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" |
| 41 | #include "PermuteTestImpl.hpp" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 42 | #include "LstmTestImpl.hpp" |
| 43 | #include "ConvertFp16ToFp32TestImpl.hpp" |
| 44 | #include "ConvertFp32ToFp16TestImpl.hpp" |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 45 | #include "DebugTestImpl.hpp" |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 46 | #include "DequantizeTestImpl.hpp" |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 47 | #include "QuantizeTestImpl.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 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | // 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] | 81 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 82 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 83 | { |
| 84 | if(biasEnabled) |
| 85 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 86 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 87 | 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] | 88 | return bias; |
| 89 | } |
| 90 | else |
| 91 | { |
| 92 | return boost::multi_array<T, 1>(); |
| 93 | } |
| 94 | } |
| 95 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 96 | 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] | 97 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 98 | armnn::IWorkloadFactory& workloadFactory, |
| 99 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 100 | float qScale, |
| 101 | int32_t qOffset, |
| 102 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 103 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 104 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 105 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 106 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 107 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 108 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 109 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 110 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 111 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 112 | QuantizedVector<T>(qScale, qOffset, { |
| 113 | 1, 1, 1, |
| 114 | 1, -1, 1, |
| 115 | 1, 1, 1, |
| 116 | 1, 1, 1, |
| 117 | 1, 1, 1, |
| 118 | |
| 119 | 0, 0, 0, |
| 120 | 0, 0, 0, |
| 121 | 0, 0, 0, |
| 122 | 0, 0, 0, |
| 123 | 0, 0, 0, |
| 124 | |
| 125 | 2, 2, 2, |
| 126 | 2, 2, 2, |
| 127 | 2, 2, 2, |
| 128 | 2, 2, 2, |
| 129 | 2, 2, 2, |
| 130 | |
| 131 | |
| 132 | 0, 0, 0, |
| 133 | 0, 0, 0, |
| 134 | 0, 0, 0, |
| 135 | 0, 0, 0, |
| 136 | 0, 0, 0, |
| 137 | |
| 138 | 1, 1, 1, |
| 139 | 1, 1, 1, |
| 140 | 1, 1, 1, |
| 141 | 1, 1, 1, |
| 142 | 1, 1, 1, |
| 143 | |
| 144 | 0, 0, 0, |
| 145 | 0, 0, 0, |
| 146 | 0, 0, 0, |
| 147 | 0, 0, 0, |
| 148 | 0, 0, 0 |
| 149 | }))); |
| 150 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 152 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 154 | QuantizedVector<T>(qScale, qOffset, { |
| 155 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 156 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 157 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 158 | -23.5f, -23.5f, -23.5f, |
| 159 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 160 | -23.5f, -23.5f, -23.5f, |
| 161 | |
| 162 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 163 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 164 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 165 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 166 | }))); |
| 167 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 168 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 169 | workloadFactory, |
| 170 | memoryManager, |
| 171 | input, |
| 172 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 173 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 174 | expectedOutput, |
| 175 | qScale, |
| 176 | qOffset, |
| 177 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 178 | } |
| 179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 180 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 181 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 182 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 183 | armnn::IWorkloadFactory& workloadFactory, |
| 184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 185 | float qScale, |
| 186 | int32_t qOffset, |
| 187 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 188 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 189 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 190 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 193 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 194 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 195 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 196 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 197 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 198 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 199 | QuantizedVector<T>(qScale, qOffset, { |
| 200 | 1, 1, 1, |
| 201 | 1, -1, 1, |
| 202 | 1, 1, 1, |
| 203 | |
| 204 | 0, 0, 0, |
| 205 | 0, 0, 0, |
| 206 | 0, 0, 0, |
| 207 | |
| 208 | 2, 2, 2, |
| 209 | 2, 2, 2, |
| 210 | 2, 2, 2, |
| 211 | |
| 212 | |
| 213 | 0, 0, 0, |
| 214 | 0, 0, 0, |
| 215 | 0, 0, 0, |
| 216 | |
| 217 | 1, 1, 1, |
| 218 | 1, 1, 1, |
| 219 | 1, 1, 1, |
| 220 | |
| 221 | 0, 0, 0, |
| 222 | 0, 0, 0, |
| 223 | 0, 0, 0 |
| 224 | }))); |
| 225 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 226 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 227 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 229 | QuantizedVector<T>(qScale, qOffset, { |
| 230 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 231 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 232 | -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, |
| 233 | -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, |
| 234 | -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, |
| 235 | -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, |
| 236 | |
| 237 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 238 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 239 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 240 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 241 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 242 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 243 | }))); |
| 244 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 245 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 246 | workloadFactory, |
| 247 | memoryManager, |
| 248 | input, |
| 249 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 250 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 251 | expectedOutput, |
| 252 | qScale, |
| 253 | qOffset, |
| 254 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 255 | } |
| 256 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 257 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 258 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 259 | armnn::IWorkloadFactory& workloadFactory, |
| 260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 261 | float qScale, |
| 262 | int32_t qOffset, |
| 263 | bool biasEnabled, |
| 264 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 265 | { |
| 266 | // Use common single-batch 5x5 image. |
| 267 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 268 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 269 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 270 | { |
| 271 | 1, 5, 2, 3, |
| 272 | 8, 7, 3, 6, |
| 273 | 3, 3, 9, 1 |
| 274 | }); |
| 275 | |
| 276 | |
| 277 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 278 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 279 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 280 | 4, 5, 6, |
| 281 | 0, 0, 0, |
| 282 | 3, 2, 1 |
| 283 | }); |
| 284 | |
| 285 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 286 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 287 | |
| 288 | const std::vector<float> outputData = |
| 289 | { |
| 290 | 23, 41, 33, 21, |
| 291 | 44, 65, 76, 52, |
| 292 | 82, 85, 79, 42 |
| 293 | }; |
| 294 | |
| 295 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 296 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 297 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 298 | workloadFactory, |
| 299 | memoryManager, |
| 300 | input, |
| 301 | kernel, |
| 302 | boost::multi_array<T, 1>(), |
| 303 | expectedOutput, |
| 304 | dataLayout, |
| 305 | qScale, |
| 306 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 307 | } |
| 308 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 309 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 310 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 311 | armnn::IWorkloadFactory& workloadFactory, |
| 312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 313 | float qScale, |
| 314 | int32_t qOffset, |
| 315 | bool biasEnabled, |
| 316 | const armnn::DataLayout& dataLayout) |
| 317 | { |
| 318 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 319 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 320 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 321 | { |
| 322 | 1, 5, 2, 3, 5, |
| 323 | 8, 7, 3, 6, 3, |
| 324 | 3, 3, 9, 1, 9, |
| 325 | 4, 1, 8, 1, 3, |
| 326 | 6, 8, 1, 9, 2 |
| 327 | }); |
| 328 | |
| 329 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 330 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 331 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 332 | { |
| 333 | 4, 5, 6, |
| 334 | 0, 0, 0, |
| 335 | 3, 2, 1 |
| 336 | }); |
| 337 | |
| 338 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 339 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 340 | |
| 341 | const std::vector<T> outputData = |
| 342 | { |
| 343 | 23, 33, 24, |
| 344 | 91, 99, 48, |
| 345 | 26, 50, 19 |
| 346 | }; |
| 347 | |
| 348 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 349 | |
| 350 | uint32_t padLeft = 1; |
| 351 | uint32_t padTop = 1; |
| 352 | uint32_t padRight = 1; |
| 353 | uint32_t padBottom = 1; |
| 354 | uint32_t strideX = 2; |
| 355 | uint32_t strideY = 2; |
| 356 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 357 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 358 | workloadFactory, |
| 359 | memoryManager, |
| 360 | input, |
| 361 | kernel, |
| 362 | boost::multi_array<T, 1>(), |
| 363 | expectedOutput, |
| 364 | dataLayout, |
| 365 | qScale, |
| 366 | qOffset, |
| 367 | padLeft, |
| 368 | padTop, |
| 369 | padRight, |
| 370 | padBottom, |
| 371 | strideX, |
| 372 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 373 | } |
| 374 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 375 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 376 | armnn::IWorkloadFactory& workloadFactory, |
| 377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 378 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 379 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 381 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 382 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 383 | } |
| 384 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 385 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 386 | armnn::IWorkloadFactory& workloadFactory, |
| 387 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 388 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 389 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 390 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 391 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 392 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | } |
| 394 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 395 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 396 | armnn::IWorkloadFactory& workloadFactory, |
| 397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 398 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 399 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 401 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 402 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 403 | } |
| 404 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 406 | armnn::IWorkloadFactory& workloadFactory, |
| 407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 408 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 410 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 411 | workloadFactory, |
| 412 | memoryManager, |
| 413 | 0.f, |
| 414 | 0, |
| 415 | biasEnabled, |
| 416 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 417 | } |
| 418 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 419 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 420 | armnn::IWorkloadFactory& workloadFactory, |
| 421 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 422 | bool biasEnabled, |
| 423 | const armnn::DataLayout layout) |
| 424 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 425 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 426 | workloadFactory, |
| 427 | memoryManager, |
| 428 | 0.f, |
| 429 | 0, |
| 430 | biasEnabled, |
| 431 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 432 | } |
| 433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 434 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 435 | armnn::IWorkloadFactory& workloadFactory, |
| 436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 437 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 438 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 440 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 441 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 442 | } |
| 443 | |
Mike Kelly | 2f80f6e | 2019-05-16 12:41:34 +0100 | [diff] [blame] | 444 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test( |
| 445 | armnn::IWorkloadFactory& workloadFactory, |
| 446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 447 | bool biasEnabled, |
| 448 | const armnn::DataLayout layout) |
| 449 | { |
| 450 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 451 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 452 | } |
| 453 | |
| 454 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test( |
| 455 | armnn::IWorkloadFactory& workloadFactory, |
| 456 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 457 | bool biasEnabled, |
| 458 | const armnn::DataLayout layout) |
| 459 | { |
| 460 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 461 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 462 | } |
| 463 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 464 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 465 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 466 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 467 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 469 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 470 | float qScale, |
| 471 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 472 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 473 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 474 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 475 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 476 | QuantizedVector<T>(qScale, qOffset, { |
| 477 | 11,21,31, |
| 478 | 12,22,32, |
| 479 | 13,23,33 |
| 480 | }))); |
| 481 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 482 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 483 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 484 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 485 | QuantizedVector<T>(qScale, qOffset, { |
| 486 | -11,-21, |
| 487 | -12,-22, |
| 488 | }))); |
| 489 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 490 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 491 | // Manually calculated like this: |
| 492 | //[-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 ..] |
| 493 | //[-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 ..] |
| 494 | //[-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 ..] |
| 495 | //[-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 ..] |
| 496 | //[-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 ..] |
| 497 | //[-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 ..] |
| 498 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 499 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 501 | QuantizedVector<T>(qScale, qOffset, { |
| 502 | 0, 0, 0, 0, 0, 0, |
| 503 | -242, -594, -934, -372, 0, 0, |
| 504 | -495, -1190, -1850, -725, 0, 0, |
| 505 | -538, -1256, -1916, -748, 0, 0, |
| 506 | -273, -626, -946, -363, 0, 0, |
| 507 | 0, 0, 0, 0, 0, 0, |
| 508 | 0, 0, 0, 0, 0, 0, |
| 509 | 0, 0, 0, 0, 0, 0 |
| 510 | }))); |
| 511 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 512 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 513 | workloadFactory, |
| 514 | memoryManager, |
| 515 | input, |
| 516 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 517 | GetBias2<ArmnnBType>(false, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 518 | expectedOutput, |
| 519 | qScale, |
| 520 | qOffset, |
| 521 | layout, |
| 522 | 1, // Padding left. |
| 523 | 2, // Padding top. |
| 524 | 3, // Padding right. |
| 525 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 526 | } |
| 527 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 528 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 529 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 530 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 531 | armnn::IWorkloadFactory& workloadFactory, |
| 532 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 533 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 534 | float qScale, |
| 535 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 536 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 537 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 538 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 539 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 540 | QuantizedVector<T>(qScale, qOffset, { |
| 541 | 11,21,31,41,51, |
| 542 | 12,22,32,42,52, |
| 543 | 13,23,33,43,53, |
| 544 | 14,24,34,44,54, |
| 545 | 15,25,35,45,55, |
| 546 | }))); |
| 547 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 548 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 549 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 550 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 551 | QuantizedVector<T>(qScale, qOffset, { |
| 552 | -11,-21,-31,-41, |
| 553 | -12,-22,-32,-42, |
| 554 | -13,-23,-33,-43, |
| 555 | -14,-24,-34,-44, |
| 556 | }))); |
| 557 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 558 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 559 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 560 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 561 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 562 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | -7140, -10580, -13940, -9300, -5230, |
| 564 | -9590, -14120, -18520, -12290, -6860, |
| 565 | -9980, -14560, -18960, -12560, -7000, |
| 566 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 567 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 568 | }))); |
| 569 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 570 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 571 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 572 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 573 | input, |
| 574 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 575 | GetBias2<ArmnnBType>(false, qScale * qScale), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 576 | expectedOutput, |
| 577 | qScale, |
| 578 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 579 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 580 | 1, // Padding left. |
| 581 | 1, // Padding top. |
| 582 | 2, // Padding right. |
| 583 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 584 | } |
| 585 | |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 586 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 587 | armnn::IWorkloadFactory& workloadFactory, |
| 588 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 589 | armnn::DataLayout layout) |
| 590 | { |
| 591 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 592 | workloadFactory, memoryManager, layout, 0.0f, 0); |
| 593 | } |
| 594 | |
| 595 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 596 | armnn::IWorkloadFactory& workloadFactory, |
| 597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 598 | armnn::DataLayout layout) |
| 599 | { |
| 600 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 601 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 602 | workloadFactory, memoryManager, layout, 0.0f, 0); |
| 603 | } |
| 604 | |
| 605 | LayerTestResult<float, 4> Convolution1dTest( |
| 606 | armnn::IWorkloadFactory& workloadFactory, |
| 607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 608 | bool biasEnabled) |
| 609 | { |
| 610 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 611 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
| 612 | } |
| 613 | |
| 614 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 615 | armnn::IWorkloadFactory& workloadFactory, |
| 616 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 617 | bool biasEnabled) |
| 618 | { |
| 619 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 620 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
| 621 | } |
| 622 | |
| 623 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 624 | armnn::IWorkloadFactory& workloadFactory, |
| 625 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 626 | armnn::IWorkloadFactory& refWorkloadFactory) |
| 627 | { |
| 628 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 629 | workloadFactory, memoryManager, refWorkloadFactory); |
| 630 | } |
| 631 | |
| 632 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
| 633 | LayerTestResult<T, 4> Convolution2d3x3DilationTestCommon( |
| 634 | armnn::IWorkloadFactory& workloadFactory, |
| 635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 636 | const std::vector<float>& inputNoQuantizedValues, |
| 637 | armnn::TensorInfo& inputTensorInfo, |
| 638 | const std::vector<float>& kernelNoQuantizedValues, |
| 639 | armnn::TensorInfo& kernelTensorInfo, |
| 640 | const std::vector<float>& outputExpectedNoQuantizedValues, |
| 641 | armnn::TensorInfo& outputTensorInfo, |
| 642 | uint32_t dilationX, |
| 643 | uint32_t dilationY, |
| 644 | armnn::DataLayout layout = armnn::DataLayout::NCHW, |
| 645 | bool biasEnabled = false |
| 646 | ) |
| 647 | { |
| 648 | float qScale; |
| 649 | int32_t qOffset; |
| 650 | switch (ArmnnType) |
| 651 | { |
| 652 | case armnn::DataType::QuantisedAsymm8: |
| 653 | { |
| 654 | qScale = 0.1f; |
| 655 | qOffset = 128; |
| 656 | break; |
| 657 | } |
| 658 | case armnn::DataType::QuantisedSymm16: |
| 659 | { |
| 660 | qScale = 0.1f; |
| 661 | qOffset = 0; |
| 662 | break; |
| 663 | } |
| 664 | case armnn::DataType::Float32: |
| 665 | default: |
| 666 | { |
| 667 | qScale = 0.f; |
| 668 | qOffset = 0; |
| 669 | break; |
| 670 | } |
| 671 | } |
| 672 | |
| 673 | inputTensorInfo.SetQuantizationScale(qScale); |
| 674 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 675 | kernelTensorInfo.SetQuantizationScale(qScale); |
| 676 | kernelTensorInfo.SetQuantizationOffset(qOffset); |
| 677 | outputTensorInfo.SetQuantizationScale(qScale); |
| 678 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 679 | |
| 680 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
| 681 | std::vector<T>(QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), |
| 682 | inputTensorInfo.GetQuantizationOffset(), |
| 683 | inputNoQuantizedValues))); |
| 684 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, |
| 685 | std::vector<T>(QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), |
| 686 | kernelTensorInfo.GetQuantizationOffset(), |
| 687 | kernelNoQuantizedValues))); |
| 688 | auto expectedOutput = MakeTensor<T, 4>(outputTensorInfo, |
| 689 | std::vector<T>(QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), |
| 690 | outputTensorInfo.GetQuantizationOffset(), |
| 691 | outputExpectedNoQuantizedValues))); |
| 692 | |
| 693 | uint32_t padLeft = 0; |
| 694 | uint32_t padTop = 0; |
| 695 | uint32_t padRight = 0; |
| 696 | uint32_t padBottom = 0; |
| 697 | uint32_t strideX = 1; |
| 698 | uint32_t strideY = 1; |
| 699 | |
| 700 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 701 | workloadFactory, |
| 702 | memoryManager, |
| 703 | input, |
| 704 | kernel, |
| 705 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
| 706 | expectedOutput, |
| 707 | qScale, |
| 708 | qOffset, |
| 709 | layout, |
| 710 | padLeft, |
| 711 | padTop, |
| 712 | padRight, |
| 713 | padBottom, |
| 714 | strideX, |
| 715 | strideY, |
| 716 | dilationX, |
| 717 | dilationY); |
| 718 | } |
| 719 | |
| 720 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 721 | LayerTestResult<T, 4> Convolution2d3x3Dilation3x3Test( |
| 722 | armnn::IWorkloadFactory& workloadFactory, |
| 723 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 724 | bool biasEnabled, |
| 725 | const armnn::DataLayout layout) |
| 726 | { |
| 727 | armnn::TensorInfo inputTensorInfo({1, 1, 10, 10}, ArmnnType); |
| 728 | std::vector<float> inputNoQuantizedValues = |
| 729 | { |
| 730 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 731 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 732 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 733 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 734 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 735 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 736 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 737 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 738 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 739 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 740 | }; |
| 741 | |
| 742 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 743 | std::vector<float> kernelNoQuantizedValues = |
| 744 | { |
| 745 | 1, 2, 3, |
| 746 | 4, 5, 6, |
| 747 | 7, 8, 9 |
| 748 | }; |
| 749 | |
| 750 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 751 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 752 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 753 | std::vector<float> outputExpectedNoQuantizedValues = |
| 754 | { |
| 755 | 6., 5., 5., 5., |
| 756 | 6., 5., 5., 5., |
| 757 | 6., 5., 5., 5., |
| 758 | 3., 2., 2., 2. |
| 759 | }; |
| 760 | |
| 761 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 762 | workloadFactory, |
| 763 | memoryManager, |
| 764 | inputNoQuantizedValues, |
| 765 | inputTensorInfo, |
| 766 | kernelNoQuantizedValues, |
| 767 | kernelTensorInfo, |
| 768 | outputExpectedNoQuantizedValues, |
| 769 | outputTensorInfo, |
| 770 | 3, |
| 771 | 3, |
| 772 | layout, |
| 773 | biasEnabled); |
| 774 | } |
| 775 | |
| 776 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 777 | LayerTestResult<T, 4> Convolution2d2x3x3Dilation3x3Test( |
| 778 | armnn::IWorkloadFactory& workloadFactory, |
| 779 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 780 | bool biasEnabled, |
| 781 | const armnn::DataLayout layout) |
| 782 | { |
| 783 | armnn::TensorInfo inputTensorInfo({1, 2, 10, 10}, ArmnnType); |
| 784 | std::vector<float> inputNoQuantizedValues = |
| 785 | { |
| 786 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 787 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 788 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 789 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 790 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 791 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 792 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 793 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 794 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 795 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 796 | |
| 797 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 798 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 799 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 800 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 801 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 802 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 803 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 804 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 805 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 806 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 807 | }; |
| 808 | |
| 809 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 3, 3}, ArmnnType); |
| 810 | std::vector<float> kernelNoQuantizedValues = |
| 811 | { |
| 812 | 1, 2, 3, |
| 813 | 4, 5, 6, |
| 814 | 7, 8, 9, |
| 815 | |
| 816 | 1, 2, 3, |
| 817 | 4, 5, 6, |
| 818 | 7, 8, 9 |
| 819 | }; |
| 820 | |
| 821 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 822 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 823 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 824 | std::vector<float> outputExpectedNoQuantizedValues = |
| 825 | { |
| 826 | 12., 10., 10., 10., |
| 827 | 12., 10., 10., 10., |
| 828 | 12., 10., 10., 10., |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 829 | 6., 4., 4., 4. |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame] | 830 | }; |
| 831 | |
| 832 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 833 | workloadFactory, |
| 834 | memoryManager, |
| 835 | inputNoQuantizedValues, |
| 836 | inputTensorInfo, |
| 837 | kernelNoQuantizedValues, |
| 838 | kernelTensorInfo, |
| 839 | outputExpectedNoQuantizedValues, |
| 840 | outputTensorInfo, |
| 841 | 3, |
| 842 | 3, |
| 843 | layout, |
| 844 | biasEnabled); |
| 845 | } |
| 846 | |
| 847 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 848 | Convolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 849 | armnn::IWorkloadFactory&, |
| 850 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 851 | bool, |
| 852 | armnn::DataLayout); |
| 853 | |
| 854 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 855 | Convolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 856 | armnn::IWorkloadFactory&, |
| 857 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 858 | bool, |
| 859 | armnn::DataLayout); |
| 860 | |
| 861 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 862 | Convolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 863 | armnn::IWorkloadFactory&, |
| 864 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 865 | bool, |
| 866 | armnn::DataLayout); |
| 867 | |
| 868 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 869 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 870 | armnn::IWorkloadFactory&, |
| 871 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 872 | bool, |
| 873 | armnn::DataLayout); |
| 874 | |
| 875 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 876 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 877 | armnn::IWorkloadFactory&, |
| 878 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 879 | bool, |
| 880 | armnn::DataLayout); |
| 881 | |
| 882 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 883 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 884 | armnn::IWorkloadFactory&, |
| 885 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 886 | bool, |
| 887 | armnn::DataLayout); |
| 888 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 889 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 890 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 891 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 892 | armnn::IWorkloadFactory& workloadFactory, |
| 893 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 894 | float qScale, |
| 895 | int32_t qOffset, |
| 896 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 897 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 898 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 899 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 900 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 901 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 902 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), |
| 903 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 904 | 0, 1, 2, 3, 4, |
| 905 | 5, 6, 7, 8, 9, |
| 906 | 10, 11, 12, 13, 14, |
| 907 | 15, 16, 17, 18, 19, |
| 908 | 20, 21, 22, 23, 24, |
| 909 | |
| 910 | 25, 26, 27, 28, 29, |
| 911 | 30, 31, 32, 33, 34, |
| 912 | 35, 36, 37, 38, 39, |
| 913 | 40, 41, 42, 43, 44, |
| 914 | 45, 46, 47, 48, 49 |
| 915 | }))); |
| 916 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 917 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 918 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 919 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 920 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), |
| 921 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 922 | 32, 31, 30, 29, |
| 923 | 28, 27, 26, 25, |
| 924 | 24, 23, 22, 21, |
| 925 | 20, 19, 18, 17, |
| 926 | |
| 927 | 16, 15, 14, 13, |
| 928 | 12, 11, 10, 9, |
| 929 | 8, 7, 6, 5, |
| 930 | 4, 3, 2, 1 |
| 931 | }))); |
| 932 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 933 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 934 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 935 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 936 | 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] | 937 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), |
| 938 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 939 | 1062, 1580, 1850, 1530, 1117, |
| 940 | 2140, 3108, 3500, 2842, 2042, |
| 941 | 3580, 5068, 5460, 4342, 3062, |
| 942 | 3618, 5072, 5390, 4248, 2971, |
| 943 | 3074, 4282, 4510, 3533, 2457, |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 944 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 945 | 1550, 2284, 2362, 1955, 1428, |
| 946 | 2910, 4206, 4342, 3528, 2536, |
| 947 | 3390, 4886, 5022, 4068, 2916, |
| 948 | 3566, 5056, 5182, 4133, 2922, |
| 949 | 3100, 4352, 4452, 3517, 2465 |
| 950 | }))); |
| 951 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 952 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 953 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 954 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 955 | input, |
| 956 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 957 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 958 | expectedOutput, |
| 959 | qScale, |
| 960 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 961 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 962 | 1, // Padding left. |
| 963 | 1, // Padding top. |
| 964 | 2, // Padding right. |
| 965 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 966 | 1, // strideX |
| 967 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 968 | } |
| 969 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 970 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 971 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 972 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 973 | armnn::IWorkloadFactory& workloadFactory, |
| 974 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 975 | float qScale, |
| 976 | int32_t qOffset, |
| 977 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 978 | { |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 979 | auto layout = armnn::DataLayout::NHWC; |
| 980 | |
| 981 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 982 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 983 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), |
| 984 | { |
| 985 | 0, 1, 2, 3, 4, |
| 986 | 5, 6, 7, 8, 9, |
| 987 | 10, 11, 12, 13, 14, |
| 988 | 15, 16, 17, 18, 19, |
| 989 | 20, 21, 22, 23, 24, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 990 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 991 | 25, 26, 27, 28, 29, |
| 992 | 30, 31, 32, 33, 34, |
| 993 | 35, 36, 37, 38, 39, |
| 994 | 40, 41, 42, 43, 44, |
| 995 | 45, 46, 47, 48, 49 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 996 | }))); |
| 997 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 998 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 999 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1000 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), |
| 1001 | { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 1002 | 32, 31, 30, 29, |
| 1003 | 28, 27, 26, 25, |
| 1004 | 24, 23, 22, 21, |
| 1005 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1006 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 1007 | 16, 15, 14, 13, |
| 1008 | 12, 11, 10, 9, |
| 1009 | 8, 7, 6, 5, |
| 1010 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1011 | }))); |
| 1012 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1013 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1014 | 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] | 1015 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), |
| 1016 | { |
| 1017 | 1062, 1580, 1850, 1530, 1117, |
| 1018 | 2140, 3108, 3500, 2842, 2042, |
| 1019 | 3580, 5068, 5460, 4342, 3062, |
| 1020 | 3618, 5072, 5390, 4248, 2971, |
| 1021 | 3074, 4282, 4510, 3533, 2457, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1022 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1023 | 1550, 2284, 2362, 1955, 1428, |
| 1024 | 2910, 4206, 4342, 3528, 2536, |
| 1025 | 3390, 4886, 5022, 4068, 2916, |
| 1026 | 3566, 5056, 5182, 4133, 2922, |
| 1027 | 3100, 4352, 4452, 3517, 2465 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1028 | }))); |
| 1029 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1030 | return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1031 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1032 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1033 | input, |
| 1034 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1035 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1036 | expectedOutput, |
| 1037 | qScale, |
| 1038 | qOffset, |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1039 | layout, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1040 | 1, // Padding left. |
| 1041 | 1, // Padding top. |
| 1042 | 2, // Padding right. |
| 1043 | 2, // Padding bottom. |
| 1044 | 1, // strideX |
| 1045 | 1); // strideY |
| 1046 | } |
| 1047 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1048 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 1049 | typename T = armnn::ResolveType<ArmnnType>> |
| 1050 | LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon( |
| 1051 | armnn::IWorkloadFactory& workloadFactory, |
| 1052 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1053 | float qScale, |
| 1054 | int32_t qOffset, |
| 1055 | bool biasEnabled) |
| 1056 | { |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1057 | auto layout = armnn::DataLayout::NHWC; |
| 1058 | |
| 1059 | armnn::TensorInfo inputTensorInfo({ 1, 1, 9, 9}, ArmnnType); |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1060 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1061 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), |
| 1062 | { |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1063 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1064 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1065 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1066 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1067 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1068 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1069 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1070 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1071 | 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1072 | }))); |
| 1073 | |
| 1074 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 1075 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1076 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), |
| 1077 | { |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1078 | 1, 2, 3, |
| 1079 | 4, 5, 6, |
| 1080 | 7, 8, 9 |
| 1081 | }))); |
| 1082 | |
| 1083 | uint32_t padLeft = 0; |
| 1084 | uint32_t padTop = 0; |
| 1085 | uint32_t padRight = 0; |
| 1086 | uint32_t padBottom = 0; |
| 1087 | uint32_t strideX = 1; |
| 1088 | uint32_t strideY = 1; |
| 1089 | uint32_t dilationX = 3; |
| 1090 | uint32_t dilationY = 3; |
| 1091 | |
| 1092 | // 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] | 1093 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1094 | 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] | 1095 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), |
| 1096 | { |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1097 | 5, 5, 5, |
| 1098 | 5, 5, 5, |
| 1099 | 5, 5, 5 |
| 1100 | }))); |
| 1101 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1102 | return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1103 | workloadFactory, |
| 1104 | memoryManager, |
| 1105 | input, |
| 1106 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1107 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1108 | expectedOutput, |
| 1109 | qScale, |
| 1110 | qOffset, |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1111 | layout, |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1112 | padLeft, |
| 1113 | padTop, |
| 1114 | padRight, |
| 1115 | padBottom, |
| 1116 | strideX, |
| 1117 | strideY, |
| 1118 | dilationX, |
| 1119 | dilationY); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1120 | } |
| 1121 | |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1122 | |
| 1123 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
| 1124 | LayerTestResult<T, 4> DepthwiseConvolution2d3x3DilationTestCommon( |
| 1125 | armnn::IWorkloadFactory& workloadFactory, |
| 1126 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1127 | const std::vector<float>& inputNoQuantizedValues, |
| 1128 | armnn::TensorInfo& inputTensorInfo, |
| 1129 | const std::vector<float>& kernelNoQuantizedValues, |
| 1130 | armnn::TensorInfo& kernelTensorInfo, |
| 1131 | const std::vector<float>& outputExpectedNoQuantizedValues, |
| 1132 | armnn::TensorInfo& outputTensorInfo, |
| 1133 | uint32_t dilationX, |
| 1134 | uint32_t dilationY, |
| 1135 | armnn::DataLayout layout = armnn::DataLayout::NCHW, |
| 1136 | bool biasEnabled = false) |
| 1137 | { |
| 1138 | float qScale; |
| 1139 | int32_t qOffset; |
| 1140 | switch (ArmnnType) |
| 1141 | { |
| 1142 | case armnn::DataType::QuantisedAsymm8: |
| 1143 | { |
| 1144 | qScale = 0.1f; |
| 1145 | qOffset = 128; |
| 1146 | break; |
| 1147 | } |
| 1148 | case armnn::DataType::QuantisedSymm16: |
| 1149 | { |
| 1150 | qScale = 0.1f; |
| 1151 | qOffset = 0; |
| 1152 | break; |
| 1153 | } |
| 1154 | case armnn::DataType::Float32: |
| 1155 | default: |
| 1156 | { |
| 1157 | qScale = 0.f; |
| 1158 | qOffset = 0; |
| 1159 | break; |
| 1160 | } |
| 1161 | } |
| 1162 | |
| 1163 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1164 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1165 | kernelTensorInfo.SetQuantizationScale(qScale); |
| 1166 | kernelTensorInfo.SetQuantizationOffset(qOffset); |
| 1167 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1168 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1169 | |
| 1170 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
| 1171 | std::vector<T>(QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), |
| 1172 | inputTensorInfo.GetQuantizationOffset(), |
| 1173 | inputNoQuantizedValues))); |
| 1174 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, |
| 1175 | std::vector<T>(QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), |
| 1176 | kernelTensorInfo.GetQuantizationOffset(), |
| 1177 | kernelNoQuantizedValues))); |
| 1178 | auto expectedOutput = MakeTensor<T, 4>(outputTensorInfo, |
| 1179 | std::vector<T>(QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), |
| 1180 | outputTensorInfo.GetQuantizationOffset(), |
| 1181 | outputExpectedNoQuantizedValues))); |
| 1182 | |
| 1183 | uint32_t padLeft = 0; |
| 1184 | uint32_t padTop = 0; |
| 1185 | uint32_t padRight = 0; |
| 1186 | uint32_t padBottom = 0; |
| 1187 | uint32_t strideX = 1; |
| 1188 | uint32_t strideY = 1; |
| 1189 | |
| 1190 | return DepthwiseConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 1191 | workloadFactory, |
| 1192 | memoryManager, |
| 1193 | input, |
| 1194 | kernel, |
| 1195 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
| 1196 | expectedOutput, |
| 1197 | qScale, |
| 1198 | qOffset, |
| 1199 | layout, |
| 1200 | padLeft, |
| 1201 | padTop, |
| 1202 | padRight, |
| 1203 | padBottom, |
| 1204 | strideX, |
| 1205 | strideY, |
| 1206 | dilationX, |
| 1207 | dilationY); |
| 1208 | } |
| 1209 | |
| 1210 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 1211 | LayerTestResult<T, 4> DepthwiseConvolution2d3x3Dilation3x3Test( |
| 1212 | armnn::IWorkloadFactory& workloadFactory, |
| 1213 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1214 | bool biasEnabled, |
| 1215 | const armnn::DataLayout layout) |
| 1216 | { |
| 1217 | armnn::TensorInfo inputTensorInfo({1, 1, 10, 10}, ArmnnType); |
| 1218 | std::vector<float> inputNoQuantizedValues = |
| 1219 | { |
| 1220 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1221 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1222 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1223 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1224 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1225 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1226 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1227 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1228 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1229 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1230 | }; |
| 1231 | |
| 1232 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 1233 | std::vector<float> kernelNoQuantizedValues = |
| 1234 | { |
| 1235 | 1, 2, 3, |
| 1236 | 4, 5, 6, |
| 1237 | 7, 8, 9 |
| 1238 | }; |
| 1239 | |
| 1240 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 1241 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 1242 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 1243 | std::vector<float> outputExpectedNoQuantizedValues = |
| 1244 | { |
| 1245 | 6., 5., 5., 5., |
| 1246 | 6., 5., 5., 5., |
| 1247 | 6., 5., 5., 5., |
| 1248 | 3., 2., 2., 2. |
| 1249 | }; |
| 1250 | |
| 1251 | return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 1252 | workloadFactory, |
| 1253 | memoryManager, |
| 1254 | inputNoQuantizedValues, |
| 1255 | inputTensorInfo, |
| 1256 | kernelNoQuantizedValues, |
| 1257 | kernelTensorInfo, |
| 1258 | outputExpectedNoQuantizedValues, |
| 1259 | outputTensorInfo, |
| 1260 | 3, |
| 1261 | 3, |
| 1262 | layout, |
| 1263 | biasEnabled); |
| 1264 | } |
| 1265 | |
| 1266 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 1267 | LayerTestResult<T, 4> DepthwiseConvolution2d2x3x3Dilation3x3Test( |
| 1268 | armnn::IWorkloadFactory& workloadFactory, |
| 1269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1270 | bool biasEnabled, |
| 1271 | const armnn::DataLayout layout) |
| 1272 | { |
| 1273 | armnn::TensorInfo inputTensorInfo({1, 2, 10, 10}, ArmnnType); |
| 1274 | std::vector<float> inputNoQuantizedValues = |
| 1275 | { |
| 1276 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1277 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1278 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1279 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1280 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1281 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1282 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1283 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1284 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1285 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1286 | |
| 1287 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1288 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1289 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1290 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1291 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1292 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1293 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1294 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1295 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1296 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1297 | }; |
| 1298 | |
| 1299 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 3, 3}, ArmnnType); |
| 1300 | std::vector<float> kernelNoQuantizedValues = |
| 1301 | { |
| 1302 | 1, 2, 3, |
| 1303 | 4, 5, 6, |
| 1304 | 7, 8, 9, |
| 1305 | |
| 1306 | 1, 2, 3, |
| 1307 | 4, 5, 6, |
| 1308 | 7, 8, 9 |
| 1309 | }; |
| 1310 | |
| 1311 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 1312 | // therefore the output will be 2x4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 1313 | armnn::TensorInfo outputTensorInfo({ 1, 2, 4, 4}, ArmnnType); |
| 1314 | std::vector<float> outputExpectedNoQuantizedValues = |
| 1315 | { |
| 1316 | 6., 5., 5., 5., |
| 1317 | 6., 5., 5., 5., |
| 1318 | 6., 5., 5., 5., |
| 1319 | 3., 2., 2., 2., |
| 1320 | |
| 1321 | 6., 5., 5., 5., |
| 1322 | 6., 5., 5., 5., |
| 1323 | 6., 5., 5., 5., |
| 1324 | 3., 2., 2., 2. |
| 1325 | }; |
| 1326 | |
| 1327 | return DepthwiseConvolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 1328 | workloadFactory, |
| 1329 | memoryManager, |
| 1330 | inputNoQuantizedValues, |
| 1331 | inputTensorInfo, |
| 1332 | kernelNoQuantizedValues, |
| 1333 | kernelTensorInfo, |
| 1334 | outputExpectedNoQuantizedValues, |
| 1335 | outputTensorInfo, |
| 1336 | 3, |
| 1337 | 3, |
| 1338 | layout, |
| 1339 | biasEnabled); |
| 1340 | } |
| 1341 | |
| 1342 | |
| 1343 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 1344 | DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1345 | armnn::IWorkloadFactory&, |
| 1346 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1347 | bool, |
| 1348 | armnn::DataLayout); |
| 1349 | |
| 1350 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 1351 | DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 1352 | armnn::IWorkloadFactory&, |
| 1353 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1354 | bool, |
| 1355 | armnn::DataLayout); |
| 1356 | |
