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" |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 46 | #include "DequantizeTestImpl.hpp" |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 47 | #include "QuantizeTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 48 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 49 | // 3-channel 16x8 image used as common input data for a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 50 | static std::vector<float> ConvInput3x8x16({ |
| 51 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 52 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 53 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 54 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 55 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 56 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 57 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 58 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 59 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 60 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 61 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 62 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 63 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 64 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 65 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 66 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 67 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 68 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 69 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 70 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 71 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 72 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 73 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 74 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 |
| 75 | }); |
| 76 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 77 | // 2-channel bias used by a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 78 | static std::vector<float> Bias2({0, 2}); |
| 79 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | // Helper function that returns either Bias2 or an empty vector depending on whether bias is enabled. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 81 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 82 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale, int32_t qOffset) |
| 83 | { |
| 84 | if(biasEnabled) |
| 85 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 86 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 87 | boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(qScale, qOffset, Bias2)); |
| 88 | return bias; |
| 89 | } |
| 90 | else |
| 91 | { |
| 92 | return boost::multi_array<T, 1>(); |
| 93 | } |
| 94 | } |
| 95 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 96 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 97 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 98 | armnn::IWorkloadFactory& workloadFactory, |
| 99 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 100 | float qScale, |
| 101 | int32_t qOffset, |
| 102 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 103 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 104 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 105 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 106 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 107 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 108 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 109 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 110 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 111 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 112 | QuantizedVector<T>(qScale, qOffset, { |
| 113 | 1, 1, 1, |
| 114 | 1, -1, 1, |
| 115 | 1, 1, 1, |
| 116 | 1, 1, 1, |
| 117 | 1, 1, 1, |
| 118 | |
| 119 | 0, 0, 0, |
| 120 | 0, 0, 0, |
| 121 | 0, 0, 0, |
| 122 | 0, 0, 0, |
| 123 | 0, 0, 0, |
| 124 | |
| 125 | 2, 2, 2, |
| 126 | 2, 2, 2, |
| 127 | 2, 2, 2, |
| 128 | 2, 2, 2, |
| 129 | 2, 2, 2, |
| 130 | |
| 131 | |
| 132 | 0, 0, 0, |
| 133 | 0, 0, 0, |
| 134 | 0, 0, 0, |
| 135 | 0, 0, 0, |
| 136 | 0, 0, 0, |
| 137 | |
| 138 | 1, 1, 1, |
| 139 | 1, 1, 1, |
| 140 | 1, 1, 1, |
| 141 | 1, 1, 1, |
| 142 | 1, 1, 1, |
| 143 | |
| 144 | 0, 0, 0, |
| 145 | 0, 0, 0, |
| 146 | 0, 0, 0, |
| 147 | 0, 0, 0, |
| 148 | 0, 0, 0 |
| 149 | }))); |
| 150 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 152 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 154 | QuantizedVector<T>(qScale, qOffset, { |
| 155 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 156 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 157 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 158 | -23.5f, -23.5f, -23.5f, |
| 159 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 160 | -23.5f, -23.5f, -23.5f, |
| 161 | |
| 162 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 163 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 164 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 165 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 166 | }))); |
| 167 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 168 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 169 | workloadFactory, |
| 170 | memoryManager, |
| 171 | input, |
| 172 | kernel, |
| 173 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 174 | expectedOutput, |
| 175 | qScale, |
| 176 | qOffset, |
| 177 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 178 | } |
| 179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 180 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 181 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 182 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 183 | armnn::IWorkloadFactory& workloadFactory, |
| 184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 185 | float qScale, |
| 186 | int32_t qOffset, |
| 187 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 188 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 189 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 190 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 193 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 194 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 195 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 196 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 197 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 198 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 199 | QuantizedVector<T>(qScale, qOffset, { |
| 200 | 1, 1, 1, |
| 201 | 1, -1, 1, |
| 202 | 1, 1, 1, |
| 203 | |
| 204 | 0, 0, 0, |
| 205 | 0, 0, 0, |
| 206 | 0, 0, 0, |
| 207 | |
| 208 | 2, 2, 2, |
| 209 | 2, 2, 2, |
| 210 | 2, 2, 2, |
| 211 | |
| 212 | |
| 213 | 0, 0, 0, |
| 214 | 0, 0, 0, |
| 215 | 0, 0, 0, |
| 216 | |
| 217 | 1, 1, 1, |
| 218 | 1, 1, 1, |
| 219 | 1, 1, 1, |
| 220 | |
| 221 | 0, 0, 0, |
| 222 | 0, 0, 0, |
| 223 | 0, 0, 0 |
| 224 | }))); |
| 225 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 226 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 227 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 229 | QuantizedVector<T>(qScale, qOffset, { |
| 230 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 231 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 232 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 233 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 234 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 235 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 236 | |
| 237 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 238 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 239 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 240 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 241 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 242 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 243 | }))); |
| 244 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 245 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 246 | workloadFactory, |
| 247 | memoryManager, |
| 248 | input, |
| 249 | kernel, |
| 250 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 251 | expectedOutput, |
| 252 | qScale, |
| 253 | qOffset, |
| 254 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 255 | } |
| 256 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 257 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 258 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 259 | armnn::IWorkloadFactory& workloadFactory, |
| 260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 261 | float qScale, |
| 262 | int32_t qOffset, |
| 263 | bool biasEnabled, |
| 264 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 265 | { |
| 266 | // Use common single-batch 5x5 image. |
| 267 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 268 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 269 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 270 | { |
| 271 | 1, 5, 2, 3, |
| 272 | 8, 7, 3, 6, |
| 273 | 3, 3, 9, 1 |
| 274 | }); |
| 275 | |
| 276 | |
| 277 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 278 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 279 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 280 | 4, 5, 6, |
| 281 | 0, 0, 0, |
| 282 | 3, 2, 1 |
| 283 | }); |
| 284 | |
| 285 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 286 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 287 | |
| 288 | const std::vector<float> outputData = |
| 289 | { |
| 290 | 23, 41, 33, 21, |
| 291 | 44, 65, 76, 52, |
| 292 | 82, 85, 79, 42 |
| 293 | }; |
| 294 | |
| 295 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 296 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 297 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 298 | workloadFactory, |
| 299 | memoryManager, |
| 300 | input, |
| 301 | kernel, |
| 302 | boost::multi_array<T, 1>(), |
| 303 | expectedOutput, |
| 304 | dataLayout, |
| 305 | qScale, |
| 306 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 307 | } |
| 308 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 309 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 310 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 311 | armnn::IWorkloadFactory& workloadFactory, |
| 312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 313 | float qScale, |
| 314 | int32_t qOffset, |
| 315 | bool biasEnabled, |
| 316 | const armnn::DataLayout& dataLayout) |
| 317 | { |
| 318 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 319 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 320 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 321 | { |
| 322 | 1, 5, 2, 3, 5, |
| 323 | 8, 7, 3, 6, 3, |
| 324 | 3, 3, 9, 1, 9, |
| 325 | 4, 1, 8, 1, 3, |
| 326 | 6, 8, 1, 9, 2 |
| 327 | }); |
| 328 | |
| 329 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 330 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 331 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 332 | { |
| 333 | 4, 5, 6, |
| 334 | 0, 0, 0, |
| 335 | 3, 2, 1 |
| 336 | }); |
| 337 | |
| 338 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 339 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 340 | |
| 341 | const std::vector<T> outputData = |
| 342 | { |
| 343 | 23, 33, 24, |
| 344 | 91, 99, 48, |
| 345 | 26, 50, 19 |
| 346 | }; |
| 347 | |
| 348 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 349 | |
| 350 | uint32_t padLeft = 1; |
| 351 | uint32_t padTop = 1; |
| 352 | uint32_t padRight = 1; |
| 353 | uint32_t padBottom = 1; |
| 354 | uint32_t strideX = 2; |
| 355 | uint32_t strideY = 2; |
| 356 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 357 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 358 | workloadFactory, |
| 359 | memoryManager, |
| 360 | input, |
| 361 | kernel, |
| 362 | boost::multi_array<T, 1>(), |
| 363 | expectedOutput, |
| 364 | dataLayout, |
| 365 | qScale, |
| 366 | qOffset, |
| 367 | padLeft, |
| 368 | padTop, |
| 369 | padRight, |
| 370 | padBottom, |
| 371 | strideX, |
| 372 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 373 | } |
| 374 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 375 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 376 | armnn::IWorkloadFactory& workloadFactory, |
| 377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 378 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 379 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 381 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 382 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 383 | } |
| 384 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 385 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 386 | armnn::IWorkloadFactory& workloadFactory, |
| 387 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 388 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 389 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 390 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 391 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 392 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | } |
| 394 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 395 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 396 | armnn::IWorkloadFactory& workloadFactory, |
| 397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 398 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 399 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 401 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 402 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 403 | } |
| 404 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 406 | armnn::IWorkloadFactory& workloadFactory, |
| 407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 408 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 410 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 411 | workloadFactory, |
| 412 | memoryManager, |
| 413 | 0.f, |
| 414 | 0, |
| 415 | biasEnabled, |
| 416 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 417 | } |
| 418 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 419 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 420 | armnn::IWorkloadFactory& workloadFactory, |
| 421 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 422 | bool biasEnabled, |
| 423 | const armnn::DataLayout layout) |
| 424 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 425 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 426 | workloadFactory, |
| 427 | memoryManager, |
| 428 | 0.f, |
| 429 | 0, |
| 430 | biasEnabled, |
| 431 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 432 | } |
| 433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 434 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 435 | armnn::IWorkloadFactory& workloadFactory, |
| 436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 437 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 438 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 440 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 441 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 442 | } |
| 443 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 444 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 445 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 446 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 447 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 448 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 449 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 450 | float qScale, |
| 451 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 453 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 454 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 455 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 456 | QuantizedVector<T>(qScale, qOffset, { |
| 457 | 11,21,31, |
| 458 | 12,22,32, |
| 459 | 13,23,33 |
| 460 | }))); |
| 461 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 462 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 463 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 464 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 465 | QuantizedVector<T>(qScale, qOffset, { |
| 466 | -11,-21, |
| 467 | -12,-22, |
| 468 | }))); |
| 469 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 470 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 471 | // Manually calculated like this: |
| 472 | //[-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 ..] |
| 473 | //[-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 ..] |
| 474 | //[-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 ..] |
| 475 | //[-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 ..] |
| 476 | //[-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 ..] |
| 477 | //[-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 ..] |
| 478 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 479 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 480 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 481 | QuantizedVector<T>(qScale, qOffset, { |
| 482 | 0, 0, 0, 0, 0, 0, |
| 483 | -242, -594, -934, -372, 0, 0, |
| 484 | -495, -1190, -1850, -725, 0, 0, |
| 485 | -538, -1256, -1916, -748, 0, 0, |
| 486 | -273, -626, -946, -363, 0, 0, |
| 487 | 0, 0, 0, 0, 0, 0, |
| 488 | 0, 0, 0, 0, 0, 0, |
| 489 | 0, 0, 0, 0, 0, 0 |
| 490 | }))); |
| 491 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 492 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 493 | workloadFactory, |
| 494 | memoryManager, |
| 495 | input, |
| 496 | kernel, |
| 497 | GetBias2<ArmnnBType>(false, qScale, qOffset), |
| 498 | expectedOutput, |
| 499 | qScale, |
| 500 | qOffset, |
| 501 | layout, |
| 502 | 1, // Padding left. |
| 503 | 2, // Padding top. |
| 504 | 3, // Padding right. |
| 505 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | } |
| 507 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 508 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 509 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 510 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 511 | armnn::IWorkloadFactory& workloadFactory, |
| 512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 513 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 514 | float qScale, |
| 515 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 516 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 517 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 518 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 519 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 520 | QuantizedVector<T>(qScale, qOffset, { |
| 521 | 11,21,31,41,51, |
| 522 | 12,22,32,42,52, |
| 523 | 13,23,33,43,53, |
| 524 | 14,24,34,44,54, |
| 525 | 15,25,35,45,55, |
| 526 | }))); |
| 527 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 528 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 529 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 530 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 531 | QuantizedVector<T>(qScale, qOffset, { |
| 532 | -11,-21,-31,-41, |
| 533 | -12,-22,-32,-42, |
| 534 | -13,-23,-33,-43, |
| 535 | -14,-24,-34,-44, |
| 536 | }))); |
| 537 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 538 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 539 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 540 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 541 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 542 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 543 | -7140, -10580, -13940, -9300, -5230, |
| 544 | -9590, -14120, -18520, -12290, -6860, |
| 545 | -9980, -14560, -18960, -12560, -7000, |
| 546 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 547 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 548 | }))); |
| 549 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 550 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 551 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 552 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 553 | input, |
| 554 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 555 | GetBias2<ArmnnBType>(false, qScale, qOffset), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 556 | expectedOutput, |
| 557 | qScale, |
| 558 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 559 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 560 | 1, // Padding left. |
| 561 | 1, // Padding top. |
| 562 | 2, // Padding right. |
| 563 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 564 | } |
| 565 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 566 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 567 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 568 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 569 | armnn::IWorkloadFactory& workloadFactory, |
| 570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 571 | float qScale, |
| 572 | int32_t qOffset, |
| 573 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 574 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 575 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 576 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 577 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 578 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 579 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 580 | 0, 1, 2, 3, 4, |
| 581 | 5, 6, 7, 8, 9, |
| 582 | 10, 11, 12, 13, 14, |
| 583 | 15, 16, 17, 18, 19, |
| 584 | 20, 21, 22, 23, 24, |
| 585 | |
| 586 | 25, 26, 27, 28, 29, |
| 587 | 30, 31, 32, 33, 34, |
| 588 | 35, 36, 37, 38, 39, |
| 589 | 40, 41, 42, 43, 44, |
| 590 | 45, 46, 47, 48, 49 |
| 591 | }))); |
| 592 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 593 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 594 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 595 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 596 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 597 | 32, 31, 30, 29, |
| 598 | 28, 27, 26, 25, |
| 599 | 24, 23, 22, 21, |
| 600 | 20, 19, 18, 17, |
| 601 | |
| 602 | 16, 15, 14, 13, |
| 603 | 12, 11, 10, 9, |
| 604 | 8, 7, 6, 5, |
| 605 | 4, 3, 2, 1 |
| 606 | }))); |
| 607 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 608 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 609 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 610 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 611 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 612 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 613 | 1062, 1580, 1850, 1530, 1117, |
| 614 | 2140, 3108, 3500, 2842, 2042, |
| 615 | 3580, 5068, 5460, 4342, 3062, |
| 616 | 3618, 5072, 5390, 4248, 2971, |
| 617 | 3074, 4282, 4510, 3533, 2457, |
| 618 | 1550, 2284, 2362, 1955, 1428, |
| 619 | 2910, 4206, 4342, 3528, 2536, |
| 620 | 3390, 4886, 5022, 4068, 2916, |
| 621 | 3566, 5056, 5182, 4133, 2922, |
| 622 | 3100, 4352, 4452, 3517, 2465 |
| 623 | }))); |
| 624 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 625 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 626 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 627 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 628 | input, |
| 629 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 630 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 631 | expectedOutput, |
| 632 | qScale, |
| 633 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 634 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 635 | 1, // Padding left. |
| 636 | 1, // Padding top. |
| 637 | 2, // Padding right. |
| 638 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 639 | 1, // strideX |
| 640 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 641 | } |
| 642 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 643 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 644 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 645 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 646 | armnn::IWorkloadFactory& workloadFactory, |
| 647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 648 | float qScale, |
| 649 | int32_t qOffset, |
| 650 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 651 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 652 | armnn::TensorInfo inputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 653 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 654 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 655 | 0, 25, |
| 656 | 1, 26, |
| 657 | 2, 27, |
| 658 | 3, 28, |
| 659 | 4, 29, |
| 660 | |
| 661 | 5, 30, |
| 662 | 6, 31, |
| 663 | 7, 32, |
| 664 | 8, 33, |
| 665 | 9, 34, |
| 666 | |
| 667 | 10, 35, |
| 668 | 11, 36, |
| 669 | 12, 37, |
| 670 | 13, 38, |
| 671 | 14, 39, |
| 672 | |
| 673 | 15, 40, |
| 674 | 16, 41, |
| 675 | 17, 42, |
| 676 | 18, 43, |
| 677 | 19, 44, |
| 678 | |
| 679 | 20, 45, |
| 680 | 21, 46, |
| 681 | 22, 47, |
| 682 | 23, 48, |
| 683 | 24, 49 |
| 684 | }))); |
| 685 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 686 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 687 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 688 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 689 | 32, 31, 30, 29, |
| 690 | 28, 27, 26, 25, |
| 691 | 24, 23, 22, 21, |
| 692 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 693 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 694 | 16, 15, 14, 13, |
| 695 | 12, 11, 10, 9, |
| 696 | 8, 7, 6, 5, |
| 697 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 698 | }))); |
| 699 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 700 | armnn::TensorInfo outputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 701 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 702 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 703 | 1062, 1550, |
| 704 | 1580, 2284, |
| 705 | 1850, 2362, |
| 706 | 1530, 1955, |
| 707 | 1117, 1428, |
| 708 | |
| 709 | 2140, 2910, |
| 710 | 3108, 4206, |
| 711 | 3500, 4342, |
| 712 | 2842, 3528, |
| 713 | 2042, 2536, |
| 714 | |
| 715 | 3580, 3390, |
| 716 | 5068, 4886, |
| 717 | 5460, 5022, |
| 718 | 4342, 4068, |
| 719 | 3062, 2916, |
| 720 | |
| 721 | 3618, 3566, |
| 722 | 5072, 5056, |
| 723 | 5390, 5182, |
| 724 | 4248, 4133, |
| 725 | 2971, 2922, |
| 726 | |
| 727 | 3074, 3100, |
| 728 | 4282, 4352, |
| 729 | 4510, 4452, |
| 730 | 3533, 3517, |
| 731 | 2457, 2465 |
| 732 | }))); |
| 733 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 734 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 735 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 736 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 737 | input, |
| 738 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 739 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 740 | expectedOutput, |
| 741 | qScale, |
| 742 | qOffset, |
| 743 | 1, // Padding left. |
| 744 | 1, // Padding top. |
| 745 | 2, // Padding right. |
| 746 | 2, // Padding bottom. |
| 747 | 1, // strideX |
| 748 | 1); // strideY |
| 749 | } |
| 750 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 751 | LayerTestResult<float, 4> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 752 | Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 753 | armnn::IWorkloadFactory& workloadFactory, |
| 754 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 755 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 756 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 757 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 758 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 759 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 760 | } |
| 761 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 762 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 763 | armnn::IWorkloadFactory& workloadFactory, |
| 764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 765 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 766 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 767 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 768 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 769 | } |
| 770 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 771 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 772 | armnn::IWorkloadFactory& workloadFactory, |
| 773 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 774 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 775 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 776 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 777 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 778 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 779 | } |
