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" |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8 | #include "TypeUtils.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" |
| 33 | #include "ReshapeTestImpl.hpp" |
| 34 | #include "FullyConnectedTestImpl.hpp" |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 35 | #include "GatherTestImpl.hpp" |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 36 | #include "SpaceToBatchNdTestImpl.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" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 46 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 47 | // 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] | 48 | static std::vector<float> ConvInput3x8x16({ |
| 49 | 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, |
| 50 | 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, |
| 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 | 0.5f, 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, |
| 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, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 58 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 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 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 66 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 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 | }); |
| 74 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 75 | // 2-channel bias used by a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 76 | static std::vector<float> Bias2({0, 2}); |
| 77 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 78 | // 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] | 79 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 80 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale, int32_t qOffset) |
| 81 | { |
| 82 | if(biasEnabled) |
| 83 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 84 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 85 | boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(qScale, qOffset, Bias2)); |
| 86 | return bias; |
| 87 | } |
| 88 | else |
| 89 | { |
| 90 | return boost::multi_array<T, 1>(); |
| 91 | } |
| 92 | } |
| 93 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 94 | 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] | 95 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 96 | armnn::IWorkloadFactory& workloadFactory, |
| 97 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 98 | float qScale, |
| 99 | int32_t qOffset, |
| 100 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 101 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 102 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 103 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 104 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 105 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 106 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 107 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 108 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 109 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 110 | QuantizedVector<T>(qScale, qOffset, { |
| 111 | 1, 1, 1, |
| 112 | 1, -1, 1, |
| 113 | 1, 1, 1, |
| 114 | 1, 1, 1, |
| 115 | 1, 1, 1, |
| 116 | |
| 117 | 0, 0, 0, |
| 118 | 0, 0, 0, |
| 119 | 0, 0, 0, |
| 120 | 0, 0, 0, |
| 121 | 0, 0, 0, |
| 122 | |
| 123 | 2, 2, 2, |
| 124 | 2, 2, 2, |
| 125 | 2, 2, 2, |
| 126 | 2, 2, 2, |
| 127 | 2, 2, 2, |
| 128 | |
| 129 | |
| 130 | 0, 0, 0, |
| 131 | 0, 0, 0, |
| 132 | 0, 0, 0, |
| 133 | 0, 0, 0, |
| 134 | 0, 0, 0, |
| 135 | |
| 136 | 1, 1, 1, |
| 137 | 1, 1, 1, |
| 138 | 1, 1, 1, |
| 139 | 1, 1, 1, |
| 140 | 1, 1, 1, |
| 141 | |
| 142 | 0, 0, 0, |
| 143 | 0, 0, 0, |
| 144 | 0, 0, 0, |
| 145 | 0, 0, 0, |
| 146 | 0, 0, 0 |
| 147 | }))); |
| 148 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 149 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 150 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 151 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 152 | QuantizedVector<T>(qScale, qOffset, { |
| 153 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 154 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 155 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 156 | -23.5f, -23.5f, -23.5f, |
| 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 | |
| 160 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 161 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 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 | }))); |
| 165 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 166 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 167 | workloadFactory, |
| 168 | memoryManager, |
| 169 | input, |
| 170 | kernel, |
| 171 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 172 | expectedOutput, |
| 173 | qScale, |
| 174 | qOffset, |
| 175 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 176 | } |
| 177 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 178 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 179 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 180 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 181 | armnn::IWorkloadFactory& workloadFactory, |
| 182 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 183 | float qScale, |
| 184 | int32_t qOffset, |
| 185 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 186 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 187 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 188 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
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 common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 191 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 192 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 193 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 194 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 195 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 196 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 197 | QuantizedVector<T>(qScale, qOffset, { |
| 198 | 1, 1, 1, |
| 199 | 1, -1, 1, |
| 200 | 1, 1, 1, |
| 201 | |
| 202 | 0, 0, 0, |
| 203 | 0, 0, 0, |
| 204 | 0, 0, 0, |
| 205 | |
| 206 | 2, 2, 2, |
| 207 | 2, 2, 2, |
| 208 | 2, 2, 2, |
| 209 | |
| 210 | |
| 211 | 0, 0, 0, |
| 212 | 0, 0, 0, |
| 213 | 0, 0, 0, |
| 214 | |
| 215 | 1, 1, 1, |
| 216 | 1, 1, 1, |
| 217 | 1, 1, 1, |
| 218 | |
| 219 | 0, 0, 0, |
| 220 | 0, 0, 0, |
| 221 | 0, 0, 0 |
| 222 | }))); |
| 223 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 224 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 225 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 226 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 227 | QuantizedVector<T>(qScale, qOffset, { |
| 228 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 229 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 230 | -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, |
| 231 | -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, |
| 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 | |
| 235 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 236 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 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 | }))); |
| 242 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 243 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 244 | workloadFactory, |
| 245 | memoryManager, |
| 246 | input, |
| 247 | kernel, |
| 248 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 249 | expectedOutput, |
| 250 | qScale, |
| 251 | qOffset, |
| 252 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 253 | } |
| 254 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 255 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 256 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 257 | armnn::IWorkloadFactory& workloadFactory, |
| 258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 259 | float qScale, |
| 260 | int32_t qOffset, |
| 261 | bool biasEnabled, |
| 262 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 263 | { |
| 264 | // Use common single-batch 5x5 image. |
| 265 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 266 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 267 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 268 | { |
| 269 | 1, 5, 2, 3, |
| 270 | 8, 7, 3, 6, |
| 271 | 3, 3, 9, 1 |
| 272 | }); |
| 273 | |
| 274 | |
| 275 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 276 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 277 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 278 | 4, 5, 6, |
| 279 | 0, 0, 0, |
| 280 | 3, 2, 1 |
| 281 | }); |
| 282 | |
| 283 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 284 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 285 | |
| 286 | const std::vector<float> outputData = |
| 287 | { |
| 288 | 23, 41, 33, 21, |
| 289 | 44, 65, 76, 52, |
| 290 | 82, 85, 79, 42 |
| 291 | }; |
| 292 | |
| 293 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 294 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 295 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 296 | workloadFactory, |
| 297 | memoryManager, |
| 298 | input, |
| 299 | kernel, |
| 300 | boost::multi_array<T, 1>(), |
| 301 | expectedOutput, |
| 302 | dataLayout, |
| 303 | qScale, |
| 304 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 305 | } |
| 306 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 307 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 308 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 309 | armnn::IWorkloadFactory& workloadFactory, |
| 310 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 311 | float qScale, |
| 312 | int32_t qOffset, |
| 313 | bool biasEnabled, |
| 314 | const armnn::DataLayout& dataLayout) |
| 315 | { |
| 316 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 317 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 318 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 319 | { |
| 320 | 1, 5, 2, 3, 5, |
| 321 | 8, 7, 3, 6, 3, |
| 322 | 3, 3, 9, 1, 9, |
| 323 | 4, 1, 8, 1, 3, |
| 324 | 6, 8, 1, 9, 2 |
| 325 | }); |
| 326 | |
| 327 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 328 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 329 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 330 | { |
| 331 | 4, 5, 6, |
| 332 | 0, 0, 0, |
| 333 | 3, 2, 1 |
| 334 | }); |
| 335 | |
| 336 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 337 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 338 | |
| 339 | const std::vector<T> outputData = |
| 340 | { |
| 341 | 23, 33, 24, |
| 342 | 91, 99, 48, |
| 343 | 26, 50, 19 |
| 344 | }; |
| 345 | |
| 346 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 347 | |
| 348 | uint32_t padLeft = 1; |
| 349 | uint32_t padTop = 1; |
| 350 | uint32_t padRight = 1; |
| 351 | uint32_t padBottom = 1; |
| 352 | uint32_t strideX = 2; |
| 353 | uint32_t strideY = 2; |
| 354 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 355 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 356 | workloadFactory, |
| 357 | memoryManager, |
| 358 | input, |
| 359 | kernel, |
| 360 | boost::multi_array<T, 1>(), |
| 361 | expectedOutput, |
| 362 | dataLayout, |
| 363 | qScale, |
| 364 | qOffset, |
| 365 | padLeft, |
| 366 | padTop, |
| 367 | padRight, |
| 368 | padBottom, |
| 369 | strideX, |
| 370 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 371 | } |
| 372 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 373 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 374 | armnn::IWorkloadFactory& workloadFactory, |
| 375 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 376 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 377 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 378 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 379 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 380 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 381 | } |
| 382 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 383 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 384 | armnn::IWorkloadFactory& workloadFactory, |
| 385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 386 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 387 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 388 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 389 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 390 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 391 | } |
| 392 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 393 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 394 | armnn::IWorkloadFactory& workloadFactory, |
| 395 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 396 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 397 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 398 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 399 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 400 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 401 | } |
| 402 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 403 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 404 | armnn::IWorkloadFactory& workloadFactory, |
| 405 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 406 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 407 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 408 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 409 | workloadFactory, |
| 410 | memoryManager, |
| 411 | 0.f, |
| 412 | 0, |
| 413 | biasEnabled, |
| 414 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 415 | } |
| 416 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 417 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 418 | armnn::IWorkloadFactory& workloadFactory, |
| 419 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 420 | bool biasEnabled, |
| 421 | const armnn::DataLayout layout) |
| 422 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 423 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 424 | workloadFactory, |
| 425 | memoryManager, |
| 426 | 0.f, |
| 427 | 0, |
| 428 | biasEnabled, |
| 429 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 430 | } |
| 431 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 432 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 433 | armnn::IWorkloadFactory& workloadFactory, |
| 434 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 435 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 436 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 437 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 438 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 439 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | } |
| 441 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 442 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 443 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 444 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 445 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 447 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 448 | float qScale, |
| 449 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 451 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 452 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 453 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 454 | QuantizedVector<T>(qScale, qOffset, { |
| 455 | 11,21,31, |
| 456 | 12,22,32, |
| 457 | 13,23,33 |
| 458 | }))); |
| 459 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 460 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 461 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 462 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 463 | QuantizedVector<T>(qScale, qOffset, { |
| 464 | -11,-21, |
| 465 | -12,-22, |
| 466 | }))); |
| 467 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 468 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | // Manually calculated like this: |
| 470 | //[-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 ..] |
| 471 | //[-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 ..] |
| 472 | //[-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 ..] |
| 473 | //[-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 ..] |
| 474 | //[-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 ..] |
| 475 | //[-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 ..] |
| 476 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 477 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 478 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 479 | QuantizedVector<T>(qScale, qOffset, { |
| 480 | 0, 0, 0, 0, 0, 0, |
| 481 | -242, -594, -934, -372, 0, 0, |
| 482 | -495, -1190, -1850, -725, 0, 0, |
| 483 | -538, -1256, -1916, -748, 0, 0, |
| 484 | -273, -626, -946, -363, 0, 0, |
| 485 | 0, 0, 0, 0, 0, 0, |
| 486 | 0, 0, 0, 0, 0, 0, |
| 487 | 0, 0, 0, 0, 0, 0 |
| 488 | }))); |
| 489 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 490 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 491 | workloadFactory, |
| 492 | memoryManager, |
| 493 | input, |
| 494 | kernel, |
| 495 | GetBias2<ArmnnBType>(false, qScale, qOffset), |
| 496 | expectedOutput, |
| 497 | qScale, |
| 498 | qOffset, |
| 499 | layout, |
| 500 | 1, // Padding left. |
| 501 | 2, // Padding top. |
| 502 | 3, // Padding right. |
| 503 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 504 | } |
| 505 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 506 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 507 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 508 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 509 | armnn::IWorkloadFactory& workloadFactory, |
| 510 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 511 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 512 | float qScale, |
| 513 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 514 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 515 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 516 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 517 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 518 | QuantizedVector<T>(qScale, qOffset, { |
| 519 | 11,21,31,41,51, |
| 520 | 12,22,32,42,52, |
| 521 | 13,23,33,43,53, |
| 522 | 14,24,34,44,54, |
| 523 | 15,25,35,45,55, |
| 524 | }))); |
| 525 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 526 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 527 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 528 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 529 | QuantizedVector<T>(qScale, qOffset, { |
| 530 | -11,-21,-31,-41, |
| 531 | -12,-22,-32,-42, |
| 532 | -13,-23,-33,-43, |
| 533 | -14,-24,-34,-44, |
| 534 | }))); |
| 535 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 536 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 537 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 538 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 539 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 540 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 541 | -7140, -10580, -13940, -9300, -5230, |
| 542 | -9590, -14120, -18520, -12290, -6860, |
| 543 | -9980, -14560, -18960, -12560, -7000, |
| 544 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 545 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 546 | }))); |
| 547 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 548 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 549 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 550 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 551 | input, |
| 552 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 553 | GetBias2<ArmnnBType>(false, qScale, qOffset), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 554 | expectedOutput, |
| 555 | qScale, |
| 556 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 557 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 558 | 1, // Padding left. |
| 559 | 1, // Padding top. |
| 560 | 2, // Padding right. |
| 561 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 562 | } |
| 563 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 564 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 565 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 566 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 567 | armnn::IWorkloadFactory& workloadFactory, |
| 568 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 569 | float qScale, |
| 570 | int32_t qOffset, |
| 571 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 572 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 573 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 574 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 575 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 576 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 577 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 578 | 0, 1, 2, 3, 4, |
| 579 | 5, 6, 7, 8, 9, |
| 580 | 10, 11, 12, 13, 14, |
| 581 | 15, 16, 17, 18, 19, |
| 582 | 20, 21, 22, 23, 24, |
| 583 | |
| 584 | 25, 26, 27, 28, 29, |
| 585 | 30, 31, 32, 33, 34, |
| 586 | 35, 36, 37, 38, 39, |
| 587 | 40, 41, 42, 43, 44, |
| 588 | 45, 46, 47, 48, 49 |
| 589 | }))); |
| 590 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 591 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 592 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 593 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 594 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 595 | 32, 31, 30, 29, |
| 596 | 28, 27, 26, 25, |
| 597 | 24, 23, 22, 21, |
| 598 | 20, 19, 18, 17, |
| 599 | |
| 600 | 16, 15, 14, 13, |
| 601 | 12, 11, 10, 9, |
| 602 | 8, 7, 6, 5, |
| 603 | 4, 3, 2, 1 |
| 604 | }))); |
| 605 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 606 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 607 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 608 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 609 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 610 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 611 | 1062, 1580, 1850, 1530, 1117, |
| 612 | 2140, 3108, 3500, 2842, 2042, |
| 613 | 3580, 5068, 5460, 4342, 3062, |
| 614 | 3618, 5072, 5390, 4248, 2971, |
| 615 | 3074, 4282, 4510, 3533, 2457, |
| 616 | 1550, 2284, 2362, 1955, 1428, |
| 617 | 2910, 4206, 4342, 3528, 2536, |
| 618 | 3390, 4886, 5022, 4068, 2916, |
| 619 | 3566, 5056, 5182, 4133, 2922, |
| 620 | 3100, 4352, 4452, 3517, 2465 |
| 621 | }))); |
| 622 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 623 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 624 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 625 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 626 | input, |
| 627 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 628 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 629 | expectedOutput, |
| 630 | qScale, |
| 631 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 632 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 633 | 1, // Padding left. |
| 634 | 1, // Padding top. |
| 635 | 2, // Padding right. |
| 636 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 637 | 1, // strideX |
| 638 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 639 | } |
| 640 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 641 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 642 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 643 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 644 | armnn::IWorkloadFactory& workloadFactory, |
| 645 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 646 | float qScale, |
| 647 | int32_t qOffset, |
| 648 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 649 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 650 | armnn::TensorInfo inputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 651 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 652 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 653 | 0, 25, |
| 654 | 1, 26, |
| 655 | 2, 27, |
| 656 | 3, 28, |
| 657 | 4, 29, |
| 658 | |
| 659 | 5, 30, |
| 660 | 6, 31, |
| 661 | 7, 32, |
| 662 | 8, 33, |
| 663 | 9, 34, |
| 664 | |
| 665 | 10, 35, |
| 666 | 11, 36, |
| 667 | 12, 37, |
| 668 | 13, 38, |
| 669 | 14, 39, |
| 670 | |
| 671 | 15, 40, |
| 672 | 16, 41, |
| 673 | 17, 42, |
| 674 | 18, 43, |
| 675 | 19, 44, |
| 676 | |
| 677 | 20, 45, |
| 678 | 21, 46, |
| 679 | 22, 47, |
| 680 | 23, 48, |
| 681 | 24, 49 |
| 682 | }))); |
| 683 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 684 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 685 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 686 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 687 | 32, 31, 30, 29, |
| 688 | 28, 27, 26, 25, |
| 689 | 24, 23, 22, 21, |
| 690 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 691 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 692 | 16, 15, 14, 13, |
| 693 | 12, 11, 10, 9, |
| 694 | 8, 7, 6, 5, |
| 695 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 696 | }))); |
| 697 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 698 | armnn::TensorInfo outputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 699 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 700 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 701 | 1062, 1550, |
| 702 | 1580, 2284, |
| 703 | 1850, 2362, |
| 704 | 1530, 1955, |
| 705 | 1117, 1428, |
| 706 | |
| 707 | 2140, 2910, |
| 708 | 3108, 4206, |
| 709 | 3500, 4342, |
| 710 | 2842, 3528, |
| 711 | 2042, 2536, |
| 712 | |
| 713 | 3580, 3390, |
| 714 | 5068, 4886, |
| 715 | 5460, 5022, |
| 716 | 4342, 4068, |
| 717 | 3062, 2916, |
| 718 | |
| 719 | 3618, 3566, |
| 720 | 5072, 5056, |
| 721 | 5390, 5182, |
| 722 | 4248, 4133, |
| 723 | 2971, 2922, |
| 724 | |
| 725 | 3074, 3100, |
| 726 | 4282, 4352, |
| 727 | 4510, 4452, |
| 728 | 3533, 3517, |
| 729 | 2457, 2465 |
| 730 | }))); |
| 731 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 732 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 733 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 734 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 735 | input, |
| 736 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 737 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 738 | expectedOutput, |
| 739 | qScale, |
| 740 | qOffset, |
| 741 | 1, // Padding left. |
| 742 | 1, // Padding top. |
| 743 | 2, // Padding right. |
| 744 | 2, // Padding bottom. |
| 745 | 1, // strideX |
| 746 | 1); // strideY |
| 747 | } |
| 748 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 749 | LayerTestResult<float, 4> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 750 | Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 751 | armnn::IWorkloadFactory& workloadFactory, |
| 752 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 753 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 754 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 755 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 756 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 757 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 758 | } |
| 759 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 760 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 761 | armnn::IWorkloadFactory& workloadFactory, |
| 762 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 763 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 764 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 765 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 766 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 767 | } |
| 768 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 769 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 770 | armnn::IWorkloadFactory& workloadFactory, |
| 771 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 772 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 773 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 774 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 775 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 776 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 777 | } |
| 778 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 779 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 780 | armnn::IWorkloadFactory& workloadFactory, |
| 781 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 782 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 783 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 784 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 785 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 786 | } |
| 787 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 788 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 789 | armnn::IWorkloadFactory& workloadFactory, |
| 790 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 791 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 792 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 793 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 794 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 795 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 796 | } |
| 797 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 798 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 799 | armnn::IWorkloadFactory& workloadFactory, |
| 800 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 801 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 802 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 803 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 804 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 805 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 806 | } |
| 807 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 808 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 809 | armnn::IWorkloadFactory& workloadFactory, |
| 810 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 811 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 812 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 813 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 814 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 815 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 816 | } |
| 817 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 818 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 819 | armnn::IWorkloadFactory& workloadFactory, |
| 820 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 821 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 822 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 823 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 824 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 825 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 826 | } |
| 827 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 828 | LayerTestResult<float, 4> Convolution1dTest( |
| 829 | armnn::IWorkloadFactory& workloadFactory, |
| 830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 831 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 832 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 833 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 834 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 835 | } |
| 836 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 837 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 838 | armnn::IWorkloadFactory& workloadFactory, |
| 839 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 840 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 841 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 842 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 843 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 844 | } |
| 845 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 846 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 847 | armnn::IWorkloadFactory& workloadFactory, |
| 848 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 849 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 850 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 851 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 852 | workloadFactory, memoryManager, refWorkloadFactory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 853 | } |
| 854 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 855 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 856 | armnn::IWorkloadFactory& workloadFactory, |
| 857 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 858 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 859 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 860 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 861 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 862 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 863 | } |
| 864 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 865 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 866 | armnn::IWorkloadFactory& workloadFactory, |
| 867 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 868 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 869 | const armnn::DataLayout layout) |
| 870 | { |
| 871 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 872 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 873 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 874 | |
| 875 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 876 | armnn::IWorkloadFactory& workloadFactory, |
| 877 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 878 | { |
| 879 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 880 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 881 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 882 | } |
| 883 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 884 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 885 | armnn::IWorkloadFactory& workloadFactory, |
| 886 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 887 | { |
| 888 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 889 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 890 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 891 | } |
| 892 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 893 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 894 | armnn::IWorkloadFactory& workloadFactory, |
| 895 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 896 | { |
| 897 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 898 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 899 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 900 | } |
| 901 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 902 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 903 | armnn::IWorkloadFactory& workloadFactory, |
| 904 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 905 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 906 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 907 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 908 | } |
| 909 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 910 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 911 | armnn::IWorkloadFactory& workloadFactory, |
| 912 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 913 | float beta) |
| 914 | { |
| 915 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 916 | } |
| 917 | |
| 918 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 919 | armnn::IWorkloadFactory& workloadFactory, |
| 920 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 921 | float beta) |
| 922 | { |
| 923 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 924 | } |
| 925 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 926 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 927 | armnn::IWorkloadFactory& workloadFactory, |
| 928 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 929 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 930 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 931 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 932 | } |
| 933 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 934 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 935 | armnn::IWorkloadFactory& workloadFactory, |
| 936 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 937 | float beta) |
| 938 | { |
| 939 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 940 | } |
| 941 | |
| 942 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 943 | armnn::IWorkloadFactory& workloadFactory, |
| 944 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 945 | float beta) |
| 946 | { |
| 947 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 948 | } |
| 949 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 950 | LayerTestResult<float,4> CompareNormalizationTest( |
| 951 | armnn::IWorkloadFactory& workloadFactory, |
| 952 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 953 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 954 | armnn::NormalizationAlgorithmChannel normChannel, |
| 955 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 956 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 957 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 958 | } |
| 959 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 960 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 961 | armnn::IWorkloadFactory& workloadFactory, |
| 962 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 963 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 964 | float beta) |
| 965 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 966 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 967 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 968 | } |
| 969 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 970 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 971 | armnn::IWorkloadFactory& workloadFactory, |
| 972 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 973 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 974 | float beta) |
| 975 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 976 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 977 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 978 | } |
| 979 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 980 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 981 | armnn::IWorkloadFactory& workloadFactory, |
| 982 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 983 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 984 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 985 | } |
| 986 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 987 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 988 | armnn::IWorkloadFactory& workloadFactory, |
| 989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 990 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 991 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 992 | } |
| 993 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 994 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 995 | armnn::IWorkloadFactory& workloadFactory, |
| 996 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 997 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 998 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 999 | } |
| 1000 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1001 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 1002 | armnn::IWorkloadFactory& workloadFactory, |
| 1003 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1004 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1005 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1006 | } |
| 1007 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1008 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1009 | armnn::IWorkloadFactory& workloadFactory, |
| 1010 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1011 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1012 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1013 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1014 | { 2., 3., 3., 4. })); |
| 1015 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1016 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1017 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1018 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1019 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1020 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl( |
| 1021 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1022 | } |
| 1023 | |
| 1024 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1025 | armnn::IWorkloadFactory& workloadFactory, |
| 1026 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1027 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1028 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1029 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1030 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1031 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 1032 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1033 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1034 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1035 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1036 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1037 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1038 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1039 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1040 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 1041 | 0.02168f})); |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 1042 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl(workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1043 | } |
| 1044 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1045 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 1046 | armnn::IWorkloadFactory& workloadFactory, |
| 1047 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1048 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1049 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1050 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1051 | {2., 3., 3., 4.})); |
| 1052 | |
| 1053 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1054 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1055 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1056 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1057 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 1058 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1059 | return LstmNoCifgNoPeepholeNoProjectionTestImpl( |
| 1060 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1061 | } |
| 1062 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1063 | LayerTestResult<float,3> MergerTest( |
| 1064 | armnn::IWorkloadFactory& workloadFactory, |
| 1065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1066 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1067 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1068 | unsigned int outputHeight = 6; |
| 1069 | unsigned int outputChannels = 3; |
| 1070 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1071 | unsigned int inputWidth1 = 3; |
| 1072 | unsigned int inputHeight1 = 6; |
| 1073 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1074 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1075 | unsigned int inputWidth2 = 3; |
| 1076 | unsigned int inputHeight2 = 6; |
| 1077 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1078 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1079 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1080 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 1081 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 1082 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1083 | |
| 1084 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 1085 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1086 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1087 | { |
| 1088 | 1.0f, 2.0f, 3.0f, |
| 1089 | 4.0f, 5.0f, 6.0f, |
| 1090 | 7.0f, 8.0f, 9.0f, |
| 1091 | 10.0f, 11.0f, 12.0f, |
| 1092 | 13.0f, 14.0f, 15.0f, |
| 1093 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1094 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1095 | 19.0f, 20.0f, 21.0f, |
| 1096 | 22.0f, 23.0f, 24.0f, |
| 1097 | 25.0f, 26.0f, 27.0f, |
| 1098 | 28.0f, 29.0f, 30.0f, |
| 1099 | 31.0f, 32.0f, 33.0f, |
| 1100 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1101 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1102 | 37.0f, 38.0f, 39.0f, |
| 1103 | 40.0f, 41.0f, 42.0f, |
| 1104 | 43.0f, 44.0f, 45.0f, |
| 1105 | 46.0f, 47.0f, 48.0f, |
| 1106 | 49.0f, 50.0f, 51.0f, |
| 1107 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1108 | }) |
| 1109 | ); |
| 1110 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1111 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 1112 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1113 | 1.0f, 2.0f, 3.0f, |
| 1114 | 4.0f, 5.0f, 6.0f, |
| 1115 | 7.0f, 8.0f, 9.0f, |
| 1116 | 10.0f, 11.0f, 12.0f, |
| 1117 | 13.0f, 14.0f, 15.0f, |
| 1118 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1119 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1120 | 19.0f, 20.0f, 21.0f, |
| 1121 | 22.0f, 23.0f, 24.0f, |
| 1122 | 25.0f, 26.0f, 27.0f, |
| 1123 | 28.0f, 29.0f, 30.0f, |
| 1124 | 31.0f, 32.0f, 33.0f, |
| 1125 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1126 | }) |
| 1127 | ); |
| 1128 | |
| 1129 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 1130 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1131 | 37.0f, 38.0f, 39.0f, |
| 1132 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1133 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1134 | 46.0f, 47.0f, 48.0f, |
| 1135 | 49.0f, 50.0f, 51.0f, |
