, |
| 3574 | input0, |
| 3575 | shape1, |
| 3576 | input1, |
| 3577 | shape0, |
| 3578 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3579 | } |
| 3580 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3581 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3582 | armnn::IWorkloadFactory& workloadFactory, |
| 3583 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3584 | { |
| 3585 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3586 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3587 | |
| 3588 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 3589 | 7, 8, 9, 10, 11, 12 }); |
| 3590 | |
| 3591 | std::vector<float> input1({ 1, 3, 2}); |
| 3592 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3593 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 3594 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3595 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3596 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3597 | workloadFactory, |
| 3598 | memoryManager, |
| 3599 | shape0, |
| 3600 | input0, |
| 3601 | shape1, |
| 3602 | input1, |
| 3603 | shape0, |
| 3604 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3605 | } |
| 3606 | |
| 3607 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 3608 | armnn::IWorkloadFactory& workloadFactory, |
| 3609 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3610 | { |
| 3611 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3612 | |
| 3613 | // See dequantized values to the right. |
| 3614 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3615 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 3616 | |
| 3617 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3618 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 3619 | |
| 3620 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 3621 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 3622 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3623 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3624 | armnn::DataType::QuantisedAsymm8, |
| 3625 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3626 | workloadFactory, |
| 3627 | memoryManager, |
| 3628 | shape, |
| 3629 | input0, |
| 3630 | shape, |
| 3631 | input1, |
| 3632 | shape, |
| 3633 | output, |
| 3634 | 1.0f, |
| 3635 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3636 | } |
| 3637 | |
| 3638 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 3639 | armnn::IWorkloadFactory& workloadFactory, |
| 3640 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3641 | { |
| 3642 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3643 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3644 | |
| 3645 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3646 | 7, 8, 9, 10, 11, 12 }); |
| 3647 | |
| 3648 | std::vector<uint8_t> input1({ 1 }); |
| 3649 | |
| 3650 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 3651 | 1, 1, 1, 1, 1, 1 }); |
| 3652 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3653 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3654 | armnn::DataType::QuantisedAsymm8, |
| 3655 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3656 | workloadFactory, |
| 3657 | memoryManager, |
| 3658 | shape0, |
| 3659 | input0, |
| 3660 | shape1, |
| 3661 | input1, |
| 3662 | shape0, |
| 3663 | output, |
| 3664 | 1.0f, |
| 3665 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3666 | } |
| 3667 | |
| 3668 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 3669 | armnn::IWorkloadFactory& workloadFactory, |
| 3670 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3671 | { |
| 3672 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3673 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3674 | |
| 3675 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3676 | 7, 8, 9, 10, 11, 12 }); |
| 3677 | |
| 3678 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 3679 | |
| 3680 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 3681 | 1, 1, 1, 1, 1, 1 }); |
| 3682 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3683 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3684 | armnn::DataType::QuantisedAsymm8, |
| 3685 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3686 | workloadFactory, |
| 3687 | memoryManager, |
| 3688 | shape0, |
| 3689 | input0, |
| 3690 | shape1, |
| 3691 | input1, |
| 3692 | shape0, |
| 3693 | output, |
| 3694 | 1.0f, |
| 3695 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3696 | } |
| 3697 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3698 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 3699 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3700 | { |
| 3701 | const unsigned int width = 2; |
| 3702 | const unsigned int height = 2; |
| 3703 | const unsigned int channelCount = 2; |
| 3704 | const unsigned int batchSize = 2; |
| 3705 | |
| 3706 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3707 | |
| 3708 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3709 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3710 | |
| 3711 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3712 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3713 | |
| 3714 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 3715 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3716 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3717 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3718 | workloadFactory, |
| 3719 | memoryManager, |
| 3720 | shape, |
| 3721 | input0, |
| 3722 | shape, |
| 3723 | input1, |
| 3724 | shape, |
| 3725 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3726 | } |
| 3727 | |
| 3728 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 3729 | armnn::IWorkloadFactory& workloadFactory, |
| 3730 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3731 | { |
| 3732 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3733 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3734 | |
| 3735 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3736 | std::vector<float> input1({ 2 }); |
| 3737 | |
| 3738 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 3739 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3740 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3741 | workloadFactory, |
| 3742 | memoryManager, |
| 3743 | shape0, |
| 3744 | input0, |
| 3745 | shape1, |
| 3746 | input1, |
| 3747 | shape0, |
| 3748 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3749 | } |
| 3750 | |
| 3751 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 3752 | armnn::IWorkloadFactory& workloadFactory, |
| 3753 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3754 | { |
| 3755 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3756 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3757 | |
| 3758 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 3759 | 7, 8, 9, 10, 11, 12 }); |
| 3760 | |
| 3761 | std::vector<float> input1({ 1, 2, 3}); |
| 3762 | |
| 3763 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3764 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3765 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3766 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3767 | workloadFactory, |
| 3768 | memoryManager, |
| 3769 | shape0, |
| 3770 | input0, |
| 3771 | shape1, |
| 3772 | input1, |
| 3773 | shape0, |
| 3774 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3775 | } |
| 3776 | |
| 3777 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 3778 | armnn::IWorkloadFactory& workloadFactory, |
| 3779 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3780 | { |
| 3781 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3782 | |
| 3783 | // See dequantized values to the right. |
| 3784 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3785 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3786 | |
| 3787 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3788 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3789 | |
| 3790 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3791 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3792 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3793 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3794 | workloadFactory, |
| 3795 | memoryManager, |
| 3796 | shape, |
| 3797 | input0, |
| 3798 | shape, |
| 3799 | input1, |
| 3800 | shape, |
| 3801 | output, |
| 3802 | 1.0f, |
| 3803 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3804 | } |
| 3805 | |
| 3806 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 3807 | armnn::IWorkloadFactory& workloadFactory, |
| 3808 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3809 | { |
| 3810 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3811 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3812 | |
| 3813 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3814 | 7, 8, 9, 10, 11, 12 }); |
| 3815 | |
| 3816 | std::vector<uint8_t> input1({2}); |
| 3817 | |
| 3818 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 3819 | 7, 8, 9, 10, 11, 12 }); |
| 3820 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3821 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3822 | workloadFactory, |
| 3823 | memoryManager, |
| 3824 | shape0, |
| 3825 | input0, |
| 3826 | shape1, |
| 3827 | input1, |
| 3828 | shape0, |
| 3829 | output, |
| 3830 | 1.0f, |
| 3831 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3832 | } |
| 3833 | |
| 3834 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 3835 | armnn::IWorkloadFactory& workloadFactory, |
| 3836 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3837 | { |
| 3838 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3839 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3840 | |
| 3841 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3842 | 7, 8, 9, 10, 11, 12 }); |
| 3843 | |
| 3844 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 3845 | |
| 3846 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 3847 | 7, 10, 9, 10, 11, 12 }); |
| 3848 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3849 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3850 | workloadFactory, |
| 3851 | memoryManager, |
| 3852 | shape0, |
| 3853 | input0, |
| 3854 | shape1, |
| 3855 | input1, |
| 3856 | shape0, |
| 3857 | output, |
| 3858 | 1.0f, |
| 3859 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3860 | } |
| 3861 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3862 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 3863 | armnn::IWorkloadFactory& workloadFactory, |
| 3864 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3865 | { |
| 3866 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3867 | |
| 3868 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3869 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3870 | |
| 3871 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3872 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3873 | |
| 3874 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3875 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3876 | |
| 3877 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3878 | workloadFactory, |
| 3879 | memoryManager, |
| 3880 | shape, |
| 3881 | input0, |
| 3882 | shape, |
| 3883 | input1, |
| 3884 | shape, |
| 3885 | output, |
| 3886 | 1.0f, |
| 3887 | 0); |
| 3888 | } |
| 3889 | |
| 3890 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 3891 | armnn::IWorkloadFactory& workloadFactory, |
| 3892 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3893 | { |
| 3894 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3895 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3896 | |
| 3897 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3898 | 7, 8, 9, 10, 11, 12 }); |
| 3899 | |
| 3900 | std::vector<int16_t> input1({2}); |
| 3901 | |
| 3902 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 3903 | 7, 8, 9, 10, 11, 12 }); |
| 3904 | |
| 3905 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3906 | workloadFactory, |
| 3907 | memoryManager, |
| 3908 | shape0, |
| 3909 | input0, |
| 3910 | shape1, |
| 3911 | input1, |
| 3912 | shape0, |
| 3913 | output, |
| 3914 | 1.0f, |
| 3915 | 0); |
| 3916 | } |
| 3917 | |
| 3918 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 3919 | armnn::IWorkloadFactory& workloadFactory, |
| 3920 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3921 | { |
| 3922 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3923 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3924 | |
| 3925 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3926 | 7, 8, 9, 10, 11, 12 }); |
| 3927 | |
| 3928 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 3929 | |
| 3930 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 3931 | 7, 10, 9, 10, 11, 12 }); |
| 3932 | |
| 3933 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3934 | workloadFactory, |
| 3935 | memoryManager, |
| 3936 | shape0, |
| 3937 | input0, |
| 3938 | shape1, |
| 3939 | input1, |
| 3940 | shape0, |
| 3941 | output, |
| 3942 | 1.0f, |
| 3943 | 0); |
| 3944 | } |
| 3945 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3946 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 3947 | armnn::IWorkloadFactory& workloadFactory, |
| 3948 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3949 | { |
| 3950 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3951 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3952 | |
| 3953 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3954 | std::vector<float> input1({ 2 }); |
| 3955 | |
| 3956 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 3957 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3958 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3959 | workloadFactory, |
| 3960 | memoryManager, |
| 3961 | shape0, |
| 3962 | input0, |
| 3963 | shape1, |
| 3964 | input1, |
| 3965 | shape0, |
| 3966 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3967 | } |
| 3968 | |
| 3969 | |
| 3970 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 3971 | armnn::IWorkloadFactory& workloadFactory, |
| 3972 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3973 | { |
| 3974 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3975 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 3976 | |
| 3977 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3978 | std::vector<float> input1({ 5 }); |
| 3979 | |
| 3980 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 3981 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3982 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3983 | workloadFactory, |
| 3984 | memoryManager, |
| 3985 | shape0, |
| 3986 | input0, |
| 3987 | shape1, |
| 3988 | input1, |
| 3989 | shape0, |
| 3990 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3991 | } |
| 3992 | |
| 3993 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 3994 | armnn::IWorkloadFactory & workloadFactory, |
| 3995 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 3996 | { |
| 3997 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3998 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3999 | |
| 4000 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 4001 | 7, 1, 2, 3, 4, 5 }); |
| 4002 | |
| 4003 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 4004 | |
| 4005 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 4006 | 1, 1, 2, 1, 2, 3 }); |
| 4007 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4008 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 4009 | workloadFactory, |
| 4010 | memoryManager, |
| 4011 | shape0, |
| 4012 | input0, |
| 4013 | shape1, |
| 4014 | input1, |
| 4015 | shape0, |
| 4016 | output, |
| 4017 | 1.0f, |
| 4018 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 4019 | } |
| 4020 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 4021 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 4022 | armnn::IWorkloadFactory& workloadFactory, |
| 4023 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4024 | { |
| 4025 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 4026 | |
| 4027 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 4028 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 4029 | |
| 4030 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 4031 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 4032 | |
| 4033 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 4034 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 4035 | |
| 4036 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 4037 | workloadFactory, |
| 4038 | memoryManager, |
| 4039 | shape, |
| 4040 | input0, |
| 4041 | shape, |
| 4042 | input1, |
| 4043 | shape, |
| 4044 | output, |
| 4045 | 1.0f, |
| 4046 | 0); |
| 4047 | } |
| 4048 | |
| 4049 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 4050 | armnn::IWorkloadFactory& workloadFactory, |
| 4051 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4052 | { |
| 4053 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 4054 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 4055 | |
| 4056 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 4057 | 7, 8, 9, 10, 11, 12 }); |
| 4058 | |
| 4059 | std::vector<int16_t> input1({2}); |
| 4060 | |
| 4061 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 4062 | 2, 2, 2, 2, 2, 2 }); |
| 4063 | |
| 4064 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 4065 | workloadFactory, |
| 4066 | memoryManager, |
| 4067 | shape0, |
| 4068 | input0, |
| 4069 | shape1, |
| 4070 | input1, |
| 4071 | shape0, |
| 4072 | output, |
| 4073 | 1.0f, |
| 4074 | 0); |
| 4075 | } |
| 4076 | |
| 4077 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 4078 | armnn::IWorkloadFactory& workloadFactory, |
| 4079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4080 | { |
| 4081 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 4082 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 4083 | |
| 4084 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 4085 | 7, 8, 9, 10, 11, 12 }); |
| 4086 | |
| 4087 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 4088 | |
| 4089 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 4090 | 1, 8, 3, 1, 10, 3 }); |
| 4091 | |
| 4092 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 4093 | workloadFactory, |
| 4094 | memoryManager, |
| 4095 | shape0, |
| 4096 | input0, |
| 4097 | shape1, |
| 4098 | input1, |
| 4099 | shape0, |
| 4100 | output, |
| 4101 | 1.0f, |
| 4102 | 0); |
| 4103 | } |
| 4104 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 4105 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4106 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 4107 | armnn::IWorkloadFactory& workloadFactory, |
| 4108 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4109 | const unsigned int shape0[4], |
| 4110 | const std::vector<float> & values0, |
| 4111 | const unsigned int shape1[4], |
| 4112 | const std::vector<float> & values1, |
| 4113 | const unsigned int outShape[4], |
| 4114 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4115 | { |
Rob Hughes | 9e10c2b | 2019-07-23 15:37:19 +0100 | [diff] [blame] | 4116 | const uint32_t dimensionCount = 4; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4117 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 4118 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 4119 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4120 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4121 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 4122 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4123 | |
| 4124 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 4125 | |
| 4126 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 4127 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 4128 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4129 | |
| 4130 | armnn::MultiplicationQueueDescriptor data; |
| 4131 | armnn::WorkloadInfo info; |
| 4132 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 4133 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 4134 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 4135 | |
| 4136 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 4137 | |
| 4138 | inputHandle0->Allocate(); |
| 4139 | inputHandle1->Allocate(); |
| 4140 | outputHandle->Allocate(); |
| 4141 | |
| 4142 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 4143 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 4144 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4145 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4146 | workload->Execute(); |
| 4147 | |
| 4148 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 4149 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4150 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4151 | return ret; |
| 4152 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4153 | } // anonymous namespace |
| 4154 | |
| 4155 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4156 | LayerTestResult<float,4> MultiplicationTest( |
| 4157 | armnn::IWorkloadFactory& workloadFactory, |
| 4158 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4159 | { |
| 4160 | const unsigned int width = 2; |
| 4161 | const unsigned int height = 2; |
| 4162 | const unsigned int channelCount = 2; |
| 4163 | const unsigned int batchSize = 2; |
| 4164 | |
| 4165 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 4166 | |
| 4167 | std::vector<float> input0({ |
| 4168 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 4169 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 4170 | |
| 4171 | std::vector<float> input1({ |
| 4172 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 4173 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 4174 | |
| 4175 | std::vector<float> output({ |
| 4176 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 4177 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 4178 | |
| 4179 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4180 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4181 | shape, |
| 4182 | input0, |
| 4183 | shape, |
| 4184 | input1, |
| 4185 | shape, |
| 4186 | output); |
| 4187 | } |
| 4188 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4189 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 4190 | armnn::IWorkloadFactory& workloadFactory, |
| 4191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4192 | { |
| 4193 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 4194 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 4195 | |
| 4196 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 4197 | std::vector<float> input1({ 2 }); |
| 4198 | |
| 4199 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 4200 | |
| 4201 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4202 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4203 | shape0, |
| 4204 | input0, |
| 4205 | shape1, |
| 4206 | input1, |
| 4207 | shape0, |
| 4208 | output); |
| 4209 | } |
| 4210 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4211 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 4212 | armnn::IWorkloadFactory& workloadFactory, |
| 4213 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4214 | { |
| 4215 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 4216 | std::vector<float> input0({ |
| 4217 | 1, 2, 3, 4, 5, 6, |
| 4218 | 7, 8, 9, 10, 11, 12, |
| 4219 | 13, 14, 15, 16, 17, 18}); |
| 4220 | |
| 4221 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 4222 | std::vector<float> input1({ 1, 2 }); |
| 4223 | |
| 4224 | std::vector<float> output({ |
| 4225 | 1, 4, 3, 8, 5, 12, |
| 4226 | 7, 16, 9, 20, 11, 24, |
| 4227 | 13, 28, 15, 32, 17, 36}); |
| 4228 | |
| 4229 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4230 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 4231 | shape0, |
| 4232 | input0, |
| 4233 | shape1, |
| 4234 | input1, |
| 4235 | shape0, |
| 4236 | output); |
| 4237 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4238 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4239 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 4240 | armnn::IWorkloadFactory& workloadFactory, |
| 4241 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4242 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4243 | { |
| 4244 | const unsigned int width = 16; |
| 4245 | const unsigned int height = 32; |
| 4246 | const unsigned int channelCount = 2; |
| 4247 | const unsigned int batchSize = 5; |
| 4248 | |
| 4249 | armnn::TensorInfo inputTensorInfo0; |
| 4250 | armnn::TensorInfo inputTensorInfo1; |
| 4251 | armnn::TensorInfo outputTensorInfo; |
| 4252 | |
| 4253 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 4254 | |
| 4255 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4256 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4257 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4258 | |
| 4259 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 4260 | |
| 4261 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 4262 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 4263 | |
| 4264 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 4265 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 4266 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4267 | |
| 4268 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 4269 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 4270 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4271 | |
| 4272 | armnn::MultiplicationQueueDescriptor data; |
| 4273 | armnn::WorkloadInfo info; |
| 4274 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 4275 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 4276 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 4277 | |
| 4278 | armnn::MultiplicationQueueDescriptor refData = data; |
| 4279 | armnn::WorkloadInfo refInfo = info; |
| 4280 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 4281 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 4282 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 4283 | |
| 4284 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 4285 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 4286 | |
| 4287 | inputHandle0->Allocate(); |
| 4288 | inputHandle1->Allocate(); |
| 4289 | outputHandle->Allocate(); |
| 4290 | inputHandle0Ref->Allocate(); |
| 4291 | inputHandle1Ref->Allocate(); |
| 4292 | outputHandleRef->Allocate(); |
| 4293 | |
| 4294 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 4295 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 4296 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 4297 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 4298 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4299 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4300 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4301 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4302 | workloadRef->Execute(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4303 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 4304 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 4305 | |
| 4306 | return comparisonResult; |
| 4307 | } |
| 4308 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4309 | LayerTestResult<float,4> CompareBatchNormTest( |
| 4310 | armnn::IWorkloadFactory& workloadFactory, |
| 4311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4312 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4313 | { |
| 4314 | const unsigned int width = 2; |
| 4315 | const unsigned int height = 3; |
| 4316 | const unsigned int channels = 5; |
| 4317 | const unsigned int batchSize = 3; |
| 4318 | |
| 4319 | armnn::TensorInfo inputTensorInfo; |
| 4320 | armnn::TensorInfo outputTensorInfo; |
| 4321 | armnn::TensorInfo tensorInfo; |
| 4322 | |
| 4323 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 4324 | constexpr unsigned int tensorShape[] = {channels}; |
| 4325 | |
| 4326 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4327 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 4328 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 4329 | |
| 4330 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 4331 | |
| 4332 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 4333 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 4334 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 4335 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 4336 | |
| 4337 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 4338 | |
| 4339 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4340 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4341 | |
| 4342 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4343 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4344 | |
| 4345 | armnn::BatchNormalizationQueueDescriptor data; |
| 4346 | armnn::WorkloadInfo info; |
| 4347 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 4348 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 4349 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 4350 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 4351 | |
| 4352 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 4353 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 4354 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 4355 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 4356 | |
| 4357 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 4358 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 4359 | data.m_Mean = &meanTensor; |
| 4360 | data.m_Variance = &varianceTensor; |
| 4361 | data.m_Beta = &betaTensor; |
| 4362 | data.m_Gamma = &gammaTensor; |
| 4363 | data.m_Parameters.m_Eps = 0.01f; |
| 4364 | |
| 4365 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 4366 | armnn::WorkloadInfo refInfo = info; |
| 4367 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 4368 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 4369 | |
| 4370 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 4371 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 4372 | |
| 4373 | inputHandle->Allocate(); |
| 4374 | outputHandle->Allocate(); |
| 4375 | inputHandleRef->Allocate(); |
| 4376 | outputHandleRef->Allocate(); |
| 4377 | |
| 4378 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 4379 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 4380 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4381 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4382 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4383 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4384 | workloadRef->Execute(); |
| 4385 | |
| 4386 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 4387 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 4388 | |
| 4389 | return ret; |
| 4390 | } |
| 4391 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4392 | template<typename T> |
| 4393 | void PermuteTensorData( |
| 4394 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4395 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4396 | const armnn::PermutationVector& mappings, |
| 4397 | armnn::TensorInfo & inputTensorInfo, |
| 4398 | const T * inputData, |
| 4399 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4400 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4401 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 4402 | if (inputData == nullptr) |
| 4403 | { |
| 4404 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 4405 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4406 | // an assert for Debug builds. |
| 4407 | return; |
| 4408 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4409 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4410 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 4411 | |
| 4412 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4413 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4414 | |
| 4415 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 4416 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 4417 | armnn::WorkloadInfo workloadInfo; |
| 4418 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 4419 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 4420 | |
| 4421 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 4422 | |
| 4423 | inputHandle->Allocate(); |
| 4424 | outputHandle->Allocate(); |
| 4425 | |
| 4426 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 4427 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4428 | workload->PostAllocationConfigure(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4429 | workload->Execute(); |
| 4430 | |
| 4431 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 4432 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 4433 | inputTensorInfo = outputTensorInfo; |
| 4434 | } |
| 4435 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4436 | armnn::OriginsDescriptor CreateDescriptorForConcatenation( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4437 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 4438 | unsigned int concatDim) |
| 4439 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4440 | std::vector<armnn::TensorShape> shapes; |
| 4441 | shapes.reserve(inputTensorInfos.size()); |
| 4442 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 4443 | { |
| 4444 | shapes.push_back(it.GetShape()); |
| 4445 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4446 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4447 | return armnn::CreateDescriptorForConcatenation(shapes.begin(), |
| 4448 | shapes.end(), |
| 4449 | concatDim); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4450 | } |
| 4451 | |