| 780 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 781 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 782 | armnn::IWorkloadFactory& workloadFactory, |
| 783 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 784 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 785 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 786 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 787 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 788 | } |
| 789 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 790 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 791 | armnn::IWorkloadFactory& workloadFactory, |
| 792 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 793 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 794 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 795 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 796 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 797 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 798 | } |
| 799 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 800 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 801 | armnn::IWorkloadFactory& workloadFactory, |
| 802 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 803 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 804 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 805 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 806 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 807 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 808 | } |
| 809 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 810 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 811 | armnn::IWorkloadFactory& workloadFactory, |
| 812 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 813 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 814 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 815 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 816 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 817 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 818 | } |
| 819 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 820 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 821 | armnn::IWorkloadFactory& workloadFactory, |
| 822 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 823 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 824 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 825 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 826 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 827 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 828 | } |
| 829 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 830 | LayerTestResult<float, 4> Convolution1dTest( |
| 831 | armnn::IWorkloadFactory& workloadFactory, |
| 832 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 833 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 834 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 835 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 836 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 837 | } |
| 838 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 839 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 840 | armnn::IWorkloadFactory& workloadFactory, |
| 841 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 842 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 843 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 844 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 845 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 846 | } |
| 847 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 848 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 849 | armnn::IWorkloadFactory& workloadFactory, |
| 850 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 851 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 852 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 853 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 854 | workloadFactory, memoryManager, refWorkloadFactory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 855 | } |
| 856 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 857 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 858 | armnn::IWorkloadFactory& workloadFactory, |
| 859 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 860 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 861 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 862 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 863 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 864 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 865 | } |
| 866 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 867 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 868 | armnn::IWorkloadFactory& workloadFactory, |
| 869 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 870 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 871 | const armnn::DataLayout layout) |
| 872 | { |
| 873 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 874 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 875 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 876 | |
| 877 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 878 | armnn::IWorkloadFactory& workloadFactory, |
| 879 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 880 | { |
| 881 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 882 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 883 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 884 | } |
| 885 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 886 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 887 | armnn::IWorkloadFactory& workloadFactory, |
| 888 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 889 | { |
| 890 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 891 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 892 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 893 | } |
| 894 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 895 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 896 | armnn::IWorkloadFactory& workloadFactory, |
| 897 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 898 | { |
| 899 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 900 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 901 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 902 | } |
| 903 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 904 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 905 | armnn::IWorkloadFactory& workloadFactory, |
| 906 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 907 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 908 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 909 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 910 | } |
| 911 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 912 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 913 | armnn::IWorkloadFactory& workloadFactory, |
| 914 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 915 | float beta) |
| 916 | { |
| 917 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 918 | } |
| 919 | |
| 920 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 921 | armnn::IWorkloadFactory& workloadFactory, |
| 922 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 923 | float beta) |
| 924 | { |
| 925 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 926 | } |
| 927 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 928 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 929 | armnn::IWorkloadFactory& workloadFactory, |
| 930 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 931 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 932 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 933 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 934 | } |
| 935 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 936 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 937 | armnn::IWorkloadFactory& workloadFactory, |
| 938 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 939 | float beta) |
| 940 | { |
| 941 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 942 | } |
| 943 | |
| 944 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 945 | armnn::IWorkloadFactory& workloadFactory, |
| 946 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 947 | float beta) |
| 948 | { |
| 949 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 950 | } |
| 951 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 952 | LayerTestResult<float,4> CompareNormalizationTest( |
| 953 | armnn::IWorkloadFactory& workloadFactory, |
| 954 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 955 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 956 | armnn::NormalizationAlgorithmChannel normChannel, |
| 957 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 958 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 959 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 960 | } |
| 961 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 962 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 963 | armnn::IWorkloadFactory& workloadFactory, |
| 964 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 965 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 966 | float beta) |
| 967 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 968 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 969 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 970 | } |
| 971 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 972 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 973 | armnn::IWorkloadFactory& workloadFactory, |
| 974 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 975 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 976 | float beta) |
| 977 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 978 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 979 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 980 | } |
| 981 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 982 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 983 | armnn::IWorkloadFactory& workloadFactory, |
| 984 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 985 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 986 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 987 | } |
| 988 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 989 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 990 | armnn::IWorkloadFactory& workloadFactory, |
| 991 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 992 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 993 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 994 | } |
| 995 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 996 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 997 | armnn::IWorkloadFactory& workloadFactory, |
| 998 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 999 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1000 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1001 | } |
| 1002 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1003 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 1004 | armnn::IWorkloadFactory& workloadFactory, |
| 1005 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1006 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1007 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1008 | } |
| 1009 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1010 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1011 | armnn::IWorkloadFactory& workloadFactory, |
| 1012 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1013 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1014 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1015 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1016 | { 2., 3., 3., 4. })); |
| 1017 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1018 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1019 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1020 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1021 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1022 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl( |
| 1023 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1024 | } |
| 1025 | |
| 1026 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1027 | armnn::IWorkloadFactory& workloadFactory, |
| 1028 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1029 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1030 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1031 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1032 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1033 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 1034 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1035 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1036 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1037 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1038 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1039 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1040 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1041 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1042 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 1043 | 0.02168f})); |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 1044 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl(workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1045 | } |
| 1046 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1047 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 1048 | armnn::IWorkloadFactory& workloadFactory, |
| 1049 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1050 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1051 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1052 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1053 | {2., 3., 3., 4.})); |
| 1054 | |
| 1055 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1056 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1057 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1058 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1059 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 1060 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1061 | return LstmNoCifgNoPeepholeNoProjectionTestImpl( |
| 1062 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1063 | } |
| 1064 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1065 | LayerTestResult<float,3> MergerTest( |
| 1066 | armnn::IWorkloadFactory& workloadFactory, |
| 1067 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1068 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1069 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1070 | unsigned int outputHeight = 6; |
| 1071 | unsigned int outputChannels = 3; |
| 1072 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1073 | unsigned int inputWidth1 = 3; |
| 1074 | unsigned int inputHeight1 = 6; |
| 1075 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1076 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1077 | unsigned int inputWidth2 = 3; |
| 1078 | unsigned int inputHeight2 = 6; |
| 1079 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1080 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1081 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1082 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 1083 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 1084 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1085 | |
| 1086 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 1087 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1088 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1089 | { |
| 1090 | 1.0f, 2.0f, 3.0f, |
| 1091 | 4.0f, 5.0f, 6.0f, |
| 1092 | 7.0f, 8.0f, 9.0f, |
| 1093 | 10.0f, 11.0f, 12.0f, |
| 1094 | 13.0f, 14.0f, 15.0f, |
| 1095 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1096 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1097 | 19.0f, 20.0f, 21.0f, |
| 1098 | 22.0f, 23.0f, 24.0f, |
| 1099 | 25.0f, 26.0f, 27.0f, |
| 1100 | 28.0f, 29.0f, 30.0f, |
| 1101 | 31.0f, 32.0f, 33.0f, |
| 1102 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1103 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1104 | 37.0f, 38.0f, 39.0f, |
| 1105 | 40.0f, 41.0f, 42.0f, |
| 1106 | 43.0f, 44.0f, 45.0f, |
| 1107 | 46.0f, 47.0f, 48.0f, |
| 1108 | 49.0f, 50.0f, 51.0f, |
| 1109 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1110 | }) |
| 1111 | ); |
| 1112 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1113 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 1114 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1115 | 1.0f, 2.0f, 3.0f, |
| 1116 | 4.0f, 5.0f, 6.0f, |
| 1117 | 7.0f, 8.0f, 9.0f, |
| 1118 | 10.0f, 11.0f, 12.0f, |
| 1119 | 13.0f, 14.0f, 15.0f, |
| 1120 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1121 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1122 | 19.0f, 20.0f, 21.0f, |
| 1123 | 22.0f, 23.0f, 24.0f, |
| 1124 | 25.0f, 26.0f, 27.0f, |
| 1125 | 28.0f, 29.0f, 30.0f, |
| 1126 | 31.0f, 32.0f, 33.0f, |
| 1127 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1128 | }) |
| 1129 | ); |
| 1130 | |
| 1131 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 1132 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1133 | 37.0f, 38.0f, 39.0f, |
| 1134 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1135 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1136 | 46.0f, 47.0f, 48.0f, |
| 1137 | 49.0f, 50.0f, 51.0f, |
| 1138 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1139 | }) |
| 1140 | ); |
| 1141 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1142 | 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] | 1143 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 1144 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1145 | 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] | 1146 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 1147 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1148 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1149 | |
| 1150 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 1151 | |
| 1152 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 1153 | subTensorsSupported ? |
| 1154 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 1155 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1156 | |
| 1157 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 1158 | subTensorsSupported ? |
| 1159 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 1160 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1161 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1162 | armnn::MergerQueueDescriptor data; |
| 1163 | armnn::WorkloadInfo info; |
| 1164 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1165 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1166 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1167 | |
| 1168 | data.m_ViewOrigins.push_back(window1); |
| 1169 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1170 | |
| 1171 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(data, info); |
| 1172 | |
| 1173 | inputHandle1->Allocate(); |
| 1174 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1175 | outputHandle->Allocate(); |
| 1176 | |
| 1177 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 1178 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1179 | |
| 1180 | workload->Execute(); |
| 1181 | |
| 1182 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 1183 | |
| 1184 | return ret; |
| 1185 | } |
| 1186 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1187 | LayerTestResult<float,4> AdditionTest( |
| 1188 | armnn::IWorkloadFactory& workloadFactory, |
| 1189 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1190 | { |
| 1191 | unsigned int batchSize = 2; |
| 1192 | unsigned int channels = 2; |
| 1193 | unsigned int height = 2; |
| 1194 | unsigned int width = 3; |
| 1195 | |
| 1196 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1197 | armnn::TensorInfo outputTensorInfo; |
| 1198 | |
| 1199 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1200 | |
| 1201 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1202 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1203 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1204 | |
| 1205 | |
| 1206 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 1207 | { |
| 1208 | 0.0f, 2.0f, 1.0f, |
| 1209 | 0.2f, 1.0f, 2.0f, |
| 1210 | |
| 1211 | 1.0f, 2.0f, 1.0f, |
| 1212 | 0.2f, 1.0f, 2.0f, |
| 1213 | |
| 1214 | 0.0f, 2.0f, 1.0f, |
| 1215 | 4.2f, 1.0f, 2.0f, |
| 1216 | |
| 1217 | 0.0f, 0.0f, 1.0f, |
| 1218 | 0.2f, 1.0f, 2.0f, |
| 1219 | })); |
| 1220 | |
| 1221 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 1222 | { |
| 1223 | 1.0f, 2.0f, 1.0f, |
| 1224 | 0.0f, 1.0f, 2.0f, |
| 1225 | |
| 1226 | 1.0f, 2.0f, -2.0f, |
| 1227 | 0.2f, 1.0f, 2.0f, |
| 1228 | |
| 1229 | 0.0f, 2.0f, 1.0f, |
| 1230 | 4.2f, 0.0f, -3.0f, |
| 1231 | |
| 1232 | 0.0f, 0.0f, 1.0f, |
| 1233 | 0.7f, 1.0f, 5.0f, |
| 1234 | })); |
| 1235 | |
| 1236 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1237 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 1238 | { |
| 1239 | 1.0f, 4.0f, 2.0f, |
| 1240 | 0.2f, 2.0f, 4.0f, |
| 1241 | |
| 1242 | 2.0f, 4.0f, -1.0f, |
| 1243 | 0.4f, 2.0f, 4.0f, |
| 1244 | |
| 1245 | 0.0f, 4.0f, 2.0f, |
| 1246 | 8.4f, 1.0f, -1.0f, |
| 1247 | |
| 1248 | 0.0f, 0.0f, 2.0f, |
| 1249 | 0.9f, 2.0f, 7.0f, |
| 1250 | })); |
| 1251 | |
| 1252 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1253 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1254 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1255 | |
| 1256 | armnn::AdditionQueueDescriptor data; |
| 1257 | armnn::WorkloadInfo info; |
| 1258 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1259 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1260 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1261 | |
| 1262 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1263 | |
| 1264 | inputHandle1->Allocate(); |
| 1265 | inputHandle2->Allocate(); |
| 1266 | outputHandle->Allocate(); |
| 1267 | |
| 1268 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1269 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1270 | |
| 1271 | workload->Execute(); |
| 1272 | |
| 1273 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1274 | |
| 1275 | return ret; |
| 1276 | } |
| 1277 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1278 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1279 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 1280 | armnn::IWorkloadFactory& workloadFactory, |
| 1281 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1282 | float qScale, |
| 1283 | int32_t qOffset) |
| 1284 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1285 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 1286 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 1287 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1288 | |
| 1289 | if (armnn::IsQuantizedType<T>()) |
| 1290 | { |
| 1291 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1292 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1293 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1294 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1295 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1296 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1297 | } |
| 1298 | |
| 1299 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1300 | { |
| 1301 | 0.0f, |
| 1302 | 1.0f, |
| 1303 | |
| 1304 | 2.0f, |
| 1305 | 3.0f, |
| 1306 | |
| 1307 | 4.0f, |
| 1308 | 5.0f, |
| 1309 | })); |
| 1310 | |
| 1311 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1312 | { |
| 1313 | 0.5f, 1.5f, 2.5f, |
| 1314 | 3.5f, 4.5f, 5.5f, |
| 1315 | })); |
| 1316 | |
| 1317 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1318 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1319 | { |
| 1320 | 0.5f, 1.5f, 2.5f, |
| 1321 | 4.5f, 5.5f, 6.5f, |
| 1322 | |
| 1323 | 2.5f, 3.5f, 4.5f, |
| 1324 | 6.5f, 7.5f, 8.5f, |
| 1325 | |
| 1326 | 4.5f, 5.5f, 6.5f, |
| 1327 | 8.5f, 9.5f, 10.5f, |
| 1328 | })); |
| 1329 | |
| 1330 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1331 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1332 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1333 | |
| 1334 | armnn::AdditionQueueDescriptor data; |
| 1335 | armnn::WorkloadInfo info; |
| 1336 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1337 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1338 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1339 | |
| 1340 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1341 | |
| 1342 | inputHandle1->Allocate(); |
| 1343 | inputHandle2->Allocate(); |
| 1344 | outputHandle->Allocate(); |
| 1345 | |
| 1346 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1347 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1348 | |
| 1349 | workload->Execute(); |
| 1350 | |
| 1351 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1352 | |
| 1353 | return ret; |
| 1354 | } |
| 1355 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1356 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1357 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 1358 | armnn::IWorkloadFactory& workloadFactory, |
| 1359 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1360 | float qScale, |
| 1361 | int32_t qOffset) |
| 1362 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1363 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 1364 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 1365 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1366 | |
| 1367 | if (armnn::IsQuantizedType<T>()) |
| 1368 | { |
| 1369 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1370 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1371 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1372 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1373 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1374 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1375 | } |
| 1376 | |
| 1377 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1378 | { |
| 1379 | 0.0f, 1.0f, 2.0f, |
| 1380 | 3.0f, 4.0f, 5.0f, |
| 1381 | 6.0f, 7.0f, 8.0f, |
| 1382 | 9.0f, 10.0f, 11.0f, |
| 1383 | 12.0f, 13.0f, 14.0f, |
| 1384 | 15.0f, 16.0f, 17.0f, |
| 1385 | })); |
| 1386 | |
| 1387 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1388 | { |
| 1389 | 0.5f, |
| 1390 | })); |
| 1391 | |
| 1392 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1393 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1394 | { |
| 1395 | 0.5f, 1.5f, 2.5f, |
| 1396 | 3.5f, 4.5f, 5.5f, |
| 1397 | 6.5f, 7.5f, 8.5f, |
| 1398 | 9.5f, 10.5f, 11.5f, |
| 1399 | 12.5f, 13.5f, 14.5f, |
| 1400 | 15.5f, 16.5f, 17.5f, |
| 1401 | })); |
| 1402 | |
| 1403 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1404 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1405 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1406 | |
| 1407 | armnn::AdditionQueueDescriptor data; |
| 1408 | armnn::WorkloadInfo info; |
| 1409 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1410 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1411 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1412 | |
| 1413 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1414 | |
| 1415 | inputHandle1->Allocate(); |
| 1416 | inputHandle2->Allocate(); |
| 1417 | outputHandle->Allocate(); |
| 1418 | |
| 1419 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1420 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1421 | |
| 1422 | workload->Execute(); |
| 1423 | |
| 1424 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1425 | |
| 1426 | return ret; |
| 1427 | } |
| 1428 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1429 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 1430 | armnn::IWorkloadFactory& workloadFactory, |
| 1431 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1432 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1433 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 1434 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1435 | } |
| 1436 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1437 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 1438 | armnn::IWorkloadFactory& workloadFactory, |