| 1136 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1137 | }) |
| 1138 | ); |
| 1139 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1140 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1141 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 1142 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1143 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1144 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 1145 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1146 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1147 | |
| 1148 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 1149 | |
| 1150 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 1151 | subTensorsSupported ? |
| 1152 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 1153 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1154 | |
| 1155 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 1156 | subTensorsSupported ? |
| 1157 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 1158 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1159 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1160 | armnn::MergerQueueDescriptor data; |
| 1161 | armnn::WorkloadInfo info; |
| 1162 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1163 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1164 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1165 | |
| 1166 | data.m_ViewOrigins.push_back(window1); |
| 1167 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1168 | |
| 1169 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(data, info); |
| 1170 | |
| 1171 | inputHandle1->Allocate(); |
| 1172 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1173 | outputHandle->Allocate(); |
| 1174 | |
| 1175 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 1176 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1177 | |
| 1178 | workload->Execute(); |
| 1179 | |
| 1180 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 1181 | |
| 1182 | return ret; |
| 1183 | } |
| 1184 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1185 | LayerTestResult<float,4> AdditionTest( |
| 1186 | armnn::IWorkloadFactory& workloadFactory, |
| 1187 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1188 | { |
| 1189 | unsigned int batchSize = 2; |
| 1190 | unsigned int channels = 2; |
| 1191 | unsigned int height = 2; |
| 1192 | unsigned int width = 3; |
| 1193 | |
| 1194 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1195 | armnn::TensorInfo outputTensorInfo; |
| 1196 | |
| 1197 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1198 | |
| 1199 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1200 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1201 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1202 | |
| 1203 | |
| 1204 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 1205 | { |
| 1206 | 0.0f, 2.0f, 1.0f, |
| 1207 | 0.2f, 1.0f, 2.0f, |
| 1208 | |
| 1209 | 1.0f, 2.0f, 1.0f, |
| 1210 | 0.2f, 1.0f, 2.0f, |
| 1211 | |
| 1212 | 0.0f, 2.0f, 1.0f, |
| 1213 | 4.2f, 1.0f, 2.0f, |
| 1214 | |
| 1215 | 0.0f, 0.0f, 1.0f, |
| 1216 | 0.2f, 1.0f, 2.0f, |
| 1217 | })); |
| 1218 | |
| 1219 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 1220 | { |
| 1221 | 1.0f, 2.0f, 1.0f, |
| 1222 | 0.0f, 1.0f, 2.0f, |
| 1223 | |
| 1224 | 1.0f, 2.0f, -2.0f, |
| 1225 | 0.2f, 1.0f, 2.0f, |
| 1226 | |
| 1227 | 0.0f, 2.0f, 1.0f, |
| 1228 | 4.2f, 0.0f, -3.0f, |
| 1229 | |
| 1230 | 0.0f, 0.0f, 1.0f, |
| 1231 | 0.7f, 1.0f, 5.0f, |
| 1232 | })); |
| 1233 | |
| 1234 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1235 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 1236 | { |
| 1237 | 1.0f, 4.0f, 2.0f, |
| 1238 | 0.2f, 2.0f, 4.0f, |
| 1239 | |
| 1240 | 2.0f, 4.0f, -1.0f, |
| 1241 | 0.4f, 2.0f, 4.0f, |
| 1242 | |
| 1243 | 0.0f, 4.0f, 2.0f, |
| 1244 | 8.4f, 1.0f, -1.0f, |
| 1245 | |
| 1246 | 0.0f, 0.0f, 2.0f, |
| 1247 | 0.9f, 2.0f, 7.0f, |
| 1248 | })); |
| 1249 | |
| 1250 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1251 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1252 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1253 | |
| 1254 | armnn::AdditionQueueDescriptor data; |
| 1255 | armnn::WorkloadInfo info; |
| 1256 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1257 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1258 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1259 | |
| 1260 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1261 | |
| 1262 | inputHandle1->Allocate(); |
| 1263 | inputHandle2->Allocate(); |
| 1264 | outputHandle->Allocate(); |
| 1265 | |
| 1266 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1267 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1268 | |
| 1269 | workload->Execute(); |
| 1270 | |
| 1271 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1272 | |
| 1273 | return ret; |
| 1274 | } |
| 1275 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1276 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1277 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 1278 | armnn::IWorkloadFactory& workloadFactory, |
| 1279 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1280 | float qScale, |
| 1281 | int32_t qOffset) |
| 1282 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1283 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 1284 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 1285 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1286 | |
| 1287 | if (armnn::IsQuantizedType<T>()) |
| 1288 | { |
| 1289 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1290 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1291 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1292 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1293 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1294 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1295 | } |
| 1296 | |
| 1297 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1298 | { |
| 1299 | 0.0f, |
| 1300 | 1.0f, |
| 1301 | |
| 1302 | 2.0f, |
| 1303 | 3.0f, |
| 1304 | |
| 1305 | 4.0f, |
| 1306 | 5.0f, |
| 1307 | })); |
| 1308 | |
| 1309 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1310 | { |
| 1311 | 0.5f, 1.5f, 2.5f, |
| 1312 | 3.5f, 4.5f, 5.5f, |
| 1313 | })); |
| 1314 | |
| 1315 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1316 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1317 | { |
| 1318 | 0.5f, 1.5f, 2.5f, |
| 1319 | 4.5f, 5.5f, 6.5f, |
| 1320 | |
| 1321 | 2.5f, 3.5f, 4.5f, |
| 1322 | 6.5f, 7.5f, 8.5f, |
| 1323 | |
| 1324 | 4.5f, 5.5f, 6.5f, |
| 1325 | 8.5f, 9.5f, 10.5f, |
| 1326 | })); |
| 1327 | |
| 1328 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1329 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1330 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1331 | |
| 1332 | armnn::AdditionQueueDescriptor data; |
| 1333 | armnn::WorkloadInfo info; |
| 1334 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1335 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1336 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1337 | |
| 1338 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1339 | |
| 1340 | inputHandle1->Allocate(); |
| 1341 | inputHandle2->Allocate(); |
| 1342 | outputHandle->Allocate(); |
| 1343 | |
| 1344 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1345 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1346 | |
| 1347 | workload->Execute(); |
| 1348 | |
| 1349 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1350 | |
| 1351 | return ret; |
| 1352 | } |
| 1353 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1354 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1355 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 1356 | armnn::IWorkloadFactory& workloadFactory, |
| 1357 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1358 | float qScale, |
| 1359 | int32_t qOffset) |
| 1360 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1361 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 1362 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 1363 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1364 | |
| 1365 | if (armnn::IsQuantizedType<T>()) |
| 1366 | { |
| 1367 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1368 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1369 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1370 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1371 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1372 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1373 | } |
| 1374 | |
| 1375 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1376 | { |
| 1377 | 0.0f, 1.0f, 2.0f, |
| 1378 | 3.0f, 4.0f, 5.0f, |
| 1379 | 6.0f, 7.0f, 8.0f, |
| 1380 | 9.0f, 10.0f, 11.0f, |
| 1381 | 12.0f, 13.0f, 14.0f, |
| 1382 | 15.0f, 16.0f, 17.0f, |
| 1383 | })); |
| 1384 | |
| 1385 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1386 | { |
| 1387 | 0.5f, |
| 1388 | })); |
| 1389 | |
| 1390 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1391 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1392 | { |
| 1393 | 0.5f, 1.5f, 2.5f, |
| 1394 | 3.5f, 4.5f, 5.5f, |
| 1395 | 6.5f, 7.5f, 8.5f, |
| 1396 | 9.5f, 10.5f, 11.5f, |
| 1397 | 12.5f, 13.5f, 14.5f, |
| 1398 | 15.5f, 16.5f, 17.5f, |
| 1399 | })); |
| 1400 | |
| 1401 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1402 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1403 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1404 | |
| 1405 | armnn::AdditionQueueDescriptor data; |
| 1406 | armnn::WorkloadInfo info; |
| 1407 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1408 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1409 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1410 | |
| 1411 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1412 | |
| 1413 | inputHandle1->Allocate(); |
| 1414 | inputHandle2->Allocate(); |
| 1415 | outputHandle->Allocate(); |
| 1416 | |
| 1417 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1418 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1419 | |
| 1420 | workload->Execute(); |
| 1421 | |
| 1422 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1423 | |
| 1424 | return ret; |
| 1425 | } |
| 1426 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1427 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 1428 | armnn::IWorkloadFactory& workloadFactory, |
| 1429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1430 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1431 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 1432 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1433 | } |
| 1434 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1435 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 1436 | armnn::IWorkloadFactory& workloadFactory, |
| 1437 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1438 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1439 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1440 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1441 | } |
| 1442 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1443 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 1444 | armnn::IWorkloadFactory& workloadFactory, |
| 1445 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1446 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1447 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 1448 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1449 | } |
| 1450 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1451 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 1452 | armnn::IWorkloadFactory& workloadFactory, |
| 1453 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1454 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1455 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1456 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1457 | } |
| 1458 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1459 | LayerTestResult<float,4> CompareAdditionTest( |
| 1460 | armnn::IWorkloadFactory& workloadFactory, |
| 1461 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1462 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1463 | { |
| 1464 | unsigned int batchSize = 4; |
| 1465 | unsigned int channels = 1; |
| 1466 | unsigned int height = 2; |
| 1467 | unsigned int width = 3; |
| 1468 | |
| 1469 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1470 | armnn::TensorInfo outputTensorInfo; |
| 1471 | |
| 1472 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1473 | |
| 1474 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1475 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1476 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1477 | |
| 1478 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 1479 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 1480 | |
| 1481 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1482 | |
| 1483 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1484 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1485 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1486 | |
| 1487 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1488 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1489 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1490 | |
| 1491 | armnn::AdditionQueueDescriptor data; |
| 1492 | armnn::WorkloadInfo info; |
| 1493 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1494 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1495 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1496 | |
| 1497 | armnn::AdditionQueueDescriptor refData = data; |
| 1498 | armnn::WorkloadInfo refInfo = info; |
| 1499 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 1500 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 1501 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 1502 | |
| 1503 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1504 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 1505 | |
| 1506 | inputHandle1->Allocate(); |
| 1507 | inputHandle2->Allocate(); |
| 1508 | outputHandle->Allocate(); |
| 1509 | inputHandle1Ref->Allocate(); |
| 1510 | inputHandle2Ref->Allocate(); |
| 1511 | outputHandleRef->Allocate(); |
| 1512 | |
| 1513 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1514 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1515 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 1516 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 1517 | |
| 1518 | workload->Execute(); |
| 1519 | workloadRef->Execute(); |
| 1520 | |
| 1521 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1522 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 1523 | |
| 1524 | return ret; |
| 1525 | } |
| 1526 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1527 | namespace { |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1528 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1529 | LayerTestResult<T, 4> DivisionTestHelper( |
| 1530 | armnn::IWorkloadFactory& workloadFactory, |
| 1531 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1532 | const unsigned int shape0[4], |
| 1533 | const std::vector<T>& values0, |
| 1534 | float scale0, |
| 1535 | int32_t offset0, |
| 1536 | const unsigned int shape1[4], |
| 1537 | const std::vector<T> & values1, |
| 1538 | float scale1, |
| 1539 | int32_t offset1, |
| 1540 | const unsigned int outShape[4], |
| 1541 | const std::vector<T> & outValues, |
| 1542 | float outScale, |
| 1543 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1544 | { |
| 1545 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 1546 | armnn::DataType::QuantisedAsymm8 : |
| 1547 | armnn::DataType::Float32); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1548 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1549 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 1550 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 1551 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1552 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1553 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 1554 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1555 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1556 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 1557 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1558 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1559 | outputTensorInfo.SetQuantizationScale(outScale); |
| 1560 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1561 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1562 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 1563 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1564 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1565 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1566 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1567 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1568 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 1569 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1570 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1571 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1572 | armnn::DivisionQueueDescriptor data; |
| 1573 | armnn::WorkloadInfo info; |
| 1574 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 1575 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1576 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1577 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1578 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1579 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1580 | inputHandle0->Allocate(); |
| 1581 | inputHandle1->Allocate(); |
| 1582 | outputHandle->Allocate(); |
| 1583 | |
| 1584 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 1585 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1586 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1587 | workload->Execute(); |
| 1588 | |
| 1589 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 1590 | |
| 1591 | return result; |
| 1592 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1593 | } // anonymous namespace |
| 1594 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1595 | LayerTestResult<float,4> DivisionByZeroTest( |
| 1596 | armnn::IWorkloadFactory& workloadFactory, |
| 1597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1598 | { |
| 1599 | const unsigned int width = 2; |
| 1600 | const unsigned int height = 2; |
| 1601 | const unsigned int channelCount = 2; |
| 1602 | const unsigned int batchSize = 2; |
| 1603 | |
| 1604 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1605 | |
| 1606 | std::vector<float> input0({ |
| 1607 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 1608 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 1609 | |
| 1610 | std::vector<float> input1({ |
| 1611 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 1612 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 1613 | |
| 1614 | std::vector<float> output({ |
| 1615 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 1616 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 1617 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1618 | return DivisionTestHelper<float>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1619 | memoryManager, |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1620 | shape, input0, 1.0f, 0, |
| 1621 | shape, input1, 1.0f, 0, |
| 1622 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1623 | } |
| 1624 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1625 | LayerTestResult<float,4> DivisionTest( |
| 1626 | armnn::IWorkloadFactory& workloadFactory, |
| 1627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1628 | { |
| 1629 | const unsigned int width = 2; |
| 1630 | const unsigned int height = 2; |
| 1631 | const unsigned int channelCount = 2; |
| 1632 | const unsigned int batchSize = 2; |
| 1633 | |
| 1634 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1635 | |
| 1636 | std::vector<float> input0({ |
| 1637 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 1638 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1639 | |
| 1640 | std::vector<float> input1({ |
| 1641 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 1642 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1643 | |
| 1644 | std::vector<float> output({ |
| 1645 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 1646 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 1647 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1648 | |
| 1649 | return DivisionTestHelper<float>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1650 | memoryManager, |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1651 | shape, input0, 1.0f, 0, |
| 1652 | shape, input1, 1.0f, 0, |
| 1653 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1654 | } |
| 1655 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1656 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 1657 | armnn::IWorkloadFactory& workloadFactory, |
| 1658 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1659 | { |
| 1660 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1661 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1662 | |
| 1663 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1664 | std::vector<float> input1({ 2 }); |
| 1665 | |
| 1666 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1667 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1668 | |
| 1669 | return DivisionTestHelper<float>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1670 | memoryManager, |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1671 | shape0, input0, 1.0f, 0, |
| 1672 | shape1, input1, 1.0f, 0, |
| 1673 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1674 | } |
| 1675 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1676 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 1677 | armnn::IWorkloadFactory& workloadFactory, |
| 1678 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1679 | { |
| 1680 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1681 | std::vector<float> input0({ |
| 1682 | 1, 4, 3, 8, 5, 12, |
| 1683 | 7, 16, 9, 20, 11, 24, |
| 1684 | 13, 28, 15, 32, 17, 36}); |
| 1685 | |
| 1686 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1687 | std::vector<float> input1({ 1, 2 }); |
| 1688 | |
| 1689 | std::vector<float> output({ |
| 1690 | 1, 2, 3, 4, 5, 6, |
| 1691 | 7, 8, 9, 10, 11, 12, |
| 1692 | 13, 14, 15, 16, 17, 18}); |
| 1693 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1694 | return DivisionTestHelper<float>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1695 | memoryManager, |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1696 | shape0, input0, 1.0f, 0, |
| 1697 | shape1, input1, 1.0f, 0, |
| 1698 | shape0, output, 1.0f, 0); |
| 1699 | } |
| 1700 | |
| 1701 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1702 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 1703 | armnn::IWorkloadFactory& workloadFactory, |
| 1704 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1705 | { |
| 1706 | const unsigned int width = 2; |
| 1707 | const unsigned int height = 2; |
| 1708 | const unsigned int channelCount = 2; |
| 1709 | const unsigned int batchSize = 2; |
| 1710 | |
| 1711 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1712 | |
| 1713 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 1714 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1715 | |
| 1716 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 1717 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1718 | |
| 1719 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 1720 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 1721 | |
| 1722 | |
| 1723 | return DivisionTestHelper<uint8_t>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1724 | memoryManager, |
| 1725 | shape, input0, 1.0f, 0, |
| 1726 | shape, input1, 1.0f, 0, |
| 1727 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1728 | } |
| 1729 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1730 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 1731 | armnn::IWorkloadFactory& workloadFactory, |
| 1732 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1733 | { |
| 1734 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1735 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1736 | |
| 1737 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1738 | std::vector<uint8_t> input1({ 2 }); |
| 1739 | |
| 1740 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1741 | |
| 1742 | return DivisionTestHelper<uint8_t>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1743 | memoryManager, |
| 1744 | shape0, input0, 1.0f, 0, |
| 1745 | shape1, input1, 1.0f, 0, |
| 1746 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1747 | } |
| 1748 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1749 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 1750 | armnn::IWorkloadFactory& workloadFactory, |
| 1751 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1752 | { |
| 1753 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1754 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 1755 | 7, 16, 9, 20, 11, 24, |
| 1756 | 13, 28, 15, 32, 17, 36}); |
| 1757 | |
| 1758 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1759 | std::vector<uint8_t> input1({ 1, 2 }); |
| 1760 | |
| 1761 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 1762 | 7, 8, 9, 10, 11, 12, |
| 1763 | 13, 14, 15, 16, 17, 18}); |
| 1764 | |
| 1765 | return DivisionTestHelper<uint8_t>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1766 | memoryManager, |
| 1767 | shape0, input0, 1.0f, 0, |
| 1768 | shape1, input1, 1.0f, 0, |
| 1769 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1770 | } |
| 1771 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1772 | template<typename DescriptorType> |
| 1773 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 1774 | const armnn::IWorkloadFactory& workloadFactory, |
| 1775 | const armnn::WorkloadInfo& info, |
| 1776 | const DescriptorType& descriptor) |
| 1777 | { |
| 1778 | return CreateWorkload(workloadFactory, info, descriptor); |
| 1779 | }; |
| 1780 | |
| 1781 | template<> |
| 1782 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 1783 | const armnn::IWorkloadFactory& workloadFactory, |
| 1784 | const armnn::WorkloadInfo& info, |
| 1785 | const armnn::MaximumQueueDescriptor& descriptor) |
| 1786 | { |
| 1787 | return workloadFactory.CreateMaximum(descriptor, info); |
| 1788 | } |
| 1789 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 1790 | template<> |
| 1791 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 1792 | const armnn::IWorkloadFactory& workloadFactory, |
| 1793 | const armnn::WorkloadInfo& info, |
| 1794 | const armnn::MinimumQueueDescriptor& descriptor) |
| 1795 | { |
| 1796 | return workloadFactory.CreateMinimum(descriptor, info); |
| 1797 | } |
| 1798 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1799 | template<> |
| 1800 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 1801 | const armnn::IWorkloadFactory& workloadFactory, |
| 1802 | const armnn::WorkloadInfo& info, |
| 1803 | const armnn::EqualQueueDescriptor& descriptor) |
| 1804 | { |
| 1805 | return workloadFactory.CreateEqual(descriptor, info); |
| 1806 | } |
| 1807 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 1808 | template<> |
| 1809 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 1810 | const armnn::IWorkloadFactory& workloadFactory, |
| 1811 | const armnn::WorkloadInfo& info, |
| 1812 | const armnn::GreaterQueueDescriptor& descriptor) |
| 1813 | { |
| 1814 | return workloadFactory.CreateGreater(descriptor, info); |
| 1815 | } |
| 1816 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1817 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1818 | |
| 1819 | template <typename Descriptor, |
| 1820 | armnn::DataType ArmnnTypeInput, |
| 1821 | armnn::DataType ArmnnTypeOutput, |
| 1822 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 1823 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 1824 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 1825 | armnn::IWorkloadFactory & workloadFactory, |
| 1826 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 1827 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 1828 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 1829 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 1830 | float qScale = 0.0f, int qOffset = 0) |
| 1831 | { |
| 1832 | const size_t dimensionCount = 4; |
| 1833 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 1834 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 1835 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 1836 | |
| 1837 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 1838 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 1839 | |
| 1840 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1841 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1842 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 1843 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1844 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1845 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1846 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1847 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1848 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1849 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1850 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1851 | |
| 1852 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 1853 | |
| 1854 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 1855 | { |
| 1856 | ret.compareBoolean = true; |
| 1857 | } |
| 1858 | |
| 1859 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 1860 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1861 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1862 | |
| 1863 | Descriptor data; |
| 1864 | armnn::WorkloadInfo info; |
| 1865 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 1866 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1867 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1868 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 1869 | |
| 1870 | inputHandle0->Allocate(); |
| 1871 | inputHandle1->Allocate(); |
| 1872 | outputHandle->Allocate(); |
| 1873 | |
| 1874 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 1875 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1876 | |
| 1877 | ExecuteWorkload(*workload, memoryManager); |
| 1878 | |
| 1879 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1880 | |
| 1881 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 1882 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1883 | } |
| 1884 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1885 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 1886 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 1887 | armnn::IWorkloadFactory & workloadFactory, |
| 1888 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 1889 | const unsigned int shape0[4], std::vector<T> values0, |
| 1890 | const unsigned int shape1[4], std::vector<T> values1, |
| 1891 | const unsigned int outShape[4], std::vector<T> outValues, |
| 1892 | float qScale = 0.0f, int qOffset = 0) |
| 1893 | { |
| 1894 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 1895 | (workloadFactory, |
| 1896 | memoryManager, |
| 1897 | shape0, |
| 1898 | values0, |
| 1899 | shape1, |
| 1900 | values1, |
| 1901 | outShape, |
| 1902 | outValues, |
| 1903 | qScale, |
| 1904 | qOffset); |
| 1905 | } |
| 1906 | } |
| 1907 | |
| 1908 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 1909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1910 | { |
| 1911 | const unsigned int width = 2; |
| 1912 | const unsigned int height = 2; |
| 1913 | const unsigned int channelCount = 2; |
| 1914 | const unsigned int batchSize = 2; |
| 1915 | |
| 1916 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1917 | |
| 1918 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 1919 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 1920 | |
| 1921 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 1922 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 1923 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1924 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 1925 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1926 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1927 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1928 | workloadFactory, |
| 1929 | memoryManager, |
| 1930 | shape, |
| 1931 | input0, |
| 1932 | shape, |
| 1933 | input1, |
| 1934 | shape, |
| 1935 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1936 | } |
| 1937 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1938 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1939 | armnn::IWorkloadFactory& workloadFactory, |
| 1940 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1941 | { |
| 1942 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1943 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1944 | |
| 1945 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1946 | std::vector<float> input1({ 1 }); |
| 1947 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1948 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1949 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1950 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1951 | workloadFactory, |
| 1952 | memoryManager, |
| 1953 | shape0, |
| 1954 | input0, |
| 1955 | shape1, |
| 1956 | input1, |
| 1957 | shape0, |
| 1958 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1959 | } |
| 1960 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1961 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1962 | armnn::IWorkloadFactory& workloadFactory, |
| 1963 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1964 | { |
| 1965 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 1966 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 1967 | |
| 1968 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 1969 | 7, 8, 9, 10, 11, 12 }); |
| 1970 | |
| 1971 | std::vector<float> input1({ 1, 2, 3}); |
| 1972 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1973 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 1974 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1975 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1976 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1977 | workloadFactory, |
| 1978 | memoryManager, |
| 1979 | shape0, |
| 1980 | input0, |
| 1981 | shape1, |
| 1982 | input1, |
| 1983 | shape0, |
| 1984 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1985 | } |
| 1986 | |
| 1987 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 1988 | armnn::IWorkloadFactory& workloadFactory, |
| 1989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1990 | { |
| 1991 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 1992 | |
| 1993 | // See dequantized values to the right. |
| 1994 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1995 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1996 | |
| 1997 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 1998 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 1999 | |
| 2000 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2001 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2002 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2003 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2004 | armnn::DataType::QuantisedAsymm8, |
| 2005 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2006 | workloadFactory, |
| 2007 | memoryManager, |
| 2008 | shape, |
| 2009 | input0, |
| 2010 | shape, |
| 2011 | input1, |
| 2012 | shape, |
| 2013 | output, |
| 2014 | 1.0f, |
| 2015 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2016 | } |
| 2017 | |
| 2018 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 2019 | armnn::IWorkloadFactory& workloadFactory, |
| 2020 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2021 | { |
| 2022 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2023 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2024 | |
| 2025 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2026 | 7, 8, 9, 10, 11, 12 }); |
| 2027 | |
| 2028 | std::vector<uint8_t> input1({ 1 }); |
| 2029 | |
| 2030 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 2031 | 0, 0, 0, 0, 0, 0 }); |
| 2032 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2033 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2034 | armnn::DataType::QuantisedAsymm8, |
| 2035 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2036 | workloadFactory, |
| 2037 | memoryManager, |
| 2038 | shape0, |
| 2039 | input0, |
| 2040 | shape1, |
| 2041 | input1, |
| 2042 | shape0, |
| 2043 | output, |
| 2044 | 1.0f, |
| 2045 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2046 | } |
| 2047 | |
| 2048 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 2049 | armnn::IWorkloadFactory& workloadFactory, |
| 2050 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2051 | { |
| 2052 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2053 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2054 | |
| 2055 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2056 | 7, 8, 9, 10, 11, 12 }); |
| 2057 | |
| 2058 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2059 | |
| 2060 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 2061 | 0, 0, 0, 0, 0, 0 }); |
| 2062 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2063 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2064 | armnn::DataType::QuantisedAsymm8, |
| 2065 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2066 | workloadFactory, |
| 2067 | memoryManager, |
| 2068 | shape0, |
| 2069 | input0, |
| 2070 | shape1, |
| 2071 | input1, |
| 2072 | shape0, |
| 2073 | output, |
| 2074 | 1.0f, |
| 2075 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2076 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2077 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2078 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2080 | { |
| 2081 | const unsigned int width = 2; |
| 2082 | const unsigned int height = 2; |
| 2083 | const unsigned int channelCount = 2; |
| 2084 | const unsigned int batchSize = 2; |
| 2085 | |
| 2086 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2087 | |
| 2088 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2089 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2090 | |
| 2091 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2092 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2093 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2094 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2095 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2096 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2097 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2098 | workloadFactory, |
| 2099 | memoryManager, |
| 2100 | shape, |
| 2101 | input0, |
| 2102 | shape, |
| 2103 | input1, |
| 2104 | shape, |
| 2105 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2106 | } |
| 2107 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2108 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2109 | armnn::IWorkloadFactory& workloadFactory, |
| 2110 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2111 | { |
| 2112 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2113 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2114 | |
| 2115 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2116 | std::vector<float> input1({ 1 }); |
| 2117 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2118 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2119 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2120 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2121 | workloadFactory, |
| 2122 | memoryManager, |
| 2123 | shape0, |
| 2124 | input0, |
| 2125 | shape1, |
| 2126 | input1, |
| 2127 | shape0, |
| 2128 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2129 | } |
| 2130 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2131 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2132 | armnn::IWorkloadFactory& workloadFactory, |
| 2133 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2134 | { |
| 2135 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2136 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2137 | |
| 2138 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 2139 | 7, 8, 9, 10, 11, 12 }); |
| 2140 | |
| 2141 | std::vector<float> input1({ 1, 3, 2}); |
| 2142 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2143 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 2144 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2145 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2146 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2147 | workloadFactory, |
| 2148 | memoryManager, |
| 2149 | shape0, |
| 2150 | input0, |
| 2151 | shape1, |
| 2152 | input1, |
| 2153 | shape0, |
| 2154 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2155 | } |
| 2156 | |
| 2157 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 2158 | armnn::IWorkloadFactory& workloadFactory, |
| 2159 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2160 | { |
| 2161 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2162 | |
| 2163 | // See dequantized values to the right. |
| 2164 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2165 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2166 | |
| 2167 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2168 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 2169 | |
| 2170 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 2171 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2172 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2173 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2174 | armnn::DataType::QuantisedAsymm8, |
| 2175 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2176 | workloadFactory, |
| 2177 | memoryManager, |
| 2178 | shape, |
| 2179 | input0, |
| 2180 | shape, |
| 2181 | input1, |
| 2182 | shape, |
| 2183 | output, |
| 2184 | 1.0f, |
| 2185 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2186 | } |
| 2187 | |
| 2188 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 2189 | armnn::IWorkloadFactory& workloadFactory, |
| 2190 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2191 | { |
| 2192 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2193 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2194 | |
| 2195 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2196 | 7, 8, 9, 10, 11, 12 }); |
| 2197 | |
| 2198 | std::vector<uint8_t> input1({ 1 }); |
| 2199 | |
| 2200 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 2201 | 1, 1, 1, 1, 1, 1 }); |
| 2202 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2203 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2204 | armnn::DataType::QuantisedAsymm8, |
| 2205 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2206 | workloadFactory, |
| 2207 | memoryManager, |
| 2208 | shape0, |
| 2209 | input0, |
| 2210 | shape1, |
| 2211 | input1, |
| 2212 | shape0, |
| 2213 | output, |
| 2214 | 1.0f, |
| 2215 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2216 | } |
| 2217 | |
| 2218 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 2219 | armnn::IWorkloadFactory& workloadFactory, |
| 2220 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2221 | { |
| 2222 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2223 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2224 | |
| 2225 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2226 | 7, 8, 9, 10, 11, 12 }); |
| 2227 | |
| 2228 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2229 | |
| 2230 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 2231 | 1, 1, 1, 1, 1, 1 }); |
| 2232 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2233 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2234 | armnn::DataType::QuantisedAsymm8, |
| 2235 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2236 | workloadFactory, |
| 2237 | memoryManager, |
| 2238 | shape0, |
| 2239 | input0, |
| 2240 | shape1, |
| 2241 | input1, |
| 2242 | shape0, |
| 2243 | output, |
| 2244 | 1.0f, |
| 2245 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2246 | } |
| 2247 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2248 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2250 | { |
| 2251 | const unsigned int width = 2; |
| 2252 | const unsigned int height = 2; |
| 2253 | const unsigned int channelCount = 2; |
| 2254 | const unsigned int batchSize = 2; |
| 2255 | |
| 2256 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2257 | |
| 2258 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2259 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2260 | |
| 2261 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2262 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2263 | |
| 2264 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 2265 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2266 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2267 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2268 | workloadFactory, |
| 2269 | memoryManager, |
| 2270 | shape, |
| 2271 | input0, |
| 2272 | shape, |
| 2273 | input1, |
| 2274 | shape, |
| 2275 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2276 | } |
| 2277 | |
| 2278 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 2279 | armnn::IWorkloadFactory& workloadFactory, |