| 4452 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4453 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 4454 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 4455 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4456 | // |
| 4457 | |
| 4458 | bool NeedPermuteForConcat( |
| 4459 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 4460 | unsigned int concatDim) |
| 4461 | { |
| 4462 | // See note above. Additionally we expect the input shapes to have the |
| 4463 | // same number of dimensions. |
| 4464 | unsigned int nDimensions = 0; |
| 4465 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4466 | // Determine the number of dimensions as well as sanity check them |
| 4467 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4468 | for (auto && tensorInfo : inputTensorInfos) |
| 4469 | { |
| 4470 | if (!nDimensions) |
| 4471 | { |
| 4472 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 4473 | } |
| 4474 | else |
| 4475 | { |
| 4476 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 4477 | "Input shapes must have the same number of dimensions"); |
| 4478 | } |
| 4479 | } |
| 4480 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4481 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4482 | } |
| 4483 | |
| 4484 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 4485 | { |
| 4486 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 4487 | if (numDims >= 3) |
| 4488 | { |
| 4489 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 4490 | return inputShape; |
| 4491 | } |
| 4492 | |
| 4493 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 4494 | unsigned int expandedBy = 3 - numDims; |
| 4495 | for (unsigned int i=0; i<numDims; ++i) |
| 4496 | { |
| 4497 | newDims[expandedBy+i] = inputShape[i]; |
| 4498 | } |
| 4499 | return armnn::TensorShape(3u, &newDims[0]); |
| 4500 | } |
| 4501 | |
| 4502 | void Generate3dPermuteVectorForConcat( |
| 4503 | unsigned int numDimensions, |
| 4504 | unsigned int & concatDim, |
| 4505 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 4506 | { |
| 4507 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 4508 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4509 | unsigned int expandedBy = 3 - numDimensions; |
| 4510 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 4511 | |
| 4512 | if (expandedConcatAxis == 2) |
| 4513 | { |
| 4514 | concatDim = 0; |
| 4515 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 4516 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 4517 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 4518 | } |
| 4519 | else if (expandedConcatAxis == 1) |
| 4520 | { |
| 4521 | concatDim = 0; |
| 4522 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 4523 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 4524 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 4525 | } |
| 4526 | else |
| 4527 | { |
| 4528 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 4529 | concatDim = 0; |
| 4530 | } |
| 4531 | } |
| 4532 | |
| 4533 | // |
| 4534 | // Permute the input tensors so we can do a supported concatenation. |
| 4535 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 4536 | // at the front. Finally this function tells what the output shape |
| 4537 | // of the permuted concatenated tensor is going to be. |
| 4538 | // |
| 4539 | template <typename T> |
| 4540 | void PermuteInputsForConcat( |
| 4541 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4542 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4543 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 4544 | std::vector<T *> & inputData, |
| 4545 | std::vector<std::vector<T>> & inputDataStorage, |
| 4546 | armnn::PermutationVector & permuteVector, |
| 4547 | unsigned int & concatDim, |
| 4548 | armnn::TensorInfo & outputTensorInfo) |
| 4549 | { |
| 4550 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 4551 | "Expecting more than one tensor to be concatenated here"); |
| 4552 | |
| 4553 | unsigned int numDims = 0; |
| 4554 | unsigned int nthInput = 0; |
| 4555 | const armnn::PermutationVector identity({0, 1, 2}); |
| 4556 | |
| 4557 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 4558 | std::make_pair(identity, identity); |
| 4559 | |
| 4560 | inputDataStorage.resize(inputData.size()); |
| 4561 | |
| 4562 | for (auto && tensorInfo : inputTensorInfos) |
| 4563 | { |
| 4564 | if (numDims == 0) |
| 4565 | { |
| 4566 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 4567 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4568 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4569 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4570 | permuteVector = permutations.second; |
| 4571 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 4572 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 4573 | } |
| 4574 | else |
| 4575 | { |
| 4576 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 4577 | "All inputs must have the same number of dimensions"); |
| 4578 | } |
| 4579 | |
| 4580 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 4581 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 4582 | |
| 4583 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4584 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4585 | permutations.first, |
| 4586 | newTensorInfo, |
| 4587 | inputData[nthInput], |
| 4588 | inputDataStorage[nthInput]); |
| 4589 | |
| 4590 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 4591 | inputTensorInfos[nthInput] = newTensorInfo; |
| 4592 | |
| 4593 | ++nthInput; |
| 4594 | } |
| 4595 | |
| 4596 | outputTensorInfo.SetShape( |
| 4597 | armnnUtils::Permuted( |
| 4598 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 4599 | permutations.first)); |
| 4600 | } |
| 4601 | |
| 4602 | |
| 4603 | // |
| 4604 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4605 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4606 | // output. |
| 4607 | // |
| 4608 | template <typename T> |
| 4609 | void PermuteOutputForConcat( |
| 4610 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4611 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4612 | const armnn::TensorInfo & tensorInfo, |
| 4613 | const armnn::PermutationVector & permuteVector, |
| 4614 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 4615 | T * data) |
| 4616 | { |
| 4617 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 4618 | if (data == nullptr) |
| 4619 | { |
| 4620 | // Nullptr is an error in the test. By returning without doing the permutation |
| 4621 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4622 | // an assert for Debug builds. |
| 4623 | return; |
| 4624 | } |
| 4625 | |
| 4626 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 4627 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 4628 | std::vector<T> outputData; |
| 4629 | |
| 4630 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 4631 | |
| 4632 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4633 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4634 | permuteVector, |
| 4635 | resultTensorInfo, |
| 4636 | &inputData[0], |
| 4637 | outputData); |
| 4638 | |
| 4639 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 4640 | } |
| 4641 | |
| 4642 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4643 | void Concatenate( |
| 4644 | armnn::IWorkloadFactory& workloadFactory, |
| 4645 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4646 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 4647 | std::initializer_list<T *> inputsOrig, |
| 4648 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 4649 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4650 | unsigned int concatDim, |
| 4651 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4652 | { |
| 4653 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 4654 | if (output == nullptr) |
| 4655 | { |
| 4656 | // Nullptr is an error in the test. By returning without doing the permutation |
| 4657 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4658 | // an assert for Debug builds. |
| 4659 | return; |
| 4660 | } |
| 4661 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4662 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4663 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 4664 | std::vector<T *> inputs = inputsOrig; |
| 4665 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 4666 | |
| 4667 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 4668 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4669 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4670 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 4671 | |
| 4672 | const size_t inputCount = inputTensorInfos.size(); |
| 4673 | |
| 4674 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 4675 | |
| 4676 | if (needPermuteForConcat) |
| 4677 | { |
| 4678 | // |
| 4679 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4680 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4681 | // |
| 4682 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4683 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4684 | inputTensorInfos, |
| 4685 | inputs, |
| 4686 | tmpInputDataStorage, |
| 4687 | permuteVector, |
| 4688 | concatDim, |
| 4689 | outputTensorInfo); |
| 4690 | } |
| 4691 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4692 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4693 | |
| 4694 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 4695 | inputHandles.reserve(inputCount); |
| 4696 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4697 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4698 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 4699 | armnn::ConcatQueueDescriptor queueDescriptor; |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4700 | armnn::OriginsDescriptor viewsDescriptor = CreateDescriptorForConcatenation(inputTensorInfos, concatDim); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4701 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 4702 | |
| 4703 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4704 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4705 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 4706 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 4707 | { |
| 4708 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 4709 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 4710 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4711 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4712 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4713 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4714 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 4715 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4716 | { |
| 4717 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 4718 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 4719 | subTensorsSupported ? |
| 4720 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 4721 | inputTensorInfo.GetShape(), |
| 4722 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 4723 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4724 | |
| 4725 | inputHandles.emplace_back(std::move(inputHandle)); |
| 4726 | } |
| 4727 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4728 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4729 | else |
| 4730 | { |
| 4731 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4732 | { |
| 4733 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 4734 | inputHandles.emplace_back(std::move(inputHandle)); |
| 4735 | } |
| 4736 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4737 | |
| 4738 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4739 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4740 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4741 | } |
| 4742 | |
| 4743 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 4744 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 4745 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(queueDescriptor, workloadInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4746 | |
| 4747 | for (auto& inputHandle : inputHandles) |
| 4748 | { |
| 4749 | inputHandle->Allocate(); |
| 4750 | } |
| 4751 | |
| 4752 | outputHandle->Allocate(); |
| 4753 | |
| 4754 | unsigned int nextInputId = 0; |
| 4755 | for (auto& inputHandle : inputHandles) |
| 4756 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4757 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 4758 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4759 | } |
| 4760 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4761 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4762 | workload->Execute(); |
| 4763 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4764 | if (needPermuteForConcat) |
| 4765 | { |
| 4766 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4767 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4768 | outputTensorInfo, |
| 4769 | permuteVector, |
| 4770 | std::move(outputHandle), |
| 4771 | output); |
| 4772 | } |
| 4773 | else |
| 4774 | { |
| 4775 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 4776 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4777 | } |
| 4778 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4779 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4780 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 4781 | armnn::IWorkloadFactory& workloadFactory, |
| 4782 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4783 | float qScale, |
| 4784 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4785 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4786 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4787 | |
| 4788 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 4789 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 4790 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 4791 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4792 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4793 | |
| 4794 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 4795 | |
| 4796 | std::vector<T> output; |
| 4797 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4798 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4799 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4800 | { input0.data(), input1.data(), input2.data() }, |
| 4801 | outputTensorInfo, |
| 4802 | output.data(), |
| 4803 | 0, |
| 4804 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4805 | |
| 4806 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 4807 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4808 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 4809 | })); |
| 4810 | |
| 4811 | return result; |
| 4812 | } |
| 4813 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4814 | LayerTestResult<float, 1> Concatenation1dTest( |
| 4815 | armnn::IWorkloadFactory& workloadFactory, |
| 4816 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4817 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4818 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4819 | } |
| 4820 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4821 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4822 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 4823 | armnn::IWorkloadFactory& workloadFactory, |
| 4824 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4825 | const armnn::TensorInfo& outputTensorInfo, |
| 4826 | unsigned int dimension, |
| 4827 | const float qScale, |
| 4828 | const int32_t qOffset) |
| 4829 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4830 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4831 | |
| 4832 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4833 | // Batch 0 |
| 4834 | 1.0f, 2.0f, 3.0f, |
| 4835 | |
| 4836 | // Batch 1 |
| 4837 | 10.0f, 11.0f, 12.0f, |
| 4838 | })); |
| 4839 | |
| 4840 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4841 | // Batch 0 |
| 4842 | 4.0f, 5.0f, 6.0f, |
| 4843 | |
| 4844 | // Batch 1 |
| 4845 | 13.0f, 14.0f, 15.0f, |
| 4846 | })); |
| 4847 | |
| 4848 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4849 | // Batch 0 |
| 4850 | 7.0f, 8.0f, 9.0f, |
| 4851 | |
| 4852 | // Batch 1 |
| 4853 | 16.0f, 17.0f, 18.0f, |
| 4854 | })); |
| 4855 | |
| 4856 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4857 | |
| 4858 | std::vector<T> output; |
| 4859 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4860 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4861 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4862 | { input0.data(), input1.data(), input2.data() }, |
| 4863 | outputTensorInfo, |
| 4864 | output.data(), |
| 4865 | dimension, |
| 4866 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4867 | |
| 4868 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4869 | return result; |
| 4870 | } |
| 4871 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4872 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4873 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 4874 | armnn::IWorkloadFactory& workloadFactory, |
| 4875 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4876 | float qScale, |
| 4877 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4878 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4879 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4880 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4881 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4882 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 4883 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4884 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4885 | // Batch 0 |
| 4886 | 1.0f, 2.0f, 3.0f, |
| 4887 | |
| 4888 | // Batch 1 |
| 4889 | 10.0f, 11.0f, 12.0f, |
| 4890 | |
| 4891 | // Batch 2 |
| 4892 | 4.0f, 5.0f, 6.0f, |
| 4893 | |
| 4894 | // Batch 3 |
| 4895 | 13.0f, 14.0f, 15.0f, |
| 4896 | |
| 4897 | // Batch 4 |
| 4898 | 7.0f, 8.0f, 9.0f, |
| 4899 | |
| 4900 | // Batch 5 |
| 4901 | 16.0f, 17.0f, 18.0f, |
| 4902 | })); |
| 4903 | |
| 4904 | return result; |
| 4905 | } |
| 4906 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4907 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 4908 | armnn::IWorkloadFactory& workloadFactory, |
| 4909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4910 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4911 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4912 | } |
| 4913 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4914 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4915 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 4916 | armnn::IWorkloadFactory& workloadFactory, |
| 4917 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4918 | float qScale, |
| 4919 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4920 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4921 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4922 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4923 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4924 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 4925 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4926 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4927 | // Batch 0 |
| 4928 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 4929 | |
| 4930 | // Batch 1 |
| 4931 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 4932 | })); |
| 4933 | |
| 4934 | return result; |
| 4935 | } |
| 4936 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4937 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 4938 | armnn::IWorkloadFactory& workloadFactory, |
| 4939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4940 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4941 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4942 | } |
| 4943 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4944 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4945 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 4946 | armnn::IWorkloadFactory& workloadFactory, |
| 4947 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4948 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4949 | int32_t qOffset) |
| 4950 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4951 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4952 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4953 | // Batch 0 |
| 4954 | 1.0f, 2.0f, 3.0f, |
| 4955 | |
| 4956 | // Batch 1 |
| 4957 | 10.0f, 11.0f, 12.0f, |
| 4958 | })); |
| 4959 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4960 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4961 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4962 | // Batch 0 |
| 4963 | 4.0f, 5.0f, 6.0f, |
| 4964 | |
| 4965 | // Batch 1 |
| 4966 | 13.0f, 14.0f, 15.0f, |
| 4967 | |
| 4968 | // Batch 0 |
| 4969 | 7.0f, 8.0f, 9.0f, |
| 4970 | })); |
| 4971 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4972 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4973 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4974 | // Batch 1 |
| 4975 | 16.0f, 17.0f, 18.0f, |
| 4976 | })); |
| 4977 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4978 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4979 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4980 | |
| 4981 | std::vector<T> output; |
| 4982 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4983 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4984 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4985 | { input0.data(), input1.data(), input2.data() }, |
| 4986 | outputTensorInfo, |
| 4987 | output.data(), |
| 4988 | 0, |
| 4989 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4990 | |
| 4991 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4992 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4993 | // Batch 0 |
| 4994 | 1.0f, 2.0f, 3.0f, |
| 4995 | |
| 4996 | // Batch 1 |
| 4997 | 10.0f, 11.0f, 12.0f, |
| 4998 | |
| 4999 | // Batch 2 |
| 5000 | 4.0f, 5.0f, 6.0f, |
| 5001 | |
| 5002 | // Batch 3 |
| 5003 | 13.0f, 14.0f, 15.0f, |
| 5004 | |
| 5005 | // Batch 4 |
| 5006 | 7.0f, 8.0f, 9.0f, |
| 5007 | |
| 5008 | // Batch 5 |
| 5009 | 16.0f, 17.0f, 18.0f, |
| 5010 | })); |
| 5011 | |
| 5012 | return result; |
| 5013 | } |
| 5014 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5015 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 5016 | armnn::IWorkloadFactory& workloadFactory, |
| 5017 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5018 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5019 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5020 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5021 | } |
| 5022 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5023 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5024 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 5025 | armnn::IWorkloadFactory& workloadFactory, |
| 5026 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5027 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5028 | int32_t qOffset) |
| 5029 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5030 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5031 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5032 | // Batch 0 |
| 5033 | 1.0f, 2.0f, 3.0f, |
| 5034 | |
| 5035 | // Batch 1 |
| 5036 | 10.0f, 11.0f, 12.0f, |
| 5037 | })); |
| 5038 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5039 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5040 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5041 | // Batch 0 |
| 5042 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 5043 | |
| 5044 | // Batch 1 |
| 5045 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 5046 | })); |
| 5047 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5048 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5049 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5050 | // Batch 0 |
| 5051 | 9.0f, |
| 5052 | |
| 5053 | // Batch 1 |
| 5054 | 18.0f |
| 5055 | })); |
| 5056 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5057 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5058 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5059 | |
| 5060 | std::vector<T> output; |
| 5061 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5062 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5063 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5064 | { input0.data(), input1.data(), input2.data() }, |
| 5065 | outputTensorInfo, |
| 5066 | output.data(), |
| 5067 | 1, |
| 5068 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5069 | |
| 5070 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 5071 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5072 | // Batch 0 |
| 5073 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 5074 | |
| 5075 | // Batch 1 |
| 5076 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 5077 | })); |
| 5078 | |
| 5079 | return result; |
| 5080 | } |
| 5081 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5082 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 5083 | armnn::IWorkloadFactory& workloadFactory, |
| 5084 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5085 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5086 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5087 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5088 | } |
| 5089 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5090 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5091 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 5092 | armnn::IWorkloadFactory& workloadFactory, |
| 5093 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5094 | const armnn::TensorInfo& outputTensorInfo, |
| 5095 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5096 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5097 | float qScale, |
| 5098 | int32_t qOffset) |
| 5099 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5100 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5101 | |
| 5102 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5103 | // Batch 0, Channel 0 |
| 5104 | 1.0f, 2.0f, |
| 5105 | |
| 5106 | // Batch 0, Channel 1 |
| 5107 | 3.0f, 4.0f, |
| 5108 | |
| 5109 | // Batch 0, Channel 2 |
| 5110 | 5.0f, 6.0f, |
| 5111 | |
| 5112 | // Batch 1, Channel 0 |
| 5113 | 19.0f, 20.0f, |
| 5114 | |
| 5115 | // Batch 1, Channel 1 |
| 5116 | 21.0f, 22.0f, |
| 5117 | |
| 5118 | // Batch 1, Channel 2 |
| 5119 | 23.0f, 24.0f |
| 5120 | })); |
| 5121 | |
| 5122 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5123 | // Batch 0, Channel 0 |
| 5124 | 7.0f, 8.0f, |
| 5125 | |
| 5126 | // Batch 0, Channel 1 |
| 5127 | 9.0f, 10.0f, |
| 5128 | |
| 5129 | // Batch 0, Channel 2 |
| 5130 | 11.0f, 12.0f, |
| 5131 | |
| 5132 | // Batch 1, Channel 0 |
| 5133 | 25.0f, 26.0f, |
| 5134 | |
| 5135 | // Batch 1, Channel 1 |
| 5136 | 27.0f, 28.0f, |
| 5137 | |
| 5138 | // Batch 1, Channel 2 |
| 5139 | 29.0f, 30.0f |
| 5140 | })); |
| 5141 | |
| 5142 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5143 | // Batch 0, Channel 0 |
| 5144 | 13.0f, 14.0f, |
| 5145 | |
| 5146 | // Batch 0, Channel 1 |
| 5147 | 15.0f, 16.0f, |
| 5148 | |
| 5149 | // Batch 0, Channel 2 |
| 5150 | 17.0f, 18.0f, |
| 5151 | |
| 5152 | // Batch 1, Channel 0 |
| 5153 | 31.0f, 32.0f, |
| 5154 | |
| 5155 | // Batch 1, Channel 1 |
| 5156 | 33.0f, 34.0f, |
| 5157 | |
| 5158 | // Batch 1, Channel 2 |
| 5159 | 35.0f, 36.0f |
| 5160 | })); |
| 5161 | |
| 5162 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5163 | |
| 5164 | std::vector<T> output; |
| 5165 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5166 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5167 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 5168 | { input0.data(), input1.data(), input2.data() }, |
| 5169 | outputTensorInfo, |
| 5170 | output.data(), |
| 5171 | dimension, |
| 5172 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5173 | |
| 5174 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5175 | return result; |
| 5176 | } |
| 5177 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5178 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5179 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 5180 | armnn::IWorkloadFactory& workloadFactory, |
| 5181 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5182 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5183 | int32_t qOffset) |
| 5184 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5185 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5186 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5187 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 5188 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 5189 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5190 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5191 | // Batch 0, Channel 0 |
| 5192 | 1.0f, 2.0f, |
| 5193 | |
| 5194 | // Batch 0, Channel 1 |
| 5195 | 3.0f, 4.0f, |
| 5196 | |
| 5197 | // Batch 0, Channel 2 |
| 5198 | 5.0f, 6.0f, |
| 5199 | |
| 5200 | // Batch 1, Channel 0 |
| 5201 | 19.0f, 20.0f, |
| 5202 | |
| 5203 | // Batch 1, Channel 1 |
| 5204 | 21.0f, 22.0f, |
| 5205 | |
| 5206 | // Batch 1, Channel 2 |
| 5207 | 23.0f, 24.0f, |
| 5208 | |
| 5209 | // Batch 2, Channel 0 |
| 5210 | 7.0f, 8.0f, |
| 5211 | |
| 5212 | // Batch 2, Channel 1 |
| 5213 | 9.0f, 10.0f, |
| 5214 | |
| 5215 | // Batch 2, Channel 2 |
| 5216 | 11.0f, 12.0f, |
| 5217 | |
| 5218 | // Batch 3, Channel 0 |
| 5219 | 25.0f, 26.0f, |
| 5220 | |
| 5221 | // Batch 3, Channel 1 |
| 5222 | 27.0f, 28.0f, |
| 5223 | |
| 5224 | // Batch 3, Channel 2 |
| 5225 | 29.0f, 30.0f, |
| 5226 | |
| 5227 | // Batch 4, Channel 0 |
| 5228 | 13.0f, 14.0f, |
| 5229 | |
| 5230 | // Batch 4, Channel 1 |
| 5231 | 15.0f, 16.0f, |
| 5232 | |
| 5233 | // Batch 4, Channel 2 |
| 5234 | 17.0f, 18.0f, |
| 5235 | |
| 5236 | // Batch 5, Channel 0 |
| 5237 | 31.0f, 32.0f, |
| 5238 | |
| 5239 | // Batch 5, Channel 1 |
| 5240 | 33.0f, 34.0f, |
| 5241 | |
| 5242 | // Batch 5, Channel 2 |
| 5243 | 35.0f, 36.0f |
| 5244 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5245 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5246 | return result; |
| 5247 | } |
| 5248 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5249 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 5250 | armnn::IWorkloadFactory& workloadFactory, |
| 5251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5252 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5253 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5254 | } |
| 5255 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5256 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5257 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 5258 | armnn::IWorkloadFactory& workloadFactory, |
| 5259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5260 | float qScale, |
| 5261 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5262 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5263 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5264 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5265 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 5266 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5267 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5268 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5269 | // Batch 0, Channel 0 |
| 5270 | 1.0f, 2.0f, |
| 5271 | |
| 5272 | // Batch 0, Channel 1 |
| 5273 | 3.0f, 4.0f, |
| 5274 | |
| 5275 | // Batch 0, Channel 2 |
| 5276 | 5.0f, 6.0f, |
| 5277 | |
| 5278 | // Batch 0, Channel 3 |
| 5279 | 7.0f, 8.0f, |
| 5280 | |
| 5281 | // Batch 0, Channel 4 |
| 5282 | 9.0f, 10.0f, |
| 5283 | |
| 5284 | // Batch 0, Channel 5 |
| 5285 | 11.0f, 12.0f, |
| 5286 | |
| 5287 | // Batch 0, Channel 6 |
| 5288 | 13.0f, 14.0f, |
| 5289 | |
| 5290 | // Batch 0, Channel 7 |
| 5291 | 15.0f, 16.0f, |
| 5292 | |
| 5293 | // Batch 0, Channel 8 |
| 5294 | 17.0f, 18.0f, |
| 5295 | |
| 5296 | // Batch 1, Channel 0 |
| 5297 | 19.0f, 20.0f, |
| 5298 | |
| 5299 | // Batch 1, Channel 1 |
| 5300 | 21.0f, 22.0f, |
| 5301 | |
| 5302 | // Batch 1, Channel 2 |
| 5303 | 23.0f, 24.0f, |
| 5304 | |
| 5305 | // Batch 1, Channel 3 |
| 5306 | 25.0f, 26.0f, |
| 5307 | |
| 5308 | // Batch 1, Channel 4 |
| 5309 | 27.0f, 28.0f, |
| 5310 | |
| 5311 | // Batch 1, Channel 5 |
| 5312 | 29.0f, 30.0f, |
| 5313 | |
| 5314 | // Batch 1, Channel 6 |
| 5315 | 31.0f, 32.0f, |
| 5316 | |
| 5317 | // Batch 1, Channel 7 |
| 5318 | 33.0f, 34.0f, |
| 5319 | |
| 5320 | // Batch 1, Channel 8 |
| 5321 | 35.0f, 36.0f |
| 5322 | })); |
| 5323 | |
| 5324 | return result; |
| 5325 | } |
| 5326 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5327 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 5328 | armnn::IWorkloadFactory& workloadFactory, |
| 5329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5330 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5331 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5332 | } |
| 5333 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5334 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5335 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 5336 | armnn::IWorkloadFactory& workloadFactory, |
| 5337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5338 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5339 | float qScale, |
| 5340 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5341 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5342 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5343 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5344 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 5345 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5346 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5347 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5348 | // Batch 0, Channel 0 |