| 1439 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1440 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1441 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1442 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1443 | } |
| 1444 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1445 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 1446 | armnn::IWorkloadFactory& workloadFactory, |
| 1447 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1448 | { |
| 1449 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1450 | workloadFactory, memoryManager, 2.f, 0); |
| 1451 | } |
| 1452 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1453 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 1454 | armnn::IWorkloadFactory& workloadFactory, |
| 1455 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1456 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1457 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 1458 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1459 | } |
| 1460 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1461 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 1462 | armnn::IWorkloadFactory& workloadFactory, |
| 1463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1464 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1465 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1466 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1467 | } |
| 1468 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1469 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 1470 | armnn::IWorkloadFactory& workloadFactory, |
| 1471 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1472 | { |
| 1473 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1474 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 1475 | } |
| 1476 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1477 | LayerTestResult<float,4> CompareAdditionTest( |
| 1478 | armnn::IWorkloadFactory& workloadFactory, |
| 1479 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1480 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1481 | { |
| 1482 | unsigned int batchSize = 4; |
| 1483 | unsigned int channels = 1; |
| 1484 | unsigned int height = 2; |
| 1485 | unsigned int width = 3; |
| 1486 | |
| 1487 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1488 | armnn::TensorInfo outputTensorInfo; |
| 1489 | |
| 1490 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1491 | |
| 1492 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1493 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1494 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1495 | |
| 1496 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 1497 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 1498 | |
| 1499 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1500 | |
| 1501 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1502 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1503 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1504 | |
| 1505 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1506 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1507 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1508 | |
| 1509 | armnn::AdditionQueueDescriptor data; |
| 1510 | armnn::WorkloadInfo info; |
| 1511 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1512 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1513 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1514 | |
| 1515 | armnn::AdditionQueueDescriptor refData = data; |
| 1516 | armnn::WorkloadInfo refInfo = info; |
| 1517 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 1518 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 1519 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 1520 | |
| 1521 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1522 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 1523 | |
| 1524 | inputHandle1->Allocate(); |
| 1525 | inputHandle2->Allocate(); |
| 1526 | outputHandle->Allocate(); |
| 1527 | inputHandle1Ref->Allocate(); |
| 1528 | inputHandle2Ref->Allocate(); |
| 1529 | outputHandleRef->Allocate(); |
| 1530 | |
| 1531 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1532 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1533 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 1534 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 1535 | |
| 1536 | workload->Execute(); |
| 1537 | workloadRef->Execute(); |
| 1538 | |
| 1539 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1540 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 1541 | |
| 1542 | return ret; |
| 1543 | } |
| 1544 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1545 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1546 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1547 | LayerTestResult<T, 4> DivisionTestHelper( |
| 1548 | armnn::IWorkloadFactory& workloadFactory, |
| 1549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1550 | const unsigned int shape0[4], |
| 1551 | const std::vector<T>& values0, |
| 1552 | float scale0, |
| 1553 | int32_t offset0, |
| 1554 | const unsigned int shape1[4], |
| 1555 | const std::vector<T> & values1, |
| 1556 | float scale1, |
| 1557 | int32_t offset1, |
| 1558 | const unsigned int outShape[4], |
| 1559 | const std::vector<T> & outValues, |
| 1560 | float outScale, |
| 1561 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1562 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1563 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 1564 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 1565 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1566 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1567 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 1568 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1569 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1570 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 1571 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1572 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1573 | outputTensorInfo.SetQuantizationScale(outScale); |
| 1574 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1575 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1576 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 1577 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1578 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1579 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1580 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1581 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1582 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 1583 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1584 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1585 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1586 | armnn::DivisionQueueDescriptor data; |
| 1587 | armnn::WorkloadInfo info; |
| 1588 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 1589 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1590 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1591 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1592 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1593 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1594 | inputHandle0->Allocate(); |
| 1595 | inputHandle1->Allocate(); |
| 1596 | outputHandle->Allocate(); |
| 1597 | |
| 1598 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 1599 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1600 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1601 | workload->Execute(); |
| 1602 | |
| 1603 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 1604 | |
| 1605 | return result; |
| 1606 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1607 | } // anonymous namespace |
| 1608 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1609 | LayerTestResult<float,4> DivisionByZeroTest( |
| 1610 | armnn::IWorkloadFactory& workloadFactory, |
| 1611 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1612 | { |
| 1613 | const unsigned int width = 2; |
| 1614 | const unsigned int height = 2; |
| 1615 | const unsigned int channelCount = 2; |
| 1616 | const unsigned int batchSize = 2; |
| 1617 | |
| 1618 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1619 | |
| 1620 | std::vector<float> input0({ |
| 1621 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 1622 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 1623 | |
| 1624 | std::vector<float> input1({ |
| 1625 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 1626 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 1627 | |
| 1628 | std::vector<float> output({ |
| 1629 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 1630 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 1631 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1632 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1633 | memoryManager, |
| 1634 | shape, input0, 1.0f, 0, |
| 1635 | shape, input1, 1.0f, 0, |
| 1636 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1637 | } |
| 1638 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1639 | LayerTestResult<float,4> DivisionTest( |
| 1640 | armnn::IWorkloadFactory& workloadFactory, |
| 1641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1642 | { |
| 1643 | const unsigned int width = 2; |
| 1644 | const unsigned int height = 2; |
| 1645 | const unsigned int channelCount = 2; |
| 1646 | const unsigned int batchSize = 2; |
| 1647 | |
| 1648 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1649 | |
| 1650 | std::vector<float> input0({ |
| 1651 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 1652 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1653 | |
| 1654 | std::vector<float> input1({ |
| 1655 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 1656 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1657 | |
| 1658 | std::vector<float> output({ |
| 1659 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 1660 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 1661 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1662 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1663 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1664 | memoryManager, |
| 1665 | shape, input0, 1.0f, 0, |
| 1666 | shape, input1, 1.0f, 0, |
| 1667 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1668 | } |
| 1669 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1670 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 1671 | armnn::IWorkloadFactory& workloadFactory, |
| 1672 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1673 | { |
| 1674 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1675 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1676 | |
| 1677 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1678 | std::vector<float> input1({ 2 }); |
| 1679 | |
| 1680 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1681 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1682 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1683 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1684 | memoryManager, |
| 1685 | shape0, input0, 1.0f, 0, |
| 1686 | shape1, input1, 1.0f, 0, |
| 1687 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1688 | } |
| 1689 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1690 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 1691 | armnn::IWorkloadFactory& workloadFactory, |
| 1692 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1693 | { |
| 1694 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1695 | std::vector<float> input0({ |
| 1696 | 1, 4, 3, 8, 5, 12, |
| 1697 | 7, 16, 9, 20, 11, 24, |
| 1698 | 13, 28, 15, 32, 17, 36}); |
| 1699 | |
| 1700 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1701 | std::vector<float> input1({ 1, 2 }); |
| 1702 | |
| 1703 | std::vector<float> output({ |
| 1704 | 1, 2, 3, 4, 5, 6, |
| 1705 | 7, 8, 9, 10, 11, 12, |
| 1706 | 13, 14, 15, 16, 17, 18}); |
| 1707 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1708 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1709 | memoryManager, |
| 1710 | shape0, input0, 1.0f, 0, |
| 1711 | shape1, input1, 1.0f, 0, |
| 1712 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1713 | } |
| 1714 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1715 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 1716 | armnn::IWorkloadFactory& workloadFactory, |
| 1717 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1718 | { |
| 1719 | const unsigned int width = 2; |
| 1720 | const unsigned int height = 2; |
| 1721 | const unsigned int channelCount = 2; |
| 1722 | const unsigned int batchSize = 2; |
| 1723 | |
| 1724 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1725 | |
| 1726 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 1727 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1728 | |
| 1729 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 1730 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1731 | |
| 1732 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 1733 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 1734 | |
| 1735 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1736 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1737 | memoryManager, |
| 1738 | shape, input0, 1.0f, 0, |
| 1739 | shape, input1, 1.0f, 0, |
| 1740 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1741 | } |
| 1742 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1743 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 1744 | armnn::IWorkloadFactory& workloadFactory, |
| 1745 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1746 | { |
| 1747 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1748 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1749 | |
| 1750 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1751 | std::vector<uint8_t> input1({ 2 }); |
| 1752 | |
| 1753 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1754 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1755 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1756 | memoryManager, |
| 1757 | shape0, input0, 1.0f, 0, |
| 1758 | shape1, input1, 1.0f, 0, |
| 1759 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1760 | } |
| 1761 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1762 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 1763 | armnn::IWorkloadFactory& workloadFactory, |
| 1764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1765 | { |
| 1766 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1767 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 1768 | 7, 16, 9, 20, 11, 24, |
| 1769 | 13, 28, 15, 32, 17, 36}); |
| 1770 | |
| 1771 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1772 | std::vector<uint8_t> input1({ 1, 2 }); |
| 1773 | |
| 1774 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 1775 | 7, 8, 9, 10, 11, 12, |
| 1776 | 13, 14, 15, 16, 17, 18}); |
| 1777 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1778 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1779 | memoryManager, |
| 1780 | shape0, input0, 1.0f, 0, |
| 1781 | shape1, input1, 1.0f, 0, |
| 1782 | shape0, output, 1.0f, 0); |
| 1783 | } |
| 1784 | |
| 1785 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 1786 | armnn::IWorkloadFactory& workloadFactory, |
| 1787 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1788 | { |
| 1789 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 1790 | |
| 1791 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 1792 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1793 | |
| 1794 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 1795 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1796 | |
| 1797 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 1798 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 1799 | |
| 1800 | |
| 1801 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 1802 | memoryManager, |
| 1803 | shape, input0, 1.0f, 0, |
| 1804 | shape, input1, 1.0f, 0, |
| 1805 | shape, output, 0.25f, 0); |
| 1806 | } |
| 1807 | |
| 1808 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 1809 | armnn::IWorkloadFactory& workloadFactory, |
| 1810 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1811 | { |
| 1812 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1813 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1814 | |
| 1815 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1816 | std::vector<int16_t> input1({ 2 }); |
| 1817 | |
| 1818 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1819 | |
| 1820 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 1821 | memoryManager, |
| 1822 | shape0, input0, 1.0f, 0, |
| 1823 | shape1, input1, 1.0f, 0, |
| 1824 | shape0, output, 1.0f, 0); |
| 1825 | } |
| 1826 | |
| 1827 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 1828 | armnn::IWorkloadFactory& workloadFactory, |
| 1829 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1830 | { |
| 1831 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1832 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 1833 | 7, 16, 9, 20, 11, 24, |
| 1834 | 13, 28, 15, 32, 17, 36}); |
| 1835 | |
| 1836 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1837 | std::vector<int16_t> input1({ 1, 2 }); |
| 1838 | |
| 1839 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 1840 | 7, 8, 9, 10, 11, 12, |
| 1841 | 13, 14, 15, 16, 17, 18}); |
| 1842 | |
| 1843 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 1844 | memoryManager, |
| 1845 | shape0, input0, 1.0f, 0, |
| 1846 | shape1, input1, 1.0f, 0, |
| 1847 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1848 | } |
| 1849 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1850 | template<typename DescriptorType> |
| 1851 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 1852 | const armnn::IWorkloadFactory& workloadFactory, |
| 1853 | const armnn::WorkloadInfo& info, |
| 1854 | const DescriptorType& descriptor) |
| 1855 | { |
| 1856 | return CreateWorkload(workloadFactory, info, descriptor); |
| 1857 | }; |
| 1858 | |
| 1859 | template<> |
| 1860 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 1861 | const armnn::IWorkloadFactory& workloadFactory, |
| 1862 | const armnn::WorkloadInfo& info, |
| 1863 | const armnn::MaximumQueueDescriptor& descriptor) |
| 1864 | { |
| 1865 | return workloadFactory.CreateMaximum(descriptor, info); |
| 1866 | } |
| 1867 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 1868 | template<> |
| 1869 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 1870 | const armnn::IWorkloadFactory& workloadFactory, |
| 1871 | const armnn::WorkloadInfo& info, |
| 1872 | const armnn::MinimumQueueDescriptor& descriptor) |
| 1873 | { |
| 1874 | return workloadFactory.CreateMinimum(descriptor, info); |
| 1875 | } |
| 1876 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1877 | template<> |
| 1878 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 1879 | const armnn::IWorkloadFactory& workloadFactory, |
| 1880 | const armnn::WorkloadInfo& info, |
| 1881 | const armnn::EqualQueueDescriptor& descriptor) |
| 1882 | { |
| 1883 | return workloadFactory.CreateEqual(descriptor, info); |
| 1884 | } |
| 1885 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 1886 | template<> |
| 1887 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 1888 | const armnn::IWorkloadFactory& workloadFactory, |
| 1889 | const armnn::WorkloadInfo& info, |
| 1890 | const armnn::GreaterQueueDescriptor& descriptor) |
| 1891 | { |
| 1892 | return workloadFactory.CreateGreater(descriptor, info); |
| 1893 | } |
| 1894 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1895 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1896 | |
| 1897 | template <typename Descriptor, |
| 1898 | armnn::DataType ArmnnTypeInput, |
| 1899 | armnn::DataType ArmnnTypeOutput, |
| 1900 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 1901 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 1902 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 1903 | armnn::IWorkloadFactory & workloadFactory, |
| 1904 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 1905 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 1906 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 1907 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 1908 | float qScale = 0.0f, int qOffset = 0) |
| 1909 | { |
| 1910 | const size_t dimensionCount = 4; |
| 1911 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 1912 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 1913 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 1914 | |
| 1915 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 1916 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 1917 | |
| 1918 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1919 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1920 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 1921 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1922 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1923 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1924 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1925 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1926 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1927 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1928 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1929 | |
| 1930 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 1931 | |
| 1932 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 1933 | { |
| 1934 | ret.compareBoolean = true; |
| 1935 | } |
| 1936 | |
| 1937 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 1938 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1939 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1940 | |
| 1941 | Descriptor data; |
| 1942 | armnn::WorkloadInfo info; |
| 1943 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 1944 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1945 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1946 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 1947 | |
| 1948 | inputHandle0->Allocate(); |
| 1949 | inputHandle1->Allocate(); |
| 1950 | outputHandle->Allocate(); |
| 1951 | |
| 1952 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 1953 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1954 | |
| 1955 | ExecuteWorkload(*workload, memoryManager); |
| 1956 | |
| 1957 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1958 | |
| 1959 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 1960 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 1961 | } |
| 1962 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 1963 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 1964 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 1965 | armnn::IWorkloadFactory & workloadFactory, |
| 1966 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 1967 | const unsigned int shape0[4], std::vector<T> values0, |
| 1968 | const unsigned int shape1[4], std::vector<T> values1, |
| 1969 | const unsigned int outShape[4], std::vector<T> outValues, |
| 1970 | float qScale = 0.0f, int qOffset = 0) |
| 1971 | { |
| 1972 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 1973 | (workloadFactory, |
| 1974 | memoryManager, |
| 1975 | shape0, |
| 1976 | values0, |
| 1977 | shape1, |
| 1978 | values1, |
| 1979 | outShape, |
| 1980 | outValues, |
| 1981 | qScale, |
| 1982 | qOffset); |
| 1983 | } |
| 1984 | } |
| 1985 | |
| 1986 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 1987 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 1988 | { |
| 1989 | const unsigned int width = 2; |
| 1990 | const unsigned int height = 2; |
| 1991 | const unsigned int channelCount = 2; |
| 1992 | const unsigned int batchSize = 2; |
| 1993 | |
| 1994 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1995 | |
| 1996 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 1997 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 1998 | |
| 1999 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2000 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2001 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2002 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 2003 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2004 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2005 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, 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); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2014 | } |
| 2015 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2016 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2017 | armnn::IWorkloadFactory& workloadFactory, |
| 2018 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2019 | { |
| 2020 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2021 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2022 | |
| 2023 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2024 | std::vector<float> input1({ 1 }); |
| 2025 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2026 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2027 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2028 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2029 | workloadFactory, |
| 2030 | memoryManager, |
| 2031 | shape0, |
| 2032 | input0, |
| 2033 | shape1, |
| 2034 | input1, |
| 2035 | shape0, |
| 2036 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2037 | } |
| 2038 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2039 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2040 | armnn::IWorkloadFactory& workloadFactory, |
| 2041 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2042 | { |
| 2043 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2044 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2045 | |
| 2046 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2047 | 7, 8, 9, 10, 11, 12 }); |
| 2048 | |
| 2049 | std::vector<float> input1({ 1, 2, 3}); |
| 2050 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2051 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 2052 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2053 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2054 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2055 | workloadFactory, |
| 2056 | memoryManager, |
| 2057 | shape0, |
| 2058 | input0, |
| 2059 | shape1, |
| 2060 | input1, |
| 2061 | shape0, |
| 2062 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2063 | } |
| 2064 | |
| 2065 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 2066 | armnn::IWorkloadFactory& workloadFactory, |
| 2067 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2068 | { |
| 2069 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2070 | |
| 2071 | // See dequantized values to the right. |
| 2072 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2073 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2074 | |
| 2075 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2076 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2077 | |
| 2078 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2079 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2080 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2081 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2082 | armnn::DataType::QuantisedAsymm8, |
| 2083 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2084 | workloadFactory, |
| 2085 | memoryManager, |
| 2086 | shape, |
| 2087 | input0, |
| 2088 | shape, |
| 2089 | input1, |
| 2090 | shape, |
| 2091 | output, |
| 2092 | 1.0f, |
| 2093 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2094 | } |
| 2095 | |
| 2096 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 2097 | armnn::IWorkloadFactory& workloadFactory, |
| 2098 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2099 | { |
| 2100 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2101 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2102 | |
| 2103 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2104 | 7, 8, 9, 10, 11, 12 }); |
| 2105 | |
| 2106 | std::vector<uint8_t> input1({ 1 }); |
| 2107 | |
| 2108 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 2109 | 0, 0, 0, 0, 0, 0 }); |
| 2110 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2111 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2112 | armnn::DataType::QuantisedAsymm8, |
| 2113 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2114 | workloadFactory, |
| 2115 | memoryManager, |
| 2116 | shape0, |
| 2117 | input0, |