| 2280 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2281 | { |
| 2282 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2283 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2284 | |
| 2285 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2286 | std::vector<float> input1({ 2 }); |
| 2287 | |
| 2288 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 2289 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2290 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2291 | workloadFactory, |
| 2292 | memoryManager, |
| 2293 | shape0, |
| 2294 | input0, |
| 2295 | shape1, |
| 2296 | input1, |
| 2297 | shape0, |
| 2298 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2299 | } |
| 2300 | |
| 2301 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 2302 | armnn::IWorkloadFactory& workloadFactory, |
| 2303 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2304 | { |
| 2305 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2306 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2307 | |
| 2308 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2309 | 7, 8, 9, 10, 11, 12 }); |
| 2310 | |
| 2311 | std::vector<float> input1({ 1, 2, 3}); |
| 2312 | |
| 2313 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2314 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2315 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2316 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2317 | workloadFactory, |
| 2318 | memoryManager, |
| 2319 | shape0, |
| 2320 | input0, |
| 2321 | shape1, |
| 2322 | input1, |
| 2323 | shape0, |
| 2324 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2325 | } |
| 2326 | |
| 2327 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 2328 | armnn::IWorkloadFactory& workloadFactory, |
| 2329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2330 | { |
| 2331 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2332 | |
| 2333 | // See dequantized values to the right. |
| 2334 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2335 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2336 | |
| 2337 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2338 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2339 | |
| 2340 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2341 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2342 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2343 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2344 | workloadFactory, |
| 2345 | memoryManager, |
| 2346 | shape, |
| 2347 | input0, |
| 2348 | shape, |
| 2349 | input1, |
| 2350 | shape, |
| 2351 | output, |
| 2352 | 1.0f, |
| 2353 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2354 | } |
| 2355 | |
| 2356 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 2357 | armnn::IWorkloadFactory& workloadFactory, |
| 2358 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2359 | { |
| 2360 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2361 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2362 | |
| 2363 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2364 | 7, 8, 9, 10, 11, 12 }); |
| 2365 | |
| 2366 | std::vector<uint8_t> input1({2}); |
| 2367 | |
| 2368 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 2369 | 7, 8, 9, 10, 11, 12 }); |
| 2370 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2371 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2372 | workloadFactory, |
| 2373 | memoryManager, |
| 2374 | shape0, |
| 2375 | input0, |
| 2376 | shape1, |
| 2377 | input1, |
| 2378 | shape0, |
| 2379 | output, |
| 2380 | 1.0f, |
| 2381 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2382 | } |
| 2383 | |
| 2384 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 2385 | armnn::IWorkloadFactory& workloadFactory, |
| 2386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2387 | { |
| 2388 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2389 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2390 | |
| 2391 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2392 | 7, 8, 9, 10, 11, 12 }); |
| 2393 | |
| 2394 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 2395 | |
| 2396 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 2397 | 7, 10, 9, 10, 11, 12 }); |
| 2398 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2399 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2400 | workloadFactory, |
| 2401 | memoryManager, |
| 2402 | shape0, |
| 2403 | input0, |
| 2404 | shape1, |
| 2405 | input1, |
| 2406 | shape0, |
| 2407 | output, |
| 2408 | 1.0f, |
| 2409 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2410 | } |
| 2411 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2412 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 2413 | armnn::IWorkloadFactory& workloadFactory, |
| 2414 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2415 | { |
| 2416 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2417 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2418 | |
| 2419 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2420 | std::vector<float> input1({ 2 }); |
| 2421 | |
| 2422 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 2423 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2424 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2425 | workloadFactory, |
| 2426 | memoryManager, |
| 2427 | shape0, |
| 2428 | input0, |
| 2429 | shape1, |
| 2430 | input1, |
| 2431 | shape0, |
| 2432 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2433 | } |
| 2434 | |
| 2435 | |
| 2436 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 2437 | armnn::IWorkloadFactory& workloadFactory, |
| 2438 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2439 | { |
| 2440 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2441 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 2442 | |
| 2443 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2444 | std::vector<float> input1({ 5 }); |
| 2445 | |
| 2446 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 2447 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2448 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2449 | workloadFactory, |
| 2450 | memoryManager, |
| 2451 | shape0, |
| 2452 | input0, |
| 2453 | shape1, |
| 2454 | input1, |
| 2455 | shape0, |
| 2456 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2457 | } |
| 2458 | |
| 2459 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 2460 | armnn::IWorkloadFactory & workloadFactory, |
| 2461 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 2462 | { |
| 2463 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2464 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2465 | |
| 2466 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 2467 | 7, 1, 2, 3, 4, 5 }); |
| 2468 | |
| 2469 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 2470 | |
| 2471 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 2472 | 1, 1, 2, 1, 2, 3 }); |
| 2473 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2474 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2475 | workloadFactory, |
| 2476 | memoryManager, |
| 2477 | shape0, |
| 2478 | input0, |
| 2479 | shape1, |
| 2480 | input1, |
| 2481 | shape0, |
| 2482 | output, |
| 2483 | 1.0f, |
| 2484 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2485 | } |
| 2486 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2487 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2488 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 2489 | armnn::IWorkloadFactory& workloadFactory, |
| 2490 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2491 | const unsigned int shape0[4], |
| 2492 | const std::vector<float> & values0, |
| 2493 | const unsigned int shape1[4], |
| 2494 | const std::vector<float> & values1, |
| 2495 | const unsigned int outShape[4], |
| 2496 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2497 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2498 | const size_t dimensionCount = 4; |
| 2499 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 2500 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 2501 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2502 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2503 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 2504 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2505 | |
| 2506 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2507 | |
| 2508 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2509 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2510 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2511 | |
| 2512 | armnn::MultiplicationQueueDescriptor data; |
| 2513 | armnn::WorkloadInfo info; |
| 2514 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2515 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2516 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2517 | |
| 2518 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 2519 | |
| 2520 | inputHandle0->Allocate(); |
| 2521 | inputHandle1->Allocate(); |
| 2522 | outputHandle->Allocate(); |
| 2523 | |
| 2524 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2525 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2526 | |
| 2527 | workload->Execute(); |
| 2528 | |
| 2529 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2530 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2531 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2532 | return ret; |
| 2533 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2534 | } // anonymous namespace |
| 2535 | |
| 2536 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2537 | LayerTestResult<float,4> MultiplicationTest( |
| 2538 | armnn::IWorkloadFactory& workloadFactory, |
| 2539 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2540 | { |
| 2541 | const unsigned int width = 2; |
| 2542 | const unsigned int height = 2; |
| 2543 | const unsigned int channelCount = 2; |
| 2544 | const unsigned int batchSize = 2; |
| 2545 | |
| 2546 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2547 | |
| 2548 | std::vector<float> input0({ |
| 2549 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 2550 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2551 | |
| 2552 | std::vector<float> input1({ |
| 2553 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 2554 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2555 | |
| 2556 | std::vector<float> output({ |
| 2557 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 2558 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 2559 | |
| 2560 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2561 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2562 | shape, |
| 2563 | input0, |
| 2564 | shape, |
| 2565 | input1, |
| 2566 | shape, |
| 2567 | output); |
| 2568 | } |
| 2569 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2570 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 2571 | armnn::IWorkloadFactory& workloadFactory, |
| 2572 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2573 | { |
| 2574 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2575 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2576 | |
| 2577 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2578 | std::vector<float> input1({ 2 }); |
| 2579 | |
| 2580 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2581 | |
| 2582 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2583 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2584 | shape0, |
| 2585 | input0, |
| 2586 | shape1, |
| 2587 | input1, |
| 2588 | shape0, |
| 2589 | output); |
| 2590 | } |
| 2591 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2592 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 2593 | armnn::IWorkloadFactory& workloadFactory, |
| 2594 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2595 | { |
| 2596 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2597 | std::vector<float> input0({ |
| 2598 | 1, 2, 3, 4, 5, 6, |
| 2599 | 7, 8, 9, 10, 11, 12, |
| 2600 | 13, 14, 15, 16, 17, 18}); |
| 2601 | |
| 2602 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2603 | std::vector<float> input1({ 1, 2 }); |
| 2604 | |
| 2605 | std::vector<float> output({ |
| 2606 | 1, 4, 3, 8, 5, 12, |
| 2607 | 7, 16, 9, 20, 11, 24, |
| 2608 | 13, 28, 15, 32, 17, 36}); |
| 2609 | |
| 2610 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2611 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2612 | shape0, |
| 2613 | input0, |
| 2614 | shape1, |
| 2615 | input1, |
| 2616 | shape0, |
| 2617 | output); |
| 2618 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2619 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2620 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 2621 | armnn::IWorkloadFactory& workloadFactory, |
| 2622 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2623 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2624 | { |
| 2625 | const unsigned int width = 16; |
| 2626 | const unsigned int height = 32; |
| 2627 | const unsigned int channelCount = 2; |
| 2628 | const unsigned int batchSize = 5; |
| 2629 | |
| 2630 | armnn::TensorInfo inputTensorInfo0; |
| 2631 | armnn::TensorInfo inputTensorInfo1; |
| 2632 | armnn::TensorInfo outputTensorInfo; |
| 2633 | |
| 2634 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2635 | |
| 2636 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2637 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2638 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2639 | |
| 2640 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 2641 | |
| 2642 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 2643 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 2644 | |
| 2645 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2646 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2647 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2648 | |
| 2649 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2650 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2651 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2652 | |
| 2653 | armnn::MultiplicationQueueDescriptor data; |
| 2654 | armnn::WorkloadInfo info; |
| 2655 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2656 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2657 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2658 | |
| 2659 | armnn::MultiplicationQueueDescriptor refData = data; |
| 2660 | armnn::WorkloadInfo refInfo = info; |
| 2661 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 2662 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 2663 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2664 | |
| 2665 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 2666 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 2667 | |
| 2668 | inputHandle0->Allocate(); |
| 2669 | inputHandle1->Allocate(); |
| 2670 | outputHandle->Allocate(); |
| 2671 | inputHandle0Ref->Allocate(); |
| 2672 | inputHandle1Ref->Allocate(); |
| 2673 | outputHandleRef->Allocate(); |
| 2674 | |
| 2675 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2676 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2677 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 2678 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 2679 | |
| 2680 | workload->Execute(); |
| 2681 | workloadRef->Execute(); |
| 2682 | |
| 2683 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 2684 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2685 | |
| 2686 | return comparisonResult; |
| 2687 | } |
| 2688 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2689 | LayerTestResult<float,4> CompareBatchNormTest( |
| 2690 | armnn::IWorkloadFactory& workloadFactory, |
| 2691 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2692 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2693 | { |
| 2694 | const unsigned int width = 2; |
| 2695 | const unsigned int height = 3; |
| 2696 | const unsigned int channels = 5; |
| 2697 | const unsigned int batchSize = 3; |
| 2698 | |
| 2699 | armnn::TensorInfo inputTensorInfo; |
| 2700 | armnn::TensorInfo outputTensorInfo; |
| 2701 | armnn::TensorInfo tensorInfo; |
| 2702 | |
| 2703 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 2704 | constexpr unsigned int tensorShape[] = {channels}; |
| 2705 | |
| 2706 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2707 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2708 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 2709 | |
| 2710 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 2711 | |
| 2712 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 2713 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 2714 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 2715 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 2716 | |
| 2717 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2718 | |
| 2719 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 2720 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2721 | |
| 2722 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 2723 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2724 | |
| 2725 | armnn::BatchNormalizationQueueDescriptor data; |
| 2726 | armnn::WorkloadInfo info; |
| 2727 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 2728 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 2729 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 2730 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 2731 | |
| 2732 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 2733 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 2734 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 2735 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 2736 | |
| 2737 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 2738 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2739 | data.m_Mean = &meanTensor; |
| 2740 | data.m_Variance = &varianceTensor; |
| 2741 | data.m_Beta = &betaTensor; |
| 2742 | data.m_Gamma = &gammaTensor; |
| 2743 | data.m_Parameters.m_Eps = 0.01f; |
| 2744 | |
| 2745 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 2746 | armnn::WorkloadInfo refInfo = info; |
| 2747 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 2748 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2749 | |
| 2750 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 2751 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 2752 | |
| 2753 | inputHandle->Allocate(); |
| 2754 | outputHandle->Allocate(); |
| 2755 | inputHandleRef->Allocate(); |
| 2756 | outputHandleRef->Allocate(); |
| 2757 | |
| 2758 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 2759 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 2760 | |
| 2761 | workload->Execute(); |
| 2762 | workloadRef->Execute(); |
| 2763 | |
| 2764 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2765 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2766 | |
| 2767 | return ret; |
| 2768 | } |
| 2769 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2770 | template<typename T> |
| 2771 | void PermuteTensorData( |
| 2772 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2773 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2774 | const armnn::PermutationVector& mappings, |
| 2775 | armnn::TensorInfo & inputTensorInfo, |
| 2776 | const T * inputData, |
| 2777 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2778 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2779 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 2780 | if (inputData == nullptr) |
| 2781 | { |
| 2782 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 2783 | // I expect the caller to fail the test. It still makes sense to report this as |
| 2784 | // an assert for Debug builds. |
| 2785 | return; |
| 2786 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2787 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2788 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 2789 | |
| 2790 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 2791 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2792 | |
| 2793 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 2794 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 2795 | armnn::WorkloadInfo workloadInfo; |
| 2796 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 2797 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 2798 | |
| 2799 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 2800 | |
| 2801 | inputHandle->Allocate(); |
| 2802 | outputHandle->Allocate(); |
| 2803 | |
| 2804 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 2805 | |
| 2806 | workload->Execute(); |
| 2807 | |
| 2808 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 2809 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 2810 | inputTensorInfo = outputTensorInfo; |
| 2811 | } |
| 2812 | |
| 2813 | armnn::OriginsDescriptor CreateMergerDescriptorForConcatenation( |
| 2814 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 2815 | unsigned int concatDim) |
| 2816 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2817 | std::vector<armnn::TensorShape> shapes; |
| 2818 | shapes.reserve(inputTensorInfos.size()); |
| 2819 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 2820 | { |
| 2821 | shapes.push_back(it.GetShape()); |
| 2822 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2823 | |
| 2824 | return armnn::CreateMergerDescriptorForConcatenation(shapes.begin(), |
| 2825 | shapes.end(), |
| 2826 | concatDim); |
| 2827 | } |
| 2828 | |
| 2829 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 2830 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 2831 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 2832 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2833 | // |
| 2834 | |
| 2835 | bool NeedPermuteForConcat( |
| 2836 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 2837 | unsigned int concatDim) |
| 2838 | { |
| 2839 | // See note above. Additionally we expect the input shapes to have the |
| 2840 | // same number of dimensions. |
| 2841 | unsigned int nDimensions = 0; |
| 2842 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2843 | // Determine the number of dimensions as well as sanity check them |
| 2844 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2845 | for (auto && tensorInfo : inputTensorInfos) |
| 2846 | { |
| 2847 | if (!nDimensions) |
| 2848 | { |
| 2849 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 2850 | } |
| 2851 | else |
| 2852 | { |
| 2853 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 2854 | "Input shapes must have the same number of dimensions"); |
| 2855 | } |
| 2856 | } |
| 2857 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 2858 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2859 | } |
| 2860 | |
| 2861 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 2862 | { |
| 2863 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 2864 | if (numDims >= 3) |
| 2865 | { |
| 2866 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 2867 | return inputShape; |
| 2868 | } |
| 2869 | |
| 2870 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 2871 | unsigned int expandedBy = 3 - numDims; |
| 2872 | for (unsigned int i=0; i<numDims; ++i) |
| 2873 | { |
| 2874 | newDims[expandedBy+i] = inputShape[i]; |
| 2875 | } |
| 2876 | return armnn::TensorShape(3u, &newDims[0]); |
| 2877 | } |
| 2878 | |
| 2879 | void Generate3dPermuteVectorForConcat( |
| 2880 | unsigned int numDimensions, |
| 2881 | unsigned int & concatDim, |
| 2882 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 2883 | { |
| 2884 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 2885 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2886 | unsigned int expandedBy = 3 - numDimensions; |
| 2887 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 2888 | |
| 2889 | if (expandedConcatAxis == 2) |
| 2890 | { |
| 2891 | concatDim = 0; |
| 2892 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 2893 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 2894 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 2895 | } |
| 2896 | else if (expandedConcatAxis == 1) |
| 2897 | { |
| 2898 | concatDim = 0; |
| 2899 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 2900 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 2901 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 2902 | } |
| 2903 | else |
| 2904 | { |
| 2905 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 2906 | concatDim = 0; |
| 2907 | } |
| 2908 | } |
| 2909 | |
| 2910 | // |
| 2911 | // Permute the input tensors so we can do a supported concatenation. |
| 2912 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 2913 | // at the front. Finally this function tells what the output shape |
| 2914 | // of the permuted concatenated tensor is going to be. |
| 2915 | // |
| 2916 | template <typename T> |
| 2917 | void PermuteInputsForConcat( |
| 2918 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2919 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2920 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 2921 | std::vector<T *> & inputData, |
| 2922 | std::vector<std::vector<T>> & inputDataStorage, |
| 2923 | armnn::PermutationVector & permuteVector, |
| 2924 | unsigned int & concatDim, |
| 2925 | armnn::TensorInfo & outputTensorInfo) |
| 2926 | { |
| 2927 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 2928 | "Expecting more than one tensor to be concatenated here"); |
| 2929 | |
| 2930 | unsigned int numDims = 0; |
| 2931 | unsigned int nthInput = 0; |
| 2932 | const armnn::PermutationVector identity({0, 1, 2}); |
| 2933 | |
| 2934 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 2935 | std::make_pair(identity, identity); |
| 2936 | |
| 2937 | inputDataStorage.resize(inputData.size()); |
| 2938 | |
| 2939 | for (auto && tensorInfo : inputTensorInfos) |
| 2940 | { |
| 2941 | if (numDims == 0) |
| 2942 | { |
| 2943 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 2944 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 2945 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2946 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2947 | permuteVector = permutations.second; |
| 2948 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 2949 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 2950 | } |
| 2951 | else |
| 2952 | { |
| 2953 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 2954 | "All inputs must have the same number of dimensions"); |
| 2955 | } |
| 2956 | |
| 2957 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 2958 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 2959 | |
| 2960 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2961 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2962 | permutations.first, |
| 2963 | newTensorInfo, |
| 2964 | inputData[nthInput], |
| 2965 | inputDataStorage[nthInput]); |
| 2966 | |
| 2967 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 2968 | inputTensorInfos[nthInput] = newTensorInfo; |
| 2969 | |
| 2970 | ++nthInput; |
| 2971 | } |
| 2972 | |
| 2973 | outputTensorInfo.SetShape( |
| 2974 | armnnUtils::Permuted( |
| 2975 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 2976 | permutations.first)); |
| 2977 | } |
| 2978 | |
| 2979 | |
| 2980 | // |
| 2981 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 2982 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2983 | // output. |
| 2984 | // |
| 2985 | template <typename T> |
| 2986 | void PermuteOutputForConcat( |
| 2987 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2988 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 2989 | const armnn::TensorInfo & tensorInfo, |
| 2990 | const armnn::PermutationVector & permuteVector, |
| 2991 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 2992 | T * data) |
| 2993 | { |
| 2994 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 2995 | if (data == nullptr) |
| 2996 | { |
| 2997 | // Nullptr is an error in the test. By returning without doing the permutation |
| 2998 | // I expect the caller to fail the test. It still makes sense to report this as |
| 2999 | // an assert for Debug builds. |
| 3000 | return; |
| 3001 | } |
| 3002 | |
| 3003 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 3004 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 3005 | std::vector<T> outputData; |
| 3006 | |
| 3007 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 3008 | |
| 3009 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3010 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3011 | permuteVector, |
| 3012 | resultTensorInfo, |
| 3013 | &inputData[0], |
| 3014 | outputData); |
| 3015 | |
| 3016 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 3017 | } |
| 3018 | |
| 3019 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3020 | void Concatenate( |
| 3021 | armnn::IWorkloadFactory& workloadFactory, |
| 3022 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3023 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 3024 | std::initializer_list<T *> inputsOrig, |
| 3025 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 3026 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3027 | unsigned int concatDim, |
| 3028 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3029 | { |
| 3030 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 3031 | if (output == nullptr) |
| 3032 | { |
| 3033 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3034 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3035 | // an assert for Debug builds. |
| 3036 | return; |
| 3037 | } |
| 3038 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3039 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3040 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 3041 | std::vector<T *> inputs = inputsOrig; |
| 3042 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 3043 | |
| 3044 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 3045 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3046 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3047 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 3048 | |
| 3049 | const size_t inputCount = inputTensorInfos.size(); |
| 3050 | |
| 3051 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 3052 | |
| 3053 | if (needPermuteForConcat) |
| 3054 | { |
| 3055 | // |
| 3056 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3057 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3058 | // |
| 3059 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3060 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3061 | inputTensorInfos, |
| 3062 | inputs, |
| 3063 | tmpInputDataStorage, |
| 3064 | permuteVector, |
| 3065 | concatDim, |
| 3066 | outputTensorInfo); |
| 3067 | } |
| 3068 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3069 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3070 | |
| 3071 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 3072 | inputHandles.reserve(inputCount); |
| 3073 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3074 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3075 | |
| 3076 | armnn::MergerQueueDescriptor queueDescriptor; |
| 3077 | armnn::OriginsDescriptor viewsDescriptor = CreateMergerDescriptorForConcatenation(inputTensorInfos, concatDim); |
| 3078 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 3079 | |
| 3080 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3081 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3082 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 3083 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 3084 | { |
| 3085 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 3086 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 3087 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3088 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3089 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3090 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3091 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 3092 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3093 | { |
| 3094 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 3095 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 3096 | subTensorsSupported ? |
| 3097 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 3098 | inputTensorInfo.GetShape(), |
| 3099 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 3100 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3101 | |
| 3102 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3103 | } |
| 3104 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3105 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3106 | else |
| 3107 | { |
| 3108 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3109 | { |
| 3110 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 3111 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3112 | } |
| 3113 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3114 | |
| 3115 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3116 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3117 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3118 | } |
| 3119 | |
| 3120 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3121 | |
| 3122 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(queueDescriptor, workloadInfo); |
| 3123 | |
| 3124 | for (auto& inputHandle : inputHandles) |
| 3125 | { |
| 3126 | inputHandle->Allocate(); |
| 3127 | } |
| 3128 | |
| 3129 | outputHandle->Allocate(); |
| 3130 | |
| 3131 | unsigned int nextInputId = 0; |
| 3132 | for (auto& inputHandle : inputHandles) |
| 3133 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3134 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 3135 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3136 | } |
| 3137 | |
| 3138 | workload->Execute(); |
| 3139 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3140 | if (needPermuteForConcat) |
| 3141 | { |
| 3142 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3143 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3144 | outputTensorInfo, |
| 3145 | permuteVector, |
| 3146 | std::move(outputHandle), |
| 3147 | output); |
| 3148 | } |
| 3149 | else |
| 3150 | { |
| 3151 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 3152 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3153 | } |
| 3154 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3155 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3156 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 3157 | armnn::IWorkloadFactory& workloadFactory, |
| 3158 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3159 | float qScale, |
| 3160 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3161 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3162 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3163 | |
| 3164 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 3165 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 3166 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 3167 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3168 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3169 | |
| 3170 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 3171 | |
| 3172 | std::vector<T> output; |
| 3173 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3174 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3175 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3176 | { input0.data(), input1.data(), input2.data() }, |
| 3177 | outputTensorInfo, |
| 3178 | output.data(), |
| 3179 | 0, |
| 3180 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3181 | |
| 3182 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 3183 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3184 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 3185 | })); |
| 3186 | |
| 3187 | return result; |
| 3188 | } |
| 3189 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3190 | LayerTestResult<float, 1> Concatenation1dTest( |
| 3191 | armnn::IWorkloadFactory& workloadFactory, |
| 3192 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3193 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3194 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3195 | } |
| 3196 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3197 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3198 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 3199 | armnn::IWorkloadFactory& workloadFactory, |
| 3200 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3201 | const armnn::TensorInfo& outputTensorInfo, |
| 3202 | unsigned int dimension, |
| 3203 | const float qScale, |
| 3204 | const int32_t qOffset) |
| 3205 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3206 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3207 | |
| 3208 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3209 | // Batch 0 |
| 3210 | 1.0f, 2.0f, 3.0f, |
| 3211 | |
| 3212 | // Batch 1 |
| 3213 | 10.0f, 11.0f, 12.0f, |
| 3214 | })); |
| 3215 | |
| 3216 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3217 | // Batch 0 |
| 3218 | 4.0f, 5.0f, 6.0f, |
| 3219 | |
| 3220 | // Batch 1 |
| 3221 | 13.0f, 14.0f, 15.0f, |
| 3222 | })); |
| 3223 | |
| 3224 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3225 | // Batch 0 |
| 3226 | 7.0f, 8.0f, 9.0f, |
| 3227 | |
| 3228 | // Batch 1 |
| 3229 | 16.0f, 17.0f, 18.0f, |
| 3230 | })); |
| 3231 | |
| 3232 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3233 | |
| 3234 | std::vector<T> output; |
| 3235 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3236 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3237 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3238 | { input0.data(), input1.data(), input2.data() }, |
| 3239 | outputTensorInfo, |
| 3240 | output.data(), |
| 3241 | dimension, |
| 3242 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3243 | |
| 3244 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3245 | return result; |
| 3246 | } |
| 3247 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3248 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3249 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 3250 | armnn::IWorkloadFactory& workloadFactory, |
| 3251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3252 | float qScale, |
| 3253 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3254 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3255 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3256 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3257 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3258 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 3259 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3260 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3261 | // Batch 0 |
| 3262 | 1.0f, 2.0f, 3.0f, |
| 3263 | |
| 3264 | // Batch 1 |
| 3265 | 10.0f, 11.0f, 12.0f, |
| 3266 | |
| 3267 | // Batch 2 |
| 3268 | 4.0f, 5.0f, 6.0f, |
| 3269 | |
| 3270 | // Batch 3 |
| 3271 | 13.0f, 14.0f, 15.0f, |
| 3272 | |
| 3273 | // Batch 4 |
| 3274 | 7.0f, 8.0f, 9.0f, |
| 3275 | |
| 3276 | // Batch 5 |
| 3277 | 16.0f, 17.0f, 18.0f, |
| 3278 | })); |
| 3279 | |
| 3280 | return result; |
| 3281 | } |
| 3282 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3283 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 3284 | armnn::IWorkloadFactory& workloadFactory, |
| 3285 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3286 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3287 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3288 | } |
| 3289 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3290 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3291 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 3292 | armnn::IWorkloadFactory& workloadFactory, |
| 3293 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3294 | float qScale, |
| 3295 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3296 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3297 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3298 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3299 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3300 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 3301 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3302 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3303 | // Batch 0 |
| 3304 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3305 | |
| 3306 | // Batch 1 |
| 3307 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 3308 | })); |
| 3309 | |
| 3310 | return result; |
| 3311 | } |
| 3312 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3313 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 3314 | armnn::IWorkloadFactory& workloadFactory, |
| 3315 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3316 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3317 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3318 | } |
| 3319 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3320 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3321 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 3322 | armnn::IWorkloadFactory& workloadFactory, |
| 3323 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3324 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3325 | int32_t qOffset) |
| 3326 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3327 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3328 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3329 | // Batch 0 |
| 3330 | 1.0f, 2.0f, 3.0f, |
| 3331 | |
| 3332 | // Batch 1 |
| 3333 | 10.0f, 11.0f, 12.0f, |
| 3334 | })); |
| 3335 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3336 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3337 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3338 | // Batch 0 |
| 3339 | 4.0f, 5.0f, 6.0f, |
| 3340 | |
| 3341 | // Batch 1 |
| 3342 | 13.0f, 14.0f, 15.0f, |
| 3343 | |
| 3344 | // Batch 0 |
| 3345 | 7.0f, 8.0f, 9.0f, |
| 3346 | })); |
| 3347 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3348 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3349 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3350 | // Batch 1 |
| 3351 | 16.0f, 17.0f, 18.0f, |
| 3352 | })); |
| 3353 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3354 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3355 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3356 | |
| 3357 | std::vector<T> output; |
| 3358 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3359 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3360 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3361 | { input0.data(), input1.data(), input2.data() }, |
| 3362 | outputTensorInfo, |
| 3363 | output.data(), |
| 3364 | 0, |
| 3365 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3366 | |
| 3367 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3368 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3369 | // Batch 0 |
| 3370 | 1.0f, 2.0f, 3.0f, |
| 3371 | |
| 3372 | // Batch 1 |
| 3373 | 10.0f, 11.0f, 12.0f, |
| 3374 | |
| 3375 | // Batch 2 |
| 3376 | 4.0f, 5.0f, 6.0f, |
| 3377 | |
| 3378 | // Batch 3 |
| 3379 | 13.0f, 14.0f, 15.0f, |
| 3380 | |
| 3381 | // Batch 4 |
| 3382 | 7.0f, 8.0f, 9.0f, |
| 3383 | |
| 3384 | // Batch 5 |
| 3385 | 16.0f, 17.0f, 18.0f, |
| 3386 | })); |
| 3387 | |
| 3388 | return result; |
| 3389 | } |
| 3390 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3391 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 3392 | armnn::IWorkloadFactory& workloadFactory, |
| 3393 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3394 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3395 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3396 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3397 | } |
| 3398 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3399 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3400 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 3401 | armnn::IWorkloadFactory& workloadFactory, |
| 3402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3403 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3404 | int32_t qOffset) |
| 3405 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3406 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3407 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3408 | // Batch 0 |
| 3409 | 1.0f, 2.0f, 3.0f, |
| 3410 | |
| 3411 | // Batch 1 |
| 3412 | 10.0f, 11.0f, 12.0f, |
| 3413 | })); |
| 3414 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3415 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3416 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3417 | // Batch 0 |
| 3418 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 3419 | |
| 3420 | // Batch 1 |
| 3421 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 3422 | })); |
| 3423 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3424 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3425 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3426 | // Batch 0 |
| 3427 | 9.0f, |
| 3428 | |
| 3429 | // Batch 1 |
| 3430 | 18.0f |
| 3431 | })); |
| 3432 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3433 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3434 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3435 | |
| 3436 | std::vector<T> output; |
| 3437 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3438 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3439 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3440 | { input0.data(), input1.data(), input2.data() }, |
| 3441 | outputTensorInfo, |
| 3442 | output.data(), |
| 3443 | 1, |