| 1357 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 1358 | DepthwiseConvolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1359 | armnn::IWorkloadFactory&, |
| 1360 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1361 | bool, |
| 1362 | armnn::DataLayout); |
| 1363 | |
| 1364 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 1365 | DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1366 | armnn::IWorkloadFactory&, |
| 1367 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1368 | bool, |
| 1369 | armnn::DataLayout); |
| 1370 | |
| 1371 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 1372 | DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 1373 | armnn::IWorkloadFactory&, |
| 1374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1375 | bool, |
| 1376 | armnn::DataLayout); |
| 1377 | |
| 1378 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 1379 | DepthwiseConvolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1380 | armnn::IWorkloadFactory&, |
| 1381 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 1382 | bool, |
| 1383 | armnn::DataLayout); |
| 1384 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1385 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 1386 | armnn::IWorkloadFactory& workloadFactory, |
| 1387 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1388 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1389 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1390 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1391 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1392 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1393 | } |
| 1394 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1395 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 1396 | armnn::IWorkloadFactory& workloadFactory, |
| 1397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1398 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1399 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1400 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1401 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1402 | } |
| 1403 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1404 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 1405 | armnn::IWorkloadFactory& workloadFactory, |
| 1406 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1407 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1408 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1410 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1411 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1412 | } |
| 1413 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1414 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 1415 | armnn::IWorkloadFactory& workloadFactory, |
| 1416 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1417 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1418 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1419 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1420 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1421 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1422 | } |
| 1423 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1424 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 1425 | armnn::IWorkloadFactory& workloadFactory, |
| 1426 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1427 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1428 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1429 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1430 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1431 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1432 | } |
| 1433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1434 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 1435 | armnn::IWorkloadFactory& workloadFactory, |
| 1436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1437 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1438 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1440 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1441 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1442 | } |
| 1443 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1444 | LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest( |
| 1445 | armnn::IWorkloadFactory& workloadFactory, |
| 1446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1447 | { |
| 1448 | return SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Teresa Charlin | 20b1f88 | 2019-06-19 09:34:37 +0100 | [diff] [blame] | 1449 | workloadFactory, |
| 1450 | memoryManager, |
| 1451 | 0.f, |
| 1452 | 0, |
| 1453 | false); |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1454 | } |
| 1455 | |
Ruomei Yan | 88d44b8 | 2019-05-23 14:29:06 +0100 | [diff] [blame] | 1456 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dInt16Test( |
| 1457 | armnn::IWorkloadFactory& workloadFactory, |
| 1458 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1459 | bool biasEnabled, |
| 1460 | const armnn::DataLayout layout) |
| 1461 | { |
| 1462 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1463 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 1464 | } |
| 1465 | |
| 1466 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dDepthMul1Int16Test( |
| 1467 | armnn::IWorkloadFactory& workloadFactory, |
| 1468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1469 | bool biasEnabled, |
| 1470 | const armnn::DataLayout layout) |
| 1471 | { |
| 1472 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1473 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 1474 | } |
| 1475 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1476 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1477 | armnn::IWorkloadFactory& workloadFactory, |
| 1478 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1479 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1480 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1481 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1482 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 1483 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1484 | } |
| 1485 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1486 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 1487 | armnn::IWorkloadFactory& workloadFactory, |
| 1488 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1489 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1490 | const armnn::DataLayout layout) |
| 1491 | { |
| 1492 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1493 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 1494 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1495 | |
| 1496 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 1497 | armnn::IWorkloadFactory& workloadFactory, |
| 1498 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1499 | { |
| 1500 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1501 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1502 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1503 | } |
| 1504 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1505 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 1506 | armnn::IWorkloadFactory& workloadFactory, |
| 1507 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1508 | { |
| 1509 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1510 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1511 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1512 | } |
| 1513 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1514 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 1515 | armnn::IWorkloadFactory& workloadFactory, |
| 1516 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1517 | { |
| 1518 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1519 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1520 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1521 | } |
| 1522 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1523 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 1524 | armnn::IWorkloadFactory& workloadFactory, |
| 1525 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1526 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1527 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1528 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1529 | } |
| 1530 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1531 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 1532 | armnn::IWorkloadFactory& workloadFactory, |
| 1533 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1534 | float beta) |
| 1535 | { |
| 1536 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1537 | } |
| 1538 | |
| 1539 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 1540 | armnn::IWorkloadFactory& workloadFactory, |
| 1541 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1542 | float beta) |
| 1543 | { |
| 1544 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1545 | } |
| 1546 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1547 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 1548 | armnn::IWorkloadFactory& workloadFactory, |
| 1549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1550 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1551 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1552 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1553 | } |
| 1554 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1555 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 1556 | armnn::IWorkloadFactory& workloadFactory, |
| 1557 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1558 | float beta) |
| 1559 | { |
| 1560 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1561 | } |
| 1562 | |
| 1563 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 1564 | armnn::IWorkloadFactory& workloadFactory, |
| 1565 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1566 | float beta) |
| 1567 | { |
| 1568 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1569 | } |
| 1570 | |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame] | 1571 | LayerTestResult<int16_t,2> SimpleSoftmaxUint16Test( |
| 1572 | armnn::IWorkloadFactory& workloadFactory, |
| 1573 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1574 | float beta) |
| 1575 | { |
| 1576 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1577 | } |
| 1578 | |
| 1579 | LayerTestResult<int16_t,3> Simple3dSoftmaxUint16Test( |
| 1580 | armnn::IWorkloadFactory& workloadFactory, |
| 1581 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1582 | float beta) |
| 1583 | { |
| 1584 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1585 | } |
| 1586 | |
| 1587 | LayerTestResult<int16_t,4> Simple4dSoftmaxUint16Test( |
| 1588 | armnn::IWorkloadFactory& workloadFactory, |
| 1589 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1590 | float beta) |
| 1591 | { |
| 1592 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1593 | } |
| 1594 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1595 | LayerTestResult<float,4> CompareNormalizationTest( |
| 1596 | armnn::IWorkloadFactory& workloadFactory, |
| 1597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1598 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1599 | armnn::NormalizationAlgorithmChannel normChannel, |
| 1600 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1601 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1602 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1603 | } |
| 1604 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1605 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 1606 | armnn::IWorkloadFactory& workloadFactory, |
| 1607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1608 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1609 | float beta) |
| 1610 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1611 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 1612 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1613 | } |
| 1614 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1615 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 1616 | armnn::IWorkloadFactory& workloadFactory, |
| 1617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1618 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1619 | float beta) |
| 1620 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1621 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1622 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1623 | } |
| 1624 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1625 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 1626 | armnn::IWorkloadFactory& workloadFactory, |
| 1627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1628 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1629 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1630 | } |
| 1631 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1632 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 1633 | armnn::IWorkloadFactory& workloadFactory, |
| 1634 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1635 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1636 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1637 | } |
| 1638 | |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 1639 | std::vector<LayerTestResult<int16_t,3>> SplitterInt16Test( |
| 1640 | armnn::IWorkloadFactory& workloadFactory, |
| 1641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1642 | { |
| 1643 | return SplitterTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 1644 | } |
| 1645 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1646 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 1647 | armnn::IWorkloadFactory& workloadFactory, |
| 1648 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1649 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1650 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1651 | } |
| 1652 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1653 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 1654 | armnn::IWorkloadFactory& workloadFactory, |
| 1655 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1656 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1657 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1658 | } |
| 1659 | |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 1660 | LayerTestResult<int16_t, 3> CopyViaSplitterInt16Test( |
| 1661 | armnn::IWorkloadFactory& workloadFactory, |
| 1662 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1663 | { |
| 1664 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 1665 | } |
| 1666 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1667 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1668 | armnn::IWorkloadFactory& workloadFactory, |
| 1669 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1670 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1671 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1672 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1673 | { 2., 3., 3., 4. })); |
| 1674 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1675 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1676 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1677 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1678 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1679 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1680 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1681 | } |
| 1682 | |
| 1683 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1684 | armnn::IWorkloadFactory& workloadFactory, |
| 1685 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1686 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1687 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1688 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1689 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1690 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 1691 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1692 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1693 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1694 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1695 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1696 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1697 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1698 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1699 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 1700 | 0.02168f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1701 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>( |
| 1702 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1703 | } |
| 1704 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1705 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 1706 | armnn::IWorkloadFactory& workloadFactory, |
| 1707 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1708 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1709 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1710 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1711 | {2., 3., 3., 4.})); |
| 1712 | |
| 1713 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1714 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1715 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1716 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1717 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 1718 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1719 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1720 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1721 | } |
| 1722 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1723 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionTest( |
| 1724 | armnn::IWorkloadFactory& workloadFactory, |
| 1725 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1726 | { |
| 1727 | const float qScale = 1.0f; |
| 1728 | const int32_t qOffset = 0; |
| 1729 | |
| 1730 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1731 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1732 | |
| 1733 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1734 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1735 | std::vector<float>{2., 3., 3., 4.})); |
| 1736 | |
| 1737 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1738 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1739 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1740 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1741 | |
| 1742 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1743 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1744 | |
| 1745 | } |
| 1746 | |
| 1747 | LayerTestResult<int16_t, 2> LstmLayerInt16WithCifgWithPeepholeNoProjectionTest( |
| 1748 | armnn::IWorkloadFactory& workloadFactory, |
| 1749 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1750 | { |
| 1751 | const float qScale = 1.0f; |
| 1752 | const int32_t qOffset = 0; |
| 1753 | |
| 1754 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1755 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1756 | |
| 1757 | armnn::TensorInfo inputDesc({ 2, 2 }, datatype); |
| 1758 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1759 | std::vector<float>({ 2., 3., 3., 4. }))); |
| 1760 | |
| 1761 | armnn::TensorInfo outputDesc({ 2, 4 }, datatype); |
| 1762 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1763 | qOffset, std::vector<float>( |
| 1764 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1765 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}))); |
| 1766 | |
| 1767 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>( |
| 1768 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1769 | } |
| 1770 | |
| 1771 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgWithPeepholeWithProjectionTest( |
| 1772 | armnn::IWorkloadFactory& workloadFactory, |
| 1773 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1774 | { |
| 1775 | const float qScale = 2.0f; |
| 1776 | const int32_t qOffset = 0; |
| 1777 | |
| 1778 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1779 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1780 | |
| 1781 | armnn::TensorInfo inputDesc({ 2, 5 }, datatype); |
| 1782 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1783 | qOffset, std::vector<float>( |
| 1784 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1785 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}))); |
| 1786 | |
| 1787 | armnn::TensorInfo outputDesc({ 2, 16 }, datatype); |
| 1788 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1789 | qOffset, std::vector<float>( |
| 1790 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1791 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1792 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1793 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1794 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1795 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, 0.02168f}))); |
| 1796 | |
| 1797 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>( |
| 1798 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1799 | } |
| 1800 | |
| 1801 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest( |
| 1802 | armnn::IWorkloadFactory& workloadFactory, |
| 1803 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1804 | { |
| 1805 | const float qScale = 1.0f; |
| 1806 | const int32_t qOffset = 0; |
| 1807 | |
| 1808 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; // datatype & constants set to QSymm16 |
| 1809 | |
| 1810 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1811 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1812 | qOffset, std::vector<float>{2., 3., 3., 4.})); |
| 1813 | |
| 1814 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1815 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1816 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1817 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1818 | |
| 1819 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1820 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype); |
| 1821 | } |
| 1822 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 1823 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1824 | armnn::IWorkloadFactory& workloadFactory, |
| 1825 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1826 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1827 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1828 | unsigned int outputHeight = 6; |
| 1829 | unsigned int outputChannels = 3; |
| 1830 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1831 | unsigned int inputWidth1 = 3; |
| 1832 | unsigned int inputHeight1 = 6; |
| 1833 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1834 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1835 | unsigned int inputWidth2 = 3; |
| 1836 | unsigned int inputHeight2 = 6; |
| 1837 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1838 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1839 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1840 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 1841 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 1842 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1843 | |
| 1844 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 1845 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1846 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1847 | { |
| 1848 | 1.0f, 2.0f, 3.0f, |
| 1849 | 4.0f, 5.0f, 6.0f, |
| 1850 | 7.0f, 8.0f, 9.0f, |
| 1851 | 10.0f, 11.0f, 12.0f, |
| 1852 | 13.0f, 14.0f, 15.0f, |
| 1853 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1854 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1855 | 19.0f, 20.0f, 21.0f, |
| 1856 | 22.0f, 23.0f, 24.0f, |
| 1857 | 25.0f, 26.0f, 27.0f, |
| 1858 | 28.0f, 29.0f, 30.0f, |
| 1859 | 31.0f, 32.0f, 33.0f, |
| 1860 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1861 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1862 | 37.0f, 38.0f, 39.0f, |
| 1863 | 40.0f, 41.0f, 42.0f, |
| 1864 | 43.0f, 44.0f, 45.0f, |
| 1865 | 46.0f, 47.0f, 48.0f, |
| 1866 | 49.0f, 50.0f, 51.0f, |
| 1867 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1868 | }) |
| 1869 | ); |
| 1870 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1871 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 1872 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1873 | 1.0f, 2.0f, 3.0f, |
| 1874 | 4.0f, 5.0f, 6.0f, |
| 1875 | 7.0f, 8.0f, 9.0f, |
| 1876 | 10.0f, 11.0f, 12.0f, |
| 1877 | 13.0f, 14.0f, 15.0f, |
| 1878 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1879 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1880 | 19.0f, 20.0f, 21.0f, |
| 1881 | 22.0f, 23.0f, 24.0f, |
| 1882 | 25.0f, 26.0f, 27.0f, |
| 1883 | 28.0f, 29.0f, 30.0f, |
| 1884 | 31.0f, 32.0f, 33.0f, |
| 1885 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1886 | }) |
| 1887 | ); |
| 1888 | |
| 1889 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 1890 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1891 | 37.0f, 38.0f, 39.0f, |
| 1892 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1893 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1894 | 46.0f, 47.0f, 48.0f, |
| 1895 | 49.0f, 50.0f, 51.0f, |
| 1896 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1897 | }) |
| 1898 | ); |
| 1899 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1900 | 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] | 1901 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1902 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1903 | 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] | 1904 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1905 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1906 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1907 | |
| 1908 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 1909 | |
| 1910 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 1911 | subTensorsSupported ? |
| 1912 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 1913 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1914 | |
| 1915 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 1916 | subTensorsSupported ? |
| 1917 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 1918 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1919 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1920 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1921 | armnn::WorkloadInfo info; |
| 1922 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1923 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1924 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1925 | |
| 1926 | data.m_ViewOrigins.push_back(window1); |
| 1927 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1928 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 1929 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1930 | |
| 1931 | inputHandle1->Allocate(); |
| 1932 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1933 | outputHandle->Allocate(); |
| 1934 | |
| 1935 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 1936 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1937 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1938 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1939 | workload->Execute(); |
| 1940 | |
| 1941 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 1942 | |
| 1943 | return ret; |
| 1944 | } |
| 1945 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1946 | LayerTestResult<float,4> AdditionTest( |
| 1947 | armnn::IWorkloadFactory& workloadFactory, |
| 1948 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1949 | { |
| 1950 | unsigned int batchSize = 2; |
| 1951 | unsigned int channels = 2; |
| 1952 | unsigned int height = 2; |
| 1953 | unsigned int width = 3; |
| 1954 | |
| 1955 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1956 | armnn::TensorInfo outputTensorInfo; |
| 1957 | |
| 1958 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1959 | |
| 1960 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1961 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1962 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1963 | |
| 1964 | |
| 1965 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 1966 | { |
| 1967 | 0.0f, 2.0f, 1.0f, |
| 1968 | 0.2f, 1.0f, 2.0f, |
| 1969 | |
| 1970 | 1.0f, 2.0f, 1.0f, |
| 1971 | 0.2f, 1.0f, 2.0f, |
| 1972 | |
| 1973 | 0.0f, 2.0f, 1.0f, |
| 1974 | 4.2f, 1.0f, 2.0f, |
| 1975 | |
| 1976 | 0.0f, 0.0f, 1.0f, |
| 1977 | 0.2f, 1.0f, 2.0f, |
| 1978 | })); |
| 1979 | |
| 1980 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 1981 | { |
| 1982 | 1.0f, 2.0f, 1.0f, |
| 1983 | 0.0f, 1.0f, 2.0f, |
| 1984 | |
| 1985 | 1.0f, 2.0f, -2.0f, |
| 1986 | 0.2f, 1.0f, 2.0f, |
| 1987 | |
| 1988 | 0.0f, 2.0f, 1.0f, |
| 1989 | 4.2f, 0.0f, -3.0f, |
| 1990 | |
| 1991 | 0.0f, 0.0f, 1.0f, |
| 1992 | 0.7f, 1.0f, 5.0f, |
| 1993 | })); |
| 1994 | |
| 1995 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1996 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 1997 | { |
| 1998 | 1.0f, 4.0f, 2.0f, |
| 1999 | 0.2f, 2.0f, 4.0f, |
| 2000 | |
| 2001 | 2.0f, 4.0f, -1.0f, |
| 2002 | 0.4f, 2.0f, 4.0f, |
| 2003 | |
| 2004 | 0.0f, 4.0f, 2.0f, |
| 2005 | 8.4f, 1.0f, -1.0f, |
| 2006 | |
| 2007 | 0.0f, 0.0f, 2.0f, |
| 2008 | 0.9f, 2.0f, 7.0f, |
| 2009 | })); |
| 2010 | |
| 2011 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2012 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2013 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2014 | |
| 2015 | armnn::AdditionQueueDescriptor data; |
| 2016 | armnn::WorkloadInfo info; |
| 2017 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2018 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2019 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2020 | |
| 2021 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2022 | |
| 2023 | inputHandle1->Allocate(); |
| 2024 | inputHandle2->Allocate(); |
| 2025 | outputHandle->Allocate(); |
| 2026 | |
| 2027 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2028 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2029 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2030 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2031 | workload->Execute(); |
| 2032 | |
| 2033 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2034 | |
| 2035 | return ret; |
| 2036 | } |
| 2037 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2038 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2039 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 2040 | armnn::IWorkloadFactory& workloadFactory, |
| 2041 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2042 | float qScale, |
| 2043 | int32_t qOffset) |
| 2044 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2045 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 2046 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 2047 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2048 | |
| 2049 | if (armnn::IsQuantizedType<T>()) |
| 2050 | { |
| 2051 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2052 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 2053 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 2054 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 2055 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2056 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 2057 | } |
| 2058 | |
| 2059 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 2060 | { |
| 2061 | 0.0f, |
| 2062 | 1.0f, |
| 2063 | |
| 2064 | 2.0f, |
| 2065 | 3.0f, |
| 2066 | |
| 2067 | 4.0f, |
| 2068 | 5.0f, |
| 2069 | })); |
| 2070 | |
| 2071 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 2072 | { |
| 2073 | 0.5f, 1.5f, 2.5f, |
| 2074 | 3.5f, 4.5f, 5.5f, |
| 2075 | })); |
| 2076 | |
| 2077 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 2078 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 2079 | { |
| 2080 | 0.5f, 1.5f, 2.5f, |
| 2081 | 4.5f, 5.5f, 6.5f, |
| 2082 | |
| 2083 | 2.5f, 3.5f, 4.5f, |
| 2084 | 6.5f, 7.5f, 8.5f, |
| 2085 | |
| 2086 | 4.5f, 5.5f, 6.5f, |
| 2087 | 8.5f, 9.5f, 10.5f, |
| 2088 | })); |
| 2089 | |
| 2090 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2091 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2092 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2093 | |
| 2094 | armnn::AdditionQueueDescriptor data; |
| 2095 | armnn::WorkloadInfo info; |
| 2096 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2097 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2098 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2099 | |
| 2100 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2101 | |
| 2102 | inputHandle1->Allocate(); |
| 2103 | inputHandle2->Allocate(); |
| 2104 | outputHandle->Allocate(); |
| 2105 | |
| 2106 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2107 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2108 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2109 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2110 | workload->Execute(); |
| 2111 | |
| 2112 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2113 | |
| 2114 | return ret; |
| 2115 | } |
| 2116 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2117 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2118 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 2119 | armnn::IWorkloadFactory& workloadFactory, |
| 2120 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2121 | float qScale, |
| 2122 | int32_t qOffset) |
| 2123 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2124 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 2125 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 2126 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2127 | |
| 2128 | if (armnn::IsQuantizedType<T>()) |
| 2129 | { |
| 2130 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2131 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 2132 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 2133 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 2134 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2135 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 2136 | } |
| 2137 | |
| 2138 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 2139 | { |
| 2140 | 0.0f, 1.0f, 2.0f, |
| 2141 | 3.0f, 4.0f, 5.0f, |
| 2142 | 6.0f, 7.0f, 8.0f, |
| 2143 | 9.0f, 10.0f, 11.0f, |
| 2144 | 12.0f, 13.0f, 14.0f, |
| 2145 | 15.0f, 16.0f, 17.0f, |
| 2146 | })); |
| 2147 | |
| 2148 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 2149 | { |
| 2150 | 0.5f, |
| 2151 | })); |
| 2152 | |
| 2153 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 2154 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 2155 | { |
| 2156 | 0.5f, 1.5f, 2.5f, |
| 2157 | 3.5f, 4.5f, 5.5f, |
| 2158 | 6.5f, 7.5f, 8.5f, |
| 2159 | 9.5f, 10.5f, 11.5f, |
| 2160 | 12.5f, 13.5f, 14.5f, |
| 2161 | 15.5f, 16.5f, 17.5f, |
| 2162 | })); |
| 2163 | |
| 2164 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2165 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2166 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2167 | |
| 2168 | armnn::AdditionQueueDescriptor data; |
| 2169 | armnn::WorkloadInfo info; |
| 2170 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2171 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2172 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2173 | |
| 2174 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2175 | |
| 2176 | inputHandle1->Allocate(); |
| 2177 | inputHandle2->Allocate(); |
| 2178 | outputHandle->Allocate(); |
| 2179 | |
| 2180 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2181 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2182 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2183 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2184 | workload->Execute(); |
| 2185 | |
| 2186 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2187 | |
| 2188 | return ret; |
| 2189 | } |
| 2190 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2191 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 2192 | armnn::IWorkloadFactory& workloadFactory, |
| 2193 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2194 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2195 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 2196 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2197 | } |
| 2198 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2199 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 2200 | armnn::IWorkloadFactory& workloadFactory, |
| 2201 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2202 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2203 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2204 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2205 | } |
| 2206 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2207 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 2208 | armnn::IWorkloadFactory& workloadFactory, |
| 2209 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2210 | { |
| 2211 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 2212 | workloadFactory, memoryManager, 2.f, 0); |
| 2213 | } |
| 2214 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2215 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 2216 | armnn::IWorkloadFactory& workloadFactory, |
| 2217 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2218 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2219 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 2220 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2221 | } |
| 2222 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2223 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 2224 | armnn::IWorkloadFactory& workloadFactory, |
| 2225 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2226 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2227 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 2228 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2229 | } |
| 2230 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2231 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 2232 | armnn::IWorkloadFactory& workloadFactory, |
| 2233 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2234 | { |
| 2235 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 2236 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 2237 | } |
| 2238 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2239 | LayerTestResult<float,4> CompareAdditionTest( |
| 2240 | armnn::IWorkloadFactory& workloadFactory, |
| 2241 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2242 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2243 | { |
| 2244 | unsigned int batchSize = 4; |
| 2245 | unsigned int channels = 1; |
| 2246 | unsigned int height = 2; |
| 2247 | unsigned int width = 3; |
| 2248 | |
| 2249 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 2250 | armnn::TensorInfo outputTensorInfo; |
| 2251 | |
| 2252 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 2253 | |
| 2254 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2255 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2256 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2257 | |
| 2258 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 2259 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 2260 | |
| 2261 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2262 | |
| 2263 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2264 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2265 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2266 | |
| 2267 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2268 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2269 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2270 | |
| 2271 | armnn::AdditionQueueDescriptor data; |
| 2272 | armnn::WorkloadInfo info; |
| 2273 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2274 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2275 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2276 | |
| 2277 | armnn::AdditionQueueDescriptor refData = data; |
| 2278 | armnn::WorkloadInfo refInfo = info; |
| 2279 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 2280 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 2281 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2282 | |
| 2283 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2284 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 2285 | |
| 2286 | inputHandle1->Allocate(); |
| 2287 | inputHandle2->Allocate(); |
| 2288 | outputHandle->Allocate(); |
| 2289 | inputHandle1Ref->Allocate(); |
| 2290 | inputHandle2Ref->Allocate(); |
| 2291 | outputHandleRef->Allocate(); |
| 2292 | |
| 2293 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2294 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2295 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 2296 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 2297 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2298 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2299 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2300 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2301 | workloadRef->Execute(); |
| 2302 | |
| 2303 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2304 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2305 | |
| 2306 | return ret; |
| 2307 | } |
| 2308 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2309 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2310 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2311 | LayerTestResult<T, 4> DivisionTestHelper( |
| 2312 | armnn::IWorkloadFactory& workloadFactory, |
| 2313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2314 | const unsigned int shape0[4], |
| 2315 | const std::vector<T>& values0, |
| 2316 | float scale0, |
| 2317 | int32_t offset0, |
| 2318 | const unsigned int shape1[4], |
| 2319 | const std::vector<T> & values1, |
| 2320 | float scale1, |
| 2321 | int32_t offset1, |
| 2322 | const unsigned int outShape[4], |
| 2323 | const std::vector<T> & outValues, |
| 2324 | float outScale, |
| 2325 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2326 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2327 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 2328 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 2329 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2330 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2331 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 2332 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2333 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2334 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 2335 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2336 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2337 | outputTensorInfo.SetQuantizationScale(outScale); |
| 2338 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2339 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2340 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 2341 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2342 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2343 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 2344 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2345 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2346 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2347 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2348 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2349 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2350 | armnn::DivisionQueueDescriptor data; |
| 2351 | armnn::WorkloadInfo info; |
| 2352 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2353 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2354 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2355 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2356 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2357 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2358 | inputHandle0->Allocate(); |
| 2359 | inputHandle1->Allocate(); |
| 2360 | outputHandle->Allocate(); |
| 2361 | |
| 2362 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2363 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2364 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2365 | workload->PostAllocationConfigure(); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2366 | workload->Execute(); |
| 2367 | |
| 2368 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 2369 | |
| 2370 | return result; |
| 2371 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2372 | } // anonymous namespace |
| 2373 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2374 | LayerTestResult<float,4> DivisionByZeroTest( |
| 2375 | armnn::IWorkloadFactory& workloadFactory, |
| 2376 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2377 | { |
| 2378 | const unsigned int width = 2; |
| 2379 | const unsigned int height = 2; |
| 2380 | const unsigned int channelCount = 2; |
| 2381 | const unsigned int batchSize = 2; |
| 2382 | |
| 2383 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2384 | |
| 2385 | std::vector<float> input0({ |
| 2386 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 2387 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 2388 | |
| 2389 | std::vector<float> input1({ |
| 2390 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 2391 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 2392 | |
| 2393 | std::vector<float> output({ |
| 2394 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 2395 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 2396 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2397 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2398 | memoryManager, |
| 2399 | shape, input0, 1.0f, 0, |
| 2400 | shape, input1, 1.0f, 0, |
| 2401 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2402 | } |
| 2403 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2404 | LayerTestResult<float,4> DivisionTest( |
| 2405 | armnn::IWorkloadFactory& workloadFactory, |
| 2406 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2407 | { |
| 2408 | const unsigned int width = 2; |
| 2409 | const unsigned int height = 2; |
| 2410 | const unsigned int channelCount = 2; |
| 2411 | const unsigned int batchSize = 2; |
| 2412 | |
| 2413 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2414 | |
| 2415 | std::vector<float> input0({ |
| 2416 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 2417 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2418 | |
| 2419 | std::vector<float> input1({ |
| 2420 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 2421 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2422 | |
| 2423 | std::vector<float> output({ |
| 2424 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 2425 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 2426 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2427 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2428 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2429 | memoryManager, |
| 2430 | shape, input0, 1.0f, 0, |
| 2431 | shape, input1, 1.0f, 0, |
| 2432 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2433 | } |
| 2434 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2435 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 2436 | armnn::IWorkloadFactory& workloadFactory, |
| 2437 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2438 | { |
| 2439 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2440 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2441 | |
| 2442 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2443 | std::vector<float> input1({ 2 }); |
| 2444 | |
| 2445 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2446 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2447 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2448 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2449 | memoryManager, |
| 2450 | shape0, input0, 1.0f, 0, |
| 2451 | shape1, input1, 1.0f, 0, |
| 2452 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2453 | } |
| 2454 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2455 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 2456 | armnn::IWorkloadFactory& workloadFactory, |
| 2457 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2458 | { |
| 2459 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2460 | std::vector<float> input0({ |
| 2461 | 1, 4, 3, 8, 5, 12, |
| 2462 | 7, 16, 9, 20, 11, 24, |
| 2463 | 13, 28, 15, 32, 17, 36}); |
| 2464 | |
| 2465 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2466 | std::vector<float> input1({ 1, 2 }); |
| 2467 | |
| 2468 | std::vector<float> output({ |
| 2469 | 1, 2, 3, 4, 5, 6, |
| 2470 | 7, 8, 9, 10, 11, 12, |
| 2471 | 13, 14, 15, 16, 17, 18}); |
| 2472 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2473 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2474 | memoryManager, |
| 2475 | shape0, input0, 1.0f, 0, |
| 2476 | shape1, input1, 1.0f, 0, |
| 2477 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2478 | } |
| 2479 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2480 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 2481 | armnn::IWorkloadFactory& workloadFactory, |
| 2482 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2483 | { |
| 2484 | const unsigned int width = 2; |
| 2485 | const unsigned int height = 2; |
| 2486 | const unsigned int channelCount = 2; |
| 2487 | const unsigned int batchSize = 2; |
| 2488 | |
| 2489 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2490 | |
| 2491 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 2492 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2493 | |
| 2494 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 2495 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2496 | |
| 2497 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 2498 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 2499 | |
| 2500 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2501 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2502 | memoryManager, |
| 2503 | shape, input0, 1.0f, 0, |
| 2504 | shape, input1, 1.0f, 0, |
| 2505 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2506 | } |
| 2507 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2508 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 2509 | armnn::IWorkloadFactory& workloadFactory, |
| 2510 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2511 | { |