| 2118 | shape1, |
| 2119 | input1, |
| 2120 | shape0, |
| 2121 | output, |
| 2122 | 1.0f, |
| 2123 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2124 | } |
| 2125 | |
| 2126 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 2127 | armnn::IWorkloadFactory& workloadFactory, |
| 2128 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2129 | { |
| 2130 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2131 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2132 | |
| 2133 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2134 | 7, 8, 9, 10, 11, 12 }); |
| 2135 | |
| 2136 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2137 | |
| 2138 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 2139 | 0, 0, 0, 0, 0, 0 }); |
| 2140 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2141 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2142 | armnn::DataType::QuantisedAsymm8, |
| 2143 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2144 | workloadFactory, |
| 2145 | memoryManager, |
| 2146 | shape0, |
| 2147 | input0, |
| 2148 | shape1, |
| 2149 | input1, |
| 2150 | shape0, |
| 2151 | output, |
| 2152 | 1.0f, |
| 2153 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2154 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2155 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2156 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2158 | { |
| 2159 | const unsigned int width = 2; |
| 2160 | const unsigned int height = 2; |
| 2161 | const unsigned int channelCount = 2; |
| 2162 | const unsigned int batchSize = 2; |
| 2163 | |
| 2164 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2165 | |
| 2166 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2167 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2168 | |
| 2169 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2170 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2171 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2172 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2173 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2174 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2175 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, 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); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2184 | } |
| 2185 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2186 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2187 | armnn::IWorkloadFactory& workloadFactory, |
| 2188 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2189 | { |
| 2190 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2191 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2192 | |
| 2193 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2194 | std::vector<float> input1({ 1 }); |
| 2195 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2196 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2197 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2198 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2199 | workloadFactory, |
| 2200 | memoryManager, |
| 2201 | shape0, |
| 2202 | input0, |
| 2203 | shape1, |
| 2204 | input1, |
| 2205 | shape0, |
| 2206 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2207 | } |
| 2208 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2209 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2210 | armnn::IWorkloadFactory& workloadFactory, |
| 2211 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2212 | { |
| 2213 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2214 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2215 | |
| 2216 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 2217 | 7, 8, 9, 10, 11, 12 }); |
| 2218 | |
| 2219 | std::vector<float> input1({ 1, 3, 2}); |
| 2220 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2221 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 2222 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2223 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2224 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2225 | workloadFactory, |
| 2226 | memoryManager, |
| 2227 | shape0, |
| 2228 | input0, |
| 2229 | shape1, |
| 2230 | input1, |
| 2231 | shape0, |
| 2232 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2233 | } |
| 2234 | |
| 2235 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 2236 | armnn::IWorkloadFactory& workloadFactory, |
| 2237 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2238 | { |
| 2239 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2240 | |
| 2241 | // See dequantized values to the right. |
| 2242 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2243 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2244 | |
| 2245 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2246 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 2247 | |
| 2248 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 2249 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2250 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2251 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2252 | armnn::DataType::QuantisedAsymm8, |
| 2253 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2254 | workloadFactory, |
| 2255 | memoryManager, |
| 2256 | shape, |
| 2257 | input0, |
| 2258 | shape, |
| 2259 | input1, |
| 2260 | shape, |
| 2261 | output, |
| 2262 | 1.0f, |
| 2263 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2264 | } |
| 2265 | |
| 2266 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 2267 | armnn::IWorkloadFactory& workloadFactory, |
| 2268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2269 | { |
| 2270 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2271 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2272 | |
| 2273 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2274 | 7, 8, 9, 10, 11, 12 }); |
| 2275 | |
| 2276 | std::vector<uint8_t> input1({ 1 }); |
| 2277 | |
| 2278 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 2279 | 1, 1, 1, 1, 1, 1 }); |
| 2280 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2281 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2282 | armnn::DataType::QuantisedAsymm8, |
| 2283 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2284 | workloadFactory, |
| 2285 | memoryManager, |
| 2286 | shape0, |
| 2287 | input0, |
| 2288 | shape1, |
| 2289 | input1, |
| 2290 | shape0, |
| 2291 | output, |
| 2292 | 1.0f, |
| 2293 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2294 | } |
| 2295 | |
| 2296 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 2297 | armnn::IWorkloadFactory& workloadFactory, |
| 2298 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2299 | { |
| 2300 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2301 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2302 | |
| 2303 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2304 | 7, 8, 9, 10, 11, 12 }); |
| 2305 | |
| 2306 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2307 | |
| 2308 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 2309 | 1, 1, 1, 1, 1, 1 }); |
| 2310 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2311 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2312 | armnn::DataType::QuantisedAsymm8, |
| 2313 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2314 | workloadFactory, |
| 2315 | memoryManager, |
| 2316 | shape0, |
| 2317 | input0, |
| 2318 | shape1, |
| 2319 | input1, |
| 2320 | shape0, |
| 2321 | output, |
| 2322 | 1.0f, |
| 2323 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2324 | } |
| 2325 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2326 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2327 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2328 | { |
| 2329 | const unsigned int width = 2; |
| 2330 | const unsigned int height = 2; |
| 2331 | const unsigned int channelCount = 2; |
| 2332 | const unsigned int batchSize = 2; |
| 2333 | |
| 2334 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2335 | |
| 2336 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2337 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2338 | |
| 2339 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2340 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2341 | |
| 2342 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 2343 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2344 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2345 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2346 | workloadFactory, |
| 2347 | memoryManager, |
| 2348 | shape, |
| 2349 | input0, |
| 2350 | shape, |
| 2351 | input1, |
| 2352 | shape, |
| 2353 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2354 | } |
| 2355 | |
| 2356 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 2357 | armnn::IWorkloadFactory& workloadFactory, |
| 2358 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2359 | { |
| 2360 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2361 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2362 | |
| 2363 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2364 | std::vector<float> input1({ 2 }); |
| 2365 | |
| 2366 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 2367 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2368 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2369 | workloadFactory, |
| 2370 | memoryManager, |
| 2371 | shape0, |
| 2372 | input0, |
| 2373 | shape1, |
| 2374 | input1, |
| 2375 | shape0, |
| 2376 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2377 | } |
| 2378 | |
| 2379 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 2380 | armnn::IWorkloadFactory& workloadFactory, |
| 2381 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2382 | { |
| 2383 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2384 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2385 | |
| 2386 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2387 | 7, 8, 9, 10, 11, 12 }); |
| 2388 | |
| 2389 | std::vector<float> input1({ 1, 2, 3}); |
| 2390 | |
| 2391 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2392 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2393 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2394 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2395 | workloadFactory, |
| 2396 | memoryManager, |
| 2397 | shape0, |
| 2398 | input0, |
| 2399 | shape1, |
| 2400 | input1, |
| 2401 | shape0, |
| 2402 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2403 | } |
| 2404 | |
| 2405 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 2406 | armnn::IWorkloadFactory& workloadFactory, |
| 2407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2408 | { |
| 2409 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2410 | |
| 2411 | // See dequantized values to the right. |
| 2412 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2413 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2414 | |
| 2415 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2416 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2417 | |
| 2418 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2419 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2420 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2421 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2422 | workloadFactory, |
| 2423 | memoryManager, |
| 2424 | shape, |
| 2425 | input0, |
| 2426 | shape, |
| 2427 | input1, |
| 2428 | shape, |
| 2429 | output, |
| 2430 | 1.0f, |
| 2431 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2432 | } |
| 2433 | |
| 2434 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 2435 | armnn::IWorkloadFactory& workloadFactory, |
| 2436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2437 | { |
| 2438 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2439 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2440 | |
| 2441 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2442 | 7, 8, 9, 10, 11, 12 }); |
| 2443 | |
| 2444 | std::vector<uint8_t> input1({2}); |
| 2445 | |
| 2446 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 2447 | 7, 8, 9, 10, 11, 12 }); |
| 2448 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2449 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2450 | workloadFactory, |
| 2451 | memoryManager, |
| 2452 | shape0, |
| 2453 | input0, |
| 2454 | shape1, |
| 2455 | input1, |
| 2456 | shape0, |
| 2457 | output, |
| 2458 | 1.0f, |
| 2459 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2460 | } |
| 2461 | |
| 2462 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 2463 | armnn::IWorkloadFactory& workloadFactory, |
| 2464 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2465 | { |
| 2466 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2467 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2468 | |
| 2469 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2470 | 7, 8, 9, 10, 11, 12 }); |
| 2471 | |
| 2472 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 2473 | |
| 2474 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 2475 | 7, 10, 9, 10, 11, 12 }); |
| 2476 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2477 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2478 | workloadFactory, |
| 2479 | memoryManager, |
| 2480 | shape0, |
| 2481 | input0, |
| 2482 | shape1, |
| 2483 | input1, |
| 2484 | shape0, |
| 2485 | output, |
| 2486 | 1.0f, |
| 2487 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2488 | } |
| 2489 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2490 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 2491 | armnn::IWorkloadFactory& workloadFactory, |
| 2492 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2493 | { |
| 2494 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2495 | |
| 2496 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2497 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2498 | |
| 2499 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2500 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2501 | |
| 2502 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2503 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2504 | |
| 2505 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2506 | workloadFactory, |
| 2507 | memoryManager, |
| 2508 | shape, |
| 2509 | input0, |
| 2510 | shape, |
| 2511 | input1, |
| 2512 | shape, |
| 2513 | output, |
| 2514 | 1.0f, |
| 2515 | 0); |
| 2516 | } |
| 2517 | |
| 2518 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 2519 | armnn::IWorkloadFactory& workloadFactory, |
| 2520 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2521 | { |
| 2522 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2523 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2524 | |
| 2525 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2526 | 7, 8, 9, 10, 11, 12 }); |
| 2527 | |
| 2528 | std::vector<int16_t> input1({2}); |
| 2529 | |
| 2530 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 2531 | 7, 8, 9, 10, 11, 12 }); |
| 2532 | |
| 2533 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2534 | workloadFactory, |
| 2535 | memoryManager, |
| 2536 | shape0, |
| 2537 | input0, |
| 2538 | shape1, |
| 2539 | input1, |
| 2540 | shape0, |
| 2541 | output, |
| 2542 | 1.0f, |
| 2543 | 0); |
| 2544 | } |
| 2545 | |
| 2546 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 2547 | armnn::IWorkloadFactory& workloadFactory, |
| 2548 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2549 | { |
| 2550 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2551 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2552 | |
| 2553 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2554 | 7, 8, 9, 10, 11, 12 }); |
| 2555 | |
| 2556 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 2557 | |
| 2558 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 2559 | 7, 10, 9, 10, 11, 12 }); |
| 2560 | |
| 2561 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2562 | workloadFactory, |
| 2563 | memoryManager, |
| 2564 | shape0, |
| 2565 | input0, |
| 2566 | shape1, |
| 2567 | input1, |
| 2568 | shape0, |
| 2569 | output, |
| 2570 | 1.0f, |
| 2571 | 0); |
| 2572 | } |
| 2573 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2574 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 2575 | armnn::IWorkloadFactory& workloadFactory, |
| 2576 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2577 | { |
| 2578 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2579 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2580 | |
| 2581 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2582 | std::vector<float> input1({ 2 }); |
| 2583 | |
| 2584 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 2585 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2586 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2587 | workloadFactory, |
| 2588 | memoryManager, |
| 2589 | shape0, |
| 2590 | input0, |
| 2591 | shape1, |
| 2592 | input1, |
| 2593 | shape0, |
| 2594 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2595 | } |
| 2596 | |
| 2597 | |
| 2598 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 2599 | armnn::IWorkloadFactory& workloadFactory, |
| 2600 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2601 | { |
| 2602 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2603 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 2604 | |
| 2605 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2606 | std::vector<float> input1({ 5 }); |
| 2607 | |
| 2608 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 2609 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2610 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2611 | workloadFactory, |
| 2612 | memoryManager, |
| 2613 | shape0, |
| 2614 | input0, |
| 2615 | shape1, |
| 2616 | input1, |
| 2617 | shape0, |
| 2618 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2619 | } |
| 2620 | |
| 2621 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 2622 | armnn::IWorkloadFactory & workloadFactory, |
| 2623 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 2624 | { |
| 2625 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2626 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2627 | |
| 2628 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 2629 | 7, 1, 2, 3, 4, 5 }); |
| 2630 | |
| 2631 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 2632 | |
| 2633 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 2634 | 1, 1, 2, 1, 2, 3 }); |
| 2635 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2636 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2637 | workloadFactory, |
| 2638 | memoryManager, |
| 2639 | shape0, |
| 2640 | input0, |
| 2641 | shape1, |
| 2642 | input1, |
| 2643 | shape0, |
| 2644 | output, |
| 2645 | 1.0f, |
| 2646 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2647 | } |
| 2648 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2649 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 2650 | armnn::IWorkloadFactory& workloadFactory, |
| 2651 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2652 | { |
| 2653 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2654 | |
| 2655 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2656 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2657 | |
| 2658 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2659 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2660 | |
| 2661 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2662 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2663 | |
| 2664 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2665 | workloadFactory, |
| 2666 | memoryManager, |
| 2667 | shape, |
| 2668 | input0, |
| 2669 | shape, |
| 2670 | input1, |
| 2671 | shape, |
| 2672 | output, |
| 2673 | 1.0f, |
| 2674 | 0); |
| 2675 | } |
| 2676 | |
| 2677 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 2678 | armnn::IWorkloadFactory& workloadFactory, |
| 2679 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2680 | { |
| 2681 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2682 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2683 | |
| 2684 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2685 | 7, 8, 9, 10, 11, 12 }); |
| 2686 | |
| 2687 | std::vector<int16_t> input1({2}); |
| 2688 | |
| 2689 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 2690 | 2, 2, 2, 2, 2, 2 }); |
| 2691 | |
| 2692 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2693 | workloadFactory, |
| 2694 | memoryManager, |
| 2695 | shape0, |
| 2696 | input0, |
| 2697 | shape1, |
| 2698 | input1, |
| 2699 | shape0, |
| 2700 | output, |
| 2701 | 1.0f, |
| 2702 | 0); |
| 2703 | } |
| 2704 | |
| 2705 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 2706 | armnn::IWorkloadFactory& workloadFactory, |
| 2707 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2708 | { |
| 2709 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2710 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2711 | |
| 2712 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2713 | 7, 8, 9, 10, 11, 12 }); |
| 2714 | |
| 2715 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 2716 | |
| 2717 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 2718 | 1, 8, 3, 1, 10, 3 }); |
| 2719 | |
| 2720 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2721 | workloadFactory, |
| 2722 | memoryManager, |
| 2723 | shape0, |
| 2724 | input0, |
| 2725 | shape1, |
| 2726 | input1, |
| 2727 | shape0, |
| 2728 | output, |
| 2729 | 1.0f, |
| 2730 | 0); |
| 2731 | } |
| 2732 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2733 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2734 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 2735 | armnn::IWorkloadFactory& workloadFactory, |
| 2736 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2737 | const unsigned int shape0[4], |
| 2738 | const std::vector<float> & values0, |
| 2739 | const unsigned int shape1[4], |
| 2740 | const std::vector<float> & values1, |
| 2741 | const unsigned int outShape[4], |
| 2742 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2743 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2744 | const size_t dimensionCount = 4; |
| 2745 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 2746 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 2747 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2748 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2749 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 2750 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2751 | |
| 2752 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2753 | |
| 2754 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2755 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2756 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2757 | |
| 2758 | armnn::MultiplicationQueueDescriptor data; |
| 2759 | armnn::WorkloadInfo info; |
| 2760 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2761 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2762 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2763 | |
| 2764 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 2765 | |
| 2766 | inputHandle0->Allocate(); |
| 2767 | inputHandle1->Allocate(); |
| 2768 | outputHandle->Allocate(); |
| 2769 | |
| 2770 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2771 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2772 | |
| 2773 | workload->Execute(); |
| 2774 | |
| 2775 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2776 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2777 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2778 | return ret; |
| 2779 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2780 | } // anonymous namespace |
| 2781 | |
| 2782 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2783 | LayerTestResult<float,4> MultiplicationTest( |
| 2784 | armnn::IWorkloadFactory& workloadFactory, |
| 2785 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2786 | { |
| 2787 | const unsigned int width = 2; |
| 2788 | const unsigned int height = 2; |
| 2789 | const unsigned int channelCount = 2; |
| 2790 | const unsigned int batchSize = 2; |
| 2791 | |
| 2792 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2793 | |
| 2794 | std::vector<float> input0({ |
| 2795 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 2796 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2797 | |
| 2798 | std::vector<float> input1({ |
| 2799 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 2800 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2801 | |
| 2802 | std::vector<float> output({ |
| 2803 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 2804 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 2805 | |
| 2806 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2807 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2808 | shape, |
| 2809 | input0, |
| 2810 | shape, |
| 2811 | input1, |
| 2812 | shape, |
| 2813 | output); |
| 2814 | } |
| 2815 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2816 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 2817 | armnn::IWorkloadFactory& workloadFactory, |
| 2818 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2819 | { |
| 2820 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2821 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2822 | |
| 2823 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2824 | std::vector<float> input1({ 2 }); |
| 2825 | |
| 2826 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2827 | |
| 2828 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2829 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2830 | shape0, |
| 2831 | input0, |
| 2832 | shape1, |
| 2833 | input1, |
| 2834 | shape0, |
| 2835 | output); |
| 2836 | } |
| 2837 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2838 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 2839 | armnn::IWorkloadFactory& workloadFactory, |
| 2840 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2841 | { |
| 2842 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2843 | std::vector<float> input0({ |
| 2844 | 1, 2, 3, 4, 5, 6, |
| 2845 | 7, 8, 9, 10, 11, 12, |
| 2846 | 13, 14, 15, 16, 17, 18}); |
| 2847 | |
| 2848 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2849 | std::vector<float> input1({ 1, 2 }); |
| 2850 | |
| 2851 | std::vector<float> output({ |
| 2852 | 1, 4, 3, 8, 5, 12, |
| 2853 | 7, 16, 9, 20, 11, 24, |
| 2854 | 13, 28, 15, 32, 17, 36}); |
| 2855 | |
| 2856 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2857 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2858 | shape0, |
| 2859 | input0, |
| 2860 | shape1, |
| 2861 | input1, |
| 2862 | shape0, |
| 2863 | output); |
| 2864 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2865 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2866 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 2867 | armnn::IWorkloadFactory& workloadFactory, |
| 2868 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2869 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2870 | { |
| 2871 | const unsigned int width = 16; |
| 2872 | const unsigned int height = 32; |
| 2873 | const unsigned int channelCount = 2; |
| 2874 | const unsigned int batchSize = 5; |
| 2875 | |
| 2876 | armnn::TensorInfo inputTensorInfo0; |
| 2877 | armnn::TensorInfo inputTensorInfo1; |
| 2878 | armnn::TensorInfo outputTensorInfo; |
| 2879 | |
| 2880 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2881 | |
| 2882 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2883 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2884 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2885 | |
| 2886 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 2887 | |
| 2888 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 2889 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 2890 | |
| 2891 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2892 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2893 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2894 | |
| 2895 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2896 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2897 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2898 | |
| 2899 | armnn::MultiplicationQueueDescriptor data; |
| 2900 | armnn::WorkloadInfo info; |
| 2901 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2902 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2903 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2904 | |