| 5349 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 5350 | |
| 5351 | // Batch 0, Channel 1 |
| 5352 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 5353 | |
| 5354 | // Batch 0, Channel 2 |
| 5355 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 5356 | |
| 5357 | // Batch 1, Channel 0 |
| 5358 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 5359 | |
| 5360 | // Batch 1, Channel 1 |
| 5361 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 5362 | |
| 5363 | // Batch 1, Channel 2 |
| 5364 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 5365 | })); |
| 5366 | |
| 5367 | return result; |
| 5368 | } |
| 5369 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5370 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 5371 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5372 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5373 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5374 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5375 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 5376 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5377 | } |
| 5378 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5379 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5380 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 5381 | armnn::IWorkloadFactory& workloadFactory, |
| 5382 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5383 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5384 | int32_t qOffset) |
| 5385 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5386 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5387 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5388 | // Batch 0, Channel 0 |
| 5389 | 1.0f, 2.0f, |
| 5390 | |
| 5391 | // Batch 0, Channel 1 |
| 5392 | 3.0f, 4.0f, |
| 5393 | |
| 5394 | // Batch 0, Channel 2 |
| 5395 | 5.0f, 6.0f, |
| 5396 | |
| 5397 | // Batch 1, Channel 0 |
| 5398 | 19.0f, 20.0f, |
| 5399 | |
| 5400 | // Batch 1, Channel 1 |
| 5401 | 21.0f, 22.0f, |
| 5402 | |
| 5403 | // Batch 1, Channel 2 |
| 5404 | 23.0f, 24.0f |
| 5405 | })); |
| 5406 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5407 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5408 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5409 | // Batch 0, Channel 0 |
| 5410 | 7.0f, 8.0f, |
| 5411 | |
| 5412 | // Batch 0, Channel 1 |
| 5413 | 9.0f, 10.0f, |
| 5414 | |
| 5415 | // Batch 0, Channel 2 |
| 5416 | 11.0f, 12.0f, |
| 5417 | })); |
| 5418 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5419 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5420 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5421 | // Batch 0, Channel 0 |
| 5422 | 25.0f, 26.0f, |
| 5423 | |
| 5424 | // Batch 0, Channel 1 |
| 5425 | 27.0f, 28.0f, |
| 5426 | |
| 5427 | // Batch 0, Channel 2 |
| 5428 | 29.0f, 30.0f, |
| 5429 | |
| 5430 | // Batch 1, Channel 0 |
| 5431 | 13.0f, 14.0f, |
| 5432 | |
| 5433 | // Batch 1, Channel 1 |
| 5434 | 15.0f, 16.0f, |
| 5435 | |
| 5436 | // Batch 1, Channel 2 |
| 5437 | 17.0f, 18.0f, |
| 5438 | |
| 5439 | // Batch 2, Channel 0 |
| 5440 | 31.0f, 32.0f, |
| 5441 | |
| 5442 | // Batch 2, Channel 1 |
| 5443 | 33.0f, 34.0f, |
| 5444 | |
| 5445 | // Batch 2, Channel 2 |
| 5446 | 35.0f, 36.0f |
| 5447 | })); |
| 5448 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5449 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5450 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5451 | |
| 5452 | std::vector<T> output; |
| 5453 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5454 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5455 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5456 | { input0.data(), input1.data(), input2.data() }, |
| 5457 | outputTensorInfo, |
| 5458 | output.data(), |
| 5459 | 0, |
| 5460 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5461 | |
| 5462 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5463 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5464 | // Batch 0, Channel 0 |
| 5465 | 1.0f, 2.0f, |
| 5466 | |
| 5467 | // Batch 0, Channel 1 |
| 5468 | 3.0f, 4.0f, |
| 5469 | |
| 5470 | // Batch 0, Channel 2 |
| 5471 | 5.0f, 6.0f, |
| 5472 | |
| 5473 | // Batch 1, Channel 0 |
| 5474 | 19.0f, 20.0f, |
| 5475 | |
| 5476 | // Batch 1, Channel 1 |
| 5477 | 21.0f, 22.0f, |
| 5478 | |
| 5479 | // Batch 1, Channel 2 |
| 5480 | 23.0f, 24.0f, |
| 5481 | |
| 5482 | // Batch 2, Channel 0 |
| 5483 | 7.0f, 8.0f, |
| 5484 | |
| 5485 | // Batch 2, Channel 1 |
| 5486 | 9.0f, 10.0f, |
| 5487 | |
| 5488 | // Batch 2, Channel 2 |
| 5489 | 11.0f, 12.0f, |
| 5490 | |
| 5491 | // Batch 3, Channel 0 |
| 5492 | 25.0f, 26.0f, |
| 5493 | |
| 5494 | // Batch 3, Channel 1 |
| 5495 | 27.0f, 28.0f, |
| 5496 | |
| 5497 | // Batch 3, Channel 2 |
| 5498 | 29.0f, 30.0f, |
| 5499 | |
| 5500 | // Batch 4, Channel 0 |
| 5501 | 13.0f, 14.0f, |
| 5502 | |
| 5503 | // Batch 4, Channel 1 |
| 5504 | 15.0f, 16.0f, |
| 5505 | |
| 5506 | // Batch 4, Channel 2 |
| 5507 | 17.0f, 18.0f, |
| 5508 | |
| 5509 | // Batch 5, Channel 0 |
| 5510 | 31.0f, 32.0f, |
| 5511 | |
| 5512 | // Batch 5, Channel 1 |
| 5513 | 33.0f, 34.0f, |
| 5514 | |
| 5515 | // Batch 5, Channel 2 |
| 5516 | 35.0f, 36.0f |
| 5517 | })); |
| 5518 | |
| 5519 | return result; |
| 5520 | } |
| 5521 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5522 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 5523 | armnn::IWorkloadFactory& workloadFactory, |
| 5524 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5525 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5526 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5527 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5528 | } |
| 5529 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5530 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5531 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 5532 | armnn::IWorkloadFactory& workloadFactory, |
| 5533 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5534 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5535 | int32_t qOffset) |
| 5536 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5537 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5538 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5539 | // Batch 0, Channel 0 |
| 5540 | 1.0f, 2.0f, |
| 5541 | |
| 5542 | // Batch 0, Channel 1 |
| 5543 | 3.0f, 4.0f, |
| 5544 | |
| 5545 | // Batch 0, Channel 2 |
| 5546 | 5.0f, 6.0f, |
| 5547 | |
| 5548 | // Batch 1, Channel 0 |
| 5549 | 19.0f, 20.0f, |
| 5550 | |
| 5551 | // Batch 1, Channel 1 |
| 5552 | 21.0f, 22.0f, |
| 5553 | |
| 5554 | // Batch 1, Channel 2 |
| 5555 | 23.0f, 24.0f |
| 5556 | })); |
| 5557 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5558 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5559 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5560 | // Batch 0, Channel 0 |
| 5561 | 7.0f, 8.0f, |
| 5562 | |
| 5563 | // Batch 0, Channel 1 |
| 5564 | 9.0f, 10.0f, |
| 5565 | |
| 5566 | // Batch 0, Channel 2 |
| 5567 | 11.0f, 12.0f, |
| 5568 | |
| 5569 | // Batch 0, Channel 3 |
| 5570 | 25.0f, 26.0f, |
| 5571 | |
| 5572 | // Batch 1, Channel 0 |
| 5573 | 27.0f, 28.0f, |
| 5574 | |
| 5575 | // Batch 1, Channel 1 |
| 5576 | 29.0f, 30.0f, |
| 5577 | |
| 5578 | // Batch 1, Channel 2 |
| 5579 | 13.0f, 14.0f, |
| 5580 | |
| 5581 | // Batch 1, Channel 3 |
| 5582 | 15.0f, 16.0f, |
| 5583 | })); |
| 5584 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5585 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5586 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5587 | // Batch 0, Channel 0 |
| 5588 | 17.0f, 18.0f, |
| 5589 | |
| 5590 | // Batch 1, Channel 0 |
| 5591 | 31.0f, 32.0f, |
| 5592 | })); |
| 5593 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5594 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5595 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5596 | |
| 5597 | std::vector<T> output; |
| 5598 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5599 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5600 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5601 | { input0.data(), input1.data(), input2.data() }, |
| 5602 | outputTensorInfo, |
| 5603 | output.data(), |
| 5604 | 1, |
| 5605 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5606 | |
| 5607 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5608 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5609 | // Batch 0, Channel 0 |
| 5610 | 1.0f, 2.0f, |
| 5611 | |
| 5612 | // Batch 0, Channel 1 |
| 5613 | 3.0f, 4.0f, |
| 5614 | |
| 5615 | // Batch 0, Channel 2 |
| 5616 | 5.0f, 6.0f, |
| 5617 | |
| 5618 | // Batch 0, Channel 3 |
| 5619 | 7.0f, 8.0f, |
| 5620 | |
| 5621 | // Batch 0, Channel 4 |
| 5622 | 9.0f, 10.0f, |
| 5623 | |
| 5624 | // Batch 0, Channel 5 |
| 5625 | 11.0f, 12.0f, |
| 5626 | |
| 5627 | // Batch 0, Channel 6 |
| 5628 | 25.0f, 26.0f, |
| 5629 | |
| 5630 | // Batch 0, Channel 7 |
| 5631 | 17.0f, 18.0f, |
| 5632 | |
| 5633 | // Batch 1, Channel 0 |
| 5634 | 19.0f, 20.0f, |
| 5635 | |
| 5636 | // Batch 1, Channel 1 |
| 5637 | 21.0f, 22.0f, |
| 5638 | |
| 5639 | // Batch 1, Channel 2 |
| 5640 | 23.0f, 24.0f, |
| 5641 | |
| 5642 | // Batch 1, Channel 3 |
| 5643 | 27.0f, 28.0f, |
| 5644 | |
| 5645 | // Batch 1, Channel 4 |
| 5646 | 29.0f, 30.0f, |
| 5647 | |
| 5648 | // Batch 1, Channel 5 |
| 5649 | 13.0f, 14.0f, |
| 5650 | |
| 5651 | // Batch 1, Channel 6 |
| 5652 | 15.0f, 16.0f, |
| 5653 | |
| 5654 | // Batch 1, Channel 7 |
| 5655 | 31.0f, 32.0f, |
| 5656 | })); |
| 5657 | |
| 5658 | return result; |
| 5659 | } |
| 5660 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5661 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 5662 | armnn::IWorkloadFactory& workloadFactory, |
| 5663 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5664 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5665 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5666 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5667 | } |
| 5668 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5669 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5670 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 5671 | armnn::IWorkloadFactory& workloadFactory, |
| 5672 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5673 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5674 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5675 | int32_t qOffset) |
| 5676 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5677 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5678 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5679 | // Batch 0, Channel 0 |
| 5680 | 1.0f, 2.0f, |
| 5681 | |
| 5682 | // Batch 0, Channel 1 |
| 5683 | 3.0f, 4.0f, |
| 5684 | |
| 5685 | // Batch 0, Channel 2 |
| 5686 | 5.0f, 6.0f, |
| 5687 | |
| 5688 | // Batch 1, Channel 0 |
| 5689 | 19.0f, 20.0f, |
| 5690 | |
| 5691 | // Batch 1, Channel 1 |
| 5692 | 21.0f, 22.0f, |
| 5693 | |
| 5694 | // Batch 1, Channel 2 |
| 5695 | 23.0f, 24.0f |
| 5696 | })); |
| 5697 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5698 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5699 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5700 | // Batch 0, Channel 0 |
| 5701 | 7.0f, |
| 5702 | |
| 5703 | // Batch 0, Channel 1 |
| 5704 | 9.0f, |
| 5705 | |
| 5706 | // Batch 0, Channel 2 |
| 5707 | 11.0f, |
| 5708 | |
| 5709 | // Batch 1, Channel 0 |
| 5710 | 25.0f, |
| 5711 | |
| 5712 | // Batch 1, Channel 1 |
| 5713 | 27.0f, |
| 5714 | |
| 5715 | // Batch 1, Channel 2 |
| 5716 | 29.0f |
| 5717 | })); |
| 5718 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5719 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5720 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5721 | // Batch 0, Channel 0 |
| 5722 | 13.0f, 14.0f, 50.0f, |
| 5723 | |
| 5724 | // Batch 0, Channel 1 |
| 5725 | 15.0f, 16.0f, 51.0f, |
| 5726 | |
| 5727 | // Batch 0, Channel 2 |
| 5728 | 17.0f, 18.0f, 52.0f, |
| 5729 | |
| 5730 | // Batch 1, Channel 0 |
| 5731 | 31.0f, 32.0f, 53.0f, |
| 5732 | |
| 5733 | // Batch 1, Channel 1 |
| 5734 | 33.0f, 34.0f, 54.0f, |
| 5735 | |
| 5736 | // Batch 1, Channel 2 |
| 5737 | 35.0f, 36.0f, 55.0f, |
| 5738 | })); |
| 5739 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5740 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5741 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5742 | |
| 5743 | std::vector<T> output; |
| 5744 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5745 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5746 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5747 | { input0.data(), input1.data(), input2.data() }, |
| 5748 | outputTensorInfo, |
| 5749 | output.data(), |
| 5750 | 2, |
| 5751 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5752 | |
| 5753 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5754 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5755 | // Batch 0, Channel 0 |
| 5756 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 5757 | |
| 5758 | // Batch 0, Channel 1 |
| 5759 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 5760 | |
| 5761 | // Batch 0, Channel 2 |
| 5762 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 5763 | |
| 5764 | // Batch 1, Channel 0 |
| 5765 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 5766 | |
| 5767 | // Batch 1, Channel 1 |
| 5768 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 5769 | |
| 5770 | // Batch 1, Channel 2 |
| 5771 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 5772 | })); |
| 5773 | |
| 5774 | return result; |
| 5775 | } |
| 5776 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5777 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 5778 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5779 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5780 | bool useSubtensor) |
| 5781 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5782 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5783 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5784 | } |
| 5785 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5786 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5787 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 5788 | armnn::IWorkloadFactory& workloadFactory, |
| 5789 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5790 | const armnn::TensorInfo& outputTensorInfo, |
| 5791 | unsigned int dimension, |
| 5792 | bool useSubtensor, |
| 5793 | float qScale, |
| 5794 | int32_t qOffset) |
| 5795 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5796 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5797 | |
| 5798 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5799 | 1.0f, 2.0f, |
| 5800 | 3.0f, 4.0f, |
| 5801 | 5.0f, 6.0f, |
| 5802 | 7.0f, 8.0f, |
| 5803 | 9.0f, 10.0f, |
| 5804 | 11.0f, 12.0f |
| 5805 | })); |
| 5806 | |
| 5807 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5808 | 11.0f, 12.0f, |
| 5809 | 13.0f, 14.0f, |
| 5810 | 15.0f, 16.0f, |
| 5811 | 17.0f, 18.0f, |
| 5812 | 19.0f, 20.0f, |
| 5813 | 21.0f, 22.0f |
| 5814 | })); |
| 5815 | |
| 5816 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5817 | 21.0f, 22.0f, |
| 5818 | 23.0f, 24.0f, |
| 5819 | 25.0f, 26.0f, |
| 5820 | 27.0f, 28.0f, |
| 5821 | 29.0f, 30.0f, |
| 5822 | 31.0f, 32.0f |
| 5823 | })); |
| 5824 | |
| 5825 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5826 | |
| 5827 | std::vector<T> output; |
| 5828 | output.resize(outputTensorInfo.GetNumElements()); |
| 5829 | |
| 5830 | Concatenate<T>(workloadFactory, |
| 5831 | memoryManager, |
| 5832 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 5833 | {input0.data(), input1.data(), input2.data()}, |
| 5834 | outputTensorInfo, |
| 5835 | output.data(), |
| 5836 | dimension, |
| 5837 | useSubtensor); |
| 5838 | |
| 5839 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5840 | return result; |
| 5841 | } |
| 5842 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5843 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5844 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 5845 | armnn::IWorkloadFactory& workloadFactory, |
| 5846 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5847 | float qScale, |
| 5848 | int32_t qOffset) |
| 5849 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5850 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5851 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5852 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5853 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 5854 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5855 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5856 | 1.0f, 2.0f, |
| 5857 | 3.0f, 4.0f, |
| 5858 | 5.0f, 6.0f, |
| 5859 | 7.0f, 8.0f, |
| 5860 | 9.0f, 10.0f, |
| 5861 | 11.0f, 12.0f, |
| 5862 | |
| 5863 | 11.0f, 12.0f, |
| 5864 | 13.0f, 14.0f, |
| 5865 | 15.0f, 16.0f, |
| 5866 | 17.0f, 18.0f, |
| 5867 | 19.0f, 20.0f, |
| 5868 | 21.0f, 22.0f, |
| 5869 | |
| 5870 | 21.0f, 22.0f, |
| 5871 | 23.0f, 24.0f, |
| 5872 | 25.0f, 26.0f, |
| 5873 | 27.0f, 28.0f, |
| 5874 | 29.0f, 30.0f, |
| 5875 | 31.0f, 32.0f |
| 5876 | })); |
| 5877 | return result; |
| 5878 | } |
| 5879 | |
| 5880 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 5881 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5882 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5883 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5884 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5885 | } |
| 5886 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5887 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5888 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 5889 | armnn::IWorkloadFactory& workloadFactory, |
| 5890 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5891 | float qScale, |
| 5892 | int32_t qOffset) |
| 5893 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5894 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5895 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5896 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5897 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 5898 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5899 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5900 | 1.0f, 2.0f, |
| 5901 | 3.0f, 4.0f, |
| 5902 | 5.0f, 6.0f, |
| 5903 | 7.0f, 8.0f, |
| 5904 | 9.0f, 10.0f, |
| 5905 | 11.0f, 12.0f, |
| 5906 | |
| 5907 | 11.0f, 12.0f, |
| 5908 | 13.0f, 14.0f, |
| 5909 | 15.0f, 16.0f, |
| 5910 | 17.0f, 18.0f, |
| 5911 | 19.0f, 20.0f, |
| 5912 | 21.0f, 22.0f, |
| 5913 | |
| 5914 | 21.0f, 22.0f, |
| 5915 | 23.0f, 24.0f, |
| 5916 | 25.0f, 26.0f, |
| 5917 | 27.0f, 28.0f, |
| 5918 | 29.0f, 30.0f, |
| 5919 | 31.0f, 32.0f |
| 5920 | })); |
| 5921 | |
| 5922 | return result; |
| 5923 | } |
| 5924 | |
| 5925 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 5926 | armnn::IWorkloadFactory& workloadFactory, |
| 5927 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5928 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5929 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5930 | } |
| 5931 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5932 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5933 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 5934 | armnn::IWorkloadFactory& workloadFactory, |
| 5935 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5936 | float qScale, |
| 5937 | int32_t qOffset) |
| 5938 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5939 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5940 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5941 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5942 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 5943 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5944 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5945 | 1.0f, 2.0f, |
| 5946 | 3.0f, 4.0f, |
| 5947 | 11.0f, 12.0f, |
| 5948 | 13.0f, 14.0f, |
| 5949 | 21.0f, 22.0f, |
| 5950 | 23.0f, 24.0f, |
| 5951 | |
| 5952 | 5.0f, 6.0f, |
| 5953 | 7.0f, 8.0f, |
| 5954 | 15.0f, 16.0f, |
| 5955 | 17.0f, 18.0f, |
| 5956 | 25.0f, 26.0f, |
| 5957 | 27.0f, 28.0f, |
| 5958 | |
| 5959 | 9.0f, 10.0f, |
| 5960 | 11.0f, 12.0f, |
| 5961 | 19.0f, 20.0f, |
| 5962 | 21.0f, 22.0f, |
| 5963 | 29.0f, 30.0f, |
| 5964 | 31.0f, 32.0f |
| 5965 | })); |
| 5966 | |
| 5967 | return result; |
| 5968 | } |
| 5969 | |
| 5970 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 5971 | armnn::IWorkloadFactory& workloadFactory, |
| 5972 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5973 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5974 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5975 | } |
| 5976 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5977 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5978 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 5979 | armnn::IWorkloadFactory& workloadFactory, |
| 5980 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5981 | float qScale, |
| 5982 | int32_t qOffset, |
| 5983 | bool useSubtensor) |
| 5984 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5985 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5986 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5987 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5988 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 5989 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5990 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5991 | 1.0f, 2.0f, |
| 5992 | 11.0f, 12.0f, |
| 5993 | 21.0f, 22.0f, |
| 5994 | 3.0f, 4.0f, |
| 5995 | 13.0f, 14.0f, |
| 5996 | 23.0f, 24.0f, |
| 5997 | |
| 5998 | 5.0f, 6.0f, |
| 5999 | 15.0f, 16.0f, |
| 6000 | 25.0f, 26.0f, |
| 6001 | 7.0f, 8.0f, |
| 6002 | 17.0f, 18.0f, |
| 6003 | 27.0f, 28.0f, |
| 6004 | |
| 6005 | 9.0f, 10.0f, |
| 6006 | 19.0f, 20.0f, |
| 6007 | 29.0f, 30.0f, |
| 6008 | 11.0f, 12.0f, |
| 6009 | 21.0f, 22.0f, |
| 6010 | 31.0f, 32.0f |
| 6011 | })); |
| 6012 | |
| 6013 | return result; |
| 6014 | } |
| 6015 | |
| 6016 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 6017 | armnn::IWorkloadFactory& workloadFactory, |
| 6018 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6019 | bool useSubtensor) |
| 6020 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6021 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 6022 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6023 | } |
| 6024 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6025 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6026 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 6027 | armnn::IWorkloadFactory& workloadFactory, |
| 6028 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6029 | float qScale, |
| 6030 | int32_t qOffset) |
| 6031 | { |
| 6032 | unsigned int dimension = 0; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6033 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6034 | |
| 6035 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6036 | 1.0f, 2.0f, |
| 6037 | 3.0f, 4.0f, |
| 6038 | 5.0f, 6.0f, |
| 6039 | 7.0f, 8.0f, |
| 6040 | 9.0f, 10.0f, |
| 6041 | 11.0f, 12.0f |
| 6042 | })); |
| 6043 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6044 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6045 | |
| 6046 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6047 | 11.0f, 12.0f, |
| 6048 | 13.0f, 14.0f, |
| 6049 | 15.0f, 16.0f, |
| 6050 | 17.0f, 18.0f, |
| 6051 | 19.0f, 20.0f, |
| 6052 | 21.0f, 22.0f, |
| 6053 | |
| 6054 | 21.0f, 22.0f, |
| 6055 | 23.0f, 24.0f, |
| 6056 | 25.0f, 26.0f, |
| 6057 | 27.0f, 28.0f, |
| 6058 | 29.0f, 30.0f, |
| 6059 | 31.0f, 32.0f |
| 6060 | |
| 6061 | })); |
| 6062 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6063 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6064 | |
| 6065 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6066 | |
| 6067 | std::vector<T> output; |
| 6068 | output.resize(outputTensorInfo.GetNumElements()); |
| 6069 | Concatenate<T>(workloadFactory, |
| 6070 | memoryManager, |
| 6071 | {inputTensorInfo0, inputTensorInfo1}, |
| 6072 | {input0.data(), input1.data()}, |
| 6073 | outputTensorInfo, |
| 6074 | output.data(), |
| 6075 | dimension, |
| 6076 | true); |
| 6077 | |
| 6078 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6079 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6080 | 1.0f, 2.0f, |
| 6081 | 3.0f, 4.0f, |
| 6082 | 5.0f, 6.0f, |
| 6083 | 7.0f, 8.0f, |
| 6084 | 9.0f, 10.0f, |
| 6085 | 11.0f, 12.0f, |
| 6086 | |
| 6087 | 11.0f, 12.0f, |
| 6088 | 13.0f, 14.0f, |
| 6089 | 15.0f, 16.0f, |
| 6090 | 17.0f, 18.0f, |
| 6091 | 19.0f, 20.0f, |
| 6092 | 21.0f, 22.0f, |
| 6093 | |
| 6094 | 21.0f, 22.0f, |
| 6095 | 23.0f, 24.0f, |
| 6096 | 25.0f, 26.0f, |
| 6097 | 27.0f, 28.0f, |
| 6098 | 29.0f, 30.0f, |
| 6099 | 31.0f, 32.0f |
| 6100 | })); |
| 6101 | |
| 6102 | return result; |
| 6103 | } |
| 6104 | |
| 6105 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 6106 | armnn::IWorkloadFactory& workloadFactory, |
| 6107 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6108 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6109 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 6110 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6111 | } |
| 6112 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6113 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6114 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 6115 | armnn::IWorkloadFactory& workloadFactory, |
| 6116 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6117 | float qScale, |
| 6118 | int32_t qOffset) |
| 6119 | { |
| 6120 | unsigned int dimension = 1; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6121 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6122 | |
| 6123 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6124 | 1.0f, 2.0f, |
| 6125 | 3.0f, 4.0f, |
| 6126 | 5.0f, 6.0f, |
| 6127 | 7.0f, 8.0f, |
| 6128 | 9.0f, 10.0f, |
| 6129 | 11.0f, 12.0f |
| 6130 | })); |
| 6131 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6132 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6133 | |
| 6134 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6135 | 11.0f, 12.0f, |
| 6136 | 13.0f, 14.0f, |
| 6137 | 15.0f, 16.0f, |
| 6138 | 17.0f, 18.0f, |
| 6139 | |
| 6140 | })); |
| 6141 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6142 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6143 | |
| 6144 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6145 | |
| 6146 | std::vector<T> output; |
| 6147 | output.resize(outputTensorInfo.GetNumElements()); |
| 6148 | Concatenate<T>(workloadFactory, |
| 6149 | memoryManager, |
| 6150 | {inputTensorInfo0, inputTensorInfo1}, |
| 6151 | {input0.data(), input1.data()}, |
| 6152 | outputTensorInfo, |
| 6153 | output.data(), |
| 6154 | dimension, |
| 6155 | true); |
| 6156 | |
| 6157 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6158 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6159 | 1.0f, 2.0f, |
| 6160 | 3.0f, 4.0f, |
| 6161 | 5.0f, 6.0f, |
| 6162 | 7.0f, 8.0f, |
| 6163 | 9.0f, 10.0f, |
| 6164 | 11.0f, 12.0f, |
| 6165 | 11.0f, 12.0f, |
| 6166 | 13.0f, 14.0f, |
| 6167 | 15.0f, 16.0f, |
| 6168 | 17.0f, 18.0f |
| 6169 | })); |
| 6170 | |
| 6171 | return result; |
| 6172 | } |
| 6173 | |
| 6174 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 6175 | armnn::IWorkloadFactory& workloadFactory, |
| 6176 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6177 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6178 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 6179 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6180 | } |
| 6181 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6182 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6183 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 6184 | armnn::IWorkloadFactory& workloadFactory, |
| 6185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6186 | float qScale, |
| 6187 | int32_t qOffset) |
| 6188 | { |
| 6189 | unsigned int dimension = 2; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6190 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6191 | |
| 6192 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6193 | 1.0f, 2.0f, |
| 6194 | 3.0f, 4.0f, |
| 6195 | 5.0f, 6.0f, |
| 6196 | 7.0f, 8.0f, |
| 6197 | 9.0f, 10.0f, |
| 6198 | 11.0f, 12.0f |
| 6199 | })); |
| 6200 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6201 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6202 | |
| 6203 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6204 | 11.0f, 12.0f, |
| 6205 | 13.0f, 14.0f, |
| 6206 | 15.0f, 16.0f, |
| 6207 | 17.0f, 18.0f, |
| 6208 | 19.0f, 20.0f, |
| 6209 | 21.0f, 22.0f, |
| 6210 | 23.0f, 24.0f, |
| 6211 | 25.0f, 26.0f, |
| 6212 | 27.0f, 28.0f |
| 6213 | })); |
| 6214 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6215 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6216 | |
| 6217 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6218 | |
| 6219 | std::vector<T> output; |
| 6220 | output.resize(outputTensorInfo.GetNumElements()); |
| 6221 | Concatenate<T>(workloadFactory, |
| 6222 | memoryManager, |
| 6223 | {inputTensorInfo0, inputTensorInfo1}, |
| 6224 | {input0.data(), input1.data()}, |
| 6225 | outputTensorInfo, |
| 6226 | output.data(), |
| 6227 | dimension, |
| 6228 | true); |
| 6229 | |
| 6230 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6231 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6232 | 1.0f, 2.0f, |
| 6233 | 3.0f, 4.0f, |
| 6234 | 11.0f, 12.0f, |
| 6235 | 13.0f, 14.0f, |
| 6236 | 15.0f, 16.0f, |
| 6237 | |
| 6238 | 5.0f, 6.0f, |
| 6239 | 7.0f, 8.0f, |
| 6240 | 17.0f, 18.0f, |
| 6241 | 19.0f, 20.0f, |
| 6242 | 21.0f, 22.0f, |
| 6243 | |
| 6244 | 9.0f, 10.0f, |
| 6245 | 11.0f, 12.0f, |
| 6246 | 23.0f, 24.0f, |
| 6247 | 25.0f, 26.0f, |
| 6248 | 27.0f, 28.0f |
| 6249 | })); |
| 6250 | |
| 6251 | return result; |
| 6252 | } |
| 6253 | |
| 6254 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 6255 | armnn::IWorkloadFactory& workloadFactory, |
| 6256 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6257 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6258 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 6259 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6260 | } |
| 6261 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6262 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6263 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 6264 | armnn::IWorkloadFactory& workloadFactory, |
| 6265 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6266 | float qScale, |
| 6267 | int32_t qOffset, |
| 6268 | bool useSubtensor) |
| 6269 | { |
| 6270 | unsigned int dimension = 3; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6271 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6272 | |
| 6273 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 6274 | 1.0f, 2.0f, |
| 6275 | 3.0f, 4.0f, |
| 6276 | 5.0f, 6.0f, |
| 6277 | 7.0f, 8.0f, |
| 6278 | 9.0f, 10.0f, |
| 6279 | 11.0f, 12.0f |
| 6280 | })); |
| 6281 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6282 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6283 | |
| 6284 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 6285 | 11.0f, 12.0f, 13.0f, |
| 6286 | 14.0f, 15.0f, 16.0f, |
| 6287 | |
| 6288 | 17.0f, 18.0f, 19.0f, |
| 6289 | 20.0f, 21.0f, 22.0f, |
| 6290 | |
| 6291 | 23.0f, 24.0f, 25.0f, |
| 6292 | 26.0f, 27.0f, 28.0f |
| 6293 | })); |
| 6294 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6295 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 6296 | |
| 6297 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6298 | |
| 6299 | std::vector<T> output; |
| 6300 | output.resize(outputTensorInfo.GetNumElements()); |
| 6301 | Concatenate<T>(workloadFactory, |
| 6302 | memoryManager, |
| 6303 | {inputTensorInfo0, inputTensorInfo1}, |
| 6304 | {input0.data(), input1.data()}, |
| 6305 | outputTensorInfo, |
| 6306 | output.data(), |
| 6307 | dimension, |
| 6308 | useSubtensor); |
| 6309 | |
| 6310 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 6311 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 6312 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 6313 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 6314 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 6315 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 6316 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 6317 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 6318 | })); |
| 6319 | |
| 6320 | return result; |
| 6321 | } |
| 6322 | |
| 6323 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 6324 | armnn::IWorkloadFactory& workloadFactory, |
| 6325 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6326 | bool useSubtensor) |
| 6327 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6328 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 6329 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6330 | } |
| 6331 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6332 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 6333 | armnn::IWorkloadFactory& workloadFactory, |
| 6334 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6335 | { |
| 6336 | constexpr unsigned int width = 2; |
| 6337 | constexpr unsigned int height = 3; |
| 6338 | |
| 6339 | const armnn::TensorInfo tensorInfo({height, width }, |
| 6340 | armnn::DataType::Float32); |
| 6341 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 6342 | -10.0f, -5.0f, |