| 3444 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3445 | |
| 3446 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3447 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3448 | // Batch 0 |
| 3449 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3450 | |
| 3451 | // Batch 1 |
| 3452 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 3453 | })); |
| 3454 | |
| 3455 | return result; |
| 3456 | } |
| 3457 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3458 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 3459 | armnn::IWorkloadFactory& workloadFactory, |
| 3460 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3461 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3462 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3463 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3464 | } |
| 3465 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3466 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3467 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 3468 | armnn::IWorkloadFactory& workloadFactory, |
| 3469 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3470 | const armnn::TensorInfo& outputTensorInfo, |
| 3471 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3472 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3473 | float qScale, |
| 3474 | int32_t qOffset) |
| 3475 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3476 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3477 | |
| 3478 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3479 | // Batch 0, Channel 0 |
| 3480 | 1.0f, 2.0f, |
| 3481 | |
| 3482 | // Batch 0, Channel 1 |
| 3483 | 3.0f, 4.0f, |
| 3484 | |
| 3485 | // Batch 0, Channel 2 |
| 3486 | 5.0f, 6.0f, |
| 3487 | |
| 3488 | // Batch 1, Channel 0 |
| 3489 | 19.0f, 20.0f, |
| 3490 | |
| 3491 | // Batch 1, Channel 1 |
| 3492 | 21.0f, 22.0f, |
| 3493 | |
| 3494 | // Batch 1, Channel 2 |
| 3495 | 23.0f, 24.0f |
| 3496 | })); |
| 3497 | |
| 3498 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3499 | // Batch 0, Channel 0 |
| 3500 | 7.0f, 8.0f, |
| 3501 | |
| 3502 | // Batch 0, Channel 1 |
| 3503 | 9.0f, 10.0f, |
| 3504 | |
| 3505 | // Batch 0, Channel 2 |
| 3506 | 11.0f, 12.0f, |
| 3507 | |
| 3508 | // Batch 1, Channel 0 |
| 3509 | 25.0f, 26.0f, |
| 3510 | |
| 3511 | // Batch 1, Channel 1 |
| 3512 | 27.0f, 28.0f, |
| 3513 | |
| 3514 | // Batch 1, Channel 2 |
| 3515 | 29.0f, 30.0f |
| 3516 | })); |
| 3517 | |
| 3518 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3519 | // Batch 0, Channel 0 |
| 3520 | 13.0f, 14.0f, |
| 3521 | |
| 3522 | // Batch 0, Channel 1 |
| 3523 | 15.0f, 16.0f, |
| 3524 | |
| 3525 | // Batch 0, Channel 2 |
| 3526 | 17.0f, 18.0f, |
| 3527 | |
| 3528 | // Batch 1, Channel 0 |
| 3529 | 31.0f, 32.0f, |
| 3530 | |
| 3531 | // Batch 1, Channel 1 |
| 3532 | 33.0f, 34.0f, |
| 3533 | |
| 3534 | // Batch 1, Channel 2 |
| 3535 | 35.0f, 36.0f |
| 3536 | })); |
| 3537 | |
| 3538 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 3539 | |
| 3540 | std::vector<T> output; |
| 3541 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3542 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3543 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3544 | { input0.data(), input1.data(), input2.data() }, |
| 3545 | outputTensorInfo, |
| 3546 | output.data(), |
| 3547 | dimension, |
| 3548 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3549 | |
| 3550 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 3551 | return result; |
| 3552 | } |
| 3553 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3554 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3555 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 3556 | armnn::IWorkloadFactory& workloadFactory, |
| 3557 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3558 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3559 | int32_t qOffset) |
| 3560 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3561 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3562 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3563 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 3564 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 3565 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3566 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3567 | // Batch 0, Channel 0 |
| 3568 | 1.0f, 2.0f, |
| 3569 | |
| 3570 | // Batch 0, Channel 1 |
| 3571 | 3.0f, 4.0f, |
| 3572 | |
| 3573 | // Batch 0, Channel 2 |
| 3574 | 5.0f, 6.0f, |
| 3575 | |
| 3576 | // Batch 1, Channel 0 |
| 3577 | 19.0f, 20.0f, |
| 3578 | |
| 3579 | // Batch 1, Channel 1 |
| 3580 | 21.0f, 22.0f, |
| 3581 | |
| 3582 | // Batch 1, Channel 2 |
| 3583 | 23.0f, 24.0f, |
| 3584 | |
| 3585 | // Batch 2, Channel 0 |
| 3586 | 7.0f, 8.0f, |
| 3587 | |
| 3588 | // Batch 2, Channel 1 |
| 3589 | 9.0f, 10.0f, |
| 3590 | |
| 3591 | // Batch 2, Channel 2 |
| 3592 | 11.0f, 12.0f, |
| 3593 | |
| 3594 | // Batch 3, Channel 0 |
| 3595 | 25.0f, 26.0f, |
| 3596 | |
| 3597 | // Batch 3, Channel 1 |
| 3598 | 27.0f, 28.0f, |
| 3599 | |
| 3600 | // Batch 3, Channel 2 |
| 3601 | 29.0f, 30.0f, |
| 3602 | |
| 3603 | // Batch 4, Channel 0 |
| 3604 | 13.0f, 14.0f, |
| 3605 | |
| 3606 | // Batch 4, Channel 1 |
| 3607 | 15.0f, 16.0f, |
| 3608 | |
| 3609 | // Batch 4, Channel 2 |
| 3610 | 17.0f, 18.0f, |
| 3611 | |
| 3612 | // Batch 5, Channel 0 |
| 3613 | 31.0f, 32.0f, |
| 3614 | |
| 3615 | // Batch 5, Channel 1 |
| 3616 | 33.0f, 34.0f, |
| 3617 | |
| 3618 | // Batch 5, Channel 2 |
| 3619 | 35.0f, 36.0f |
| 3620 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3621 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3622 | return result; |
| 3623 | } |
| 3624 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3625 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 3626 | armnn::IWorkloadFactory& workloadFactory, |
| 3627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3628 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3629 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3630 | } |
| 3631 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3632 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3633 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 3634 | armnn::IWorkloadFactory& workloadFactory, |
| 3635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3636 | float qScale, |
| 3637 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3638 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3639 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3640 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3641 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 3642 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3643 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3644 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3645 | // Batch 0, Channel 0 |
| 3646 | 1.0f, 2.0f, |
| 3647 | |
| 3648 | // Batch 0, Channel 1 |
| 3649 | 3.0f, 4.0f, |
| 3650 | |
| 3651 | // Batch 0, Channel 2 |
| 3652 | 5.0f, 6.0f, |
| 3653 | |
| 3654 | // Batch 0, Channel 3 |
| 3655 | 7.0f, 8.0f, |
| 3656 | |
| 3657 | // Batch 0, Channel 4 |
| 3658 | 9.0f, 10.0f, |
| 3659 | |
| 3660 | // Batch 0, Channel 5 |
| 3661 | 11.0f, 12.0f, |
| 3662 | |
| 3663 | // Batch 0, Channel 6 |
| 3664 | 13.0f, 14.0f, |
| 3665 | |
| 3666 | // Batch 0, Channel 7 |
| 3667 | 15.0f, 16.0f, |
| 3668 | |
| 3669 | // Batch 0, Channel 8 |
| 3670 | 17.0f, 18.0f, |
| 3671 | |
| 3672 | // Batch 1, Channel 0 |
| 3673 | 19.0f, 20.0f, |
| 3674 | |
| 3675 | // Batch 1, Channel 1 |
| 3676 | 21.0f, 22.0f, |
| 3677 | |
| 3678 | // Batch 1, Channel 2 |
| 3679 | 23.0f, 24.0f, |
| 3680 | |
| 3681 | // Batch 1, Channel 3 |
| 3682 | 25.0f, 26.0f, |
| 3683 | |
| 3684 | // Batch 1, Channel 4 |
| 3685 | 27.0f, 28.0f, |
| 3686 | |
| 3687 | // Batch 1, Channel 5 |
| 3688 | 29.0f, 30.0f, |
| 3689 | |
| 3690 | // Batch 1, Channel 6 |
| 3691 | 31.0f, 32.0f, |
| 3692 | |
| 3693 | // Batch 1, Channel 7 |
| 3694 | 33.0f, 34.0f, |
| 3695 | |
| 3696 | // Batch 1, Channel 8 |
| 3697 | 35.0f, 36.0f |
| 3698 | })); |
| 3699 | |
| 3700 | return result; |
| 3701 | } |
| 3702 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3703 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 3704 | armnn::IWorkloadFactory& workloadFactory, |
| 3705 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3706 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3707 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3708 | } |
| 3709 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3710 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3711 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 3712 | armnn::IWorkloadFactory& workloadFactory, |
| 3713 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3714 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3715 | float qScale, |
| 3716 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3717 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3718 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3719 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3720 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 3721 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3722 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3723 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3724 | // Batch 0, Channel 0 |
| 3725 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 3726 | |
| 3727 | // Batch 0, Channel 1 |
| 3728 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 3729 | |
| 3730 | // Batch 0, Channel 2 |
| 3731 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 3732 | |
| 3733 | // Batch 1, Channel 0 |
| 3734 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 3735 | |
| 3736 | // Batch 1, Channel 1 |
| 3737 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 3738 | |
| 3739 | // Batch 1, Channel 2 |
| 3740 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 3741 | })); |
| 3742 | |
| 3743 | return result; |
| 3744 | } |
| 3745 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3746 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 3747 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3748 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3749 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3750 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3751 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 3752 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3753 | } |
| 3754 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3755 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3756 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 3757 | armnn::IWorkloadFactory& workloadFactory, |
| 3758 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3759 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3760 | int32_t qOffset) |
| 3761 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3762 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3763 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3764 | // Batch 0, Channel 0 |
| 3765 | 1.0f, 2.0f, |
| 3766 | |
| 3767 | // Batch 0, Channel 1 |
| 3768 | 3.0f, 4.0f, |
| 3769 | |
| 3770 | // Batch 0, Channel 2 |
| 3771 | 5.0f, 6.0f, |
| 3772 | |
| 3773 | // Batch 1, Channel 0 |
| 3774 | 19.0f, 20.0f, |
| 3775 | |
| 3776 | // Batch 1, Channel 1 |
| 3777 | 21.0f, 22.0f, |
| 3778 | |
| 3779 | // Batch 1, Channel 2 |
| 3780 | 23.0f, 24.0f |
| 3781 | })); |
| 3782 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3783 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3784 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3785 | // Batch 0, Channel 0 |
| 3786 | 7.0f, 8.0f, |
| 3787 | |
| 3788 | // Batch 0, Channel 1 |
| 3789 | 9.0f, 10.0f, |
| 3790 | |
| 3791 | // Batch 0, Channel 2 |
| 3792 | 11.0f, 12.0f, |
| 3793 | })); |
| 3794 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3795 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3796 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3797 | // Batch 0, Channel 0 |
| 3798 | 25.0f, 26.0f, |
| 3799 | |
| 3800 | // Batch 0, Channel 1 |
| 3801 | 27.0f, 28.0f, |
| 3802 | |
| 3803 | // Batch 0, Channel 2 |
| 3804 | 29.0f, 30.0f, |
| 3805 | |
| 3806 | // Batch 1, Channel 0 |
| 3807 | 13.0f, 14.0f, |
| 3808 | |
| 3809 | // Batch 1, Channel 1 |
| 3810 | 15.0f, 16.0f, |
| 3811 | |
| 3812 | // Batch 1, Channel 2 |
| 3813 | 17.0f, 18.0f, |
| 3814 | |
| 3815 | // Batch 2, Channel 0 |
| 3816 | 31.0f, 32.0f, |
| 3817 | |
| 3818 | // Batch 2, Channel 1 |
| 3819 | 33.0f, 34.0f, |
| 3820 | |
| 3821 | // Batch 2, Channel 2 |
| 3822 | 35.0f, 36.0f |
| 3823 | })); |
| 3824 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3825 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3826 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 3827 | |
| 3828 | std::vector<T> output; |
| 3829 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3830 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3831 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3832 | { input0.data(), input1.data(), input2.data() }, |
| 3833 | outputTensorInfo, |
| 3834 | output.data(), |
| 3835 | 0, |
| 3836 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3837 | |
| 3838 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 3839 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3840 | // Batch 0, Channel 0 |
| 3841 | 1.0f, 2.0f, |
| 3842 | |
| 3843 | // Batch 0, Channel 1 |
| 3844 | 3.0f, 4.0f, |
| 3845 | |
| 3846 | // Batch 0, Channel 2 |
| 3847 | 5.0f, 6.0f, |
| 3848 | |
| 3849 | // Batch 1, Channel 0 |
| 3850 | 19.0f, 20.0f, |
| 3851 | |
| 3852 | // Batch 1, Channel 1 |
| 3853 | 21.0f, 22.0f, |
| 3854 | |
| 3855 | // Batch 1, Channel 2 |
| 3856 | 23.0f, 24.0f, |
| 3857 | |
| 3858 | // Batch 2, Channel 0 |
| 3859 | 7.0f, 8.0f, |
| 3860 | |
| 3861 | // Batch 2, Channel 1 |
| 3862 | 9.0f, 10.0f, |
| 3863 | |
| 3864 | // Batch 2, Channel 2 |
| 3865 | 11.0f, 12.0f, |
| 3866 | |
| 3867 | // Batch 3, Channel 0 |
| 3868 | 25.0f, 26.0f, |
| 3869 | |
| 3870 | // Batch 3, Channel 1 |
| 3871 | 27.0f, 28.0f, |
| 3872 | |
| 3873 | // Batch 3, Channel 2 |
| 3874 | 29.0f, 30.0f, |
| 3875 | |
| 3876 | // Batch 4, Channel 0 |
| 3877 | 13.0f, 14.0f, |
| 3878 | |
| 3879 | // Batch 4, Channel 1 |
| 3880 | 15.0f, 16.0f, |
| 3881 | |
| 3882 | // Batch 4, Channel 2 |
| 3883 | 17.0f, 18.0f, |
| 3884 | |
| 3885 | // Batch 5, Channel 0 |
| 3886 | 31.0f, 32.0f, |
| 3887 | |
| 3888 | // Batch 5, Channel 1 |
| 3889 | 33.0f, 34.0f, |
| 3890 | |
| 3891 | // Batch 5, Channel 2 |
| 3892 | 35.0f, 36.0f |
| 3893 | })); |
| 3894 | |
| 3895 | return result; |
| 3896 | } |
| 3897 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3898 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 3899 | armnn::IWorkloadFactory& workloadFactory, |
| 3900 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3901 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3902 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3903 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3904 | } |
| 3905 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3906 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3907 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 3908 | armnn::IWorkloadFactory& workloadFactory, |
| 3909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3910 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3911 | int32_t qOffset) |
| 3912 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3913 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3914 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3915 | // Batch 0, Channel 0 |
| 3916 | 1.0f, 2.0f, |
| 3917 | |
| 3918 | // Batch 0, Channel 1 |
| 3919 | 3.0f, 4.0f, |
| 3920 | |
| 3921 | // Batch 0, Channel 2 |
| 3922 | 5.0f, 6.0f, |
| 3923 | |
| 3924 | // Batch 1, Channel 0 |
| 3925 | 19.0f, 20.0f, |
| 3926 | |
| 3927 | // Batch 1, Channel 1 |
| 3928 | 21.0f, 22.0f, |
| 3929 | |
| 3930 | // Batch 1, Channel 2 |
| 3931 | 23.0f, 24.0f |
| 3932 | })); |
| 3933 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3934 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3935 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3936 | // Batch 0, Channel 0 |
| 3937 | 7.0f, 8.0f, |
| 3938 | |
| 3939 | // Batch 0, Channel 1 |
| 3940 | 9.0f, 10.0f, |
| 3941 | |
| 3942 | // Batch 0, Channel 2 |
| 3943 | 11.0f, 12.0f, |
| 3944 | |
| 3945 | // Batch 0, Channel 3 |
| 3946 | 25.0f, 26.0f, |
| 3947 | |
| 3948 | // Batch 1, Channel 0 |
| 3949 | 27.0f, 28.0f, |
| 3950 | |
| 3951 | // Batch 1, Channel 1 |
| 3952 | 29.0f, 30.0f, |
| 3953 | |
| 3954 | // Batch 1, Channel 2 |
| 3955 | 13.0f, 14.0f, |
| 3956 | |
| 3957 | // Batch 1, Channel 3 |
| 3958 | 15.0f, 16.0f, |
| 3959 | })); |
| 3960 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3961 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3962 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3963 | // Batch 0, Channel 0 |
| 3964 | 17.0f, 18.0f, |
| 3965 | |
| 3966 | // Batch 1, Channel 0 |
| 3967 | 31.0f, 32.0f, |
| 3968 | })); |
| 3969 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3970 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3971 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 3972 | |
| 3973 | std::vector<T> output; |
| 3974 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3975 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3976 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3977 | { input0.data(), input1.data(), input2.data() }, |
| 3978 | outputTensorInfo, |
| 3979 | output.data(), |
| 3980 | 1, |
| 3981 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3982 | |
| 3983 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 3984 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3985 | // Batch 0, Channel 0 |
| 3986 | 1.0f, 2.0f, |
| 3987 | |
| 3988 | // Batch 0, Channel 1 |
| 3989 | 3.0f, 4.0f, |
| 3990 | |
| 3991 | // Batch 0, Channel 2 |
| 3992 | 5.0f, 6.0f, |
| 3993 | |
| 3994 | // Batch 0, Channel 3 |
| 3995 | 7.0f, 8.0f, |
| 3996 | |
| 3997 | // Batch 0, Channel 4 |
| 3998 | 9.0f, 10.0f, |
| 3999 | |
| 4000 | // Batch 0, Channel 5 |
| 4001 | 11.0f, 12.0f, |
| 4002 | |
| 4003 | // Batch 0, Channel 6 |
| 4004 | 25.0f, 26.0f, |
| 4005 | |
| 4006 | // Batch 0, Channel 7 |
| 4007 | 17.0f, 18.0f, |
| 4008 | |
| 4009 | // Batch 1, Channel 0 |
| 4010 | 19.0f, 20.0f, |
| 4011 | |
| 4012 | // Batch 1, Channel 1 |
| 4013 | 21.0f, 22.0f, |
| 4014 | |
| 4015 | // Batch 1, Channel 2 |
| 4016 | 23.0f, 24.0f, |
| 4017 | |
| 4018 | // Batch 1, Channel 3 |
| 4019 | 27.0f, 28.0f, |
| 4020 | |
| 4021 | // Batch 1, Channel 4 |
| 4022 | 29.0f, 30.0f, |
| 4023 | |
| 4024 | // Batch 1, Channel 5 |
| 4025 | 13.0f, 14.0f, |
| 4026 | |
| 4027 | // Batch 1, Channel 6 |
| 4028 | 15.0f, 16.0f, |
| 4029 | |
| 4030 | // Batch 1, Channel 7 |
| 4031 | 31.0f, 32.0f, |
| 4032 | })); |
| 4033 | |
| 4034 | return result; |
| 4035 | } |
| 4036 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4037 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 4038 | armnn::IWorkloadFactory& workloadFactory, |
| 4039 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4040 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4041 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4042 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4043 | } |
| 4044 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4045 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4046 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 4047 | armnn::IWorkloadFactory& workloadFactory, |
| 4048 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4049 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4050 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4051 | int32_t qOffset) |
| 4052 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4053 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4054 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4055 | // Batch 0, Channel 0 |
| 4056 | 1.0f, 2.0f, |
| 4057 | |
| 4058 | // Batch 0, Channel 1 |
| 4059 | 3.0f, 4.0f, |
| 4060 | |
| 4061 | // Batch 0, Channel 2 |
| 4062 | 5.0f, 6.0f, |
| 4063 | |
| 4064 | // Batch 1, Channel 0 |
| 4065 | 19.0f, 20.0f, |
| 4066 | |
| 4067 | // Batch 1, Channel 1 |
| 4068 | 21.0f, 22.0f, |
| 4069 | |
| 4070 | // Batch 1, Channel 2 |
| 4071 | 23.0f, 24.0f |
| 4072 | })); |
| 4073 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4074 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4075 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4076 | // Batch 0, Channel 0 |
| 4077 | 7.0f, |
| 4078 | |
| 4079 | // Batch 0, Channel 1 |
| 4080 | 9.0f, |
| 4081 | |
| 4082 | // Batch 0, Channel 2 |
| 4083 | 11.0f, |
| 4084 | |
| 4085 | // Batch 1, Channel 0 |
| 4086 | 25.0f, |
| 4087 | |
| 4088 | // Batch 1, Channel 1 |
| 4089 | 27.0f, |
| 4090 | |
| 4091 | // Batch 1, Channel 2 |
| 4092 | 29.0f |
| 4093 | })); |
| 4094 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4095 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4096 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4097 | // Batch 0, Channel 0 |
| 4098 | 13.0f, 14.0f, 50.0f, |
| 4099 | |
| 4100 | // Batch 0, Channel 1 |
| 4101 | 15.0f, 16.0f, 51.0f, |
| 4102 | |
| 4103 | // Batch 0, Channel 2 |
| 4104 | 17.0f, 18.0f, 52.0f, |
| 4105 | |
| 4106 | // Batch 1, Channel 0 |
| 4107 | 31.0f, 32.0f, 53.0f, |
| 4108 | |
| 4109 | // Batch 1, Channel 1 |
| 4110 | 33.0f, 34.0f, 54.0f, |
| 4111 | |
| 4112 | // Batch 1, Channel 2 |
| 4113 | 35.0f, 36.0f, 55.0f, |
| 4114 | })); |
| 4115 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4116 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4117 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4118 | |
| 4119 | std::vector<T> output; |
| 4120 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4121 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4122 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4123 | { input0.data(), input1.data(), input2.data() }, |
| 4124 | outputTensorInfo, |
| 4125 | output.data(), |
| 4126 | 2, |
| 4127 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4128 | |
| 4129 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4130 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4131 | // Batch 0, Channel 0 |
| 4132 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 4133 | |
| 4134 | // Batch 0, Channel 1 |
| 4135 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 4136 | |
| 4137 | // Batch 0, Channel 2 |
| 4138 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 4139 | |
| 4140 | // Batch 1, Channel 0 |
| 4141 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 4142 | |
| 4143 | // Batch 1, Channel 1 |
| 4144 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 4145 | |
| 4146 | // Batch 1, Channel 2 |
| 4147 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 4148 | })); |
| 4149 | |
| 4150 | return result; |
| 4151 | } |
| 4152 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4153 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 4154 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4156 | bool useSubtensor) |
| 4157 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4158 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4159 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4160 | } |
| 4161 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4162 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4163 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 4164 | armnn::IWorkloadFactory& workloadFactory, |
| 4165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4166 | const armnn::TensorInfo& outputTensorInfo, |
| 4167 | unsigned int dimension, |
| 4168 | bool useSubtensor, |
| 4169 | float qScale, |
| 4170 | int32_t qOffset) |
| 4171 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4172 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4173 | |
| 4174 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4175 | 1.0f, 2.0f, |
| 4176 | 3.0f, 4.0f, |
| 4177 | 5.0f, 6.0f, |
| 4178 | 7.0f, 8.0f, |
| 4179 | 9.0f, 10.0f, |
| 4180 | 11.0f, 12.0f |
| 4181 | })); |
| 4182 | |
| 4183 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4184 | 11.0f, 12.0f, |
| 4185 | 13.0f, 14.0f, |
| 4186 | 15.0f, 16.0f, |
| 4187 | 17.0f, 18.0f, |
| 4188 | 19.0f, 20.0f, |
| 4189 | 21.0f, 22.0f |
| 4190 | })); |
| 4191 | |
| 4192 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4193 | 21.0f, 22.0f, |
| 4194 | 23.0f, 24.0f, |
| 4195 | 25.0f, 26.0f, |
| 4196 | 27.0f, 28.0f, |
| 4197 | 29.0f, 30.0f, |
| 4198 | 31.0f, 32.0f |
| 4199 | })); |
| 4200 | |
| 4201 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4202 | |
| 4203 | std::vector<T> output; |
| 4204 | output.resize(outputTensorInfo.GetNumElements()); |
| 4205 | |
| 4206 | Concatenate<T>(workloadFactory, |
| 4207 | memoryManager, |
| 4208 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 4209 | {input0.data(), input1.data(), input2.data()}, |
| 4210 | outputTensorInfo, |
| 4211 | output.data(), |
| 4212 | dimension, |
| 4213 | useSubtensor); |
| 4214 | |
| 4215 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4216 | return result; |
| 4217 | } |
| 4218 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4219 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4220 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 4221 | armnn::IWorkloadFactory& workloadFactory, |
| 4222 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4223 | float qScale, |
| 4224 | int32_t qOffset) |
| 4225 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4226 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4227 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4228 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4229 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4230 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4231 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4232 | 1.0f, 2.0f, |
| 4233 | 3.0f, 4.0f, |
| 4234 | 5.0f, 6.0f, |
| 4235 | 7.0f, 8.0f, |
| 4236 | 9.0f, 10.0f, |
| 4237 | 11.0f, 12.0f, |
| 4238 | |
| 4239 | 11.0f, 12.0f, |
| 4240 | 13.0f, 14.0f, |
| 4241 | 15.0f, 16.0f, |
| 4242 | 17.0f, 18.0f, |
| 4243 | 19.0f, 20.0f, |
| 4244 | 21.0f, 22.0f, |
| 4245 | |
| 4246 | 21.0f, 22.0f, |
| 4247 | 23.0f, 24.0f, |
| 4248 | 25.0f, 26.0f, |
| 4249 | 27.0f, 28.0f, |
| 4250 | 29.0f, 30.0f, |
| 4251 | 31.0f, 32.0f |
| 4252 | })); |
| 4253 | return result; |
| 4254 | } |
| 4255 | |
| 4256 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 4257 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4259 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4260 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4261 | } |
| 4262 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4263 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4264 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 4265 | armnn::IWorkloadFactory& workloadFactory, |
| 4266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4267 | float qScale, |
| 4268 | int32_t qOffset) |
| 4269 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4270 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4271 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4272 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4273 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 4274 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4275 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4276 | 1.0f, 2.0f, |
| 4277 | 3.0f, 4.0f, |
| 4278 | 5.0f, 6.0f, |
| 4279 | 7.0f, 8.0f, |
| 4280 | 9.0f, 10.0f, |
| 4281 | 11.0f, 12.0f, |
| 4282 | |
| 4283 | 11.0f, 12.0f, |
| 4284 | 13.0f, 14.0f, |
| 4285 | 15.0f, 16.0f, |
| 4286 | 17.0f, 18.0f, |
| 4287 | 19.0f, 20.0f, |
| 4288 | 21.0f, 22.0f, |
| 4289 | |
| 4290 | 21.0f, 22.0f, |
| 4291 | 23.0f, 24.0f, |
| 4292 | 25.0f, 26.0f, |
| 4293 | 27.0f, 28.0f, |
| 4294 | 29.0f, 30.0f, |
| 4295 | 31.0f, 32.0f |
| 4296 | })); |
| 4297 | |
| 4298 | return result; |
| 4299 | } |
| 4300 | |
| 4301 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 4302 | armnn::IWorkloadFactory& workloadFactory, |
| 4303 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4304 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4305 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +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>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4309 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 4310 | armnn::IWorkloadFactory& workloadFactory, |
| 4311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4312 | float qScale, |
| 4313 | int32_t qOffset) |
| 4314 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4315 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4316 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4317 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4318 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 4319 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4320 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4321 | 1.0f, 2.0f, |
| 4322 | 3.0f, 4.0f, |
| 4323 | 11.0f, 12.0f, |
| 4324 | 13.0f, 14.0f, |
| 4325 | 21.0f, 22.0f, |
| 4326 | 23.0f, 24.0f, |
| 4327 | |
| 4328 | 5.0f, 6.0f, |
| 4329 | 7.0f, 8.0f, |
| 4330 | 15.0f, 16.0f, |
| 4331 | 17.0f, 18.0f, |
| 4332 | 25.0f, 26.0f, |
| 4333 | 27.0f, 28.0f, |
| 4334 | |
| 4335 | 9.0f, 10.0f, |
| 4336 | 11.0f, 12.0f, |
| 4337 | 19.0f, 20.0f, |
| 4338 | 21.0f, 22.0f, |
| 4339 | 29.0f, 30.0f, |
| 4340 | 31.0f, 32.0f |
| 4341 | })); |
| 4342 | |
| 4343 | return result; |
| 4344 | } |
| 4345 | |
| 4346 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 4347 | armnn::IWorkloadFactory& workloadFactory, |
| 4348 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4349 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4350 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4351 | } |
| 4352 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4353 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4354 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 4355 | armnn::IWorkloadFactory& workloadFactory, |
| 4356 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4357 | float qScale, |
| 4358 | int32_t qOffset, |
| 4359 | bool useSubtensor) |
| 4360 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4361 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4362 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4363 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4364 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 4365 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4366 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4367 | 1.0f, 2.0f, |
| 4368 | 11.0f, 12.0f, |
| 4369 | 21.0f, 22.0f, |
| 4370 | 3.0f, 4.0f, |
| 4371 | 13.0f, 14.0f, |
| 4372 | 23.0f, 24.0f, |
| 4373 | |
| 4374 | 5.0f, 6.0f, |
| 4375 | 15.0f, 16.0f, |
| 4376 | 25.0f, 26.0f, |
| 4377 | 7.0f, 8.0f, |
| 4378 | 17.0f, 18.0f, |
| 4379 | 27.0f, 28.0f, |
| 4380 | |
| 4381 | 9.0f, 10.0f, |
| 4382 | 19.0f, 20.0f, |
| 4383 | 29.0f, 30.0f, |
| 4384 | 11.0f, 12.0f, |
| 4385 | 21.0f, 22.0f, |
| 4386 | 31.0f, 32.0f |
| 4387 | })); |
| 4388 | |
| 4389 | return result; |
| 4390 | } |
| 4391 | |
| 4392 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 4393 | armnn::IWorkloadFactory& workloadFactory, |
| 4394 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4395 | bool useSubtensor) |
| 4396 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4397 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 4398 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4399 | } |
| 4400 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4401 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4402 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 4403 | armnn::IWorkloadFactory& workloadFactory, |
| 4404 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4405 | float qScale, |
| 4406 | int32_t qOffset) |
| 4407 | { |
| 4408 | unsigned int dimension = 0; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4409 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4410 | |
| 4411 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4412 | 1.0f, 2.0f, |
| 4413 | 3.0f, 4.0f, |
| 4414 | 5.0f, 6.0f, |
| 4415 | 7.0f, 8.0f, |
| 4416 | 9.0f, 10.0f, |
| 4417 | 11.0f, 12.0f |
| 4418 | })); |
| 4419 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4420 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4421 | |
| 4422 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4423 | 11.0f, 12.0f, |
| 4424 | 13.0f, 14.0f, |
| 4425 | 15.0f, 16.0f, |
| 4426 | 17.0f, 18.0f, |
| 4427 | 19.0f, 20.0f, |
| 4428 | 21.0f, 22.0f, |
| 4429 | |
| 4430 | 21.0f, 22.0f, |
| 4431 | 23.0f, 24.0f, |
| 4432 | 25.0f, 26.0f, |
| 4433 | 27.0f, 28.0f, |
| 4434 | 29.0f, 30.0f, |
| 4435 | 31.0f, 32.0f |
| 4436 | |
| 4437 | })); |
| 4438 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4439 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4440 | |
| 4441 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4442 | |
| 4443 | std::vector<T> output; |
| 4444 | output.resize(outputTensorInfo.GetNumElements()); |
| 4445 | Concatenate<T>(workloadFactory, |
| 4446 | memoryManager, |
| 4447 | {inputTensorInfo0, inputTensorInfo1}, |
| 4448 | {input0.data(), input1.data()}, |
| 4449 | outputTensorInfo, |
| 4450 | output.data(), |
| 4451 | dimension, |
| 4452 | true); |
| 4453 | |
| 4454 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4455 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4456 | 1.0f, 2.0f, |
| 4457 | 3.0f, 4.0f, |
| 4458 | 5.0f, 6.0f, |
| 4459 | 7.0f, 8.0f, |
| 4460 | 9.0f, 10.0f, |
| 4461 | 11.0f, 12.0f, |
| 4462 | |
| 4463 | 11.0f, 12.0f, |
| 4464 | 13.0f, 14.0f, |
| 4465 | 15.0f, 16.0f, |
| 4466 | 17.0f, 18.0f, |
| 4467 | 19.0f, 20.0f, |
| 4468 | 21.0f, 22.0f, |
| 4469 | |
| 4470 | 21.0f, 22.0f, |
| 4471 | 23.0f, 24.0f, |
| 4472 | 25.0f, 26.0f, |
| 4473 | 27.0f, 28.0f, |
| 4474 | 29.0f, 30.0f, |
| 4475 | 31.0f, 32.0f |
| 4476 | })); |
| 4477 | |
| 4478 | return result; |
| 4479 | } |
| 4480 | |
| 4481 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 4482 | armnn::IWorkloadFactory& workloadFactory, |
| 4483 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4484 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4485 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 4486 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4487 | } |
| 4488 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4489 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4490 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 4491 | armnn::IWorkloadFactory& workloadFactory, |
| 4492 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4493 | float qScale, |
| 4494 | int32_t qOffset) |
| 4495 | { |
| 4496 | unsigned int dimension = 1; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4497 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4498 | |
| 4499 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4500 | 1.0f, 2.0f, |
| 4501 | 3.0f, 4.0f, |
| 4502 | 5.0f, 6.0f, |
| 4503 | 7.0f, 8.0f, |
| 4504 | 9.0f, 10.0f, |
| 4505 | 11.0f, 12.0f |
| 4506 | })); |
| 4507 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4508 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4509 | |
| 4510 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4511 | 11.0f, 12.0f, |
| 4512 | 13.0f, 14.0f, |
| 4513 | 15.0f, 16.0f, |
| 4514 | 17.0f, 18.0f, |
| 4515 | |
| 4516 | })); |
| 4517 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4518 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4519 | |
| 4520 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4521 | |
| 4522 | std::vector<T> output; |
| 4523 | output.resize(outputTensorInfo.GetNumElements()); |
| 4524 | Concatenate<T>(workloadFactory, |
| 4525 | memoryManager, |
| 4526 | {inputTensorInfo0, inputTensorInfo1}, |
| 4527 | {input0.data(), input1.data()}, |
| 4528 | outputTensorInfo, |
| 4529 | output.data(), |
| 4530 | dimension, |
| 4531 | true); |
| 4532 | |
| 4533 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4534 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4535 | 1.0f, 2.0f, |
| 4536 | 3.0f, 4.0f, |
| 4537 | 5.0f, 6.0f, |
| 4538 | 7.0f, 8.0f, |
| 4539 | 9.0f, 10.0f, |
| 4540 | 11.0f, 12.0f, |
| 4541 | 11.0f, 12.0f, |
| 4542 | 13.0f, 14.0f, |
| 4543 | 15.0f, 16.0f, |
| 4544 | 17.0f, 18.0f |
| 4545 | })); |
| 4546 | |
| 4547 | return result; |
| 4548 | } |
| 4549 | |
| 4550 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 4551 | armnn::IWorkloadFactory& workloadFactory, |
| 4552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4553 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4554 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 4555 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4556 | } |
| 4557 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4558 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4559 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 4560 | armnn::IWorkloadFactory& workloadFactory, |
| 4561 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4562 | float qScale, |
| 4563 | int32_t qOffset) |
| 4564 | { |
| 4565 | unsigned int dimension = 2; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4566 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4567 | |
| 4568 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4569 | 1.0f, 2.0f, |
| 4570 | 3.0f, 4.0f, |
| 4571 | 5.0f, 6.0f, |
| 4572 | 7.0f, 8.0f, |
| 4573 | 9.0f, 10.0f, |
| 4574 | 11.0f, 12.0f |
| 4575 | })); |
| 4576 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4577 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4578 | |
| 4579 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4580 | 11.0f, 12.0f, |
| 4581 | 13.0f, 14.0f, |
| 4582 | 15.0f, 16.0f, |
| 4583 | 17.0f, 18.0f, |
| 4584 | 19.0f, 20.0f, |
| 4585 | 21.0f, 22.0f, |
| 4586 | 23.0f, 24.0f, |
| 4587 | 25.0f, 26.0f, |
| 4588 | 27.0f, 28.0f |
| 4589 | })); |
| 4590 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4591 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4592 | |
| 4593 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4594 | |
| 4595 | std::vector<T> output; |
| 4596 | output.resize(outputTensorInfo.GetNumElements()); |
| 4597 | Concatenate<T>(workloadFactory, |
| 4598 | memoryManager, |
| 4599 | {inputTensorInfo0, inputTensorInfo1}, |
| 4600 | {input0.data(), input1.data()}, |
| 4601 | outputTensorInfo, |
| 4602 | output.data(), |
| 4603 | dimension, |
| 4604 | true); |
| 4605 | |
| 4606 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4607 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4608 | 1.0f, 2.0f, |
| 4609 | 3.0f, 4.0f, |
| 4610 | 11.0f, 12.0f, |
| 4611 | 13.0f, 14.0f, |
| 4612 | 15.0f, 16.0f, |
| 4613 | |
| 4614 | 5.0f, 6.0f, |
| 4615 | 7.0f, 8.0f, |
| 4616 | 17.0f, 18.0f, |
| 4617 | 19.0f, 20.0f, |
| 4618 | 21.0f, 22.0f, |
| 4619 | |
| 4620 | 9.0f, 10.0f, |
| 4621 | 11.0f, 12.0f, |
| 4622 | 23.0f, 24.0f, |
| 4623 | 25.0f, 26.0f, |
| 4624 | 27.0f, 28.0f |
| 4625 | })); |
| 4626 | |
| 4627 | return result; |
| 4628 | } |
| 4629 | |
| 4630 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 4631 | armnn::IWorkloadFactory& workloadFactory, |
| 4632 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4633 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4634 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 4635 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4636 | } |
| 4637 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4638 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4639 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 4640 | armnn::IWorkloadFactory& workloadFactory, |
| 4641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4642 | float qScale, |
| 4643 | int32_t qOffset, |
| 4644 | bool useSubtensor) |
| 4645 | { |
| 4646 | unsigned int dimension = 3; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4647 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4648 | |
| 4649 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4650 | 1.0f, 2.0f, |
| 4651 | 3.0f, 4.0f, |
| 4652 | 5.0f, 6.0f, |
| 4653 | 7.0f, 8.0f, |
| 4654 | 9.0f, 10.0f, |
| 4655 | 11.0f, 12.0f |
| 4656 | })); |
| 4657 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4658 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4659 | |
| 4660 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4661 | 11.0f, 12.0f, 13.0f, |
| 4662 | 14.0f, 15.0f, 16.0f, |
| 4663 | |
| 4664 | 17.0f, 18.0f, 19.0f, |
| 4665 | 20.0f, 21.0f, 22.0f, |
| 4666 | |
| 4667 | 23.0f, 24.0f, 25.0f, |
| 4668 | 26.0f, 27.0f, 28.0f |
| 4669 | })); |
| 4670 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4671 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4672 | |
| 4673 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4674 | |
| 4675 | std::vector<T> output; |
| 4676 | output.resize(outputTensorInfo.GetNumElements()); |
| 4677 | Concatenate<T>(workloadFactory, |
| 4678 | memoryManager, |
| 4679 | {inputTensorInfo0, inputTensorInfo1}, |
| 4680 | {input0.data(), input1.data()}, |
| 4681 | outputTensorInfo, |
| 4682 | output.data(), |
| 4683 | dimension, |
| 4684 | useSubtensor); |
| 4685 | |
| 4686 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4687 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4688 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 4689 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 4690 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 4691 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 4692 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 4693 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 4694 | })); |
| 4695 | |
| 4696 | return result; |
| 4697 | } |
| 4698 | |
| 4699 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 4700 | armnn::IWorkloadFactory& workloadFactory, |
| 4701 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4702 | bool useSubtensor) |
| 4703 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4704 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 4705 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4706 | } |
| 4707 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4708 | LayerTestResult<float, 4> ResizeBilinearNopTest( |
| 4709 | armnn::IWorkloadFactory& workloadFactory, |
| 4710 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4711 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4712 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4713 | const armnn::TensorInfo inputTensorInfo = |
| 4714 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 4715 | |
| 4716 | const armnn::TensorInfo outputTensorInfo = |
| 4717 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4718 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4719 | std::vector<float> inputData({ |
| 4720 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 4721 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 4722 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 4723 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 4724 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4725 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 4726 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 4727 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 4728 | 4.0f, 5.0f, 6.0f, 7.0f |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4729 | }); |
| 4730 | |
| 4731 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4732 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4733 | { |
| 4734 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4735 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4736 | inputData = tmp; |
| 4737 | } |
| 4738 | |
| 4739 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4740 | |
| 4741 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 4742 | result.outputExpected = input; |
| 4743 | |
| 4744 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4745 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4746 | |
| 4747 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4748 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
| 4749 | armnn::WorkloadInfo info; |
| 4750 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 4751 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 4752 | |
| 4753 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 4754 | |
| 4755 | inputHandle->Allocate(); |
| 4756 | outputHandle->Allocate(); |
| 4757 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 4758 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4759 | workload->Execute(); |
| 4760 | |
| 4761 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 4762 | return result; |
| 4763 | } |
| 4764 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4765 | LayerTestResult<float, 4> SimpleResizeBilinearTest( |
| 4766 | armnn::IWorkloadFactory& workloadFactory, |
| 4767 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4768 | const armnn::DataLayout dataLayout) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4769 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4770 | const armnn::TensorInfo inputTensorInfo = |
| 4771 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
| 4772 | |
| 4773 | const armnn::TensorInfo outputTensorInfo = |
| 4774 | armnnUtils::GetTensorInfo(1, 2, 1, 1, dataLayout, armnn::DataType::Float32); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4775 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4776 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4777 | 1.0f, 255.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4778 | 200.0f, 250.0f, |
| 4779 | |
| 4780 | 250.0f, 200.0f, |