| 2905 | armnn::MultiplicationQueueDescriptor refData = data; |
| 2906 | armnn::WorkloadInfo refInfo = info; |
| 2907 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 2908 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 2909 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2910 | |
| 2911 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 2912 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 2913 | |
| 2914 | inputHandle0->Allocate(); |
| 2915 | inputHandle1->Allocate(); |
| 2916 | outputHandle->Allocate(); |
| 2917 | inputHandle0Ref->Allocate(); |
| 2918 | inputHandle1Ref->Allocate(); |
| 2919 | outputHandleRef->Allocate(); |
| 2920 | |
| 2921 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2922 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2923 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 2924 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 2925 | |
| 2926 | workload->Execute(); |
| 2927 | workloadRef->Execute(); |
| 2928 | |
| 2929 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 2930 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2931 | |
| 2932 | return comparisonResult; |
| 2933 | } |
| 2934 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2935 | LayerTestResult<float,4> CompareBatchNormTest( |
| 2936 | armnn::IWorkloadFactory& workloadFactory, |
| 2937 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2938 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2939 | { |
| 2940 | const unsigned int width = 2; |
| 2941 | const unsigned int height = 3; |
| 2942 | const unsigned int channels = 5; |
| 2943 | const unsigned int batchSize = 3; |
| 2944 | |
| 2945 | armnn::TensorInfo inputTensorInfo; |
| 2946 | armnn::TensorInfo outputTensorInfo; |
| 2947 | armnn::TensorInfo tensorInfo; |
| 2948 | |
| 2949 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 2950 | constexpr unsigned int tensorShape[] = {channels}; |
| 2951 | |
| 2952 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2953 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2954 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 2955 | |
| 2956 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 2957 | |
| 2958 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 2959 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 2960 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 2961 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 2962 | |
| 2963 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2964 | |
| 2965 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 2966 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2967 | |
| 2968 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 2969 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2970 | |
| 2971 | armnn::BatchNormalizationQueueDescriptor data; |
| 2972 | armnn::WorkloadInfo info; |
| 2973 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 2974 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 2975 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 2976 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 2977 | |
| 2978 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 2979 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 2980 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 2981 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 2982 | |
| 2983 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 2984 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2985 | data.m_Mean = &meanTensor; |
| 2986 | data.m_Variance = &varianceTensor; |
| 2987 | data.m_Beta = &betaTensor; |
| 2988 | data.m_Gamma = &gammaTensor; |
| 2989 | data.m_Parameters.m_Eps = 0.01f; |
| 2990 | |
| 2991 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 2992 | armnn::WorkloadInfo refInfo = info; |
| 2993 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 2994 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2995 | |
| 2996 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 2997 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 2998 | |
| 2999 | inputHandle->Allocate(); |
| 3000 | outputHandle->Allocate(); |
| 3001 | inputHandleRef->Allocate(); |
| 3002 | outputHandleRef->Allocate(); |
| 3003 | |
| 3004 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 3005 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 3006 | |
| 3007 | workload->Execute(); |
| 3008 | workloadRef->Execute(); |
| 3009 | |
| 3010 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3011 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3012 | |
| 3013 | return ret; |
| 3014 | } |
| 3015 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3016 | template<typename T> |
| 3017 | void PermuteTensorData( |
| 3018 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3019 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3020 | const armnn::PermutationVector& mappings, |
| 3021 | armnn::TensorInfo & inputTensorInfo, |
| 3022 | const T * inputData, |
| 3023 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3024 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3025 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 3026 | if (inputData == nullptr) |
| 3027 | { |
| 3028 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 3029 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3030 | // an assert for Debug builds. |
| 3031 | return; |
| 3032 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3033 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3034 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 3035 | |
| 3036 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3037 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3038 | |
| 3039 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 3040 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 3041 | armnn::WorkloadInfo workloadInfo; |
| 3042 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 3043 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3044 | |
| 3045 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 3046 | |
| 3047 | inputHandle->Allocate(); |
| 3048 | outputHandle->Allocate(); |
| 3049 | |
| 3050 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 3051 | |
| 3052 | workload->Execute(); |
| 3053 | |
| 3054 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 3055 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 3056 | inputTensorInfo = outputTensorInfo; |
| 3057 | } |
| 3058 | |
| 3059 | armnn::OriginsDescriptor CreateMergerDescriptorForConcatenation( |
| 3060 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3061 | unsigned int concatDim) |
| 3062 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3063 | std::vector<armnn::TensorShape> shapes; |
| 3064 | shapes.reserve(inputTensorInfos.size()); |
| 3065 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 3066 | { |
| 3067 | shapes.push_back(it.GetShape()); |
| 3068 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3069 | |
| 3070 | return armnn::CreateMergerDescriptorForConcatenation(shapes.begin(), |
| 3071 | shapes.end(), |
| 3072 | concatDim); |
| 3073 | } |
| 3074 | |
| 3075 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3076 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 3077 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 3078 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3079 | // |
| 3080 | |
| 3081 | bool NeedPermuteForConcat( |
| 3082 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3083 | unsigned int concatDim) |
| 3084 | { |
| 3085 | // See note above. Additionally we expect the input shapes to have the |
| 3086 | // same number of dimensions. |
| 3087 | unsigned int nDimensions = 0; |
| 3088 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3089 | // Determine the number of dimensions as well as sanity check them |
| 3090 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3091 | for (auto && tensorInfo : inputTensorInfos) |
| 3092 | { |
| 3093 | if (!nDimensions) |
| 3094 | { |
| 3095 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 3096 | } |
| 3097 | else |
| 3098 | { |
| 3099 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 3100 | "Input shapes must have the same number of dimensions"); |
| 3101 | } |
| 3102 | } |
| 3103 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3104 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3105 | } |
| 3106 | |
| 3107 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 3108 | { |
| 3109 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 3110 | if (numDims >= 3) |
| 3111 | { |
| 3112 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 3113 | return inputShape; |
| 3114 | } |
| 3115 | |
| 3116 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 3117 | unsigned int expandedBy = 3 - numDims; |
| 3118 | for (unsigned int i=0; i<numDims; ++i) |
| 3119 | { |
| 3120 | newDims[expandedBy+i] = inputShape[i]; |
| 3121 | } |
| 3122 | return armnn::TensorShape(3u, &newDims[0]); |
| 3123 | } |
| 3124 | |
| 3125 | void Generate3dPermuteVectorForConcat( |
| 3126 | unsigned int numDimensions, |
| 3127 | unsigned int & concatDim, |
| 3128 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 3129 | { |
| 3130 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 3131 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3132 | unsigned int expandedBy = 3 - numDimensions; |
| 3133 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 3134 | |
| 3135 | if (expandedConcatAxis == 2) |
| 3136 | { |
| 3137 | concatDim = 0; |
| 3138 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 3139 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 3140 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3141 | } |
| 3142 | else if (expandedConcatAxis == 1) |
| 3143 | { |
| 3144 | concatDim = 0; |
| 3145 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 3146 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 3147 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3148 | } |
| 3149 | else |
| 3150 | { |
| 3151 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 3152 | concatDim = 0; |
| 3153 | } |
| 3154 | } |
| 3155 | |
| 3156 | // |
| 3157 | // Permute the input tensors so we can do a supported concatenation. |
| 3158 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 3159 | // at the front. Finally this function tells what the output shape |
| 3160 | // of the permuted concatenated tensor is going to be. |
| 3161 | // |
| 3162 | template <typename T> |
| 3163 | void PermuteInputsForConcat( |
| 3164 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3166 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3167 | std::vector<T *> & inputData, |
| 3168 | std::vector<std::vector<T>> & inputDataStorage, |
| 3169 | armnn::PermutationVector & permuteVector, |
| 3170 | unsigned int & concatDim, |
| 3171 | armnn::TensorInfo & outputTensorInfo) |
| 3172 | { |
| 3173 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 3174 | "Expecting more than one tensor to be concatenated here"); |
| 3175 | |
| 3176 | unsigned int numDims = 0; |
| 3177 | unsigned int nthInput = 0; |
| 3178 | const armnn::PermutationVector identity({0, 1, 2}); |
| 3179 | |
| 3180 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 3181 | std::make_pair(identity, identity); |
| 3182 | |
| 3183 | inputDataStorage.resize(inputData.size()); |
| 3184 | |
| 3185 | for (auto && tensorInfo : inputTensorInfos) |
| 3186 | { |
| 3187 | if (numDims == 0) |
| 3188 | { |
| 3189 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 3190 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3192 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3193 | permuteVector = permutations.second; |
| 3194 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 3195 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 3196 | } |
| 3197 | else |
| 3198 | { |
| 3199 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 3200 | "All inputs must have the same number of dimensions"); |
| 3201 | } |
| 3202 | |
| 3203 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 3204 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 3205 | |
| 3206 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3207 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3208 | permutations.first, |
| 3209 | newTensorInfo, |
| 3210 | inputData[nthInput], |
| 3211 | inputDataStorage[nthInput]); |
| 3212 | |
| 3213 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 3214 | inputTensorInfos[nthInput] = newTensorInfo; |
| 3215 | |
| 3216 | ++nthInput; |
| 3217 | } |
| 3218 | |
| 3219 | outputTensorInfo.SetShape( |
| 3220 | armnnUtils::Permuted( |
| 3221 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 3222 | permutations.first)); |
| 3223 | } |
| 3224 | |
| 3225 | |
| 3226 | // |
| 3227 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3228 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3229 | // output. |
| 3230 | // |
| 3231 | template <typename T> |
| 3232 | void PermuteOutputForConcat( |
| 3233 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3234 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3235 | const armnn::TensorInfo & tensorInfo, |
| 3236 | const armnn::PermutationVector & permuteVector, |
| 3237 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 3238 | T * data) |
| 3239 | { |
| 3240 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 3241 | if (data == nullptr) |
| 3242 | { |
| 3243 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3244 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3245 | // an assert for Debug builds. |
| 3246 | return; |
| 3247 | } |
| 3248 | |
| 3249 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 3250 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 3251 | std::vector<T> outputData; |
| 3252 | |
| 3253 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 3254 | |
| 3255 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3256 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3257 | permuteVector, |
| 3258 | resultTensorInfo, |
| 3259 | &inputData[0], |
| 3260 | outputData); |
| 3261 | |
| 3262 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 3263 | } |
| 3264 | |
| 3265 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3266 | void Concatenate( |
| 3267 | armnn::IWorkloadFactory& workloadFactory, |
| 3268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3269 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 3270 | std::initializer_list<T *> inputsOrig, |
| 3271 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 3272 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3273 | unsigned int concatDim, |
| 3274 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3275 | { |
| 3276 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 3277 | if (output == nullptr) |
| 3278 | { |
| 3279 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3280 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3281 | // an assert for Debug builds. |
| 3282 | return; |
| 3283 | } |
| 3284 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3285 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3286 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 3287 | std::vector<T *> inputs = inputsOrig; |
| 3288 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 3289 | |
| 3290 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 3291 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3292 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3293 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 3294 | |
| 3295 | const size_t inputCount = inputTensorInfos.size(); |
| 3296 | |
| 3297 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 3298 | |
| 3299 | if (needPermuteForConcat) |
| 3300 | { |
| 3301 | // |
| 3302 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3303 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3304 | // |
| 3305 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3306 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3307 | inputTensorInfos, |
| 3308 | inputs, |
| 3309 | tmpInputDataStorage, |
| 3310 | permuteVector, |
| 3311 | concatDim, |
| 3312 | outputTensorInfo); |
| 3313 | } |
| 3314 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3315 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3316 | |
| 3317 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 3318 | inputHandles.reserve(inputCount); |
| 3319 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3320 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3321 | |
| 3322 | armnn::MergerQueueDescriptor queueDescriptor; |
| 3323 | armnn::OriginsDescriptor viewsDescriptor = CreateMergerDescriptorForConcatenation(inputTensorInfos, concatDim); |
| 3324 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 3325 | |
| 3326 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3327 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3328 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 3329 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 3330 | { |
| 3331 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 3332 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 3333 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3334 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3335 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3336 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3337 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 3338 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3339 | { |
| 3340 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 3341 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 3342 | subTensorsSupported ? |
| 3343 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 3344 | inputTensorInfo.GetShape(), |
| 3345 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 3346 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3347 | |
| 3348 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3349 | } |
| 3350 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3351 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3352 | else |
| 3353 | { |
| 3354 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3355 | { |
| 3356 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 3357 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3358 | } |
| 3359 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3360 | |
| 3361 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3362 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3363 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3364 | } |
| 3365 | |
| 3366 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3367 | |
| 3368 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(queueDescriptor, workloadInfo); |
| 3369 | |
| 3370 | for (auto& inputHandle : inputHandles) |
| 3371 | { |
| 3372 | inputHandle->Allocate(); |
| 3373 | } |
| 3374 | |
| 3375 | outputHandle->Allocate(); |
| 3376 | |
| 3377 | unsigned int nextInputId = 0; |
| 3378 | for (auto& inputHandle : inputHandles) |
| 3379 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3380 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 3381 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3382 | } |
| 3383 | |
| 3384 | workload->Execute(); |
| 3385 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3386 | if (needPermuteForConcat) |
| 3387 | { |
| 3388 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3389 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3390 | outputTensorInfo, |
| 3391 | permuteVector, |
| 3392 | std::move(outputHandle), |
| 3393 | output); |
| 3394 | } |
| 3395 | else |
| 3396 | { |
| 3397 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 3398 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3399 | } |
| 3400 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3401 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3402 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 3403 | armnn::IWorkloadFactory& workloadFactory, |
| 3404 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3405 | float qScale, |
| 3406 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3407 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3408 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3409 | |
| 3410 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 3411 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 3412 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 3413 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3414 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3415 | |
| 3416 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 3417 | |
| 3418 | std::vector<T> output; |
| 3419 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3420 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3421 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3422 | { input0.data(), input1.data(), input2.data() }, |
| 3423 | outputTensorInfo, |
| 3424 | output.data(), |
| 3425 | 0, |
| 3426 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3427 | |
| 3428 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 3429 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3430 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 3431 | })); |
| 3432 | |
| 3433 | return result; |
| 3434 | } |
| 3435 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3436 | LayerTestResult<float, 1> Concatenation1dTest( |
| 3437 | armnn::IWorkloadFactory& workloadFactory, |
| 3438 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3440 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3441 | } |
| 3442 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3443 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3444 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 3445 | armnn::IWorkloadFactory& workloadFactory, |
| 3446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3447 | const armnn::TensorInfo& outputTensorInfo, |
| 3448 | unsigned int dimension, |
| 3449 | const float qScale, |
| 3450 | const int32_t qOffset) |
| 3451 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3452 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3453 | |
| 3454 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3455 | // Batch 0 |
| 3456 | 1.0f, 2.0f, 3.0f, |
| 3457 | |
| 3458 | // Batch 1 |
| 3459 | 10.0f, 11.0f, 12.0f, |
| 3460 | })); |
| 3461 | |
| 3462 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3463 | // Batch 0 |
| 3464 | 4.0f, 5.0f, 6.0f, |
| 3465 | |
| 3466 | // Batch 1 |
| 3467 | 13.0f, 14.0f, 15.0f, |
| 3468 | })); |
| 3469 | |
| 3470 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3471 | // Batch 0 |
| 3472 | 7.0f, 8.0f, 9.0f, |
| 3473 | |
| 3474 | // Batch 1 |
| 3475 | 16.0f, 17.0f, 18.0f, |
| 3476 | })); |
| 3477 | |
| 3478 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3479 | |
| 3480 | std::vector<T> output; |
| 3481 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3482 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3483 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3484 | { input0.data(), input1.data(), input2.data() }, |
| 3485 | outputTensorInfo, |
| 3486 | output.data(), |
| 3487 | dimension, |
| 3488 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3489 | |
| 3490 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3491 | return result; |
| 3492 | } |
| 3493 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3494 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3495 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 3496 | armnn::IWorkloadFactory& workloadFactory, |
| 3497 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3498 | float qScale, |
| 3499 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3500 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3501 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3502 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3503 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3504 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 3505 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3506 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3507 | // Batch 0 |
| 3508 | 1.0f, 2.0f, 3.0f, |
| 3509 | |
| 3510 | // Batch 1 |
| 3511 | 10.0f, 11.0f, 12.0f, |
| 3512 | |
| 3513 | // Batch 2 |
| 3514 | 4.0f, 5.0f, 6.0f, |
| 3515 | |
| 3516 | // Batch 3 |
| 3517 | 13.0f, 14.0f, 15.0f, |
| 3518 | |
| 3519 | // Batch 4 |
| 3520 | 7.0f, 8.0f, 9.0f, |
| 3521 | |
| 3522 | // Batch 5 |
| 3523 | 16.0f, 17.0f, 18.0f, |
| 3524 | })); |
| 3525 | |
| 3526 | return result; |
| 3527 | } |
| 3528 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3529 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 3530 | armnn::IWorkloadFactory& workloadFactory, |
| 3531 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3532 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3533 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3534 | } |
| 3535 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3536 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3537 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 3538 | armnn::IWorkloadFactory& workloadFactory, |
| 3539 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3540 | float qScale, |
| 3541 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3542 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3543 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3544 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3545 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3546 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 3547 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3548 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3549 | // Batch 0 |
| 3550 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3551 | |
| 3552 | // Batch 1 |
| 3553 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 3554 | })); |
| 3555 | |
| 3556 | return result; |
| 3557 | } |
| 3558 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3559 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 3560 | armnn::IWorkloadFactory& workloadFactory, |
| 3561 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
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 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3564 | } |
| 3565 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3566 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3567 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 3568 | armnn::IWorkloadFactory& workloadFactory, |
| 3569 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3570 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3571 | int32_t qOffset) |
| 3572 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3573 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3574 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3575 | // Batch 0 |
| 3576 | 1.0f, 2.0f, 3.0f, |
| 3577 | |
| 3578 | // Batch 1 |
| 3579 | 10.0f, 11.0f, 12.0f, |
| 3580 | })); |
| 3581 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3582 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3583 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3584 | // Batch 0 |
| 3585 | 4.0f, 5.0f, 6.0f, |
| 3586 | |
| 3587 | // Batch 1 |
| 3588 | 13.0f, 14.0f, 15.0f, |
| 3589 | |
| 3590 | // Batch 0 |
| 3591 | 7.0f, 8.0f, 9.0f, |
| 3592 | })); |
| 3593 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3594 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3595 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3596 | // Batch 1 |
| 3597 | 16.0f, 17.0f, 18.0f, |
| 3598 | })); |
| 3599 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3600 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3601 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3602 | |
| 3603 | std::vector<T> output; |
| 3604 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3605 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3606 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3607 | { input0.data(), input1.data(), input2.data() }, |
| 3608 | outputTensorInfo, |
| 3609 | output.data(), |
| 3610 | 0, |
| 3611 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3612 | |
| 3613 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3614 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3615 | // Batch 0 |
| 3616 | 1.0f, 2.0f, 3.0f, |
| 3617 | |
| 3618 | // Batch 1 |
| 3619 | 10.0f, 11.0f, 12.0f, |
| 3620 | |
| 3621 | // Batch 2 |