| 6343 | 0.0f, 5.0f, |
| 6344 | 10.0f, 10.0f |
| 6345 | })); |
| 6346 | |
| 6347 | LayerTestResult<float, 2> ret(tensorInfo); |
| 6348 | |
| 6349 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 6350 | |
| 6351 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 6352 | |
| 6353 | armnn::FakeQuantizationQueueDescriptor data; |
| 6354 | armnn::WorkloadInfo info; |
| 6355 | |
| 6356 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 6357 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 6358 | float min = -10.f; |
| 6359 | float max = 10.f; |
| 6360 | |
| 6361 | data.m_Parameters.m_Min = min; |
| 6362 | data.m_Parameters.m_Max = max; |
| 6363 | |
| 6364 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 6365 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 6366 | armnn::WorkloadInfo refInfo = info; |
| 6367 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 6368 | |
| 6369 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 6370 | |
| 6371 | inputHandle->Allocate(); |
| 6372 | outputHandle->Allocate(); |
| 6373 | |
| 6374 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 6375 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6376 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6377 | workload->Execute(); |
| 6378 | |
| 6379 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 6380 | |
| 6381 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 6382 | 0.0f, 63.0f, |
| 6383 | 128.0f, 191.0f, |
| 6384 | 255.0f, 255.0f |
| 6385 | })); |
| 6386 | return ret; |
| 6387 | } |
| 6388 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6389 | namespace |
| 6390 | { |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6391 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6392 | LayerTestResult<T, 4> L2NormalizationTestImpl( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6393 | armnn::IWorkloadFactory& workloadFactory, |
| 6394 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6395 | const armnn::TensorShape& inputOutputTensorShape, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6396 | float scale, |
| 6397 | int32_t offset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6398 | const std::vector<float>& inputValues, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6399 | float outScale, |
| 6400 | int32_t outOffset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6401 | const std::vector<float>& expectedOutputValues, |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6402 | const armnn::DataLayout layout, |
| 6403 | float epsilon = 1e-12f) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6404 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6405 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, scale, offset); |
| 6406 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, outScale, outOffset); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6407 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6408 | // at this point if we require it permute the input data |
| 6409 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 6410 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6411 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6412 | { |
| 6413 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 6414 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6415 | inputData = tmp; |
| 6416 | } |
| 6417 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6418 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>( |
| 6419 | inputTensorInfo.GetQuantizationScale(), |
| 6420 | inputTensorInfo.GetQuantizationOffset(), |
| 6421 | inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6422 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6423 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6424 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6425 | { |
| 6426 | std::vector<float> tmp(expectedOutputData.size()); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6427 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, expectedOutputData.data(), tmp.data(), |
| 6428 | sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6429 | expectedOutputData = tmp; |
| 6430 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6431 | |
| 6432 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6433 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>( |
| 6434 | outputTensorInfo.GetQuantizationScale(), |
| 6435 | outputTensorInfo.GetQuantizationOffset(), |
| 6436 | expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6437 | |
| 6438 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6439 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6440 | |
| 6441 | armnn::L2NormalizationQueueDescriptor descriptor; |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6442 | descriptor.m_Parameters.m_Eps = epsilon; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6443 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6444 | armnn::WorkloadInfo info; |
| 6445 | |
| 6446 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6447 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6448 | |
| 6449 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 6450 | |
| 6451 | inputHandle->Allocate(); |
| 6452 | outputHandle->Allocate(); |
| 6453 | |
| 6454 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6455 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6456 | workload->PostAllocationConfigure(); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6457 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6458 | |
| 6459 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6460 | |
| 6461 | return result; |
| 6462 | } |
| 6463 | |
| 6464 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 6465 | { |
| 6466 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 6467 | [](float acc, float element) { return acc + element * element; }); |
| 6468 | return 1.0f / sqrtf(reduction); |
| 6469 | } |
| 6470 | |
| 6471 | } // anonymous namespace |
| 6472 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6473 | template<armnn::DataType ArmnnType, typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6474 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 6475 | armnn::IWorkloadFactory& workloadFactory, |
| 6476 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6477 | float qScale, |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6478 | int32_t qOffset, |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6479 | const float customPaddingValue) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6480 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6481 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 6482 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6483 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6484 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 6485 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6486 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6487 | std::vector<T> inputValues( |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6488 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6489 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6490 | // Height (3) x Width (3) |
| 6491 | 4, 8, 6, |
| 6492 | 7, 4, 4, |
| 6493 | 3, 2, 4 |
| 6494 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6495 | |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6496 | auto p = customPaddingValue; |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6497 | std::vector<T> expectedOutputValues; |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6498 | expectedOutputValues = ( |
| 6499 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6500 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6501 | p, p, p, p, p, p, p, |
| 6502 | p, p, p, p, p, p, p, |
| 6503 | p, p, 4, 8, 6, p, p, |
| 6504 | p, p, 7, 4, 4, p, p, |
| 6505 | p, p, 3, 2, 4, p, p, |
| 6506 | p, p, p, p, p, p, p, |
| 6507 | p, p, p, p, p, p, p |
| 6508 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6509 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6510 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
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 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 6513 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
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::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6516 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6517 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6518 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6519 | |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6520 | std::vector<std::pair<unsigned int, unsigned int>> padList; |
| 6521 | padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 6522 | padList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6523 | |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6524 | descriptor.m_Parameters.m_PadList = padList; |
| 6525 | descriptor.m_Parameters.m_PadValue = customPaddingValue; |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6526 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6527 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6528 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6529 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6530 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6531 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6532 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6533 | inputHandle->Allocate(); |
| 6534 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6535 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6536 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6537 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6538 | workload->PostAllocationConfigure(); |
| 6539 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6540 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6541 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6542 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6543 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6544 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6545 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6546 | template<armnn::DataType ArmnnType, typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6547 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 6548 | armnn::IWorkloadFactory& workloadFactory, |
| 6549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6550 | float qScale, |
| 6551 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6552 | { |
| 6553 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 6554 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 6555 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6556 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 6557 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6558 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6559 | std::vector<T> inputValues( |
| 6560 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6561 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6562 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6563 | 0, 4, |
| 6564 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6565 | |
| 6566 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6567 | 6, 1, |
| 6568 | 5, 2 |
| 6569 | })); |
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 | std::vector<T> expectedOutputValues( |
| 6572 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6573 | { |
| 6574 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6575 | 0, 0, 0, 0, 0, 0, |
| 6576 | 0, 0, 0, 0, 0, 0, |
| 6577 | 0, 0, 0, 4, 0, 0, |
| 6578 | 0, 0, 2, 5, 0, 0, |
| 6579 | 0, 0, 0, 0, 0, 0, |
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 | 0, 0, 0, 0, 0, 0, |
| 6582 | 0, 0, 0, 0, 0, 0, |
| 6583 | 0, 0, 6, 1, 0, 0, |
| 6584 | 0, 0, 5, 2, 0, 0, |
| 6585 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6586 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6587 | 0, 0, 0, 0, 0, 0, |
| 6588 | 0, 0, 0, 0, 0, 0, |
| 6589 | 0, 0, 0, 0, 0, 0, |
| 6590 | 0, 0, 0, 0, 0, 0, |
| 6591 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6592 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6593 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6594 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6595 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6596 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6597 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 6598 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6599 | |
| 6600 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6601 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6602 | |
| 6603 | armnn::PadQueueDescriptor descriptor; |
| 6604 | |
| 6605 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 6606 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 6607 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 6608 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 6609 | |
| 6610 | descriptor.m_Parameters.m_PadList = PadList; |
| 6611 | armnn::WorkloadInfo info; |
| 6612 | |
| 6613 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6614 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6615 | |
| 6616 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6617 | |
| 6618 | inputHandle->Allocate(); |
| 6619 | outputHandle->Allocate(); |
| 6620 | |
| 6621 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 6622 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6623 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6624 | workload->Execute(); |
| 6625 | |
| 6626 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 6627 | |
| 6628 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6629 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6630 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6631 | template<armnn::DataType ArmnnType, typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6632 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 6633 | armnn::IWorkloadFactory& workloadFactory, |
| 6634 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6635 | float qScale, |
| 6636 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6637 | { |
| 6638 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 6639 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 6640 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6641 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset); |
| 6642 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6643 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6644 | std::vector<T> inputValues( |
| 6645 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6646 | { |
| 6647 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6648 | 0, 1, |
| 6649 | 2, 3, |
| 6650 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6651 | |
| 6652 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6653 | 6, 7, |
| 6654 | 8, 9, |
| 6655 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6656 | |
| 6657 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6658 | 12, 13, |
| 6659 | 14, 15, |
| 6660 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6661 | |
| 6662 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6663 | 18, 19, |
| 6664 | 20, 21, |
| 6665 | 22, 23 |
| 6666 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6667 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6668 | std::vector<T> expectedOutputValues( |
| 6669 | QuantizedVector<T>(qScale,qOffset, |
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, 0, 0, |
| 6715 | 0, 0, 0, 0, |
| 6716 | 0, 0, 0, 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, 0, 0, 0, |
| 6723 | 0, 0, 0, 0, |
| 6724 | 0, 0, 0, 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, 1, 0, |
| 6731 | 0, 2, 3, 0, |
| 6732 | 0, 4, 5, 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, 6, 7, 0, |
| 6739 | 0, 8, 9, 0, |
| 6740 | 0, 10, 11, 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, 0, 0, 0, |
| 6755 | 0, 0, 0, 0, |
| 6756 | 0, 0, 0, 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, 0, 0, 0, |
| 6763 | 0, 0, 0, 0, |
| 6764 | 0, 0, 0, 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, 12, 13, 0, |
| 6771 | 0, 14, 15, 0, |
| 6772 | 0, 16, 17, 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, 18, 19, 0, |
| 6779 | 0, 20, 21, 0, |
| 6780 | 0, 22, 23, 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, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6814 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6815 | 0, 0, 0, 0, |
| 6816 | 0, 0, 0, 0, |
| 6817 | 0, 0, 0, 0, |
| 6818 | 0, 0, 0, 0, |
| 6819 | 0, 0, 0, 0, |
| 6820 | 0, 0, 0, 0, |
| 6821 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6822 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6823 | 0, 0, 0, 0, |
| 6824 | 0, 0, 0, 0, |
| 6825 | 0, 0, 0, 0, |
| 6826 | 0, 0, 0, 0, |
| 6827 | 0, 0, 0, 0, |
| 6828 | 0, 0, 0, 0, |
| 6829 | 0, 0, 0, 0 |
| 6830 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6831 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6832 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6833 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6834 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6835 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6836 | |
| 6837 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6838 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6839 | |
| 6840 | armnn::PadQueueDescriptor descriptor; |
| 6841 | |
| 6842 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 6843 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6844 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 6845 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 6846 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6847 | |
| 6848 | descriptor.m_Parameters.m_PadList = PadList; |
| 6849 | armnn::WorkloadInfo info; |
| 6850 | |
| 6851 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6852 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6853 | |
| 6854 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6855 | |
| 6856 | inputHandle->Allocate(); |
| 6857 | outputHandle->Allocate(); |
| 6858 | |
| 6859 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6860 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6861 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6862 | workload->Execute(); |
| 6863 | |
| 6864 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6865 | |
| 6866 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6867 | } |
| 6868 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6869 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 6870 | armnn::IWorkloadFactory& workloadFactory, |
| 6871 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6872 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6873 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6874 | } |
| 6875 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6876 | LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest( |
| 6877 | armnn::IWorkloadFactory& workloadFactory, |
| 6878 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6879 | { |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6880 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f); |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6881 | } |
| 6882 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6883 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 6884 | armnn::IWorkloadFactory& workloadFactory, |
| 6885 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6886 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6887 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6888 | } |
| 6889 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6890 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 6891 | armnn::IWorkloadFactory& workloadFactory, |
| 6892 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6893 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6894 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6895 | } |
| 6896 | |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6897 | |
| 6898 | template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 2> |
| 6899 | Pad2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 6900 | armnn::IWorkloadFactory& workloadFactory, |
| 6901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6902 | float qScale, |
| 6903 | int32_t qOffset, |
| 6904 | const float customPaddingValue); |
| 6905 | |
| 6906 | template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 3> |
| 6907 | Pad3dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 6908 | armnn::IWorkloadFactory& workloadFactory, |
| 6909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6910 | float qScale, |
| 6911 | int32_t qOffset); |
| 6912 | |
| 6913 | template LayerTestResult<typename armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 6914 | Pad4dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 6915 | armnn::IWorkloadFactory& workloadFactory, |
| 6916 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6917 | float qScale, |
| 6918 | int32_t qOffset); |
| 6919 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6920 | LayerTestResult<float, 2> PadFloat322dTest( |
| 6921 | armnn::IWorkloadFactory& workloadFactory, |
| 6922 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6923 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6924 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6925 | } |
| 6926 | |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6927 | LayerTestResult<float, 2> PadFloat322dCustomPaddingTest( |
| 6928 | armnn::IWorkloadFactory& workloadFactory, |
| 6929 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6930 | { |
Narumol Prangnawarat | e6eaf66 | 2019-07-08 08:57:17 +0100 | [diff] [blame] | 6931 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f); |
David Monahan | 3475781 | 2019-06-19 11:47:21 +0100 | [diff] [blame] | 6932 | } |
| 6933 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6934 | LayerTestResult<float, 3> PadFloat323dTest( |
| 6935 | armnn::IWorkloadFactory& workloadFactory, |
| 6936 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6937 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6938 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6939 | } |
| 6940 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6941 | LayerTestResult<float, 4> PadFloat324dTest( |
| 6942 | armnn::IWorkloadFactory& workloadFactory, |
| 6943 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6944 | { |
Teresa Charlin | ec8e198 | 2019-07-02 16:24:09 +0100 | [diff] [blame] | 6945 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6946 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6947 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6948 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6949 | LayerTestResult<T, 4> L2NormalizationEpsilonTestCommon( |
| 6950 | armnn::IWorkloadFactory& workloadFactory, |
| 6951 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6952 | float scale, |
| 6953 | int32_t offset, |
| 6954 | float outScale, |
| 6955 | int32_t outOffset, |
| 6956 | const armnn::DataLayout layout, |
| 6957 | float epsilon) |
| 6958 | { |
| 6959 | // Width: 1 |
| 6960 | // Height: 1 |
| 6961 | // Channels: 3 |
| 6962 | // BatchSize: 1 |
| 6963 | unsigned int numberOfBatches = 1; |
| 6964 | unsigned int numberOfChannels = 3; |
| 6965 | unsigned int height = 1; |
| 6966 | unsigned int width = 1; |
| 6967 | |
| 6968 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
| 6969 | numberOfBatches, numberOfChannels, height, width, layout); |
| 6970 | |
| 6971 | // 0.0000001^2 + 0.00000002^2 + 0.00000003^2 < 1e-12 |
| 6972 | std::vector<float> inputValues |
| 6973 | { |
| 6974 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6975 | 0.00000001f, |
| 6976 | |
| 6977 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 6978 | 0.00000002f, |
| 6979 | |
| 6980 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 6981 | 0.00000003f, |
| 6982 | }; |
| 6983 | |
| 6984 | const float approxInvL2Norm = 1.f / sqrtf(epsilon); |
| 6985 | std::vector<float> expectedOutputValues |
| 6986 | { |
| 6987 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6988 | 0.00000001f * approxInvL2Norm, |
| 6989 | 0.00000002f * approxInvL2Norm, |
| 6990 | 0.00000003f * approxInvL2Norm, |
| 6991 | }; |
| 6992 | |
| 6993 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6994 | inputValues, outScale, outOffset, expectedOutputValues, layout, |
| 6995 | epsilon); |
| 6996 | } |
| 6997 | |
| 6998 | |
| 6999 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7000 | LayerTestResult<T, 4> L2Normalization1dTestCommon( |
| 7001 | armnn::IWorkloadFactory& workloadFactory, |
| 7002 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7003 | float scale, |
| 7004 | int32_t offset, |
| 7005 | float outScale, |
| 7006 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7007 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7008 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7009 | // Width: 1 |
| 7010 | // Height: 1 |
| 7011 | // Channels: 10 |
| 7012 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7013 | unsigned int numberOfBatches = 1; |
| 7014 | unsigned int numberOfChannels = 10; |
| 7015 | unsigned int height = 1; |
| 7016 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7017 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7018 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7019 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7020 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7021 | std::vector<float> inputValues |
| 7022 | { |
| 7023 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7024 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7025 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7026 | // Batch 0, Channel 1, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7027 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7028 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7029 | // Batch 0, Channel 2, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7030 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7031 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7032 | // Batch 0, Channel 3, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7033 | 4.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7034 | |
| 7035 | // Batch 0, Channel 4, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7036 | 5.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7037 | |
| 7038 | // Batch 0, Channel 5, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7039 | 6.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7040 | |
| 7041 | // Batch 0, Channel 6, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7042 | 7.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7043 | |
| 7044 | // Batch 0, Channel 7, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7045 | 8.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7046 | |
| 7047 | // Batch 0, Channel 8, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7048 | 9.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7049 | |
| 7050 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 7051 | 10.0f |
| 7052 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7053 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7054 | std::vector<float> expectedOutputValues |
| 7055 | { |
| 7056 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7057 | 1.0f * approxInvL2Norm, |
| 7058 | 2.0f * approxInvL2Norm, |
| 7059 | 3.0f * approxInvL2Norm, |
| 7060 | 4.0f * approxInvL2Norm, |
| 7061 | 5.0f * approxInvL2Norm, |
| 7062 | 6.0f * approxInvL2Norm, |
| 7063 | 7.0f * approxInvL2Norm, |
| 7064 | 8.0f * approxInvL2Norm, |
| 7065 | 9.0f * approxInvL2Norm, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7066 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7067 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7068 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7069 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7070 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7071 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7072 | } |
| 7073 | |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 7074 | LayerTestResult<float, 4> L2NormalizationDefaultEpsilonTest( |
| 7075 | armnn::IWorkloadFactory& workloadFactory, |
| 7076 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7077 | const armnn::DataLayout layout) |
| 7078 | { |
| 7079 | // Dummy descriptor to get the default value of epsilon. |
| 7080 | armnn::L2NormalizationDescriptor descriptor; |
| 7081 | |
| 7082 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7083 | layout, descriptor.m_Eps); |
| 7084 | } |
| 7085 | |
| 7086 | LayerTestResult<float, 4> L2NormalizationNonDefaultEpsilonTest( |
| 7087 | armnn::IWorkloadFactory& workloadFactory, |
| 7088 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7089 | const armnn::DataLayout layout) |
| 7090 | { |
| 7091 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7092 | layout, 1e-9f); |
| 7093 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7094 | |
| 7095 | LayerTestResult<float, 4> L2Normalization1dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7096 | armnn::IWorkloadFactory& workloadFactory, |
| 7097 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7098 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7099 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7100 | 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] | 7101 | } |
| 7102 | |
| 7103 | LayerTestResult<int16_t, 4> L2Normalization1dInt16Test( |
| 7104 | armnn::IWorkloadFactory& workloadFactory, |
| 7105 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7106 | const armnn::DataLayout layout) |
| 7107 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7108 | 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] | 7109 | layout); |
| 7110 | } |
| 7111 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7112 | LayerTestResult<uint8_t, 4> L2Normalization1dUint8Test( |
| 7113 | armnn::IWorkloadFactory& workloadFactory, |
| 7114 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7115 | const armnn::DataLayout layout) |
| 7116 | { |
| 7117 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7118 | 1.f/128, 128, layout); |
| 7119 | } |
| 7120 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7121 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7122 | LayerTestResult<T, 4> L2Normalization2dTestCommon( |
| 7123 | armnn::IWorkloadFactory& workloadFactory, |
| 7124 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7125 | float scale, |
| 7126 | int32_t offset, |
| 7127 | float outScale, |
| 7128 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7129 | const armnn::DataLayout layout) |
| 7130 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7131 | // Width: 5 |
| 7132 | // Height: 1 |
| 7133 | // Channels: 2 |
| 7134 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7135 | unsigned int numberOfBatches = 1; |
| 7136 | unsigned int numberOfChannels = 2; |
| 7137 | unsigned int height = 1; |
| 7138 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7139 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7140 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7141 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7142 | std::vector<float> inputValues |
| 7143 | { |
| 7144 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7145 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7146 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7147 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 7148 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 7149 | }; |
| 7150 | std::vector<float> expectedOutputValues |
| 7151 | { |
| 7152 | // Batch 0, Channel 0, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7153 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 7154 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 7155 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 7156 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
| 7157 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7158 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7159 | // Batch 0, Channel 1, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7160 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 7161 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 7162 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 7163 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7164 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7165 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7166 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7167 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7168 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7169 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7170 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7171 | LayerTestResult<float, 4> L2Normalization2dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7172 | armnn::IWorkloadFactory& workloadFactory, |
| 7173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7174 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7175 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7176 | return L2Normalization2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7177 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7178 | } |
| 7179 | |
| 7180 | LayerTestResult<int16_t, 4> L2Normalization2dInt16Test( |
| 7181 | armnn::IWorkloadFactory& workloadFactory, |