| 2512 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2513 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2514 | |
| 2515 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2516 | std::vector<uint8_t> input1({ 2 }); |
| 2517 | |
| 2518 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2519 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2520 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2521 | memoryManager, |
| 2522 | shape0, input0, 1.0f, 0, |
| 2523 | shape1, input1, 1.0f, 0, |
| 2524 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2525 | } |
| 2526 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2527 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 2528 | armnn::IWorkloadFactory& workloadFactory, |
| 2529 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2530 | { |
| 2531 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2532 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 2533 | 7, 16, 9, 20, 11, 24, |
| 2534 | 13, 28, 15, 32, 17, 36}); |
| 2535 | |
| 2536 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2537 | std::vector<uint8_t> input1({ 1, 2 }); |
| 2538 | |
| 2539 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 2540 | 7, 8, 9, 10, 11, 12, |
| 2541 | 13, 14, 15, 16, 17, 18}); |
| 2542 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2543 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2544 | memoryManager, |
| 2545 | shape0, input0, 1.0f, 0, |
| 2546 | shape1, input1, 1.0f, 0, |
| 2547 | shape0, output, 1.0f, 0); |
| 2548 | } |
| 2549 | |
| 2550 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 2551 | armnn::IWorkloadFactory& workloadFactory, |
| 2552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2553 | { |
| 2554 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2555 | |
| 2556 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 2557 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2558 | |
| 2559 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 2560 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2561 | |
| 2562 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 2563 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 2564 | |
| 2565 | |
| 2566 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2567 | memoryManager, |
| 2568 | shape, input0, 1.0f, 0, |
| 2569 | shape, input1, 1.0f, 0, |
| 2570 | shape, output, 0.25f, 0); |
| 2571 | } |
| 2572 | |
| 2573 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 2574 | armnn::IWorkloadFactory& workloadFactory, |
| 2575 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2576 | { |
| 2577 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2578 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2579 | |
| 2580 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2581 | std::vector<int16_t> input1({ 2 }); |
| 2582 | |
| 2583 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2584 | |
| 2585 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2586 | memoryManager, |
| 2587 | shape0, input0, 1.0f, 0, |
| 2588 | shape1, input1, 1.0f, 0, |
| 2589 | shape0, output, 1.0f, 0); |
| 2590 | } |
| 2591 | |
| 2592 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 2593 | armnn::IWorkloadFactory& workloadFactory, |
| 2594 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2595 | { |
| 2596 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2597 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 2598 | 7, 16, 9, 20, 11, 24, |
| 2599 | 13, 28, 15, 32, 17, 36}); |
| 2600 | |
| 2601 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2602 | std::vector<int16_t> input1({ 1, 2 }); |
| 2603 | |
| 2604 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 2605 | 7, 8, 9, 10, 11, 12, |
| 2606 | 13, 14, 15, 16, 17, 18}); |
| 2607 | |
| 2608 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2609 | memoryManager, |
| 2610 | shape0, input0, 1.0f, 0, |
| 2611 | shape1, input1, 1.0f, 0, |
| 2612 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2613 | } |
| 2614 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2615 | template<typename DescriptorType> |
| 2616 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 2617 | const armnn::IWorkloadFactory& workloadFactory, |
| 2618 | const armnn::WorkloadInfo& info, |
| 2619 | const DescriptorType& descriptor) |
| 2620 | { |
| 2621 | return CreateWorkload(workloadFactory, info, descriptor); |
| 2622 | }; |
| 2623 | |
| 2624 | template<> |
| 2625 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 2626 | const armnn::IWorkloadFactory& workloadFactory, |
| 2627 | const armnn::WorkloadInfo& info, |
| 2628 | const armnn::MaximumQueueDescriptor& descriptor) |
| 2629 | { |
| 2630 | return workloadFactory.CreateMaximum(descriptor, info); |
| 2631 | } |
| 2632 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2633 | template<> |
| 2634 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 2635 | const armnn::IWorkloadFactory& workloadFactory, |
| 2636 | const armnn::WorkloadInfo& info, |
| 2637 | const armnn::MinimumQueueDescriptor& descriptor) |
| 2638 | { |
| 2639 | return workloadFactory.CreateMinimum(descriptor, info); |
| 2640 | } |
| 2641 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2642 | template<> |
| 2643 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 2644 | const armnn::IWorkloadFactory& workloadFactory, |
| 2645 | const armnn::WorkloadInfo& info, |
| 2646 | const armnn::EqualQueueDescriptor& descriptor) |
| 2647 | { |
| 2648 | return workloadFactory.CreateEqual(descriptor, info); |
| 2649 | } |
| 2650 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2651 | template<> |
| 2652 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 2653 | const armnn::IWorkloadFactory& workloadFactory, |
| 2654 | const armnn::WorkloadInfo& info, |
| 2655 | const armnn::GreaterQueueDescriptor& descriptor) |
| 2656 | { |
| 2657 | return workloadFactory.CreateGreater(descriptor, info); |
| 2658 | } |
| 2659 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2660 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2661 | |
| 2662 | template <typename Descriptor, |
| 2663 | armnn::DataType ArmnnTypeInput, |
| 2664 | armnn::DataType ArmnnTypeOutput, |
| 2665 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 2666 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 2667 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 2668 | armnn::IWorkloadFactory & workloadFactory, |
| 2669 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2670 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 2671 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 2672 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 2673 | float qScale = 0.0f, int qOffset = 0) |
| 2674 | { |
| 2675 | const size_t dimensionCount = 4; |
| 2676 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 2677 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 2678 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 2679 | |
| 2680 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 2681 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 2682 | |
| 2683 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2684 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2685 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 2686 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2687 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2688 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2689 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2690 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2691 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2692 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2693 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2694 | |
| 2695 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 2696 | |
| 2697 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 2698 | { |
| 2699 | ret.compareBoolean = true; |
| 2700 | } |
| 2701 | |
| 2702 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2703 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2704 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2705 | |
| 2706 | Descriptor data; |
| 2707 | armnn::WorkloadInfo info; |
| 2708 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2709 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2710 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2711 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 2712 | |
| 2713 | inputHandle0->Allocate(); |
| 2714 | inputHandle1->Allocate(); |
| 2715 | outputHandle->Allocate(); |
| 2716 | |
| 2717 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2718 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2719 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2720 | workload->PostAllocationConfigure(); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2721 | ExecuteWorkload(*workload, memoryManager); |
| 2722 | |
| 2723 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2724 | |
| 2725 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 2726 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2727 | } |
| 2728 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2729 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 2730 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 2731 | armnn::IWorkloadFactory & workloadFactory, |
| 2732 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2733 | const unsigned int shape0[4], std::vector<T> values0, |
| 2734 | const unsigned int shape1[4], std::vector<T> values1, |
| 2735 | const unsigned int outShape[4], std::vector<T> outValues, |
| 2736 | float qScale = 0.0f, int qOffset = 0) |
| 2737 | { |
| 2738 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 2739 | (workloadFactory, |
| 2740 | memoryManager, |
| 2741 | shape0, |
| 2742 | values0, |
| 2743 | shape1, |
| 2744 | values1, |
| 2745 | outShape, |
| 2746 | outValues, |
| 2747 | qScale, |
| 2748 | qOffset); |
| 2749 | } |
| 2750 | } |
| 2751 | |
| 2752 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2753 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2754 | { |
| 2755 | const unsigned int width = 2; |
| 2756 | const unsigned int height = 2; |
| 2757 | const unsigned int channelCount = 2; |
| 2758 | const unsigned int batchSize = 2; |
| 2759 | |
| 2760 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2761 | |
| 2762 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2763 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2764 | |
| 2765 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2766 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2767 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2768 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 2769 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2770 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2771 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2772 | workloadFactory, |
| 2773 | memoryManager, |
| 2774 | shape, |
| 2775 | input0, |
| 2776 | shape, |
| 2777 | input1, |
| 2778 | shape, |
| 2779 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2780 | } |
| 2781 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2782 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2783 | armnn::IWorkloadFactory& workloadFactory, |
| 2784 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2785 | { |
| 2786 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2787 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2788 | |
| 2789 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2790 | std::vector<float> input1({ 1 }); |
| 2791 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2792 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2793 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2794 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2795 | workloadFactory, |
| 2796 | memoryManager, |
| 2797 | shape0, |
| 2798 | input0, |
| 2799 | shape1, |
| 2800 | input1, |
| 2801 | shape0, |
| 2802 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2803 | } |
| 2804 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2805 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2806 | armnn::IWorkloadFactory& workloadFactory, |
| 2807 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2808 | { |
| 2809 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2810 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2811 | |
| 2812 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2813 | 7, 8, 9, 10, 11, 12 }); |
| 2814 | |
| 2815 | std::vector<float> input1({ 1, 2, 3}); |
| 2816 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2817 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 2818 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2819 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2820 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2821 | workloadFactory, |
| 2822 | memoryManager, |
| 2823 | shape0, |
| 2824 | input0, |
| 2825 | shape1, |
| 2826 | input1, |
| 2827 | shape0, |
| 2828 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2829 | } |
| 2830 | |
| 2831 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 2832 | armnn::IWorkloadFactory& workloadFactory, |
| 2833 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2834 | { |
| 2835 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2836 | |
| 2837 | // See dequantized values to the right. |
| 2838 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2839 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2840 | |
| 2841 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2842 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2843 | |
| 2844 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2845 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2846 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2847 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2848 | armnn::DataType::QuantisedAsymm8, |
| 2849 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2850 | workloadFactory, |
| 2851 | memoryManager, |
| 2852 | shape, |
| 2853 | input0, |
| 2854 | shape, |
| 2855 | input1, |
| 2856 | shape, |
| 2857 | output, |
| 2858 | 1.0f, |
| 2859 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2860 | } |
| 2861 | |
| 2862 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 2863 | armnn::IWorkloadFactory& workloadFactory, |
| 2864 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2865 | { |
| 2866 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2867 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2868 | |
| 2869 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2870 | 7, 8, 9, 10, 11, 12 }); |
| 2871 | |
| 2872 | std::vector<uint8_t> input1({ 1 }); |
| 2873 | |
| 2874 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 2875 | 0, 0, 0, 0, 0, 0 }); |
| 2876 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2877 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2878 | armnn::DataType::QuantisedAsymm8, |
| 2879 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2880 | workloadFactory, |
| 2881 | memoryManager, |
| 2882 | shape0, |
| 2883 | input0, |
| 2884 | shape1, |
| 2885 | input1, |
| 2886 | shape0, |
| 2887 | output, |
| 2888 | 1.0f, |
| 2889 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2890 | } |
| 2891 | |
| 2892 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 2893 | armnn::IWorkloadFactory& workloadFactory, |
| 2894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2895 | { |
| 2896 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2897 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2898 | |
| 2899 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2900 | 7, 8, 9, 10, 11, 12 }); |
| 2901 | |
| 2902 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2903 | |
| 2904 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 2905 | 0, 0, 0, 0, 0, 0 }); |
| 2906 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2907 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2908 | armnn::DataType::QuantisedAsymm8, |
| 2909 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2910 | workloadFactory, |
| 2911 | memoryManager, |
| 2912 | shape0, |
| 2913 | input0, |
| 2914 | shape1, |
| 2915 | input1, |
| 2916 | shape0, |
| 2917 | output, |
| 2918 | 1.0f, |
| 2919 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2920 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2921 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2922 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2923 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2924 | { |
| 2925 | const unsigned int width = 2; |
| 2926 | const unsigned int height = 2; |
| 2927 | const unsigned int channelCount = 2; |
| 2928 | const unsigned int batchSize = 2; |
| 2929 | |
| 2930 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2931 | |
| 2932 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2933 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2934 | |
| 2935 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2936 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2937 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2938 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2939 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2940 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2941 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2942 | workloadFactory, |
| 2943 | memoryManager, |
| 2944 | shape, |
| 2945 | input0, |
| 2946 | shape, |
| 2947 | input1, |
| 2948 | shape, |
| 2949 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2950 | } |
| 2951 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2952 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2953 | armnn::IWorkloadFactory& workloadFactory, |
| 2954 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2955 | { |
| 2956 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2957 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2958 | |
| 2959 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2960 | std::vector<float> input1({ 1 }); |
| 2961 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2962 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2963 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2964 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2965 | workloadFactory, |
| 2966 | memoryManager, |
| 2967 | shape0, |
| 2968 | input0, |
| 2969 | shape1, |
| 2970 | input1, |
| 2971 | shape0, |
| 2972 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2973 | } |
| 2974 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2975 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2976 | armnn::IWorkloadFactory& workloadFactory, |
| 2977 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2978 | { |
| 2979 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2980 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2981 | |
| 2982 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 2983 | 7, 8, 9, 10, 11, 12 }); |
| 2984 | |
| 2985 | std::vector<float> input1({ 1, 3, 2}); |
| 2986 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2987 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 2988 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2989 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2990 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2991 | workloadFactory, |
| 2992 | memoryManager, |
| 2993 | shape0, |
| 2994 | input0, |
| 2995 | shape1, |
| 2996 | input1, |
| 2997 | shape0, |
| 2998 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2999 | } |
| 3000 | |
| 3001 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 3002 | armnn::IWorkloadFactory& workloadFactory, |
| 3003 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3004 | { |
| 3005 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3006 | |
| 3007 | // See dequantized values to the right. |
| 3008 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3009 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 3010 | |
| 3011 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3012 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 3013 | |
| 3014 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 3015 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 3016 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3017 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3018 | armnn::DataType::QuantisedAsymm8, |
| 3019 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3020 | workloadFactory, |
| 3021 | memoryManager, |
| 3022 | shape, |
| 3023 | input0, |
| 3024 | shape, |
| 3025 | input1, |
| 3026 | shape, |
| 3027 | output, |
| 3028 | 1.0f, |
| 3029 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3030 | } |
| 3031 | |
| 3032 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 3033 | armnn::IWorkloadFactory& workloadFactory, |
| 3034 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3035 | { |
| 3036 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3037 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3038 | |
| 3039 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3040 | 7, 8, 9, 10, 11, 12 }); |
| 3041 | |
| 3042 | std::vector<uint8_t> input1({ 1 }); |
| 3043 | |
| 3044 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 3045 | 1, 1, 1, 1, 1, 1 }); |
| 3046 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3047 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3048 | armnn::DataType::QuantisedAsymm8, |
| 3049 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3050 | workloadFactory, |
| 3051 | memoryManager, |
| 3052 | shape0, |
| 3053 | input0, |
| 3054 | shape1, |
| 3055 | input1, |
| 3056 | shape0, |
| 3057 | output, |
| 3058 | 1.0f, |
| 3059 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3060 | } |
| 3061 | |
| 3062 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 3063 | armnn::IWorkloadFactory& workloadFactory, |
| 3064 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3065 | { |
| 3066 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3067 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3068 | |
| 3069 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3070 | 7, 8, 9, 10, 11, 12 }); |
| 3071 | |
| 3072 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 3073 | |
| 3074 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 3075 | 1, 1, 1, 1, 1, 1 }); |
| 3076 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3077 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 3078 | armnn::DataType::QuantisedAsymm8, |
| 3079 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3080 | workloadFactory, |
| 3081 | memoryManager, |
| 3082 | shape0, |
| 3083 | input0, |
| 3084 | shape1, |
| 3085 | input1, |
| 3086 | shape0, |
| 3087 | output, |
| 3088 | 1.0f, |
| 3089 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 3090 | } |
| 3091 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3092 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 3093 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3094 | { |
| 3095 | const unsigned int width = 2; |
| 3096 | const unsigned int height = 2; |
| 3097 | const unsigned int channelCount = 2; |
| 3098 | const unsigned int batchSize = 2; |
| 3099 | |
| 3100 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3101 | |
| 3102 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 3103 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3104 | |
| 3105 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3106 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3107 | |
| 3108 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 3109 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3110 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3111 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3112 | workloadFactory, |
| 3113 | memoryManager, |
| 3114 | shape, |
| 3115 | input0, |
| 3116 | shape, |
| 3117 | input1, |
| 3118 | shape, |
| 3119 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3120 | } |
| 3121 | |
| 3122 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 3123 | armnn::IWorkloadFactory& workloadFactory, |
| 3124 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3125 | { |
| 3126 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3127 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3128 | |
| 3129 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3130 | std::vector<float> input1({ 2 }); |
| 3131 | |
| 3132 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 3133 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3134 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3135 | workloadFactory, |
| 3136 | memoryManager, |
| 3137 | shape0, |
| 3138 | input0, |
| 3139 | shape1, |
| 3140 | input1, |
| 3141 | shape0, |
| 3142 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3143 | } |
| 3144 | |
| 3145 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 3146 | armnn::IWorkloadFactory& workloadFactory, |
| 3147 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3148 | { |
| 3149 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3150 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3151 | |
| 3152 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 3153 | 7, 8, 9, 10, 11, 12 }); |
| 3154 | |
| 3155 | std::vector<float> input1({ 1, 2, 3}); |
| 3156 | |
| 3157 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 3158 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3159 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3160 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 3161 | workloadFactory, |
| 3162 | memoryManager, |
| 3163 | shape0, |
| 3164 | input0, |
| 3165 | shape1, |
| 3166 | input1, |
| 3167 | shape0, |
| 3168 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3169 | } |
| 3170 | |
| 3171 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 3172 | armnn::IWorkloadFactory& workloadFactory, |
| 3173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3174 | { |
| 3175 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3176 | |
| 3177 | // See dequantized values to the right. |
| 3178 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3179 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3180 | |
| 3181 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3182 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3183 | |
| 3184 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3185 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3186 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3187 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3188 | workloadFactory, |
| 3189 | memoryManager, |
| 3190 | shape, |
| 3191 | input0, |
| 3192 | shape, |
| 3193 | input1, |
| 3194 | shape, |
| 3195 | output, |
| 3196 | 1.0f, |
| 3197 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3198 | } |
| 3199 | |
| 3200 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 3201 | armnn::IWorkloadFactory& workloadFactory, |
| 3202 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3203 | { |
| 3204 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3205 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3206 | |
| 3207 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3208 | 7, 8, 9, 10, 11, 12 }); |
| 3209 | |
| 3210 | std::vector<uint8_t> input1({2}); |
| 3211 | |
| 3212 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 3213 | 7, 8, 9, 10, 11, 12 }); |
| 3214 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3215 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3216 | workloadFactory, |
| 3217 | memoryManager, |
| 3218 | shape0, |
| 3219 | input0, |
| 3220 | shape1, |
| 3221 | input1, |
| 3222 | shape0, |
| 3223 | output, |
| 3224 | 1.0f, |
| 3225 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3226 | } |
| 3227 | |
| 3228 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 3229 | armnn::IWorkloadFactory& workloadFactory, |
| 3230 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3231 | { |
| 3232 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3233 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3234 | |
| 3235 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3236 | 7, 8, 9, 10, 11, 12 }); |
| 3237 | |
| 3238 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 3239 | |
| 3240 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 3241 | 7, 10, 9, 10, 11, 12 }); |
| 3242 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3243 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3244 | workloadFactory, |
| 3245 | memoryManager, |
| 3246 | shape0, |
| 3247 | input0, |
| 3248 | shape1, |
| 3249 | input1, |
| 3250 | shape0, |
| 3251 | output, |
| 3252 | 1.0f, |
| 3253 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3254 | } |
| 3255 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3256 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 3257 | armnn::IWorkloadFactory& workloadFactory, |
| 3258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3259 | { |
| 3260 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3261 | |
| 3262 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3263 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3264 | |
| 3265 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3266 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3267 | |
| 3268 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3269 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3270 | |
| 3271 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3272 | workloadFactory, |
| 3273 | memoryManager, |
| 3274 | shape, |
| 3275 | input0, |
| 3276 | shape, |
| 3277 | input1, |
| 3278 | shape, |
| 3279 | output, |
| 3280 | 1.0f, |
| 3281 | 0); |
| 3282 | } |
| 3283 | |
| 3284 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 3285 | armnn::IWorkloadFactory& workloadFactory, |
| 3286 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3287 | { |
| 3288 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3289 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3290 | |
| 3291 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3292 | 7, 8, 9, 10, 11, 12 }); |
| 3293 | |
| 3294 | std::vector<int16_t> input1({2}); |
| 3295 | |
| 3296 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 3297 | 7, 8, 9, 10, 11, 12 }); |
| 3298 | |
| 3299 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3300 | workloadFactory, |
| 3301 | memoryManager, |
| 3302 | shape0, |
| 3303 | input0, |
| 3304 | shape1, |
| 3305 | input1, |
| 3306 | shape0, |
| 3307 | output, |
| 3308 | 1.0f, |
| 3309 | 0); |
| 3310 | } |
| 3311 | |
| 3312 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 3313 | armnn::IWorkloadFactory& workloadFactory, |
| 3314 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3315 | { |
| 3316 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3317 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3318 | |
| 3319 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3320 | 7, 8, 9, 10, 11, 12 }); |
| 3321 | |
| 3322 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 3323 | |
| 3324 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 3325 | 7, 10, 9, 10, 11, 12 }); |
| 3326 | |
| 3327 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3328 | workloadFactory, |
| 3329 | memoryManager, |
| 3330 | shape0, |
| 3331 | input0, |
| 3332 | shape1, |
| 3333 | input1, |
| 3334 | shape0, |
| 3335 | output, |
| 3336 | 1.0f, |
| 3337 | 0); |
| 3338 | } |
| 3339 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3340 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 3341 | armnn::IWorkloadFactory& workloadFactory, |
| 3342 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3343 | { |
| 3344 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3345 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3346 | |
| 3347 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3348 | std::vector<float> input1({ 2 }); |
| 3349 | |
| 3350 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 3351 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3352 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3353 | workloadFactory, |
| 3354 | memoryManager, |
| 3355 | shape0, |
| 3356 | input0, |
| 3357 | shape1, |
| 3358 | input1, |
| 3359 | shape0, |
| 3360 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3361 | } |
| 3362 | |
| 3363 | |
| 3364 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 3365 | armnn::IWorkloadFactory& workloadFactory, |
| 3366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3367 | { |
| 3368 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3369 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 3370 | |
| 3371 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3372 | std::vector<float> input1({ 5 }); |
| 3373 | |
| 3374 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 3375 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3376 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3377 | workloadFactory, |
| 3378 | memoryManager, |
| 3379 | shape0, |
| 3380 | input0, |
| 3381 | shape1, |
| 3382 | input1, |
| 3383 | shape0, |
| 3384 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3385 | } |
| 3386 | |
| 3387 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 3388 | armnn::IWorkloadFactory & workloadFactory, |
| 3389 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 3390 | { |
| 3391 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3392 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3393 | |
| 3394 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 3395 | 7, 1, 2, 3, 4, 5 }); |
| 3396 | |
| 3397 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 3398 | |
| 3399 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 3400 | 1, 1, 2, 1, 2, 3 }); |
| 3401 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3402 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3403 | workloadFactory, |
| 3404 | memoryManager, |
| 3405 | shape0, |
| 3406 | input0, |
| 3407 | shape1, |
| 3408 | input1, |
| 3409 | shape0, |
| 3410 | output, |
| 3411 | 1.0f, |
| 3412 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3413 | } |
| 3414 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3415 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 3416 | armnn::IWorkloadFactory& workloadFactory, |
| 3417 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3418 | { |
| 3419 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3420 | |
| 3421 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3422 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3423 | |
| 3424 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3425 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3426 | |
| 3427 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 3428 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3429 | |
| 3430 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3431 | workloadFactory, |
| 3432 | memoryManager, |
| 3433 | shape, |
| 3434 | input0, |
| 3435 | shape, |
| 3436 | input1, |
| 3437 | shape, |
| 3438 | output, |
| 3439 | 1.0f, |
| 3440 | 0); |
| 3441 | } |
| 3442 | |
| 3443 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 3444 | armnn::IWorkloadFactory& workloadFactory, |
| 3445 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3446 | { |
| 3447 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3448 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3449 | |
| 3450 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3451 | 7, 8, 9, 10, 11, 12 }); |
| 3452 | |
| 3453 | std::vector<int16_t> input1({2}); |
| 3454 | |
| 3455 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 3456 | 2, 2, 2, 2, 2, 2 }); |
| 3457 | |
| 3458 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3459 | workloadFactory, |
| 3460 | memoryManager, |
| 3461 | shape0, |
| 3462 | input0, |
| 3463 | shape1, |
| 3464 | input1, |
| 3465 | shape0, |
| 3466 | output, |
| 3467 | 1.0f, |
| 3468 | 0); |
| 3469 | } |
| 3470 | |
| 3471 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 3472 | armnn::IWorkloadFactory& workloadFactory, |
| 3473 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3474 | { |
| 3475 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3476 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3477 | |
| 3478 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3479 | 7, 8, 9, 10, 11, 12 }); |
| 3480 | |
| 3481 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 3482 | |
| 3483 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 3484 | 1, 8, 3, 1, 10, 3 }); |
| 3485 | |
| 3486 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3487 | workloadFactory, |
| 3488 | memoryManager, |
| 3489 | shape0, |
| 3490 | input0, |
| 3491 | shape1, |
| 3492 | input1, |
| 3493 | shape0, |
| 3494 | output, |
| 3495 | 1.0f, |
| 3496 | 0); |
| 3497 | } |
| 3498 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3499 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3500 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 3501 | armnn::IWorkloadFactory& workloadFactory, |
| 3502 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3503 | const unsigned int shape0[4], |
| 3504 | const std::vector<float> & values0, |
| 3505 | const unsigned int shape1[4], |
| 3506 | const std::vector<float> & values1, |
| 3507 | const unsigned int outShape[4], |
| 3508 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3509 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3510 | const size_t dimensionCount = 4; |
| 3511 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 3512 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 3513 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3514 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3515 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 3516 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3517 | |
| 3518 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3519 | |
| 3520 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3521 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3522 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3523 | |
| 3524 | armnn::MultiplicationQueueDescriptor data; |
| 3525 | armnn::WorkloadInfo info; |
| 3526 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3527 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3528 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3529 | |
| 3530 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3531 | |
| 3532 | inputHandle0->Allocate(); |
| 3533 | inputHandle1->Allocate(); |
| 3534 | outputHandle->Allocate(); |
| 3535 | |
| 3536 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3537 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3538 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3539 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3540 | workload->Execute(); |
| 3541 | |
| 3542 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3543 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3544 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3545 | return ret; |
| 3546 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3547 | } // anonymous namespace |
| 3548 | |
| 3549 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3550 | LayerTestResult<float,4> MultiplicationTest( |
| 3551 | armnn::IWorkloadFactory& workloadFactory, |
| 3552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3553 | { |
| 3554 | const unsigned int width = 2; |
| 3555 | const unsigned int height = 2; |
| 3556 | const unsigned int channelCount = 2; |
| 3557 | const unsigned int batchSize = 2; |
| 3558 | |
| 3559 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3560 | |
| 3561 | std::vector<float> input0({ |
| 3562 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 3563 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3564 | |
| 3565 | std::vector<float> input1({ |
| 3566 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 3567 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3568 | |
| 3569 | std::vector<float> output({ |
| 3570 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 3571 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 3572 | |
| 3573 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3574 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3575 | shape, |
| 3576 | input0, |
| 3577 | shape, |
| 3578 | input1, |
| 3579 | shape, |
| 3580 | output); |
| 3581 | } |
| 3582 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3583 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 3584 | armnn::IWorkloadFactory& workloadFactory, |
| 3585 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3586 | { |
| 3587 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3588 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3589 | |
| 3590 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3591 | std::vector<float> input1({ 2 }); |
| 3592 | |
| 3593 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3594 | |
| 3595 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3596 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3597 | shape0, |
| 3598 | input0, |
| 3599 | shape1, |
| 3600 | input1, |
| 3601 | shape0, |
| 3602 | output); |
| 3603 | } |
| 3604 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3605 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 3606 | armnn::IWorkloadFactory& workloadFactory, |
| 3607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3608 | { |
| 3609 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3610 | std::vector<float> input0({ |
| 3611 | 1, 2, 3, 4, 5, 6, |
| 3612 | 7, 8, 9, 10, 11, 12, |
| 3613 | 13, 14, 15, 16, 17, 18}); |
| 3614 | |
| 3615 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3616 | std::vector<float> input1({ 1, 2 }); |
| 3617 | |
| 3618 | std::vector<float> output({ |
| 3619 | 1, 4, 3, 8, 5, 12, |
| 3620 | 7, 16, 9, 20, 11, 24, |
| 3621 | 13, 28, 15, 32, 17, 36}); |
| 3622 | |
| 3623 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3624 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3625 | shape0, |
| 3626 | input0, |
| 3627 | shape1, |
| 3628 | input1, |
| 3629 | shape0, |
| 3630 | output); |
| 3631 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3632 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3633 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 3634 | armnn::IWorkloadFactory& workloadFactory, |
| 3635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3636 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3637 | { |
| 3638 | const unsigned int width = 16; |
| 3639 | const unsigned int height = 32; |
| 3640 | const unsigned int channelCount = 2; |
| 3641 | const unsigned int batchSize = 5; |
| 3642 | |
| 3643 | armnn::TensorInfo inputTensorInfo0; |
| 3644 | armnn::TensorInfo inputTensorInfo1; |
| 3645 | armnn::TensorInfo outputTensorInfo; |
| 3646 | |
| 3647 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3648 | |
| 3649 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3650 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3651 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3652 | |
| 3653 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 3654 | |
| 3655 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 3656 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 3657 | |
| 3658 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3659 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3660 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3661 | |
| 3662 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3663 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3664 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3665 | |
| 3666 | armnn::MultiplicationQueueDescriptor data; |
| 3667 | armnn::WorkloadInfo info; |
| 3668 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3669 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3670 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3671 | |
| 3672 | armnn::MultiplicationQueueDescriptor refData = data; |
| 3673 | armnn::WorkloadInfo refInfo = info; |
| 3674 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 3675 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 3676 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3677 | |
| 3678 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3679 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 3680 | |
| 3681 | inputHandle0->Allocate(); |
| 3682 | inputHandle1->Allocate(); |
| 3683 | outputHandle->Allocate(); |
| 3684 | inputHandle0Ref->Allocate(); |
| 3685 | inputHandle1Ref->Allocate(); |
| 3686 | outputHandleRef->Allocate(); |
| 3687 | |
| 3688 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3689 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3690 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 3691 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 3692 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3693 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3694 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3695 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3696 | workloadRef->Execute(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3697 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 3698 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3699 | |
| 3700 | return comparisonResult; |
| 3701 | } |
| 3702 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3703 | LayerTestResult<float,4> CompareBatchNormTest( |
| 3704 | armnn::IWorkloadFactory& workloadFactory, |
| 3705 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3706 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3707 | { |
| 3708 | const unsigned int width = 2; |
| 3709 | const unsigned int height = 3; |
| 3710 | const unsigned int channels = 5; |
| 3711 | const unsigned int batchSize = 3; |
| 3712 | |
| 3713 | armnn::TensorInfo inputTensorInfo; |
| 3714 | armnn::TensorInfo outputTensorInfo; |
| 3715 | armnn::TensorInfo tensorInfo; |
| 3716 | |
| 3717 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 3718 | constexpr unsigned int tensorShape[] = {channels}; |
| 3719 | |
| 3720 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3721 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3722 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 3723 | |
| 3724 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 3725 | |
| 3726 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3727 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 3728 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3729 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 3730 | |
| 3731 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3732 | |
| 3733 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3734 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3735 | |
| 3736 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3737 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3738 | |
| 3739 | armnn::BatchNormalizationQueueDescriptor data; |
| 3740 | armnn::WorkloadInfo info; |
| 3741 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 3742 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 3743 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 3744 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 3745 | |
| 3746 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 3747 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 3748 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 3749 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 3750 | |
| 3751 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 3752 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3753 | data.m_Mean = &meanTensor; |
| 3754 | data.m_Variance = &varianceTensor; |
| 3755 | data.m_Beta = &betaTensor; |
| 3756 | data.m_Gamma = &gammaTensor; |
| 3757 | data.m_Parameters.m_Eps = 0.01f; |
| 3758 | |
| 3759 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 3760 | armnn::WorkloadInfo refInfo = info; |
| 3761 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 3762 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3763 | |
| 3764 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 3765 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 3766 | |
| 3767 | inputHandle->Allocate(); |
| 3768 | outputHandle->Allocate(); |
| 3769 | inputHandleRef->Allocate(); |
| 3770 | outputHandleRef->Allocate(); |
| 3771 | |
| 3772 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 3773 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 3774 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3775 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3776 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3777 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3778 | workloadRef->Execute(); |
| 3779 | |
| 3780 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3781 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3782 | |
| 3783 | return ret; |
| 3784 | } |
| 3785 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3786 | template<typename T> |
| 3787 | void PermuteTensorData( |
| 3788 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3789 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3790 | const armnn::PermutationVector& mappings, |
| 3791 | armnn::TensorInfo & inputTensorInfo, |
| 3792 | const T * inputData, |
| 3793 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3794 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3795 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 3796 | if (inputData == nullptr) |
| 3797 | { |
| 3798 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 3799 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3800 | // an assert for Debug builds. |
| 3801 | return; |
| 3802 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3803 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3804 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 3805 | |
| 3806 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3807 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3808 | |
| 3809 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 3810 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 3811 | armnn::WorkloadInfo workloadInfo; |
| 3812 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 3813 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3814 | |
| 3815 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 3816 | |