| 3622 | 4.0f, 5.0f, 6.0f, |
| 3623 | |
| 3624 | // Batch 3 |
| 3625 | 13.0f, 14.0f, 15.0f, |
| 3626 | |
| 3627 | // Batch 4 |
| 3628 | 7.0f, 8.0f, 9.0f, |
| 3629 | |
| 3630 | // Batch 5 |
| 3631 | 16.0f, 17.0f, 18.0f, |
| 3632 | })); |
| 3633 | |
| 3634 | return result; |
| 3635 | } |
| 3636 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3637 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 3638 | armnn::IWorkloadFactory& workloadFactory, |
| 3639 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
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 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3642 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3643 | } |
| 3644 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3645 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3646 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 3647 | armnn::IWorkloadFactory& workloadFactory, |
| 3648 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3649 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3650 | int32_t qOffset) |
| 3651 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3652 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3653 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3654 | // Batch 0 |
| 3655 | 1.0f, 2.0f, 3.0f, |
| 3656 | |
| 3657 | // Batch 1 |
| 3658 | 10.0f, 11.0f, 12.0f, |
| 3659 | })); |
| 3660 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3661 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3662 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3663 | // Batch 0 |
| 3664 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 3665 | |
| 3666 | // Batch 1 |
| 3667 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 3668 | })); |
| 3669 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3670 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3671 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3672 | // Batch 0 |
| 3673 | 9.0f, |
| 3674 | |
| 3675 | // Batch 1 |
| 3676 | 18.0f |
| 3677 | })); |
| 3678 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3679 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3680 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3681 | |
| 3682 | std::vector<T> output; |
| 3683 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3684 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3685 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3686 | { input0.data(), input1.data(), input2.data() }, |
| 3687 | outputTensorInfo, |
| 3688 | output.data(), |
| 3689 | 1, |
| 3690 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3691 | |
| 3692 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3693 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3694 | // Batch 0 |
| 3695 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3696 | |
| 3697 | // Batch 1 |
| 3698 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 3699 | })); |
| 3700 | |
| 3701 | return result; |
| 3702 | } |
| 3703 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3704 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 3705 | armnn::IWorkloadFactory& workloadFactory, |
| 3706 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3707 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3708 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3709 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3710 | } |
| 3711 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3712 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3713 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 3714 | armnn::IWorkloadFactory& workloadFactory, |
| 3715 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3716 | const armnn::TensorInfo& outputTensorInfo, |
| 3717 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3718 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3719 | float qScale, |
| 3720 | int32_t qOffset) |
| 3721 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3722 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3723 | |
| 3724 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3725 | // Batch 0, Channel 0 |
| 3726 | 1.0f, 2.0f, |
| 3727 | |
| 3728 | // Batch 0, Channel 1 |
| 3729 | 3.0f, 4.0f, |
| 3730 | |
| 3731 | // Batch 0, Channel 2 |
| 3732 | 5.0f, 6.0f, |
| 3733 | |
| 3734 | // Batch 1, Channel 0 |
| 3735 | 19.0f, 20.0f, |
| 3736 | |
| 3737 | // Batch 1, Channel 1 |
| 3738 | 21.0f, 22.0f, |
| 3739 | |
| 3740 | // Batch 1, Channel 2 |
| 3741 | 23.0f, 24.0f |
| 3742 | })); |
| 3743 | |
| 3744 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3745 | // Batch 0, Channel 0 |
| 3746 | 7.0f, 8.0f, |
| 3747 | |
| 3748 | // Batch 0, Channel 1 |
| 3749 | 9.0f, 10.0f, |
| 3750 | |
| 3751 | // Batch 0, Channel 2 |
| 3752 | 11.0f, 12.0f, |
| 3753 | |
| 3754 | // Batch 1, Channel 0 |
| 3755 | 25.0f, 26.0f, |
| 3756 | |
| 3757 | // Batch 1, Channel 1 |
| 3758 | 27.0f, 28.0f, |
| 3759 | |
| 3760 | // Batch 1, Channel 2 |
| 3761 | 29.0f, 30.0f |
| 3762 | })); |
| 3763 | |
| 3764 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3765 | // Batch 0, Channel 0 |
| 3766 | 13.0f, 14.0f, |
| 3767 | |
| 3768 | // Batch 0, Channel 1 |
| 3769 | 15.0f, 16.0f, |
| 3770 | |
| 3771 | // Batch 0, Channel 2 |
| 3772 | 17.0f, 18.0f, |
| 3773 | |
| 3774 | // Batch 1, Channel 0 |
| 3775 | 31.0f, 32.0f, |
| 3776 | |
| 3777 | // Batch 1, Channel 1 |
| 3778 | 33.0f, 34.0f, |
| 3779 | |
| 3780 | // Batch 1, Channel 2 |
| 3781 | 35.0f, 36.0f |
| 3782 | })); |
| 3783 | |
| 3784 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 3785 | |
| 3786 | std::vector<T> output; |
| 3787 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3788 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3789 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3790 | { input0.data(), input1.data(), input2.data() }, |
| 3791 | outputTensorInfo, |
| 3792 | output.data(), |
| 3793 | dimension, |
| 3794 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3795 | |
| 3796 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 3797 | return result; |
| 3798 | } |
| 3799 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3800 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3801 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 3802 | armnn::IWorkloadFactory& workloadFactory, |
| 3803 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3804 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3805 | int32_t qOffset) |
| 3806 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3807 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3808 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3809 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 3810 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 3811 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3812 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3813 | // Batch 0, Channel 0 |
| 3814 | 1.0f, 2.0f, |
| 3815 | |
| 3816 | // Batch 0, Channel 1 |
| 3817 | 3.0f, 4.0f, |
| 3818 | |
| 3819 | // Batch 0, Channel 2 |
| 3820 | 5.0f, 6.0f, |
| 3821 | |
| 3822 | // Batch 1, Channel 0 |
| 3823 | 19.0f, 20.0f, |
| 3824 | |
| 3825 | // Batch 1, Channel 1 |
| 3826 | 21.0f, 22.0f, |
| 3827 | |
| 3828 | // Batch 1, Channel 2 |
| 3829 | 23.0f, 24.0f, |
| 3830 | |
| 3831 | // Batch 2, Channel 0 |
| 3832 | 7.0f, 8.0f, |
| 3833 | |
| 3834 | // Batch 2, Channel 1 |
| 3835 | 9.0f, 10.0f, |
| 3836 | |
| 3837 | // Batch 2, Channel 2 |
| 3838 | 11.0f, 12.0f, |
| 3839 | |
| 3840 | // Batch 3, Channel 0 |
| 3841 | 25.0f, 26.0f, |
| 3842 | |
| 3843 | // Batch 3, Channel 1 |
| 3844 | 27.0f, 28.0f, |
| 3845 | |
| 3846 | // Batch 3, Channel 2 |
| 3847 | 29.0f, 30.0f, |
| 3848 | |
| 3849 | // Batch 4, Channel 0 |
| 3850 | 13.0f, 14.0f, |
| 3851 | |
| 3852 | // Batch 4, Channel 1 |
| 3853 | 15.0f, 16.0f, |
| 3854 | |
| 3855 | // Batch 4, Channel 2 |
| 3856 | 17.0f, 18.0f, |
| 3857 | |
| 3858 | // Batch 5, Channel 0 |
| 3859 | 31.0f, 32.0f, |
| 3860 | |
| 3861 | // Batch 5, Channel 1 |
| 3862 | 33.0f, 34.0f, |
| 3863 | |
| 3864 | // Batch 5, Channel 2 |
| 3865 | 35.0f, 36.0f |
| 3866 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3867 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3868 | return result; |
| 3869 | } |
| 3870 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3871 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 3872 | armnn::IWorkloadFactory& workloadFactory, |
| 3873 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3874 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3875 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3876 | } |
| 3877 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3878 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3879 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 3880 | armnn::IWorkloadFactory& workloadFactory, |
| 3881 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3882 | float qScale, |
| 3883 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3884 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3885 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3886 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3887 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 3888 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3889 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3890 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3891 | // Batch 0, Channel 0 |
| 3892 | 1.0f, 2.0f, |
| 3893 | |
| 3894 | // Batch 0, Channel 1 |
| 3895 | 3.0f, 4.0f, |
| 3896 | |
| 3897 | // Batch 0, Channel 2 |
| 3898 | 5.0f, 6.0f, |
| 3899 | |
| 3900 | // Batch 0, Channel 3 |
| 3901 | 7.0f, 8.0f, |
| 3902 | |
| 3903 | // Batch 0, Channel 4 |
| 3904 | 9.0f, 10.0f, |
| 3905 | |
| 3906 | // Batch 0, Channel 5 |
| 3907 | 11.0f, 12.0f, |
| 3908 | |
| 3909 | // Batch 0, Channel 6 |
| 3910 | 13.0f, 14.0f, |
| 3911 | |
| 3912 | // Batch 0, Channel 7 |
| 3913 | 15.0f, 16.0f, |
| 3914 | |
| 3915 | // Batch 0, Channel 8 |
| 3916 | 17.0f, 18.0f, |
| 3917 | |
| 3918 | // Batch 1, Channel 0 |
| 3919 | 19.0f, 20.0f, |
| 3920 | |
| 3921 | // Batch 1, Channel 1 |
| 3922 | 21.0f, 22.0f, |
| 3923 | |
| 3924 | // Batch 1, Channel 2 |
| 3925 | 23.0f, 24.0f, |
| 3926 | |
| 3927 | // Batch 1, Channel 3 |
| 3928 | 25.0f, 26.0f, |
| 3929 | |
| 3930 | // Batch 1, Channel 4 |
| 3931 | 27.0f, 28.0f, |
| 3932 | |
| 3933 | // Batch 1, Channel 5 |
| 3934 | 29.0f, 30.0f, |
| 3935 | |
| 3936 | // Batch 1, Channel 6 |
| 3937 | 31.0f, 32.0f, |
| 3938 | |
| 3939 | // Batch 1, Channel 7 |
| 3940 | 33.0f, 34.0f, |
| 3941 | |
| 3942 | // Batch 1, Channel 8 |
| 3943 | 35.0f, 36.0f |
| 3944 | })); |
| 3945 | |
| 3946 | return result; |
| 3947 | } |
| 3948 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3949 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 3950 | armnn::IWorkloadFactory& workloadFactory, |
| 3951 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3952 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3953 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3954 | } |
| 3955 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3956 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3957 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 3958 | armnn::IWorkloadFactory& workloadFactory, |
| 3959 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3960 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3961 | float qScale, |
| 3962 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3963 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3964 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3965 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3966 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 3967 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3968 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3969 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3970 | // Batch 0, Channel 0 |
| 3971 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 3972 | |
| 3973 | // Batch 0, Channel 1 |
| 3974 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 3975 | |
| 3976 | // Batch 0, Channel 2 |
| 3977 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 3978 | |
| 3979 | // Batch 1, Channel 0 |
| 3980 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 3981 | |
| 3982 | // Batch 1, Channel 1 |
| 3983 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 3984 | |
| 3985 | // Batch 1, Channel 2 |
| 3986 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 3987 | })); |
| 3988 | |
| 3989 | return result; |
| 3990 | } |
| 3991 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3992 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 3993 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3994 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3995 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3996 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3997 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 3998 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3999 | } |
| 4000 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4001 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4002 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 4003 | armnn::IWorkloadFactory& workloadFactory, |
| 4004 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4005 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4006 | int32_t qOffset) |
| 4007 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4008 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4009 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4010 | // Batch 0, Channel 0 |
| 4011 | 1.0f, 2.0f, |
| 4012 | |
| 4013 | // Batch 0, Channel 1 |
| 4014 | 3.0f, 4.0f, |
| 4015 | |
| 4016 | // Batch 0, Channel 2 |
| 4017 | 5.0f, 6.0f, |
| 4018 | |
| 4019 | // Batch 1, Channel 0 |
| 4020 | 19.0f, 20.0f, |
| 4021 | |
| 4022 | // Batch 1, Channel 1 |
| 4023 | 21.0f, 22.0f, |
| 4024 | |
| 4025 | // Batch 1, Channel 2 |
| 4026 | 23.0f, 24.0f |
| 4027 | })); |
| 4028 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4029 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4030 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4031 | // Batch 0, Channel 0 |
| 4032 | 7.0f, 8.0f, |
| 4033 | |
| 4034 | // Batch 0, Channel 1 |
| 4035 | 9.0f, 10.0f, |
| 4036 | |
| 4037 | // Batch 0, Channel 2 |
| 4038 | 11.0f, 12.0f, |
| 4039 | })); |
| 4040 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4041 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4042 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4043 | // Batch 0, Channel 0 |
| 4044 | 25.0f, 26.0f, |
| 4045 | |
| 4046 | // Batch 0, Channel 1 |
| 4047 | 27.0f, 28.0f, |
| 4048 | |
| 4049 | // Batch 0, Channel 2 |
| 4050 | 29.0f, 30.0f, |
| 4051 | |
| 4052 | // Batch 1, Channel 0 |
| 4053 | 13.0f, 14.0f, |
| 4054 | |
| 4055 | // Batch 1, Channel 1 |
| 4056 | 15.0f, 16.0f, |
| 4057 | |
| 4058 | // Batch 1, Channel 2 |
| 4059 | 17.0f, 18.0f, |
| 4060 | |
| 4061 | // Batch 2, Channel 0 |
| 4062 | 31.0f, 32.0f, |
| 4063 | |
| 4064 | // Batch 2, Channel 1 |
| 4065 | 33.0f, 34.0f, |
| 4066 | |
| 4067 | // Batch 2, Channel 2 |
| 4068 | 35.0f, 36.0f |
| 4069 | })); |
| 4070 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4071 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4072 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4073 | |
| 4074 | std::vector<T> output; |
| 4075 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4076 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4077 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4078 | { input0.data(), input1.data(), input2.data() }, |
| 4079 | outputTensorInfo, |
| 4080 | output.data(), |
| 4081 | 0, |
| 4082 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4083 | |
| 4084 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4085 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4086 | // Batch 0, Channel 0 |
| 4087 | 1.0f, 2.0f, |
| 4088 | |
| 4089 | // Batch 0, Channel 1 |
| 4090 | 3.0f, 4.0f, |
| 4091 | |
| 4092 | // Batch 0, Channel 2 |
| 4093 | 5.0f, 6.0f, |
| 4094 | |
| 4095 | // Batch 1, Channel 0 |
| 4096 | 19.0f, 20.0f, |
| 4097 | |
| 4098 | // Batch 1, Channel 1 |
| 4099 | 21.0f, 22.0f, |
| 4100 | |
| 4101 | // Batch 1, Channel 2 |
| 4102 | 23.0f, 24.0f, |
| 4103 | |
| 4104 | // Batch 2, Channel 0 |
| 4105 | 7.0f, 8.0f, |
| 4106 | |
| 4107 | // Batch 2, Channel 1 |
| 4108 | 9.0f, 10.0f, |
| 4109 | |
| 4110 | // Batch 2, Channel 2 |
| 4111 | 11.0f, 12.0f, |
| 4112 | |
| 4113 | // Batch 3, Channel 0 |
| 4114 | 25.0f, 26.0f, |
| 4115 | |
| 4116 | // Batch 3, Channel 1 |
| 4117 | 27.0f, 28.0f, |
| 4118 | |
| 4119 | // Batch 3, Channel 2 |
| 4120 | 29.0f, 30.0f, |
| 4121 | |
| 4122 | // Batch 4, Channel 0 |
| 4123 | 13.0f, 14.0f, |
| 4124 | |
| 4125 | // Batch 4, Channel 1 |
| 4126 | 15.0f, 16.0f, |
| 4127 | |
| 4128 | // Batch 4, Channel 2 |
| 4129 | 17.0f, 18.0f, |
| 4130 | |
| 4131 | // Batch 5, Channel 0 |
| 4132 | 31.0f, 32.0f, |
| 4133 | |
| 4134 | // Batch 5, Channel 1 |
| 4135 | 33.0f, 34.0f, |
| 4136 | |
| 4137 | // Batch 5, Channel 2 |
| 4138 | 35.0f, 36.0f |
| 4139 | })); |
| 4140 | |
| 4141 | return result; |
| 4142 | } |
| 4143 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4144 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 4145 | armnn::IWorkloadFactory& workloadFactory, |
| 4146 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4147 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4148 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4149 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4150 | } |
| 4151 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4152 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4153 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 4154 | armnn::IWorkloadFactory& workloadFactory, |
| 4155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4156 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4157 | int32_t qOffset) |
| 4158 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4159 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4160 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4161 | // Batch 0, Channel 0 |
| 4162 | 1.0f, 2.0f, |
| 4163 | |
| 4164 | // Batch 0, Channel 1 |
| 4165 | 3.0f, 4.0f, |
| 4166 | |
| 4167 | // Batch 0, Channel 2 |
| 4168 | 5.0f, 6.0f, |
| 4169 | |
| 4170 | // Batch 1, Channel 0 |
| 4171 | 19.0f, 20.0f, |
| 4172 | |
| 4173 | // Batch 1, Channel 1 |
| 4174 | 21.0f, 22.0f, |
| 4175 | |
| 4176 | // Batch 1, Channel 2 |
| 4177 | 23.0f, 24.0f |
| 4178 | })); |
| 4179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4180 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4181 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4182 | // Batch 0, Channel 0 |
| 4183 | 7.0f, 8.0f, |
| 4184 | |
| 4185 | // Batch 0, Channel 1 |
| 4186 | 9.0f, 10.0f, |
| 4187 | |
| 4188 | // Batch 0, Channel 2 |
| 4189 | 11.0f, 12.0f, |
| 4190 | |
| 4191 | // Batch 0, Channel 3 |
| 4192 | 25.0f, 26.0f, |
| 4193 | |
| 4194 | // Batch 1, Channel 0 |
| 4195 | 27.0f, 28.0f, |
| 4196 | |
| 4197 | // Batch 1, Channel 1 |
| 4198 | 29.0f, 30.0f, |
| 4199 | |
| 4200 | // Batch 1, Channel 2 |
| 4201 | 13.0f, 14.0f, |
| 4202 | |
| 4203 | // Batch 1, Channel 3 |
| 4204 | 15.0f, 16.0f, |
| 4205 | })); |
| 4206 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4207 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4208 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4209 | // Batch 0, Channel 0 |
| 4210 | 17.0f, 18.0f, |
| 4211 | |
| 4212 | // Batch 1, Channel 0 |
| 4213 | 31.0f, 32.0f, |
| 4214 | })); |
| 4215 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4216 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4217 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4218 | |
| 4219 | std::vector<T> output; |
| 4220 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4221 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4222 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4223 | { input0.data(), input1.data(), input2.data() }, |
| 4224 | outputTensorInfo, |
| 4225 | output.data(), |
| 4226 | 1, |
| 4227 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4228 | |
| 4229 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4230 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4231 | // Batch 0, Channel 0 |
| 4232 | 1.0f, 2.0f, |
| 4233 | |
| 4234 | // Batch 0, Channel 1 |
| 4235 | 3.0f, 4.0f, |
| 4236 | |
| 4237 | // Batch 0, Channel 2 |
| 4238 | 5.0f, 6.0f, |
| 4239 | |
| 4240 | // Batch 0, Channel 3 |
| 4241 | 7.0f, 8.0f, |
| 4242 | |
| 4243 | // Batch 0, Channel 4 |
| 4244 | 9.0f, 10.0f, |
| 4245 | |
| 4246 | // Batch 0, Channel 5 |
| 4247 | 11.0f, 12.0f, |
| 4248 | |
| 4249 | // Batch 0, Channel 6 |
| 4250 | 25.0f, 26.0f, |
| 4251 | |
| 4252 | // Batch 0, Channel 7 |
| 4253 | 17.0f, 18.0f, |
| 4254 | |
| 4255 | // Batch 1, Channel 0 |
| 4256 | 19.0f, 20.0f, |
| 4257 | |
| 4258 | // Batch 1, Channel 1 |
| 4259 | 21.0f, 22.0f, |
| 4260 | |
| 4261 | // Batch 1, Channel 2 |
| 4262 | 23.0f, 24.0f, |
| 4263 | |
| 4264 | // Batch 1, Channel 3 |
| 4265 | 27.0f, 28.0f, |
| 4266 | |
| 4267 | // Batch 1, Channel 4 |
| 4268 | 29.0f, 30.0f, |
| 4269 | |
| 4270 | // Batch 1, Channel 5 |
| 4271 | 13.0f, 14.0f, |
| 4272 | |
| 4273 | // Batch 1, Channel 6 |
| 4274 | 15.0f, 16.0f, |
| 4275 | |
| 4276 | // Batch 1, Channel 7 |
| 4277 | 31.0f, 32.0f, |
| 4278 | })); |
| 4279 | |
| 4280 | return result; |
| 4281 | } |
| 4282 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4283 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 4284 | armnn::IWorkloadFactory& workloadFactory, |
| 4285 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4286 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4287 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4288 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4289 | } |
| 4290 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4291 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4292 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 4293 | armnn::IWorkloadFactory& workloadFactory, |
| 4294 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4295 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4296 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4297 | int32_t qOffset) |
| 4298 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4299 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4300 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4301 | // Batch 0, Channel 0 |
| 4302 | 1.0f, 2.0f, |
| 4303 | |
| 4304 | // Batch 0, Channel 1 |
| 4305 | 3.0f, 4.0f, |
| 4306 | |
| 4307 | // Batch 0, Channel 2 |
| 4308 | 5.0f, 6.0f, |
| 4309 | |
| 4310 | // Batch 1, Channel 0 |
| 4311 | 19.0f, 20.0f, |
| 4312 | |
| 4313 | // Batch 1, Channel 1 |
| 4314 | 21.0f, 22.0f, |
| 4315 | |
| 4316 | // Batch 1, Channel 2 |
| 4317 | 23.0f, 24.0f |
| 4318 | })); |
| 4319 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4320 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4321 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4322 | // Batch 0, Channel 0 |
| 4323 | 7.0f, |
| 4324 | |
| 4325 | // Batch 0, Channel 1 |
| 4326 | 9.0f, |
| 4327 | |
| 4328 | // Batch 0, Channel 2 |
| 4329 | 11.0f, |
| 4330 | |
| 4331 | // Batch 1, Channel 0 |
| 4332 | 25.0f, |
| 4333 | |
| 4334 | // Batch 1, Channel 1 |
| 4335 | 27.0f, |
| 4336 | |
| 4337 | // Batch 1, Channel 2 |
| 4338 | 29.0f |
| 4339 | })); |
| 4340 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4341 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4342 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4343 | // Batch 0, Channel 0 |
| 4344 | 13.0f, 14.0f, 50.0f, |
| 4345 | |
| 4346 | // Batch 0, Channel 1 |
| 4347 | 15.0f, 16.0f, 51.0f, |
| 4348 | |
| 4349 | // Batch 0, Channel 2 |
| 4350 | 17.0f, 18.0f, 52.0f, |
| 4351 | |
| 4352 | // Batch 1, Channel 0 |
| 4353 | 31.0f, 32.0f, 53.0f, |
| 4354 | |
| 4355 | // Batch 1, Channel 1 |
| 4356 | 33.0f, 34.0f, 54.0f, |
| 4357 | |
| 4358 | // Batch 1, Channel 2 |
| 4359 | 35.0f, 36.0f, 55.0f, |
| 4360 | })); |
| 4361 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4362 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4363 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4364 | |
| 4365 | std::vector<T> output; |
| 4366 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4367 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4368 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4369 | { input0.data(), input1.data(), input2.data() }, |
| 4370 | outputTensorInfo, |
| 4371 | output.data(), |
| 4372 | 2, |
| 4373 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4374 | |
| 4375 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4376 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4377 | // Batch 0, Channel 0 |
| 4378 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 4379 | |
| 4380 | // Batch 0, Channel 1 |
| 4381 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 4382 | |
| 4383 | // Batch 0, Channel 2 |
| 4384 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 4385 | |
| 4386 | // Batch 1, Channel 0 |
| 4387 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 4388 | |
| 4389 | // Batch 1, Channel 1 |
| 4390 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 4391 | |
| 4392 | // Batch 1, Channel 2 |
| 4393 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 4394 | })); |
| 4395 | |
| 4396 | return result; |
| 4397 | } |
| 4398 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4399 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 4400 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4402 | bool useSubtensor) |
| 4403 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4404 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4405 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4406 | } |
| 4407 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4408 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4409 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 4410 | armnn::IWorkloadFactory& workloadFactory, |
| 4411 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4412 | const armnn::TensorInfo& outputTensorInfo, |
| 4413 | unsigned int dimension, |
| 4414 | bool useSubtensor, |
| 4415 | float qScale, |
| 4416 | int32_t qOffset) |
| 4417 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4418 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4419 | |
| 4420 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4421 | 1.0f, 2.0f, |
| 4422 | 3.0f, 4.0f, |
| 4423 | 5.0f, 6.0f, |
| 4424 | 7.0f, 8.0f, |
| 4425 | 9.0f, 10.0f, |
| 4426 | 11.0f, 12.0f |
| 4427 | })); |
| 4428 | |
| 4429 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4430 | 11.0f, 12.0f, |
| 4431 | 13.0f, 14.0f, |
| 4432 | 15.0f, 16.0f, |
| 4433 | 17.0f, 18.0f, |
| 4434 | 19.0f, 20.0f, |
| 4435 | 21.0f, 22.0f |
| 4436 | })); |
| 4437 | |
| 4438 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4439 | 21.0f, 22.0f, |
| 4440 | 23.0f, 24.0f, |
| 4441 | 25.0f, 26.0f, |
| 4442 | 27.0f, 28.0f, |
| 4443 | 29.0f, 30.0f, |
| 4444 | 31.0f, 32.0f |
| 4445 | })); |
| 4446 | |
| 4447 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4448 | |
| 4449 | std::vector<T> output; |
| 4450 | output.resize(outputTensorInfo.GetNumElements()); |
| 4451 | |
| 4452 | Concatenate<T>(workloadFactory, |
| 4453 | memoryManager, |
| 4454 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 4455 | {input0.data(), input1.data(), input2.data()}, |
| 4456 | outputTensorInfo, |
| 4457 | output.data(), |
| 4458 | dimension, |
| 4459 | useSubtensor); |
| 4460 | |
| 4461 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4462 | return result; |
| 4463 | } |
| 4464 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4465 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4466 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 4467 | armnn::IWorkloadFactory& workloadFactory, |
| 4468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4469 | float qScale, |
| 4470 | int32_t qOffset) |
| 4471 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4472 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4473 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4474 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4475 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4476 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4477 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4478 | 1.0f, 2.0f, |