| 7182 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7183 | const armnn::DataLayout layout) |
| 7184 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7185 | 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] | 7186 | layout); |
| 7187 | } |
| 7188 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7189 | LayerTestResult<uint8_t, 4> L2Normalization2dUint8Test( |
| 7190 | armnn::IWorkloadFactory& workloadFactory, |
| 7191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7192 | const armnn::DataLayout layout) |
| 7193 | { |
| 7194 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7195 | 1.f/128, 128, layout); |
| 7196 | } |
| 7197 | |
Matthew Jackson | 82b15ed | 2019-07-25 16:14:30 +0100 | [diff] [blame] | 7198 | LayerTestResult<float, 2> L2Normalization2dShapeTest( |
| 7199 | armnn::IWorkloadFactory& workloadFactory, |
| 7200 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7201 | { |
| 7202 | const armnn::DataLayout layout = armnn::DataLayout::NHWC; |
| 7203 | const armnn::TensorShape inputOutputTensorShape = armnn::TensorShape({ 5, 2 }); |
| 7204 | |
| 7205 | std::vector<float> inputData |
| 7206 | { |
| 7207 | 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f |
| 7208 | }; |
| 7209 | std::vector<float> expectedOutputData |
| 7210 | { |
| 7211 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 7212 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 7213 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 7214 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 7215 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 7216 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 7217 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
| 7218 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
| 7219 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
| 7220 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
| 7221 | }; |
| 7222 | |
| 7223 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32, 0.f, 0); |
| 7224 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32, 0.f, 0); |
| 7225 | |
| 7226 | auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, QuantizedVector<float>( |
| 7227 | inputTensorInfo.GetQuantizationScale(), |
| 7228 | inputTensorInfo.GetQuantizationOffset(), |
| 7229 | inputData)); |
| 7230 | |
| 7231 | LayerTestResult<float, 2> result(outputTensorInfo); |
| 7232 | result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, QuantizedVector<float>( |
| 7233 | outputTensorInfo.GetQuantizationScale(), |
| 7234 | outputTensorInfo.GetQuantizationOffset(), |
| 7235 | expectedOutputData)); |
| 7236 | |
| 7237 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7238 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7239 | |
| 7240 | armnn::L2NormalizationQueueDescriptor descriptor; |
| 7241 | descriptor.m_Parameters.m_Eps = 1e-12f; |
| 7242 | descriptor.m_Parameters.m_DataLayout = layout; |
| 7243 | armnn::WorkloadInfo info; |
| 7244 | |
| 7245 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7246 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7247 | |
| 7248 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 7249 | |
| 7250 | inputHandle->Allocate(); |
| 7251 | outputHandle->Allocate(); |
| 7252 | |
| 7253 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
| 7254 | |
| 7255 | workload->PostAllocationConfigure(); |
| 7256 | ExecuteWorkload(*workload, memoryManager); |
| 7257 | |
| 7258 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
| 7259 | |
| 7260 | return result; |
| 7261 | } |
| 7262 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7263 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7264 | LayerTestResult<T, 4> L2Normalization3dTestCommon( |
| 7265 | armnn::IWorkloadFactory& workloadFactory, |
| 7266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7267 | float scale, |
| 7268 | int32_t offset, |
| 7269 | float outScale, |
| 7270 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7271 | const armnn::DataLayout layout) |
| 7272 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7273 | // Width: 3 |
| 7274 | // Height: 4 |
| 7275 | // Channels: 2 |
| 7276 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7277 | unsigned int numberOfBatches = 1; |
| 7278 | unsigned int numberOfChannels = 2; |
| 7279 | unsigned int height = 4; |
| 7280 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7281 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7282 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7283 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7284 | std::vector<float> inputValues |
| 7285 | { |
| 7286 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7287 | 119.0f, 21.0f, 150.0f, |
| 7288 | 149.0f, 32.0f, 179.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7289 | 15.0f, 227.0f, 141.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7290 | 147.0f, 199.0f, 220.0f, |
| 7291 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7292 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7293 | 110.0f, 140.0f, 73.0f, |
| 7294 | 211.0f, 212.0f, 89.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7295 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7296 | 162.0f, 12.0f, 161.0f |
| 7297 | }; |
| 7298 | std::vector<float> expectedOutputValues |
| 7299 | { |
| 7300 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7301 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7302 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7303 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 7304 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7305 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7306 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7307 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7308 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 7309 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 7310 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 7311 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 7312 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 7313 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7314 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7315 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 7316 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7317 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7318 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 7319 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7320 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 7321 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7322 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 7323 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 7324 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7325 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7326 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 7327 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7328 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7329 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7330 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7331 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7332 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7333 | LayerTestResult<float, 4> L2Normalization3dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7334 | armnn::IWorkloadFactory& workloadFactory, |
| 7335 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7336 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7337 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7338 | return L2Normalization3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7339 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7340 | } |
| 7341 | |
| 7342 | LayerTestResult<int16_t, 4> L2Normalization3dInt16Test( |
| 7343 | armnn::IWorkloadFactory& workloadFactory, |
| 7344 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7345 | const armnn::DataLayout layout) |
| 7346 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7347 | 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] | 7348 | layout); |
| 7349 | } |
| 7350 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7351 | LayerTestResult<uint8_t, 4> L2Normalization3dUint8Test( |
| 7352 | armnn::IWorkloadFactory& workloadFactory, |
| 7353 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7354 | const armnn::DataLayout layout) |
| 7355 | { |
| 7356 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7357 | 1.f/128, 128, layout); |
| 7358 | } |
| 7359 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7360 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7361 | LayerTestResult<T, 4> L2Normalization4dTestCommon( |
| 7362 | armnn::IWorkloadFactory& workloadFactory, |
| 7363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7364 | float scale, |
| 7365 | int32_t offset, |
| 7366 | float outScale, |
| 7367 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7368 | const armnn::DataLayout layout) |
| 7369 | { |
| 7370 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7371 | // Height: 4 |
| 7372 | // Channels: 3 |
| 7373 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7374 | unsigned int numberOfBatches = 2; |
| 7375 | unsigned int numberOfChannels = 3; |
| 7376 | unsigned int height = 4; |
| 7377 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7378 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7379 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 7380 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7381 | std::vector<float> inputValues |
| 7382 | { |
| 7383 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7384 | 235.0f, 46.0f, 178.0f, |
| 7385 | 100.0f, 123.0f, 19.0f, |
| 7386 | 172.0f, 74.0f, 250.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7387 | 6.0f, 195.0f, 80.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7388 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7389 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7390 | 113.0f, 95.0f, 202.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7391 | 77.0f, 114.0f, 71.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7392 | 122.0f, 246.0f, 166.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7393 | 82.0f, 28.0f, 37.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7394 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7395 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7396 | 56.0f, 170.0f, 162.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7397 | 194.0f, 89.0f, 254.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7398 | 12.0f, 209.0f, 200.0f, |
| 7399 | 1.0f, 64.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7400 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7401 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7402 | 67.0f, 90.0f, 49.0f, |
| 7403 | 7.0f, 163.0f, 18.0f, |
| 7404 | 25.0f, 117.0f, 103.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7405 | 247.0f, 59.0f, 189.0f, |
| 7406 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7407 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7408 | 239.0f, 104.0f, 199.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7409 | 17.0f, 124.0f, 153.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7410 | 222.0f, 217.0f, 75.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7411 | 32.0f, 126.0f, 21.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7412 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7413 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7414 | 97.0f, 145.0f, 215.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7415 | 115.0f, 116.0f, 238.0f, |
| 7416 | 226.0f, 16.0f, 132.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7417 | 92.0f, 125.0f, 88.0f |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7418 | }; |
| 7419 | std::vector<float> expectedOutputValues |
| 7420 | { |
| 7421 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7422 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7423 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7424 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 7425 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 7426 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7427 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7428 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7429 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7430 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7431 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7432 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7433 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7434 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7435 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7436 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7437 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7438 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7439 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7440 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7441 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7442 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 7443 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 7444 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7445 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 7446 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 7447 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7448 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7449 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7450 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7451 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 7452 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 7453 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7454 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7455 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7456 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7457 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 7458 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7459 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 7460 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 7461 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7462 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7463 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7464 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 7465 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 7466 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 7467 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7468 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7469 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 7470 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7471 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 7472 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 7473 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7474 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7475 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 7476 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7477 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7478 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 7479 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 7480 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7481 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7482 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 7483 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 7484 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 7485 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7486 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 7487 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7488 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7489 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7490 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7491 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7492 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7493 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 7494 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 7495 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 7496 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 7497 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 7498 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7499 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7500 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7501 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7502 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7503 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 7504 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7505 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7506 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 7507 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7508 | } |
| 7509 | |
| 7510 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 7511 | armnn::IWorkloadFactory& workloadFactory, |
| 7512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7513 | const armnn::DataLayout layout) |
| 7514 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7515 | return L2Normalization4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 7516 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 7517 | } |
| 7518 | |
| 7519 | LayerTestResult<int16_t, 4> L2Normalization4dInt16Test( |
| 7520 | armnn::IWorkloadFactory& workloadFactory, |
| 7521 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7522 | const armnn::DataLayout layout) |
| 7523 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7524 | 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] | 7525 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7526 | } |
| 7527 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 7528 | LayerTestResult<uint8_t, 4> L2Normalization4dUint8Test( |
| 7529 | armnn::IWorkloadFactory& workloadFactory, |
| 7530 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7531 | const armnn::DataLayout layout) |
| 7532 | { |
| 7533 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 7534 | 1.f/128, 128, layout); |
| 7535 | } |
| 7536 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7537 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7538 | LayerTestResult<T, 4> ConstantTestImpl( |
| 7539 | armnn::IWorkloadFactory& workloadFactory, |
| 7540 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7541 | float qScale, |
| 7542 | int32_t qOffset) |
| 7543 | { |
| 7544 | constexpr unsigned int inputWidth = 3; |
| 7545 | constexpr unsigned int inputHeight = 4; |
| 7546 | constexpr unsigned int inputChannels = 3; |
| 7547 | constexpr unsigned int inputBatchSize = 2; |
| 7548 | |
| 7549 | constexpr unsigned int outputWidth = inputWidth; |
| 7550 | constexpr unsigned int outputHeight = inputHeight; |
| 7551 | constexpr unsigned int outputChannels = inputChannels; |
| 7552 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7553 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 7554 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7555 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7556 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 7557 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7558 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7559 | |
| 7560 | // Set quantization parameters if the requested type is a quantized type. |
| 7561 | if(armnn::IsQuantizedType<T>()) |
| 7562 | { |
| 7563 | inputTensorInfo.SetQuantizationScale(qScale); |
| 7564 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 7565 | outputTensorInfo.SetQuantizationScale(qScale); |
| 7566 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 7567 | } |
| 7568 | |
| 7569 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 7570 | QuantizedVector<T>(qScale, qOffset, { |
| 7571 | // Batch 0, Channel 0 |
| 7572 | 235.0f, 46.0f, 178.0f, |
| 7573 | 100.0f, 123.0f, 19.0f, |
| 7574 | 172.0f, 74.0f, 250.0f, |
| 7575 | 6.0f, 195.0f, 80.0f, |
| 7576 | |
| 7577 | // Batch 0, Channel 1 |
| 7578 | 113.0f, 95.0f, 202.0f, |
| 7579 | 77.0f, 114.0f, 71.0f, |
| 7580 | 122.0f, 246.0f, 166.0f, |
| 7581 | 82.0f, 28.0f, 37.0f, |
| 7582 | |
| 7583 | // Batch 0, Channel 2 |
| 7584 | 56.0f, 170.0f, 162.0f, |
| 7585 | 194.0f, 89.0f, 254.0f, |
| 7586 | 12.0f, 209.0f, 200.0f, |
| 7587 | 1.0f, 64.0f, 54.0f, |
| 7588 | |
| 7589 | // Batch 1, Channel 0 |
| 7590 | 67.0f, 90.0f, 49.0f, |
| 7591 | 7.0f, 163.0f, 18.0f, |
| 7592 | 25.0f, 117.0f, 103.0f, |
| 7593 | 247.0f, 59.0f, 189.0f, |
| 7594 | |
| 7595 | // Batch 1, Channel 1 |
| 7596 | 239.0f, 104.0f, 199.0f, |
| 7597 | 17.0f, 124.0f, 153.0f, |
| 7598 | 222.0f, 217.0f, 75.0f, |
| 7599 | 32.0f, 126.0f, 21.0f, |
| 7600 | |
| 7601 | // Batch 1, Channel 2 |
| 7602 | 97.0f, 145.0f, 215.0f, |
| 7603 | 115.0f, 116.0f, 238.0f, |
| 7604 | 226.0f, 16.0f, 132.0f, |
| 7605 | 92.0f, 125.0f, 88.0f, |
| 7606 | }))); |
| 7607 | |
| 7608 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7609 | result.outputExpected = input; |
| 7610 | |
| 7611 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7612 | |
| 7613 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 7614 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 7615 | |
| 7616 | armnn::ConstantQueueDescriptor descriptor; |
| 7617 | descriptor.m_LayerOutput = &constantTensor; |
| 7618 | |
| 7619 | armnn::WorkloadInfo info; |
| 7620 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7621 | |
| 7622 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 7623 | |
| 7624 | outputHandle->Allocate(); |
| 7625 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7626 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7627 | workload->Execute(); |
| 7628 | |
| 7629 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7630 | return result; |
| 7631 | } |
| 7632 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7633 | LayerTestResult<float, 4> ConstantTest( |
| 7634 | armnn::IWorkloadFactory& workloadFactory, |
| 7635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7636 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7637 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7638 | } |
| 7639 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 7640 | LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest( |
| 7641 | armnn::IWorkloadFactory& workloadFactory, |
| 7642 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7643 | { |
| 7644 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 7645 | } |
| 7646 | |
| 7647 | LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7648 | armnn::IWorkloadFactory& workloadFactory, |
| 7649 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7650 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7651 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7652 | } |
| 7653 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7654 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7655 | armnn::IWorkloadFactory& workloadFactory, |
| 7656 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7657 | { |
| 7658 | unsigned int outputWidth = 3; |
| 7659 | unsigned int outputHeight = 6; |
| 7660 | unsigned int outputChannels = 3; |
| 7661 | |
| 7662 | unsigned int inputWidth1 = 3; |
| 7663 | unsigned int inputHeight1 = 6; |
| 7664 | unsigned int inputChannels1 = 2; |
| 7665 | |
| 7666 | unsigned int inputWidth2 = 3; |
| 7667 | unsigned int inputHeight2 = 6; |
| 7668 | unsigned int inputChannels2 = 1; |
| 7669 | |
| 7670 | // Defines the tensor descriptors. |
| 7671 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 7672 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 7673 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 7674 | |
| 7675 | // Quantized input1 tensor. Range [-3, 1] |
| 7676 | const float inputScale1 = 0.015686f; |
| 7677 | const int32_t inputOffset1 = 192; |
| 7678 | |
| 7679 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 7680 | { |
| 7681 | 1, 2, 3, |
| 7682 | 4, 5, 6, |
| 7683 | 7, 8, 9, |
| 7684 | 10, 11, 12, |
| 7685 | 13, 14, 15, |
| 7686 | 16, 17, 18, |
| 7687 | |
| 7688 | 19, 20, 21, |
| 7689 | 22, 23, 24, |
| 7690 | 25, 26, 27, |
| 7691 | 28, 29, 30, |
| 7692 | 31, 32, 33, |
| 7693 | 34, 35, 36, |
| 7694 | }) |
| 7695 | ); |
| 7696 | |
| 7697 | // Quatized input2 tensor. Range [-1, 4] |
| 7698 | const float inputScale2 = 0.019608f; |
| 7699 | const int32_t inputOffset2 = 50; |
| 7700 | |
| 7701 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 7702 | { |
| 7703 | 37, 38, 39, |
| 7704 | 40, 41, 42, |
| 7705 | 43, 44, 45, |
| 7706 | 46, 47, 48, |
| 7707 | 49, 50, 51, |
| 7708 | 52, 53, 54, |
| 7709 | }) |
| 7710 | ); |
| 7711 | |
| 7712 | // Output has the same quantization parameters than input1, |
| 7713 | // so that only the requantization of input2 is required |
| 7714 | const float outputScale = 0.015686f; |
| 7715 | const int32_t outputOffset = 192; |
| 7716 | |
| 7717 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 7718 | |
| 7719 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 7720 | { |
| 7721 | 1, 2, 3, |
| 7722 | 4, 5, 6, |
| 7723 | 7, 8, 9, |
| 7724 | 10, 11, 12, |
| 7725 | 13, 14, 15, |
| 7726 | 16, 17, 18, |
| 7727 | |
| 7728 | 19, 20, 21, |
| 7729 | 22, 23, 24, |
| 7730 | 25, 26, 27, |
| 7731 | 28, 29, 30, |
| 7732 | 31, 32, 33, |
| 7733 | 34, 35, 36, |
| 7734 | |
| 7735 | 176, 177, 178, |
| 7736 | 179, 181, 182, |
| 7737 | 183, 184, 186, |
| 7738 | 187, 188, 189, |
| 7739 | 191, 192, 193, |
| 7740 | 195, 196, 197, |
| 7741 | }) |
| 7742 | ); |
| 7743 | |
| 7744 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 7745 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 7746 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 7747 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 7748 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 7749 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 7750 | |
| 7751 | 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] | 7752 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7753 | |
| 7754 | 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] | 7755 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7756 | |
| 7757 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7758 | |
| 7759 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7760 | |
| 7761 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7762 | subTensorsSupported ? |
| 7763 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7764 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7765 | |
| 7766 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7767 | subTensorsSupported ? |
| 7768 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7769 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7770 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7771 | armnn::ConcatQueueDescriptor data; |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7772 | armnn::WorkloadInfo info; |
| 7773 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7774 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 7775 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7776 | |
| 7777 | data.m_ViewOrigins.push_back(window1); |
| 7778 | data.m_ViewOrigins.push_back(window2); |
| 7779 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7780 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7781 | |
| 7782 | inputHandle1->Allocate(); |
| 7783 | inputHandle2->Allocate(); |
| 7784 | outputHandle->Allocate(); |
| 7785 | |
| 7786 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7787 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 7788 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7789 | workload->PostAllocationConfigure(); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7790 | workload->Execute(); |
| 7791 | |
| 7792 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7793 | |
| 7794 | return ret; |
| 7795 | } |
| 7796 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7797 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7798 | armnn::IWorkloadFactory& workloadFactory, |
| 7799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7800 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7801 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7802 | unsigned int outputHeight = 6; |
| 7803 | unsigned int outputChannels = 3; |
| 7804 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7805 | unsigned int inputWidth1 = 3; |
| 7806 | unsigned int inputHeight1 = 6; |
| 7807 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7808 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7809 | unsigned int inputWidth2 = 3; |
| 7810 | unsigned int inputHeight2 = 6; |
| 7811 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7812 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7813 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7814 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 7815 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 7816 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7817 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7818 | // 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] | 7819 | const float scale = 0.13497836f; |
| 7820 | const int32_t offset = -7; |
| 7821 | |
| 7822 | outputTensorInfo.SetQuantizationScale(scale); |
| 7823 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7824 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7825 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7826 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7827 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7828 | |
| 7829 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 7830 | |
| 7831 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7832 | { |
| 7833 | 1, 2, 3, |
| 7834 | 4, 5, 6, |
| 7835 | 7, 8, 9, |
| 7836 | 10, 11, 12, |
| 7837 | 13, 14, 15, |
| 7838 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7839 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7840 | 19, 20, 21, |
| 7841 | 22, 23, 24, |
| 7842 | 25, 26, 27, |
| 7843 | 28, 29, 30, |
| 7844 | 31, 32, 33, |
| 7845 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7846 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7847 | 37, 38, 39, |
| 7848 | 40, 41, 42, |
| 7849 | 43, 44, 45, |
| 7850 | 46, 47, 48, |
| 7851 | 49, 50, 51, |
| 7852 | 52, 53, 54, |
| 7853 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7854 | ); |
| 7855 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7856 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 7857 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7858 | 1, 2, 3, |
| 7859 | 4, 5, 6, |
| 7860 | 7, 8, 9, |
| 7861 | 10, 11, 12, |
| 7862 | 13, 14, 15, |
| 7863 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7864 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7865 | 19, 20, 21, |
| 7866 | 22, 23, 24, |
| 7867 | 25, 26, 27, |
| 7868 | 28, 29, 30, |
| 7869 | 31, 32, 33, |
| 7870 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7871 | }) |
| 7872 | ); |
| 7873 | |
| 7874 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 7875 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7876 | 37, 38, 39, |
| 7877 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7878 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7879 | 46, 47, 48, |
| 7880 | 49, 50, 51, |
| 7881 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7882 | }) |
| 7883 | ); |
| 7884 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7885 | 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] | 7886 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7887 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7888 | 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] | 7889 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7890 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7891 | |
| 7892 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7893 | |
| 7894 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7895 | |
| 7896 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7897 | subTensorsSupported ? |
| 7898 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7899 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7900 | |
| 7901 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7902 | subTensorsSupported ? |
| 7903 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7904 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7905 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7906 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7907 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7908 | armnn::WorkloadInfo info; |
| 7909 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7910 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7911 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7912 | |
| 7913 | data.m_ViewOrigins.push_back(window1); |
| 7914 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7915 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7916 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7917 | |
| 7918 | inputHandle1->Allocate(); |
| 7919 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7920 | outputHandle->Allocate(); |
| 7921 | |
| 7922 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7923 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7924 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7925 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7926 | workload->Execute(); |
| 7927 | |
| 7928 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7929 | |