| 3817 | inputHandle->Allocate(); |
| 3818 | outputHandle->Allocate(); |
| 3819 | |
| 3820 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 3821 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3822 | workload->PostAllocationConfigure(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3823 | workload->Execute(); |
| 3824 | |
| 3825 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 3826 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 3827 | inputTensorInfo = outputTensorInfo; |
| 3828 | } |
| 3829 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3830 | armnn::OriginsDescriptor CreateDescriptorForConcatenation( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3831 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3832 | unsigned int concatDim) |
| 3833 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3834 | std::vector<armnn::TensorShape> shapes; |
| 3835 | shapes.reserve(inputTensorInfos.size()); |
| 3836 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 3837 | { |
| 3838 | shapes.push_back(it.GetShape()); |
| 3839 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3840 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3841 | return armnn::CreateDescriptorForConcatenation(shapes.begin(), |
| 3842 | shapes.end(), |
| 3843 | concatDim); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3844 | } |
| 3845 | |
| 3846 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3847 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 3848 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 3849 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3850 | // |
| 3851 | |
| 3852 | bool NeedPermuteForConcat( |
| 3853 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3854 | unsigned int concatDim) |
| 3855 | { |
| 3856 | // See note above. Additionally we expect the input shapes to have the |
| 3857 | // same number of dimensions. |
| 3858 | unsigned int nDimensions = 0; |
| 3859 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3860 | // Determine the number of dimensions as well as sanity check them |
| 3861 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3862 | for (auto && tensorInfo : inputTensorInfos) |
| 3863 | { |
| 3864 | if (!nDimensions) |
| 3865 | { |
| 3866 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 3867 | } |
| 3868 | else |
| 3869 | { |
| 3870 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 3871 | "Input shapes must have the same number of dimensions"); |
| 3872 | } |
| 3873 | } |
| 3874 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3875 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3876 | } |
| 3877 | |
| 3878 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 3879 | { |
| 3880 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 3881 | if (numDims >= 3) |
| 3882 | { |
| 3883 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 3884 | return inputShape; |
| 3885 | } |
| 3886 | |
| 3887 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 3888 | unsigned int expandedBy = 3 - numDims; |
| 3889 | for (unsigned int i=0; i<numDims; ++i) |
| 3890 | { |
| 3891 | newDims[expandedBy+i] = inputShape[i]; |
| 3892 | } |
| 3893 | return armnn::TensorShape(3u, &newDims[0]); |
| 3894 | } |
| 3895 | |
| 3896 | void Generate3dPermuteVectorForConcat( |
| 3897 | unsigned int numDimensions, |
| 3898 | unsigned int & concatDim, |
| 3899 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 3900 | { |
| 3901 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 3902 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3903 | unsigned int expandedBy = 3 - numDimensions; |
| 3904 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 3905 | |
| 3906 | if (expandedConcatAxis == 2) |
| 3907 | { |
| 3908 | concatDim = 0; |
| 3909 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 3910 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 3911 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3912 | } |
| 3913 | else if (expandedConcatAxis == 1) |
| 3914 | { |
| 3915 | concatDim = 0; |
| 3916 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 3917 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 3918 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3919 | } |
| 3920 | else |
| 3921 | { |
| 3922 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 3923 | concatDim = 0; |
| 3924 | } |
| 3925 | } |
| 3926 | |
| 3927 | // |
| 3928 | // Permute the input tensors so we can do a supported concatenation. |
| 3929 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 3930 | // at the front. Finally this function tells what the output shape |
| 3931 | // of the permuted concatenated tensor is going to be. |
| 3932 | // |
| 3933 | template <typename T> |
| 3934 | void PermuteInputsForConcat( |
| 3935 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3936 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3937 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3938 | std::vector<T *> & inputData, |
| 3939 | std::vector<std::vector<T>> & inputDataStorage, |
| 3940 | armnn::PermutationVector & permuteVector, |
| 3941 | unsigned int & concatDim, |
| 3942 | armnn::TensorInfo & outputTensorInfo) |
| 3943 | { |
| 3944 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 3945 | "Expecting more than one tensor to be concatenated here"); |
| 3946 | |
| 3947 | unsigned int numDims = 0; |
| 3948 | unsigned int nthInput = 0; |
| 3949 | const armnn::PermutationVector identity({0, 1, 2}); |
| 3950 | |
| 3951 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 3952 | std::make_pair(identity, identity); |
| 3953 | |
| 3954 | inputDataStorage.resize(inputData.size()); |
| 3955 | |
| 3956 | for (auto && tensorInfo : inputTensorInfos) |
| 3957 | { |
| 3958 | if (numDims == 0) |
| 3959 | { |
| 3960 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 3961 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3962 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3963 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3964 | permuteVector = permutations.second; |
| 3965 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 3966 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 3967 | } |
| 3968 | else |
| 3969 | { |
| 3970 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 3971 | "All inputs must have the same number of dimensions"); |
| 3972 | } |
| 3973 | |
| 3974 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 3975 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 3976 | |
| 3977 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3978 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3979 | permutations.first, |
| 3980 | newTensorInfo, |
| 3981 | inputData[nthInput], |
| 3982 | inputDataStorage[nthInput]); |
| 3983 | |
| 3984 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 3985 | inputTensorInfos[nthInput] = newTensorInfo; |
| 3986 | |
| 3987 | ++nthInput; |
| 3988 | } |
| 3989 | |
| 3990 | outputTensorInfo.SetShape( |
| 3991 | armnnUtils::Permuted( |
| 3992 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 3993 | permutations.first)); |
| 3994 | } |
| 3995 | |
| 3996 | |
| 3997 | // |
| 3998 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3999 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4000 | // output. |
| 4001 | // |
| 4002 | template <typename T> |
| 4003 | void PermuteOutputForConcat( |
| 4004 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4005 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4006 | const armnn::TensorInfo & tensorInfo, |
| 4007 | const armnn::PermutationVector & permuteVector, |
| 4008 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 4009 | T * data) |
| 4010 | { |
| 4011 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 4012 | if (data == nullptr) |
| 4013 | { |
| 4014 | // Nullptr is an error in the test. By returning without doing the permutation |
| 4015 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4016 | // an assert for Debug builds. |
| 4017 | return; |
| 4018 | } |
| 4019 | |
| 4020 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 4021 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 4022 | std::vector<T> outputData; |
| 4023 | |
| 4024 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 4025 | |
| 4026 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4027 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4028 | permuteVector, |
| 4029 | resultTensorInfo, |
| 4030 | &inputData[0], |
| 4031 | outputData); |
| 4032 | |
| 4033 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 4034 | } |
| 4035 | |
| 4036 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4037 | void Concatenate( |
| 4038 | armnn::IWorkloadFactory& workloadFactory, |
| 4039 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4040 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 4041 | std::initializer_list<T *> inputsOrig, |
| 4042 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 4043 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4044 | unsigned int concatDim, |
| 4045 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4046 | { |
| 4047 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 4048 | if (output == nullptr) |
| 4049 | { |
| 4050 | // Nullptr is an error in the test. By returning without doing the permutation |
| 4051 | // I expect the caller to fail the test. It still makes sense to report this as |
| 4052 | // an assert for Debug builds. |
| 4053 | return; |
| 4054 | } |
| 4055 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4056 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4057 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 4058 | std::vector<T *> inputs = inputsOrig; |
| 4059 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 4060 | |
| 4061 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 4062 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4063 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4064 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 4065 | |
| 4066 | const size_t inputCount = inputTensorInfos.size(); |
| 4067 | |
| 4068 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 4069 | |
| 4070 | if (needPermuteForConcat) |
| 4071 | { |
| 4072 | // |
| 4073 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4074 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4075 | // |
| 4076 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4077 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4078 | inputTensorInfos, |
| 4079 | inputs, |
| 4080 | tmpInputDataStorage, |
| 4081 | permuteVector, |
| 4082 | concatDim, |
| 4083 | outputTensorInfo); |
| 4084 | } |
| 4085 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4086 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4087 | |
| 4088 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 4089 | inputHandles.reserve(inputCount); |
| 4090 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4091 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4092 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 4093 | armnn::ConcatQueueDescriptor queueDescriptor; |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 4094 | armnn::OriginsDescriptor viewsDescriptor = CreateDescriptorForConcatenation(inputTensorInfos, concatDim); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4095 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 4096 | |
| 4097 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4098 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4099 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 4100 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 4101 | { |
| 4102 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 4103 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 4104 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4105 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4106 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4107 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4108 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 4109 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4110 | { |
| 4111 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 4112 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 4113 | subTensorsSupported ? |
| 4114 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 4115 | inputTensorInfo.GetShape(), |
| 4116 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 4117 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4118 | |
| 4119 | inputHandles.emplace_back(std::move(inputHandle)); |
| 4120 | } |
| 4121 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4122 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4123 | else |
| 4124 | { |
| 4125 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4126 | { |
| 4127 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 4128 | inputHandles.emplace_back(std::move(inputHandle)); |
| 4129 | } |
| 4130 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4131 | |
| 4132 | for (unsigned int i = 0; i < inputCount; ++i) |
| 4133 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4134 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4135 | } |
| 4136 | |
| 4137 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 4138 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 4139 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(queueDescriptor, workloadInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4140 | |
| 4141 | for (auto& inputHandle : inputHandles) |
| 4142 | { |
| 4143 | inputHandle->Allocate(); |
| 4144 | } |
| 4145 | |
| 4146 | outputHandle->Allocate(); |
| 4147 | |
| 4148 | unsigned int nextInputId = 0; |
| 4149 | for (auto& inputHandle : inputHandles) |
| 4150 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4151 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 4152 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4153 | } |
| 4154 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 4155 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4156 | workload->Execute(); |
| 4157 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4158 | if (needPermuteForConcat) |
| 4159 | { |
| 4160 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4161 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4162 | outputTensorInfo, |
| 4163 | permuteVector, |
| 4164 | std::move(outputHandle), |
| 4165 | output); |
| 4166 | } |
| 4167 | else |
| 4168 | { |
| 4169 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 4170 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4171 | } |
| 4172 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4173 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4174 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 4175 | armnn::IWorkloadFactory& workloadFactory, |
| 4176 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4177 | float qScale, |
| 4178 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4179 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4180 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4181 | |
| 4182 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 4183 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 4184 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 4185 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4186 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4187 | |
| 4188 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 4189 | |
| 4190 | std::vector<T> output; |
| 4191 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4192 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4193 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4194 | { input0.data(), input1.data(), input2.data() }, |
| 4195 | outputTensorInfo, |
| 4196 | output.data(), |
| 4197 | 0, |
| 4198 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4199 | |
| 4200 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 4201 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4202 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 4203 | })); |
| 4204 | |
| 4205 | return result; |
| 4206 | } |
| 4207 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4208 | LayerTestResult<float, 1> Concatenation1dTest( |
| 4209 | armnn::IWorkloadFactory& workloadFactory, |
| 4210 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4211 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4212 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4213 | } |
| 4214 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4215 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4216 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 4217 | armnn::IWorkloadFactory& workloadFactory, |
| 4218 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4219 | const armnn::TensorInfo& outputTensorInfo, |
| 4220 | unsigned int dimension, |
| 4221 | const float qScale, |
| 4222 | const int32_t qOffset) |
| 4223 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4224 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4225 | |
| 4226 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4227 | // Batch 0 |
| 4228 | 1.0f, 2.0f, 3.0f, |
| 4229 | |
| 4230 | // Batch 1 |
| 4231 | 10.0f, 11.0f, 12.0f, |
| 4232 | })); |
| 4233 | |
| 4234 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4235 | // Batch 0 |
| 4236 | 4.0f, 5.0f, 6.0f, |
| 4237 | |
| 4238 | // Batch 1 |
| 4239 | 13.0f, 14.0f, 15.0f, |
| 4240 | })); |
| 4241 | |
| 4242 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4243 | // Batch 0 |
| 4244 | 7.0f, 8.0f, 9.0f, |
| 4245 | |
| 4246 | // Batch 1 |
| 4247 | 16.0f, 17.0f, 18.0f, |
| 4248 | })); |
| 4249 | |
| 4250 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4251 | |
| 4252 | std::vector<T> output; |
| 4253 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4254 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4255 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4256 | { input0.data(), input1.data(), input2.data() }, |
| 4257 | outputTensorInfo, |
| 4258 | output.data(), |
| 4259 | dimension, |
| 4260 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4261 | |
| 4262 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4263 | return result; |
| 4264 | } |
| 4265 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4266 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4267 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 4268 | armnn::IWorkloadFactory& workloadFactory, |
| 4269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4270 | float qScale, |
| 4271 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4272 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4273 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4274 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4275 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4276 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 4277 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4278 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4279 | // Batch 0 |
| 4280 | 1.0f, 2.0f, 3.0f, |
| 4281 | |
| 4282 | // Batch 1 |
| 4283 | 10.0f, 11.0f, 12.0f, |
| 4284 | |
| 4285 | // Batch 2 |
| 4286 | 4.0f, 5.0f, 6.0f, |
| 4287 | |
| 4288 | // Batch 3 |
| 4289 | 13.0f, 14.0f, 15.0f, |
| 4290 | |
| 4291 | // Batch 4 |
| 4292 | 7.0f, 8.0f, 9.0f, |
| 4293 | |
| 4294 | // Batch 5 |
| 4295 | 16.0f, 17.0f, 18.0f, |
| 4296 | })); |
| 4297 | |
| 4298 | return result; |
| 4299 | } |
| 4300 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4301 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 4302 | armnn::IWorkloadFactory& workloadFactory, |
| 4303 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4304 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4305 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4306 | } |
| 4307 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4308 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4309 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 4310 | armnn::IWorkloadFactory& workloadFactory, |
| 4311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4312 | float qScale, |
| 4313 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4314 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4315 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4316 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4317 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4318 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 4319 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4320 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4321 | // Batch 0 |
| 4322 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 4323 | |
| 4324 | // Batch 1 |
| 4325 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 4326 | })); |
| 4327 | |
| 4328 | return result; |
| 4329 | } |
| 4330 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4331 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 4332 | armnn::IWorkloadFactory& workloadFactory, |
| 4333 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4334 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4335 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4336 | } |
| 4337 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4338 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4339 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 4340 | armnn::IWorkloadFactory& workloadFactory, |
| 4341 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4342 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4343 | int32_t qOffset) |
| 4344 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4345 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4346 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4347 | // Batch 0 |
| 4348 | 1.0f, 2.0f, 3.0f, |
| 4349 | |
| 4350 | // Batch 1 |
| 4351 | 10.0f, 11.0f, 12.0f, |
| 4352 | })); |
| 4353 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4354 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4355 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4356 | // Batch 0 |
| 4357 | 4.0f, 5.0f, 6.0f, |
| 4358 | |
| 4359 | // Batch 1 |
| 4360 | 13.0f, 14.0f, 15.0f, |
| 4361 | |
| 4362 | // Batch 0 |
| 4363 | 7.0f, 8.0f, 9.0f, |
| 4364 | })); |
| 4365 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4366 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4367 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4368 | // Batch 1 |
| 4369 | 16.0f, 17.0f, 18.0f, |
| 4370 | })); |
| 4371 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4372 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4373 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4374 | |
| 4375 | std::vector<T> output; |
| 4376 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4377 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4378 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4379 | { input0.data(), input1.data(), input2.data() }, |
| 4380 | outputTensorInfo, |
| 4381 | output.data(), |
| 4382 | 0, |
| 4383 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4384 | |
| 4385 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4386 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4387 | // Batch 0 |
| 4388 | 1.0f, 2.0f, 3.0f, |
| 4389 | |
| 4390 | // Batch 1 |
| 4391 | 10.0f, 11.0f, 12.0f, |
| 4392 | |
| 4393 | // Batch 2 |
| 4394 | 4.0f, 5.0f, 6.0f, |
| 4395 | |
| 4396 | // Batch 3 |
| 4397 | 13.0f, 14.0f, 15.0f, |
| 4398 | |
| 4399 | // Batch 4 |
| 4400 | 7.0f, 8.0f, 9.0f, |
| 4401 | |
| 4402 | // Batch 5 |
| 4403 | 16.0f, 17.0f, 18.0f, |
| 4404 | })); |
| 4405 | |
| 4406 | return result; |
| 4407 | } |
| 4408 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4409 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 4410 | armnn::IWorkloadFactory& workloadFactory, |
| 4411 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4412 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4413 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4414 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4415 | } |
| 4416 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4417 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4418 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 4419 | armnn::IWorkloadFactory& workloadFactory, |
| 4420 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4421 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4422 | int32_t qOffset) |
| 4423 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4424 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4425 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4426 | // Batch 0 |
| 4427 | 1.0f, 2.0f, 3.0f, |
| 4428 | |
| 4429 | // Batch 1 |
| 4430 | 10.0f, 11.0f, 12.0f, |
| 4431 | })); |
| 4432 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4433 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4434 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4435 | // Batch 0 |
| 4436 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 4437 | |
| 4438 | // Batch 1 |
| 4439 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 4440 | })); |
| 4441 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4442 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4443 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4444 | // Batch 0 |
| 4445 | 9.0f, |
| 4446 | |
| 4447 | // Batch 1 |
| 4448 | 18.0f |
| 4449 | })); |
| 4450 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4451 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4452 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4453 | |
| 4454 | std::vector<T> output; |
| 4455 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4456 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4457 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4458 | { input0.data(), input1.data(), input2.data() }, |
| 4459 | outputTensorInfo, |
| 4460 | output.data(), |
| 4461 | 1, |
| 4462 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4463 | |
| 4464 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4465 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4466 | // Batch 0 |
| 4467 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 4468 | |
| 4469 | // Batch 1 |
| 4470 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 4471 | })); |
| 4472 | |
| 4473 | return result; |
| 4474 | } |
| 4475 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4476 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 4477 | armnn::IWorkloadFactory& workloadFactory, |
| 4478 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4479 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4480 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4481 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4482 | } |
| 4483 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4484 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4485 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 4486 | armnn::IWorkloadFactory& workloadFactory, |
| 4487 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4488 | const armnn::TensorInfo& outputTensorInfo, |
| 4489 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4490 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4491 | float qScale, |
| 4492 | int32_t qOffset) |
| 4493 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4494 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4495 | |
| 4496 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4497 | // Batch 0, Channel 0 |
| 4498 | 1.0f, 2.0f, |
| 4499 | |
| 4500 | // Batch 0, Channel 1 |
| 4501 | 3.0f, 4.0f, |
| 4502 | |
| 4503 | // Batch 0, Channel 2 |
| 4504 | 5.0f, 6.0f, |
| 4505 | |
| 4506 | // Batch 1, Channel 0 |
| 4507 | 19.0f, 20.0f, |
| 4508 | |
| 4509 | // Batch 1, Channel 1 |
| 4510 | 21.0f, 22.0f, |
| 4511 | |
| 4512 | // Batch 1, Channel 2 |
| 4513 | 23.0f, 24.0f |
| 4514 | })); |
| 4515 | |
| 4516 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4517 | // Batch 0, Channel 0 |
| 4518 | 7.0f, 8.0f, |
| 4519 | |
| 4520 | // Batch 0, Channel 1 |
| 4521 | 9.0f, 10.0f, |
| 4522 | |
| 4523 | // Batch 0, Channel 2 |
| 4524 | 11.0f, 12.0f, |
| 4525 | |
| 4526 | // Batch 1, Channel 0 |
| 4527 | 25.0f, 26.0f, |
| 4528 | |
| 4529 | // Batch 1, Channel 1 |
| 4530 | 27.0f, 28.0f, |
| 4531 | |
| 4532 | // Batch 1, Channel 2 |
| 4533 | 29.0f, 30.0f |
| 4534 | })); |
| 4535 | |
| 4536 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4537 | // Batch 0, Channel 0 |
| 4538 | 13.0f, 14.0f, |
| 4539 | |
| 4540 | // Batch 0, Channel 1 |
| 4541 | 15.0f, 16.0f, |
| 4542 | |
| 4543 | // Batch 0, Channel 2 |
| 4544 | 17.0f, 18.0f, |
| 4545 | |
| 4546 | // Batch 1, Channel 0 |
| 4547 | 31.0f, 32.0f, |
| 4548 | |
| 4549 | // Batch 1, Channel 1 |
| 4550 | 33.0f, 34.0f, |
| 4551 | |
| 4552 | // Batch 1, Channel 2 |
| 4553 | 35.0f, 36.0f |
| 4554 | })); |
| 4555 | |
| 4556 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4557 | |
| 4558 | std::vector<T> output; |
| 4559 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4560 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4561 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4562 | { input0.data(), input1.data(), input2.data() }, |
| 4563 | outputTensorInfo, |
| 4564 | output.data(), |
| 4565 | dimension, |
| 4566 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4567 | |
| 4568 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4569 | return result; |
| 4570 | } |
| 4571 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4572 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4573 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 4574 | armnn::IWorkloadFactory& workloadFactory, |
| 4575 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4576 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4577 | int32_t qOffset) |
| 4578 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4579 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4580 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4581 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4582 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4583 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4584 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4585 | // Batch 0, Channel 0 |
| 4586 | 1.0f, 2.0f, |
| 4587 | |
| 4588 | // Batch 0, Channel 1 |
| 4589 | 3.0f, 4.0f, |
| 4590 | |
| 4591 | // Batch 0, Channel 2 |
| 4592 | 5.0f, 6.0f, |
| 4593 | |
| 4594 | // Batch 1, Channel 0 |
| 4595 | 19.0f, 20.0f, |
| 4596 | |
| 4597 | // Batch 1, Channel 1 |
| 4598 | 21.0f, 22.0f, |
| 4599 | |
| 4600 | // Batch 1, Channel 2 |
| 4601 | 23.0f, 24.0f, |
| 4602 | |
| 4603 | // Batch 2, Channel 0 |
| 4604 | 7.0f, 8.0f, |
| 4605 | |
| 4606 | // Batch 2, Channel 1 |
| 4607 | 9.0f, 10.0f, |
| 4608 | |
| 4609 | // Batch 2, Channel 2 |
| 4610 | 11.0f, 12.0f, |
| 4611 | |
| 4612 | // Batch 3, Channel 0 |
| 4613 | 25.0f, 26.0f, |
| 4614 | |
| 4615 | // Batch 3, Channel 1 |
| 4616 | 27.0f, 28.0f, |
| 4617 | |
| 4618 | // Batch 3, Channel 2 |
| 4619 | 29.0f, 30.0f, |
| 4620 | |
| 4621 | // Batch 4, Channel 0 |
| 4622 | 13.0f, 14.0f, |
| 4623 | |
| 4624 | // Batch 4, Channel 1 |
| 4625 | 15.0f, 16.0f, |
| 4626 | |
| 4627 | // Batch 4, Channel 2 |
| 4628 | 17.0f, 18.0f, |
| 4629 | |
| 4630 | // Batch 5, Channel 0 |
| 4631 | 31.0f, 32.0f, |
| 4632 | |
| 4633 | // Batch 5, Channel 1 |
| 4634 | 33.0f, 34.0f, |
| 4635 | |
| 4636 | // Batch 5, Channel 2 |
| 4637 | 35.0f, 36.0f |
| 4638 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4639 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4640 | return result; |
| 4641 | } |
| 4642 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4643 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 4644 | armnn::IWorkloadFactory& workloadFactory, |
| 4645 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4646 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4647 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4648 | } |
| 4649 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4650 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4651 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 4652 | armnn::IWorkloadFactory& workloadFactory, |
| 4653 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4654 | float qScale, |
| 4655 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4656 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4657 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4658 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4659 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4660 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4661 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4662 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4663 | // Batch 0, Channel 0 |
| 4664 | 1.0f, 2.0f, |
| 4665 | |
| 4666 | // Batch 0, Channel 1 |
| 4667 | 3.0f, 4.0f, |
| 4668 | |
| 4669 | // Batch 0, Channel 2 |
| 4670 | 5.0f, 6.0f, |
| 4671 | |
| 4672 | // Batch 0, Channel 3 |
| 4673 | 7.0f, 8.0f, |
| 4674 | |
| 4675 | // Batch 0, Channel 4 |
| 4676 | 9.0f, 10.0f, |
| 4677 | |
| 4678 | // Batch 0, Channel 5 |
| 4679 | 11.0f, 12.0f, |
| 4680 | |
| 4681 | // Batch 0, Channel 6 |
| 4682 | 13.0f, 14.0f, |
| 4683 | |
| 4684 | // Batch 0, Channel 7 |
| 4685 | 15.0f, 16.0f, |
| 4686 | |
| 4687 | // Batch 0, Channel 8 |
| 4688 | 17.0f, 18.0f, |
| 4689 | |
| 4690 | // Batch 1, Channel 0 |
| 4691 | 19.0f, 20.0f, |
| 4692 | |
| 4693 | // Batch 1, Channel 1 |
| 4694 | 21.0f, 22.0f, |
| 4695 | |
| 4696 | // Batch 1, Channel 2 |
| 4697 | 23.0f, 24.0f, |
| 4698 | |
| 4699 | // Batch 1, Channel 3 |
| 4700 | 25.0f, 26.0f, |
| 4701 | |
| 4702 | // Batch 1, Channel 4 |
| 4703 | 27.0f, 28.0f, |
| 4704 | |
| 4705 | // Batch 1, Channel 5 |
| 4706 | 29.0f, 30.0f, |
| 4707 | |
| 4708 | // Batch 1, Channel 6 |
| 4709 | 31.0f, 32.0f, |
| 4710 | |
| 4711 | // Batch 1, Channel 7 |
| 4712 | 33.0f, 34.0f, |
| 4713 | |
| 4714 | // Batch 1, Channel 8 |
| 4715 | 35.0f, 36.0f |
| 4716 | })); |
| 4717 | |
| 4718 | return result; |
| 4719 | } |
| 4720 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4721 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 4722 | armnn::IWorkloadFactory& workloadFactory, |
| 4723 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4724 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4725 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4726 | } |
| 4727 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4728 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4729 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 4730 | armnn::IWorkloadFactory& workloadFactory, |
| 4731 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4732 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4733 | float qScale, |
| 4734 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4735 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4736 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4737 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4738 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4739 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4740 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4741 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4742 | // Batch 0, Channel 0 |
| 4743 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 4744 | |
| 4745 | // Batch 0, Channel 1 |
| 4746 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 4747 | |
| 4748 | // Batch 0, Channel 2 |
| 4749 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 4750 | |
| 4751 | // Batch 1, Channel 0 |
| 4752 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 4753 | |
| 4754 | // Batch 1, Channel 1 |
| 4755 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 4756 | |
| 4757 | // Batch 1, Channel 2 |
| 4758 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 4759 | })); |
| 4760 | |
| 4761 | return result; |
| 4762 | } |
| 4763 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4764 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 4765 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4766 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4767 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4768 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4769 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 4770 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4771 | } |
| 4772 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4773 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4774 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 4775 | armnn::IWorkloadFactory& workloadFactory, |
| 4776 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4777 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4778 | int32_t qOffset) |
| 4779 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4780 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4781 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4782 | // Batch 0, Channel 0 |
| 4783 | 1.0f, 2.0f, |
| 4784 | |
| 4785 | // Batch 0, Channel 1 |
| 4786 | 3.0f, 4.0f, |
| 4787 | |
| 4788 | // Batch 0, Channel 2 |
| 4789 | 5.0f, 6.0f, |
| 4790 | |
| 4791 | // Batch 1, Channel 0 |
| 4792 | 19.0f, 20.0f, |
| 4793 | |
| 4794 | // Batch 1, Channel 1 |
| 4795 | 21.0f, 22.0f, |
| 4796 | |
| 4797 | // Batch 1, Channel 2 |
| 4798 | 23.0f, 24.0f |
| 4799 | })); |
| 4800 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4801 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4802 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4803 | // Batch 0, Channel 0 |
| 4804 | 7.0f, 8.0f, |
| 4805 | |
| 4806 | // Batch 0, Channel 1 |
| 4807 | 9.0f, 10.0f, |
| 4808 | |
| 4809 | // Batch 0, Channel 2 |
| 4810 | 11.0f, 12.0f, |
| 4811 | })); |
| 4812 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4813 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4814 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4815 | // Batch 0, Channel 0 |
| 4816 | 25.0f, 26.0f, |
| 4817 | |
| 4818 | // Batch 0, Channel 1 |
| 4819 | 27.0f, 28.0f, |
| 4820 | |
| 4821 | // Batch 0, Channel 2 |
| 4822 | 29.0f, 30.0f, |
| 4823 | |
| 4824 | // Batch 1, Channel 0 |
| 4825 | 13.0f, 14.0f, |
| 4826 | |
| 4827 | // Batch 1, Channel 1 |
| 4828 | 15.0f, 16.0f, |
| 4829 | |
| 4830 | // Batch 1, Channel 2 |
| 4831 | 17.0f, 18.0f, |
| 4832 | |
| 4833 | // Batch 2, Channel 0 |
| 4834 | 31.0f, 32.0f, |
| 4835 | |
| 4836 | // Batch 2, Channel 1 |
| 4837 | 33.0f, 34.0f, |
| 4838 | |
| 4839 | // Batch 2, Channel 2 |
| 4840 | 35.0f, 36.0f |
| 4841 | })); |
| 4842 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4843 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4844 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4845 | |
| 4846 | std::vector<T> output; |
| 4847 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4848 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4849 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4850 | { input0.data(), input1.data(), input2.data() }, |
| 4851 | outputTensorInfo, |
| 4852 | output.data(), |
| 4853 | 0, |
| 4854 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4855 | |
| 4856 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4857 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4858 | // Batch 0, Channel 0 |
| 4859 | 1.0f, 2.0f, |
| 4860 | |
| 4861 | // Batch 0, Channel 1 |
| 4862 | 3.0f, 4.0f, |
| 4863 | |
| 4864 | // Batch 0, Channel 2 |
| 4865 | 5.0f, 6.0f, |
| 4866 | |
| 4867 | // Batch 1, Channel 0 |
| 4868 | 19.0f, 20.0f, |
| 4869 | |
| 4870 | // Batch 1, Channel 1 |
| 4871 | 21.0f, 22.0f, |
| 4872 | |
| 4873 | // Batch 1, Channel 2 |
| 4874 | 23.0f, 24.0f, |
| 4875 | |
| 4876 | // Batch 2, Channel 0 |
| 4877 | 7.0f, 8.0f, |
| 4878 | |
| 4879 | // Batch 2, Channel 1 |
| 4880 | 9.0f, 10.0f, |
| 4881 | |
| 4882 | // Batch 2, Channel 2 |
| 4883 | 11.0f, 12.0f, |
| 4884 | |
| 4885 | // Batch 3, Channel 0 |
| 4886 | 25.0f, 26.0f, |
| 4887 | |
| 4888 | // Batch 3, Channel 1 |
| 4889 | 27.0f, 28.0f, |
| 4890 | |
| 4891 | // Batch 3, Channel 2 |
| 4892 | 29.0f, 30.0f, |
| 4893 | |
| 4894 | // Batch 4, Channel 0 |
| 4895 | 13.0f, 14.0f, |
| 4896 | |
| 4897 | // Batch 4, Channel 1 |
| 4898 | 15.0f, 16.0f, |
| 4899 | |
| 4900 | // Batch 4, Channel 2 |
| 4901 | 17.0f, 18.0f, |
| 4902 | |
| 4903 | // Batch 5, Channel 0 |
| 4904 | 31.0f, 32.0f, |
| 4905 | |
| 4906 | // Batch 5, Channel 1 |
| 4907 | 33.0f, 34.0f, |
| 4908 | |
| 4909 | // Batch 5, Channel 2 |
| 4910 | 35.0f, 36.0f |
| 4911 | })); |
| 4912 | |
| 4913 | return result; |
| 4914 | } |
| 4915 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4916 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 4917 | armnn::IWorkloadFactory& workloadFactory, |
| 4918 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4919 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4920 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4921 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4922 | } |
| 4923 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4924 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4925 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 4926 | armnn::IWorkloadFactory& workloadFactory, |
| 4927 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4928 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4929 | int32_t qOffset) |
| 4930 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4931 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4932 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4933 | // Batch 0, Channel 0 |
| 4934 | 1.0f, 2.0f, |
| 4935 | |
| 4936 | // Batch 0, Channel 1 |
| 4937 | 3.0f, 4.0f, |
| 4938 | |
| 4939 | // Batch 0, Channel 2 |
| 4940 | 5.0f, 6.0f, |
| 4941 | |
| 4942 | // Batch 1, Channel 0 |
| 4943 | 19.0f, 20.0f, |
| 4944 | |
| 4945 | // Batch 1, Channel 1 |
| 4946 | 21.0f, 22.0f, |
| 4947 | |
| 4948 | // Batch 1, Channel 2 |
| 4949 | 23.0f, 24.0f |
| 4950 | })); |
| 4951 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4952 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4953 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4954 | // Batch 0, Channel 0 |
| 4955 | 7.0f, 8.0f, |
| 4956 | |
| 4957 | // Batch 0, Channel 1 |
| 4958 | 9.0f, 10.0f, |
| 4959 | |
| 4960 | // Batch 0, Channel 2 |
| 4961 | 11.0f, 12.0f, |
| 4962 | |
| 4963 | // Batch 0, Channel 3 |
| 4964 | 25.0f, 26.0f, |
| 4965 | |
| 4966 | // Batch 1, Channel 0 |
| 4967 | 27.0f, 28.0f, |
| 4968 | |
| 4969 | // Batch 1, Channel 1 |
| 4970 | 29.0f, 30.0f, |
| 4971 | |
| 4972 | // Batch 1, Channel 2 |
| 4973 | 13.0f, 14.0f, |
| 4974 | |
| 4975 | // Batch 1, Channel 3 |
| 4976 | 15.0f, 16.0f, |
| 4977 | })); |
| 4978 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4979 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4980 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4981 | // Batch 0, Channel 0 |
| 4982 | 17.0f, 18.0f, |
| 4983 | |
| 4984 | // Batch 1, Channel 0 |
| 4985 | 31.0f, 32.0f, |
| 4986 | })); |
| 4987 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4988 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4989 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4990 | |
| 4991 | std::vector<T> output; |
| 4992 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4993 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4994 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4995 | { input0.data(), input1.data(), input2.data() }, |
| 4996 | outputTensorInfo, |
| 4997 | output.data(), |
| 4998 | 1, |
| 4999 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5000 | |
| 5001 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5002 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5003 | // Batch 0, Channel 0 |
| 5004 | 1.0f, 2.0f, |
| 5005 | |
| 5006 | // Batch 0, Channel 1 |
| 5007 | 3.0f, 4.0f, |
| 5008 | |
| 5009 | // Batch 0, Channel 2 |
| 5010 | 5.0f, 6.0f, |
| 5011 | |
| 5012 | // Batch 0, Channel 3 |
| 5013 | 7.0f, 8.0f, |
| 5014 | |
| 5015 | // Batch 0, Channel 4 |
| 5016 | 9.0f, 10.0f, |
| 5017 | |
| 5018 | // Batch 0, Channel 5 |
| 5019 | 11.0f, 12.0f, |
| 5020 | |
| 5021 | // Batch 0, Channel 6 |
| 5022 | 25.0f, 26.0f, |
| 5023 | |
| 5024 | // Batch 0, Channel 7 |
| 5025 | 17.0f, 18.0f, |
| 5026 | |
| 5027 | // Batch 1, Channel 0 |
| 5028 | 19.0f, 20.0f, |
| 5029 | |
| 5030 | // Batch 1, Channel 1 |
| 5031 | 21.0f, 22.0f, |
| 5032 | |
| 5033 | // Batch 1, Channel 2 |
| 5034 | 23.0f, 24.0f, |
| 5035 | |
| 5036 | // Batch 1, Channel 3 |
| 5037 | 27.0f, 28.0f, |
| 5038 | |
| 5039 | // Batch 1, Channel 4 |
| 5040 | 29.0f, 30.0f, |
| 5041 | |
| 5042 | // Batch 1, Channel 5 |
| 5043 | 13.0f, 14.0f, |
| 5044 | |
| 5045 | // Batch 1, Channel 6 |
| 5046 | 15.0f, 16.0f, |
| 5047 | |
| 5048 | // Batch 1, Channel 7 |
| 5049 | 31.0f, 32.0f, |
| 5050 | })); |
| 5051 | |
| 5052 | return result; |
| 5053 | } |
| 5054 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5055 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 5056 | armnn::IWorkloadFactory& workloadFactory, |
| 5057 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5058 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5059 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5060 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5061 | } |
| 5062 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5063 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5064 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 5065 | armnn::IWorkloadFactory& workloadFactory, |
| 5066 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5067 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5068 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5069 | int32_t qOffset) |
| 5070 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5071 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5072 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5073 | // Batch 0, Channel 0 |
| 5074 | 1.0f, 2.0f, |
| 5075 | |
| 5076 | // Batch 0, Channel 1 |
| 5077 | 3.0f, 4.0f, |
| 5078 | |
| 5079 | // Batch 0, Channel 2 |
| 5080 | 5.0f, 6.0f, |
| 5081 | |
| 5082 | // Batch 1, Channel 0 |
| 5083 | 19.0f, 20.0f, |
| 5084 | |
| 5085 | // Batch 1, Channel 1 |
| 5086 | 21.0f, 22.0f, |
| 5087 | |
| 5088 | // Batch 1, Channel 2 |
| 5089 | 23.0f, 24.0f |
| 5090 | })); |
| 5091 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5092 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5093 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5094 | // Batch 0, Channel 0 |
| 5095 | 7.0f, |
| 5096 | |
| 5097 | // Batch 0, Channel 1 |
| 5098 | 9.0f, |
| 5099 | |
| 5100 | // Batch 0, Channel 2 |
| 5101 | 11.0f, |
| 5102 | |
| 5103 | // Batch 1, Channel 0 |
| 5104 | 25.0f, |
| 5105 | |
| 5106 | // Batch 1, Channel 1 |
| 5107 | 27.0f, |
| 5108 | |
| 5109 | // Batch 1, Channel 2 |
| 5110 | 29.0f |
| 5111 | })); |
| 5112 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5113 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5114 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5115 | // Batch 0, Channel 0 |
| 5116 | 13.0f, 14.0f, 50.0f, |
| 5117 | |
| 5118 | // Batch 0, Channel 1 |
| 5119 | 15.0f, 16.0f, 51.0f, |
| 5120 | |
| 5121 | // Batch 0, Channel 2 |
| 5122 | 17.0f, 18.0f, 52.0f, |
| 5123 | |
| 5124 | // Batch 1, Channel 0 |
| 5125 | 31.0f, 32.0f, 53.0f, |
| 5126 | |
| 5127 | // Batch 1, Channel 1 |
| 5128 | 33.0f, 34.0f, 54.0f, |
| 5129 | |
| 5130 | // Batch 1, Channel 2 |
| 5131 | 35.0f, 36.0f, 55.0f, |
| 5132 | })); |
| 5133 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5134 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5135 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5136 | |
| 5137 | std::vector<T> output; |
| 5138 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5139 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5140 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 5141 | { input0.data(), input1.data(), input2.data() }, |
| 5142 | outputTensorInfo, |
| 5143 | output.data(), |
| 5144 | 2, |
| 5145 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5146 | |
| 5147 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 5148 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5149 | // Batch 0, Channel 0 |
| 5150 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 5151 | |
| 5152 | // Batch 0, Channel 1 |
| 5153 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 5154 | |
| 5155 | // Batch 0, Channel 2 |
| 5156 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 5157 | |
| 5158 | // Batch 1, Channel 0 |
| 5159 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 5160 | |
| 5161 | // Batch 1, Channel 1 |
| 5162 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 5163 | |
| 5164 | // Batch 1, Channel 2 |
| 5165 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 5166 | })); |
| 5167 | |
| 5168 | return result; |
| 5169 | } |
| 5170 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5171 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 5172 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5174 | bool useSubtensor) |
| 5175 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5176 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 5177 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5178 | } |
| 5179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5180 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5181 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 5182 | armnn::IWorkloadFactory& workloadFactory, |
| 5183 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5184 | const armnn::TensorInfo& outputTensorInfo, |
| 5185 | unsigned int dimension, |
| 5186 | bool useSubtensor, |
| 5187 | float qScale, |
| 5188 | int32_t qOffset) |
| 5189 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5190 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5191 | |
| 5192 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5193 | 1.0f, 2.0f, |
| 5194 | 3.0f, 4.0f, |
| 5195 | 5.0f, 6.0f, |
| 5196 | 7.0f, 8.0f, |
| 5197 | 9.0f, 10.0f, |
| 5198 | 11.0f, 12.0f |
| 5199 | })); |
| 5200 | |
| 5201 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5202 | 11.0f, 12.0f, |
| 5203 | 13.0f, 14.0f, |
| 5204 | 15.0f, 16.0f, |
| 5205 | 17.0f, 18.0f, |
| 5206 | 19.0f, 20.0f, |
| 5207 | 21.0f, 22.0f |
| 5208 | })); |
| 5209 | |
| 5210 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5211 | 21.0f, 22.0f, |
| 5212 | 23.0f, 24.0f, |
| 5213 | 25.0f, 26.0f, |