| 4479 | 3.0f, 4.0f, |
| 4480 | 5.0f, 6.0f, |
| 4481 | 7.0f, 8.0f, |
| 4482 | 9.0f, 10.0f, |
| 4483 | 11.0f, 12.0f, |
| 4484 | |
| 4485 | 11.0f, 12.0f, |
| 4486 | 13.0f, 14.0f, |
| 4487 | 15.0f, 16.0f, |
| 4488 | 17.0f, 18.0f, |
| 4489 | 19.0f, 20.0f, |
| 4490 | 21.0f, 22.0f, |
| 4491 | |
| 4492 | 21.0f, 22.0f, |
| 4493 | 23.0f, 24.0f, |
| 4494 | 25.0f, 26.0f, |
| 4495 | 27.0f, 28.0f, |
| 4496 | 29.0f, 30.0f, |
| 4497 | 31.0f, 32.0f |
| 4498 | })); |
| 4499 | return result; |
| 4500 | } |
| 4501 | |
| 4502 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 4503 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4504 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4505 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4506 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4507 | } |
| 4508 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4509 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4510 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 4511 | armnn::IWorkloadFactory& workloadFactory, |
| 4512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4513 | float qScale, |
| 4514 | int32_t qOffset) |
| 4515 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4516 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4517 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4518 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4519 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 4520 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4521 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4522 | 1.0f, 2.0f, |
| 4523 | 3.0f, 4.0f, |
| 4524 | 5.0f, 6.0f, |
| 4525 | 7.0f, 8.0f, |
| 4526 | 9.0f, 10.0f, |
| 4527 | 11.0f, 12.0f, |
| 4528 | |
| 4529 | 11.0f, 12.0f, |
| 4530 | 13.0f, 14.0f, |
| 4531 | 15.0f, 16.0f, |
| 4532 | 17.0f, 18.0f, |
| 4533 | 19.0f, 20.0f, |
| 4534 | 21.0f, 22.0f, |
| 4535 | |
| 4536 | 21.0f, 22.0f, |
| 4537 | 23.0f, 24.0f, |
| 4538 | 25.0f, 26.0f, |
| 4539 | 27.0f, 28.0f, |
| 4540 | 29.0f, 30.0f, |
| 4541 | 31.0f, 32.0f |
| 4542 | })); |
| 4543 | |
| 4544 | return result; |
| 4545 | } |
| 4546 | |
| 4547 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 4548 | armnn::IWorkloadFactory& workloadFactory, |
| 4549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4550 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4551 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4552 | } |
| 4553 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4554 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4555 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 4556 | armnn::IWorkloadFactory& workloadFactory, |
| 4557 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4558 | float qScale, |
| 4559 | int32_t qOffset) |
| 4560 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4561 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4562 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4563 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4564 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 4565 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4566 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4567 | 1.0f, 2.0f, |
| 4568 | 3.0f, 4.0f, |
| 4569 | 11.0f, 12.0f, |
| 4570 | 13.0f, 14.0f, |
| 4571 | 21.0f, 22.0f, |
| 4572 | 23.0f, 24.0f, |
| 4573 | |
| 4574 | 5.0f, 6.0f, |
| 4575 | 7.0f, 8.0f, |
| 4576 | 15.0f, 16.0f, |
| 4577 | 17.0f, 18.0f, |
| 4578 | 25.0f, 26.0f, |
| 4579 | 27.0f, 28.0f, |
| 4580 | |
| 4581 | 9.0f, 10.0f, |
| 4582 | 11.0f, 12.0f, |
| 4583 | 19.0f, 20.0f, |
| 4584 | 21.0f, 22.0f, |
| 4585 | 29.0f, 30.0f, |
| 4586 | 31.0f, 32.0f |
| 4587 | })); |
| 4588 | |
| 4589 | return result; |
| 4590 | } |
| 4591 | |
| 4592 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 4593 | armnn::IWorkloadFactory& workloadFactory, |
| 4594 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4595 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4596 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4597 | } |
| 4598 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4599 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4600 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 4601 | armnn::IWorkloadFactory& workloadFactory, |
| 4602 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4603 | float qScale, |
| 4604 | int32_t qOffset, |
| 4605 | bool useSubtensor) |
| 4606 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4607 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4608 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4609 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4610 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 4611 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4612 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4613 | 1.0f, 2.0f, |
| 4614 | 11.0f, 12.0f, |
| 4615 | 21.0f, 22.0f, |
| 4616 | 3.0f, 4.0f, |
| 4617 | 13.0f, 14.0f, |
| 4618 | 23.0f, 24.0f, |
| 4619 | |
| 4620 | 5.0f, 6.0f, |
| 4621 | 15.0f, 16.0f, |
| 4622 | 25.0f, 26.0f, |
| 4623 | 7.0f, 8.0f, |
| 4624 | 17.0f, 18.0f, |
| 4625 | 27.0f, 28.0f, |
| 4626 | |
| 4627 | 9.0f, 10.0f, |
| 4628 | 19.0f, 20.0f, |
| 4629 | 29.0f, 30.0f, |
| 4630 | 11.0f, 12.0f, |
| 4631 | 21.0f, 22.0f, |
| 4632 | 31.0f, 32.0f |
| 4633 | })); |
| 4634 | |
| 4635 | return result; |
| 4636 | } |
| 4637 | |
| 4638 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 4639 | armnn::IWorkloadFactory& workloadFactory, |
| 4640 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4641 | bool useSubtensor) |
| 4642 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4643 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 4644 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4645 | } |
| 4646 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4647 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4648 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 4649 | armnn::IWorkloadFactory& workloadFactory, |
| 4650 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4651 | float qScale, |
| 4652 | int32_t qOffset) |
| 4653 | { |
| 4654 | unsigned int dimension = 0; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4655 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4656 | |
| 4657 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4658 | 1.0f, 2.0f, |
| 4659 | 3.0f, 4.0f, |
| 4660 | 5.0f, 6.0f, |
| 4661 | 7.0f, 8.0f, |
| 4662 | 9.0f, 10.0f, |
| 4663 | 11.0f, 12.0f |
| 4664 | })); |
| 4665 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4666 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4667 | |
| 4668 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4669 | 11.0f, 12.0f, |
| 4670 | 13.0f, 14.0f, |
| 4671 | 15.0f, 16.0f, |
| 4672 | 17.0f, 18.0f, |
| 4673 | 19.0f, 20.0f, |
| 4674 | 21.0f, 22.0f, |
| 4675 | |
| 4676 | 21.0f, 22.0f, |
| 4677 | 23.0f, 24.0f, |
| 4678 | 25.0f, 26.0f, |
| 4679 | 27.0f, 28.0f, |
| 4680 | 29.0f, 30.0f, |
| 4681 | 31.0f, 32.0f |
| 4682 | |
| 4683 | })); |
| 4684 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4685 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4686 | |
| 4687 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4688 | |
| 4689 | std::vector<T> output; |
| 4690 | output.resize(outputTensorInfo.GetNumElements()); |
| 4691 | Concatenate<T>(workloadFactory, |
| 4692 | memoryManager, |
| 4693 | {inputTensorInfo0, inputTensorInfo1}, |
| 4694 | {input0.data(), input1.data()}, |
| 4695 | outputTensorInfo, |
| 4696 | output.data(), |
| 4697 | dimension, |
| 4698 | true); |
| 4699 | |
| 4700 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4701 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4702 | 1.0f, 2.0f, |
| 4703 | 3.0f, 4.0f, |
| 4704 | 5.0f, 6.0f, |
| 4705 | 7.0f, 8.0f, |
| 4706 | 9.0f, 10.0f, |
| 4707 | 11.0f, 12.0f, |
| 4708 | |
| 4709 | 11.0f, 12.0f, |
| 4710 | 13.0f, 14.0f, |
| 4711 | 15.0f, 16.0f, |
| 4712 | 17.0f, 18.0f, |
| 4713 | 19.0f, 20.0f, |
| 4714 | 21.0f, 22.0f, |
| 4715 | |
| 4716 | 21.0f, 22.0f, |
| 4717 | 23.0f, 24.0f, |
| 4718 | 25.0f, 26.0f, |
| 4719 | 27.0f, 28.0f, |
| 4720 | 29.0f, 30.0f, |
| 4721 | 31.0f, 32.0f |
| 4722 | })); |
| 4723 | |
| 4724 | return result; |
| 4725 | } |
| 4726 | |
| 4727 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 4728 | armnn::IWorkloadFactory& workloadFactory, |
| 4729 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4730 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4731 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 4732 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4733 | } |
| 4734 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4735 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4736 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 4737 | armnn::IWorkloadFactory& workloadFactory, |
| 4738 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4739 | float qScale, |
| 4740 | int32_t qOffset) |
| 4741 | { |
| 4742 | unsigned int dimension = 1; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4743 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4744 | |
| 4745 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4746 | 1.0f, 2.0f, |
| 4747 | 3.0f, 4.0f, |
| 4748 | 5.0f, 6.0f, |
| 4749 | 7.0f, 8.0f, |
| 4750 | 9.0f, 10.0f, |
| 4751 | 11.0f, 12.0f |
| 4752 | })); |
| 4753 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4754 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4755 | |
| 4756 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4757 | 11.0f, 12.0f, |
| 4758 | 13.0f, 14.0f, |
| 4759 | 15.0f, 16.0f, |
| 4760 | 17.0f, 18.0f, |
| 4761 | |
| 4762 | })); |
| 4763 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4764 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4765 | |
| 4766 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4767 | |
| 4768 | std::vector<T> output; |
| 4769 | output.resize(outputTensorInfo.GetNumElements()); |
| 4770 | Concatenate<T>(workloadFactory, |
| 4771 | memoryManager, |
| 4772 | {inputTensorInfo0, inputTensorInfo1}, |
| 4773 | {input0.data(), input1.data()}, |
| 4774 | outputTensorInfo, |
| 4775 | output.data(), |
| 4776 | dimension, |
| 4777 | true); |
| 4778 | |
| 4779 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4780 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4781 | 1.0f, 2.0f, |
| 4782 | 3.0f, 4.0f, |
| 4783 | 5.0f, 6.0f, |
| 4784 | 7.0f, 8.0f, |
| 4785 | 9.0f, 10.0f, |
| 4786 | 11.0f, 12.0f, |
| 4787 | 11.0f, 12.0f, |
| 4788 | 13.0f, 14.0f, |
| 4789 | 15.0f, 16.0f, |
| 4790 | 17.0f, 18.0f |
| 4791 | })); |
| 4792 | |
| 4793 | return result; |
| 4794 | } |
| 4795 | |
| 4796 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 4797 | armnn::IWorkloadFactory& workloadFactory, |
| 4798 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4799 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4800 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 4801 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4802 | } |
| 4803 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4804 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4805 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 4806 | armnn::IWorkloadFactory& workloadFactory, |
| 4807 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4808 | float qScale, |
| 4809 | int32_t qOffset) |
| 4810 | { |
| 4811 | unsigned int dimension = 2; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4812 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4813 | |
| 4814 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4815 | 1.0f, 2.0f, |
| 4816 | 3.0f, 4.0f, |
| 4817 | 5.0f, 6.0f, |
| 4818 | 7.0f, 8.0f, |
| 4819 | 9.0f, 10.0f, |
| 4820 | 11.0f, 12.0f |
| 4821 | })); |
| 4822 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4823 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4824 | |
| 4825 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4826 | 11.0f, 12.0f, |
| 4827 | 13.0f, 14.0f, |
| 4828 | 15.0f, 16.0f, |
| 4829 | 17.0f, 18.0f, |
| 4830 | 19.0f, 20.0f, |
| 4831 | 21.0f, 22.0f, |
| 4832 | 23.0f, 24.0f, |
| 4833 | 25.0f, 26.0f, |
| 4834 | 27.0f, 28.0f |
| 4835 | })); |
| 4836 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4837 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4838 | |
| 4839 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4840 | |
| 4841 | std::vector<T> output; |
| 4842 | output.resize(outputTensorInfo.GetNumElements()); |
| 4843 | Concatenate<T>(workloadFactory, |
| 4844 | memoryManager, |
| 4845 | {inputTensorInfo0, inputTensorInfo1}, |
| 4846 | {input0.data(), input1.data()}, |
| 4847 | outputTensorInfo, |
| 4848 | output.data(), |
| 4849 | dimension, |
| 4850 | true); |
| 4851 | |
| 4852 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4853 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4854 | 1.0f, 2.0f, |
| 4855 | 3.0f, 4.0f, |
| 4856 | 11.0f, 12.0f, |
| 4857 | 13.0f, 14.0f, |
| 4858 | 15.0f, 16.0f, |
| 4859 | |
| 4860 | 5.0f, 6.0f, |
| 4861 | 7.0f, 8.0f, |
| 4862 | 17.0f, 18.0f, |
| 4863 | 19.0f, 20.0f, |
| 4864 | 21.0f, 22.0f, |
| 4865 | |
| 4866 | 9.0f, 10.0f, |
| 4867 | 11.0f, 12.0f, |
| 4868 | 23.0f, 24.0f, |
| 4869 | 25.0f, 26.0f, |
| 4870 | 27.0f, 28.0f |
| 4871 | })); |
| 4872 | |
| 4873 | return result; |
| 4874 | } |
| 4875 | |
| 4876 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 4877 | armnn::IWorkloadFactory& workloadFactory, |
| 4878 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4879 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4880 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 4881 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4882 | } |
| 4883 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4884 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4885 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 4886 | armnn::IWorkloadFactory& workloadFactory, |
| 4887 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4888 | float qScale, |
| 4889 | int32_t qOffset, |
| 4890 | bool useSubtensor) |
| 4891 | { |
| 4892 | unsigned int dimension = 3; |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4893 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4894 | |
| 4895 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4896 | 1.0f, 2.0f, |
| 4897 | 3.0f, 4.0f, |
| 4898 | 5.0f, 6.0f, |
| 4899 | 7.0f, 8.0f, |
| 4900 | 9.0f, 10.0f, |
| 4901 | 11.0f, 12.0f |
| 4902 | })); |
| 4903 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4904 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4905 | |
| 4906 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4907 | 11.0f, 12.0f, 13.0f, |
| 4908 | 14.0f, 15.0f, 16.0f, |
| 4909 | |
| 4910 | 17.0f, 18.0f, 19.0f, |
| 4911 | 20.0f, 21.0f, 22.0f, |
| 4912 | |
| 4913 | 23.0f, 24.0f, 25.0f, |
| 4914 | 26.0f, 27.0f, 28.0f |
| 4915 | })); |
| 4916 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4917 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4918 | |
| 4919 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4920 | |
| 4921 | std::vector<T> output; |
| 4922 | output.resize(outputTensorInfo.GetNumElements()); |
| 4923 | Concatenate<T>(workloadFactory, |
| 4924 | memoryManager, |
| 4925 | {inputTensorInfo0, inputTensorInfo1}, |
| 4926 | {input0.data(), input1.data()}, |
| 4927 | outputTensorInfo, |
| 4928 | output.data(), |
| 4929 | dimension, |
| 4930 | useSubtensor); |
| 4931 | |
| 4932 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4933 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4934 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 4935 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 4936 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 4937 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 4938 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 4939 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 4940 | })); |
| 4941 | |
| 4942 | return result; |
| 4943 | } |
| 4944 | |
| 4945 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 4946 | armnn::IWorkloadFactory& workloadFactory, |
| 4947 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4948 | bool useSubtensor) |
| 4949 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4950 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 4951 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4952 | } |
| 4953 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4954 | LayerTestResult<float, 4> ResizeBilinearNopTest( |
| 4955 | armnn::IWorkloadFactory& workloadFactory, |
| 4956 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4957 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4958 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4959 | const armnn::TensorInfo inputTensorInfo = |
| 4960 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 4961 | |
| 4962 | const armnn::TensorInfo outputTensorInfo = |
| 4963 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4964 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4965 | std::vector<float> inputData({ |
| 4966 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 4967 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 4968 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 4969 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 4970 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4971 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 4972 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 4973 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 4974 | 4.0f, 5.0f, 6.0f, 7.0f |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4975 | }); |
| 4976 | |
| 4977 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 4978 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4979 | { |
| 4980 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 4981 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 4982 | inputData = tmp; |
| 4983 | } |
| 4984 | |
| 4985 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4986 | |
| 4987 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 4988 | result.outputExpected = input; |
| 4989 | |
| 4990 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 4991 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 4992 | |
| 4993 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 4994 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
| 4995 | armnn::WorkloadInfo info; |
| 4996 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 4997 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 4998 | |
| 4999 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5000 | |
| 5001 | inputHandle->Allocate(); |
| 5002 | outputHandle->Allocate(); |
| 5003 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5004 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5005 | workload->Execute(); |
| 5006 | |
| 5007 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5008 | return result; |
| 5009 | } |
| 5010 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5011 | LayerTestResult<float, 4> SimpleResizeBilinearTest( |
| 5012 | armnn::IWorkloadFactory& workloadFactory, |
| 5013 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5014 | const armnn::DataLayout dataLayout) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5015 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5016 | const armnn::TensorInfo inputTensorInfo = |
| 5017 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
| 5018 | |
| 5019 | const armnn::TensorInfo outputTensorInfo = |
| 5020 | armnnUtils::GetTensorInfo(1, 2, 1, 1, dataLayout, armnn::DataType::Float32); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5021 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5022 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5023 | 1.0f, 255.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5024 | 200.0f, 250.0f, |
| 5025 | |
| 5026 | 250.0f, 200.0f, |
| 5027 | 250.0f, 1.0f |
| 5028 | }); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5029 | |
| 5030 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 5031 | // 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] | 5032 | // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as |
| 5033 | // its single element, the value that was at position (0,0) of the input matrix (rather than an average, |
| 5034 | // which we would expect if projecting the centre). |
| 5035 | |
| 5036 | std::vector<float> outputData({ |
| 5037 | 1.0f, |
| 5038 | |
| 5039 | 250.0f |
| 5040 | }); |
| 5041 | |
| 5042 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5043 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5044 | { |
| 5045 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5046 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5047 | inputData = tmp; |
| 5048 | |
| 5049 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5050 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5051 | outputData = tmp1; |
| 5052 | } |
| 5053 | |
| 5054 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5055 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5056 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5057 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5058 | |
| 5059 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5060 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5061 | |
| 5062 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 5063 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5064 | armnn::WorkloadInfo info; |
| 5065 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5066 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5067 | |
| 5068 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5069 | |
| 5070 | inputHandle->Allocate(); |
| 5071 | outputHandle->Allocate(); |
| 5072 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5073 | |
| 5074 | workload->Execute(); |
| 5075 | |
| 5076 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5077 | return result; |
| 5078 | } |
| 5079 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5080 | LayerTestResult<float, 4> ResizeBilinearSqMinTest( |
| 5081 | armnn::IWorkloadFactory& workloadFactory, |
| 5082 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5083 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5084 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5085 | const armnn::TensorInfo inputTensorInfo = |
| 5086 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 5087 | |
| 5088 | const armnn::TensorInfo outputTensorInfo = |
| 5089 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5090 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5091 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5092 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5093 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5094 | 3.0f, 4.0f, 5.0f, 6.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5095 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 5096 | |
| 5097 | 7.0f, 6.0f, 5.0f, 4.0f, |
| 5098 | 6.0f, 5.0f, 4.0f, 3.0f, |
| 5099 | 5.0f, 4.0f, 3.0f, 2.0f, |
| 5100 | 4.0f, 3.0f, 2.0f, 1.0f |
| 5101 | }); |
| 5102 | |
| 5103 | std::vector<float> outputData({ |
| 5104 | 1.0f, 3.0f, |
| 5105 | 3.0f, 5.0f, |
| 5106 | |
| 5107 | 7.0f, 5.0f, |
| 5108 | 5.0f, 3.0f |
| 5109 | }); |
| 5110 | |
| 5111 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5112 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +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)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5116 | inputData = tmp; |
| 5117 | |
| 5118 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5119 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5120 | outputData = tmp1; |
| 5121 | } |
| 5122 | |
| 5123 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5124 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5125 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5126 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5127 | |
| 5128 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5129 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5130 | |
| 5131 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5132 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5133 | armnn::WorkloadInfo info; |
| 5134 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5135 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5136 | |
| 5137 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5138 | |
| 5139 | inputHandle->Allocate(); |
| 5140 | outputHandle->Allocate(); |
| 5141 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5142 | |
| 5143 | workload->Execute(); |
| 5144 | |
| 5145 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5146 | return result; |
| 5147 | } |
| 5148 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5149 | LayerTestResult<float, 4> ResizeBilinearMinTest( |
| 5150 | armnn::IWorkloadFactory& workloadFactory, |
| 5151 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5152 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5153 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5154 | const armnn::TensorInfo inputTensorInfo = |
| 5155 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
| 5156 | |
| 5157 | const armnn::TensorInfo outputTensorInfo = |
| 5158 | armnnUtils::GetTensorInfo(1, 2, 2, 3, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5159 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5160 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5161 | 1.0f, 2.0f, 3.0f, 5.0f, 8.0f, |
| 5162 | 13.0f, 21.0f, 34.0f, 55.0f, 89.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5163 | 144.0f, 233.0f, 377.0f, 610.0f, 987.0f, |
| 5164 | |
| 5165 | 987.0f, 610.0f, 377.0f, 233.0f, 144.0f, |
| 5166 | 89.0f, 55.0f, 34.0f, 21.0f, 13.0f, |
| 5167 | 8.0f, 5.0f, 3.0f, 2.0f, 1.0f |
| 5168 | }); |
| 5169 | |
| 5170 | std::vector<float> outputData({ |
| 5171 | 1.0f, 2.6666f, 6.00f, |
| 5172 | 78.5f, 179.3333f, 401.00f, |
| 5173 | |
| 5174 | 987.0f, 454.6670f, 203.33f, |
| 5175 | 48.5f, 22.3333f, 10.00f |
| 5176 | }); |
| 5177 | |
| 5178 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5179 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5180 | { |
| 5181 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5182 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5183 | inputData = tmp; |
| 5184 | |
| 5185 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5186 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5187 | outputData = tmp1; |
| 5188 | } |
| 5189 | |
| 5190 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5191 | |
| 5192 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5193 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5194 | |
| 5195 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5196 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5197 | |
| 5198 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5199 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5200 | armnn::WorkloadInfo info; |
| 5201 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5202 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5203 | |
| 5204 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5205 | |
| 5206 | inputHandle->Allocate(); |
| 5207 | outputHandle->Allocate(); |
| 5208 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5209 | |
| 5210 | workload->Execute(); |
| 5211 | |
| 5212 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5213 | return result; |
| 5214 | } |
| 5215 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5216 | LayerTestResult<float, 4> ResizeBilinearMagTest( |
| 5217 | armnn::IWorkloadFactory& workloadFactory, |
| 5218 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5219 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5220 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5221 | const armnn::TensorInfo inputTensorInfo = |
| 5222 | armnnUtils::GetTensorInfo(1, 2, 3, 2, dataLayout, armnn::DataType::Float32); |
| 5223 | |
| 5224 | const armnn::TensorInfo outputTensorInfo = |
| 5225 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5226 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5227 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5228 | 1.0f, 2.0f, |
| 5229 | 13.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5230 | 144.0f, 233.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5231 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5232 | 233.0f, 144.0f, |
| 5233 | 21.0f, 13.0f, |
| 5234 | 2.0f, 1.0f |
| 5235 | }); |
| 5236 | |
| 5237 | std::vector<float> outputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5238 | 1.0f, 1.4f, 1.8f, 2.0f, 2.0f, |