| 4781 | 250.0f, 1.0f |
| 4782 | }); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4783 | |
| 4784 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 4785 | // then figures out the interpolants and weights. Note this is different to projecting the centre of the |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4786 | // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as |
| 4787 | // its single element, the value that was at position (0,0) of the input matrix (rather than an average, |
| 4788 | // which we would expect if projecting the centre). |
| 4789 | |
| 4790 | std::vector<float> outputData({ |
| 4791 | 1.0f, |
| 4792 | |
| 4793 | 250.0f |
| 4794 | }); |
| 4795 | |
| 4796 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4797 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4798 | { |
| 4799 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4800 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4801 | inputData = tmp; |
| 4802 | |
| 4803 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4804 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4805 | outputData = tmp1; |
| 4806 | } |
| 4807 | |
| 4808 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 4809 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4810 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4811 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4812 | |
| 4813 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4814 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4815 | |
| 4816 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 4817 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4818 | armnn::WorkloadInfo info; |
| 4819 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 4820 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 4821 | |
| 4822 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 4823 | |
| 4824 | inputHandle->Allocate(); |
| 4825 | outputHandle->Allocate(); |
| 4826 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 4827 | |
| 4828 | workload->Execute(); |
| 4829 | |
| 4830 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 4831 | return result; |
| 4832 | } |
| 4833 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4834 | LayerTestResult<float, 4> ResizeBilinearSqMinTest( |
| 4835 | armnn::IWorkloadFactory& workloadFactory, |
| 4836 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4837 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4838 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4839 | const armnn::TensorInfo inputTensorInfo = |
| 4840 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 4841 | |
| 4842 | const armnn::TensorInfo outputTensorInfo = |
| 4843 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4844 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4845 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4846 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 4847 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 4848 | 3.0f, 4.0f, 5.0f, 6.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4849 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 4850 | |
| 4851 | 7.0f, 6.0f, 5.0f, 4.0f, |
| 4852 | 6.0f, 5.0f, 4.0f, 3.0f, |
| 4853 | 5.0f, 4.0f, 3.0f, 2.0f, |
| 4854 | 4.0f, 3.0f, 2.0f, 1.0f |
| 4855 | }); |
| 4856 | |
| 4857 | std::vector<float> outputData({ |
| 4858 | 1.0f, 3.0f, |
| 4859 | 3.0f, 5.0f, |
| 4860 | |
| 4861 | 7.0f, 5.0f, |
| 4862 | 5.0f, 3.0f |
| 4863 | }); |
| 4864 | |
| 4865 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4866 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4867 | { |
| 4868 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4869 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4870 | inputData = tmp; |
| 4871 | |
| 4872 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4873 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4874 | outputData = tmp1; |
| 4875 | } |
| 4876 | |
| 4877 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4878 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4879 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4880 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4881 | |
| 4882 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4883 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4884 | |
| 4885 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4886 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4887 | armnn::WorkloadInfo info; |
| 4888 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 4889 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 4890 | |
| 4891 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 4892 | |
| 4893 | inputHandle->Allocate(); |
| 4894 | outputHandle->Allocate(); |
| 4895 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 4896 | |
| 4897 | workload->Execute(); |
| 4898 | |
| 4899 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 4900 | return result; |
| 4901 | } |
| 4902 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4903 | LayerTestResult<float, 4> ResizeBilinearMinTest( |
| 4904 | armnn::IWorkloadFactory& workloadFactory, |
| 4905 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4906 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4907 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4908 | const armnn::TensorInfo inputTensorInfo = |
| 4909 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
| 4910 | |
| 4911 | const armnn::TensorInfo outputTensorInfo = |
| 4912 | armnnUtils::GetTensorInfo(1, 2, 2, 3, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4913 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4914 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4915 | 1.0f, 2.0f, 3.0f, 5.0f, 8.0f, |
| 4916 | 13.0f, 21.0f, 34.0f, 55.0f, 89.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4917 | 144.0f, 233.0f, 377.0f, 610.0f, 987.0f, |
| 4918 | |
| 4919 | 987.0f, 610.0f, 377.0f, 233.0f, 144.0f, |
| 4920 | 89.0f, 55.0f, 34.0f, 21.0f, 13.0f, |
| 4921 | 8.0f, 5.0f, 3.0f, 2.0f, 1.0f |
| 4922 | }); |
| 4923 | |
| 4924 | std::vector<float> outputData({ |
| 4925 | 1.0f, 2.6666f, 6.00f, |
| 4926 | 78.5f, 179.3333f, 401.00f, |
| 4927 | |
| 4928 | 987.0f, 454.6670f, 203.33f, |
| 4929 | 48.5f, 22.3333f, 10.00f |
| 4930 | }); |
| 4931 | |
| 4932 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4933 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4934 | { |
| 4935 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4936 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4937 | inputData = tmp; |
| 4938 | |
| 4939 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4940 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4941 | outputData = tmp1; |
| 4942 | } |
| 4943 | |
| 4944 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4945 | |
| 4946 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4947 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4948 | |
| 4949 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4950 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4951 | |
| 4952 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4953 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4954 | armnn::WorkloadInfo info; |
| 4955 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 4956 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 4957 | |
| 4958 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 4959 | |
| 4960 | inputHandle->Allocate(); |
| 4961 | outputHandle->Allocate(); |
| 4962 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 4963 | |
| 4964 | workload->Execute(); |
| 4965 | |
| 4966 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 4967 | return result; |
| 4968 | } |
| 4969 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4970 | LayerTestResult<float, 4> ResizeBilinearMagTest( |
| 4971 | armnn::IWorkloadFactory& workloadFactory, |
| 4972 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4973 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4974 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4975 | const armnn::TensorInfo inputTensorInfo = |
| 4976 | armnnUtils::GetTensorInfo(1, 2, 3, 2, dataLayout, armnn::DataType::Float32); |
| 4977 | |
| 4978 | const armnn::TensorInfo outputTensorInfo = |
| 4979 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4980 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4981 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4982 | 1.0f, 2.0f, |
| 4983 | 13.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4984 | 144.0f, 233.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4985 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4986 | 233.0f, 144.0f, |
| 4987 | 21.0f, 13.0f, |
| 4988 | 2.0f, 1.0f |
| 4989 | }); |
| 4990 | |
| 4991 | std::vector<float> outputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4992 | 1.0f, 1.4f, 1.8f, 2.0f, 2.0f, |
| 4993 | 13.0f, 16.2f, 19.4f, 21.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4994 | 144.0f, 179.6f, 215.2f, 233.0f, 233.0f, |
| 4995 | |
| 4996 | 233.0f, 197.4f, 161.8f, 144.0f, 144.0f, |
| 4997 | 21.0f, 17.8f, 14.6f, 13.0f, 13.0f, |
| 4998 | 2.0f, 1.6f, 1.2f, 1.0f, 1.0f |
| 4999 | }); |
| 5000 | |
| 5001 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5002 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5003 | { |
| 5004 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5005 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5006 | inputData = tmp; |
| 5007 | |
| 5008 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5009 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5010 | outputData = tmp1; |
| 5011 | } |
| 5012 | |
| 5013 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5014 | |
| 5015 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 5016 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5017 | |
| 5018 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5019 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5020 | |
| 5021 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5022 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5023 | armnn::WorkloadInfo info; |
| 5024 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5025 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5026 | |
| 5027 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5028 | |
| 5029 | inputHandle->Allocate(); |
| 5030 | outputHandle->Allocate(); |
| 5031 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5032 | |
| 5033 | workload->Execute(); |
| 5034 | |
| 5035 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5036 | return result; |
| 5037 | } |
| 5038 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5039 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 5040 | armnn::IWorkloadFactory& workloadFactory, |
| 5041 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5042 | { |
| 5043 | constexpr unsigned int width = 2; |
| 5044 | constexpr unsigned int height = 3; |
| 5045 | |
| 5046 | const armnn::TensorInfo tensorInfo({height, width }, |
| 5047 | armnn::DataType::Float32); |
| 5048 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5049 | -10.0f, -5.0f, |
| 5050 | 0.0f, 5.0f, |
| 5051 | 10.0f, 10.0f |
| 5052 | })); |
| 5053 | |
| 5054 | LayerTestResult<float, 2> ret(tensorInfo); |
| 5055 | |
| 5056 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5057 | |
| 5058 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5059 | |
| 5060 | armnn::FakeQuantizationQueueDescriptor data; |
| 5061 | armnn::WorkloadInfo info; |
| 5062 | |
| 5063 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 5064 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 5065 | float min = -10.f; |
| 5066 | float max = 10.f; |
| 5067 | |
| 5068 | data.m_Parameters.m_Min = min; |
| 5069 | data.m_Parameters.m_Max = max; |
| 5070 | |
| 5071 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 5072 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 5073 | armnn::WorkloadInfo refInfo = info; |
| 5074 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 5075 | |
| 5076 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 5077 | |
| 5078 | inputHandle->Allocate(); |
| 5079 | outputHandle->Allocate(); |
| 5080 | |
| 5081 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 5082 | |
| 5083 | workload->Execute(); |
| 5084 | |
| 5085 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 5086 | |
| 5087 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5088 | 0.0f, 63.0f, |
| 5089 | 128.0f, 191.0f, |
| 5090 | 255.0f, 255.0f |
| 5091 | })); |
| 5092 | return ret; |
| 5093 | } |
| 5094 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5095 | namespace |
| 5096 | { |
| 5097 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5098 | LayerTestResult<float, 4> L2NormalizationTestImpl( |
| 5099 | armnn::IWorkloadFactory& workloadFactory, |
| 5100 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5101 | const armnn::TensorShape& inputOutputTensorShape, |
| 5102 | const std::vector<float>& inputValues, |
| 5103 | const std::vector<float>& expectedOutputValues, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5104 | const armnn::DataLayout layout) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5105 | { |
| 5106 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5107 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5108 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5109 | // at this point if we require it permute the input data |
| 5110 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 5111 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5112 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5113 | { |
| 5114 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5115 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5116 | inputData = tmp; |
| 5117 | } |
| 5118 | |
| 5119 | auto inputTensor = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5120 | |
| 5121 | LayerTestResult<float, 4> result(outputTensorInfo); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5122 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5123 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5124 | { |
| 5125 | std::vector<float> tmp(expectedOutputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5126 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, |
| 5127 | expectedOutputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5128 | expectedOutputData = tmp; |
| 5129 | } |
| 5130 | result.outputExpected = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5131 | |
| 5132 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5133 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5134 | |
| 5135 | armnn::L2NormalizationQueueDescriptor descriptor; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5136 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5137 | armnn::WorkloadInfo info; |
| 5138 | |
| 5139 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5140 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5141 | |
| 5142 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 5143 | |
| 5144 | inputHandle->Allocate(); |
| 5145 | outputHandle->Allocate(); |
| 5146 | |
| 5147 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5148 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5149 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5150 | |
| 5151 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5152 | |
| 5153 | return result; |
| 5154 | } |
| 5155 | |
| 5156 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 5157 | { |
| 5158 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 5159 | [](float acc, float element) { return acc + element * element; }); |
| 5160 | return 1.0f / sqrtf(reduction); |
| 5161 | } |
| 5162 | |
| 5163 | } // anonymous namespace |
| 5164 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5165 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5166 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 5167 | armnn::IWorkloadFactory& workloadFactory, |
| 5168 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5169 | float qScale, |
| 5170 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5171 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5172 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 5173 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5174 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5175 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5176 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5177 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5178 | std::vector<T> inputValues( |
| 5179 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5180 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5181 | // Height (3) x Width (3) |
| 5182 | 4, 8, 6, |
| 5183 | 7, 4, 4, |
| 5184 | 3, 2, 4 |
| 5185 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5186 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5187 | std::vector<T> expectedOutputValues( |
| 5188 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5189 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5190 | 0, 0, 0, 0, 0, 0, 0, |
| 5191 | 0, 0, 0, 0, 0, 0, 0, |
| 5192 | 0, 0, 4, 8, 6, 0, 0, |
| 5193 | 0, 0, 7, 4, 4, 0, 0, |
| 5194 | 0, 0, 3, 2, 4, 0, 0, |
| 5195 | 0, 0, 0, 0, 0, 0, 0, |
| 5196 | 0, 0, 0, 0, 0, 0, 0 |
| 5197 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5198 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5199 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5200 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5201 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5202 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5203 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5204 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5205 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5206 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5207 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5208 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5209 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5210 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5211 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5212 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5213 | descriptor.m_Parameters.m_PadList = PadList; |
| 5214 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5215 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5216 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5217 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5218 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5219 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5220 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5221 | inputHandle->Allocate(); |
| 5222 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5223 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5224 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5225 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5226 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5227 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5228 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5229 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5230 | return result; |
| 5231 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5232 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5233 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5234 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 5235 | armnn::IWorkloadFactory& workloadFactory, |
| 5236 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5237 | float qScale, |
| 5238 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5239 | { |
| 5240 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 5241 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 5242 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5243 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5244 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5245 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5246 | std::vector<T> inputValues( |
| 5247 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5248 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5249 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5250 | 0, 4, |
| 5251 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5252 | |
| 5253 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5254 | 6, 1, |
| 5255 | 5, 2 |
| 5256 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5257 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5258 | std::vector<T> expectedOutputValues( |
| 5259 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5260 | { |
| 5261 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5262 | 0, 0, 0, 0, 0, 0, |
| 5263 | 0, 0, 0, 0, 0, 0, |
| 5264 | 0, 0, 0, 4, 0, 0, |
| 5265 | 0, 0, 2, 5, 0, 0, |
| 5266 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5267 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5268 | 0, 0, 0, 0, 0, 0, |
| 5269 | 0, 0, 0, 0, 0, 0, |
| 5270 | 0, 0, 6, 1, 0, 0, |
| 5271 | 0, 0, 5, 2, 0, 0, |
| 5272 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5273 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5274 | 0, 0, 0, 0, 0, 0, |
| 5275 | 0, 0, 0, 0, 0, 0, |
| 5276 | 0, 0, 0, 0, 0, 0, |
| 5277 | 0, 0, 0, 0, 0, 0, |
| 5278 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5279 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5280 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5281 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5282 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5283 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5284 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5285 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5286 | |
| 5287 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5288 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5289 | |
| 5290 | armnn::PadQueueDescriptor descriptor; |
| 5291 | |
| 5292 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5293 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 5294 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5295 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5296 | |
| 5297 | descriptor.m_Parameters.m_PadList = PadList; |
| 5298 | armnn::WorkloadInfo info; |
| 5299 | |
| 5300 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5301 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5302 | |
| 5303 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5304 | |
| 5305 | inputHandle->Allocate(); |
| 5306 | outputHandle->Allocate(); |
| 5307 | |
| 5308 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 5309 | |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5310 | workload->Execute(); |
| 5311 | |
| 5312 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 5313 | |
| 5314 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5315 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5316 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5317 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5318 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 5319 | armnn::IWorkloadFactory& workloadFactory, |
| 5320 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5321 | float qScale, |
| 5322 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5323 | { |
| 5324 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 5325 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 5326 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5327 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5328 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5329 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5330 | std::vector<T> inputValues( |
| 5331 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5332 | { |
| 5333 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5334 | 0, 1, |
| 5335 | 2, 3, |
| 5336 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5337 | |
| 5338 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5339 | 6, 7, |
| 5340 | 8, 9, |
| 5341 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5342 | |
| 5343 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5344 | 12, 13, |
| 5345 | 14, 15, |
| 5346 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5347 | |
| 5348 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5349 | 18, 19, |
| 5350 | 20, 21, |
| 5351 | 22, 23 |
| 5352 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5353 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5354 | std::vector<T> expectedOutputValues( |
| 5355 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5356 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5357 | 0, 0, 0, 0, |
| 5358 | 0, 0, 0, 0, |
| 5359 | 0, 0, 0, 0, |
| 5360 | 0, 0, 0, 0, |
| 5361 | 0, 0, 0, 0, |
| 5362 | 0, 0, 0, 0, |
| 5363 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5364 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5365 | 0, 0, 0, 0, |
| 5366 | 0, 0, 0, 0, |
| 5367 | 0, 0, 0, 0, |
| 5368 | 0, 0, 0, 0, |
| 5369 | 0, 0, 0, 0, |
| 5370 | 0, 0, 0, 0, |
| 5371 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5372 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5373 | 0, 0, 0, 0, |
| 5374 | 0, 0, 0, 0, |
| 5375 | 0, 0, 0, 0, |
| 5376 | 0, 0, 0, 0, |
| 5377 | 0, 0, 0, 0, |
| 5378 | 0, 0, 0, 0, |
| 5379 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5380 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5381 | 0, 0, 0, 0, |
| 5382 | 0, 0, 0, 0, |
| 5383 | 0, 0, 0, 0, |
| 5384 | 0, 0, 0, 0, |
| 5385 | 0, 0, 0, 0, |
| 5386 | 0, 0, 0, 0, |
| 5387 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5388 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5389 | 0, 0, 0, 0, |
| 5390 | 0, 0, 0, 0, |
| 5391 | 0, 0, 0, 0, |
| 5392 | 0, 0, 0, 0, |
| 5393 | 0, 0, 0, 0, |
| 5394 | 0, 0, 0, 0, |
| 5395 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5396 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5397 | 0, 0, 0, 0, |
| 5398 | 0, 0, 0, 0, |
| 5399 | 0, 0, 0, 0, |
| 5400 | 0, 0, 0, 0, |
| 5401 | 0, 0, 0, 0, |
| 5402 | 0, 0, 0, 0, |
| 5403 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5404 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5405 | 0, 0, 0, 0, |
| 5406 | 0, 0, 0, 0, |
| 5407 | 0, 0, 0, 0, |
| 5408 | 0, 0, 0, 0, |
| 5409 | 0, 0, 0, 0, |
| 5410 | 0, 0, 0, 0, |
| 5411 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5412 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5413 | 0, 0, 0, 0, |
| 5414 | 0, 0, 0, 0, |
| 5415 | 0, 0, 0, 0, |
| 5416 | 0, 0, 1, 0, |
| 5417 | 0, 2, 3, 0, |
| 5418 | 0, 4, 5, 0, |
| 5419 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5420 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5421 | 0, 0, 0, 0, |
| 5422 | 0, 0, 0, 0, |
| 5423 | 0, 0, 0, 0, |
| 5424 | 0, 6, 7, 0, |
| 5425 | 0, 8, 9, 0, |
| 5426 | 0, 10, 11, 0, |
| 5427 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5428 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5429 | 0, 0, 0, 0, |
| 5430 | 0, 0, 0, 0, |
| 5431 | 0, 0, 0, 0, |
| 5432 | 0, 0, 0, 0, |
| 5433 | 0, 0, 0, 0, |
| 5434 | 0, 0, 0, 0, |
| 5435 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5436 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5437 | 0, 0, 0, 0, |
| 5438 | 0, 0, 0, 0, |
| 5439 | 0, 0, 0, 0, |
| 5440 | 0, 0, 0, 0, |
| 5441 | 0, 0, 0, 0, |
| 5442 | 0, 0, 0, 0, |
| 5443 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5444 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5445 | 0, 0, 0, 0, |
| 5446 | 0, 0, 0, 0, |
| 5447 | 0, 0, 0, 0, |
| 5448 | 0, 0, 0, 0, |
| 5449 | 0, 0, 0, 0, |
| 5450 | 0, 0, 0, 0, |
| 5451 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5452 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5453 | 0, 0, 0, 0, |
| 5454 | 0, 0, 0, 0, |
| 5455 | 0, 0, 0, 0, |
| 5456 | 0, 12, 13, 0, |
| 5457 | 0, 14, 15, 0, |
| 5458 | 0, 16, 17, 0, |
| 5459 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5460 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5461 | 0, 0, 0, 0, |
| 5462 | 0, 0, 0, 0, |
| 5463 | 0, 0, 0, 0, |
| 5464 | 0, 18, 19, 0, |
| 5465 | 0, 20, 21, 0, |
| 5466 | 0, 22, 23, 0, |
| 5467 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5468 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5469 | 0, 0, 0, 0, |
| 5470 | 0, 0, 0, 0, |
| 5471 | 0, 0, 0, 0, |
| 5472 | 0, 0, 0, 0, |
| 5473 | 0, 0, 0, 0, |
| 5474 | 0, 0, 0, 0, |
| 5475 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5476 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5477 | 0, 0, 0, 0, |
| 5478 | 0, 0, 0, 0, |
| 5479 | 0, 0, 0, 0, |
| 5480 | 0, 0, 0, 0, |
| 5481 | 0, 0, 0, 0, |
| 5482 | 0, 0, 0, 0, |
| 5483 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5484 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5485 | 0, 0, 0, 0, |
| 5486 | 0, 0, 0, 0, |
| 5487 | 0, 0, 0, 0, |
| 5488 | 0, 0, 0, 0, |
| 5489 | 0, 0, 0, 0, |
| 5490 | 0, 0, 0, 0, |
| 5491 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5492 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5493 | 0, 0, 0, 0, |
| 5494 | 0, 0, 0, 0, |
| 5495 | 0, 0, 0, 0, |
| 5496 | 0, 0, 0, 0, |
| 5497 | 0, 0, 0, 0, |
| 5498 | 0, 0, 0, 0, |
| 5499 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5500 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5501 | 0, 0, 0, 0, |
| 5502 | 0, 0, 0, 0, |
| 5503 | 0, 0, 0, 0, |
| 5504 | 0, 0, 0, 0, |
| 5505 | 0, 0, 0, 0, |
| 5506 | 0, 0, 0, 0, |
| 5507 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5508 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5509 | 0, 0, 0, 0, |
| 5510 | 0, 0, 0, 0, |
| 5511 | 0, 0, 0, 0, |
| 5512 | 0, 0, 0, 0, |
| 5513 | 0, 0, 0, 0, |
| 5514 | 0, 0, 0, 0, |
| 5515 | 0, 0, 0, 0 |
| 5516 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5517 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5518 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5519 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5520 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5521 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5522 | |
| 5523 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5524 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5525 | |
| 5526 | armnn::PadQueueDescriptor descriptor; |
| 5527 | |
| 5528 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5529 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5530 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5531 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 5532 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5533 | |
| 5534 | descriptor.m_Parameters.m_PadList = PadList; |
| 5535 | armnn::WorkloadInfo info; |
| 5536 | |
| 5537 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5538 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5539 | |
| 5540 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5541 | |
| 5542 | inputHandle->Allocate(); |
| 5543 | outputHandle->Allocate(); |
| 5544 | |
| 5545 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5546 | |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5547 | workload->Execute(); |
| 5548 | |
| 5549 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5550 | |
| 5551 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5552 | } |
| 5553 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5554 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 5555 | armnn::IWorkloadFactory& workloadFactory, |
| 5556 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5557 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5558 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5559 | } |
| 5560 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5561 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 5562 | armnn::IWorkloadFactory& workloadFactory, |
| 5563 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5564 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5565 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5566 | } |
| 5567 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5568 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 5569 | armnn::IWorkloadFactory& workloadFactory, |
| 5570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5571 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5572 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5573 | } |
| 5574 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5575 | LayerTestResult<float, 2> PadFloat322dTest( |
| 5576 | armnn::IWorkloadFactory& workloadFactory, |
| 5577 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5578 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5579 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5580 | } |
| 5581 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5582 | LayerTestResult<float, 3> PadFloat323dTest( |
| 5583 | armnn::IWorkloadFactory& workloadFactory, |
| 5584 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5585 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5586 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5587 | } |
| 5588 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5589 | LayerTestResult<float, 4> PadFloat324dTest( |
| 5590 | armnn::IWorkloadFactory& workloadFactory, |
| 5591 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5592 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5593 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5594 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5595 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5596 | LayerTestResult<float, 4> L2Normalization1dTest( |
| 5597 | armnn::IWorkloadFactory& workloadFactory, |
| 5598 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5599 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5600 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5601 | // Width: 1 |
| 5602 | // Height: 1 |
| 5603 | // Channels: 10 |
| 5604 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5605 | unsigned int numberOfBatches = 1; |
| 5606 | unsigned int numberOfChannels = 10; |
| 5607 | unsigned int height = 1; |
| 5608 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5609 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5610 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5611 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5612 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5613 | std::vector<float> inputValues |
| 5614 | { |
| 5615 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 5616 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5617 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5618 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 5619 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5620 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5621 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 5622 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5623 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5624 | // Batch 0, Channel 3, Height (1) x Width (1) |
| 5625 | 4.0f, |
| 5626 | |
| 5627 | // Batch 0, Channel 4, Height (1) x Width (1) |
| 5628 | 5.0f, |
| 5629 | |
| 5630 | // Batch 0, Channel 5, Height (1) x Width (1) |
| 5631 | 6.0f, |
| 5632 | |
| 5633 | // Batch 0, Channel 6, Height (1) x Width (1) |
| 5634 | 7.0f, |
| 5635 | |
| 5636 | // Batch 0, Channel 7, Height (1) x Width (1) |
| 5637 | 8.0f, |
| 5638 | |
| 5639 | // Batch 0, Channel 8, Height (1) x Width (1) |
| 5640 | 9.0f, |
| 5641 | |
| 5642 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 5643 | 10.0f |
| 5644 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5645 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5646 | std::vector<float> expectedOutputValues |
| 5647 | { |
| 5648 | // Batch 0, Channel 0, Height (1) x Width (1) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5649 | 1.0f * approxInvL2Norm, |
| 5650 | 2.0f * approxInvL2Norm, |
| 5651 | 3.0f * approxInvL2Norm, |
| 5652 | 4.0f * approxInvL2Norm, |
| 5653 | 5.0f * approxInvL2Norm, |
| 5654 | 6.0f * approxInvL2Norm, |
| 5655 | 7.0f * approxInvL2Norm, |
| 5656 | 8.0f * approxInvL2Norm, |
| 5657 | 9.0f * approxInvL2Norm, |
| 5658 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5659 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5660 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5661 | |
| 5662 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5663 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5664 | } |
| 5665 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5666 | LayerTestResult<float, 4> L2Normalization2dTest( |
| 5667 | armnn::IWorkloadFactory& workloadFactory, |
| 5668 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5669 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5670 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5671 | // Width: 5 |
| 5672 | // Height: 1 |
| 5673 | // Channels: 2 |
| 5674 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5675 | unsigned int numberOfBatches = 1; |
| 5676 | unsigned int numberOfChannels = 2; |
| 5677 | unsigned int height = 1; |
| 5678 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5679 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5680 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5681 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5682 | std::vector<float> inputValues |
| 5683 | { |
| 5684 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5685 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5686 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5687 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 5688 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 5689 | }; |
| 5690 | std::vector<float> expectedOutputValues |
| 5691 | { |
| 5692 | // Batch 0, Channel 0, Height (1) x Width (5) |
| 5693 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 5694 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 5695 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 5696 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5697 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
| 5698 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5699 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 5700 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 5701 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 5702 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 5703 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5704 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5705 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5706 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5707 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5708 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5709 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5710 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5711 | LayerTestResult<float, 4> L2Normalization3dTest( |
| 5712 | armnn::IWorkloadFactory& workloadFactory, |
| 5713 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5714 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5715 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5716 | // Width: 3 |
| 5717 | // Height: 4 |
| 5718 | // Channels: 2 |
| 5719 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5720 | unsigned int numberOfBatches = 1; |
| 5721 | unsigned int numberOfChannels = 2; |
| 5722 | unsigned int height = 4; |
| 5723 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5724 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5725 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5726 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5727 | std::vector<float> inputValues |
| 5728 | { |
| 5729 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5730 | 119.0f, 21.0f, 150.0f, |
| 5731 | 149.0f, 32.0f, 179.0f, |
| 5732 | 15.0f, 227.0f, 141.0f, |
| 5733 | 147.0f, 199.0f, 220.0f, |
| 5734 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5735 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5736 | 110.0f, 140.0f, 73.0f, |
| 5737 | 211.0f, 212.0f, 89.0f, |
| 5738 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5739 | 162.0f, 12.0f, 161.0f |
| 5740 | }; |
| 5741 | std::vector<float> expectedOutputValues |
| 5742 | { |
| 5743 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5744 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 5745 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 5746 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 5747 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 5748 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 5749 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 5750 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 5751 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 5752 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 5753 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 5754 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 5755 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 5756 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5757 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5758 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 5759 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 5760 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 5761 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 5762 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 5763 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 5764 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 5765 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 5766 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 5767 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 5768 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5769 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 5770 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5771 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5772 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5773 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5774 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5775 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5776 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 5777 | armnn::IWorkloadFactory& workloadFactory, |
| 5778 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5779 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5780 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5781 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5782 | // Height: 4 |
| 5783 | // Channels: 3 |
| 5784 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5785 | unsigned int numberOfBatches = 2; |
| 5786 | unsigned int numberOfChannels = 3; |
| 5787 | unsigned int height = 4; |
| 5788 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5789 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5790 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5791 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5792 | std::vector<float> inputValues |
| 5793 | { |
| 5794 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5795 | 235.0f, 46.0f, 178.0f, |
| 5796 | 100.0f, 123.0f, 19.0f, |
| 5797 | 172.0f, 74.0f, 250.0f, |
| 5798 | 6.0f, 195.0f, 80.0f, |
| 5799 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5800 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5801 | 113.0f, 95.0f, 202.0f, |
| 5802 | 77.0f, 114.0f, 71.0f, |
| 5803 | 122.0f, 246.0f, 166.0f, |
| 5804 | 82.0f, 28.0f, 37.0f, |
| 5805 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5806 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5807 | 56.0f, 170.0f, 162.0f, |
| 5808 | 194.0f, 89.0f, 254.0f, |
| 5809 | 12.0f, 209.0f, 200.0f, |
| 5810 | 1.0f, 64.0f, 54.0f, |
| 5811 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5812 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5813 | 67.0f, 90.0f, 49.0f, |
| 5814 | 7.0f, 163.0f, 18.0f, |
| 5815 | 25.0f, 117.0f, 103.0f, |
| 5816 | 247.0f, 59.0f, 189.0f, |
| 5817 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5818 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5819 | 239.0f, 104.0f, 199.0f, |
| 5820 | 17.0f, 124.0f, 153.0f, |
| 5821 | 222.0f, 217.0f, 75.0f, |
| 5822 | 32.0f, 126.0f, 21.0f, |
| 5823 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5824 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5825 | 97.0f, 145.0f, 215.0f, |
| 5826 | 115.0f, 116.0f, 238.0f, |
| 5827 | 226.0f, 16.0f, 132.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5828 | 92.0f, 125.0f, 88.0f |
| 5829 | }; |
| 5830 | std::vector<float> expectedOutputValues |
| 5831 | { |