| 7930 | return ret; |
| 7931 | } |
| 7932 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7933 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7934 | armnn::IWorkloadFactory& workloadFactory, |
| 7935 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7936 | { |
| 7937 | unsigned int outputWidth = 3; |
| 7938 | unsigned int outputHeight = 6; |
| 7939 | unsigned int outputChannels = 3; |
| 7940 | |
| 7941 | unsigned int inputWidth1 = 3; |
| 7942 | unsigned int inputHeight1 = 6; |
| 7943 | unsigned int inputChannels1 = 2; |
| 7944 | |
| 7945 | unsigned int inputWidth2 = 3; |
| 7946 | unsigned int inputHeight2 = 6; |
| 7947 | unsigned int inputChannels2 = 1; |
| 7948 | |
| 7949 | // Defines the tensor descriptors. |
| 7950 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedSymm16); |
| 7951 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedSymm16); |
| 7952 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedSymm16); |
| 7953 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7954 | // 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] | 7955 | const float scale = 0.13497836f; |
| 7956 | const int32_t offset = -7; |
| 7957 | |
| 7958 | outputTensorInfo.SetQuantizationScale(scale); |
| 7959 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7960 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7961 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7962 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7963 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 7964 | |
| 7965 | LayerTestResult<uint16_t, 3> ret(outputTensorInfo); |
| 7966 | |
| 7967 | ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>( |
| 7968 | { |
| 7969 | 1, 2, 3, |
| 7970 | 4, 5, 6, |
| 7971 | 7, 8, 9, |
| 7972 | 10, 11, 12, |
| 7973 | 13, 14, 15, |
| 7974 | 16, 17, 18, |
| 7975 | |
| 7976 | 19, 20, 21, |
| 7977 | 22, 23, 24, |
| 7978 | 25, 26, 27, |
| 7979 | 28, 29, 30, |
| 7980 | 31, 32, 33, |
| 7981 | 34, 35, 36, |
| 7982 | |
| 7983 | 37, 38, 39, |
| 7984 | 40, 41, 42, |
| 7985 | 43, 44, 45, |
| 7986 | 46, 47, 48, |
| 7987 | 49, 50, 51, |
| 7988 | 52, 53, 54, |
| 7989 | })); |
| 7990 | |
| 7991 | auto input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>( |
| 7992 | { |
| 7993 | 1, 2, 3, |
| 7994 | 4, 5, 6, |
| 7995 | 7, 8, 9, |
| 7996 | 10, 11, 12, |
| 7997 | 13, 14, 15, |
| 7998 | 16, 17, 18, |
| 7999 | |
| 8000 | 19, 20, 21, |
| 8001 | 22, 23, 24, |
| 8002 | 25, 26, 27, |
| 8003 | 28, 29, 30, |
| 8004 | 31, 32, 33, |
| 8005 | 34, 35, 36, |
| 8006 | })); |
| 8007 | |
| 8008 | auto input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>( |
| 8009 | { |
| 8010 | 37, 38, 39, |
| 8011 | 40, 41, 42, |
| 8012 | 43, 44, 45, |
| 8013 | 46, 47, 48, |
| 8014 | 49, 50, 51, |
| 8015 | 52, 53, 54, |
| 8016 | })); |
| 8017 | |
| 8018 | 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] | 8019 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 8020 | |
| 8021 | 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] | 8022 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 8023 | |
| 8024 | |
| 8025 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8026 | |
| 8027 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 8028 | |
| 8029 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 8030 | subTensorsSupported ? |
| 8031 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 8032 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 8033 | |
| 8034 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 8035 | subTensorsSupported ? |
| 8036 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 8037 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 8038 | |
| 8039 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 8040 | armnn::ConcatQueueDescriptor data; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 8041 | armnn::WorkloadInfo info; |
| 8042 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 8043 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 8044 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8045 | |
| 8046 | data.m_ViewOrigins.push_back(window1); |
| 8047 | data.m_ViewOrigins.push_back(window2); |
| 8048 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 8049 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 8050 | |
| 8051 | inputHandle1->Allocate(); |
| 8052 | inputHandle2->Allocate(); |
| 8053 | outputHandle->Allocate(); |
| 8054 | |
| 8055 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 8056 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 8057 | |
| 8058 | workload->PostAllocationConfigure(); |
| 8059 | workload->Execute(); |
| 8060 | |
| 8061 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 8062 | |
| 8063 | return ret; |
| 8064 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8065 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8066 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8067 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8068 | template <typename T> |
| 8069 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8070 | armnn::IWorkloadFactory& workloadFactory, |
| 8071 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8072 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8073 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8074 | float scale0, |
| 8075 | int32_t offset0, |
| 8076 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8077 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8078 | float scale1, |
| 8079 | int32_t offset1, |
| 8080 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8081 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8082 | float outScale, |
| 8083 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8084 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8085 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 8086 | armnn::DataType::QuantisedAsymm8 : |
| 8087 | armnn::DataType::QuantisedSymm16); |
| 8088 | |
| 8089 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 8090 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 8091 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8092 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8093 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 8094 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8095 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8096 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 8097 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8098 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8099 | outputTensorInfo.SetQuantizationScale(outScale); |
| 8100 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8101 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8102 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 8103 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8104 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8105 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 8106 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 8107 | |
| 8108 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 8109 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 8110 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8111 | |
| 8112 | armnn::AdditionQueueDescriptor data; |
| 8113 | armnn::WorkloadInfo info; |
| 8114 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 8115 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 8116 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8117 | |
| 8118 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 8119 | |
| 8120 | inputHandle0->Allocate(); |
| 8121 | inputHandle1->Allocate(); |
| 8122 | outputHandle->Allocate(); |
| 8123 | |
| 8124 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 8125 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 8126 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8127 | workload->PostAllocationConfigure(); |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8128 | workload->Execute(); |
| 8129 | |
| 8130 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8131 | |
| 8132 | return result; |
| 8133 | } |
| 8134 | } // anonymous namespace |
| 8135 | |
| 8136 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 8137 | armnn::IWorkloadFactory& workloadFactory, |
| 8138 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8139 | { |
| 8140 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8141 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 8142 | |
| 8143 | std::vector<uint8_t> input0( |
| 8144 | { |
| 8145 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 8146 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 8147 | }); |
| 8148 | |
| 8149 | std::vector<uint8_t> input1( |
| 8150 | { |
| 8151 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 8152 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 8153 | }); |
| 8154 | |
| 8155 | std::vector<uint8_t> output( |
| 8156 | { |
| 8157 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 8158 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 8159 | }); |
| 8160 | |
| 8161 | return AdditionQuantizeTestHelper(workloadFactory, |
| 8162 | memoryManager, |
| 8163 | shape0, input0, 7.0f, 3, |
| 8164 | shape1, input1, 7.0f, 3, |
| 8165 | shape0, output, 7.0f, 3); |
| 8166 | } |
| 8167 | |
| 8168 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 8169 | armnn::IWorkloadFactory& workloadFactory, |
| 8170 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8171 | { |
| 8172 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8173 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 8174 | |
| 8175 | std::vector<int16_t> input0( |
| 8176 | { |
| 8177 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 8178 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 8179 | }); |
| 8180 | |
| 8181 | std::vector<int16_t> input1( |
| 8182 | { |
| 8183 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 8184 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 8185 | }); |
| 8186 | |
| 8187 | std::vector<int16_t> output( |
| 8188 | { |
| 8189 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 8190 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 8191 | }); |
| 8192 | |
| 8193 | return AdditionQuantizeTestHelper(workloadFactory, |
| 8194 | memoryManager, |
| 8195 | shape0, input0, 7.0f, 0, |
| 8196 | shape1, input1, 7.0f, 0, |
| 8197 | shape0, output, 7.0f, 0); |
| 8198 | } |
| 8199 | |
| 8200 | namespace |
| 8201 | { |
| 8202 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 8203 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 8204 | armnn::IWorkloadFactory& workloadFactory, |
| 8205 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8206 | const unsigned int shape0[4], |
| 8207 | const std::vector<T> & values0, |
| 8208 | float scale0, |
| 8209 | int32_t offset0, |
| 8210 | const unsigned int shape1[4], |
| 8211 | const std::vector<T> & values1, |
| 8212 | float scale1, |
| 8213 | int32_t offset1, |
| 8214 | const unsigned int outShape[4], |
| 8215 | const std::vector<T> & outValues, |
| 8216 | float outScale, |
| 8217 | int32_t outOffset) |
| 8218 | { |
| 8219 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 8220 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 8221 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 8222 | |
| 8223 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 8224 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 8225 | |
| 8226 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 8227 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 8228 | |
| 8229 | outputTensorInfo.SetQuantizationScale(outScale); |
| 8230 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 8231 | |
| 8232 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 8233 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 8234 | |
| 8235 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 8236 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8237 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8238 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8239 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8240 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8241 | |
| 8242 | armnn::MultiplicationQueueDescriptor data; |
| 8243 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8244 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 8245 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8246 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8247 | |
| 8248 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 8249 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8250 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8251 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8252 | outputHandle->Allocate(); |
| 8253 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8254 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8255 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8256 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8257 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8258 | workload->Execute(); |
| 8259 | |
| 8260 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8261 | |
| 8262 | return result; |
| 8263 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8264 | } // anonymous namespace |
| 8265 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8266 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 8267 | armnn::IWorkloadFactory& workloadFactory, |
| 8268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8269 | { |
| 8270 | unsigned int batchSize = 1; |
| 8271 | unsigned int channels = 2; |
| 8272 | unsigned int height = 2; |
| 8273 | unsigned int width = 3; |
| 8274 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 8275 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 8276 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8277 | std::vector<uint8_t> input0({ |
| 8278 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 8279 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 8280 | }); |
| 8281 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 8282 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8283 | std::vector<uint8_t> input1({ |
| 8284 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 8285 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 8286 | }); |
| 8287 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 8288 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8289 | std::vector<uint8_t> output( |
| 8290 | { |
| 8291 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 8292 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 8293 | }); |
| 8294 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8295 | // Scale/offset chosen to have output values out of range. |
| 8296 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8297 | memoryManager, |
| 8298 | shape, |
| 8299 | input0, |
| 8300 | 4.0f, |
| 8301 | 1, |
| 8302 | shape, |
| 8303 | input1, |
| 8304 | 3.0f, |
| 8305 | -2, |
| 8306 | shape, |
| 8307 | output, |
| 8308 | 1366.255f, |
| 8309 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8310 | } |
| 8311 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8312 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 8313 | armnn::IWorkloadFactory& workloadFactory, |
| 8314 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8315 | { |
| 8316 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8317 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8318 | |
| 8319 | std::vector<uint8_t> input0({ |
| 8320 | 1, 2, 3, 4, 5, 6, |
| 8321 | 7, 8, 9, 10, 11, 12 |
| 8322 | }); |
| 8323 | |
| 8324 | std::vector<uint8_t> input1({2}); |
| 8325 | |
| 8326 | std::vector<uint8_t> output({ |
| 8327 | 2, 4, 6, 8, 10, 12, |
| 8328 | 14, 16, 18, 20, 22, 24 |
| 8329 | }); |
| 8330 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8331 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8332 | memoryManager, |
| 8333 | shape0, |
| 8334 | input0, |
| 8335 | 1.0f, |
| 8336 | 0, |
| 8337 | shape1, |
| 8338 | input1, |
| 8339 | 1.0f, |
| 8340 | 0, |
| 8341 | shape0, |
| 8342 | output, |
| 8343 | 1.0f, |
| 8344 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8345 | } |
| 8346 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8347 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 8348 | armnn::IWorkloadFactory& workloadFactory, |
| 8349 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8350 | { |
| 8351 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8352 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 8353 | |
| 8354 | std::vector<uint8_t> input0({ |
| 8355 | 1, 2, 3, 4, 5, 6, |
| 8356 | 7, 8, 9, 10, 11, 12 |
| 8357 | }); |
| 8358 | |
| 8359 | std::vector<uint8_t> input1({1, 2, 3}); |
| 8360 | |
| 8361 | std::vector<uint8_t> output({ |
| 8362 | 1, 4, 9, 4, 10, 18, |
| 8363 | 7, 16, 27, 10, 22, 36 |
| 8364 | }); |
| 8365 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8366 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8367 | memoryManager, |
| 8368 | shape0, |
| 8369 | input0, |
| 8370 | 1.0f, |
| 8371 | 0, |
| 8372 | shape1, |
| 8373 | input1, |
| 8374 | 1.0f, |
| 8375 | 0, |
| 8376 | shape0, |
| 8377 | output, |
| 8378 | 1.0f, |
| 8379 | 0); |
| 8380 | } |
| 8381 | |
| 8382 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 8383 | armnn::IWorkloadFactory& workloadFactory, |
| 8384 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8385 | { |
| 8386 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 8387 | |
| 8388 | std::vector<int16_t> input0( |
| 8389 | { |
| 8390 | 6, 7, 8, 9, 10, 11, |
| 8391 | 12, 13, 14, 15, 16, 17 |
| 8392 | }); |
| 8393 | |
| 8394 | std::vector<int16_t> input1( |
| 8395 | { |
| 8396 | 1, 2, 3, 4, 5, 6, |
| 8397 | 7, 8, 9, 10, 11, 12 |
| 8398 | }); |
| 8399 | |
| 8400 | std::vector<int16_t> output( |
| 8401 | { |
| 8402 | 6, 14, 24, 36, 50, 66, |
| 8403 | 84, 104, 126, 150, 176, 204 |
| 8404 | }); |
| 8405 | |
| 8406 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8407 | memoryManager, |
| 8408 | shape, |
| 8409 | input0, |
| 8410 | 1.0f, |
| 8411 | 0, |
| 8412 | shape, |
| 8413 | input1, |
| 8414 | 1.0f, |
| 8415 | 0, |
| 8416 | shape, |
| 8417 | output, |
| 8418 | 1.0f, |
| 8419 | 0); |
| 8420 | } |
| 8421 | |
| 8422 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 8423 | armnn::IWorkloadFactory& workloadFactory, |
| 8424 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8425 | { |
| 8426 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8427 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8428 | |
| 8429 | std::vector<int16_t> input0( |
| 8430 | { |
| 8431 | 1, 2, 3, 4, 5, 6, |
| 8432 | 7, 8, 9, 10, 11, 12 |
| 8433 | }); |
| 8434 | |
| 8435 | std::vector<int16_t> input1({2}); |
| 8436 | |
| 8437 | std::vector<int16_t> output( |
| 8438 | { |
| 8439 | 2, 4, 6, 8, 10, 12, |
| 8440 | 14, 16, 18, 20, 22, 24 |
| 8441 | }); |
| 8442 | |
| 8443 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8444 | memoryManager, |
| 8445 | shape0, |
| 8446 | input0, |
| 8447 | 1.0f, |
| 8448 | 0, |
| 8449 | shape1, |
| 8450 | input1, |
| 8451 | 1.0f, |
| 8452 | 0, |
| 8453 | shape0, |
| 8454 | output, |
| 8455 | 1.0f, |
| 8456 | 0); |
| 8457 | } |
| 8458 | |
| 8459 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 8460 | armnn::IWorkloadFactory& workloadFactory, |
| 8461 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8462 | { |
| 8463 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 8464 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 8465 | |
| 8466 | std::vector<int16_t> input0( |
| 8467 | { |
| 8468 | 1, 2, 3, 4, 5, 6, |
| 8469 | 7, 8, 9, 10, 11, 12 |
| 8470 | }); |
| 8471 | |
| 8472 | std::vector<int16_t> input1({1, 2, 3}); |
| 8473 | |
| 8474 | std::vector<int16_t> output( |
| 8475 | { |
| 8476 | 1, 4, 9, 4, 10, 18, |
| 8477 | 7, 16, 27, 10, 22, 36 |
| 8478 | }); |
| 8479 | |
| 8480 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8481 | memoryManager, |
| 8482 | shape0, |
| 8483 | input0, |
| 8484 | 1.0f, |
| 8485 | 0, |
| 8486 | shape1, |
| 8487 | input1, |
| 8488 | 1.0f, |
| 8489 | 0, |
| 8490 | shape0, |
| 8491 | output, |
| 8492 | 1.0f, |
| 8493 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8494 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8495 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8496 | namespace |
| 8497 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8498 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8499 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 8500 | armnn::IWorkloadFactory& workloadFactory, |
| 8501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8502 | const unsigned int shape0[4], |
| 8503 | const std::vector<T>& values0, |
| 8504 | float scale0, |
| 8505 | int32_t offset0, |
| 8506 | const unsigned int shape1[4], |
| 8507 | const std::vector<T> & values1, |
| 8508 | float scale1, |
| 8509 | int32_t offset1, |
| 8510 | const unsigned int outShape[4], |
| 8511 | const std::vector<T> & outValues, |
| 8512 | float outScale, |
| 8513 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8514 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8515 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 8516 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 8517 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8518 | |
| 8519 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 8520 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 8521 | |
| 8522 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 8523 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 8524 | |
| 8525 | outputTensorInfo.SetQuantizationScale(outScale); |
| 8526 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 8527 | |
| 8528 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 8529 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 8530 | |
| 8531 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 8532 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 8533 | |
| 8534 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 8535 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 8536 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8537 | |
| 8538 | armnn::SubtractionQueueDescriptor data; |
| 8539 | armnn::WorkloadInfo info; |
| 8540 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 8541 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 8542 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8543 | |
| 8544 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 8545 | |
| 8546 | inputHandle0->Allocate(); |
| 8547 | inputHandle1->Allocate(); |
| 8548 | outputHandle->Allocate(); |
| 8549 | |
| 8550 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 8551 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 8552 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8553 | workload->PostAllocationConfigure(); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8554 | workload->Execute(); |
| 8555 | |
| 8556 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8557 | |
| 8558 | return result; |
| 8559 | } |
| 8560 | } // anonymous namespace |
| 8561 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8562 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 8563 | armnn::IWorkloadFactory& workloadFactory, |
| 8564 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8565 | { |
| 8566 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8567 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 8568 | |
| 8569 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 8570 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 8571 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 8572 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8573 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8574 | memoryManager, |
| 8575 | shape0, input0, 0.5f, 2, |
| 8576 | shape1, input1, 1.0f, 0, |
| 8577 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8578 | } |
| 8579 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8580 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 8581 | armnn::IWorkloadFactory& workloadFactory, |
| 8582 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8583 | { |
| 8584 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8585 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8586 | |
| 8587 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 8588 | std::vector<uint8_t> input1({ 2 }); |
| 8589 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 8590 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8591 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8592 | memoryManager, |
| 8593 | shape0, input0, 0.5f, 2, |
| 8594 | shape1, input1, 1.0f, 0, |
| 8595 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8596 | } |
| 8597 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8598 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 8599 | armnn::IWorkloadFactory& workloadFactory, |
| 8600 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8601 | { |
| 8602 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8603 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 8604 | |
| 8605 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 8606 | std::vector<uint8_t> input1({ 2, 1 }); |
| 8607 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 8608 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8609 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 8610 | memoryManager, |
| 8611 | shape0, input0, 1.0f, 0, |
| 8612 | shape1, input1, 1.0f, 0, |
| 8613 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8614 | } |
| 8615 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8616 | LayerTestResult<float, 4> SubtractionTest( |
| 8617 | armnn::IWorkloadFactory& workloadFactory, |
| 8618 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8619 | { |
| 8620 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8621 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 8622 | |
| 8623 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 8624 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 8625 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 8626 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8627 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 8628 | memoryManager, |
| 8629 | shape0, input0, 1.0f, 0, |
| 8630 | shape1, input1, 1.0f, 0, |
| 8631 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8632 | } |
| 8633 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8634 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 8635 | armnn::IWorkloadFactory& workloadFactory, |
| 8636 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8637 | { |
| 8638 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8639 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8640 | |
| 8641 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 8642 | std::vector<float> input1({ 10 }); |
| 8643 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 8644 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8645 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 8646 | memoryManager, |
| 8647 | shape0, input0, 1.0f, 0, |
| 8648 | shape1, input1, 1.0f, 0, |
| 8649 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8650 | } |
| 8651 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8652 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 8653 | armnn::IWorkloadFactory& workloadFactory, |
| 8654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8655 | { |
| 8656 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8657 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 8658 | |
| 8659 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 8660 | std::vector<float> input1({ 10, -5 }); |
| 8661 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 8662 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 8663 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 8664 | memoryManager, |
| 8665 | shape0, input0, 1.0f, 0, |
| 8666 | shape1, input1, 1.0f, 0, |
| 8667 | shape0, output, 1.0f, 0); |
| 8668 | } |
| 8669 | |
| 8670 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 8671 | armnn::IWorkloadFactory& workloadFactory, |
| 8672 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8673 | { |
| 8674 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8675 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 8676 | |
| 8677 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8678 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 8679 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 8680 | |
| 8681 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8682 | memoryManager, |
| 8683 | shape0, input0, 0.5f, 0, |
| 8684 | shape1, input1, 1.0f, 0, |
| 8685 | shape0, output, 1.0f, 0); |
| 8686 | } |
| 8687 | |
| 8688 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 8689 | armnn::IWorkloadFactory& workloadFactory, |
| 8690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8691 | { |
| 8692 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8693 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 8694 | |
| 8695 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8696 | std::vector<int16_t> input1({ 2 }); |
| 8697 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 8698 | |
| 8699 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8700 | memoryManager, |
| 8701 | shape0, input0, 0.5f, 0, |
| 8702 | shape1, input1, 1.0f, 0, |
| 8703 | shape0, output, 1.0f, 0); |
| 8704 | } |
| 8705 | |
| 8706 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 8707 | armnn::IWorkloadFactory& workloadFactory, |
| 8708 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8709 | { |
| 8710 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 8711 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 8712 | |
| 8713 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8714 | std::vector<int16_t> input1({ 2, 1 }); |
| 8715 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 8716 | |
| 8717 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8718 | memoryManager, |
| 8719 | shape0, input0, 1.0f, 0, |
| 8720 | shape1, input1, 1.0f, 0, |
| 8721 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8722 | } |
| 8723 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8724 | LayerTestResult<float, 4> BatchNormTest( |
| 8725 | armnn::IWorkloadFactory& workloadFactory, |
| 8726 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8727 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8728 | // BatchSize: 1 |
| 8729 | // Channels: 2 |
| 8730 | // Height: 3 |
| 8731 | // Width: 2 |
| 8732 | |
| 8733 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8734 | std::vector<float> inputValues |
| 8735 | { |
| 8736 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8737 | 1.f, 4.f, |
| 8738 | 4.f, 2.f, |
| 8739 | 1.f, 6.f, |
| 8740 | |
| 8741 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8742 | 1.f, 1.f, |
| 8743 | 4.f, 1.f, |
| 8744 | -2.f, 4.f |
| 8745 | }; |
| 8746 | std::vector<float> expectedOutputValues |
| 8747 | { |
| 8748 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8749 | 1.f, 4.f, |
| 8750 | 4.f, 2.f, |
| 8751 | 1.f, 6.f, |
| 8752 | |
| 8753 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8754 | 3.f, 3.f, |
| 8755 | 4.f, 3.f, |
| 8756 | 2.f, 4.f |
| 8757 | }; |
| 8758 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8759 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8760 | workloadFactory, memoryManager, |
| 8761 | inputOutputShape, inputValues, expectedOutputValues, |
| 8762 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8763 | } |
| 8764 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8765 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 8766 | armnn::IWorkloadFactory& workloadFactory, |
| 8767 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8768 | { |
| 8769 | // BatchSize: 1 |
| 8770 | // Height: 3 |
| 8771 | // Width: 2 |
| 8772 | // Channels: 2 |
| 8773 | |
| 8774 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8775 | std::vector<float> inputValues |
| 8776 | { |
| 8777 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8778 | 1.f, 1.f, |
| 8779 | 4.f, 1.f, |
| 8780 | |
| 8781 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8782 | 4.f, 4.f, |
| 8783 | 2.f, 1.f, |
| 8784 | |
| 8785 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8786 | 1.f, -2.f, |
| 8787 | 6.f, 4.f |
| 8788 | }; |
| 8789 | std::vector<float> expectedOutputValues |
| 8790 | { |
| 8791 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8792 | 1.f, 3.f, |
| 8793 | 4.f, 3.f, |
| 8794 | |
| 8795 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8796 | 4.f, 4.f, |
| 8797 | 2.f, 3.f, |
| 8798 | |
| 8799 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8800 | 1.f, 2.f, |
| 8801 | 6.f, 4.f |
| 8802 | }; |
| 8803 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8804 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8805 | workloadFactory, memoryManager, |
| 8806 | inputOutputShape, inputValues, expectedOutputValues, |
| 8807 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8808 | } |
| 8809 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8810 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 8811 | armnn::IWorkloadFactory& workloadFactory, |
| 8812 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8813 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8814 | // BatchSize: 1 |
| 8815 | // Channels: 2 |
| 8816 | // Height: 3 |
| 8817 | // Width: 2 |
| 8818 | |
| 8819 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8820 | std::vector<float> inputValues |
| 8821 | { |
| 8822 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8823 | 1.f, 4.f, |