| 5214 | 27.0f, 28.0f, |
| 5215 | 29.0f, 30.0f, |
| 5216 | 31.0f, 32.0f |
| 5217 | })); |
| 5218 | |
| 5219 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5220 | |
| 5221 | std::vector<T> output; |
| 5222 | output.resize(outputTensorInfo.GetNumElements()); |
| 5223 | |
| 5224 | Concatenate<T>(workloadFactory, |
| 5225 | memoryManager, |
| 5226 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 5227 | {input0.data(), input1.data(), input2.data()}, |
| 5228 | outputTensorInfo, |
| 5229 | output.data(), |
| 5230 | dimension, |
| 5231 | useSubtensor); |
| 5232 | |
| 5233 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5234 | return result; |
| 5235 | } |
| 5236 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5237 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5238 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 5239 | armnn::IWorkloadFactory& workloadFactory, |
| 5240 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5241 | float qScale, |
| 5242 | int32_t qOffset) |
| 5243 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5244 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5245 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5246 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5247 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 5248 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5249 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5250 | 1.0f, 2.0f, |
| 5251 | 3.0f, 4.0f, |
| 5252 | 5.0f, 6.0f, |
| 5253 | 7.0f, 8.0f, |
| 5254 | 9.0f, 10.0f, |
| 5255 | 11.0f, 12.0f, |
| 5256 | |
| 5257 | 11.0f, 12.0f, |
| 5258 | 13.0f, 14.0f, |
| 5259 | 15.0f, 16.0f, |
| 5260 | 17.0f, 18.0f, |
| 5261 | 19.0f, 20.0f, |
| 5262 | 21.0f, 22.0f, |
| 5263 | |
| 5264 | 21.0f, 22.0f, |
| 5265 | 23.0f, 24.0f, |
| 5266 | 25.0f, 26.0f, |
| 5267 | 27.0f, 28.0f, |
| 5268 | 29.0f, 30.0f, |
| 5269 | 31.0f, 32.0f |
| 5270 | })); |
| 5271 | return result; |
| 5272 | } |
| 5273 | |
| 5274 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 5275 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5276 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5277 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5278 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5279 | } |
| 5280 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5281 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5282 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 5283 | armnn::IWorkloadFactory& workloadFactory, |
| 5284 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5285 | float qScale, |
| 5286 | int32_t qOffset) |
| 5287 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5288 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5289 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5290 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5291 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 5292 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5293 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5294 | 1.0f, 2.0f, |
| 5295 | 3.0f, 4.0f, |
| 5296 | 5.0f, 6.0f, |
| 5297 | 7.0f, 8.0f, |
| 5298 | 9.0f, 10.0f, |
| 5299 | 11.0f, 12.0f, |
| 5300 | |
| 5301 | 11.0f, 12.0f, |
| 5302 | 13.0f, 14.0f, |
| 5303 | 15.0f, 16.0f, |
| 5304 | 17.0f, 18.0f, |
| 5305 | 19.0f, 20.0f, |
| 5306 | 21.0f, 22.0f, |
| 5307 | |
| 5308 | 21.0f, 22.0f, |
| 5309 | 23.0f, 24.0f, |
| 5310 | 25.0f, 26.0f, |
| 5311 | 27.0f, 28.0f, |
| 5312 | 29.0f, 30.0f, |
| 5313 | 31.0f, 32.0f |
| 5314 | })); |
| 5315 | |
| 5316 | return result; |
| 5317 | } |
| 5318 | |
| 5319 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 5320 | armnn::IWorkloadFactory& workloadFactory, |
| 5321 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5322 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5323 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5324 | } |
| 5325 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5326 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5327 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 5328 | armnn::IWorkloadFactory& workloadFactory, |
| 5329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5330 | float qScale, |
| 5331 | int32_t qOffset) |
| 5332 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5333 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5334 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5335 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5336 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 5337 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5338 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5339 | 1.0f, 2.0f, |
| 5340 | 3.0f, 4.0f, |
| 5341 | 11.0f, 12.0f, |
| 5342 | 13.0f, 14.0f, |
| 5343 | 21.0f, 22.0f, |
| 5344 | 23.0f, 24.0f, |
| 5345 | |
| 5346 | 5.0f, 6.0f, |
| 5347 | 7.0f, 8.0f, |
| 5348 | 15.0f, 16.0f, |
| 5349 | 17.0f, 18.0f, |
| 5350 | 25.0f, 26.0f, |
| 5351 | 27.0f, 28.0f, |
| 5352 | |
| 5353 | 9.0f, 10.0f, |
| 5354 | 11.0f, 12.0f, |
| 5355 | 19.0f, 20.0f, |
| 5356 | 21.0f, 22.0f, |
| 5357 | 29.0f, 30.0f, |
| 5358 | 31.0f, 32.0f |
| 5359 | })); |
| 5360 | |
| 5361 | return result; |
| 5362 | } |
| 5363 | |
| 5364 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 5365 | armnn::IWorkloadFactory& workloadFactory, |
| 5366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5367 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5368 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5369 | } |
| 5370 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5371 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5372 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 5373 | armnn::IWorkloadFactory& workloadFactory, |
| 5374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5375 | float qScale, |
| 5376 | int32_t qOffset, |
| 5377 | bool useSubtensor) |
| 5378 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5379 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5380 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5381 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5382 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 5383 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5384 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5385 | 1.0f, 2.0f, |
| 5386 | 11.0f, 12.0f, |
| 5387 | 21.0f, 22.0f, |
| 5388 | 3.0f, 4.0f, |
| 5389 | 13.0f, 14.0f, |
| 5390 | 23.0f, 24.0f, |
| 5391 | |
| 5392 | 5.0f, 6.0f, |
| 5393 | 15.0f, 16.0f, |
| 5394 | 25.0f, 26.0f, |
| 5395 | 7.0f, 8.0f, |
| 5396 | 17.0f, 18.0f, |
| 5397 | 27.0f, 28.0f, |
| 5398 | |
| 5399 | 9.0f, 10.0f, |
| 5400 | 19.0f, 20.0f, |
| 5401 | 29.0f, 30.0f, |
| 5402 | 11.0f, 12.0f, |
| 5403 | 21.0f, 22.0f, |
| 5404 | 31.0f, 32.0f |
| 5405 | })); |
| 5406 | |
| 5407 | return result; |
| 5408 | } |
| 5409 | |
| 5410 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 5411 | armnn::IWorkloadFactory& workloadFactory, |
| 5412 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5413 | bool useSubtensor) |
| 5414 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5415 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 5416 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5417 | } |
| 5418 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5419 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5420 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 5421 | armnn::IWorkloadFactory& workloadFactory, |
| 5422 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5423 | float qScale, |
| 5424 | int32_t qOffset) |
| 5425 | { |
| 5426 | unsigned int dimension = 0; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5427 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5428 | |
| 5429 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5430 | 1.0f, 2.0f, |
| 5431 | 3.0f, 4.0f, |
| 5432 | 5.0f, 6.0f, |
| 5433 | 7.0f, 8.0f, |
| 5434 | 9.0f, 10.0f, |
| 5435 | 11.0f, 12.0f |
| 5436 | })); |
| 5437 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5438 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5439 | |
| 5440 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5441 | 11.0f, 12.0f, |
| 5442 | 13.0f, 14.0f, |
| 5443 | 15.0f, 16.0f, |
| 5444 | 17.0f, 18.0f, |
| 5445 | 19.0f, 20.0f, |
| 5446 | 21.0f, 22.0f, |
| 5447 | |
| 5448 | 21.0f, 22.0f, |
| 5449 | 23.0f, 24.0f, |
| 5450 | 25.0f, 26.0f, |
| 5451 | 27.0f, 28.0f, |
| 5452 | 29.0f, 30.0f, |
| 5453 | 31.0f, 32.0f |
| 5454 | |
| 5455 | })); |
| 5456 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5457 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5458 | |
| 5459 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5460 | |
| 5461 | std::vector<T> output; |
| 5462 | output.resize(outputTensorInfo.GetNumElements()); |
| 5463 | Concatenate<T>(workloadFactory, |
| 5464 | memoryManager, |
| 5465 | {inputTensorInfo0, inputTensorInfo1}, |
| 5466 | {input0.data(), input1.data()}, |
| 5467 | outputTensorInfo, |
| 5468 | output.data(), |
| 5469 | dimension, |
| 5470 | true); |
| 5471 | |
| 5472 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5473 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5474 | 1.0f, 2.0f, |
| 5475 | 3.0f, 4.0f, |
| 5476 | 5.0f, 6.0f, |
| 5477 | 7.0f, 8.0f, |
| 5478 | 9.0f, 10.0f, |
| 5479 | 11.0f, 12.0f, |
| 5480 | |
| 5481 | 11.0f, 12.0f, |
| 5482 | 13.0f, 14.0f, |
| 5483 | 15.0f, 16.0f, |
| 5484 | 17.0f, 18.0f, |
| 5485 | 19.0f, 20.0f, |
| 5486 | 21.0f, 22.0f, |
| 5487 | |
| 5488 | 21.0f, 22.0f, |
| 5489 | 23.0f, 24.0f, |
| 5490 | 25.0f, 26.0f, |
| 5491 | 27.0f, 28.0f, |
| 5492 | 29.0f, 30.0f, |
| 5493 | 31.0f, 32.0f |
| 5494 | })); |
| 5495 | |
| 5496 | return result; |
| 5497 | } |
| 5498 | |
| 5499 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 5500 | armnn::IWorkloadFactory& workloadFactory, |
| 5501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5502 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5503 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 5504 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5505 | } |
| 5506 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5507 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5508 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 5509 | armnn::IWorkloadFactory& workloadFactory, |
| 5510 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5511 | float qScale, |
| 5512 | int32_t qOffset) |
| 5513 | { |
| 5514 | unsigned int dimension = 1; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5515 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5516 | |
| 5517 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5518 | 1.0f, 2.0f, |
| 5519 | 3.0f, 4.0f, |
| 5520 | 5.0f, 6.0f, |
| 5521 | 7.0f, 8.0f, |
| 5522 | 9.0f, 10.0f, |
| 5523 | 11.0f, 12.0f |
| 5524 | })); |
| 5525 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5526 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5527 | |
| 5528 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5529 | 11.0f, 12.0f, |
| 5530 | 13.0f, 14.0f, |
| 5531 | 15.0f, 16.0f, |
| 5532 | 17.0f, 18.0f, |
| 5533 | |
| 5534 | })); |
| 5535 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5536 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5537 | |
| 5538 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5539 | |
| 5540 | std::vector<T> output; |
| 5541 | output.resize(outputTensorInfo.GetNumElements()); |
| 5542 | Concatenate<T>(workloadFactory, |
| 5543 | memoryManager, |
| 5544 | {inputTensorInfo0, inputTensorInfo1}, |
| 5545 | {input0.data(), input1.data()}, |
| 5546 | outputTensorInfo, |
| 5547 | output.data(), |
| 5548 | dimension, |
| 5549 | true); |
| 5550 | |
| 5551 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5552 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5553 | 1.0f, 2.0f, |
| 5554 | 3.0f, 4.0f, |
| 5555 | 5.0f, 6.0f, |
| 5556 | 7.0f, 8.0f, |
| 5557 | 9.0f, 10.0f, |
| 5558 | 11.0f, 12.0f, |
| 5559 | 11.0f, 12.0f, |
| 5560 | 13.0f, 14.0f, |
| 5561 | 15.0f, 16.0f, |
| 5562 | 17.0f, 18.0f |
| 5563 | })); |
| 5564 | |
| 5565 | return result; |
| 5566 | } |
| 5567 | |
| 5568 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 5569 | armnn::IWorkloadFactory& workloadFactory, |
| 5570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5571 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5572 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 5573 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5574 | } |
| 5575 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5576 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5577 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 5578 | armnn::IWorkloadFactory& workloadFactory, |
| 5579 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5580 | float qScale, |
| 5581 | int32_t qOffset) |
| 5582 | { |
| 5583 | unsigned int dimension = 2; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5584 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5585 | |
| 5586 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5587 | 1.0f, 2.0f, |
| 5588 | 3.0f, 4.0f, |
| 5589 | 5.0f, 6.0f, |
| 5590 | 7.0f, 8.0f, |
| 5591 | 9.0f, 10.0f, |
| 5592 | 11.0f, 12.0f |
| 5593 | })); |
| 5594 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5595 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5596 | |
| 5597 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5598 | 11.0f, 12.0f, |
| 5599 | 13.0f, 14.0f, |
| 5600 | 15.0f, 16.0f, |
| 5601 | 17.0f, 18.0f, |
| 5602 | 19.0f, 20.0f, |
| 5603 | 21.0f, 22.0f, |
| 5604 | 23.0f, 24.0f, |
| 5605 | 25.0f, 26.0f, |
| 5606 | 27.0f, 28.0f |
| 5607 | })); |
| 5608 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5609 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5610 | |
| 5611 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5612 | |
| 5613 | std::vector<T> output; |
| 5614 | output.resize(outputTensorInfo.GetNumElements()); |
| 5615 | Concatenate<T>(workloadFactory, |
| 5616 | memoryManager, |
| 5617 | {inputTensorInfo0, inputTensorInfo1}, |
| 5618 | {input0.data(), input1.data()}, |
| 5619 | outputTensorInfo, |
| 5620 | output.data(), |
| 5621 | dimension, |
| 5622 | true); |
| 5623 | |
| 5624 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5625 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5626 | 1.0f, 2.0f, |
| 5627 | 3.0f, 4.0f, |
| 5628 | 11.0f, 12.0f, |
| 5629 | 13.0f, 14.0f, |
| 5630 | 15.0f, 16.0f, |
| 5631 | |
| 5632 | 5.0f, 6.0f, |
| 5633 | 7.0f, 8.0f, |
| 5634 | 17.0f, 18.0f, |
| 5635 | 19.0f, 20.0f, |
| 5636 | 21.0f, 22.0f, |
| 5637 | |
| 5638 | 9.0f, 10.0f, |
| 5639 | 11.0f, 12.0f, |
| 5640 | 23.0f, 24.0f, |
| 5641 | 25.0f, 26.0f, |
| 5642 | 27.0f, 28.0f |
| 5643 | })); |
| 5644 | |
| 5645 | return result; |
| 5646 | } |
| 5647 | |
| 5648 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 5649 | armnn::IWorkloadFactory& workloadFactory, |
| 5650 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5651 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5652 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 5653 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5654 | } |
| 5655 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5656 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5657 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 5658 | armnn::IWorkloadFactory& workloadFactory, |
| 5659 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5660 | float qScale, |
| 5661 | int32_t qOffset, |
| 5662 | bool useSubtensor) |
| 5663 | { |
| 5664 | unsigned int dimension = 3; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5665 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5666 | |
| 5667 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5668 | 1.0f, 2.0f, |
| 5669 | 3.0f, 4.0f, |
| 5670 | 5.0f, 6.0f, |
| 5671 | 7.0f, 8.0f, |
| 5672 | 9.0f, 10.0f, |
| 5673 | 11.0f, 12.0f |
| 5674 | })); |
| 5675 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5676 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5677 | |
| 5678 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5679 | 11.0f, 12.0f, 13.0f, |
| 5680 | 14.0f, 15.0f, 16.0f, |
| 5681 | |
| 5682 | 17.0f, 18.0f, 19.0f, |
| 5683 | 20.0f, 21.0f, 22.0f, |
| 5684 | |
| 5685 | 23.0f, 24.0f, 25.0f, |
| 5686 | 26.0f, 27.0f, 28.0f |
| 5687 | })); |
| 5688 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5689 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5690 | |
| 5691 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5692 | |
| 5693 | std::vector<T> output; |
| 5694 | output.resize(outputTensorInfo.GetNumElements()); |
| 5695 | Concatenate<T>(workloadFactory, |
| 5696 | memoryManager, |
| 5697 | {inputTensorInfo0, inputTensorInfo1}, |
| 5698 | {input0.data(), input1.data()}, |
| 5699 | outputTensorInfo, |
| 5700 | output.data(), |
| 5701 | dimension, |
| 5702 | useSubtensor); |
| 5703 | |
| 5704 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5705 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5706 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 5707 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 5708 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 5709 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 5710 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 5711 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 5712 | })); |
| 5713 | |
| 5714 | return result; |
| 5715 | } |
| 5716 | |
| 5717 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 5718 | armnn::IWorkloadFactory& workloadFactory, |
| 5719 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5720 | bool useSubtensor) |
| 5721 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5722 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 5723 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5724 | } |
| 5725 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5726 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 5727 | armnn::IWorkloadFactory& workloadFactory, |
| 5728 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5729 | { |
| 5730 | constexpr unsigned int width = 2; |
| 5731 | constexpr unsigned int height = 3; |
| 5732 | |
| 5733 | const armnn::TensorInfo tensorInfo({height, width }, |
| 5734 | armnn::DataType::Float32); |
| 5735 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5736 | -10.0f, -5.0f, |
| 5737 | 0.0f, 5.0f, |
| 5738 | 10.0f, 10.0f |
| 5739 | })); |
| 5740 | |
| 5741 | LayerTestResult<float, 2> ret(tensorInfo); |
| 5742 | |
| 5743 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5744 | |
| 5745 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5746 | |
| 5747 | armnn::FakeQuantizationQueueDescriptor data; |
| 5748 | armnn::WorkloadInfo info; |
| 5749 | |
| 5750 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 5751 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 5752 | float min = -10.f; |
| 5753 | float max = 10.f; |
| 5754 | |
| 5755 | data.m_Parameters.m_Min = min; |
| 5756 | data.m_Parameters.m_Max = max; |
| 5757 | |
| 5758 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 5759 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 5760 | armnn::WorkloadInfo refInfo = info; |
| 5761 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 5762 | |
| 5763 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 5764 | |
| 5765 | inputHandle->Allocate(); |
| 5766 | outputHandle->Allocate(); |
| 5767 | |
| 5768 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 5769 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5770 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5771 | workload->Execute(); |
| 5772 | |
| 5773 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 5774 | |
| 5775 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5776 | 0.0f, 63.0f, |
| 5777 | 128.0f, 191.0f, |
| 5778 | 255.0f, 255.0f |
| 5779 | })); |
| 5780 | return ret; |
| 5781 | } |
| 5782 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5783 | namespace |
| 5784 | { |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5785 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 5786 | LayerTestResult<T, 4> L2NormalizationTestImpl( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5787 | armnn::IWorkloadFactory& workloadFactory, |
| 5788 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5789 | const armnn::TensorShape& inputOutputTensorShape, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 5790 | float scale, |
| 5791 | int32_t offset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5792 | const std::vector<float>& inputValues, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 5793 | float outScale, |
| 5794 | int32_t outOffset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5795 | const std::vector<float>& expectedOutputValues, |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 5796 | const armnn::DataLayout layout, |
| 5797 | float epsilon = 1e-12f) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5798 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 5799 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, scale, offset); |
| 5800 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, outScale, outOffset); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5801 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5802 | // at this point if we require it permute the input data |
| 5803 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 5804 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5805 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5806 | { |
| 5807 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5808 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5809 | inputData = tmp; |
| 5810 | } |
| 5811 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5812 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>( |
| 5813 | inputTensorInfo.GetQuantizationScale(), |
| 5814 | inputTensorInfo.GetQuantizationOffset(), |
| 5815 | inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5816 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5817 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5818 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5819 | { |
| 5820 | std::vector<float> tmp(expectedOutputData.size()); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5821 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, expectedOutputData.data(), tmp.data(), |
| 5822 | sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5823 | expectedOutputData = tmp; |
| 5824 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5825 | |
| 5826 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5827 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>( |
| 5828 | outputTensorInfo.GetQuantizationScale(), |
| 5829 | outputTensorInfo.GetQuantizationOffset(), |
| 5830 | expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5831 | |
| 5832 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5833 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5834 | |
| 5835 | armnn::L2NormalizationQueueDescriptor descriptor; |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 5836 | descriptor.m_Parameters.m_Eps = epsilon; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5837 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5838 | armnn::WorkloadInfo info; |
| 5839 | |
| 5840 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5841 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5842 | |
| 5843 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 5844 | |
| 5845 | inputHandle->Allocate(); |
| 5846 | outputHandle->Allocate(); |
| 5847 | |
| 5848 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5849 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5850 | workload->PostAllocationConfigure(); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5851 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5852 | |
| 5853 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5854 | |
| 5855 | return result; |
| 5856 | } |
| 5857 | |
| 5858 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 5859 | { |
| 5860 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 5861 | [](float acc, float element) { return acc + element * element; }); |
| 5862 | return 1.0f / sqrtf(reduction); |
| 5863 | } |
| 5864 | |
| 5865 | } // anonymous namespace |
| 5866 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5867 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5868 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 5869 | armnn::IWorkloadFactory& workloadFactory, |
| 5870 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5871 | float qScale, |
| 5872 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5873 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5874 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 5875 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5876 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5877 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5878 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5879 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5880 | std::vector<T> inputValues( |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5881 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5882 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5883 | // Height (3) x Width (3) |
| 5884 | 4, 8, 6, |
| 5885 | 7, 4, 4, |
| 5886 | 3, 2, 4 |
| 5887 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5888 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5889 | std::vector<T> expectedOutputValues( |
| 5890 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5891 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5892 | 0, 0, 0, 0, 0, 0, 0, |
| 5893 | 0, 0, 0, 0, 0, 0, 0, |
| 5894 | 0, 0, 4, 8, 6, 0, 0, |
| 5895 | 0, 0, 7, 4, 4, 0, 0, |
| 5896 | 0, 0, 3, 2, 4, 0, 0, |
| 5897 | 0, 0, 0, 0, 0, 0, 0, |
| 5898 | 0, 0, 0, 0, 0, 0, 0 |
| 5899 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5900 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5901 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5902 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5903 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5904 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5905 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5906 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5907 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5908 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5909 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5910 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5911 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5912 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5913 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5914 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5915 | descriptor.m_Parameters.m_PadList = PadList; |
| 5916 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5917 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5918 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5919 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5920 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5921 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5922 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5923 | inputHandle->Allocate(); |
| 5924 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5925 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5926 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5927 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5928 | workload->PostAllocationConfigure(); |
| 5929 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5930 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5931 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5932 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5933 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5934 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5935 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5936 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5937 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 5938 | armnn::IWorkloadFactory& workloadFactory, |
| 5939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5940 | float qScale, |
| 5941 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5942 | { |
| 5943 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 5944 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 5945 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5946 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5947 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5948 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5949 | std::vector<T> inputValues( |
| 5950 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5951 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5952 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5953 | 0, 4, |
| 5954 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5955 | |
| 5956 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5957 | 6, 1, |
| 5958 | 5, 2 |
| 5959 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5960 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5961 | std::vector<T> expectedOutputValues( |
| 5962 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5963 | { |
| 5964 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5965 | 0, 0, 0, 0, 0, 0, |
| 5966 | 0, 0, 0, 0, 0, 0, |
| 5967 | 0, 0, 0, 4, 0, 0, |
| 5968 | 0, 0, 2, 5, 0, 0, |
| 5969 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5970 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5971 | 0, 0, 0, 0, 0, 0, |
| 5972 | 0, 0, 0, 0, 0, 0, |
| 5973 | 0, 0, 6, 1, 0, 0, |
| 5974 | 0, 0, 5, 2, 0, 0, |
| 5975 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5976 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5977 | 0, 0, 0, 0, 0, 0, |
| 5978 | 0, 0, 0, 0, 0, 0, |
| 5979 | 0, 0, 0, 0, 0, 0, |
| 5980 | 0, 0, 0, 0, 0, 0, |
| 5981 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5982 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5983 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5984 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5985 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5986 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5987 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5988 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5989 | |
| 5990 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5991 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5992 | |
| 5993 | armnn::PadQueueDescriptor descriptor; |
| 5994 | |
| 5995 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5996 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 5997 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5998 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5999 | |
| 6000 | descriptor.m_Parameters.m_PadList = PadList; |
| 6001 | armnn::WorkloadInfo info; |
| 6002 | |
| 6003 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6004 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6005 | |
| 6006 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6007 | |
| 6008 | inputHandle->Allocate(); |
| 6009 | outputHandle->Allocate(); |
| 6010 | |
| 6011 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 6012 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6013 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6014 | workload->Execute(); |
| 6015 | |
| 6016 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 6017 | |
| 6018 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6019 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6020 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6021 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6022 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 6023 | armnn::IWorkloadFactory& workloadFactory, |
| 6024 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6025 | float qScale, |
| 6026 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6027 | { |
| 6028 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 6029 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 6030 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6031 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 6032 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6033 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6034 | std::vector<T> inputValues( |
| 6035 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6036 | { |
| 6037 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6038 | 0, 1, |
| 6039 | 2, 3, |
| 6040 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6041 | |
| 6042 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6043 | 6, 7, |
| 6044 | 8, 9, |
| 6045 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6046 | |
| 6047 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6048 | 12, 13, |
| 6049 | 14, 15, |
| 6050 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6051 | |
| 6052 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6053 | 18, 19, |
| 6054 | 20, 21, |
| 6055 | 22, 23 |
| 6056 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6057 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6058 | std::vector<T> expectedOutputValues( |
| 6059 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6060 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6061 | 0, 0, 0, 0, |
| 6062 | 0, 0, 0, 0, |
| 6063 | 0, 0, 0, 0, |
| 6064 | 0, 0, 0, 0, |
| 6065 | 0, 0, 0, 0, |
| 6066 | 0, 0, 0, 0, |
| 6067 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6068 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6069 | 0, 0, 0, 0, |
| 6070 | 0, 0, 0, 0, |
| 6071 | 0, 0, 0, 0, |
| 6072 | 0, 0, 0, 0, |
| 6073 | 0, 0, 0, 0, |
| 6074 | 0, 0, 0, 0, |
| 6075 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6076 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6077 | 0, 0, 0, 0, |
| 6078 | 0, 0, 0, 0, |
| 6079 | 0, 0, 0, 0, |
| 6080 | 0, 0, 0, 0, |
| 6081 | 0, 0, 0, 0, |
| 6082 | 0, 0, 0, 0, |
| 6083 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6084 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6085 | 0, 0, 0, 0, |
| 6086 | 0, 0, 0, 0, |
| 6087 | 0, 0, 0, 0, |
| 6088 | 0, 0, 0, 0, |
| 6089 | 0, 0, 0, 0, |
| 6090 | 0, 0, 0, 0, |
| 6091 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6092 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6093 | 0, 0, 0, 0, |
| 6094 | 0, 0, 0, 0, |
| 6095 | 0, 0, 0, 0, |
| 6096 | 0, 0, 0, 0, |
| 6097 | 0, 0, 0, 0, |
| 6098 | 0, 0, 0, 0, |
| 6099 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6100 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6101 | 0, 0, 0, 0, |
| 6102 | 0, 0, 0, 0, |
| 6103 | 0, 0, 0, 0, |
| 6104 | 0, 0, 0, 0, |
| 6105 | 0, 0, 0, 0, |
| 6106 | 0, 0, 0, 0, |
| 6107 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6108 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6109 | 0, 0, 0, 0, |
| 6110 | 0, 0, 0, 0, |
| 6111 | 0, 0, 0, 0, |
| 6112 | 0, 0, 0, 0, |
| 6113 | 0, 0, 0, 0, |
| 6114 | 0, 0, 0, 0, |
| 6115 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6116 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6117 | 0, 0, 0, 0, |
| 6118 | 0, 0, 0, 0, |
| 6119 | 0, 0, 0, 0, |
| 6120 | 0, 0, 1, 0, |
| 6121 | 0, 2, 3, 0, |
| 6122 | 0, 4, 5, 0, |
| 6123 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6124 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6125 | 0, 0, 0, 0, |
| 6126 | 0, 0, 0, 0, |
| 6127 | 0, 0, 0, 0, |
| 6128 | 0, 6, 7, 0, |
| 6129 | 0, 8, 9, 0, |
| 6130 | 0, 10, 11, 0, |
| 6131 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6132 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6133 | 0, 0, 0, 0, |
| 6134 | 0, 0, 0, 0, |
| 6135 | 0, 0, 0, 0, |
| 6136 | 0, 0, 0, 0, |
| 6137 | 0, 0, 0, 0, |
| 6138 | 0, 0, 0, 0, |
| 6139 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6140 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6141 | 0, 0, 0, 0, |
| 6142 | 0, 0, 0, 0, |
| 6143 | 0, 0, 0, 0, |
| 6144 | 0, 0, 0, 0, |
| 6145 | 0, 0, 0, 0, |
| 6146 | 0, 0, 0, 0, |
| 6147 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6148 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6149 | 0, 0, 0, 0, |
| 6150 | 0, 0, 0, 0, |
| 6151 | 0, 0, 0, 0, |
| 6152 | 0, 0, 0, 0, |
| 6153 | 0, 0, 0, 0, |
| 6154 | 0, 0, 0, 0, |
| 6155 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6156 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6157 | 0, 0, 0, 0, |
| 6158 | 0, 0, 0, 0, |
| 6159 | 0, 0, 0, 0, |
| 6160 | 0, 12, 13, 0, |
| 6161 | 0, 14, 15, 0, |
| 6162 | 0, 16, 17, 0, |
| 6163 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6164 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6165 | 0, 0, 0, 0, |
| 6166 | 0, 0, 0, 0, |
| 6167 | 0, 0, 0, 0, |
| 6168 | 0, 18, 19, 0, |
| 6169 | 0, 20, 21, 0, |
| 6170 | 0, 22, 23, 0, |
| 6171 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6172 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6173 | 0, 0, 0, 0, |
| 6174 | 0, 0, 0, 0, |
| 6175 | 0, 0, 0, 0, |
| 6176 | 0, 0, 0, 0, |
| 6177 | 0, 0, 0, 0, |
| 6178 | 0, 0, 0, 0, |
| 6179 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6180 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6181 | 0, 0, 0, 0, |
| 6182 | 0, 0, 0, 0, |
| 6183 | 0, 0, 0, 0, |
| 6184 | 0, 0, 0, 0, |
| 6185 | 0, 0, 0, 0, |
| 6186 | 0, 0, 0, 0, |
| 6187 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6188 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6189 | 0, 0, 0, 0, |
| 6190 | 0, 0, 0, 0, |
| 6191 | 0, 0, 0, 0, |
| 6192 | 0, 0, 0, 0, |
| 6193 | 0, 0, 0, 0, |
| 6194 | 0, 0, 0, 0, |
| 6195 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6196 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6197 | 0, 0, 0, 0, |
| 6198 | 0, 0, 0, 0, |
| 6199 | 0, 0, 0, 0, |
| 6200 | 0, 0, 0, 0, |
| 6201 | 0, 0, 0, 0, |
| 6202 | 0, 0, 0, 0, |
| 6203 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6204 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6205 | 0, 0, 0, 0, |
| 6206 | 0, 0, 0, 0, |
| 6207 | 0, 0, 0, 0, |
| 6208 | 0, 0, 0, 0, |
| 6209 | 0, 0, 0, 0, |
| 6210 | 0, 0, 0, 0, |
| 6211 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6212 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6213 | 0, 0, 0, 0, |
| 6214 | 0, 0, 0, 0, |
| 6215 | 0, 0, 0, 0, |
| 6216 | 0, 0, 0, 0, |
| 6217 | 0, 0, 0, 0, |
| 6218 | 0, 0, 0, 0, |
| 6219 | 0, 0, 0, 0 |
| 6220 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6221 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6222 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6223 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6224 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6225 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6226 | |
| 6227 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6228 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6229 | |
| 6230 | armnn::PadQueueDescriptor descriptor; |
| 6231 | |
| 6232 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 6233 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6234 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 6235 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 6236 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6237 | |
| 6238 | descriptor.m_Parameters.m_PadList = PadList; |
| 6239 | armnn::WorkloadInfo info; |
| 6240 | |
| 6241 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6242 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6243 | |
| 6244 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6245 | |
| 6246 | inputHandle->Allocate(); |
| 6247 | outputHandle->Allocate(); |
| 6248 | |
| 6249 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6250 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6251 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6252 | workload->Execute(); |
| 6253 | |
| 6254 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6255 | |
| 6256 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6257 | } |
| 6258 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6259 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 6260 | armnn::IWorkloadFactory& workloadFactory, |
| 6261 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6262 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6263 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6264 | } |
| 6265 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6266 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 6267 | armnn::IWorkloadFactory& workloadFactory, |
| 6268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6269 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6270 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6271 | } |
| 6272 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6273 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 6274 | armnn::IWorkloadFactory& workloadFactory, |
| 6275 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6276 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6277 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6278 | } |
| 6279 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6280 | LayerTestResult<float, 2> PadFloat322dTest( |
| 6281 | armnn::IWorkloadFactory& workloadFactory, |
| 6282 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6283 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6284 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6285 | } |
| 6286 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6287 | LayerTestResult<float, 3> PadFloat323dTest( |
| 6288 | armnn::IWorkloadFactory& workloadFactory, |
| 6289 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6290 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6291 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6292 | } |
| 6293 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6294 | LayerTestResult<float, 4> PadFloat324dTest( |
| 6295 | armnn::IWorkloadFactory& workloadFactory, |
| 6296 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6297 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6298 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6299 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6300 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6301 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6302 | LayerTestResult<T, 4> L2NormalizationEpsilonTestCommon( |
| 6303 | armnn::IWorkloadFactory& workloadFactory, |
| 6304 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6305 | float scale, |
| 6306 | int32_t offset, |
| 6307 | float outScale, |
| 6308 | int32_t outOffset, |
| 6309 | const armnn::DataLayout layout, |
| 6310 | float epsilon) |
| 6311 | { |
| 6312 | // Width: 1 |
| 6313 | // Height: 1 |
| 6314 | // Channels: 3 |
| 6315 | // BatchSize: 1 |
| 6316 | unsigned int numberOfBatches = 1; |
| 6317 | unsigned int numberOfChannels = 3; |
| 6318 | unsigned int height = 1; |
| 6319 | unsigned int width = 1; |
| 6320 | |
| 6321 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
| 6322 | numberOfBatches, numberOfChannels, height, width, layout); |
| 6323 | |
| 6324 | // 0.0000001^2 + 0.00000002^2 + 0.00000003^2 < 1e-12 |
| 6325 | std::vector<float> inputValues |
| 6326 | { |
| 6327 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6328 | 0.00000001f, |
| 6329 | |
| 6330 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 6331 | 0.00000002f, |
| 6332 | |
| 6333 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 6334 | 0.00000003f, |
| 6335 | }; |
| 6336 | |
| 6337 | const float approxInvL2Norm = 1.f / sqrtf(epsilon); |
| 6338 | std::vector<float> expectedOutputValues |
| 6339 | { |
| 6340 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6341 | 0.00000001f * approxInvL2Norm, |
| 6342 | 0.00000002f * approxInvL2Norm, |
| 6343 | 0.00000003f * approxInvL2Norm, |
| 6344 | }; |
| 6345 | |
| 6346 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6347 | inputValues, outScale, outOffset, expectedOutputValues, layout, |
| 6348 | epsilon); |
| 6349 | } |
| 6350 | |
| 6351 | |
| 6352 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6353 | LayerTestResult<T, 4> L2Normalization1dTestCommon( |
| 6354 | armnn::IWorkloadFactory& workloadFactory, |
| 6355 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6356 | float scale, |
| 6357 | int32_t offset, |
| 6358 | float outScale, |
| 6359 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6360 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6361 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6362 | // Width: 1 |
| 6363 | // Height: 1 |
| 6364 | // Channels: 10 |
| 6365 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6366 | unsigned int numberOfBatches = 1; |
| 6367 | unsigned int numberOfChannels = 10; |
| 6368 | unsigned int height = 1; |
| 6369 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6370 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6371 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6372 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6373 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6374 | std::vector<float> inputValues |
| 6375 | { |
| 6376 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6377 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6378 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6379 | // Batch 0, Channel 1, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6380 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6381 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6382 | // Batch 0, Channel 2, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6383 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6384 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6385 | // Batch 0, Channel 3, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6386 | 4.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6387 | |
| 6388 | // Batch 0, Channel 4, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6389 | 5.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6390 | |
| 6391 | // Batch 0, Channel 5, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6392 | 6.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6393 | |
| 6394 | // Batch 0, Channel 6, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6395 | 7.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6396 | |
| 6397 | // Batch 0, Channel 7, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6398 | 8.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6399 | |
| 6400 | // Batch 0, Channel 8, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6401 | 9.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6402 | |
| 6403 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 6404 | 10.0f |
| 6405 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6406 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6407 | std::vector<float> expectedOutputValues |
| 6408 | { |
| 6409 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6410 | 1.0f * approxInvL2Norm, |
| 6411 | 2.0f * approxInvL2Norm, |
| 6412 | 3.0f * approxInvL2Norm, |
| 6413 | 4.0f * approxInvL2Norm, |
| 6414 | 5.0f * approxInvL2Norm, |
| 6415 | 6.0f * approxInvL2Norm, |
| 6416 | 7.0f * approxInvL2Norm, |
| 6417 | 8.0f * approxInvL2Norm, |
| 6418 | 9.0f * approxInvL2Norm, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6419 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6420 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6421 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6422 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6423 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6424 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6425 | } |
| 6426 | |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6427 | LayerTestResult<float, 4> L2NormalizationDefaultEpsilonTest( |
| 6428 | armnn::IWorkloadFactory& workloadFactory, |
| 6429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6430 | const armnn::DataLayout layout) |
| 6431 | { |
| 6432 | // Dummy descriptor to get the default value of epsilon. |
| 6433 | armnn::L2NormalizationDescriptor descriptor; |
| 6434 | |
| 6435 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6436 | layout, descriptor.m_Eps); |
| 6437 | } |
| 6438 | |
| 6439 | LayerTestResult<float, 4> L2NormalizationNonDefaultEpsilonTest( |
| 6440 | armnn::IWorkloadFactory& workloadFactory, |
| 6441 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6442 | const armnn::DataLayout layout) |
| 6443 | { |
| 6444 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6445 | layout, 1e-9f); |
| 6446 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6447 | |
| 6448 | LayerTestResult<float, 4> L2Normalization1dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6449 | armnn::IWorkloadFactory& workloadFactory, |
| 6450 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6451 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6452 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6453 | 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] | 6454 | } |
| 6455 | |
| 6456 | LayerTestResult<int16_t, 4> L2Normalization1dInt16Test( |
| 6457 | armnn::IWorkloadFactory& workloadFactory, |
| 6458 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6459 | const armnn::DataLayout layout) |
| 6460 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6461 | 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] | 6462 | layout); |
| 6463 | } |
| 6464 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6465 | LayerTestResult<uint8_t, 4> L2Normalization1dUint8Test( |
| 6466 | armnn::IWorkloadFactory& workloadFactory, |
| 6467 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6468 | const armnn::DataLayout layout) |
| 6469 | { |
| 6470 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6471 | 1.f/128, 128, layout); |
| 6472 | } |
| 6473 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6474 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6475 | LayerTestResult<T, 4> L2Normalization2dTestCommon( |
| 6476 | armnn::IWorkloadFactory& workloadFactory, |
| 6477 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6478 | float scale, |
| 6479 | int32_t offset, |
| 6480 | float outScale, |
| 6481 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6482 | const armnn::DataLayout layout) |
| 6483 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6484 | // Width: 5 |
| 6485 | // Height: 1 |
| 6486 | // Channels: 2 |
| 6487 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6488 | unsigned int numberOfBatches = 1; |