| 5832 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5833 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 5834 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 5835 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 5836 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 5837 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 5838 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 5839 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 5840 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 5841 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 5842 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 5843 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 5844 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 5845 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5846 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5847 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 5848 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 5849 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 5850 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 5851 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 5852 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 5853 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 5854 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 5855 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 5856 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 5857 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 5858 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 5859 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5860 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5861 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 5862 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 5863 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 5864 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 5865 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 5866 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 5867 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 5868 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 5869 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 5870 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 5871 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 5872 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 5873 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5874 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5875 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 5876 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 5877 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 5878 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 5879 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 5880 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 5881 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 5882 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 5883 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 5884 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 5885 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 5886 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 5887 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5888 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5889 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 5890 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 5891 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 5892 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 5893 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 5894 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 5895 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 5896 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 5897 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 5898 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 5899 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 5900 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 5901 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5902 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5903 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 5904 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 5905 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 5906 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 5907 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 5908 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 5909 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 5910 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 5911 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 5912 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 5913 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5914 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
| 5915 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5916 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5917 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5918 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5919 | } |
| 5920 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5921 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5922 | LayerTestResult<T, 4> ConstantTestImpl( |
| 5923 | armnn::IWorkloadFactory& workloadFactory, |
| 5924 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5925 | float qScale, |
| 5926 | int32_t qOffset) |
| 5927 | { |
| 5928 | constexpr unsigned int inputWidth = 3; |
| 5929 | constexpr unsigned int inputHeight = 4; |
| 5930 | constexpr unsigned int inputChannels = 3; |
| 5931 | constexpr unsigned int inputBatchSize = 2; |
| 5932 | |
| 5933 | constexpr unsigned int outputWidth = inputWidth; |
| 5934 | constexpr unsigned int outputHeight = inputHeight; |
| 5935 | constexpr unsigned int outputChannels = inputChannels; |
| 5936 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 5937 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5938 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5939 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5940 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5941 | |
| 5942 | // Set quantization parameters if the requested type is a quantized type. |
| 5943 | if(armnn::IsQuantizedType<T>()) |
| 5944 | { |
| 5945 | inputTensorInfo.SetQuantizationScale(qScale); |
| 5946 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 5947 | outputTensorInfo.SetQuantizationScale(qScale); |
| 5948 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 5949 | } |
| 5950 | |
| 5951 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 5952 | QuantizedVector<T>(qScale, qOffset, { |
| 5953 | // Batch 0, Channel 0 |
| 5954 | 235.0f, 46.0f, 178.0f, |
| 5955 | 100.0f, 123.0f, 19.0f, |
| 5956 | 172.0f, 74.0f, 250.0f, |
| 5957 | 6.0f, 195.0f, 80.0f, |
| 5958 | |
| 5959 | // Batch 0, Channel 1 |
| 5960 | 113.0f, 95.0f, 202.0f, |
| 5961 | 77.0f, 114.0f, 71.0f, |
| 5962 | 122.0f, 246.0f, 166.0f, |
| 5963 | 82.0f, 28.0f, 37.0f, |
| 5964 | |
| 5965 | // Batch 0, Channel 2 |
| 5966 | 56.0f, 170.0f, 162.0f, |
| 5967 | 194.0f, 89.0f, 254.0f, |
| 5968 | 12.0f, 209.0f, 200.0f, |
| 5969 | 1.0f, 64.0f, 54.0f, |
| 5970 | |
| 5971 | // Batch 1, Channel 0 |
| 5972 | 67.0f, 90.0f, 49.0f, |
| 5973 | 7.0f, 163.0f, 18.0f, |
| 5974 | 25.0f, 117.0f, 103.0f, |
| 5975 | 247.0f, 59.0f, 189.0f, |
| 5976 | |
| 5977 | // Batch 1, Channel 1 |
| 5978 | 239.0f, 104.0f, 199.0f, |
| 5979 | 17.0f, 124.0f, 153.0f, |
| 5980 | 222.0f, 217.0f, 75.0f, |
| 5981 | 32.0f, 126.0f, 21.0f, |
| 5982 | |
| 5983 | // Batch 1, Channel 2 |
| 5984 | 97.0f, 145.0f, 215.0f, |
| 5985 | 115.0f, 116.0f, 238.0f, |
| 5986 | 226.0f, 16.0f, 132.0f, |
| 5987 | 92.0f, 125.0f, 88.0f, |
| 5988 | }))); |
| 5989 | |
| 5990 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5991 | result.outputExpected = input; |
| 5992 | |
| 5993 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5994 | |
| 5995 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 5996 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 5997 | |
| 5998 | armnn::ConstantQueueDescriptor descriptor; |
| 5999 | descriptor.m_LayerOutput = &constantTensor; |
| 6000 | |
| 6001 | armnn::WorkloadInfo info; |
| 6002 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6003 | |
| 6004 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 6005 | |
| 6006 | outputHandle->Allocate(); |
| 6007 | |
| 6008 | workload->Execute(); |
| 6009 | |
| 6010 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6011 | return result; |
| 6012 | } |
| 6013 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6014 | LayerTestResult<float, 4> ConstantTest( |
| 6015 | armnn::IWorkloadFactory& workloadFactory, |
| 6016 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6017 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6018 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6019 | } |
| 6020 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6021 | LayerTestResult<uint8_t, 4> ConstantTestUint8( |
| 6022 | armnn::IWorkloadFactory& workloadFactory, |
| 6023 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6024 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6025 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6026 | } |
| 6027 | |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6028 | LayerTestResult<uint8_t, 3> MergerUint8DifferentQParamsTest( |
| 6029 | armnn::IWorkloadFactory& workloadFactory, |
| 6030 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6031 | { |
| 6032 | unsigned int outputWidth = 3; |
| 6033 | unsigned int outputHeight = 6; |
| 6034 | unsigned int outputChannels = 3; |
| 6035 | |
| 6036 | unsigned int inputWidth1 = 3; |
| 6037 | unsigned int inputHeight1 = 6; |
| 6038 | unsigned int inputChannels1 = 2; |
| 6039 | |
| 6040 | unsigned int inputWidth2 = 3; |
| 6041 | unsigned int inputHeight2 = 6; |
| 6042 | unsigned int inputChannels2 = 1; |
| 6043 | |
| 6044 | // Defines the tensor descriptors. |
| 6045 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6046 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6047 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 6048 | |
| 6049 | // Quantized input1 tensor. Range [-3, 1] |
| 6050 | const float inputScale1 = 0.015686f; |
| 6051 | const int32_t inputOffset1 = 192; |
| 6052 | |
| 6053 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6054 | { |
| 6055 | 1, 2, 3, |
| 6056 | 4, 5, 6, |
| 6057 | 7, 8, 9, |
| 6058 | 10, 11, 12, |
| 6059 | 13, 14, 15, |
| 6060 | 16, 17, 18, |
| 6061 | |
| 6062 | 19, 20, 21, |
| 6063 | 22, 23, 24, |
| 6064 | 25, 26, 27, |
| 6065 | 28, 29, 30, |
| 6066 | 31, 32, 33, |
| 6067 | 34, 35, 36, |
| 6068 | }) |
| 6069 | ); |
| 6070 | |
| 6071 | // Quatized input2 tensor. Range [-1, 4] |
| 6072 | const float inputScale2 = 0.019608f; |
| 6073 | const int32_t inputOffset2 = 50; |
| 6074 | |
| 6075 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6076 | { |
| 6077 | 37, 38, 39, |
| 6078 | 40, 41, 42, |
| 6079 | 43, 44, 45, |
| 6080 | 46, 47, 48, |
| 6081 | 49, 50, 51, |
| 6082 | 52, 53, 54, |
| 6083 | }) |
| 6084 | ); |
| 6085 | |
| 6086 | // Output has the same quantization parameters than input1, |
| 6087 | // so that only the requantization of input2 is required |
| 6088 | const float outputScale = 0.015686f; |
| 6089 | const int32_t outputOffset = 192; |
| 6090 | |
| 6091 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6092 | |
| 6093 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 6094 | { |
| 6095 | 1, 2, 3, |
| 6096 | 4, 5, 6, |
| 6097 | 7, 8, 9, |
| 6098 | 10, 11, 12, |
| 6099 | 13, 14, 15, |
| 6100 | 16, 17, 18, |
| 6101 | |
| 6102 | 19, 20, 21, |
| 6103 | 22, 23, 24, |
| 6104 | 25, 26, 27, |
| 6105 | 28, 29, 30, |
| 6106 | 31, 32, 33, |
| 6107 | 34, 35, 36, |
| 6108 | |
| 6109 | 176, 177, 178, |
| 6110 | 179, 181, 182, |
| 6111 | 183, 184, 186, |
| 6112 | 187, 188, 189, |
| 6113 | 191, 192, 193, |
| 6114 | 195, 196, 197, |
| 6115 | }) |
| 6116 | ); |
| 6117 | |
| 6118 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 6119 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 6120 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 6121 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 6122 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 6123 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 6124 | |
| 6125 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
| 6126 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6127 | |
| 6128 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
| 6129 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6130 | |
| 6131 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6132 | |
| 6133 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6134 | |
| 6135 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6136 | subTensorsSupported ? |
| 6137 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6138 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6139 | |
| 6140 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6141 | subTensorsSupported ? |
| 6142 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6143 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6144 | |
| 6145 | armnn::MergerQueueDescriptor data; |
| 6146 | armnn::WorkloadInfo info; |
| 6147 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6148 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6149 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6150 | |
| 6151 | data.m_ViewOrigins.push_back(window1); |
| 6152 | data.m_ViewOrigins.push_back(window2); |
| 6153 | |
| 6154 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(data, info); |
| 6155 | |
| 6156 | inputHandle1->Allocate(); |
| 6157 | inputHandle2->Allocate(); |
| 6158 | outputHandle->Allocate(); |
| 6159 | |
| 6160 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6161 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6162 | |
| 6163 | workload->Execute(); |
| 6164 | |
| 6165 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6166 | |
| 6167 | return ret; |
| 6168 | } |
| 6169 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6170 | LayerTestResult<uint8_t, 3> MergerUint8Test( |
| 6171 | armnn::IWorkloadFactory& workloadFactory, |
| 6172 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6173 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6174 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6175 | unsigned int outputHeight = 6; |
| 6176 | unsigned int outputChannels = 3; |
| 6177 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6178 | unsigned int inputWidth1 = 3; |
| 6179 | unsigned int inputHeight1 = 6; |
| 6180 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6181 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6182 | unsigned int inputWidth2 = 3; |
| 6183 | unsigned int inputHeight2 = 6; |
| 6184 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6185 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6186 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6187 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6188 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6189 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6190 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6191 | // Arbitrary scale and offsets. They don't really matter as the merger operator doesn't dequantize/quantize them. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6192 | const float scale = 0.13497836f; |
| 6193 | const int32_t offset = -7; |
| 6194 | |
| 6195 | outputTensorInfo.SetQuantizationScale(scale); |
| 6196 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6197 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6198 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6199 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6200 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6201 | |
| 6202 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6203 | |
| 6204 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6205 | { |
| 6206 | 1, 2, 3, |
| 6207 | 4, 5, 6, |
| 6208 | 7, 8, 9, |
| 6209 | 10, 11, 12, |
| 6210 | 13, 14, 15, |
| 6211 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6212 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6213 | 19, 20, 21, |
| 6214 | 22, 23, 24, |
| 6215 | 25, 26, 27, |
| 6216 | 28, 29, 30, |
| 6217 | 31, 32, 33, |
| 6218 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6219 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6220 | 37, 38, 39, |
| 6221 | 40, 41, 42, |
| 6222 | 43, 44, 45, |
| 6223 | 46, 47, 48, |
| 6224 | 49, 50, 51, |
| 6225 | 52, 53, 54, |
| 6226 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6227 | ); |
| 6228 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6229 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6230 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6231 | 1, 2, 3, |
| 6232 | 4, 5, 6, |
| 6233 | 7, 8, 9, |
| 6234 | 10, 11, 12, |
| 6235 | 13, 14, 15, |
| 6236 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6237 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6238 | 19, 20, 21, |
| 6239 | 22, 23, 24, |
| 6240 | 25, 26, 27, |
| 6241 | 28, 29, 30, |
| 6242 | 31, 32, 33, |
| 6243 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6244 | }) |
| 6245 | ); |
| 6246 | |
| 6247 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6248 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6249 | 37, 38, 39, |
| 6250 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6251 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6252 | 46, 47, 48, |
| 6253 | 49, 50, 51, |
| 6254 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6255 | }) |
| 6256 | ); |
| 6257 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6258 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6259 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6260 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6261 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6262 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6263 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6264 | |
| 6265 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6266 | |
| 6267 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6268 | |
| 6269 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6270 | subTensorsSupported ? |
| 6271 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6272 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6273 | |
| 6274 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6275 | subTensorsSupported ? |
| 6276 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6277 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6278 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6279 | |
| 6280 | armnn::MergerQueueDescriptor data; |
| 6281 | armnn::WorkloadInfo info; |
| 6282 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6283 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6284 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6285 | |
| 6286 | data.m_ViewOrigins.push_back(window1); |
| 6287 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6288 | |
| 6289 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(data, info); |
| 6290 | |
| 6291 | inputHandle1->Allocate(); |
| 6292 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6293 | outputHandle->Allocate(); |
| 6294 | |
| 6295 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6296 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6297 | |
| 6298 | workload->Execute(); |
| 6299 | |
| 6300 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6301 | |
| 6302 | return ret; |
| 6303 | } |
| 6304 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6305 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 6306 | armnn::IWorkloadFactory& workloadFactory, |
| 6307 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6308 | { |
| 6309 | unsigned int batchSize = 1; |
| 6310 | unsigned int channels = 2; |
| 6311 | unsigned int height = 2; |
| 6312 | unsigned int width = 3; |
| 6313 | |
| 6314 | const float scale = 7.0f; |
| 6315 | const int32_t offset = 3; |
| 6316 | |
| 6317 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 6318 | armnn::TensorInfo outputTensorInfo; |
| 6319 | |
| 6320 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 6321 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::QuantisedAsymm8); |
| 6322 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6323 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6324 | |
| 6325 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::QuantisedAsymm8); |
| 6326 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6327 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 6328 | |
| 6329 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::QuantisedAsymm8); |
| 6330 | outputTensorInfo.SetQuantizationScale(scale); |
| 6331 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6332 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6333 | // See dequantized values to the right. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6334 | auto input1 = MakeTensor<uint8_t, 4>(inputTensorInfo1, std::vector<uint8_t>( |
| 6335 | { |
| 6336 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 6337 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 6338 | })); |
| 6339 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6340 | // See dequantized values to the right. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6341 | auto input2 = MakeTensor<uint8_t, 4>(inputTensorInfo1, std::vector<uint8_t>( |
| 6342 | { |
| 6343 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 6344 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 6345 | })); |
| 6346 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6347 | // See dequantized values to the right. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6348 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 6349 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>( |
| 6350 | { |
| 6351 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 6352 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 6353 | })); |
| 6354 | |
| 6355 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6356 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6357 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6358 | |
| 6359 | armnn::AdditionQueueDescriptor data; |
| 6360 | armnn::WorkloadInfo info; |
| 6361 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6362 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6363 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6364 | |
| 6365 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 6366 | |
| 6367 | inputHandle1->Allocate(); |
| 6368 | inputHandle2->Allocate(); |
| 6369 | outputHandle->Allocate(); |
| 6370 | |
| 6371 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 6372 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 6373 | |
| 6374 | workload->Execute(); |
| 6375 | |
| 6376 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6377 | |
| 6378 | return result; |
| 6379 | } |
| 6380 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6381 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6382 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6383 | LayerTestResult<uint8_t, 4> MultiplicationUint8TestHelper( |
| 6384 | armnn::IWorkloadFactory& workloadFactory, |
| 6385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6386 | const unsigned int shape0[4], |
| 6387 | const std::vector<uint8_t> & values0, |
| 6388 | float scale0, |
| 6389 | int32_t offset0, |
| 6390 | const unsigned int shape1[4], |
| 6391 | const std::vector<uint8_t> & values1, |
| 6392 | float scale1, |
| 6393 | int32_t offset1, |
| 6394 | const unsigned int outShape[4], |
| 6395 | const std::vector<uint8_t> & outValues, |
| 6396 | float outScale, |
| 6397 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6398 | { |
| 6399 | armnn::TensorInfo inputTensorInfo0(4, shape0, armnn::DataType::QuantisedAsymm8); |
| 6400 | armnn::TensorInfo inputTensorInfo1(4, shape1, armnn::DataType::QuantisedAsymm8); |
| 6401 | armnn::TensorInfo outputTensorInfo(4, outShape, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6402 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6403 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 6404 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6405 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6406 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 6407 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6408 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6409 | outputTensorInfo.SetQuantizationScale(outScale); |
| 6410 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6411 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6412 | auto input0 = MakeTensor<uint8_t, 4>(inputTensorInfo0, values0); |
| 6413 | auto input1 = MakeTensor<uint8_t, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6414 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6415 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6416 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6417 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6418 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6419 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6420 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6421 | |
| 6422 | armnn::MultiplicationQueueDescriptor data; |
| 6423 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6424 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 6425 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6426 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6427 | |
| 6428 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 6429 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6430 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6431 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6432 | outputHandle->Allocate(); |
| 6433 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6434 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6435 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6436 | |
| 6437 | workload->Execute(); |
| 6438 | |
| 6439 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6440 | |
| 6441 | return result; |
| 6442 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6443 | } // anonymous namespace |
| 6444 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6445 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 6446 | armnn::IWorkloadFactory& workloadFactory, |
| 6447 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6448 | { |
| 6449 | unsigned int batchSize = 1; |
| 6450 | unsigned int channels = 2; |
| 6451 | unsigned int height = 2; |
| 6452 | unsigned int width = 3; |
| 6453 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 6454 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6455 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6456 | std::vector<uint8_t> input0({ |
| 6457 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 6458 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 6459 | }); |
| 6460 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6461 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6462 | std::vector<uint8_t> input1({ |
| 6463 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 6464 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 6465 | }); |
| 6466 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6467 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6468 | std::vector<uint8_t> output( |
| 6469 | { |
| 6470 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 6471 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 6472 | }); |
| 6473 | |
| 6474 | return MultiplicationUint8TestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6475 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6476 | shape, |
| 6477 | input0, |
| 6478 | 4.0f, |
| 6479 | 1, |
| 6480 | shape, |
| 6481 | input1, |
| 6482 | 3.0f, |
| 6483 | -2, |
| 6484 | shape, |
| 6485 | output, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6486 | 1366.255f, // Scale/offset chosen to have output values out of range. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6487 | -5); |
| 6488 | } |
| 6489 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6490 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 6491 | armnn::IWorkloadFactory& workloadFactory, |
| 6492 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6493 | { |
| 6494 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6495 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 6496 | |
| 6497 | std::vector<uint8_t> input0({ |
| 6498 | 1, 2, 3, 4, 5, 6, |
| 6499 | 7, 8, 9, 10, 11, 12 |
| 6500 | }); |
| 6501 | |
| 6502 | std::vector<uint8_t> input1({2}); |
| 6503 | |
| 6504 | std::vector<uint8_t> output({ |
| 6505 | 2, 4, 6, 8, 10, 12, |
| 6506 | 14, 16, 18, 20, 22, 24 |
| 6507 | }); |
| 6508 | |
| 6509 | return MultiplicationUint8TestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6510 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6511 | shape0, |
| 6512 | input0, |
| 6513 | 1.0f, |
| 6514 | 0, |
| 6515 | shape1, |
| 6516 | input1, |
| 6517 | 1.0f, |
| 6518 | 0, |
| 6519 | shape0, |
| 6520 | output, |
| 6521 | 1.0f, |
| 6522 | 0); |
| 6523 | } |
| 6524 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6525 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 6526 | armnn::IWorkloadFactory& workloadFactory, |
| 6527 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6528 | { |
| 6529 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6530 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 6531 | |
| 6532 | std::vector<uint8_t> input0({ |
| 6533 | 1, 2, 3, 4, 5, 6, |
| 6534 | 7, 8, 9, 10, 11, 12 |
| 6535 | }); |
| 6536 | |
| 6537 | std::vector<uint8_t> input1({1, 2, 3}); |
| 6538 | |
| 6539 | std::vector<uint8_t> output({ |
| 6540 | 1, 4, 9, 4, 10, 18, |
| 6541 | 7, 16, 27, 10, 22, 36 |
| 6542 | }); |
| 6543 | |
| 6544 | return MultiplicationUint8TestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6545 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6546 | shape0, |
| 6547 | input0, |
| 6548 | 1.0f, |
| 6549 | 0, |
| 6550 | shape1, |
| 6551 | input1, |
| 6552 | 1.0f, |
| 6553 | 0, |
| 6554 | shape0, |
| 6555 | output, |
| 6556 | 1.0f, |
| 6557 | 0); |
| 6558 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6559 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6560 | namespace |
| 6561 | { |
| 6562 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6563 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 6564 | armnn::IWorkloadFactory& workloadFactory, |
| 6565 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6566 | const unsigned int shape0[4], |
| 6567 | const std::vector<T>& values0, |
| 6568 | float scale0, |
| 6569 | int32_t offset0, |
| 6570 | const unsigned int shape1[4], |
| 6571 | const std::vector<T> & values1, |
| 6572 | float scale1, |
| 6573 | int32_t offset1, |
| 6574 | const unsigned int outShape[4], |
| 6575 | const std::vector<T> & outValues, |
| 6576 | float outScale, |
| 6577 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6578 | { |
| 6579 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 6580 | armnn::DataType::QuantisedAsymm8 : |
| 6581 | armnn::DataType::Float32); |
| 6582 | |
| 6583 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 6584 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 6585 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
| 6586 | |
| 6587 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 6588 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 6589 | |
| 6590 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 6591 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 6592 | |
| 6593 | outputTensorInfo.SetQuantizationScale(outScale); |
| 6594 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 6595 | |
| 6596 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 6597 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 6598 | |
| 6599 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6600 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 6601 | |
| 6602 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 6603 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6604 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6605 | |
| 6606 | armnn::SubtractionQueueDescriptor data; |
| 6607 | armnn::WorkloadInfo info; |
| 6608 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 6609 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6610 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6611 | |
| 6612 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 6613 | |
| 6614 | inputHandle0->Allocate(); |
| 6615 | inputHandle1->Allocate(); |
| 6616 | outputHandle->Allocate(); |
| 6617 | |
| 6618 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 6619 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 6620 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6621 | workload->Execute(); |
| 6622 | |
| 6623 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6624 | |
| 6625 | return result; |
| 6626 | } |
| 6627 | } // anonymous namespace |
| 6628 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6629 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 6630 | armnn::IWorkloadFactory& workloadFactory, |
| 6631 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6632 | { |
| 6633 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 6634 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 6635 | |
| 6636 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 6637 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 6638 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 6639 | |
| 6640 | return SubtractionTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6641 | memoryManager, |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6642 | shape0, input0, 0.5f, 2, |
| 6643 | shape1, input1, 1.0f, 0, |
| 6644 | shape0, output, 1.0f, 0); |
| 6645 | } |
| 6646 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6647 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 6648 | armnn::IWorkloadFactory& workloadFactory, |
| 6649 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6650 | { |
| 6651 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 6652 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 6653 | |
| 6654 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 6655 | std::vector<uint8_t> input1({ 2 }); |
| 6656 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 6657 | |
| 6658 | return SubtractionTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6659 | memoryManager, |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6660 | shape0, input0, 0.5f, 2, |
| 6661 | shape1, input1, 1.0f, 0, |
| 6662 | shape0, output, 1.0f, 3); |
| 6663 | } |
| 6664 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6665 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 6666 | armnn::IWorkloadFactory& workloadFactory, |
| 6667 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6668 | { |
| 6669 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 6670 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 6671 | |
| 6672 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 6673 | std::vector<uint8_t> input1({ 2, 1 }); |
| 6674 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 6675 | |
| 6676 | return SubtractionTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6677 | memoryManager, |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6678 | shape0, input0, 1.0f, 0, |
| 6679 | shape1, input1, 1.0f, 0, |
| 6680 | shape0, output, 1.0f, 0); |
| 6681 | } |
| 6682 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6683 | LayerTestResult<float, 4> SubtractionTest( |
| 6684 | armnn::IWorkloadFactory& workloadFactory, |
| 6685 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6686 | { |
| 6687 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 6688 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 6689 | |
| 6690 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 6691 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 6692 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 6693 | |
| 6694 | return SubtractionTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6695 | memoryManager, |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6696 | shape0, input0, 1.0f, 0, |
| 6697 | shape1, input1, 1.0f, 0, |
| 6698 | shape0, output, 1.0f, 0); |
| 6699 | } |
| 6700 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6701 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 6702 | armnn::IWorkloadFactory& workloadFactory, |
| 6703 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6704 | { |
| 6705 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 6706 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 6707 | |
| 6708 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 6709 | std::vector<float> input1({ 10 }); |
| 6710 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 6711 | |
| 6712 | return SubtractionTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6713 | memoryManager, |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6714 | shape0, input0, 1.0f, 0, |
| 6715 | shape1, input1, 1.0f, 0, |
| 6716 | shape0, output, 1.0f, 0); |
| 6717 | } |
| 6718 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6719 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 6720 | armnn::IWorkloadFactory& workloadFactory, |
| 6721 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6722 | { |
| 6723 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 6724 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 6725 | |
| 6726 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 6727 | std::vector<float> input1({ 10, -5 }); |
| 6728 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 6729 | |
| 6730 | return SubtractionTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6731 | memoryManager, |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6732 | shape0, input0, 1.0f, 0, |
| 6733 | shape1, input1, 1.0f, 0, |
| 6734 | shape0, output, 1.0f, 0); |
| 6735 | } |
| 6736 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6737 | LayerTestResult<uint8_t, 4> ResizeBilinearNopUint8Test( |
| 6738 | armnn::IWorkloadFactory& workloadFactory, |
| 6739 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6740 | { |
| 6741 | constexpr unsigned int inputWidth = 4; |
| 6742 | constexpr unsigned int inputHeight = 4; |
| 6743 | constexpr unsigned int inputChannels = 1; |
| 6744 | constexpr unsigned int inputBatchSize = 1; |
| 6745 | |
| 6746 | constexpr unsigned int outputWidth = inputWidth; |
| 6747 | constexpr unsigned int outputHeight = inputHeight; |
| 6748 | constexpr unsigned int outputChannels = inputChannels; |
| 6749 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6750 | |
| 6751 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6752 | armnn::DataType::QuantisedAsymm8); |
| 6753 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 6754 | inputTensorInfo.SetQuantizationOffset(-3); |
| 6755 | |
| 6756 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6757 | armnn::DataType::QuantisedAsymm8); |
| 6758 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 6759 | outputTensorInfo.SetQuantizationOffset(-3); |
| 6760 | |
| 6761 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 6762 | 1, 2, 3, 4, |
| 6763 | 2, 3, 4, 5, |
| 6764 | 3, 4, 5, 6, |
| 6765 | 4, 5, 6, 7 |
| 6766 | })); |
| 6767 | |
| 6768 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 6769 | result.outputExpected = input; |
| 6770 | |
| 6771 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6772 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6773 | |
| 6774 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 6775 | armnn::WorkloadInfo info; |
| 6776 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6777 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6778 | |
| 6779 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 6780 | |
| 6781 | inputHandle->Allocate(); |
| 6782 | outputHandle->Allocate(); |
| 6783 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 6784 | |
| 6785 | workload->Execute(); |
| 6786 | |
| 6787 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6788 | return result; |
| 6789 | } |
| 6790 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6791 | LayerTestResult<uint8_t, 4> SimpleResizeBilinearUint8Test( |
| 6792 | armnn::IWorkloadFactory& workloadFactory, |
| 6793 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6794 | { |
| 6795 | constexpr unsigned int inputWidth = 2; |
| 6796 | constexpr unsigned int inputHeight = 2; |
| 6797 | constexpr unsigned int inputChannels = 1; |
| 6798 | constexpr unsigned int inputBatchSize = 1; |
| 6799 | |
| 6800 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 6801 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 6802 | constexpr unsigned int outputChannels = inputChannels; |
| 6803 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6804 | |
| 6805 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6806 | armnn::DataType::QuantisedAsymm8); |
| 6807 | inputTensorInfo.SetQuantizationScale(0.1567f); |
| 6808 | inputTensorInfo.SetQuantizationOffset(1); |
| 6809 | |
| 6810 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6811 | armnn::DataType::QuantisedAsymm8); |
| 6812 | outputTensorInfo.SetQuantizationScale(0.1567f); |
| 6813 | outputTensorInfo.SetQuantizationOffset(1); |
| 6814 | |
| 6815 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 6816 | 1, 255, |
| 6817 | 200, 250 |
| 6818 | })); |
| 6819 | |
| 6820 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 6821 | // then figures out the interpolants and weights. Note this is different to projecting the centre of the |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6822 | // output texel - and thus we'll expect the output 1x1 matrix to contain, as its single element, the value |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6823 | // that was at position (0,0) of the input matrix (rather than an average, which we would expect if projecting |
| 6824 | // the centre). |
| 6825 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 6826 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 6827 | 1 |
| 6828 | })); |
| 6829 | |
| 6830 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6831 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6832 | |
| 6833 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 6834 | armnn::WorkloadInfo info; |
| 6835 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6836 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6837 | |
| 6838 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 6839 | |
| 6840 | inputHandle->Allocate(); |
| 6841 | outputHandle->Allocate(); |
| 6842 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 6843 | |
| 6844 | workload->Execute(); |
| 6845 | |
| 6846 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6847 | return result; |
| 6848 | } |
| 6849 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6850 | LayerTestResult<uint8_t, 4> ResizeBilinearSqMinUint8Test( |
| 6851 | armnn::IWorkloadFactory& workloadFactory, |
| 6852 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6853 | { |
| 6854 | constexpr unsigned int inputWidth = 4; |
| 6855 | constexpr unsigned int inputHeight = 4; |
| 6856 | constexpr unsigned int inputChannels = 1; |
| 6857 | constexpr unsigned int inputBatchSize = 1; |
| 6858 | |
| 6859 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 6860 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 6861 | constexpr unsigned int outputChannels = inputChannels; |
| 6862 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6863 | |
| 6864 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6865 | armnn::DataType::QuantisedAsymm8); |
| 6866 | inputTensorInfo.SetQuantizationScale(3.141592f); |
| 6867 | inputTensorInfo.SetQuantizationOffset(3); |
| 6868 | |
| 6869 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6870 | armnn::DataType::QuantisedAsymm8); |
| 6871 | outputTensorInfo.SetQuantizationScale(3.141592f); |
| 6872 | outputTensorInfo.SetQuantizationOffset(3); |
| 6873 | |
| 6874 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 6875 | 1, 2, 3, 4, |
| 6876 | 2, 3, 4, 5, |
| 6877 | 3, 4, 5, 6, |
| 6878 | 4, 5, 6, 7 |
| 6879 | })); |
| 6880 | |
| 6881 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 6882 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 6883 | 1, 3, |
| 6884 | 3, 5 |
| 6885 | })); |
| 6886 | |
| 6887 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6888 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6889 | |
| 6890 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 6891 | armnn::WorkloadInfo info; |
| 6892 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6893 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6894 | |
| 6895 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 6896 | |
| 6897 | inputHandle->Allocate(); |
| 6898 | outputHandle->Allocate(); |
| 6899 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 6900 | |
| 6901 | workload->Execute(); |
| 6902 | |
| 6903 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6904 | return result; |
| 6905 | } |
| 6906 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6907 | LayerTestResult<uint8_t, 4> ResizeBilinearMinUint8Test( |
| 6908 | armnn::IWorkloadFactory& workloadFactory, |
| 6909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6910 | { |
| 6911 | constexpr unsigned int inputWidth = 3; |
| 6912 | constexpr unsigned int inputHeight = 2; |
| 6913 | constexpr unsigned int inputChannels = 1; |
| 6914 | constexpr unsigned int inputBatchSize = 1; |
| 6915 | |
| 6916 | constexpr unsigned int outputWidth = 2; |
| 6917 | constexpr unsigned int outputHeight = 1; |
| 6918 | constexpr unsigned int outputChannels = inputChannels; |
| 6919 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6920 | |
| 6921 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6922 | armnn::DataType::QuantisedAsymm8); |
| 6923 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 6924 | inputTensorInfo.SetQuantizationOffset(-1); |
| 6925 | |
| 6926 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6927 | armnn::DataType::QuantisedAsymm8); |
| 6928 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 6929 | outputTensorInfo.SetQuantizationOffset(-1); |
| 6930 | |
| 6931 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 6932 | 1, 2, 3, // 3.0, 4.5, 6.0 |
| 6933 | 5, 8, 13 // 9.0, 13.5, 21.0 |
| 6934 | })); |
| 6935 | |