| 8824 | 4.f, 2.f, |
| 8825 | 1.f, 6.f, |
| 8826 | |
| 8827 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8828 | 1.f, 1.f, |
| 8829 | 4.f, 1.f, |
| 8830 | -2.f, 4.f |
| 8831 | }; |
| 8832 | std::vector<float> expectedOutputValues |
| 8833 | { |
| 8834 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8835 | 1.f, 4.f, |
| 8836 | 4.f, 2.f, |
| 8837 | 1.f, 6.f, |
| 8838 | |
| 8839 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8840 | 3.f, 3.f, |
| 8841 | 4.f, 3.f, |
| 8842 | 2.f, 4.f |
| 8843 | }; |
| 8844 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8845 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8846 | workloadFactory, memoryManager, |
| 8847 | inputOutputShape, inputValues, expectedOutputValues, |
| 8848 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8849 | } |
| 8850 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8851 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 8852 | armnn::IWorkloadFactory& workloadFactory, |
| 8853 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8854 | { |
| 8855 | // BatchSize: 1 |
| 8856 | // Height: 3 |
| 8857 | // Width: 2 |
| 8858 | // Channels: 2 |
| 8859 | |
| 8860 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8861 | std::vector<float> inputValues |
| 8862 | { |
| 8863 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8864 | 1.f, 1.f, |
| 8865 | 4.f, 1.f, |
| 8866 | |
| 8867 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8868 | 4.f, 4.f, |
| 8869 | 2.f, 1.f, |
| 8870 | |
| 8871 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8872 | 1.f, -2.f, |
| 8873 | 6.f, 4.f |
| 8874 | }; |
| 8875 | std::vector<float> expectedOutputValues |
| 8876 | { |
| 8877 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8878 | 1.f, 3.f, |
| 8879 | 4.f, 3.f, |
| 8880 | |
| 8881 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8882 | 4.f, 4.f, |
| 8883 | 2.f, 3.f, |
| 8884 | |
| 8885 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8886 | 1.f, 2.f, |
| 8887 | 6.f, 4.f |
| 8888 | }; |
| 8889 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8890 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 8891 | (workloadFactory, memoryManager, |
| 8892 | inputOutputShape, inputValues, expectedOutputValues, |
| 8893 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8894 | } |
| 8895 | |
Matteo Martincigh | f550713 | 2019-06-04 10:59:47 +0100 | [diff] [blame] | 8896 | LayerTestResult<int16_t, 4> BatchNormInt16Test( |
| 8897 | armnn::IWorkloadFactory& workloadFactory, |
| 8898 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8899 | { |
| 8900 | // BatchSize: 1 |
| 8901 | // Channels: 2 |
| 8902 | // Height: 3 |
| 8903 | // Width: 2 |
| 8904 | |
| 8905 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8906 | std::vector<float> inputValues |
| 8907 | { |
| 8908 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8909 | 1.f, 4.f, |
| 8910 | 4.f, 2.f, |
| 8911 | 1.f, 6.f, |
| 8912 | |
| 8913 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8914 | 1.f, 1.f, |
| 8915 | 4.f, 1.f, |
| 8916 | -2.f, 4.f |
| 8917 | }; |
| 8918 | std::vector<float> expectedOutputValues |
| 8919 | { |
| 8920 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8921 | 1.f, 4.f, |
| 8922 | 4.f, 2.f, |
| 8923 | 1.f, 6.f, |
| 8924 | |
| 8925 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8926 | 3.f, 3.f, |
| 8927 | 4.f, 3.f, |
| 8928 | 2.f, 4.f |
| 8929 | }; |
| 8930 | |
| 8931 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16>( |
| 8932 | workloadFactory, memoryManager, |
| 8933 | inputOutputShape, inputValues, expectedOutputValues, |
| 8934 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
| 8935 | } |
| 8936 | |
| 8937 | LayerTestResult<int16_t, 4> BatchNormInt16NhwcTest( |
| 8938 | armnn::IWorkloadFactory& workloadFactory, |
| 8939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8940 | { |
| 8941 | // BatchSize: 1 |
| 8942 | // Height: 3 |
| 8943 | // Width: 2 |
| 8944 | // Channels: 2 |
| 8945 | |
| 8946 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8947 | std::vector<float> inputValues |
| 8948 | { |
| 8949 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8950 | 1.f, 1.f, |
| 8951 | 4.f, 1.f, |
| 8952 | |
| 8953 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8954 | 4.f, 4.f, |
| 8955 | 2.f, 1.f, |
| 8956 | |
| 8957 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8958 | 1.f, -2.f, |
| 8959 | 6.f, 4.f |
| 8960 | }; |
| 8961 | std::vector<float> expectedOutputValues |
| 8962 | { |
| 8963 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8964 | 1.f, 3.f, |
| 8965 | 4.f, 3.f, |
| 8966 | |
| 8967 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8968 | 4.f, 4.f, |
| 8969 | 2.f, 3.f, |
| 8970 | |
| 8971 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8972 | 1.f, 2.f, |
| 8973 | 6.f, 4.f |
| 8974 | }; |
| 8975 | |
| 8976 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16> |
| 8977 | (workloadFactory, memoryManager, |
| 8978 | inputOutputShape, inputValues, expectedOutputValues, |
| 8979 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
| 8980 | } |
| 8981 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8982 | LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 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 ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8987 | } |
| 8988 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8989 | LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest( |
| 8990 | armnn::IWorkloadFactory& workloadFactory, |
| 8991 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8992 | { |
| 8993 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 2e-6f, 1); |
| 8994 | } |
| 8995 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8996 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 8997 | armnn::IWorkloadFactory& workloadFactory, |
| 8998 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8999 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9000 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9001 | } |
| 9002 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9003 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 9004 | armnn::IWorkloadFactory& workloadFactory, |
| 9005 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9006 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9007 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9008 | } |
| 9009 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9010 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 9011 | armnn::IWorkloadFactory& workloadFactory, |
| 9012 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9013 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9014 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9015 | } |
| 9016 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9017 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 9018 | armnn::IWorkloadFactory& workloadFactory, |
| 9019 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9020 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9021 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9022 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9023 | } |
| 9024 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9025 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 9026 | armnn::IWorkloadFactory& workloadFactory, |
| 9027 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9028 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9029 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9030 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9031 | } |
| 9032 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9033 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 9034 | armnn::IWorkloadFactory& workloadFactory, |
| 9035 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9036 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9037 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9038 | } |
| 9039 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9040 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 9041 | armnn::IWorkloadFactory& workloadFactory, |
| 9042 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9043 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9044 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9045 | } |
| 9046 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9047 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 9048 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9049 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9050 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9051 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9052 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9053 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9054 | } |
| 9055 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9056 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 9057 | armnn::IWorkloadFactory& workloadFactory, |
| 9058 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9059 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9060 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9061 | } |
| 9062 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9063 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 9064 | armnn::IWorkloadFactory& workloadFactory, |
| 9065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9066 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9067 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9068 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9069 | } |
| 9070 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9071 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 9072 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9073 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9074 | bool useSubtensor) |
| 9075 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9076 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9077 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9078 | } |
| 9079 | |
| 9080 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 9081 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9082 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9083 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9084 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9085 | } |
| 9086 | |
| 9087 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 9088 | armnn::IWorkloadFactory& workloadFactory, |
| 9089 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9090 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9091 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9092 | } |
| 9093 | |
| 9094 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 9095 | armnn::IWorkloadFactory& workloadFactory, |
| 9096 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9097 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9098 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9099 | } |
| 9100 | |
| 9101 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 9102 | armnn::IWorkloadFactory& workloadFactory, |
| 9103 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 9104 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9105 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9106 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9107 | } |
| 9108 | |
| 9109 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 9110 | armnn::IWorkloadFactory& workloadFactory, |
| 9111 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9112 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9113 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9114 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9115 | } |
| 9116 | |
| 9117 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 9118 | armnn::IWorkloadFactory& workloadFactory, |
| 9119 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9120 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9121 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9122 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9123 | } |
| 9124 | |
| 9125 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 9126 | armnn::IWorkloadFactory& workloadFactory, |
| 9127 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9128 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9129 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9130 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 9131 | } |
| 9132 | |
| 9133 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 9134 | armnn::IWorkloadFactory& workloadFactory, |
| 9135 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9136 | bool useSubtensor) |
| 9137 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9138 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9139 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9140 | } |
| 9141 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9142 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 9143 | armnn::IWorkloadFactory& workloadFactory, |
| 9144 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9145 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9146 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9147 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 9148 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9149 | } |
| 9150 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9151 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 9152 | armnn::IWorkloadFactory& workloadFactory, |
| 9153 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9154 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9155 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9156 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9157 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9158 | } |
| 9159 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9160 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test( |
| 9161 | armnn::IWorkloadFactory& workloadFactory, |
| 9162 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9163 | bool forceNoPadding) |
| 9164 | { |
| 9165 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9166 | workloadFactory, memoryManager, forceNoPadding); |
| 9167 | } |
| 9168 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9169 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 9170 | armnn::IWorkloadFactory& workloadFactory, |
| 9171 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9172 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9173 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9174 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 9175 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9176 | } |
| 9177 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9178 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 9179 | armnn::IWorkloadFactory& workloadFactory, |
| 9180 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9181 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9182 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9183 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9184 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9185 | } |
| 9186 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9187 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test( |
| 9188 | armnn::IWorkloadFactory& workloadFactory, |
| 9189 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9190 | bool forceNoPadding) |
| 9191 | { |
| 9192 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9193 | workloadFactory, memoryManager, forceNoPadding); |
| 9194 | } |
| 9195 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9196 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 9197 | armnn::IWorkloadFactory& workloadFactory, |
| 9198 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9199 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9200 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9201 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9202 | } |
| 9203 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9204 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 9205 | armnn::IWorkloadFactory& workloadFactory, |
| 9206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9207 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 9208 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9209 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 9210 | } |
| 9211 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9212 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test( |
| 9213 | armnn::IWorkloadFactory& workloadFactory, |
| 9214 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9215 | const armnn::DataLayout dataLayout) |
| 9216 | { |
| 9217 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 9218 | } |
| 9219 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 9220 | armnn::IWorkloadFactory& workloadFactory, |
| 9221 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9222 | { |
| 9223 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9224 | } |
| 9225 | |
| 9226 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 9227 | armnn::IWorkloadFactory& workloadFactory, |
| 9228 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9229 | { |
| 9230 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9231 | workloadFactory, memoryManager, 1.0f, -5); |
| 9232 | } |
| 9233 | |
| 9234 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test( |
| 9235 | armnn::IWorkloadFactory& workloadFactory, |
| 9236 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9237 | { |
| 9238 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9239 | workloadFactory, memoryManager); |
| 9240 | } |
| 9241 | |
| 9242 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 9243 | armnn::IWorkloadFactory& workloadFactory, |
| 9244 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9245 | { |
| 9246 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9247 | } |
| 9248 | |
| 9249 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 9250 | armnn::IWorkloadFactory& workloadFactory, |
| 9251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9252 | { |
| 9253 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9254 | workloadFactory, memoryManager, 1.0f, -5); |
| 9255 | } |
| 9256 | |
| 9257 | LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test( |
| 9258 | armnn::IWorkloadFactory& workloadFactory, |
| 9259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9260 | { |
| 9261 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9262 | workloadFactory, memoryManager); |
| 9263 | } |
| 9264 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9265 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 9266 | armnn::IWorkloadFactory& workloadFactory, |
| 9267 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9268 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9269 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9270 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 9271 | } |
| 9272 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9273 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 9274 | armnn::IWorkloadFactory& workloadFactory, |
| 9275 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9276 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 9277 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9278 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9279 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9280 | } |
| 9281 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9282 | LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test( |
| 9283 | armnn::IWorkloadFactory& workloadFactory, |
| 9284 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9285 | const armnn::DataLayout dataLayout) |
| 9286 | { |
| 9287 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9288 | workloadFactory, memoryManager, dataLayout); |
| 9289 | } |
| 9290 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9291 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 9292 | armnn::IWorkloadFactory& workloadFactory, |
| 9293 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9294 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 9295 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9296 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9297 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 9298 | } |
| 9299 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9300 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 9301 | armnn::IWorkloadFactory& workloadFactory, |
| 9302 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9303 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9304 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9305 | } |
| 9306 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9307 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 9308 | armnn::IWorkloadFactory& workloadFactory, |
| 9309 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9310 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9311 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9312 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9313 | } |
| 9314 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9315 | LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test( |
| 9316 | armnn::IWorkloadFactory& workloadFactory, |
| 9317 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9318 | { |
| 9319 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9320 | workloadFactory, memoryManager); |
| 9321 | } |
| 9322 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 9323 | armnn::IWorkloadFactory& workloadFactory, |
| 9324 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9325 | { |
| 9326 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9327 | } |
| 9328 | |
| 9329 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 9330 | armnn::IWorkloadFactory& workloadFactory, |
| 9331 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9332 | { |
| 9333 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9334 | workloadFactory, memoryManager); |
| 9335 | } |
| 9336 | |
| 9337 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test( |
| 9338 | armnn::IWorkloadFactory& workloadFactory, |
| 9339 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9340 | { |
| 9341 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9342 | workloadFactory, memoryManager); |
| 9343 | } |
| 9344 | |
| 9345 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 9346 | armnn::IWorkloadFactory& workloadFactory, |
| 9347 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9348 | { |
| 9349 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 9350 | workloadFactory, memoryManager); |
| 9351 | } |
| 9352 | |
| 9353 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
| 9354 | armnn::IWorkloadFactory& workloadFactory, |
| 9355 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9356 | { |
| 9357 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9358 | workloadFactory, memoryManager); |
| 9359 | } |
| 9360 | |
| 9361 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test( |
| 9362 | armnn::IWorkloadFactory& workloadFactory, |
| 9363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9364 | { |
| 9365 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9366 | workloadFactory, memoryManager); |
| 9367 | } |
| 9368 | |
| 9369 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 9370 | armnn::IWorkloadFactory& workloadFactory, |
| 9371 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9372 | { |
| 9373 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9374 | } |
| 9375 | |
| 9376 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 9377 | armnn::IWorkloadFactory& workloadFactory, |
| 9378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9379 | { |
| 9380 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 9381 | workloadFactory, memoryManager); |
| 9382 | } |
| 9383 | |
| 9384 | LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test( |
| 9385 | armnn::IWorkloadFactory& workloadFactory, |
| 9386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9387 | { |
| 9388 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 9389 | workloadFactory, memoryManager); |
| 9390 | } |
| 9391 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9392 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 9393 | armnn::IWorkloadFactory& workloadFactory, |
| 9394 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9395 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9396 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9397 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9398 | } |
| 9399 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9400 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 9401 | armnn::IWorkloadFactory& workloadFactory, |
| 9402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 9403 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9404 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9405 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9406 | } |
| 9407 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9408 | LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test( |
| 9409 | armnn::IWorkloadFactory& workloadFactory, |
| 9410 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9411 | const armnn::DataLayout dataLayout) |
| 9412 | { |
| 9413 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 9414 | } |
| 9415 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9416 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 9417 | armnn::IWorkloadFactory& workloadFactory, |
| 9418 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9419 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9420 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9421 | } |
| 9422 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9423 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 9424 | armnn::IWorkloadFactory& workloadFactory, |
| 9425 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9426 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9427 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9428 | } |
| 9429 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9430 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test( |
| 9431 | armnn::IWorkloadFactory& workloadFactory, |
| 9432 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9433 | { |
| 9434 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9435 | } |
| 9436 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9437 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 9438 | armnn::IWorkloadFactory& workloadFactory, |
| 9439 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9440 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9441 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9442 | } |
| 9443 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9444 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 9445 | armnn::IWorkloadFactory& workloadFactory, |
| 9446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9447 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9448 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9449 | } |
| 9450 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9451 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test( |
| 9452 | armnn::IWorkloadFactory& workloadFactory, |
| 9453 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9454 | { |
| 9455 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9456 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9457 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 9458 | armnn::IWorkloadFactory& workloadFactory, |
| 9459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9460 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9461 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9462 | } |
| 9463 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9464 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 9465 | armnn::IWorkloadFactory& workloadFactory, |
| 9466 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9467 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9468 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9469 | } |
| 9470 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9471 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test( |
| 9472 | armnn::IWorkloadFactory& workloadFactory, |
| 9473 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9474 | { |
| 9475 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9476 | } |
| 9477 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9478 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 9479 | armnn::IWorkloadFactory& workloadFactory, |
| 9480 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9481 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9482 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9483 | } |
| 9484 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9485 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 9486 | armnn::IWorkloadFactory& workloadFactory, |
| 9487 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9488 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9489 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9490 | } |
| 9491 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9492 | LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test( |
| 9493 | armnn::IWorkloadFactory& workloadFactory, |
| 9494 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9495 | { |
| 9496 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9497 | } |
| 9498 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9499 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 9500 | armnn::IWorkloadFactory& workloadFactory, |
| 9501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9502 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9503 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9504 | } |
| 9505 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9506 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 9507 | armnn::IWorkloadFactory& workloadFactory, |
| 9508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9509 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9510 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9511 | } |
| 9512 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9513 | LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test( |
| 9514 | armnn::IWorkloadFactory& workloadFactory, |
| 9515 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9516 | { |
| 9517 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9518 | } |
| 9519 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 9520 | armnn::IWorkloadFactory& workloadFactory, |
| 9521 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9522 | { |
| 9523 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9524 | } |
| 9525 | |
| 9526 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 9527 | armnn::IWorkloadFactory& workloadFactory, |
| 9528 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9529 | { |
| 9530 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9531 | } |
| 9532 | |
| 9533 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test( |
| 9534 | armnn::IWorkloadFactory& workloadFactory, |
| 9535 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9536 | { |
| 9537 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9538 | } |
| 9539 | |
| 9540 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 9541 | armnn::IWorkloadFactory& workloadFactory, |
| 9542 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9543 | { |
| 9544 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9545 | } |
| 9546 | |
| 9547 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 9548 | armnn::IWorkloadFactory& workloadFactory, |
| 9549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9550 | { |
| 9551 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9552 | } |
| 9553 | |
| 9554 | LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test( |
| 9555 | armnn::IWorkloadFactory& workloadFactory, |
| 9556 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9557 | { |
| 9558 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9559 | } |
| 9560 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9561 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 9562 | armnn::IWorkloadFactory& workloadFactory, |
| 9563 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9564 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9565 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9566 | } |
| 9567 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9568 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 9569 | armnn::IWorkloadFactory& workloadFactory, |
| 9570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9571 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9572 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9573 | } |
| 9574 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9575 | LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test( |
| 9576 | armnn::IWorkloadFactory& workloadFactory, |
| 9577 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9578 | { |
| 9579 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9580 | } |
| 9581 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9582 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 9583 | armnn::IWorkloadFactory& workloadFactory, |