| 6489 | unsigned int numberOfChannels = 2; |
| 6490 | unsigned int height = 1; |
| 6491 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6492 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6493 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6494 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6495 | std::vector<float> inputValues |
| 6496 | { |
| 6497 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6498 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6499 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6500 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 6501 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 6502 | }; |
| 6503 | std::vector<float> expectedOutputValues |
| 6504 | { |
| 6505 | // Batch 0, Channel 0, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6506 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6507 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6508 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6509 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
| 6510 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6511 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6512 | // Batch 0, Channel 1, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6513 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6514 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6515 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6516 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6517 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6518 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6519 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6520 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6521 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6522 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6523 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6524 | LayerTestResult<float, 4> L2Normalization2dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6525 | armnn::IWorkloadFactory& workloadFactory, |
| 6526 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6527 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6528 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6529 | return L2Normalization2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6530 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6531 | } |
| 6532 | |
| 6533 | LayerTestResult<int16_t, 4> L2Normalization2dInt16Test( |
| 6534 | armnn::IWorkloadFactory& workloadFactory, |
| 6535 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6536 | const armnn::DataLayout layout) |
| 6537 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6538 | 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] | 6539 | layout); |
| 6540 | } |
| 6541 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6542 | LayerTestResult<uint8_t, 4> L2Normalization2dUint8Test( |
| 6543 | armnn::IWorkloadFactory& workloadFactory, |
| 6544 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6545 | const armnn::DataLayout layout) |
| 6546 | { |
| 6547 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6548 | 1.f/128, 128, layout); |
| 6549 | } |
| 6550 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6551 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6552 | LayerTestResult<T, 4> L2Normalization3dTestCommon( |
| 6553 | armnn::IWorkloadFactory& workloadFactory, |
| 6554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6555 | float scale, |
| 6556 | int32_t offset, |
| 6557 | float outScale, |
| 6558 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6559 | const armnn::DataLayout layout) |
| 6560 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6561 | // Width: 3 |
| 6562 | // Height: 4 |
| 6563 | // Channels: 2 |
| 6564 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6565 | unsigned int numberOfBatches = 1; |
| 6566 | unsigned int numberOfChannels = 2; |
| 6567 | unsigned int height = 4; |
| 6568 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6569 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6570 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6571 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6572 | std::vector<float> inputValues |
| 6573 | { |
| 6574 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6575 | 119.0f, 21.0f, 150.0f, |
| 6576 | 149.0f, 32.0f, 179.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6577 | 15.0f, 227.0f, 141.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6578 | 147.0f, 199.0f, 220.0f, |
| 6579 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6580 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6581 | 110.0f, 140.0f, 73.0f, |
| 6582 | 211.0f, 212.0f, 89.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6583 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6584 | 162.0f, 12.0f, 161.0f |
| 6585 | }; |
| 6586 | std::vector<float> expectedOutputValues |
| 6587 | { |
| 6588 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6589 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6590 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6591 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6592 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6593 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6594 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6595 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6596 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6597 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6598 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6599 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 6600 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 6601 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6602 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6603 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6604 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6605 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6606 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6607 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6608 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6609 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6610 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6611 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6612 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6613 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6614 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 6615 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6616 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6617 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6618 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6619 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6620 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6621 | LayerTestResult<float, 4> L2Normalization3dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6622 | armnn::IWorkloadFactory& workloadFactory, |
| 6623 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6624 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6625 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6626 | return L2Normalization3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6627 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6628 | } |
| 6629 | |
| 6630 | LayerTestResult<int16_t, 4> L2Normalization3dInt16Test( |
| 6631 | armnn::IWorkloadFactory& workloadFactory, |
| 6632 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6633 | const armnn::DataLayout layout) |
| 6634 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6635 | 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] | 6636 | layout); |
| 6637 | } |
| 6638 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6639 | LayerTestResult<uint8_t, 4> L2Normalization3dUint8Test( |
| 6640 | armnn::IWorkloadFactory& workloadFactory, |
| 6641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6642 | const armnn::DataLayout layout) |
| 6643 | { |
| 6644 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6645 | 1.f/128, 128, layout); |
| 6646 | } |
| 6647 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6648 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6649 | LayerTestResult<T, 4> L2Normalization4dTestCommon( |
| 6650 | armnn::IWorkloadFactory& workloadFactory, |
| 6651 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6652 | float scale, |
| 6653 | int32_t offset, |
| 6654 | float outScale, |
| 6655 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6656 | const armnn::DataLayout layout) |
| 6657 | { |
| 6658 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6659 | // Height: 4 |
| 6660 | // Channels: 3 |
| 6661 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6662 | unsigned int numberOfBatches = 2; |
| 6663 | unsigned int numberOfChannels = 3; |
| 6664 | unsigned int height = 4; |
| 6665 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6666 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6667 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6668 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6669 | std::vector<float> inputValues |
| 6670 | { |
| 6671 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6672 | 235.0f, 46.0f, 178.0f, |
| 6673 | 100.0f, 123.0f, 19.0f, |
| 6674 | 172.0f, 74.0f, 250.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6675 | 6.0f, 195.0f, 80.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6676 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6677 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6678 | 113.0f, 95.0f, 202.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6679 | 77.0f, 114.0f, 71.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6680 | 122.0f, 246.0f, 166.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6681 | 82.0f, 28.0f, 37.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6682 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6683 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6684 | 56.0f, 170.0f, 162.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6685 | 194.0f, 89.0f, 254.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6686 | 12.0f, 209.0f, 200.0f, |
| 6687 | 1.0f, 64.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6688 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6689 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6690 | 67.0f, 90.0f, 49.0f, |
| 6691 | 7.0f, 163.0f, 18.0f, |
| 6692 | 25.0f, 117.0f, 103.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6693 | 247.0f, 59.0f, 189.0f, |
| 6694 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6695 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6696 | 239.0f, 104.0f, 199.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6697 | 17.0f, 124.0f, 153.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6698 | 222.0f, 217.0f, 75.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6699 | 32.0f, 126.0f, 21.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6700 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6701 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6702 | 97.0f, 145.0f, 215.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6703 | 115.0f, 116.0f, 238.0f, |
| 6704 | 226.0f, 16.0f, 132.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6705 | 92.0f, 125.0f, 88.0f |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6706 | }; |
| 6707 | std::vector<float> expectedOutputValues |
| 6708 | { |
| 6709 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6710 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6711 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6712 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6713 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6714 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6715 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6716 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6717 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6718 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6719 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6720 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6721 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6722 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6723 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6724 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6725 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6726 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6727 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6728 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6729 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6730 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6731 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6732 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6733 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6734 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6735 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6736 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6737 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6738 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6739 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6740 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6741 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6742 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6743 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6744 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6745 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6746 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6747 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6748 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6749 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6750 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6751 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6752 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6753 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6754 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6755 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6756 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6757 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6758 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6759 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6760 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6761 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6762 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6763 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6764 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6765 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6766 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6767 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6768 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6769 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6770 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6771 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6772 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6773 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6774 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6775 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6776 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6777 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6778 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6779 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6780 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6781 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6782 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6783 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6784 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6785 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6786 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6787 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6788 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6789 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6790 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6791 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6792 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6793 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6794 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6795 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6796 | } |
| 6797 | |
| 6798 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 6799 | armnn::IWorkloadFactory& workloadFactory, |
| 6800 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6801 | const armnn::DataLayout layout) |
| 6802 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6803 | return L2Normalization4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6804 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6805 | } |
| 6806 | |
| 6807 | LayerTestResult<int16_t, 4> L2Normalization4dInt16Test( |
| 6808 | armnn::IWorkloadFactory& workloadFactory, |
| 6809 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6810 | const armnn::DataLayout layout) |
| 6811 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6812 | 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] | 6813 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6814 | } |
| 6815 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6816 | LayerTestResult<uint8_t, 4> L2Normalization4dUint8Test( |
| 6817 | armnn::IWorkloadFactory& workloadFactory, |
| 6818 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6819 | const armnn::DataLayout layout) |
| 6820 | { |
| 6821 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6822 | 1.f/128, 128, layout); |
| 6823 | } |
| 6824 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6825 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6826 | LayerTestResult<T, 4> ConstantTestImpl( |
| 6827 | armnn::IWorkloadFactory& workloadFactory, |
| 6828 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6829 | float qScale, |
| 6830 | int32_t qOffset) |
| 6831 | { |
| 6832 | constexpr unsigned int inputWidth = 3; |
| 6833 | constexpr unsigned int inputHeight = 4; |
| 6834 | constexpr unsigned int inputChannels = 3; |
| 6835 | constexpr unsigned int inputBatchSize = 2; |
| 6836 | |
| 6837 | constexpr unsigned int outputWidth = inputWidth; |
| 6838 | constexpr unsigned int outputHeight = inputHeight; |
| 6839 | constexpr unsigned int outputChannels = inputChannels; |
| 6840 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6841 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6842 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6843 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6844 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6845 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6846 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6847 | |
| 6848 | // Set quantization parameters if the requested type is a quantized type. |
| 6849 | if(armnn::IsQuantizedType<T>()) |
| 6850 | { |
| 6851 | inputTensorInfo.SetQuantizationScale(qScale); |
| 6852 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 6853 | outputTensorInfo.SetQuantizationScale(qScale); |
| 6854 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 6855 | } |
| 6856 | |
| 6857 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 6858 | QuantizedVector<T>(qScale, qOffset, { |
| 6859 | // Batch 0, Channel 0 |
| 6860 | 235.0f, 46.0f, 178.0f, |
| 6861 | 100.0f, 123.0f, 19.0f, |
| 6862 | 172.0f, 74.0f, 250.0f, |
| 6863 | 6.0f, 195.0f, 80.0f, |
| 6864 | |
| 6865 | // Batch 0, Channel 1 |
| 6866 | 113.0f, 95.0f, 202.0f, |
| 6867 | 77.0f, 114.0f, 71.0f, |
| 6868 | 122.0f, 246.0f, 166.0f, |
| 6869 | 82.0f, 28.0f, 37.0f, |
| 6870 | |
| 6871 | // Batch 0, Channel 2 |
| 6872 | 56.0f, 170.0f, 162.0f, |
| 6873 | 194.0f, 89.0f, 254.0f, |
| 6874 | 12.0f, 209.0f, 200.0f, |
| 6875 | 1.0f, 64.0f, 54.0f, |
| 6876 | |
| 6877 | // Batch 1, Channel 0 |
| 6878 | 67.0f, 90.0f, 49.0f, |
| 6879 | 7.0f, 163.0f, 18.0f, |
| 6880 | 25.0f, 117.0f, 103.0f, |
| 6881 | 247.0f, 59.0f, 189.0f, |
| 6882 | |
| 6883 | // Batch 1, Channel 1 |
| 6884 | 239.0f, 104.0f, 199.0f, |
| 6885 | 17.0f, 124.0f, 153.0f, |
| 6886 | 222.0f, 217.0f, 75.0f, |
| 6887 | 32.0f, 126.0f, 21.0f, |
| 6888 | |
| 6889 | // Batch 1, Channel 2 |
| 6890 | 97.0f, 145.0f, 215.0f, |
| 6891 | 115.0f, 116.0f, 238.0f, |
| 6892 | 226.0f, 16.0f, 132.0f, |
| 6893 | 92.0f, 125.0f, 88.0f, |
| 6894 | }))); |
| 6895 | |
| 6896 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6897 | result.outputExpected = input; |
| 6898 | |
| 6899 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6900 | |
| 6901 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 6902 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 6903 | |
| 6904 | armnn::ConstantQueueDescriptor descriptor; |
| 6905 | descriptor.m_LayerOutput = &constantTensor; |
| 6906 | |
| 6907 | armnn::WorkloadInfo info; |
| 6908 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6909 | |
| 6910 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 6911 | |
| 6912 | outputHandle->Allocate(); |
| 6913 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6914 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6915 | workload->Execute(); |
| 6916 | |
| 6917 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6918 | return result; |
| 6919 | } |
| 6920 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6921 | LayerTestResult<float, 4> ConstantTest( |
| 6922 | armnn::IWorkloadFactory& workloadFactory, |
| 6923 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6924 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6925 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6926 | } |
| 6927 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6928 | LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest( |
| 6929 | armnn::IWorkloadFactory& workloadFactory, |
| 6930 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6931 | { |
| 6932 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 6933 | } |
| 6934 | |
| 6935 | LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6936 | armnn::IWorkloadFactory& workloadFactory, |
| 6937 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6938 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6939 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6940 | } |
| 6941 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6942 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6943 | armnn::IWorkloadFactory& workloadFactory, |
| 6944 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6945 | { |
| 6946 | unsigned int outputWidth = 3; |
| 6947 | unsigned int outputHeight = 6; |
| 6948 | unsigned int outputChannels = 3; |
| 6949 | |
| 6950 | unsigned int inputWidth1 = 3; |
| 6951 | unsigned int inputHeight1 = 6; |
| 6952 | unsigned int inputChannels1 = 2; |
| 6953 | |
| 6954 | unsigned int inputWidth2 = 3; |
| 6955 | unsigned int inputHeight2 = 6; |
| 6956 | unsigned int inputChannels2 = 1; |
| 6957 | |
| 6958 | // Defines the tensor descriptors. |
| 6959 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6960 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6961 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 6962 | |
| 6963 | // Quantized input1 tensor. Range [-3, 1] |
| 6964 | const float inputScale1 = 0.015686f; |
| 6965 | const int32_t inputOffset1 = 192; |
| 6966 | |
| 6967 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6968 | { |
| 6969 | 1, 2, 3, |
| 6970 | 4, 5, 6, |
| 6971 | 7, 8, 9, |
| 6972 | 10, 11, 12, |
| 6973 | 13, 14, 15, |
| 6974 | 16, 17, 18, |
| 6975 | |
| 6976 | 19, 20, 21, |
| 6977 | 22, 23, 24, |
| 6978 | 25, 26, 27, |
| 6979 | 28, 29, 30, |
| 6980 | 31, 32, 33, |
| 6981 | 34, 35, 36, |
| 6982 | }) |
| 6983 | ); |
| 6984 | |
| 6985 | // Quatized input2 tensor. Range [-1, 4] |
| 6986 | const float inputScale2 = 0.019608f; |
| 6987 | const int32_t inputOffset2 = 50; |
| 6988 | |
| 6989 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6990 | { |
| 6991 | 37, 38, 39, |
| 6992 | 40, 41, 42, |
| 6993 | 43, 44, 45, |
| 6994 | 46, 47, 48, |
| 6995 | 49, 50, 51, |
| 6996 | 52, 53, 54, |
| 6997 | }) |
| 6998 | ); |
| 6999 | |
| 7000 | // Output has the same quantization parameters than input1, |
| 7001 | // so that only the requantization of input2 is required |
| 7002 | const float outputScale = 0.015686f; |
| 7003 | const int32_t outputOffset = 192; |
| 7004 | |
| 7005 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 7006 | |
| 7007 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 7008 | { |
| 7009 | 1, 2, 3, |
| 7010 | 4, 5, 6, |
| 7011 | 7, 8, 9, |
| 7012 | 10, 11, 12, |
| 7013 | 13, 14, 15, |
| 7014 | 16, 17, 18, |
| 7015 | |
| 7016 | 19, 20, 21, |
| 7017 | 22, 23, 24, |
| 7018 | 25, 26, 27, |
| 7019 | 28, 29, 30, |
| 7020 | 31, 32, 33, |
| 7021 | 34, 35, 36, |
| 7022 | |
| 7023 | 176, 177, 178, |
| 7024 | 179, 181, 182, |
| 7025 | 183, 184, 186, |
| 7026 | 187, 188, 189, |
| 7027 | 191, 192, 193, |
| 7028 | 195, 196, 197, |
| 7029 | }) |
| 7030 | ); |
| 7031 | |
| 7032 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 7033 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 7034 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 7035 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 7036 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 7037 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 7038 | |
| 7039 | 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] | 7040 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7041 | |
| 7042 | 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] | 7043 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7044 | |
| 7045 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7046 | |
| 7047 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7048 | |
| 7049 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7050 | subTensorsSupported ? |
| 7051 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7052 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7053 | |
| 7054 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7055 | subTensorsSupported ? |
| 7056 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7057 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7058 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7059 | armnn::ConcatQueueDescriptor data; |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7060 | armnn::WorkloadInfo info; |
| 7061 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7062 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 7063 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7064 | |
| 7065 | data.m_ViewOrigins.push_back(window1); |
| 7066 | data.m_ViewOrigins.push_back(window2); |
| 7067 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7068 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7069 | |
| 7070 | inputHandle1->Allocate(); |
| 7071 | inputHandle2->Allocate(); |
| 7072 | outputHandle->Allocate(); |
| 7073 | |
| 7074 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7075 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 7076 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7077 | workload->PostAllocationConfigure(); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 7078 | workload->Execute(); |
| 7079 | |
| 7080 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7081 | |
| 7082 | return ret; |
| 7083 | } |
| 7084 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7085 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7086 | armnn::IWorkloadFactory& workloadFactory, |
| 7087 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7088 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7089 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7090 | unsigned int outputHeight = 6; |
| 7091 | unsigned int outputChannels = 3; |
| 7092 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7093 | unsigned int inputWidth1 = 3; |
| 7094 | unsigned int inputHeight1 = 6; |
| 7095 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7096 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7097 | unsigned int inputWidth2 = 3; |
| 7098 | unsigned int inputHeight2 = 6; |
| 7099 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7100 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7101 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7102 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 7103 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 7104 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7105 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7106 | // 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] | 7107 | const float scale = 0.13497836f; |
| 7108 | const int32_t offset = -7; |
| 7109 | |
| 7110 | outputTensorInfo.SetQuantizationScale(scale); |
| 7111 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7112 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7113 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7114 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7115 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7116 | |
| 7117 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 7118 | |
| 7119 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7120 | { |
| 7121 | 1, 2, 3, |
| 7122 | 4, 5, 6, |
| 7123 | 7, 8, 9, |
| 7124 | 10, 11, 12, |
| 7125 | 13, 14, 15, |
| 7126 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7127 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7128 | 19, 20, 21, |
| 7129 | 22, 23, 24, |
| 7130 | 25, 26, 27, |
| 7131 | 28, 29, 30, |
| 7132 | 31, 32, 33, |
| 7133 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7134 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7135 | 37, 38, 39, |
| 7136 | 40, 41, 42, |
| 7137 | 43, 44, 45, |
| 7138 | 46, 47, 48, |
| 7139 | 49, 50, 51, |
| 7140 | 52, 53, 54, |
| 7141 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7142 | ); |
| 7143 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7144 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 7145 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7146 | 1, 2, 3, |
| 7147 | 4, 5, 6, |
| 7148 | 7, 8, 9, |
| 7149 | 10, 11, 12, |
| 7150 | 13, 14, 15, |
| 7151 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7152 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7153 | 19, 20, 21, |
| 7154 | 22, 23, 24, |
| 7155 | 25, 26, 27, |
| 7156 | 28, 29, 30, |
| 7157 | 31, 32, 33, |
| 7158 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7159 | }) |
| 7160 | ); |
| 7161 | |
| 7162 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 7163 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7164 | 37, 38, 39, |
| 7165 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7166 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 7167 | 46, 47, 48, |
| 7168 | 49, 50, 51, |
| 7169 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7170 | }) |
| 7171 | ); |
| 7172 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7173 | 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] | 7174 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7175 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7176 | 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] | 7177 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7178 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7179 | |
| 7180 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7181 | |
| 7182 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7183 | |
| 7184 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7185 | subTensorsSupported ? |
| 7186 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7187 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7188 | |
| 7189 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7190 | subTensorsSupported ? |
| 7191 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7192 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7193 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7194 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7195 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7196 | armnn::WorkloadInfo info; |
| 7197 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7198 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7199 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7200 | |
| 7201 | data.m_ViewOrigins.push_back(window1); |
| 7202 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7203 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7204 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7205 | |
| 7206 | inputHandle1->Allocate(); |
| 7207 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7208 | outputHandle->Allocate(); |
| 7209 | |
| 7210 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7211 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7212 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7213 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7214 | workload->Execute(); |
| 7215 | |
| 7216 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7217 | |
| 7218 | return ret; |
| 7219 | } |
| 7220 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7221 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7222 | armnn::IWorkloadFactory& workloadFactory, |
| 7223 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7224 | { |
| 7225 | unsigned int outputWidth = 3; |
| 7226 | unsigned int outputHeight = 6; |
| 7227 | unsigned int outputChannels = 3; |
| 7228 | |
| 7229 | unsigned int inputWidth1 = 3; |
| 7230 | unsigned int inputHeight1 = 6; |
| 7231 | unsigned int inputChannels1 = 2; |
| 7232 | |
| 7233 | unsigned int inputWidth2 = 3; |
| 7234 | unsigned int inputHeight2 = 6; |
| 7235 | unsigned int inputChannels2 = 1; |
| 7236 | |
| 7237 | // Defines the tensor descriptors. |
| 7238 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedSymm16); |
| 7239 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedSymm16); |
| 7240 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedSymm16); |
| 7241 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7242 | // 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] | 7243 | const float scale = 0.13497836f; |
| 7244 | const int32_t offset = -7; |
| 7245 | |
| 7246 | outputTensorInfo.SetQuantizationScale(scale); |
| 7247 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7248 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7249 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7250 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7251 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 7252 | |
| 7253 | LayerTestResult<uint16_t, 3> ret(outputTensorInfo); |
| 7254 | |
| 7255 | ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>( |
| 7256 | { |
| 7257 | 1, 2, 3, |
| 7258 | 4, 5, 6, |
| 7259 | 7, 8, 9, |
| 7260 | 10, 11, 12, |
| 7261 | 13, 14, 15, |
| 7262 | 16, 17, 18, |
| 7263 | |
| 7264 | 19, 20, 21, |
| 7265 | 22, 23, 24, |
| 7266 | 25, 26, 27, |
| 7267 | 28, 29, 30, |
| 7268 | 31, 32, 33, |
| 7269 | 34, 35, 36, |
| 7270 | |
| 7271 | 37, 38, 39, |
| 7272 | 40, 41, 42, |
| 7273 | 43, 44, 45, |
| 7274 | 46, 47, 48, |
| 7275 | 49, 50, 51, |
| 7276 | 52, 53, 54, |
| 7277 | })); |
| 7278 | |
| 7279 | auto input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>( |
| 7280 | { |
| 7281 | 1, 2, 3, |
| 7282 | 4, 5, 6, |
| 7283 | 7, 8, 9, |
| 7284 | 10, 11, 12, |
| 7285 | 13, 14, 15, |
| 7286 | 16, 17, 18, |
| 7287 | |
| 7288 | 19, 20, 21, |
| 7289 | 22, 23, 24, |
| 7290 | 25, 26, 27, |
| 7291 | 28, 29, 30, |
| 7292 | 31, 32, 33, |
| 7293 | 34, 35, 36, |
| 7294 | })); |
| 7295 | |
| 7296 | auto input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>( |
| 7297 | { |
| 7298 | 37, 38, 39, |
| 7299 | 40, 41, 42, |
| 7300 | 43, 44, 45, |
| 7301 | 46, 47, 48, |
| 7302 | 49, 50, 51, |
| 7303 | 52, 53, 54, |
| 7304 | })); |
| 7305 | |
| 7306 | 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] | 7307 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7308 | |
| 7309 | 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] | 7310 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7311 | |
| 7312 | |
| 7313 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7314 | |
| 7315 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7316 | |
| 7317 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7318 | subTensorsSupported ? |
| 7319 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7320 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7321 | |
| 7322 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7323 | subTensorsSupported ? |
| 7324 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7325 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7326 | |
| 7327 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7328 | armnn::ConcatQueueDescriptor data; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7329 | armnn::WorkloadInfo info; |
| 7330 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7331 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 7332 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7333 | |
| 7334 | data.m_ViewOrigins.push_back(window1); |
| 7335 | data.m_ViewOrigins.push_back(window2); |
| 7336 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7337 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7338 | |
| 7339 | inputHandle1->Allocate(); |
| 7340 | inputHandle2->Allocate(); |
| 7341 | outputHandle->Allocate(); |
| 7342 | |
| 7343 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7344 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 7345 | |
| 7346 | workload->PostAllocationConfigure(); |
| 7347 | workload->Execute(); |
| 7348 | |
| 7349 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7350 | |
| 7351 | return ret; |
| 7352 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7353 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7354 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7355 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7356 | template <typename T> |
| 7357 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7358 | armnn::IWorkloadFactory& workloadFactory, |
| 7359 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7360 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7361 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7362 | float scale0, |
| 7363 | int32_t offset0, |
| 7364 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7365 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7366 | float scale1, |
| 7367 | int32_t offset1, |
| 7368 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7369 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7370 | float outScale, |
| 7371 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7372 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7373 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 7374 | armnn::DataType::QuantisedAsymm8 : |
| 7375 | armnn::DataType::QuantisedSymm16); |
| 7376 | |
| 7377 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 7378 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 7379 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7380 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7381 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7382 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7383 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7384 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7385 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7386 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7387 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7388 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7389 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7390 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7391 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7392 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7393 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7394 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7395 | |
| 7396 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7397 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7398 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7399 | |
| 7400 | armnn::AdditionQueueDescriptor data; |
| 7401 | armnn::WorkloadInfo info; |
| 7402 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7403 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7404 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7405 | |
| 7406 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 7407 | |
| 7408 | inputHandle0->Allocate(); |
| 7409 | inputHandle1->Allocate(); |
| 7410 | outputHandle->Allocate(); |
| 7411 | |
| 7412 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7413 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7414 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7415 | workload->PostAllocationConfigure(); |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7416 | workload->Execute(); |
| 7417 | |
| 7418 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7419 | |
| 7420 | return result; |
| 7421 | } |
| 7422 | } // anonymous namespace |
| 7423 | |
| 7424 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 7425 | armnn::IWorkloadFactory& workloadFactory, |
| 7426 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7427 | { |
| 7428 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7429 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7430 | |
| 7431 | std::vector<uint8_t> input0( |
| 7432 | { |
| 7433 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 7434 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 7435 | }); |
| 7436 | |
| 7437 | std::vector<uint8_t> input1( |
| 7438 | { |
| 7439 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7440 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7441 | }); |
| 7442 | |
| 7443 | std::vector<uint8_t> output( |
| 7444 | { |
| 7445 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 7446 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 7447 | }); |
| 7448 | |
| 7449 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7450 | memoryManager, |
| 7451 | shape0, input0, 7.0f, 3, |
| 7452 | shape1, input1, 7.0f, 3, |
| 7453 | shape0, output, 7.0f, 3); |
| 7454 | } |
| 7455 | |
| 7456 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 7457 | armnn::IWorkloadFactory& workloadFactory, |
| 7458 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7459 | { |
| 7460 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7461 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7462 | |
| 7463 | std::vector<int16_t> input0( |
| 7464 | { |
| 7465 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 7466 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 7467 | }); |
| 7468 | |
| 7469 | std::vector<int16_t> input1( |
| 7470 | { |
| 7471 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7472 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7473 | }); |
| 7474 | |
| 7475 | std::vector<int16_t> output( |
| 7476 | { |
| 7477 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 7478 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 7479 | }); |
| 7480 | |
| 7481 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7482 | memoryManager, |
| 7483 | shape0, input0, 7.0f, 0, |
| 7484 | shape1, input1, 7.0f, 0, |
| 7485 | shape0, output, 7.0f, 0); |
| 7486 | } |
| 7487 | |
| 7488 | namespace |
| 7489 | { |
| 7490 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7491 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 7492 | armnn::IWorkloadFactory& workloadFactory, |
| 7493 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7494 | const unsigned int shape0[4], |
| 7495 | const std::vector<T> & values0, |
| 7496 | float scale0, |
| 7497 | int32_t offset0, |
| 7498 | const unsigned int shape1[4], |
| 7499 | const std::vector<T> & values1, |
| 7500 | float scale1, |
| 7501 | int32_t offset1, |
| 7502 | const unsigned int outShape[4], |
| 7503 | const std::vector<T> & outValues, |
| 7504 | float outScale, |
| 7505 | int32_t outOffset) |
| 7506 | { |
| 7507 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7508 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7509 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 7510 | |
| 7511 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7512 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7513 | |
| 7514 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7515 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7516 | |
| 7517 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7518 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7519 | |
| 7520 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7521 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7522 | |
| 7523 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7524 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7525 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7526 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7527 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7528 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7529 | |
| 7530 | armnn::MultiplicationQueueDescriptor data; |
| 7531 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7532 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7533 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7534 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7535 | |
| 7536 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 7537 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7538 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7539 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7540 | outputHandle->Allocate(); |
| 7541 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7542 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7543 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7544 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7545 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7546 | workload->Execute(); |
| 7547 | |
| 7548 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7549 | |
| 7550 | return result; |
| 7551 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7552 | } // anonymous namespace |
| 7553 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7554 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 7555 | armnn::IWorkloadFactory& workloadFactory, |
| 7556 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7557 | { |
| 7558 | unsigned int batchSize = 1; |
| 7559 | unsigned int channels = 2; |
| 7560 | unsigned int height = 2; |
| 7561 | unsigned int width = 3; |
| 7562 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 7563 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7564 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7565 | std::vector<uint8_t> input0({ |
| 7566 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 7567 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 7568 | }); |
| 7569 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7570 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7571 | std::vector<uint8_t> input1({ |
| 7572 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 7573 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 7574 | }); |
| 7575 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7576 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7577 | std::vector<uint8_t> output( |
| 7578 | { |
| 7579 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 7580 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 7581 | }); |
| 7582 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7583 | // Scale/offset chosen to have output values out of range. |
| 7584 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7585 | memoryManager, |
| 7586 | shape, |
| 7587 | input0, |
| 7588 | 4.0f, |
| 7589 | 1, |
| 7590 | shape, |
| 7591 | input1, |
| 7592 | 3.0f, |
| 7593 | -2, |
| 7594 | shape, |
| 7595 | output, |
| 7596 | 1366.255f, |
| 7597 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7598 | } |
| 7599 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7600 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 7601 | armnn::IWorkloadFactory& workloadFactory, |
| 7602 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7603 | { |
| 7604 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7605 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7606 | |
| 7607 | std::vector<uint8_t> input0({ |
| 7608 | 1, 2, 3, 4, 5, 6, |
| 7609 | 7, 8, 9, 10, 11, 12 |
| 7610 | }); |
| 7611 | |
| 7612 | std::vector<uint8_t> input1({2}); |
| 7613 | |
| 7614 | std::vector<uint8_t> output({ |
| 7615 | 2, 4, 6, 8, 10, 12, |
| 7616 | 14, 16, 18, 20, 22, 24 |
| 7617 | }); |
| 7618 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7619 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7620 | memoryManager, |
| 7621 | shape0, |
| 7622 | input0, |
| 7623 | 1.0f, |
| 7624 | 0, |
| 7625 | shape1, |
| 7626 | input1, |
| 7627 | 1.0f, |
| 7628 | 0, |
| 7629 | shape0, |
| 7630 | output, |
| 7631 | 1.0f, |
| 7632 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7633 | } |
| 7634 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7635 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 7636 | armnn::IWorkloadFactory& workloadFactory, |
| 7637 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7638 | { |
| 7639 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7640 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7641 | |
| 7642 | std::vector<uint8_t> input0({ |
| 7643 | 1, 2, 3, 4, 5, 6, |
| 7644 | 7, 8, 9, 10, 11, 12 |
| 7645 | }); |
| 7646 | |
| 7647 | std::vector<uint8_t> input1({1, 2, 3}); |
| 7648 | |
| 7649 | std::vector<uint8_t> output({ |
| 7650 | 1, 4, 9, 4, 10, 18, |
| 7651 | 7, 16, 27, 10, 22, 36 |
| 7652 | }); |
| 7653 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7654 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7655 | memoryManager, |
| 7656 | shape0, |
| 7657 | input0, |
| 7658 | 1.0f, |
| 7659 | 0, |
| 7660 | shape1, |
| 7661 | input1, |
| 7662 | 1.0f, |
| 7663 | 0, |
| 7664 | shape0, |
| 7665 | output, |
| 7666 | 1.0f, |
| 7667 | 0); |
| 7668 | } |
| 7669 | |
| 7670 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 7671 | armnn::IWorkloadFactory& workloadFactory, |