| 6936 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 6937 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 6938 | 1, 3 // 3.0, 5.25 |
| 6939 | })); |
| 6940 | |
| 6941 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6942 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6943 | |
| 6944 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 6945 | armnn::WorkloadInfo info; |
| 6946 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6947 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6948 | |
| 6949 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 6950 | |
| 6951 | inputHandle->Allocate(); |
| 6952 | outputHandle->Allocate(); |
| 6953 | |
| 6954 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 6955 | |
| 6956 | workload->Execute(); |
| 6957 | |
| 6958 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6959 | return result; |
| 6960 | } |
| 6961 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6962 | LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test( |
| 6963 | armnn::IWorkloadFactory& workloadFactory, |
| 6964 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6965 | { |
| 6966 | constexpr unsigned int inputWidth = 2; |
| 6967 | constexpr unsigned int inputHeight = 3; |
| 6968 | constexpr unsigned int inputChannels = 1; |
| 6969 | constexpr unsigned int inputBatchSize = 1; |
| 6970 | |
| 6971 | constexpr unsigned int outputWidth = 5; |
| 6972 | constexpr unsigned int outputHeight = 3; |
| 6973 | constexpr unsigned int outputChannels = inputChannels; |
| 6974 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6975 | |
| 6976 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6977 | armnn::DataType::QuantisedAsymm8); |
| 6978 | inputTensorInfo.SetQuantizationScale(0.010765f); |
| 6979 | inputTensorInfo.SetQuantizationOffset(7); |
| 6980 | |
| 6981 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6982 | armnn::DataType::QuantisedAsymm8); |
| 6983 | outputTensorInfo.SetQuantizationScale(0.010132f); |
| 6984 | outputTensorInfo.SetQuantizationOffset(-18); |
| 6985 | |
| 6986 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 6987 | 24, 228, // 0.183005, 2.379065, |
| 6988 | 105, 128, // 1.05497, 1.302565 |
| 6989 | 230, 71 // 2.400595, 0.68896 |
| 6990 | })); |
| 6991 | |
| 6992 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 6993 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 6994 | 0, 87, 173, 217, 217, // 0.18300501, 1.06142902, 1.93985295, 2.37906504, 2.37906504 |
| 6995 | 86, 96, 106, 111, 111, // 1.05497003, 1.15400803, 1.25304604, 1.30256498, 1.30256498 |
| 6996 | 219, 151, 84, 50, 50 // 2.40059495, 1.71594095, 1.03128707, 0.68896002, 0.68896002 |
| 6997 | })); |
| 6998 | |
| 6999 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7000 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7001 | |
| 7002 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7003 | armnn::WorkloadInfo info; |
| 7004 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7005 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7006 | |
| 7007 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7008 | |
| 7009 | inputHandle->Allocate(); |
| 7010 | outputHandle->Allocate(); |
| 7011 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7012 | |
| 7013 | workload->Execute(); |
| 7014 | |
| 7015 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7016 | return result; |
| 7017 | } |
| 7018 | |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7019 | LayerTestResult<float, 2> Rsqrt2dTestCommon( |
| 7020 | armnn::IWorkloadFactory& workloadFactory, |
| 7021 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7022 | const armnn::TensorInfo inputTensorInfo, |
| 7023 | const armnn::TensorInfo outputTensorInfo, |
| 7024 | std::vector<float> inputValues, |
| 7025 | std::vector<float> expectedOutputValues) |
| 7026 | { |
| 7027 | auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7028 | |
| 7029 | LayerTestResult<float, 2> result(outputTensorInfo); |
| 7030 | result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, std::vector<float>(expectedOutputValues)); |
| 7031 | |
| 7032 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7033 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7034 | |
| 7035 | armnn::RsqrtQueueDescriptor descriptor; |
| 7036 | |
| 7037 | armnn::WorkloadInfo info; |
| 7038 | |
| 7039 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7040 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7041 | |
| 7042 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7043 | |
| 7044 | inputHandle->Allocate(); |
| 7045 | outputHandle->Allocate(); |
| 7046 | |
| 7047 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
| 7048 | |
| 7049 | workload->Execute(); |
| 7050 | |
| 7051 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
| 7052 | |
| 7053 | return result; |
| 7054 | } |
| 7055 | LayerTestResult<float, 2> Rsqrt2dTest( |
| 7056 | armnn::IWorkloadFactory& workloadFactory, |
| 7057 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7058 | { |
| 7059 | const armnn::TensorShape inputShape{ 2, 2 }; |
| 7060 | const armnn::TensorShape outputShape{ 2, 2 }; |
| 7061 | |
| 7062 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7063 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7064 | |
| 7065 | std::vector<float> inputValues |
| 7066 | { |
| 7067 | 1.f, 4.f, |
| 7068 | 16.f, 25.f |
| 7069 | }; |
| 7070 | |
| 7071 | std::vector<float> expectedOutputValues |
| 7072 | { |
| 7073 | 1.f, 0.5f, |
| 7074 | 0.25f, 0.2f |
| 7075 | }; |
| 7076 | |
| 7077 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7078 | inputTensorInfo, outputTensorInfo, |
| 7079 | inputValues, expectedOutputValues); |
| 7080 | } |
| 7081 | |
| 7082 | LayerTestResult<float, 3> Rsqrt3dTest( |
| 7083 | armnn::IWorkloadFactory& workloadFactory, |
| 7084 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7085 | { |
| 7086 | const armnn::TensorShape inputShape{ 3, 1, 2 }; |
| 7087 | const armnn::TensorShape outputShape{ 3, 1, 2 }; |
| 7088 | |
| 7089 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7090 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7091 | |
| 7092 | std::vector<float> inputValues |
| 7093 | { |
| 7094 | 1.f, 4.f, 16.f, |
| 7095 | 25.f, 64.f, 100.f |
| 7096 | }; |
| 7097 | |
| 7098 | std::vector<float> expectedOutputValues |
| 7099 | { |
| 7100 | 1.f, 0.5f, 0.25f, |
| 7101 | 0.2f, 0.125f, 0.1f |
| 7102 | }; |
| 7103 | |
| 7104 | auto inputTensor = MakeTensor<float, 3>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7105 | |
| 7106 | LayerTestResult<float, 3> result(outputTensorInfo); |
| 7107 | result.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float >(expectedOutputValues)); |
| 7108 | |
| 7109 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7110 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7111 | |
| 7112 | armnn::RsqrtQueueDescriptor descriptor; |
| 7113 | |
| 7114 | armnn::WorkloadInfo info; |
| 7115 | |
| 7116 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7117 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7118 | |
| 7119 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7120 | |
| 7121 | inputHandle->Allocate(); |
| 7122 | outputHandle->Allocate(); |
| 7123 | |
| 7124 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 7125 | |
| 7126 | workload->Execute(); |
| 7127 | |
| 7128 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 7129 | |
| 7130 | return result; |
| 7131 | } |
| 7132 | |
| 7133 | LayerTestResult<float, 2> RsqrtZeroTest( |
| 7134 | armnn::IWorkloadFactory& workloadFactory, |
| 7135 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7136 | { |
| 7137 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 7138 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 7139 | |
| 7140 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7141 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7142 | |
| 7143 | std::vector<float> inputValues |
| 7144 | { |
| 7145 | 0.f, -0.f |
| 7146 | }; |
| 7147 | |
| 7148 | std::vector<float> expectedOutputValues |
| 7149 | { |
| 7150 | INFINITY, -INFINITY |
| 7151 | }; |
| 7152 | |
| 7153 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7154 | inputTensorInfo, outputTensorInfo, |
| 7155 | inputValues, expectedOutputValues); |
| 7156 | } |
| 7157 | |
| 7158 | LayerTestResult<float, 2> RsqrtNegativeTest( |
| 7159 | armnn::IWorkloadFactory& workloadFactory, |
| 7160 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7161 | { |
| 7162 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 7163 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 7164 | |
| 7165 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7166 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7167 | |
| 7168 | std::vector<float> inputValues |
| 7169 | { |
| 7170 | -25.f, -16.f |
| 7171 | }; |
| 7172 | |
| 7173 | std::vector<float> expectedOutputValues |
| 7174 | { |
| 7175 | -NAN, -NAN |
| 7176 | }; |
| 7177 | |
| 7178 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7179 | inputTensorInfo, outputTensorInfo, |
| 7180 | inputValues, expectedOutputValues); |
| 7181 | } |
| 7182 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7183 | LayerTestResult<float, 4> BatchNormTest( |
| 7184 | armnn::IWorkloadFactory& workloadFactory, |
| 7185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7186 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7187 | // BatchSize: 1 |
| 7188 | // Channels: 2 |
| 7189 | // Height: 3 |
| 7190 | // Width: 2 |
| 7191 | |
| 7192 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7193 | std::vector<float> inputValues |
| 7194 | { |
| 7195 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7196 | 1.f, 4.f, |
| 7197 | 4.f, 2.f, |
| 7198 | 1.f, 6.f, |
| 7199 | |
| 7200 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7201 | 1.f, 1.f, |
| 7202 | 4.f, 1.f, |
| 7203 | -2.f, 4.f |
| 7204 | }; |
| 7205 | std::vector<float> expectedOutputValues |
| 7206 | { |
| 7207 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7208 | 1.f, 4.f, |
| 7209 | 4.f, 2.f, |
| 7210 | 1.f, 6.f, |
| 7211 | |
| 7212 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7213 | 3.f, 3.f, |
| 7214 | 4.f, 3.f, |
| 7215 | 2.f, 4.f |
| 7216 | }; |
| 7217 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7218 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 7219 | workloadFactory, memoryManager, |
| 7220 | inputOutputShape, inputValues, expectedOutputValues, |
| 7221 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7222 | } |
| 7223 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7224 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 7225 | armnn::IWorkloadFactory& workloadFactory, |
| 7226 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7227 | { |
| 7228 | // BatchSize: 1 |
| 7229 | // Height: 3 |
| 7230 | // Width: 2 |
| 7231 | // Channels: 2 |
| 7232 | |
| 7233 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7234 | std::vector<float> inputValues |
| 7235 | { |
| 7236 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7237 | 1.f, 1.f, |
| 7238 | 4.f, 1.f, |
| 7239 | |
| 7240 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7241 | 4.f, 4.f, |
| 7242 | 2.f, 1.f, |
| 7243 | |
| 7244 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7245 | 1.f, -2.f, |
| 7246 | 6.f, 4.f |
| 7247 | }; |
| 7248 | std::vector<float> expectedOutputValues |
| 7249 | { |
| 7250 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7251 | 1.f, 3.f, |
| 7252 | 4.f, 3.f, |
| 7253 | |
| 7254 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7255 | 4.f, 4.f, |
| 7256 | 2.f, 3.f, |
| 7257 | |
| 7258 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7259 | 1.f, 2.f, |
| 7260 | 6.f, 4.f |
| 7261 | }; |
| 7262 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7263 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 7264 | workloadFactory, memoryManager, |
| 7265 | inputOutputShape, inputValues, expectedOutputValues, |
| 7266 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7267 | } |
| 7268 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7269 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 7270 | armnn::IWorkloadFactory& workloadFactory, |
| 7271 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7272 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7273 | // BatchSize: 1 |
| 7274 | // Channels: 2 |
| 7275 | // Height: 3 |
| 7276 | // Width: 2 |
| 7277 | |
| 7278 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7279 | std::vector<float> inputValues |
| 7280 | { |
| 7281 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7282 | 1.f, 4.f, |
| 7283 | 4.f, 2.f, |
| 7284 | 1.f, 6.f, |
| 7285 | |
| 7286 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7287 | 1.f, 1.f, |
| 7288 | 4.f, 1.f, |
| 7289 | -2.f, 4.f |
| 7290 | }; |
| 7291 | std::vector<float> expectedOutputValues |
| 7292 | { |
| 7293 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7294 | 1.f, 4.f, |
| 7295 | 4.f, 2.f, |
| 7296 | 1.f, 6.f, |
| 7297 | |
| 7298 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7299 | 3.f, 3.f, |
| 7300 | 4.f, 3.f, |
| 7301 | 2.f, 4.f |
| 7302 | }; |
| 7303 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7304 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7305 | workloadFactory, memoryManager, |
| 7306 | inputOutputShape, inputValues, expectedOutputValues, |
| 7307 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7308 | } |
| 7309 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7310 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 7311 | armnn::IWorkloadFactory& workloadFactory, |
| 7312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7313 | { |
| 7314 | // BatchSize: 1 |
| 7315 | // Height: 3 |
| 7316 | // Width: 2 |
| 7317 | // Channels: 2 |
| 7318 | |
| 7319 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7320 | std::vector<float> inputValues |
| 7321 | { |
| 7322 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7323 | 1.f, 1.f, |
| 7324 | 4.f, 1.f, |
| 7325 | |
| 7326 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7327 | 4.f, 4.f, |
| 7328 | 2.f, 1.f, |
| 7329 | |
| 7330 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7331 | 1.f, -2.f, |
| 7332 | 6.f, 4.f |
| 7333 | }; |
| 7334 | std::vector<float> expectedOutputValues |
| 7335 | { |
| 7336 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7337 | 1.f, 3.f, |
| 7338 | 4.f, 3.f, |
| 7339 | |
| 7340 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7341 | 4.f, 4.f, |
| 7342 | 2.f, 3.f, |
| 7343 | |
| 7344 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7345 | 1.f, 2.f, |
| 7346 | 6.f, 4.f |
| 7347 | }; |
| 7348 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7349 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 7350 | (workloadFactory, memoryManager, |
| 7351 | inputOutputShape, inputValues, expectedOutputValues, |
| 7352 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7353 | } |
| 7354 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7355 | LayerTestResult<uint8_t, 4> ConstantUint8Test( |
| 7356 | armnn::IWorkloadFactory& workloadFactory, |
| 7357 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7358 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7359 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7360 | } |
| 7361 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7362 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 7363 | armnn::IWorkloadFactory& workloadFactory, |
| 7364 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7365 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7366 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7367 | } |
| 7368 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7369 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 7370 | armnn::IWorkloadFactory& workloadFactory, |
| 7371 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7372 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7373 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7374 | } |
| 7375 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7376 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 7377 | armnn::IWorkloadFactory& workloadFactory, |
| 7378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7379 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7380 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7381 | } |
| 7382 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7383 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 7384 | armnn::IWorkloadFactory& workloadFactory, |
| 7385 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7386 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7387 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7388 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7389 | } |
| 7390 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7391 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 7392 | armnn::IWorkloadFactory& workloadFactory, |
| 7393 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7394 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7395 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7396 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7397 | } |
| 7398 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7399 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 7400 | armnn::IWorkloadFactory& workloadFactory, |
| 7401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7402 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7403 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7404 | } |
| 7405 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7406 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 7407 | armnn::IWorkloadFactory& workloadFactory, |
| 7408 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7410 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7411 | } |
| 7412 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7413 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 7414 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7416 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7417 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7418 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7419 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7420 | } |
| 7421 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7422 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 7423 | armnn::IWorkloadFactory& workloadFactory, |
| 7424 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7425 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7426 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7427 | } |
| 7428 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7429 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 7430 | armnn::IWorkloadFactory& workloadFactory, |
| 7431 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7432 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7433 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7434 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7435 | } |
| 7436 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7437 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 7438 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7439 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7440 | bool useSubtensor) |
| 7441 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7442 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7443 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7444 | } |
| 7445 | |
| 7446 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 7447 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7448 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7449 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7450 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7451 | } |
| 7452 | |
| 7453 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 7454 | armnn::IWorkloadFactory& workloadFactory, |
| 7455 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7456 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7457 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7458 | } |
| 7459 | |
| 7460 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 7461 | armnn::IWorkloadFactory& workloadFactory, |
| 7462 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7463 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7464 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7465 | } |
| 7466 | |
| 7467 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 7468 | armnn::IWorkloadFactory& workloadFactory, |
| 7469 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 7470 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7471 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7472 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7473 | } |
| 7474 | |
| 7475 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 7476 | armnn::IWorkloadFactory& workloadFactory, |
| 7477 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7478 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7479 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7480 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7481 | } |
| 7482 | |
| 7483 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 7484 | armnn::IWorkloadFactory& workloadFactory, |
| 7485 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7486 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7487 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7488 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7489 | } |
| 7490 | |
| 7491 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 7492 | armnn::IWorkloadFactory& workloadFactory, |
| 7493 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7494 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7495 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7496 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7497 | } |
| 7498 | |
| 7499 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 7500 | armnn::IWorkloadFactory& workloadFactory, |
| 7501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7502 | bool useSubtensor) |
| 7503 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7504 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7505 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7506 | } |
| 7507 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7508 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 7509 | armnn::IWorkloadFactory& workloadFactory, |
| 7510 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7511 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7512 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7513 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 7514 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7515 | } |
| 7516 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7517 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 7518 | armnn::IWorkloadFactory& workloadFactory, |
| 7519 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7520 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7521 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7522 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7523 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7524 | } |
| 7525 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7526 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 7527 | armnn::IWorkloadFactory& workloadFactory, |
| 7528 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7529 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7530 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7531 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 7532 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7533 | } |
| 7534 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7535 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 7536 | armnn::IWorkloadFactory& workloadFactory, |
| 7537 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7538 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7539 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7540 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7541 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7542 | } |
| 7543 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7544 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 7545 | armnn::IWorkloadFactory& workloadFactory, |
| 7546 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7547 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7548 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7549 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7550 | } |
| 7551 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7552 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 7553 | armnn::IWorkloadFactory& workloadFactory, |
| 7554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7555 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 7556 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7557 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 7558 | } |
| 7559 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7560 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 7561 | armnn::IWorkloadFactory& workloadFactory, |
| 7562 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7563 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7564 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7565 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 7566 | } |
| 7567 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7568 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 7569 | armnn::IWorkloadFactory& workloadFactory, |
| 7570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7571 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 7572 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7573 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7574 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7575 | } |
| 7576 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7577 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 7578 | armnn::IWorkloadFactory& workloadFactory, |
| 7579 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7580 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7581 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7582 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7583 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7584 | } |
| 7585 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7586 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 7587 | armnn::IWorkloadFactory& workloadFactory, |
| 7588 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7589 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7590 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7591 | } |
| 7592 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7593 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 7594 | armnn::IWorkloadFactory& workloadFactory, |
| 7595 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7596 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7597 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 7598 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7599 | } |
| 7600 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7601 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 7602 | armnn::IWorkloadFactory& workloadFactory, |
| 7603 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7604 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7605 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7606 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7607 | } |
| 7608 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7609 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 7610 | armnn::IWorkloadFactory& workloadFactory, |
| 7611 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 7612 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7613 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7614 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7615 | } |
| 7616 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7617 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 7618 | armnn::IWorkloadFactory& workloadFactory, |
| 7619 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7620 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7621 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7622 | } |
| 7623 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7624 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 7625 | armnn::IWorkloadFactory& workloadFactory, |
| 7626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7627 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7628 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7629 | } |
| 7630 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7631 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 7632 | armnn::IWorkloadFactory& workloadFactory, |
| 7633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7634 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7635 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7636 | } |
| 7637 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7638 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 7639 | armnn::IWorkloadFactory& workloadFactory, |
| 7640 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7641 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7642 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7643 | } |
| 7644 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7645 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 7646 | armnn::IWorkloadFactory& workloadFactory, |
| 7647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7648 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7649 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7650 | } |
| 7651 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7652 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 7653 | armnn::IWorkloadFactory& workloadFactory, |
| 7654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7655 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7656 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7657 | } |
| 7658 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7659 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 7660 | armnn::IWorkloadFactory& workloadFactory, |
| 7661 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7662 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7663 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7664 | } |
| 7665 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7666 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 7667 | armnn::IWorkloadFactory& workloadFactory, |
| 7668 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7669 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7670 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7671 | } |
| 7672 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7673 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 7674 | armnn::IWorkloadFactory& workloadFactory, |
| 7675 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7676 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7677 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7678 | } |
| 7679 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7680 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 7681 | armnn::IWorkloadFactory& workloadFactory, |
| 7682 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7683 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7684 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7685 | } |
| 7686 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7687 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 7688 | armnn::IWorkloadFactory& workloadFactory, |
| 7689 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7690 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7691 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7692 | } |
| 7693 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7694 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 7695 | armnn::IWorkloadFactory& workloadFactory, |
| 7696 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7697 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7698 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7699 | } |
| 7700 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7701 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 7702 | armnn::IWorkloadFactory& workloadFactory, |
| 7703 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7704 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 7705 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7706 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7707 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7708 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7709 | } |
| 7710 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7711 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 7712 | armnn::IWorkloadFactory& workloadFactory, |
| 7713 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7714 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 7715 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7716 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7717 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7718 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7719 | } |
| 7720 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7721 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 7722 | armnn::IWorkloadFactory& workloadFactory, |
| 7723 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7724 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7725 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7726 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7727 | } |
| 7728 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7729 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 7730 | armnn::IWorkloadFactory& workloadFactory, |
| 7731 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7732 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7733 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7734 | } |
| 7735 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7736 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 7737 | armnn::IWorkloadFactory& workloadFactory, |
| 7738 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7739 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7740 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 7741 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7742 | } |
| 7743 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7744 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 7745 | armnn::IWorkloadFactory& workloadFactory, |
| 7746 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7747 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7748 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7749 | } |
| 7750 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7751 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 7752 | armnn::IWorkloadFactory& workloadFactory, |
| 7753 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7754 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7755 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 7756 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7757 | } |
| 7758 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7759 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 7760 | armnn::IWorkloadFactory& workloadFactory, |
| 7761 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7762 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7763 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7764 | } |
| 7765 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7766 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 7767 | armnn::IWorkloadFactory& workloadFactory, |
| 7768 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7769 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7770 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 7771 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7772 | } |
| 7773 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7774 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 7775 | armnn::IWorkloadFactory& workloadFactory, |
| 7776 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7777 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7778 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 7779 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7780 | } |
| 7781 | |
| 7782 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7783 | armnn::IWorkloadFactory& workloadFactory, |
| 7784 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7785 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7786 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 7787 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7788 | } |
| 7789 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7790 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 7791 | armnn::IWorkloadFactory& workloadFactory, |
| 7792 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7793 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7794 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7795 | } |
| 7796 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7797 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 7798 | armnn::IWorkloadFactory& workloadFactory, |
| 7799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7800 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7801 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 7802 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7803 | } |
| 7804 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7805 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 7806 | armnn::IWorkloadFactory& workloadFactory, |
| 7807 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7808 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7809 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7810 | } |
| 7811 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7812 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 7813 | armnn::IWorkloadFactory& workloadFactory, |
| 7814 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7815 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7816 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7817 | } |
| 7818 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7819 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 7820 | armnn::IWorkloadFactory& workloadFactory, |
| 7821 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7822 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7823 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7824 | } |
| 7825 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7826 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 7827 | armnn::IWorkloadFactory& workloadFactory, |
| 7828 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7829 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7830 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7831 | } |
| 7832 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7833 | LayerTestResult<float, 4> SimplePermuteFloat32Test( |
| 7834 | armnn::IWorkloadFactory& workloadFactory, |
| 7835 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7836 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7837 | return SimplePermuteFloat32TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7838 | }; |
| 7839 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7840 | LayerTestResult<uint8_t, 4> SimplePermuteUint8Test( |
| 7841 | armnn::IWorkloadFactory& workloadFactory, |
| 7842 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7843 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7844 | return SimplePermuteUint8TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7845 | }; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7846 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7847 | LayerTestResult<float, 4> PermuteFloat32ValueSet1Test( |
| 7848 | armnn::IWorkloadFactory& workloadFactory, |
| 7849 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7850 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7851 | return PermuteFloat32ValueSet1TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7852 | }; |
| 7853 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7854 | LayerTestResult<float, 4> PermuteFloat32ValueSet2Test( |
| 7855 | armnn::IWorkloadFactory& workloadFactory, |
| 7856 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7857 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7858 | return PermuteFloat32ValueSet2TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7859 | }; |
| 7860 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7861 | LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( |
| 7862 | armnn::IWorkloadFactory& workloadFactory, |
| 7863 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7864 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7865 | return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7866 | }; |
| 7867 | |
| 7868 | namespace |
| 7869 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7870 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7871 | template <typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7872 | LayerTestResult<T, OutputDim> MeanTestHelper( |
| 7873 | armnn::IWorkloadFactory& workloadFactory, |
| 7874 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7875 | const unsigned int* inputShape, |
| 7876 | const std::vector<T>& inputData, |
| 7877 | const std::vector<unsigned int>& axis, |
| 7878 | bool keepDims, |
| 7879 | const unsigned int* outputShape, |
| 7880 | const std::vector<T>& outputData, |
| 7881 | float scale = 1.0f, |
| 7882 | int32_t offset = 0) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7883 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7884 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7885 | |
| 7886 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 7887 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 7888 | |
| 7889 | inputTensorInfo.SetQuantizationScale(scale); |
| 7890 | inputTensorInfo.SetQuantizationOffset(offset); |
| 7891 | |
| 7892 | outputTensorInfo.SetQuantizationScale(scale); |
| 7893 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7894 | |
| 7895 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 7896 | |
| 7897 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 7898 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 7899 | |
| 7900 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7901 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7902 | |
| 7903 | armnn::MeanQueueDescriptor data; |
| 7904 | data.m_Parameters.m_Axis = axis; |
| 7905 | data.m_Parameters.m_KeepDims = keepDims; |
| 7906 | armnn::WorkloadInfo info; |
| 7907 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 7908 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7909 | |
| 7910 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); |
| 7911 | |
| 7912 | inputHandle->Allocate(); |
| 7913 | outputHandle->Allocate(); |
| 7914 | |
| 7915 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 7916 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7917 | workload->Execute(); |
| 7918 | |
| 7919 | CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| 7920 | |
| 7921 | return result; |
| 7922 | } |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7923 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7924 | } // anonymous namespace |
| 7925 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7926 | LayerTestResult<uint8_t, 1> MeanUint8SimpleTest( |
| 7927 | armnn::IWorkloadFactory& workloadFactory, |
| 7928 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7929 | { |
| 7930 | const unsigned int inputShape[] = { 3, 2 }; |
| 7931 | const unsigned int outputShape[] = { 1 }; |
| 7932 | |
| 7933 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 7934 | std::vector<uint8_t> output({ 2 }); |
| 7935 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7936 | return MeanTestHelper<uint8_t, 2, 1>( |
| 7937 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7938 | } |
| 7939 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7940 | LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest( |
| 7941 | armnn::IWorkloadFactory& workloadFactory, |
| 7942 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7943 | { |
| 7944 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 7945 | const unsigned int outputShape[] = { 1, 1, 2 }; |
| 7946 | |
| 7947 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 7948 | std::vector<uint8_t> output({ 2, 2 }); |
| 7949 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7950 | return MeanTestHelper<uint8_t, 4, 3>( |
| 7951 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7952 | } |
| 7953 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7954 | LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest( |
| 7955 | armnn::IWorkloadFactory& workloadFactory, |
| 7956 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7957 | { |
| 7958 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 7959 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 7960 | |
| 7961 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 7962 | std::vector<uint8_t> output({ 2, 2 }); |
| 7963 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7964 | return MeanTestHelper<uint8_t, 4, 4>( |
| 7965 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7966 | } |