| 9584 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9585 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 9586 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9587 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9588 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9589 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9590 | } |
| 9591 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9592 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 9593 | armnn::IWorkloadFactory& workloadFactory, |
| 9594 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9595 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 9596 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9597 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9598 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9599 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9600 | } |
| 9601 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 9602 | LayerTestResult<int16_t, 4> ComparePooling2dInt16Test( |
| 9603 | armnn::IWorkloadFactory& workloadFactory, |
| 9604 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9605 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 9606 | armnn::PoolingAlgorithm poolingType) |
| 9607 | { |
| 9608 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 9609 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 9610 | } |
| 9611 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9612 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 9613 | armnn::IWorkloadFactory& workloadFactory, |
| 9614 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9615 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9616 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9617 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9618 | } |
| 9619 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9620 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 9621 | armnn::IWorkloadFactory& workloadFactory, |
| 9622 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9623 | { |
| 9624 | // Create Initial Tensor |
| 9625 | // 1, 2, 3 |
| 9626 | // 4, 5, 6 |
| 9627 | // 7, 8, 9 |
| 9628 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9629 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 9630 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9631 | |
| 9632 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 9633 | {1, 2, 3, |
| 9634 | 4, 5, 6, |
| 9635 | 7, 8, 9 |
| 9636 | }); |
| 9637 | |
| 9638 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 9639 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 9640 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 9641 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 9642 | |
| 9643 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 9644 | // Result = |
| 9645 | // 1, 3 |
| 9646 | // 7, 9 |
| 9647 | armnn::Pooling2dDescriptor descriptor; |
| 9648 | descriptor.m_PoolHeight = 1; |
| 9649 | descriptor.m_PoolWidth = 1; |
| 9650 | descriptor.m_StrideX = 2; |
| 9651 | descriptor.m_StrideY = 2; |
| 9652 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 9653 | |
| 9654 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 9655 | queueDescriptor.m_Parameters = descriptor; |
| 9656 | armnn::WorkloadInfo workloadInfo; |
| 9657 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 9658 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9659 | |
| 9660 | // Create the MaxPool |
| 9661 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 9662 | |
| 9663 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 9664 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 9665 | boost::multi_array<float, 4> resultMaxPool; |
| 9666 | resultMaxPool.resize(shape); |
| 9667 | |
| 9668 | |
| 9669 | // Create addition with another tensor the same size |
| 9670 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 9671 | // with the initial tensor. |
| 9672 | // 12, 16 |
| 9673 | // 24, 28 |
| 9674 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9675 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 9676 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9677 | |
| 9678 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 9679 | {12, 16, |
| 9680 | 24, 28, |
| 9681 | }); |
| 9682 | |
| 9683 | // Expected output tensor after MaxPool and Addition. |
| 9684 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 9685 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 9686 | { |
| 9687 | 13, 19, |
| 9688 | 31, 37 |
| 9689 | })); |
| 9690 | |
| 9691 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 9692 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 9693 | |
| 9694 | armnn::AdditionQueueDescriptor data; |
| 9695 | armnn::WorkloadInfo info; |
| 9696 | |
| 9697 | // Add the output of the MaxPool and the new tensor |
| 9698 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9699 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 9700 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 9701 | |
| 9702 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 9703 | |
| 9704 | poolingInputHandle->Allocate(); |
| 9705 | poolingOutputHandle->Allocate(); |
| 9706 | addInputHandle->Allocate(); |
| 9707 | addOutputHandle->Allocate(); |
| 9708 | |
| 9709 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 9710 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 9711 | |
| 9712 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 9713 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 9714 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9715 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9716 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9717 | addWorkload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9718 | addWorkload->Execute(); |
| 9719 | |
| 9720 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 9721 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9722 | return addRet; |
| 9723 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9724 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9725 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 9726 | armnn::IWorkloadFactory& workloadFactory, |
| 9727 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9728 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9729 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9730 | } |
| 9731 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9732 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 9733 | armnn::IWorkloadFactory& workloadFactory, |
| 9734 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9735 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9736 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9737 | } |
| 9738 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9739 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 9740 | armnn::IWorkloadFactory& workloadFactory, |
| 9741 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9742 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9743 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9744 | } |
| 9745 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9746 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 9747 | armnn::IWorkloadFactory& workloadFactory, |
| 9748 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9749 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9750 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9751 | } |
| 9752 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9753 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 9754 | armnn::IWorkloadFactory& workloadFactory, |
| 9755 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9756 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9757 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9758 | } |
| 9759 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9760 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 9761 | armnn::IWorkloadFactory& workloadFactory, |
| 9762 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9763 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9764 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9765 | } |
| 9766 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9767 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 9768 | armnn::IWorkloadFactory& workloadFactory, |
| 9769 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9770 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9771 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9772 | } |
| 9773 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9774 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 9775 | armnn::IWorkloadFactory& workloadFactory, |
| 9776 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9777 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9778 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9779 | } |
| 9780 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9781 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 9782 | armnn::IWorkloadFactory& workloadFactory, |
| 9783 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9784 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9785 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9786 | } |
| 9787 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9788 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 9789 | armnn::IWorkloadFactory& workloadFactory, |
| 9790 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9791 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9792 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9793 | } |
| 9794 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9795 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 9796 | armnn::IWorkloadFactory& workloadFactory, |
| 9797 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9798 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9799 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9800 | } |
| 9801 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9802 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 9803 | armnn::IWorkloadFactory& workloadFactory, |
| 9804 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9805 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9806 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9807 | } |
| 9808 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9809 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 9810 | armnn::IWorkloadFactory& workloadFactory, |
| 9811 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9812 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9813 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9814 | } |
| 9815 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9816 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 9817 | armnn::IWorkloadFactory& workloadFactory, |
| 9818 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9819 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9820 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9821 | } |
| 9822 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9823 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 9824 | armnn::IWorkloadFactory& workloadFactory, |
| 9825 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9826 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9827 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9828 | } |
| 9829 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9830 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 9831 | armnn::IWorkloadFactory& workloadFactory, |
| 9832 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9833 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9834 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9835 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9836 | |
nikraj01 | 120522a | 2019-05-31 11:33:07 +0100 | [diff] [blame] | 9837 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test( |
| 9838 | armnn::IWorkloadFactory& workloadFactory, |
| 9839 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9840 | { |
| 9841 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9842 | } |
| 9843 | |
| 9844 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test( |
| 9845 | armnn::IWorkloadFactory& workloadFactory, |
| 9846 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9847 | { |
| 9848 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9849 | } |
| 9850 | |
| 9851 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test( |
| 9852 | armnn::IWorkloadFactory& workloadFactory, |
| 9853 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9854 | { |
| 9855 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9856 | } |
| 9857 | |
| 9858 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test( |
| 9859 | armnn::IWorkloadFactory& workloadFactory, |
| 9860 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9861 | { |
| 9862 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9863 | } |
| 9864 | |
| 9865 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNHWCUint16Test( |
| 9866 | armnn::IWorkloadFactory& workloadFactory, |
| 9867 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9868 | { |
| 9869 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9870 | } |
| 9871 | |
| 9872 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNHWCUint16Test( |
| 9873 | armnn::IWorkloadFactory& workloadFactory, |
| 9874 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9875 | { |
| 9876 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9877 | } |
| 9878 | |
| 9879 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNHWCUint16Test( |
| 9880 | armnn::IWorkloadFactory& workloadFactory, |
| 9881 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9882 | { |
| 9883 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9884 | } |
| 9885 | |
| 9886 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNHWCUint16Test( |
| 9887 | armnn::IWorkloadFactory& workloadFactory, |
| 9888 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9889 | { |
| 9890 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9891 | } |
| 9892 | |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9893 | LayerTestResult<uint8_t, 4> SpaceToDepthNHWCAsymmQ8Test( |
| 9894 | armnn::IWorkloadFactory& workloadFactory, |
| 9895 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9896 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9897 | return SpaceToDepthSimpleTest1<armnn::DataType::QuantisedAsymm8>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9898 | workloadFactory, |
| 9899 | memoryManager); |
| 9900 | } |
| 9901 | |
| 9902 | LayerTestResult<uint8_t, 4> SpaceToDepthNCHWAsymmQ8Test( |
| 9903 | armnn::IWorkloadFactory& workloadFactory, |
| 9904 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9905 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9906 | return SpaceToDepthSimpleTest1<armnn::DataType::QuantisedAsymm8>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9907 | workloadFactory, |
| 9908 | memoryManager, |
| 9909 | armnn::DataLayout::NCHW); |
| 9910 | } |
| 9911 | |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9912 | LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test1( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9913 | armnn::IWorkloadFactory& workloadFactory, |
| 9914 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9915 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9916 | return SpaceToDepthSimpleTest1<armnn::DataType::Float32>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9917 | workloadFactory, |
| 9918 | memoryManager); |
| 9919 | } |
| 9920 | |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9921 | LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test1( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9922 | armnn::IWorkloadFactory& workloadFactory, |
| 9923 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9924 | { |
James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 9925 | return SpaceToDepthSimpleTest1<armnn::DataType::Float32>( |
| 9926 | workloadFactory, |
| 9927 | memoryManager, |
| 9928 | armnn::DataLayout::NCHW); |
| 9929 | } |
| 9930 | |
| 9931 | LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test2( |
| 9932 | armnn::IWorkloadFactory& workloadFactory, |
| 9933 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9934 | { |
| 9935 | return SpaceToDepthSimpleTest2<armnn::DataType::Float32>( |
| 9936 | workloadFactory, |
| 9937 | memoryManager); |
| 9938 | } |
| 9939 | |
| 9940 | LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test2( |
| 9941 | armnn::IWorkloadFactory& workloadFactory, |
| 9942 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9943 | { |
| 9944 | return SpaceToDepthSimpleTest2<armnn::DataType::Float32>( |
| 9945 | workloadFactory, |
| 9946 | memoryManager, |
| 9947 | armnn::DataLayout::NCHW); |
| 9948 | } |
| 9949 | |
| 9950 | LayerTestResult<int16_t, 4> SpaceToDepthNHWCQSymm16Test( |
| 9951 | armnn::IWorkloadFactory& workloadFactory, |
| 9952 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9953 | { |
| 9954 | return SpaceToDepthSimpleTest2<armnn::DataType::QuantisedSymm16>( |
| 9955 | workloadFactory, |
| 9956 | memoryManager); |
| 9957 | } |
| 9958 | |
| 9959 | LayerTestResult<int16_t, 4> SpaceToDepthNCHWQSymm16Test( |
| 9960 | armnn::IWorkloadFactory& workloadFactory, |
| 9961 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9962 | { |
| 9963 | return SpaceToDepthSimpleTest2<armnn::DataType::QuantisedSymm16>( |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9964 | workloadFactory, |
| 9965 | memoryManager, |
| 9966 | armnn::DataLayout::NCHW); |
| 9967 | } |
| 9968 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9969 | namespace { |
| 9970 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9971 | } // anonymous namespace |
| 9972 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9973 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9974 | armnn::IWorkloadFactory& workloadFactory, |
| 9975 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9976 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9977 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9978 | } |
| 9979 | |
| 9980 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9981 | armnn::IWorkloadFactory& workloadFactory, |
| 9982 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9983 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9984 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9985 | } |
| 9986 | |
| 9987 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9988 | armnn::IWorkloadFactory& workloadFactory, |
| 9989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9990 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9991 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9992 | } |
| 9993 | |
| 9994 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9995 | armnn::IWorkloadFactory& workloadFactory, |
| 9996 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9997 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9998 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9999 | } |
| 10000 | |
| 10001 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 10002 | armnn::IWorkloadFactory& workloadFactory, |
| 10003 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10004 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10005 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10006 | } |
| 10007 | |
| 10008 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 10009 | armnn::IWorkloadFactory& workloadFactory, |
| 10010 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10011 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10012 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10013 | } |
| 10014 | |
| 10015 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 10016 | armnn::IWorkloadFactory& workloadFactory, |
| 10017 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10018 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10019 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10020 | } |
| 10021 | |
| 10022 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 10023 | armnn::IWorkloadFactory& workloadFactory, |
| 10024 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10025 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10026 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10027 | } |
| 10028 | |
| 10029 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 10030 | armnn::IWorkloadFactory& workloadFactory, |
| 10031 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10032 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10033 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10034 | } |
| 10035 | |
| 10036 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 10037 | armnn::IWorkloadFactory& workloadFactory, |
| 10038 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10039 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10040 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10041 | } |
| 10042 | |
| 10043 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 10044 | armnn::IWorkloadFactory& workloadFactory, |
| 10045 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10046 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10047 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10048 | } |
| 10049 | |
| 10050 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 10051 | armnn::IWorkloadFactory& workloadFactory, |
| 10052 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10053 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10054 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10055 | } |
| 10056 | |
| 10057 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 10058 | armnn::IWorkloadFactory& workloadFactory, |
| 10059 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10060 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10061 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10062 | } |
| 10063 | |
| 10064 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 10065 | armnn::IWorkloadFactory& workloadFactory, |
| 10066 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10067 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10068 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10069 | } |
| 10070 | |
| 10071 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 10072 | armnn::IWorkloadFactory& workloadFactory, |
| 10073 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10074 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10075 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10076 | } |
| 10077 | |
| 10078 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 10079 | armnn::IWorkloadFactory& workloadFactory, |
| 10080 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10081 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10082 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10083 | } |
| 10084 | |
| 10085 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 10086 | armnn::IWorkloadFactory& workloadFactory, |
| 10087 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10088 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10089 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10090 | } |
| 10091 | |
| 10092 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 10093 | armnn::IWorkloadFactory& workloadFactory, |
| 10094 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10095 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10096 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 10097 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10098 | |
Matteo Martincigh | 42666a1 | 2019-05-29 08:53:41 +0100 | [diff] [blame] | 10099 | LayerTestResult<int16_t, 4> StridedSlice4DInt16Test( |
| 10100 | armnn::IWorkloadFactory& workloadFactory, |
| 10101 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10102 | { |
| 10103 | return StridedSlice4DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10104 | } |
| 10105 | |
| 10106 | LayerTestResult<int16_t, 4> StridedSlice4DReverseInt16Test( |
| 10107 | armnn::IWorkloadFactory& workloadFactory, |
| 10108 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10109 | { |
| 10110 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10111 | } |
| 10112 | |
| 10113 | LayerTestResult<int16_t, 4> StridedSliceSimpleStrideInt16Test( |
| 10114 | armnn::IWorkloadFactory& workloadFactory, |
| 10115 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10116 | { |
| 10117 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10118 | } |
| 10119 | |
| 10120 | LayerTestResult<int16_t, 4> StridedSliceSimpleRangeMaskInt16Test( |
| 10121 | armnn::IWorkloadFactory& workloadFactory, |
| 10122 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10123 | { |
| 10124 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10125 | } |
| 10126 | |
| 10127 | LayerTestResult<int16_t, 2> StridedSliceShrinkAxisMaskInt16Test( |
| 10128 | armnn::IWorkloadFactory& workloadFactory, |
| 10129 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10130 | { |
| 10131 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10132 | } |
| 10133 | |
| 10134 | LayerTestResult<int16_t, 3> StridedSlice3DInt16Test( |
| 10135 | armnn::IWorkloadFactory& workloadFactory, |
| 10136 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10137 | { |
| 10138 | return StridedSlice3DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10139 | } |
| 10140 | |
| 10141 | LayerTestResult<int16_t, 3> StridedSlice3DReverseInt16Test( |
| 10142 | armnn::IWorkloadFactory& workloadFactory, |
| 10143 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10144 | { |
| 10145 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10146 | } |
| 10147 | |
| 10148 | LayerTestResult<int16_t, 2> StridedSlice2DInt16Test( |
| 10149 | armnn::IWorkloadFactory& workloadFactory, |
| 10150 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10151 | { |
| 10152 | return StridedSlice2DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10153 | } |
| 10154 | |
| 10155 | LayerTestResult<int16_t, 2> StridedSlice2DReverseInt16Test( |
| 10156 | armnn::IWorkloadFactory& workloadFactory, |
| 10157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10158 | { |
| 10159 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10160 | } |
| 10161 | |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10162 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 10163 | armnn::IWorkloadFactory& workloadFactory, |
| 10164 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10165 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10166 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10167 | } |
| 10168 | |
| 10169 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 10170 | armnn::IWorkloadFactory& workloadFactory, |
| 10171 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10172 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10173 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10174 | } |
| 10175 | |
| 10176 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 10177 | armnn::IWorkloadFactory& workloadFactory, |
| 10178 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10179 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10180 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10181 | } |
| 10182 | |
| 10183 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 10184 | armnn::IWorkloadFactory& workloadFactory, |
| 10185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10186 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10187 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10188 | } |
| 10189 | |
| 10190 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 10191 | armnn::IWorkloadFactory& workloadFactory, |
| 10192 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10193 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10194 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10195 | } |
| 10196 | |
| 10197 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 10198 | armnn::IWorkloadFactory& workloadFactory, |
| 10199 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10200 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10201 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10202 | } |
| 10203 | |
| 10204 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 10205 | armnn::IWorkloadFactory& workloadFactory, |
| 10206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10207 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10208 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10209 | } |
| 10210 | |
| 10211 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 10212 | armnn::IWorkloadFactory& workloadFactory, |
| 10213 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10214 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 10215 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 10216 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 10217 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 10218 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 10219 | armnn::IWorkloadFactory& workloadFactory, |
| 10220 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10221 | { |
| 10222 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 10223 | } |
| 10224 | |
| 10225 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 10226 | armnn::IWorkloadFactory& workloadFactory, |
| 10227 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10228 | { |
| 10229 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10230 | } |
| 10231 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 10232 | LayerTestResult<int16_t, 1> Gather1DParamsInt16Test( |
| 10233 | armnn::IWorkloadFactory& workloadFactory, |
| 10234 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10235 | { |
| 10236 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10237 | } |
| 10238 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 10239 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 10240 | armnn::IWorkloadFactory& workloadFactory, |
| 10241 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10242 | { |
| 10243 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 10244 | } |
| 10245 | |
| 10246 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 10247 | armnn::IWorkloadFactory& workloadFactory, |
| 10248 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10249 | { |
| 10250 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10251 | } |
| 10252 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 10253 | LayerTestResult<int16_t, 2> GatherMultiDimParamsInt16Test( |
| 10254 | armnn::IWorkloadFactory& workloadFactory, |
| 10255 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10256 | { |
| 10257 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10258 | } |
| 10259 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 10260 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 10261 | armnn::IWorkloadFactory& workloadFactory, |
| 10262 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10263 | { |
| 10264 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 10265 | } |
| 10266 | |
| 10267 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 10268 | armnn::IWorkloadFactory& workloadFactory, |
| 10269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10270 | { |
| 10271 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 10272 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 10273 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 10274 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 10275 | LayerTestResult<int16_t, 4> GatherMultiDimParamsMultiDimIndicesInt16Test( |
| 10276 | armnn::IWorkloadFactory& workloadFactory, |
| 10277 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10278 | { |
| 10279 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedSymm16>( |
| 10280 | workloadFactory, memoryManager); |
| 10281 | } |
| 10282 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 10283 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 10284 | armnn::IWorkloadFactory& workloadFactory, |
| 10285 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10286 | { |
| 10287 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10288 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 10289 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 10290 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 10291 | armnn::IWorkloadFactory& workloadFactory, |
| 10292 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10293 | { |
| 10294 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10295 | } |
| 10296 | |
| 10297 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 10298 | armnn::IWorkloadFactory& workloadFactory, |
| 10299 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10300 | { |
| 10301 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10302 | } |
| 10303 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 10304 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 10305 | armnn::IWorkloadFactory& workloadFactory, |
| 10306 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10307 | { |
| 10308 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10309 | } |
| 10310 | |
| 10311 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 10312 | armnn::IWorkloadFactory& workloadFactory, |
| 10313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10314 | { |
| 10315 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10316 | } |
| 10317 | |
| 10318 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 10319 | armnn::IWorkloadFactory& workloadFactory, |
| 10320 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10321 | { |
| 10322 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10323 | } |