| 7672 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7673 | { |
| 7674 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 7675 | |
| 7676 | std::vector<int16_t> input0( |
| 7677 | { |
| 7678 | 6, 7, 8, 9, 10, 11, |
| 7679 | 12, 13, 14, 15, 16, 17 |
| 7680 | }); |
| 7681 | |
| 7682 | std::vector<int16_t> input1( |
| 7683 | { |
| 7684 | 1, 2, 3, 4, 5, 6, |
| 7685 | 7, 8, 9, 10, 11, 12 |
| 7686 | }); |
| 7687 | |
| 7688 | std::vector<int16_t> output( |
| 7689 | { |
| 7690 | 6, 14, 24, 36, 50, 66, |
| 7691 | 84, 104, 126, 150, 176, 204 |
| 7692 | }); |
| 7693 | |
| 7694 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7695 | memoryManager, |
| 7696 | shape, |
| 7697 | input0, |
| 7698 | 1.0f, |
| 7699 | 0, |
| 7700 | shape, |
| 7701 | input1, |
| 7702 | 1.0f, |
| 7703 | 0, |
| 7704 | shape, |
| 7705 | output, |
| 7706 | 1.0f, |
| 7707 | 0); |
| 7708 | } |
| 7709 | |
| 7710 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 7711 | armnn::IWorkloadFactory& workloadFactory, |
| 7712 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7713 | { |
| 7714 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7715 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7716 | |
| 7717 | std::vector<int16_t> input0( |
| 7718 | { |
| 7719 | 1, 2, 3, 4, 5, 6, |
| 7720 | 7, 8, 9, 10, 11, 12 |
| 7721 | }); |
| 7722 | |
| 7723 | std::vector<int16_t> input1({2}); |
| 7724 | |
| 7725 | std::vector<int16_t> output( |
| 7726 | { |
| 7727 | 2, 4, 6, 8, 10, 12, |
| 7728 | 14, 16, 18, 20, 22, 24 |
| 7729 | }); |
| 7730 | |
| 7731 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7732 | memoryManager, |
| 7733 | shape0, |
| 7734 | input0, |
| 7735 | 1.0f, |
| 7736 | 0, |
| 7737 | shape1, |
| 7738 | input1, |
| 7739 | 1.0f, |
| 7740 | 0, |
| 7741 | shape0, |
| 7742 | output, |
| 7743 | 1.0f, |
| 7744 | 0); |
| 7745 | } |
| 7746 | |
| 7747 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 7748 | armnn::IWorkloadFactory& workloadFactory, |
| 7749 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7750 | { |
| 7751 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7752 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7753 | |
| 7754 | std::vector<int16_t> input0( |
| 7755 | { |
| 7756 | 1, 2, 3, 4, 5, 6, |
| 7757 | 7, 8, 9, 10, 11, 12 |
| 7758 | }); |
| 7759 | |
| 7760 | std::vector<int16_t> input1({1, 2, 3}); |
| 7761 | |
| 7762 | std::vector<int16_t> output( |
| 7763 | { |
| 7764 | 1, 4, 9, 4, 10, 18, |
| 7765 | 7, 16, 27, 10, 22, 36 |
| 7766 | }); |
| 7767 | |
| 7768 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7769 | memoryManager, |
| 7770 | shape0, |
| 7771 | input0, |
| 7772 | 1.0f, |
| 7773 | 0, |
| 7774 | shape1, |
| 7775 | input1, |
| 7776 | 1.0f, |
| 7777 | 0, |
| 7778 | shape0, |
| 7779 | output, |
| 7780 | 1.0f, |
| 7781 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7782 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7783 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7784 | namespace |
| 7785 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7786 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7787 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 7788 | armnn::IWorkloadFactory& workloadFactory, |
| 7789 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7790 | const unsigned int shape0[4], |
| 7791 | const std::vector<T>& values0, |
| 7792 | float scale0, |
| 7793 | int32_t offset0, |
| 7794 | const unsigned int shape1[4], |
| 7795 | const std::vector<T> & values1, |
| 7796 | float scale1, |
| 7797 | int32_t offset1, |
| 7798 | const unsigned int outShape[4], |
| 7799 | const std::vector<T> & outValues, |
| 7800 | float outScale, |
| 7801 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7802 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7803 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7804 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7805 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7806 | |
| 7807 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7808 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7809 | |
| 7810 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7811 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7812 | |
| 7813 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7814 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7815 | |
| 7816 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7817 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7818 | |
| 7819 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7820 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7821 | |
| 7822 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7823 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7824 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7825 | |
| 7826 | armnn::SubtractionQueueDescriptor data; |
| 7827 | armnn::WorkloadInfo info; |
| 7828 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7829 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7830 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7831 | |
| 7832 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 7833 | |
| 7834 | inputHandle0->Allocate(); |
| 7835 | inputHandle1->Allocate(); |
| 7836 | outputHandle->Allocate(); |
| 7837 | |
| 7838 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7839 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7840 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7841 | workload->PostAllocationConfigure(); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7842 | workload->Execute(); |
| 7843 | |
| 7844 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7845 | |
| 7846 | return result; |
| 7847 | } |
| 7848 | } // anonymous namespace |
| 7849 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7850 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 7851 | armnn::IWorkloadFactory& workloadFactory, |
| 7852 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7853 | { |
| 7854 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7855 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7856 | |
| 7857 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7858 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 7859 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 7860 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7861 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7862 | memoryManager, |
| 7863 | shape0, input0, 0.5f, 2, |
| 7864 | shape1, input1, 1.0f, 0, |
| 7865 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7866 | } |
| 7867 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7868 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 7869 | armnn::IWorkloadFactory& workloadFactory, |
| 7870 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7871 | { |
| 7872 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7873 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7874 | |
| 7875 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7876 | std::vector<uint8_t> input1({ 2 }); |
| 7877 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 7878 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7879 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7880 | memoryManager, |
| 7881 | shape0, input0, 0.5f, 2, |
| 7882 | shape1, input1, 1.0f, 0, |
| 7883 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7884 | } |
| 7885 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7886 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 7887 | armnn::IWorkloadFactory& workloadFactory, |
| 7888 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7889 | { |
| 7890 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7891 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7892 | |
| 7893 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7894 | std::vector<uint8_t> input1({ 2, 1 }); |
| 7895 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 7896 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7897 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7898 | memoryManager, |
| 7899 | shape0, input0, 1.0f, 0, |
| 7900 | shape1, input1, 1.0f, 0, |
| 7901 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7902 | } |
| 7903 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7904 | LayerTestResult<float, 4> SubtractionTest( |
| 7905 | armnn::IWorkloadFactory& workloadFactory, |
| 7906 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7907 | { |
| 7908 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7909 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7910 | |
| 7911 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7912 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 7913 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 7914 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7915 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7916 | memoryManager, |
| 7917 | shape0, input0, 1.0f, 0, |
| 7918 | shape1, input1, 1.0f, 0, |
| 7919 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7920 | } |
| 7921 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7922 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 7923 | armnn::IWorkloadFactory& workloadFactory, |
| 7924 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7925 | { |
| 7926 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7927 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7928 | |
| 7929 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7930 | std::vector<float> input1({ 10 }); |
| 7931 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 7932 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7933 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7934 | memoryManager, |
| 7935 | shape0, input0, 1.0f, 0, |
| 7936 | shape1, input1, 1.0f, 0, |
| 7937 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7938 | } |
| 7939 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7940 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 7941 | armnn::IWorkloadFactory& workloadFactory, |
| 7942 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7943 | { |
| 7944 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7945 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 7946 | |
| 7947 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7948 | std::vector<float> input1({ 10, -5 }); |
| 7949 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 7950 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7951 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7952 | memoryManager, |
| 7953 | shape0, input0, 1.0f, 0, |
| 7954 | shape1, input1, 1.0f, 0, |
| 7955 | shape0, output, 1.0f, 0); |
| 7956 | } |
| 7957 | |
| 7958 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 7959 | armnn::IWorkloadFactory& workloadFactory, |
| 7960 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7961 | { |
| 7962 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7963 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7964 | |
| 7965 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7966 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 7967 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 7968 | |
| 7969 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7970 | memoryManager, |
| 7971 | shape0, input0, 0.5f, 0, |
| 7972 | shape1, input1, 1.0f, 0, |
| 7973 | shape0, output, 1.0f, 0); |
| 7974 | } |
| 7975 | |
| 7976 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 7977 | armnn::IWorkloadFactory& workloadFactory, |
| 7978 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7979 | { |
| 7980 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7981 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7982 | |
| 7983 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7984 | std::vector<int16_t> input1({ 2 }); |
| 7985 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 7986 | |
| 7987 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7988 | memoryManager, |
| 7989 | shape0, input0, 0.5f, 0, |
| 7990 | shape1, input1, 1.0f, 0, |
| 7991 | shape0, output, 1.0f, 0); |
| 7992 | } |
| 7993 | |
| 7994 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 7995 | armnn::IWorkloadFactory& workloadFactory, |
| 7996 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7997 | { |
| 7998 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7999 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 8000 | |
| 8001 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 8002 | std::vector<int16_t> input1({ 2, 1 }); |
| 8003 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 8004 | |
| 8005 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 8006 | memoryManager, |
| 8007 | shape0, input0, 1.0f, 0, |
| 8008 | shape1, input1, 1.0f, 0, |
| 8009 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 8010 | } |
| 8011 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8012 | LayerTestResult<float, 4> BatchNormTest( |
| 8013 | armnn::IWorkloadFactory& workloadFactory, |
| 8014 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8015 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8016 | // BatchSize: 1 |
| 8017 | // Channels: 2 |
| 8018 | // Height: 3 |
| 8019 | // Width: 2 |
| 8020 | |
| 8021 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8022 | std::vector<float> inputValues |
| 8023 | { |
| 8024 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8025 | 1.f, 4.f, |
| 8026 | 4.f, 2.f, |
| 8027 | 1.f, 6.f, |
| 8028 | |
| 8029 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8030 | 1.f, 1.f, |
| 8031 | 4.f, 1.f, |
| 8032 | -2.f, 4.f |
| 8033 | }; |
| 8034 | std::vector<float> expectedOutputValues |
| 8035 | { |
| 8036 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8037 | 1.f, 4.f, |
| 8038 | 4.f, 2.f, |
| 8039 | 1.f, 6.f, |
| 8040 | |
| 8041 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8042 | 3.f, 3.f, |
| 8043 | 4.f, 3.f, |
| 8044 | 2.f, 4.f |
| 8045 | }; |
| 8046 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8047 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8048 | workloadFactory, memoryManager, |
| 8049 | inputOutputShape, inputValues, expectedOutputValues, |
| 8050 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8051 | } |
| 8052 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8053 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 8054 | armnn::IWorkloadFactory& workloadFactory, |
| 8055 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8056 | { |
| 8057 | // BatchSize: 1 |
| 8058 | // Height: 3 |
| 8059 | // Width: 2 |
| 8060 | // Channels: 2 |
| 8061 | |
| 8062 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8063 | std::vector<float> inputValues |
| 8064 | { |
| 8065 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8066 | 1.f, 1.f, |
| 8067 | 4.f, 1.f, |
| 8068 | |
| 8069 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8070 | 4.f, 4.f, |
| 8071 | 2.f, 1.f, |
| 8072 | |
| 8073 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8074 | 1.f, -2.f, |
| 8075 | 6.f, 4.f |
| 8076 | }; |
| 8077 | std::vector<float> expectedOutputValues |
| 8078 | { |
| 8079 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8080 | 1.f, 3.f, |
| 8081 | 4.f, 3.f, |
| 8082 | |
| 8083 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8084 | 4.f, 4.f, |
| 8085 | 2.f, 3.f, |
| 8086 | |
| 8087 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8088 | 1.f, 2.f, |
| 8089 | 6.f, 4.f |
| 8090 | }; |
| 8091 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8092 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8093 | workloadFactory, memoryManager, |
| 8094 | inputOutputShape, inputValues, expectedOutputValues, |
| 8095 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8096 | } |
| 8097 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8098 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 8099 | armnn::IWorkloadFactory& workloadFactory, |
| 8100 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8101 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8102 | // BatchSize: 1 |
| 8103 | // Channels: 2 |
| 8104 | // Height: 3 |
| 8105 | // Width: 2 |
| 8106 | |
| 8107 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8108 | std::vector<float> inputValues |
| 8109 | { |
| 8110 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8111 | 1.f, 4.f, |
| 8112 | 4.f, 2.f, |
| 8113 | 1.f, 6.f, |
| 8114 | |
| 8115 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8116 | 1.f, 1.f, |
| 8117 | 4.f, 1.f, |
| 8118 | -2.f, 4.f |
| 8119 | }; |
| 8120 | std::vector<float> expectedOutputValues |
| 8121 | { |
| 8122 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8123 | 1.f, 4.f, |
| 8124 | 4.f, 2.f, |
| 8125 | 1.f, 6.f, |
| 8126 | |
| 8127 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8128 | 3.f, 3.f, |
| 8129 | 4.f, 3.f, |
| 8130 | 2.f, 4.f |
| 8131 | }; |
| 8132 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8133 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8134 | workloadFactory, memoryManager, |
| 8135 | inputOutputShape, inputValues, expectedOutputValues, |
| 8136 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8137 | } |
| 8138 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8139 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 8140 | armnn::IWorkloadFactory& workloadFactory, |
| 8141 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8142 | { |
| 8143 | // BatchSize: 1 |
| 8144 | // Height: 3 |
| 8145 | // Width: 2 |
| 8146 | // Channels: 2 |
| 8147 | |
| 8148 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8149 | std::vector<float> inputValues |
| 8150 | { |
| 8151 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8152 | 1.f, 1.f, |
| 8153 | 4.f, 1.f, |
| 8154 | |
| 8155 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8156 | 4.f, 4.f, |
| 8157 | 2.f, 1.f, |
| 8158 | |
| 8159 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8160 | 1.f, -2.f, |
| 8161 | 6.f, 4.f |
| 8162 | }; |
| 8163 | std::vector<float> expectedOutputValues |
| 8164 | { |
| 8165 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8166 | 1.f, 3.f, |
| 8167 | 4.f, 3.f, |
| 8168 | |
| 8169 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8170 | 4.f, 4.f, |
| 8171 | 2.f, 3.f, |
| 8172 | |
| 8173 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8174 | 1.f, 2.f, |
| 8175 | 6.f, 4.f |
| 8176 | }; |
| 8177 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8178 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 8179 | (workloadFactory, memoryManager, |
| 8180 | inputOutputShape, inputValues, expectedOutputValues, |
| 8181 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8182 | } |
| 8183 | |
Matteo Martincigh | f550713 | 2019-06-04 10:59:47 +0100 | [diff] [blame] | 8184 | LayerTestResult<int16_t, 4> BatchNormInt16Test( |
| 8185 | armnn::IWorkloadFactory& workloadFactory, |
| 8186 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8187 | { |
| 8188 | // BatchSize: 1 |
| 8189 | // Channels: 2 |
| 8190 | // Height: 3 |
| 8191 | // Width: 2 |
| 8192 | |
| 8193 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8194 | std::vector<float> inputValues |
| 8195 | { |
| 8196 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8197 | 1.f, 4.f, |
| 8198 | 4.f, 2.f, |
| 8199 | 1.f, 6.f, |
| 8200 | |
| 8201 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8202 | 1.f, 1.f, |
| 8203 | 4.f, 1.f, |
| 8204 | -2.f, 4.f |
| 8205 | }; |
| 8206 | std::vector<float> expectedOutputValues |
| 8207 | { |
| 8208 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8209 | 1.f, 4.f, |
| 8210 | 4.f, 2.f, |
| 8211 | 1.f, 6.f, |
| 8212 | |
| 8213 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8214 | 3.f, 3.f, |
| 8215 | 4.f, 3.f, |
| 8216 | 2.f, 4.f |
| 8217 | }; |
| 8218 | |
| 8219 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16>( |
| 8220 | workloadFactory, memoryManager, |
| 8221 | inputOutputShape, inputValues, expectedOutputValues, |
| 8222 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
| 8223 | } |
| 8224 | |
| 8225 | LayerTestResult<int16_t, 4> BatchNormInt16NhwcTest( |
| 8226 | armnn::IWorkloadFactory& workloadFactory, |
| 8227 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8228 | { |
| 8229 | // BatchSize: 1 |
| 8230 | // Height: 3 |
| 8231 | // Width: 2 |
| 8232 | // Channels: 2 |
| 8233 | |
| 8234 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8235 | std::vector<float> inputValues |
| 8236 | { |
| 8237 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8238 | 1.f, 1.f, |
| 8239 | 4.f, 1.f, |
| 8240 | |
| 8241 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8242 | 4.f, 4.f, |
| 8243 | 2.f, 1.f, |
| 8244 | |
| 8245 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8246 | 1.f, -2.f, |
| 8247 | 6.f, 4.f |
| 8248 | }; |
| 8249 | std::vector<float> expectedOutputValues |
| 8250 | { |
| 8251 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8252 | 1.f, 3.f, |
| 8253 | 4.f, 3.f, |
| 8254 | |
| 8255 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8256 | 4.f, 4.f, |
| 8257 | 2.f, 3.f, |
| 8258 | |
| 8259 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8260 | 1.f, 2.f, |
| 8261 | 6.f, 4.f |
| 8262 | }; |
| 8263 | |
| 8264 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16> |
| 8265 | (workloadFactory, memoryManager, |
| 8266 | inputOutputShape, inputValues, expectedOutputValues, |
| 8267 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
| 8268 | } |
| 8269 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8270 | LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8271 | armnn::IWorkloadFactory& workloadFactory, |
| 8272 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8273 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8274 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8275 | } |
| 8276 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8277 | LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest( |
| 8278 | armnn::IWorkloadFactory& workloadFactory, |
| 8279 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8280 | { |
| 8281 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 2e-6f, 1); |
| 8282 | } |
| 8283 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8284 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 8285 | armnn::IWorkloadFactory& workloadFactory, |
| 8286 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8287 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8288 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8289 | } |
| 8290 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8291 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 8292 | armnn::IWorkloadFactory& workloadFactory, |
| 8293 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8294 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8295 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8296 | } |
| 8297 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8298 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 8299 | armnn::IWorkloadFactory& workloadFactory, |
| 8300 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8301 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8302 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8303 | } |
| 8304 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8305 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 8306 | armnn::IWorkloadFactory& workloadFactory, |
| 8307 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8308 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8309 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8310 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8311 | } |
| 8312 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8313 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 8314 | armnn::IWorkloadFactory& workloadFactory, |
| 8315 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8316 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8317 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8318 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8319 | } |
| 8320 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8321 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 8322 | armnn::IWorkloadFactory& workloadFactory, |
| 8323 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8324 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8325 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8326 | } |
| 8327 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8328 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 8329 | armnn::IWorkloadFactory& workloadFactory, |
| 8330 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8331 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8332 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8333 | } |
| 8334 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8335 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 8336 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8338 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8339 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8340 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8341 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8342 | } |
| 8343 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8344 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 8345 | armnn::IWorkloadFactory& workloadFactory, |
| 8346 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8347 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8348 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8349 | } |
| 8350 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8351 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 8352 | armnn::IWorkloadFactory& workloadFactory, |
| 8353 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8354 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8355 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8356 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8357 | } |
| 8358 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8359 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 8360 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8361 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8362 | bool useSubtensor) |
| 8363 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8364 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8365 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8366 | } |
| 8367 | |
| 8368 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 8369 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8370 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8371 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8372 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8373 | } |
| 8374 | |
| 8375 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 8376 | armnn::IWorkloadFactory& workloadFactory, |
| 8377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8378 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8379 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8380 | } |
| 8381 | |
| 8382 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 8383 | armnn::IWorkloadFactory& workloadFactory, |
| 8384 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8385 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8386 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8387 | } |
| 8388 | |
| 8389 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 8390 | armnn::IWorkloadFactory& workloadFactory, |
| 8391 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 8392 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8393 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8394 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8395 | } |
| 8396 | |
| 8397 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 8398 | armnn::IWorkloadFactory& workloadFactory, |
| 8399 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8400 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8401 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8402 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8403 | } |
| 8404 | |
| 8405 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 8406 | armnn::IWorkloadFactory& workloadFactory, |
| 8407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8408 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8409 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8410 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8411 | } |
| 8412 | |
| 8413 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 8414 | armnn::IWorkloadFactory& workloadFactory, |
| 8415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8416 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8417 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8418 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8419 | } |
| 8420 | |
| 8421 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 8422 | armnn::IWorkloadFactory& workloadFactory, |
| 8423 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8424 | bool useSubtensor) |
| 8425 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8426 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8427 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8428 | } |
| 8429 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8430 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 8431 | armnn::IWorkloadFactory& workloadFactory, |
| 8432 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8433 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8434 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8435 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 8436 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8437 | } |
| 8438 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8439 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 8440 | armnn::IWorkloadFactory& workloadFactory, |
| 8441 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8442 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8443 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8444 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8445 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8446 | } |
| 8447 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8448 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test( |
| 8449 | armnn::IWorkloadFactory& workloadFactory, |
| 8450 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8451 | bool forceNoPadding) |
| 8452 | { |
| 8453 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8454 | workloadFactory, memoryManager, forceNoPadding); |
| 8455 | } |
| 8456 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8457 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 8458 | armnn::IWorkloadFactory& workloadFactory, |
| 8459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8460 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8461 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8462 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 8463 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8464 | } |
| 8465 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8466 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 8467 | armnn::IWorkloadFactory& workloadFactory, |
| 8468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8469 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8470 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8471 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8472 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8473 | } |
| 8474 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8475 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test( |
| 8476 | armnn::IWorkloadFactory& workloadFactory, |
| 8477 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8478 | bool forceNoPadding) |
| 8479 | { |
| 8480 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8481 | workloadFactory, memoryManager, forceNoPadding); |
| 8482 | } |
| 8483 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8484 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 8485 | armnn::IWorkloadFactory& workloadFactory, |
| 8486 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8487 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8488 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8489 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8490 | } |
| 8491 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8492 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 8493 | armnn::IWorkloadFactory& workloadFactory, |
| 8494 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8495 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8496 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8497 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8498 | } |
| 8499 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8500 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test( |
| 8501 | armnn::IWorkloadFactory& workloadFactory, |
| 8502 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8503 | const armnn::DataLayout dataLayout) |
| 8504 | { |
| 8505 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 8506 | } |
| 8507 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 8508 | armnn::IWorkloadFactory& workloadFactory, |
| 8509 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8510 | { |
| 8511 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8512 | } |
| 8513 | |
| 8514 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 8515 | armnn::IWorkloadFactory& workloadFactory, |
| 8516 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8517 | { |
| 8518 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8519 | workloadFactory, memoryManager, 1.0f, -5); |
| 8520 | } |
| 8521 | |
| 8522 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test( |
| 8523 | armnn::IWorkloadFactory& workloadFactory, |
| 8524 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8525 | { |
| 8526 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8527 | workloadFactory, memoryManager); |
| 8528 | } |
| 8529 | |
| 8530 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 8531 | armnn::IWorkloadFactory& workloadFactory, |
| 8532 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8533 | { |
| 8534 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8535 | } |
| 8536 | |
| 8537 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 8538 | armnn::IWorkloadFactory& workloadFactory, |
| 8539 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8540 | { |
| 8541 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8542 | workloadFactory, memoryManager, 1.0f, -5); |
| 8543 | } |
| 8544 | |
| 8545 | LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test( |
| 8546 | armnn::IWorkloadFactory& workloadFactory, |
| 8547 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8548 | { |
| 8549 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8550 | workloadFactory, memoryManager); |
| 8551 | } |
| 8552 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8553 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 8554 | armnn::IWorkloadFactory& workloadFactory, |
| 8555 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8556 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8557 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8558 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8559 | } |
| 8560 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8561 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 8562 | armnn::IWorkloadFactory& workloadFactory, |
| 8563 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8564 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8565 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8566 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8567 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8568 | } |
| 8569 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8570 | LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test( |
| 8571 | armnn::IWorkloadFactory& workloadFactory, |
| 8572 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8573 | const armnn::DataLayout dataLayout) |
| 8574 | { |
| 8575 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8576 | workloadFactory, memoryManager, dataLayout); |
| 8577 | } |
| 8578 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8579 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 8580 | armnn::IWorkloadFactory& workloadFactory, |
| 8581 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8582 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8583 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8584 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8585 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8586 | } |
| 8587 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8588 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 8589 | armnn::IWorkloadFactory& workloadFactory, |
| 8590 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8591 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8592 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8593 | } |
| 8594 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8595 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 8596 | armnn::IWorkloadFactory& workloadFactory, |
| 8597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8598 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8599 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8600 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8601 | } |
| 8602 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8603 | LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test( |
| 8604 | armnn::IWorkloadFactory& workloadFactory, |
| 8605 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8606 | { |
| 8607 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8608 | workloadFactory, memoryManager); |
| 8609 | } |
| 8610 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 8611 | armnn::IWorkloadFactory& workloadFactory, |
| 8612 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8613 | { |
| 8614 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8615 | } |
| 8616 | |
| 8617 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 8618 | armnn::IWorkloadFactory& workloadFactory, |
| 8619 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8620 | { |
| 8621 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8622 | workloadFactory, memoryManager); |
| 8623 | } |
| 8624 | |
| 8625 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test( |
| 8626 | armnn::IWorkloadFactory& workloadFactory, |
| 8627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8628 | { |
| 8629 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8630 | workloadFactory, memoryManager); |
| 8631 | } |
| 8632 | |
| 8633 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 8634 | armnn::IWorkloadFactory& workloadFactory, |
| 8635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8636 | { |
| 8637 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 8638 | workloadFactory, memoryManager); |
| 8639 | } |
| 8640 | |
| 8641 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
| 8642 | armnn::IWorkloadFactory& workloadFactory, |
| 8643 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8644 | { |
| 8645 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8646 | workloadFactory, memoryManager); |
| 8647 | } |
| 8648 | |
| 8649 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test( |
| 8650 | armnn::IWorkloadFactory& workloadFactory, |
| 8651 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8652 | { |
| 8653 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8654 | workloadFactory, memoryManager); |
| 8655 | } |
| 8656 | |
| 8657 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 8658 | armnn::IWorkloadFactory& workloadFactory, |
| 8659 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8660 | { |
| 8661 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8662 | } |
| 8663 | |
| 8664 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 8665 | armnn::IWorkloadFactory& workloadFactory, |
| 8666 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8667 | { |
| 8668 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8669 | workloadFactory, memoryManager); |
| 8670 | } |
| 8671 | |
| 8672 | LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test( |
| 8673 | armnn::IWorkloadFactory& workloadFactory, |
| 8674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8675 | { |
| 8676 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8677 | workloadFactory, memoryManager); |
| 8678 | } |
| 8679 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8680 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 8681 | armnn::IWorkloadFactory& workloadFactory, |
| 8682 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8683 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8684 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8685 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8686 | } |
| 8687 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8688 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 8689 | armnn::IWorkloadFactory& workloadFactory, |
| 8690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8691 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8692 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8693 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8694 | } |
| 8695 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8696 | LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test( |
| 8697 | armnn::IWorkloadFactory& workloadFactory, |
| 8698 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8699 | const armnn::DataLayout dataLayout) |
| 8700 | { |
| 8701 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 8702 | } |
| 8703 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8704 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 8705 | armnn::IWorkloadFactory& workloadFactory, |
| 8706 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8707 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8708 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8709 | } |
| 8710 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8711 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 8712 | armnn::IWorkloadFactory& workloadFactory, |
| 8713 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8714 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8715 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8716 | } |
| 8717 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8718 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test( |
| 8719 | armnn::IWorkloadFactory& workloadFactory, |
| 8720 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8721 | { |
| 8722 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8723 | } |
| 8724 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8725 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 8726 | armnn::IWorkloadFactory& workloadFactory, |
| 8727 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8728 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8729 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8730 | } |
| 8731 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8732 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 8733 | armnn::IWorkloadFactory& workloadFactory, |
| 8734 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8735 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8736 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8737 | } |
| 8738 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8739 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test( |
| 8740 | armnn::IWorkloadFactory& workloadFactory, |
| 8741 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8742 | { |
| 8743 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8744 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8745 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 8746 | armnn::IWorkloadFactory& workloadFactory, |
| 8747 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8748 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8749 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8750 | } |
| 8751 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8752 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 8753 | armnn::IWorkloadFactory& workloadFactory, |
| 8754 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8755 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8756 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8757 | } |
| 8758 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8759 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test( |
| 8760 | armnn::IWorkloadFactory& workloadFactory, |
| 8761 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8762 | { |
| 8763 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8764 | } |
| 8765 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8766 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 8767 | armnn::IWorkloadFactory& workloadFactory, |
| 8768 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8769 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8770 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8771 | } |
| 8772 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8773 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 8774 | armnn::IWorkloadFactory& workloadFactory, |
| 8775 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8776 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8777 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8778 | } |
| 8779 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8780 | LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test( |
| 8781 | armnn::IWorkloadFactory& workloadFactory, |
| 8782 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8783 | { |
| 8784 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8785 | } |
| 8786 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8787 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 8788 | armnn::IWorkloadFactory& workloadFactory, |
| 8789 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8790 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8791 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8792 | } |
| 8793 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8794 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 8795 | armnn::IWorkloadFactory& workloadFactory, |
| 8796 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8797 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8798 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8799 | } |
| 8800 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8801 | LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test( |
| 8802 | armnn::IWorkloadFactory& workloadFactory, |
| 8803 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8804 | { |
| 8805 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8806 | } |
| 8807 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 8808 | armnn::IWorkloadFactory& workloadFactory, |
| 8809 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8810 | { |
| 8811 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8812 | } |
| 8813 | |
| 8814 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 8815 | armnn::IWorkloadFactory& workloadFactory, |
| 8816 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8817 | { |
| 8818 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 8819 | } |
| 8820 | |
| 8821 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test( |
| 8822 | armnn::IWorkloadFactory& workloadFactory, |
| 8823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8824 | { |
| 8825 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8826 | } |
| 8827 | |
| 8828 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 8829 | armnn::IWorkloadFactory& workloadFactory, |
| 8830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8831 | { |
| 8832 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8833 | } |
| 8834 | |
| 8835 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 8836 | armnn::IWorkloadFactory& workloadFactory, |
| 8837 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8838 | { |
| 8839 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 8840 | } |
| 8841 | |
| 8842 | LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test( |
| 8843 | armnn::IWorkloadFactory& workloadFactory, |
| 8844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8845 | { |
| 8846 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8847 | } |
| 8848 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8849 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 8850 | armnn::IWorkloadFactory& workloadFactory, |
| 8851 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8852 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8853 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8854 | } |
| 8855 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8856 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 8857 | armnn::IWorkloadFactory& workloadFactory, |
| 8858 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8859 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8860 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8861 | } |
| 8862 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8863 | LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test( |
| 8864 | armnn::IWorkloadFactory& workloadFactory, |
| 8865 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8866 | { |
| 8867 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8868 | } |
| 8869 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8870 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 8871 | armnn::IWorkloadFactory& workloadFactory, |
| 8872 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8873 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8874 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8875 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8876 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8877 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8878 | } |
| 8879 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8880 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 8881 | armnn::IWorkloadFactory& workloadFactory, |