| 7967 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7968 | LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest( |
| 7969 | armnn::IWorkloadFactory& workloadFactory, |
| 7970 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7971 | { |
| 7972 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 7973 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 7974 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7975 | std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6 }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7976 | std::vector<uint8_t> output({ 1, 3, 5 }); |
| 7977 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7978 | return MeanTestHelper<uint8_t, 4, 4>( |
| 7979 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7980 | } |
| 7981 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7982 | LayerTestResult<uint8_t, 1> MeanVtsUint8Test( |
| 7983 | armnn::IWorkloadFactory& workloadFactory, |
| 7984 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7985 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7986 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7987 | const unsigned int outputShape[] = { 2 }; |
| 7988 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7989 | std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, |
| 7990 | 24 }); |
| 7991 | std::vector<uint8_t> output({ 12, 13 }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7992 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7993 | return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, memoryManager, |
| 7994 | inputShape, input, { 0, 1 }, false, outputShape, |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 7995 | output, 0.8f, 5); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 7996 | } |
| 7997 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7998 | LayerTestResult<float, 1> MeanFloatSimpleTest( |
| 7999 | armnn::IWorkloadFactory& workloadFactory, |
| 8000 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8001 | { |
| 8002 | const unsigned int inputShape[] = { 3, 2 }; |
| 8003 | const unsigned int outputShape[] = { 1 }; |
| 8004 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8005 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8006 | std::vector<float> output({ 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8007 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8008 | return MeanTestHelper<float, 2, 1>( |
| 8009 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8010 | } |
| 8011 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8012 | LayerTestResult<float, 3> MeanFloatSimpleAxisTest( |
| 8013 | armnn::IWorkloadFactory& workloadFactory, |
| 8014 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8015 | { |
| 8016 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8017 | const unsigned int outputShape[] = { 3, 1, 2 }; |
| 8018 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8019 | std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }); |
| 8020 | std::vector<float> output({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8021 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8022 | return MeanTestHelper<float, 4, 3>( |
| 8023 | workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8024 | } |
| 8025 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8026 | LayerTestResult<float, 4> MeanFloatKeepDimsTest( |
| 8027 | armnn::IWorkloadFactory& workloadFactory, |
| 8028 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8029 | { |
| 8030 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8031 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8032 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8033 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8034 | std::vector<float> output({ 2.0f, 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8035 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8036 | return MeanTestHelper<float, 4, 4>( |
| 8037 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8038 | } |
| 8039 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8040 | LayerTestResult<float, 4> MeanFloatMultipleDimsTest( |
| 8041 | armnn::IWorkloadFactory& workloadFactory, |
| 8042 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8043 | { |
| 8044 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8045 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8046 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8047 | std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }); |
| 8048 | std::vector<float> output({ 1.5f, 3.5f, 5.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8049 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8050 | return MeanTestHelper<float, 4, 4>( |
| 8051 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8052 | } |
| 8053 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8054 | LayerTestResult<float, 1> MeanVtsFloat1Test( |
| 8055 | armnn::IWorkloadFactory& workloadFactory, |
| 8056 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8057 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8058 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8059 | const unsigned int outputShape[] = { 2 }; |
| 8060 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8061 | 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, 13.0f, 14.0f, |
| 8062 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8063 | std::vector<float> output({ 12.0f, 13.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8064 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8065 | return MeanTestHelper<float, 3, 1>( |
| 8066 | workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8067 | } |
| 8068 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8069 | LayerTestResult<float, 3> MeanVtsFloat2Test( |
| 8070 | armnn::IWorkloadFactory& workloadFactory, |
| 8071 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8072 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8073 | const unsigned int inputShape[] = { 4, 3, 2 }; |
| 8074 | const unsigned int outputShape[] = { 1, 3, 1 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8075 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8076 | 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, 13.0f, 14.0f, |
| 8077 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8078 | std::vector<float> output({ 10.5f, 12.5f, 14.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8079 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8080 | return MeanTestHelper<float, 3, 3>( |
| 8081 | workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8082 | } |
| 8083 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8084 | LayerTestResult<float, 3> MeanVtsFloat3Test( |
| 8085 | armnn::IWorkloadFactory& workloadFactory, |
| 8086 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8087 | { |
| 8088 | const unsigned int inputShape[] = { 1, 2, 2, 1 }; |
| 8089 | const unsigned int outputShape[] = { 1, 2, 1 }; |
| 8090 | |
| 8091 | std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); |
| 8092 | std::vector<float> output({ 1.5f, 3.5f }); |
| 8093 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8094 | return MeanTestHelper<float, 4, 3>( |
| 8095 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8096 | } |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8097 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8098 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 8099 | armnn::IWorkloadFactory& workloadFactory, |
| 8100 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8101 | { |
| 8102 | // Create Initial Tensor |
| 8103 | // 1, 2, 3 |
| 8104 | // 4, 5, 6 |
| 8105 | // 7, 8, 9 |
| 8106 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8107 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 8108 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8109 | |
| 8110 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 8111 | {1, 2, 3, |
| 8112 | 4, 5, 6, |
| 8113 | 7, 8, 9 |
| 8114 | }); |
| 8115 | |
| 8116 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 8117 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 8118 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 8119 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 8120 | |
| 8121 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 8122 | // Result = |
| 8123 | // 1, 3 |
| 8124 | // 7, 9 |
| 8125 | armnn::Pooling2dDescriptor descriptor; |
| 8126 | descriptor.m_PoolHeight = 1; |
| 8127 | descriptor.m_PoolWidth = 1; |
| 8128 | descriptor.m_StrideX = 2; |
| 8129 | descriptor.m_StrideY = 2; |
| 8130 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 8131 | |
| 8132 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 8133 | queueDescriptor.m_Parameters = descriptor; |
| 8134 | armnn::WorkloadInfo workloadInfo; |
| 8135 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 8136 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8137 | |
| 8138 | // Create the MaxPool |
| 8139 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 8140 | |
| 8141 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 8142 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 8143 | boost::multi_array<float, 4> resultMaxPool; |
| 8144 | resultMaxPool.resize(shape); |
| 8145 | |
| 8146 | |
| 8147 | // Create addition with another tensor the same size |
| 8148 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 8149 | // with the initial tensor. |
| 8150 | // 12, 16 |
| 8151 | // 24, 28 |
| 8152 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8153 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 8154 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8155 | |
| 8156 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 8157 | {12, 16, |
| 8158 | 24, 28, |
| 8159 | }); |
| 8160 | |
| 8161 | // Expected output tensor after MaxPool and Addition. |
| 8162 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 8163 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 8164 | { |
| 8165 | 13, 19, |
| 8166 | 31, 37 |
| 8167 | })); |
| 8168 | |
| 8169 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 8170 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 8171 | |
| 8172 | armnn::AdditionQueueDescriptor data; |
| 8173 | armnn::WorkloadInfo info; |
| 8174 | |
| 8175 | // Add the output of the MaxPool and the new tensor |
| 8176 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8177 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 8178 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 8179 | |
| 8180 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 8181 | |
| 8182 | poolingInputHandle->Allocate(); |
| 8183 | poolingOutputHandle->Allocate(); |
| 8184 | addInputHandle->Allocate(); |
| 8185 | addOutputHandle->Allocate(); |
| 8186 | |
| 8187 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 8188 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 8189 | |
| 8190 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 8191 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 8192 | |
| 8193 | workload->Execute(); |
| 8194 | addWorkload->Execute(); |
| 8195 | |
| 8196 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 8197 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8198 | return addRet; |
| 8199 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8200 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8201 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 8202 | armnn::IWorkloadFactory& workloadFactory, |
| 8203 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8204 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8205 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8206 | } |
| 8207 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8208 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 8209 | armnn::IWorkloadFactory& workloadFactory, |
| 8210 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8211 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8212 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8213 | } |
| 8214 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8215 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 8216 | armnn::IWorkloadFactory& workloadFactory, |
| 8217 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8218 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8219 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8220 | } |
| 8221 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8222 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 8223 | armnn::IWorkloadFactory& workloadFactory, |
| 8224 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8225 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8226 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8227 | } |
| 8228 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8229 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 8230 | armnn::IWorkloadFactory& workloadFactory, |
| 8231 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8232 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8233 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8234 | } |
| 8235 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8236 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 8237 | armnn::IWorkloadFactory& workloadFactory, |
| 8238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8239 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8240 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8241 | } |
| 8242 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8243 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 8244 | armnn::IWorkloadFactory& workloadFactory, |
| 8245 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8246 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8247 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8248 | } |
| 8249 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8250 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 8251 | armnn::IWorkloadFactory& workloadFactory, |
| 8252 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8253 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8254 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8255 | } |
| 8256 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8257 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 8258 | armnn::IWorkloadFactory& workloadFactory, |
| 8259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8260 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8261 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8262 | } |
| 8263 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8264 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 8265 | armnn::IWorkloadFactory& workloadFactory, |
| 8266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8267 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8268 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8269 | } |
| 8270 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8271 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 8272 | armnn::IWorkloadFactory& workloadFactory, |
| 8273 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8274 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8275 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8276 | } |
| 8277 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8278 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 8279 | armnn::IWorkloadFactory& workloadFactory, |
| 8280 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8281 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8282 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8283 | } |
| 8284 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8285 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 8286 | armnn::IWorkloadFactory& workloadFactory, |
| 8287 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8288 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8289 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8290 | } |
| 8291 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8292 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 8293 | armnn::IWorkloadFactory& workloadFactory, |
| 8294 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8295 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8296 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8297 | } |
| 8298 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8299 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 8300 | armnn::IWorkloadFactory& workloadFactory, |
| 8301 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8302 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8303 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8304 | } |
| 8305 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8306 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 8307 | armnn::IWorkloadFactory& workloadFactory, |
| 8308 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8309 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8310 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8311 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8312 | |
| 8313 | namespace { |
| 8314 | |
| 8315 | template<typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8316 | LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( |
| 8317 | armnn::IWorkloadFactory &workloadFactory, |
| 8318 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8319 | const armnn::DataLayout& dataLayout, |
| 8320 | const unsigned int *inputShape, |
| 8321 | const std::vector<T> &inputData, |
| 8322 | const std::vector<unsigned int> &blockShape, |
| 8323 | const std::vector<std::pair<unsigned int, unsigned int>> &crops, |
| 8324 | const unsigned int *outputShape, |
| 8325 | const std::vector<T> &outputData, |
| 8326 | float scale = 1.0f, |
| 8327 | int32_t offset = 0) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8328 | { |
| 8329 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
| 8330 | |
| 8331 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 8332 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 8333 | |
| 8334 | inputTensorInfo.SetQuantizationScale(scale); |
| 8335 | inputTensorInfo.SetQuantizationOffset(offset); |
| 8336 | |
| 8337 | outputTensorInfo.SetQuantizationScale(scale); |
| 8338 | outputTensorInfo.SetQuantizationOffset(offset); |
| 8339 | |
| 8340 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 8341 | |
| 8342 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 8343 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 8344 | |
| 8345 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 8346 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8347 | |
| 8348 | armnn::BatchToSpaceNdQueueDescriptor data; |
| 8349 | data.m_Parameters.m_DataLayout = dataLayout; |
| 8350 | data.m_Parameters.m_BlockShape = blockShape; |
| 8351 | data.m_Parameters.m_Crops = crops; |
| 8352 | armnn::WorkloadInfo info; |
| 8353 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 8354 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8355 | |
| 8356 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); |
| 8357 | |
| 8358 | inputHandle->Allocate(); |
| 8359 | outputHandle->Allocate(); |
| 8360 | |
| 8361 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 8362 | |
| 8363 | workload->Execute(); |
| 8364 | |
| 8365 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8366 | |
| 8367 | return result; |
| 8368 | } |
| 8369 | |
| 8370 | } // anonymous namespace |
| 8371 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8372 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( |
| 8373 | armnn::IWorkloadFactory& workloadFactory, |
| 8374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8375 | { |
| 8376 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8377 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8378 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8379 | std::vector<float> input({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8380 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8381 | 1.0f, 3.0f, |
| 8382 | // Batch 0, Height 1, Width (2) x Channel (1) |
| 8383 | 9.0f, 11.0f, |
| 8384 | |
| 8385 | |
| 8386 | // Batch 1, Height 0, Width (2) x Channel (1) |
| 8387 | 2.0f, 4.0f, |
| 8388 | // Batch 1, Height 1, Width (2) x Channel (1) |
| 8389 | 10.0f, 12.0f, |
| 8390 | |
| 8391 | |
| 8392 | // Batch 2, Height 0, Width (2) x Channel (1) |
| 8393 | 5.0f, 7.0f, |
| 8394 | // Batch 2, Height 1, Width (2) x Channel (1) |
| 8395 | 13.0f, 15.0f, |
| 8396 | |
| 8397 | // Batch 3, Height 0, Width (2) x Channel (3) |
| 8398 | 6.0f, 8.0f, |
| 8399 | // Batch 3, Height 1, Width (2) x Channel (1) |
| 8400 | 14.0f, 16.0f |
| 8401 | }); |
| 8402 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8403 | std::vector<float> expectedOutput({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8404 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 8405 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 8406 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 8407 | 13.0f, 14.0f, 15.0f, 16.0f |
| 8408 | }); |
| 8409 | |
| 8410 | std::vector<unsigned int> blockShape {2, 2}; |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8411 | 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] | 8412 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8413 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8414 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8415 | crops, outputShape, expectedOutput); |
| 8416 | } |
| 8417 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8418 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( |
| 8419 | armnn::IWorkloadFactory& workloadFactory, |
| 8420 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8421 | { |
| 8422 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 8423 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 8424 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8425 | std::vector<float> input({ |
| 8426 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8427 | 1.0f, 2.0f, 3.0f, 4.0f |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8428 | }); |
| 8429 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8430 | 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] | 8431 | |
| 8432 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8433 | 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] | 8434 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8435 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8436 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8437 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8438 | } |
| 8439 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8440 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( |
| 8441 | armnn::IWorkloadFactory& workloadFactory, |
| 8442 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8443 | { |
| 8444 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 8445 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 8446 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8447 | 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] | 8448 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8449 | 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] | 8450 | |
| 8451 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8452 | 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] | 8453 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8454 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8455 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8456 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8457 | } |
| 8458 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8459 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( |
| 8460 | armnn::IWorkloadFactory& workloadFactory, |
| 8461 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8462 | { |
| 8463 | const unsigned int inputShape[] = {8, 1, 3, 1}; |
| 8464 | const unsigned int outputShape[] = {2, 2, 4, 1}; |
| 8465 | |
| 8466 | std::vector<float> input({ |
| 8467 | 0.0f, 1.0f, 3.0f, |
| 8468 | 0.0f, 9.0f, 11.0f, |
| 8469 | 0.0f, 2.0f, 4.0f, |
| 8470 | 0.0f, 10.0f, 12.0f, |
| 8471 | 0.0f, 5.0f, 7.0f, |
| 8472 | 0.0f, 13.0f, 15.0f, |
| 8473 | 0.0f, 6.0f, 8.0f, |
| 8474 | 0.0f, 14.0f, 16.0f |
| 8475 | }); |
| 8476 | |
| 8477 | std::vector<float> expectedOutput({ |
| 8478 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 8479 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 8480 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 8481 | 13.0f, 14.0f, 15.0f, 16.0f |
| 8482 | }); |
| 8483 | |
| 8484 | std::vector<unsigned int> blockShape({2, 2}); |
| 8485 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 8486 | |
| 8487 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8488 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8489 | crops, outputShape, expectedOutput); |
| 8490 | } |
| 8491 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8492 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( |
| 8493 | armnn::IWorkloadFactory &workloadFactory, |
| 8494 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8495 | { |
| 8496 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 8497 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 8498 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8499 | 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] | 8500 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8501 | std::vector<float> expectedOutput({ |
| 8502 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 8503 | 1.0f, 4.0f, |
| 8504 | 7.0f, 10.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8505 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8506 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 8507 | 2.0f, 5.0f, |
| 8508 | 8.0f, 11.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8509 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8510 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 8511 | 3.0f, 6.0f, |
| 8512 | 9.0f, 12.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8513 | }); |
| 8514 | |
| 8515 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8516 | 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] | 8517 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8518 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8519 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8520 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8521 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 8522 | |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8523 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8524 | armnn::IWorkloadFactory& workloadFactory, |
| 8525 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8526 | { |
| 8527 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 8528 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 8529 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8530 | std::vector<float> input({ |
| 8531 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8532 | 1.0f, 2.0f, 3.0f, 4.0f |
| 8533 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8534 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8535 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8536 | |
| 8537 | std::vector<unsigned int> blockShape({2, 2}); |
| 8538 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8539 | |
| 8540 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8541 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8542 | crops, outputShape, expectedOutput); |
| 8543 | } |
| 8544 | |
| 8545 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8546 | armnn::IWorkloadFactory& workloadFactory, |
| 8547 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8548 | { |
| 8549 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 8550 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 8551 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8552 | 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] | 8553 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8554 | std::vector<float> expectedOutput({ |
| 8555 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 8556 | 1.0f, 7.0f, |
| 8557 | 2.0f, 8.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8558 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8559 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 8560 | 3.0f, 9.0f, |
| 8561 | 4.0f, 10.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8562 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8563 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 8564 | 5.0f, 11.0f, |
| 8565 | 6.0f, 12.0f, |
| 8566 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8567 | |
| 8568 | std::vector<unsigned int> blockShape({2, 2}); |
| 8569 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8570 | |
| 8571 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8572 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8573 | crops, outputShape, expectedOutput); |
| 8574 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 8575 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8576 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( |
| 8577 | armnn::IWorkloadFactory& workloadFactory, |
| 8578 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 8579 | { |
| 8580 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
| 8581 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
| 8582 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8583 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); |
| 8584 | 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] | 8585 | |
| 8586 | std::vector<unsigned int> blockShape({2, 2}); |
| 8587 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8588 | |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 8589 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, |
| 8590 | input, blockShape, crops, outputShape, expectedOutput); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8591 | } |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8592 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8593 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( |
| 8594 | armnn::IWorkloadFactory& workloadFactory, |
| 8595 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8596 | { |
| 8597 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 8598 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 8599 | |
| 8600 | std::vector<uint8_t> input({ |
| 8601 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8602 | 1, 2, 3, 4 |
| 8603 | }); |
| 8604 | |
| 8605 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 8606 | |
| 8607 | std::vector<unsigned int> blockShape({2, 2}); |
| 8608 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8609 | |
| 8610 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 8611 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8612 | crops, outputShape, expectedOutput); |
| 8613 | } |
| 8614 | |
| 8615 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( |
| 8616 | armnn::IWorkloadFactory& workloadFactory, |
| 8617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8618 | { |
| 8619 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 8620 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 8621 | |
| 8622 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 8623 | |
| 8624 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 8625 | |
| 8626 | std::vector<unsigned int> blockShape({2, 2}); |
| 8627 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8628 | |
| 8629 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 8630 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8631 | crops, outputShape, expectedOutput); |
| 8632 | } |
| 8633 | |
| 8634 | |
| 8635 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( |
| 8636 | armnn::IWorkloadFactory &workloadFactory, |
| 8637 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8638 | { |
| 8639 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 8640 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 8641 | |
| 8642 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 8643 | |
| 8644 | std::vector<uint8_t> expectedOutput({ |
| 8645 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 8646 | 1, 4, |
| 8647 | 7, 10, |
| 8648 | |
| 8649 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 8650 | 2, 5, |
| 8651 | 8, 11, |
| 8652 | |
| 8653 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 8654 | 3, 6, |
| 8655 | 9, 12, |
| 8656 | }); |
| 8657 | |
| 8658 | std::vector<unsigned int> blockShape({2, 2}); |
| 8659 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8660 | |
| 8661 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 8662 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8663 | crops, outputShape, expectedOutput); |
| 8664 | } |
| 8665 | |
| 8666 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( |
| 8667 | armnn::IWorkloadFactory& workloadFactory, |
| 8668 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8669 | { |
| 8670 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 8671 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 8672 | |
| 8673 | std::vector<uint8_t> input({ |
| 8674 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8675 | 1, 2, 3, 4 |
| 8676 | }); |
| 8677 | |
| 8678 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 8679 | |
| 8680 | std::vector<unsigned int> blockShape({2, 2}); |
| 8681 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8682 | |
| 8683 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 8684 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8685 | crops, outputShape, expectedOutput); |
| 8686 | } |
| 8687 | |
| 8688 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( |
| 8689 | armnn::IWorkloadFactory& workloadFactory, |
| 8690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8691 | { |
| 8692 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 8693 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 8694 | |
| 8695 | std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); |
| 8696 | |
| 8697 | std::vector<uint8_t> expectedOutput({ |
| 8698 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 8699 | 1, 7, |
| 8700 | 2, 8, |
| 8701 | |
| 8702 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 8703 | 3, 9, |
| 8704 | 4, 10, |
| 8705 | |
| 8706 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 8707 | 5, 11, |
| 8708 | 6, 12, |
| 8709 | }); |
| 8710 | |
| 8711 | std::vector<unsigned int> blockShape({2, 2}); |
| 8712 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 8713 | |
| 8714 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 8715 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8716 | crops, outputShape, expectedOutput); |
| 8717 | } |
| 8718 | |
| 8719 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( |
| 8720 | armnn::IWorkloadFactory& workloadFactory, |
| 8721 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8722 | { |
| 8723 | const unsigned int inputShape[] = {8, 1, 1, 3}; |
| 8724 | const unsigned int outputShape[] = {2, 1, 2, 4}; |
| 8725 | |
| 8726 | std::vector<uint8_t> input({ |
| 8727 | 0, 1, 3, 0, 9, 11, |
| 8728 | 0, 2, 4, 0, 10, 12, |
| 8729 | 0, 5, 7, 0, 13, 15, |
| 8730 | 0, 6, 8, 0, 14, 16 |
| 8731 | }); |
| 8732 | |
| 8733 | std::vector<uint8_t> expectedOutput({ |
| 8734 | 1, 2, 3, 4, |
| 8735 | 5, 6, 7, 8, |
| 8736 | 9, 10, 11, 12, |
| 8737 | 13, 14, 15, 16 |
| 8738 | }); |
| 8739 | |
| 8740 | std::vector<unsigned int> blockShape({2, 2}); |
| 8741 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 8742 | |
| 8743 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 8744 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8745 | crops, outputShape, expectedOutput); |
| 8746 | } |
| 8747 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8748 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 8749 | armnn::IWorkloadFactory& workloadFactory, |
| 8750 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8751 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8752 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8753 | } |
| 8754 | |
| 8755 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 8756 | armnn::IWorkloadFactory& workloadFactory, |
| 8757 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8758 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8759 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8760 | } |
| 8761 | |
| 8762 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 8763 | armnn::IWorkloadFactory& workloadFactory, |
| 8764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8765 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8766 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8767 | } |
| 8768 | |
| 8769 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 8770 | armnn::IWorkloadFactory& workloadFactory, |
| 8771 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8772 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8773 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8774 | } |
| 8775 | |
| 8776 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 8777 | armnn::IWorkloadFactory& workloadFactory, |
| 8778 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8779 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8780 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8781 | } |
| 8782 | |
| 8783 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 8784 | armnn::IWorkloadFactory& workloadFactory, |
| 8785 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8786 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8787 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8788 | } |
| 8789 | |
| 8790 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 8791 | armnn::IWorkloadFactory& workloadFactory, |
| 8792 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8793 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8794 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8795 | } |
| 8796 | |
| 8797 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 8798 | armnn::IWorkloadFactory& workloadFactory, |
| 8799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8800 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8801 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8802 | } |
| 8803 | |
| 8804 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 8805 | armnn::IWorkloadFactory& workloadFactory, |
| 8806 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8807 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8808 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8809 | } |
| 8810 | |
| 8811 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 8812 | armnn::IWorkloadFactory& workloadFactory, |
| 8813 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8814 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8815 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8816 | } |
| 8817 | |
| 8818 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 8819 | armnn::IWorkloadFactory& workloadFactory, |
| 8820 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8821 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8822 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8823 | } |
| 8824 | |
| 8825 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 8826 | armnn::IWorkloadFactory& workloadFactory, |
| 8827 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8828 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8829 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8830 | } |
| 8831 | |
| 8832 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 8833 | armnn::IWorkloadFactory& workloadFactory, |
| 8834 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8835 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8836 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8837 | } |
| 8838 | |
| 8839 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 8840 | armnn::IWorkloadFactory& workloadFactory, |
| 8841 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8842 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8843 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8844 | } |
| 8845 | |
| 8846 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 8847 | armnn::IWorkloadFactory& workloadFactory, |
| 8848 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8849 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8850 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8851 | } |
| 8852 | |
| 8853 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 8854 | armnn::IWorkloadFactory& workloadFactory, |
| 8855 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8856 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8857 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8858 | } |
| 8859 | |
| 8860 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 8861 | armnn::IWorkloadFactory& workloadFactory, |
| 8862 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8863 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8864 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8865 | } |
| 8866 | |
| 8867 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 8868 | armnn::IWorkloadFactory& workloadFactory, |
| 8869 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8870 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8871 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8872 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8873 | |
| 8874 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 8875 | armnn::IWorkloadFactory& workloadFactory, |
| 8876 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8877 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8878 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8879 | } |
| 8880 | |
| 8881 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 8882 | armnn::IWorkloadFactory& workloadFactory, |
| 8883 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8884 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8885 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8886 | } |
| 8887 | |
| 8888 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 8889 | armnn::IWorkloadFactory& workloadFactory, |
| 8890 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8891 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8892 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8893 | } |
| 8894 | |
| 8895 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 8896 | armnn::IWorkloadFactory& workloadFactory, |
| 8897 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8898 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8899 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8900 | } |
| 8901 | |
| 8902 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 8903 | armnn::IWorkloadFactory& workloadFactory, |
| 8904 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8905 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8906 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8907 | } |
| 8908 | |
| 8909 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 8910 | armnn::IWorkloadFactory& workloadFactory, |
| 8911 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8912 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8913 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8914 | } |
| 8915 | |
| 8916 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 8917 | armnn::IWorkloadFactory& workloadFactory, |
| 8918 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8919 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8920 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8921 | } |
| 8922 | |
| 8923 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 8924 | armnn::IWorkloadFactory& workloadFactory, |
| 8925 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8926 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8927 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 8928 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 8929 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 8930 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 8931 | armnn::IWorkloadFactory& workloadFactory, |
| 8932 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8933 | { |
| 8934 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8935 | } |
| 8936 | |
| 8937 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 8938 | armnn::IWorkloadFactory& workloadFactory, |
| 8939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8940 | { |
| 8941 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 8942 | } |
| 8943 | |
| 8944 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 8945 | armnn::IWorkloadFactory& workloadFactory, |
| 8946 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8947 | { |
| 8948 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8949 | } |
| 8950 | |
| 8951 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 8952 | armnn::IWorkloadFactory& workloadFactory, |
| 8953 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8954 | { |
| 8955 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 8956 | } |
| 8957 | |
| 8958 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 8959 | armnn::IWorkloadFactory& workloadFactory, |
| 8960 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8961 | { |
| 8962 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8963 | } |
| 8964 | |
| 8965 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 8966 | armnn::IWorkloadFactory& workloadFactory, |
| 8967 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8968 | { |
| 8969 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8970 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 8971 | } |