| 8882 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8883 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8884 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8885 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8886 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8887 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8888 | } |
| 8889 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8890 | LayerTestResult<int16_t, 4> ComparePooling2dInt16Test( |
| 8891 | armnn::IWorkloadFactory& workloadFactory, |
| 8892 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8893 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8894 | armnn::PoolingAlgorithm poolingType) |
| 8895 | { |
| 8896 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8897 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 8898 | } |
| 8899 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8900 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 8901 | armnn::IWorkloadFactory& workloadFactory, |
| 8902 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8903 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8904 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8905 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8906 | } |
| 8907 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8908 | LayerTestResult<float, 4> SimplePermuteFloat32Test( |
| 8909 | armnn::IWorkloadFactory& workloadFactory, |
| 8910 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8911 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8912 | return SimplePermuteFloat32TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8913 | }; |
| 8914 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8915 | LayerTestResult<uint8_t, 4> SimplePermuteUint8Test( |
| 8916 | armnn::IWorkloadFactory& workloadFactory, |
| 8917 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8918 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8919 | return SimplePermuteUint8TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8920 | }; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8921 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8922 | LayerTestResult<float, 4> PermuteFloat32ValueSet1Test( |
| 8923 | armnn::IWorkloadFactory& workloadFactory, |
| 8924 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8925 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8926 | return PermuteFloat32ValueSet1TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8927 | }; |
| 8928 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8929 | LayerTestResult<float, 4> PermuteFloat32ValueSet2Test( |
| 8930 | armnn::IWorkloadFactory& workloadFactory, |
| 8931 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8932 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8933 | return PermuteFloat32ValueSet2TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8934 | }; |
| 8935 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8936 | LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( |
| 8937 | armnn::IWorkloadFactory& workloadFactory, |
| 8938 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8939 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8940 | return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8941 | }; |
| 8942 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8943 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 8944 | armnn::IWorkloadFactory& workloadFactory, |
| 8945 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8946 | { |
| 8947 | // Create Initial Tensor |
| 8948 | // 1, 2, 3 |
| 8949 | // 4, 5, 6 |
| 8950 | // 7, 8, 9 |
| 8951 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8952 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 8953 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8954 | |
| 8955 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 8956 | {1, 2, 3, |
| 8957 | 4, 5, 6, |
| 8958 | 7, 8, 9 |
| 8959 | }); |
| 8960 | |
| 8961 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 8962 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 8963 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 8964 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 8965 | |
| 8966 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 8967 | // Result = |
| 8968 | // 1, 3 |
| 8969 | // 7, 9 |
| 8970 | armnn::Pooling2dDescriptor descriptor; |
| 8971 | descriptor.m_PoolHeight = 1; |
| 8972 | descriptor.m_PoolWidth = 1; |
| 8973 | descriptor.m_StrideX = 2; |
| 8974 | descriptor.m_StrideY = 2; |
| 8975 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 8976 | |
| 8977 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 8978 | queueDescriptor.m_Parameters = descriptor; |
| 8979 | armnn::WorkloadInfo workloadInfo; |
| 8980 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 8981 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8982 | |
| 8983 | // Create the MaxPool |
| 8984 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 8985 | |
| 8986 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 8987 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 8988 | boost::multi_array<float, 4> resultMaxPool; |
| 8989 | resultMaxPool.resize(shape); |
| 8990 | |
| 8991 | |
| 8992 | // Create addition with another tensor the same size |
| 8993 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 8994 | // with the initial tensor. |
| 8995 | // 12, 16 |
| 8996 | // 24, 28 |
| 8997 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8998 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 8999 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9000 | |
| 9001 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 9002 | {12, 16, |
| 9003 | 24, 28, |
| 9004 | }); |
| 9005 | |
| 9006 | // Expected output tensor after MaxPool and Addition. |
| 9007 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 9008 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 9009 | { |
| 9010 | 13, 19, |
| 9011 | 31, 37 |
| 9012 | })); |
| 9013 | |
| 9014 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 9015 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 9016 | |
| 9017 | armnn::AdditionQueueDescriptor data; |
| 9018 | armnn::WorkloadInfo info; |
| 9019 | |
| 9020 | // Add the output of the MaxPool and the new tensor |
| 9021 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9022 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 9023 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 9024 | |
| 9025 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 9026 | |
| 9027 | poolingInputHandle->Allocate(); |
| 9028 | poolingOutputHandle->Allocate(); |
| 9029 | addInputHandle->Allocate(); |
| 9030 | addOutputHandle->Allocate(); |
| 9031 | |
| 9032 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 9033 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 9034 | |
| 9035 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 9036 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 9037 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9038 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9039 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9040 | addWorkload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9041 | addWorkload->Execute(); |
| 9042 | |
| 9043 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 9044 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9045 | return addRet; |
| 9046 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9047 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9048 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 9049 | armnn::IWorkloadFactory& workloadFactory, |
| 9050 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9051 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9052 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9053 | } |
| 9054 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9055 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 9056 | armnn::IWorkloadFactory& workloadFactory, |
| 9057 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9058 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9059 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9060 | } |
| 9061 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9062 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 9063 | armnn::IWorkloadFactory& workloadFactory, |
| 9064 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9065 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9066 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9067 | } |
| 9068 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9069 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 9070 | armnn::IWorkloadFactory& workloadFactory, |
| 9071 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9072 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9073 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9074 | } |
| 9075 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9076 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 9077 | armnn::IWorkloadFactory& workloadFactory, |
| 9078 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9079 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9080 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9081 | } |
| 9082 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9083 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 9084 | armnn::IWorkloadFactory& workloadFactory, |
| 9085 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9086 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9087 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9088 | } |
| 9089 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9090 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 9091 | armnn::IWorkloadFactory& workloadFactory, |
| 9092 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9093 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9094 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9095 | } |
| 9096 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9097 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 9098 | armnn::IWorkloadFactory& workloadFactory, |
| 9099 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9100 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9101 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9102 | } |
| 9103 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9104 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 9105 | armnn::IWorkloadFactory& workloadFactory, |
| 9106 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9107 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9108 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9109 | } |
| 9110 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9111 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 9112 | armnn::IWorkloadFactory& workloadFactory, |
| 9113 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9114 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9115 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9116 | } |
| 9117 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9118 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 9119 | armnn::IWorkloadFactory& workloadFactory, |
| 9120 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9121 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9122 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9123 | } |
| 9124 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9125 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 9126 | armnn::IWorkloadFactory& workloadFactory, |
| 9127 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9128 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9129 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9130 | } |
| 9131 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9132 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 9133 | armnn::IWorkloadFactory& workloadFactory, |
| 9134 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9135 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9136 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9137 | } |
| 9138 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9139 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 9140 | armnn::IWorkloadFactory& workloadFactory, |
| 9141 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9142 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9143 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9144 | } |
| 9145 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9146 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 9147 | armnn::IWorkloadFactory& workloadFactory, |
| 9148 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9149 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9150 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9151 | } |
| 9152 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9153 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 9154 | armnn::IWorkloadFactory& workloadFactory, |
| 9155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9156 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9157 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9158 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9159 | |
nikraj01 | 120522a | 2019-05-31 11:33:07 +0100 | [diff] [blame] | 9160 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test( |
| 9161 | armnn::IWorkloadFactory& workloadFactory, |
| 9162 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9163 | { |
| 9164 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9165 | } |
| 9166 | |
| 9167 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test( |
| 9168 | armnn::IWorkloadFactory& workloadFactory, |
| 9169 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9170 | { |
| 9171 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9172 | } |
| 9173 | |
| 9174 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test( |
| 9175 | armnn::IWorkloadFactory& workloadFactory, |
| 9176 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9177 | { |
| 9178 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9179 | } |
| 9180 | |
| 9181 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test( |
| 9182 | armnn::IWorkloadFactory& workloadFactory, |
| 9183 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9184 | { |
| 9185 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9186 | } |
| 9187 | |
| 9188 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNHWCUint16Test( |
| 9189 | armnn::IWorkloadFactory& workloadFactory, |
| 9190 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9191 | { |
| 9192 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9193 | } |
| 9194 | |
| 9195 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNHWCUint16Test( |
| 9196 | armnn::IWorkloadFactory& workloadFactory, |
| 9197 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9198 | { |
| 9199 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9200 | } |
| 9201 | |
| 9202 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNHWCUint16Test( |
| 9203 | armnn::IWorkloadFactory& workloadFactory, |
| 9204 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9205 | { |
| 9206 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9207 | } |
| 9208 | |
| 9209 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNHWCUint16Test( |
| 9210 | armnn::IWorkloadFactory& workloadFactory, |
| 9211 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9212 | { |
| 9213 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9214 | } |
| 9215 | |
Keith Davis | a57eccb | 2019-06-14 17:33:22 +0100 | [diff] [blame] | 9216 | |
| 9217 | LayerTestResult<uint8_t, 4> SpaceToDepthNHWCAsymmQ8Test( |
| 9218 | armnn::IWorkloadFactory& workloadFactory, |
| 9219 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9220 | { |
| 9221 | return SpaceToDepthSimpleTest<armnn::DataType::QuantisedAsymm8>( |
| 9222 | workloadFactory, |
| 9223 | memoryManager); |
| 9224 | } |
| 9225 | |
| 9226 | LayerTestResult<uint8_t, 4> SpaceToDepthNCHWAsymmQ8Test( |
| 9227 | armnn::IWorkloadFactory& workloadFactory, |
| 9228 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9229 | { |
| 9230 | return SpaceToDepthSimpleTest<armnn::DataType::QuantisedAsymm8>( |
| 9231 | workloadFactory, |
| 9232 | memoryManager, |
| 9233 | armnn::DataLayout::NCHW); |
| 9234 | } |
| 9235 | |
| 9236 | LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test( |
| 9237 | armnn::IWorkloadFactory& workloadFactory, |
| 9238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9239 | { |
| 9240 | return SpaceToDepthFloatTest<armnn::DataType::Float32>( |
| 9241 | workloadFactory, |
| 9242 | memoryManager); |
| 9243 | } |
| 9244 | |
| 9245 | LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test( |
| 9246 | armnn::IWorkloadFactory& workloadFactory, |
| 9247 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9248 | { |
| 9249 | return SpaceToDepthFloatTest<armnn::DataType::Float32>( |
| 9250 | workloadFactory, |
| 9251 | memoryManager, |
| 9252 | armnn::DataLayout::NCHW); |
| 9253 | } |
| 9254 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9255 | namespace { |
| 9256 | |
| 9257 | template<typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9258 | LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( |
| 9259 | armnn::IWorkloadFactory &workloadFactory, |
| 9260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9261 | const armnn::DataLayout& dataLayout, |
| 9262 | const unsigned int *inputShape, |
| 9263 | const std::vector<T> &inputData, |
| 9264 | const std::vector<unsigned int> &blockShape, |
| 9265 | const std::vector<std::pair<unsigned int, unsigned int>> &crops, |
| 9266 | const unsigned int *outputShape, |
| 9267 | const std::vector<T> &outputData, |
| 9268 | float scale = 1.0f, |
| 9269 | int32_t offset = 0) |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9270 | { |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9271 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
| 9272 | |
| 9273 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 9274 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 9275 | |
| 9276 | inputTensorInfo.SetQuantizationScale(scale); |
| 9277 | inputTensorInfo.SetQuantizationOffset(offset); |
| 9278 | |
| 9279 | outputTensorInfo.SetQuantizationScale(scale); |
| 9280 | outputTensorInfo.SetQuantizationOffset(offset); |
| 9281 | |
| 9282 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 9283 | |
| 9284 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 9285 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 9286 | |
| 9287 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 9288 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 9289 | |
| 9290 | armnn::BatchToSpaceNdQueueDescriptor data; |
| 9291 | data.m_Parameters.m_DataLayout = dataLayout; |
| 9292 | data.m_Parameters.m_BlockShape = blockShape; |
| 9293 | data.m_Parameters.m_Crops = crops; |
| 9294 | armnn::WorkloadInfo info; |
| 9295 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 9296 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 9297 | |
| 9298 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); |
| 9299 | |
| 9300 | inputHandle->Allocate(); |
| 9301 | outputHandle->Allocate(); |
| 9302 | |
| 9303 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 9304 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9305 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9306 | workload->Execute(); |
| 9307 | |
| 9308 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 9309 | |
| 9310 | return result; |
| 9311 | } |
| 9312 | |
| 9313 | } // anonymous namespace |
| 9314 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9315 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( |
| 9316 | armnn::IWorkloadFactory& workloadFactory, |
| 9317 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9318 | { |
| 9319 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9320 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9321 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9322 | std::vector<float> input({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9323 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9324 | 1.0f, 3.0f, |
| 9325 | // Batch 0, Height 1, Width (2) x Channel (1) |
| 9326 | 9.0f, 11.0f, |
| 9327 | |
| 9328 | |
| 9329 | // Batch 1, Height 0, Width (2) x Channel (1) |
| 9330 | 2.0f, 4.0f, |
| 9331 | // Batch 1, Height 1, Width (2) x Channel (1) |
| 9332 | 10.0f, 12.0f, |
| 9333 | |
| 9334 | |
| 9335 | // Batch 2, Height 0, Width (2) x Channel (1) |
| 9336 | 5.0f, 7.0f, |
| 9337 | // Batch 2, Height 1, Width (2) x Channel (1) |
| 9338 | 13.0f, 15.0f, |
| 9339 | |
| 9340 | // Batch 3, Height 0, Width (2) x Channel (3) |
| 9341 | 6.0f, 8.0f, |
| 9342 | // Batch 3, Height 1, Width (2) x Channel (1) |
| 9343 | 14.0f, 16.0f |
| 9344 | }); |
| 9345 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9346 | std::vector<float> expectedOutput({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9347 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9348 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9349 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9350 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9351 | }); |
| 9352 | |
| 9353 | std::vector<unsigned int> blockShape {2, 2}; |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9354 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9355 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9356 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9357 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9358 | crops, outputShape, expectedOutput); |
| 9359 | } |
| 9360 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9361 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( |
| 9362 | armnn::IWorkloadFactory& workloadFactory, |
| 9363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9364 | { |
| 9365 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9366 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9367 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9368 | std::vector<float> input({ |
| 9369 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9370 | 1.0f, 2.0f, 3.0f, 4.0f |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9371 | }); |
| 9372 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9373 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9374 | |
| 9375 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9376 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9377 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9378 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9379 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9380 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9381 | } |
| 9382 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9383 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( |
| 9384 | armnn::IWorkloadFactory& workloadFactory, |
| 9385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9386 | { |
| 9387 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9388 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9389 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9390 | std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9391 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9392 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9393 | |
| 9394 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9395 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9396 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9397 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9398 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9399 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9400 | } |
| 9401 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9402 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( |
| 9403 | armnn::IWorkloadFactory& workloadFactory, |
| 9404 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9405 | { |
| 9406 | const unsigned int inputShape[] = {8, 1, 3, 1}; |
| 9407 | const unsigned int outputShape[] = {2, 2, 4, 1}; |
| 9408 | |
| 9409 | std::vector<float> input({ |
| 9410 | 0.0f, 1.0f, 3.0f, |
| 9411 | 0.0f, 9.0f, 11.0f, |
| 9412 | 0.0f, 2.0f, 4.0f, |
| 9413 | 0.0f, 10.0f, 12.0f, |
| 9414 | 0.0f, 5.0f, 7.0f, |
| 9415 | 0.0f, 13.0f, 15.0f, |
| 9416 | 0.0f, 6.0f, 8.0f, |
| 9417 | 0.0f, 14.0f, 16.0f |
| 9418 | }); |
| 9419 | |
| 9420 | std::vector<float> expectedOutput({ |
| 9421 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9422 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9423 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9424 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9425 | }); |
| 9426 | |
| 9427 | std::vector<unsigned int> blockShape({2, 2}); |
| 9428 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9429 | |
| 9430 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9431 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9432 | crops, outputShape, expectedOutput); |
| 9433 | } |
| 9434 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9435 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( |
| 9436 | armnn::IWorkloadFactory &workloadFactory, |
| 9437 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9438 | { |
| 9439 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9440 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9441 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9442 | std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9443 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9444 | std::vector<float> expectedOutput({ |
| 9445 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9446 | 1.0f, 4.0f, |
| 9447 | 7.0f, 10.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9448 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9449 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9450 | 2.0f, 5.0f, |
| 9451 | 8.0f, 11.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9452 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9453 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9454 | 3.0f, 6.0f, |
| 9455 | 9.0f, 12.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9456 | }); |
| 9457 | |
| 9458 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9459 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9460 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9461 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9462 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9463 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9464 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9465 | |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9466 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9467 | armnn::IWorkloadFactory& workloadFactory, |
| 9468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9469 | { |
| 9470 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9471 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9472 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9473 | std::vector<float> input({ |
| 9474 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9475 | 1.0f, 2.0f, 3.0f, 4.0f |
| 9476 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9477 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9478 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9479 | |
| 9480 | std::vector<unsigned int> blockShape({2, 2}); |
| 9481 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9482 | |
| 9483 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9484 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9485 | crops, outputShape, expectedOutput); |
| 9486 | } |
| 9487 | |
| 9488 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9489 | armnn::IWorkloadFactory& workloadFactory, |
| 9490 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9491 | { |
| 9492 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9493 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9494 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9495 | std::vector<float> input({1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9496 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9497 | std::vector<float> expectedOutput({ |
| 9498 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9499 | 1.0f, 7.0f, |
| 9500 | 2.0f, 8.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9501 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9502 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9503 | 3.0f, 9.0f, |
| 9504 | 4.0f, 10.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9505 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9506 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9507 | 5.0f, 11.0f, |
| 9508 | 6.0f, 12.0f, |
| 9509 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9510 | |
| 9511 | std::vector<unsigned int> blockShape({2, 2}); |
| 9512 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9513 | |
| 9514 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9515 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9516 | crops, outputShape, expectedOutput); |
| 9517 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9518 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9519 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( |
| 9520 | armnn::IWorkloadFactory& workloadFactory, |
| 9521 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9522 | { |
| 9523 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
| 9524 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
| 9525 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9526 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); |
| 9527 | std::vector<uint8_t> expectedOutput({1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16}); |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9528 | |
| 9529 | std::vector<unsigned int> blockShape({2, 2}); |
| 9530 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9531 | |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 9532 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, |
| 9533 | input, blockShape, crops, outputShape, expectedOutput); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9534 | } |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9535 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9536 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( |
| 9537 | armnn::IWorkloadFactory& workloadFactory, |
| 9538 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9539 | { |
| 9540 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9541 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9542 | |
| 9543 | std::vector<uint8_t> input({ |
| 9544 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9545 | 1, 2, 3, 4 |
| 9546 | }); |
| 9547 | |
| 9548 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9549 | |
| 9550 | std::vector<unsigned int> blockShape({2, 2}); |
| 9551 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9552 | |
| 9553 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9554 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9555 | crops, outputShape, expectedOutput); |
| 9556 | } |
| 9557 | |
| 9558 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( |
| 9559 | armnn::IWorkloadFactory& workloadFactory, |
| 9560 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9561 | { |
| 9562 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9563 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9564 | |
| 9565 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9566 | |
| 9567 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9568 | |
| 9569 | std::vector<unsigned int> blockShape({2, 2}); |
| 9570 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9571 | |
| 9572 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9573 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9574 | crops, outputShape, expectedOutput); |
| 9575 | } |
| 9576 | |
| 9577 | |
| 9578 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( |
| 9579 | armnn::IWorkloadFactory &workloadFactory, |
| 9580 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9581 | { |
| 9582 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9583 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9584 | |
| 9585 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9586 | |
| 9587 | std::vector<uint8_t> expectedOutput({ |
| 9588 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9589 | 1, 4, |
| 9590 | 7, 10, |
| 9591 | |
| 9592 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9593 | 2, 5, |
| 9594 | 8, 11, |
| 9595 | |
| 9596 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9597 | 3, 6, |
| 9598 | 9, 12, |
| 9599 | }); |
| 9600 | |
| 9601 | std::vector<unsigned int> blockShape({2, 2}); |
| 9602 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9603 | |
| 9604 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9605 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9606 | crops, outputShape, expectedOutput); |
| 9607 | } |
| 9608 | |
| 9609 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( |
| 9610 | armnn::IWorkloadFactory& workloadFactory, |
| 9611 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9612 | { |
| 9613 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9614 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9615 | |
| 9616 | std::vector<uint8_t> input({ |
| 9617 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9618 | 1, 2, 3, 4 |
| 9619 | }); |
| 9620 | |
| 9621 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9622 | |
| 9623 | std::vector<unsigned int> blockShape({2, 2}); |
| 9624 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9625 | |
| 9626 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9627 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9628 | crops, outputShape, expectedOutput); |
| 9629 | } |
| 9630 | |
| 9631 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( |
| 9632 | armnn::IWorkloadFactory& workloadFactory, |
| 9633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9634 | { |
| 9635 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9636 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9637 | |
| 9638 | std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); |
| 9639 | |
| 9640 | std::vector<uint8_t> expectedOutput({ |
| 9641 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9642 | 1, 7, |
| 9643 | 2, 8, |
| 9644 | |
| 9645 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9646 | 3, 9, |
| 9647 | 4, 10, |
| 9648 | |
| 9649 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9650 | 5, 11, |
| 9651 | 6, 12, |
| 9652 | }); |
| 9653 | |
| 9654 | std::vector<unsigned int> blockShape({2, 2}); |
| 9655 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9656 | |
| 9657 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9658 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9659 | crops, outputShape, expectedOutput); |
| 9660 | } |
| 9661 | |
| 9662 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( |
| 9663 | armnn::IWorkloadFactory& workloadFactory, |
| 9664 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9665 | { |
| 9666 | const unsigned int inputShape[] = {8, 1, 1, 3}; |
| 9667 | const unsigned int outputShape[] = {2, 1, 2, 4}; |
| 9668 | |
| 9669 | std::vector<uint8_t> input({ |
| 9670 | 0, 1, 3, 0, 9, 11, |
| 9671 | 0, 2, 4, 0, 10, 12, |
| 9672 | 0, 5, 7, 0, 13, 15, |
| 9673 | 0, 6, 8, 0, 14, 16 |
| 9674 | }); |
| 9675 | |
| 9676 | std::vector<uint8_t> expectedOutput({ |
| 9677 | 1, 2, 3, 4, |
| 9678 | 5, 6, 7, 8, |
| 9679 | 9, 10, 11, 12, |
| 9680 | 13, 14, 15, 16 |
| 9681 | }); |
| 9682 | |
| 9683 | std::vector<unsigned int> blockShape({2, 2}); |
| 9684 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9685 | |
| 9686 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9687 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9688 | crops, outputShape, expectedOutput); |
| 9689 | } |
| 9690 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9691 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9692 | armnn::IWorkloadFactory& workloadFactory, |
| 9693 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9694 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9695 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9696 | } |
| 9697 | |
| 9698 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9699 | armnn::IWorkloadFactory& workloadFactory, |
| 9700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9701 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9702 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9703 | } |
| 9704 | |
| 9705 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9706 | armnn::IWorkloadFactory& workloadFactory, |
| 9707 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9708 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9709 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9710 | } |
| 9711 | |
| 9712 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9713 | armnn::IWorkloadFactory& workloadFactory, |
| 9714 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9715 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9716 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9717 | } |
| 9718 | |
| 9719 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 9720 | armnn::IWorkloadFactory& workloadFactory, |
| 9721 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9722 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9723 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9724 | } |
| 9725 | |
| 9726 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 9727 | armnn::IWorkloadFactory& workloadFactory, |
| 9728 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9729 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9730 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9731 | } |
| 9732 | |
| 9733 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 9734 | armnn::IWorkloadFactory& workloadFactory, |
| 9735 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9736 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9737 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9738 | } |
| 9739 | |
| 9740 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 9741 | armnn::IWorkloadFactory& workloadFactory, |
| 9742 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9743 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9744 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9745 | } |
| 9746 | |
| 9747 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 9748 | armnn::IWorkloadFactory& workloadFactory, |
| 9749 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9750 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9751 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9752 | } |
| 9753 | |
| 9754 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 9755 | armnn::IWorkloadFactory& workloadFactory, |
| 9756 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9757 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9758 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9759 | } |
| 9760 | |
| 9761 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 9762 | armnn::IWorkloadFactory& workloadFactory, |
| 9763 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9764 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9765 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9766 | } |
| 9767 | |
| 9768 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 9769 | armnn::IWorkloadFactory& workloadFactory, |
| 9770 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9771 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9772 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9773 | } |
| 9774 | |
| 9775 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 9776 | armnn::IWorkloadFactory& workloadFactory, |
| 9777 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9778 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9779 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9780 | } |
| 9781 | |
| 9782 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 9783 | armnn::IWorkloadFactory& workloadFactory, |
| 9784 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9785 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9786 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9787 | } |
| 9788 | |
| 9789 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 9790 | armnn::IWorkloadFactory& workloadFactory, |
| 9791 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9792 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9793 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9794 | } |
| 9795 | |
| 9796 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 9797 | armnn::IWorkloadFactory& workloadFactory, |
| 9798 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9799 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9800 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9801 | } |
| 9802 | |
| 9803 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 9804 | armnn::IWorkloadFactory& workloadFactory, |
| 9805 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9806 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9807 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9808 | } |
| 9809 | |
| 9810 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 9811 | armnn::IWorkloadFactory& workloadFactory, |
| 9812 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9813 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9814 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9815 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9816 | |
Matteo Martincigh | 42666a1 | 2019-05-29 08:53:41 +0100 | [diff] [blame] | 9817 | LayerTestResult<int16_t, 4> StridedSlice4DInt16Test( |
| 9818 | armnn::IWorkloadFactory& workloadFactory, |
| 9819 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9820 | { |
| 9821 | return StridedSlice4DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9822 | } |
| 9823 | |
| 9824 | LayerTestResult<int16_t, 4> StridedSlice4DReverseInt16Test( |
| 9825 | armnn::IWorkloadFactory& workloadFactory, |
| 9826 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9827 | { |
| 9828 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9829 | } |
| 9830 | |
| 9831 | LayerTestResult<int16_t, 4> StridedSliceSimpleStrideInt16Test( |
| 9832 | armnn::IWorkloadFactory& workloadFactory, |
| 9833 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9834 | { |
| 9835 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9836 | } |
| 9837 | |
| 9838 | LayerTestResult<int16_t, 4> StridedSliceSimpleRangeMaskInt16Test( |
| 9839 | armnn::IWorkloadFactory& workloadFactory, |
| 9840 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9841 | { |
| 9842 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9843 | } |
| 9844 | |
| 9845 | LayerTestResult<int16_t, 2> StridedSliceShrinkAxisMaskInt16Test( |
| 9846 | armnn::IWorkloadFactory& workloadFactory, |
| 9847 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9848 | { |
| 9849 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9850 | } |
| 9851 | |
| 9852 | LayerTestResult<int16_t, 3> StridedSlice3DInt16Test( |
| 9853 | armnn::IWorkloadFactory& workloadFactory, |
| 9854 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9855 | { |
| 9856 | return StridedSlice3DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9857 | } |
| 9858 | |
| 9859 | LayerTestResult<int16_t, 3> StridedSlice3DReverseInt16Test( |
| 9860 | armnn::IWorkloadFactory& workloadFactory, |
| 9861 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9862 | { |
| 9863 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9864 | } |
| 9865 | |
| 9866 | LayerTestResult<int16_t, 2> StridedSlice2DInt16Test( |
| 9867 | armnn::IWorkloadFactory& workloadFactory, |
| 9868 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9869 | { |
| 9870 | return StridedSlice2DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9871 | } |
| 9872 | |
| 9873 | LayerTestResult<int16_t, 2> StridedSlice2DReverseInt16Test( |
| 9874 | armnn::IWorkloadFactory& workloadFactory, |
| 9875 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9876 | { |
| 9877 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9878 | } |
| 9879 | |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9880 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 9881 | armnn::IWorkloadFactory& workloadFactory, |
| 9882 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9883 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9884 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9885 | } |
| 9886 | |
| 9887 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 9888 | armnn::IWorkloadFactory& workloadFactory, |
| 9889 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9890 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9891 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9892 | } |
| 9893 | |
| 9894 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 9895 | armnn::IWorkloadFactory& workloadFactory, |
| 9896 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9897 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9898 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9899 | } |
| 9900 | |
| 9901 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 9902 | armnn::IWorkloadFactory& workloadFactory, |
| 9903 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9904 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9905 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9906 | } |
| 9907 | |
| 9908 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 9909 | armnn::IWorkloadFactory& workloadFactory, |
| 9910 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9911 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9912 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9913 | } |
| 9914 | |
| 9915 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 9916 | armnn::IWorkloadFactory& workloadFactory, |
| 9917 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9918 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9919 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9920 | } |
| 9921 | |
| 9922 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 9923 | armnn::IWorkloadFactory& workloadFactory, |
| 9924 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9925 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9926 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9927 | } |
| 9928 | |
| 9929 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 9930 | armnn::IWorkloadFactory& workloadFactory, |
| 9931 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9932 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9933 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9934 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 9935 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 9936 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 9937 | armnn::IWorkloadFactory& workloadFactory, |
| 9938 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9939 | { |
| 9940 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9941 | } |
| 9942 | |
| 9943 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 9944 | armnn::IWorkloadFactory& workloadFactory, |
| 9945 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9946 | { |
| 9947 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9948 | } |
| 9949 | |
| 9950 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 9951 | armnn::IWorkloadFactory& workloadFactory, |
| 9952 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9953 | { |
| 9954 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9955 | } |
| 9956 | |
| 9957 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 9958 | armnn::IWorkloadFactory& workloadFactory, |
| 9959 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9960 | { |
| 9961 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9962 | } |
| 9963 | |
| 9964 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 9965 | armnn::IWorkloadFactory& workloadFactory, |
| 9966 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9967 | { |
| 9968 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9969 | } |
| 9970 | |
| 9971 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 9972 | armnn::IWorkloadFactory& workloadFactory, |
| 9973 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9974 | { |
| 9975 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9976 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 9977 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9978 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9979 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9980 | armnn::IWorkloadFactory& workloadFactory, |
| 9981 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9982 | { |
| 9983 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9984 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9985 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9986 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 9987 | armnn::IWorkloadFactory& workloadFactory, |
| 9988 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9989 | { |
| 9990 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9991 | } |
| 9992 | |
| 9993 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 9994 | armnn::IWorkloadFactory& workloadFactory, |
| 9995 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9996 | { |
| 9997 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9998 | } |
| 9999 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 10000 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 10001 | armnn::IWorkloadFactory& workloadFactory, |
| 10002 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10003 | { |
| 10004 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10005 | } |
| 10006 | |
| 10007 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 10008 | armnn::IWorkloadFactory& workloadFactory, |
| 10009 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10010 | { |
| 10011 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 10012 | } |
| 10013 | |
| 10014 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 10015 | armnn::IWorkloadFactory& workloadFactory, |
| 10016 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 10017 | { |
| 10018 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 10019 | } |