| 5239 | 13.0f, 16.2f, 19.4f, 21.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5240 | 144.0f, 179.6f, 215.2f, 233.0f, 233.0f, |
| 5241 | |
| 5242 | 233.0f, 197.4f, 161.8f, 144.0f, 144.0f, |
| 5243 | 21.0f, 17.8f, 14.6f, 13.0f, 13.0f, |
| 5244 | 2.0f, 1.6f, 1.2f, 1.0f, 1.0f |
| 5245 | }); |
| 5246 | |
| 5247 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5248 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5249 | { |
| 5250 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5251 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5252 | inputData = tmp; |
| 5253 | |
| 5254 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5255 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5256 | outputData = tmp1; |
| 5257 | } |
| 5258 | |
| 5259 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5260 | |
| 5261 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 5262 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5263 | |
| 5264 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5265 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5266 | |
| 5267 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5268 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5269 | armnn::WorkloadInfo info; |
| 5270 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5271 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5272 | |
| 5273 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5274 | |
| 5275 | inputHandle->Allocate(); |
| 5276 | outputHandle->Allocate(); |
| 5277 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5278 | |
| 5279 | workload->Execute(); |
| 5280 | |
| 5281 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5282 | return result; |
| 5283 | } |
| 5284 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5285 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 5286 | armnn::IWorkloadFactory& workloadFactory, |
| 5287 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5288 | { |
| 5289 | constexpr unsigned int width = 2; |
| 5290 | constexpr unsigned int height = 3; |
| 5291 | |
| 5292 | const armnn::TensorInfo tensorInfo({height, width }, |
| 5293 | armnn::DataType::Float32); |
| 5294 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5295 | -10.0f, -5.0f, |
| 5296 | 0.0f, 5.0f, |
| 5297 | 10.0f, 10.0f |
| 5298 | })); |
| 5299 | |
| 5300 | LayerTestResult<float, 2> ret(tensorInfo); |
| 5301 | |
| 5302 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5303 | |
| 5304 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5305 | |
| 5306 | armnn::FakeQuantizationQueueDescriptor data; |
| 5307 | armnn::WorkloadInfo info; |
| 5308 | |
| 5309 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 5310 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 5311 | float min = -10.f; |
| 5312 | float max = 10.f; |
| 5313 | |
| 5314 | data.m_Parameters.m_Min = min; |
| 5315 | data.m_Parameters.m_Max = max; |
| 5316 | |
| 5317 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 5318 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 5319 | armnn::WorkloadInfo refInfo = info; |
| 5320 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 5321 | |
| 5322 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 5323 | |
| 5324 | inputHandle->Allocate(); |
| 5325 | outputHandle->Allocate(); |
| 5326 | |
| 5327 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 5328 | |
| 5329 | workload->Execute(); |
| 5330 | |
| 5331 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 5332 | |
| 5333 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5334 | 0.0f, 63.0f, |
| 5335 | 128.0f, 191.0f, |
| 5336 | 255.0f, 255.0f |
| 5337 | })); |
| 5338 | return ret; |
| 5339 | } |
| 5340 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5341 | namespace |
| 5342 | { |
| 5343 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5344 | LayerTestResult<float, 4> L2NormalizationTestImpl( |
| 5345 | armnn::IWorkloadFactory& workloadFactory, |
| 5346 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5347 | const armnn::TensorShape& inputOutputTensorShape, |
| 5348 | const std::vector<float>& inputValues, |
| 5349 | const std::vector<float>& expectedOutputValues, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5350 | const armnn::DataLayout layout) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5351 | { |
| 5352 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5353 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5354 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5355 | // at this point if we require it permute the input data |
| 5356 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 5357 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5358 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5359 | { |
| 5360 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5361 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5362 | inputData = tmp; |
| 5363 | } |
| 5364 | |
| 5365 | auto inputTensor = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5366 | |
| 5367 | LayerTestResult<float, 4> result(outputTensorInfo); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5368 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5369 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5370 | { |
| 5371 | std::vector<float> tmp(expectedOutputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5372 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, |
| 5373 | expectedOutputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5374 | expectedOutputData = tmp; |
| 5375 | } |
| 5376 | result.outputExpected = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5377 | |
| 5378 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5379 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5380 | |
| 5381 | armnn::L2NormalizationQueueDescriptor descriptor; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5382 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5383 | armnn::WorkloadInfo info; |
| 5384 | |
| 5385 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5386 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5387 | |
| 5388 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 5389 | |
| 5390 | inputHandle->Allocate(); |
| 5391 | outputHandle->Allocate(); |
| 5392 | |
| 5393 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5394 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5395 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5396 | |
| 5397 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5398 | |
| 5399 | return result; |
| 5400 | } |
| 5401 | |
| 5402 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 5403 | { |
| 5404 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 5405 | [](float acc, float element) { return acc + element * element; }); |
| 5406 | return 1.0f / sqrtf(reduction); |
| 5407 | } |
| 5408 | |
| 5409 | } // anonymous namespace |
| 5410 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5411 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5412 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 5413 | armnn::IWorkloadFactory& workloadFactory, |
| 5414 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5415 | float qScale, |
| 5416 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5417 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5418 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 5419 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5420 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5421 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5422 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5423 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5424 | std::vector<T> inputValues( |
| 5425 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5426 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5427 | // Height (3) x Width (3) |
| 5428 | 4, 8, 6, |
| 5429 | 7, 4, 4, |
| 5430 | 3, 2, 4 |
| 5431 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5432 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5433 | std::vector<T> expectedOutputValues( |
| 5434 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5435 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5436 | 0, 0, 0, 0, 0, 0, 0, |
| 5437 | 0, 0, 0, 0, 0, 0, 0, |
| 5438 | 0, 0, 4, 8, 6, 0, 0, |
| 5439 | 0, 0, 7, 4, 4, 0, 0, |
| 5440 | 0, 0, 3, 2, 4, 0, 0, |
| 5441 | 0, 0, 0, 0, 0, 0, 0, |
| 5442 | 0, 0, 0, 0, 0, 0, 0 |
| 5443 | })); |
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 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5446 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5447 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5448 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5449 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5450 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5451 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
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 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5454 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5455 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5456 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5457 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5458 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5459 | descriptor.m_Parameters.m_PadList = PadList; |
| 5460 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5461 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5462 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5463 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5464 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5465 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5466 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5467 | inputHandle->Allocate(); |
| 5468 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5469 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5470 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5471 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5472 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5473 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5474 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5475 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5476 | return result; |
| 5477 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5478 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5479 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5480 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 5481 | armnn::IWorkloadFactory& workloadFactory, |
| 5482 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5483 | float qScale, |
| 5484 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5485 | { |
| 5486 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 5487 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 5488 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5489 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5490 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5491 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5492 | std::vector<T> inputValues( |
| 5493 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5494 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5495 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5496 | 0, 4, |
| 5497 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5498 | |
| 5499 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5500 | 6, 1, |
| 5501 | 5, 2 |
| 5502 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5503 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5504 | std::vector<T> expectedOutputValues( |
| 5505 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5506 | { |
| 5507 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5508 | 0, 0, 0, 0, 0, 0, |
| 5509 | 0, 0, 0, 0, 0, 0, |
| 5510 | 0, 0, 0, 4, 0, 0, |
| 5511 | 0, 0, 2, 5, 0, 0, |
| 5512 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5513 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5514 | 0, 0, 0, 0, 0, 0, |
| 5515 | 0, 0, 0, 0, 0, 0, |
| 5516 | 0, 0, 6, 1, 0, 0, |
| 5517 | 0, 0, 5, 2, 0, 0, |
| 5518 | 0, 0, 0, 0, 0, 0, |
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 | 0, 0, 0, 0, 0, 0, |
| 5521 | 0, 0, 0, 0, 0, 0, |
| 5522 | 0, 0, 0, 0, 0, 0, |
| 5523 | 0, 0, 0, 0, 0, 0, |
| 5524 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5525 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5526 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5527 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5528 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5529 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5530 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5531 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5532 | |
| 5533 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5534 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5535 | |
| 5536 | armnn::PadQueueDescriptor descriptor; |
| 5537 | |
| 5538 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5539 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 5540 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5541 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5542 | |
| 5543 | descriptor.m_Parameters.m_PadList = PadList; |
| 5544 | armnn::WorkloadInfo info; |
| 5545 | |
| 5546 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5547 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5548 | |
| 5549 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5550 | |
| 5551 | inputHandle->Allocate(); |
| 5552 | outputHandle->Allocate(); |
| 5553 | |
| 5554 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 5555 | |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5556 | workload->Execute(); |
| 5557 | |
| 5558 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 5559 | |
| 5560 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5561 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5562 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5563 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5564 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 5565 | armnn::IWorkloadFactory& workloadFactory, |
| 5566 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5567 | float qScale, |
| 5568 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5569 | { |
| 5570 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 5571 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 5572 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5573 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5574 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5575 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5576 | std::vector<T> inputValues( |
| 5577 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5578 | { |
| 5579 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5580 | 0, 1, |
| 5581 | 2, 3, |
| 5582 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5583 | |
| 5584 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5585 | 6, 7, |
| 5586 | 8, 9, |
| 5587 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5588 | |
| 5589 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5590 | 12, 13, |
| 5591 | 14, 15, |
| 5592 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5593 | |
| 5594 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5595 | 18, 19, |
| 5596 | 20, 21, |
| 5597 | 22, 23 |
| 5598 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5599 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5600 | std::vector<T> expectedOutputValues( |
| 5601 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5602 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5603 | 0, 0, 0, 0, |
| 5604 | 0, 0, 0, 0, |
| 5605 | 0, 0, 0, 0, |
| 5606 | 0, 0, 0, 0, |
| 5607 | 0, 0, 0, 0, |
| 5608 | 0, 0, 0, 0, |
| 5609 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5610 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5611 | 0, 0, 0, 0, |
| 5612 | 0, 0, 0, 0, |
| 5613 | 0, 0, 0, 0, |
| 5614 | 0, 0, 0, 0, |
| 5615 | 0, 0, 0, 0, |
| 5616 | 0, 0, 0, 0, |
| 5617 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5618 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5619 | 0, 0, 0, 0, |
| 5620 | 0, 0, 0, 0, |
| 5621 | 0, 0, 0, 0, |
| 5622 | 0, 0, 0, 0, |
| 5623 | 0, 0, 0, 0, |
| 5624 | 0, 0, 0, 0, |
| 5625 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5626 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5627 | 0, 0, 0, 0, |
| 5628 | 0, 0, 0, 0, |
| 5629 | 0, 0, 0, 0, |
| 5630 | 0, 0, 0, 0, |
| 5631 | 0, 0, 0, 0, |
| 5632 | 0, 0, 0, 0, |
| 5633 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5634 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5635 | 0, 0, 0, 0, |
| 5636 | 0, 0, 0, 0, |
| 5637 | 0, 0, 0, 0, |
| 5638 | 0, 0, 0, 0, |
| 5639 | 0, 0, 0, 0, |
| 5640 | 0, 0, 0, 0, |
| 5641 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5642 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5643 | 0, 0, 0, 0, |
| 5644 | 0, 0, 0, 0, |
| 5645 | 0, 0, 0, 0, |
| 5646 | 0, 0, 0, 0, |
| 5647 | 0, 0, 0, 0, |
| 5648 | 0, 0, 0, 0, |
| 5649 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5650 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5651 | 0, 0, 0, 0, |
| 5652 | 0, 0, 0, 0, |
| 5653 | 0, 0, 0, 0, |
| 5654 | 0, 0, 0, 0, |
| 5655 | 0, 0, 0, 0, |
| 5656 | 0, 0, 0, 0, |
| 5657 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5658 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5659 | 0, 0, 0, 0, |
| 5660 | 0, 0, 0, 0, |
| 5661 | 0, 0, 0, 0, |
| 5662 | 0, 0, 1, 0, |
| 5663 | 0, 2, 3, 0, |
| 5664 | 0, 4, 5, 0, |
| 5665 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5666 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5667 | 0, 0, 0, 0, |
| 5668 | 0, 0, 0, 0, |
| 5669 | 0, 0, 0, 0, |
| 5670 | 0, 6, 7, 0, |
| 5671 | 0, 8, 9, 0, |
| 5672 | 0, 10, 11, 0, |
| 5673 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5674 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5675 | 0, 0, 0, 0, |
| 5676 | 0, 0, 0, 0, |
| 5677 | 0, 0, 0, 0, |
| 5678 | 0, 0, 0, 0, |
| 5679 | 0, 0, 0, 0, |
| 5680 | 0, 0, 0, 0, |
| 5681 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5682 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5683 | 0, 0, 0, 0, |
| 5684 | 0, 0, 0, 0, |
| 5685 | 0, 0, 0, 0, |
| 5686 | 0, 0, 0, 0, |
| 5687 | 0, 0, 0, 0, |
| 5688 | 0, 0, 0, 0, |
| 5689 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5690 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5691 | 0, 0, 0, 0, |
| 5692 | 0, 0, 0, 0, |
| 5693 | 0, 0, 0, 0, |
| 5694 | 0, 0, 0, 0, |
| 5695 | 0, 0, 0, 0, |
| 5696 | 0, 0, 0, 0, |
| 5697 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5698 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5699 | 0, 0, 0, 0, |
| 5700 | 0, 0, 0, 0, |
| 5701 | 0, 0, 0, 0, |
| 5702 | 0, 12, 13, 0, |
| 5703 | 0, 14, 15, 0, |
| 5704 | 0, 16, 17, 0, |
| 5705 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5706 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5707 | 0, 0, 0, 0, |
| 5708 | 0, 0, 0, 0, |
| 5709 | 0, 0, 0, 0, |
| 5710 | 0, 18, 19, 0, |
| 5711 | 0, 20, 21, 0, |
| 5712 | 0, 22, 23, 0, |
| 5713 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5714 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5715 | 0, 0, 0, 0, |
| 5716 | 0, 0, 0, 0, |
| 5717 | 0, 0, 0, 0, |
| 5718 | 0, 0, 0, 0, |
| 5719 | 0, 0, 0, 0, |
| 5720 | 0, 0, 0, 0, |
| 5721 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5722 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5723 | 0, 0, 0, 0, |
| 5724 | 0, 0, 0, 0, |
| 5725 | 0, 0, 0, 0, |
| 5726 | 0, 0, 0, 0, |
| 5727 | 0, 0, 0, 0, |
| 5728 | 0, 0, 0, 0, |
| 5729 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5730 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5731 | 0, 0, 0, 0, |
| 5732 | 0, 0, 0, 0, |
| 5733 | 0, 0, 0, 0, |
| 5734 | 0, 0, 0, 0, |
| 5735 | 0, 0, 0, 0, |
| 5736 | 0, 0, 0, 0, |
| 5737 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5738 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5739 | 0, 0, 0, 0, |
| 5740 | 0, 0, 0, 0, |
| 5741 | 0, 0, 0, 0, |
| 5742 | 0, 0, 0, 0, |
| 5743 | 0, 0, 0, 0, |
| 5744 | 0, 0, 0, 0, |
| 5745 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5746 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5747 | 0, 0, 0, 0, |
| 5748 | 0, 0, 0, 0, |
| 5749 | 0, 0, 0, 0, |
| 5750 | 0, 0, 0, 0, |
| 5751 | 0, 0, 0, 0, |
| 5752 | 0, 0, 0, 0, |
| 5753 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5754 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5755 | 0, 0, 0, 0, |
| 5756 | 0, 0, 0, 0, |
| 5757 | 0, 0, 0, 0, |
| 5758 | 0, 0, 0, 0, |
| 5759 | 0, 0, 0, 0, |
| 5760 | 0, 0, 0, 0, |
| 5761 | 0, 0, 0, 0 |
| 5762 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5763 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5764 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5765 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5766 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5767 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5768 | |
| 5769 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5770 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5771 | |
| 5772 | armnn::PadQueueDescriptor descriptor; |
| 5773 | |
| 5774 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5775 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5776 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5777 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 5778 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5779 | |
| 5780 | descriptor.m_Parameters.m_PadList = PadList; |
| 5781 | armnn::WorkloadInfo info; |
| 5782 | |
| 5783 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5784 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5785 | |
| 5786 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5787 | |
| 5788 | inputHandle->Allocate(); |
| 5789 | outputHandle->Allocate(); |
| 5790 | |
| 5791 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5792 | |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5793 | workload->Execute(); |
| 5794 | |
| 5795 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5796 | |
| 5797 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5798 | } |
| 5799 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5800 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 5801 | armnn::IWorkloadFactory& workloadFactory, |
| 5802 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5803 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5804 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5805 | } |
| 5806 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5807 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 5808 | armnn::IWorkloadFactory& workloadFactory, |
| 5809 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5810 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5811 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5812 | } |
| 5813 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5814 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 5815 | armnn::IWorkloadFactory& workloadFactory, |
| 5816 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5817 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5818 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5819 | } |
| 5820 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5821 | LayerTestResult<float, 2> PadFloat322dTest( |
| 5822 | armnn::IWorkloadFactory& workloadFactory, |
| 5823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5824 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5825 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5826 | } |
| 5827 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5828 | LayerTestResult<float, 3> PadFloat323dTest( |
| 5829 | armnn::IWorkloadFactory& workloadFactory, |
| 5830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5831 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5832 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5833 | } |
| 5834 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5835 | LayerTestResult<float, 4> PadFloat324dTest( |
| 5836 | armnn::IWorkloadFactory& workloadFactory, |
| 5837 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5838 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5839 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5840 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5841 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5842 | LayerTestResult<float, 4> L2Normalization1dTest( |
| 5843 | armnn::IWorkloadFactory& workloadFactory, |
| 5844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5845 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5846 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5847 | // Width: 1 |
| 5848 | // Height: 1 |
| 5849 | // Channels: 10 |
| 5850 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5851 | unsigned int numberOfBatches = 1; |
| 5852 | unsigned int numberOfChannels = 10; |
| 5853 | unsigned int height = 1; |
| 5854 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5855 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5856 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5857 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5858 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5859 | std::vector<float> inputValues |
| 5860 | { |
| 5861 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 5862 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5863 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5864 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 5865 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5866 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5867 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 5868 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5869 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5870 | // Batch 0, Channel 3, Height (1) x Width (1) |
| 5871 | 4.0f, |
| 5872 | |
| 5873 | // Batch 0, Channel 4, Height (1) x Width (1) |
| 5874 | 5.0f, |
| 5875 | |
| 5876 | // Batch 0, Channel 5, Height (1) x Width (1) |
| 5877 | 6.0f, |
| 5878 | |
| 5879 | // Batch 0, Channel 6, Height (1) x Width (1) |
| 5880 | 7.0f, |
| 5881 | |
| 5882 | // Batch 0, Channel 7, Height (1) x Width (1) |
| 5883 | 8.0f, |
| 5884 | |
| 5885 | // Batch 0, Channel 8, Height (1) x Width (1) |
| 5886 | 9.0f, |
| 5887 | |
| 5888 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 5889 | 10.0f |
| 5890 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5891 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5892 | std::vector<float> expectedOutputValues |
| 5893 | { |
| 5894 | // Batch 0, Channel 0, Height (1) x Width (1) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5895 | 1.0f * approxInvL2Norm, |
| 5896 | 2.0f * approxInvL2Norm, |
| 5897 | 3.0f * approxInvL2Norm, |
| 5898 | 4.0f * approxInvL2Norm, |
| 5899 | 5.0f * approxInvL2Norm, |
| 5900 | 6.0f * approxInvL2Norm, |
| 5901 | 7.0f * approxInvL2Norm, |
| 5902 | 8.0f * approxInvL2Norm, |
| 5903 | 9.0f * approxInvL2Norm, |
| 5904 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5905 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5906 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5907 | |
| 5908 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5909 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5910 | } |
| 5911 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5912 | LayerTestResult<float, 4> L2Normalization2dTest( |
| 5913 | armnn::IWorkloadFactory& workloadFactory, |
| 5914 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5915 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5916 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5917 | // Width: 5 |
| 5918 | // Height: 1 |
| 5919 | // Channels: 2 |
| 5920 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5921 | unsigned int numberOfBatches = 1; |
| 5922 | unsigned int numberOfChannels = 2; |
| 5923 | unsigned int height = 1; |
| 5924 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5925 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5926 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5927 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5928 | std::vector<float> inputValues |
| 5929 | { |
| 5930 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5931 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5932 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5933 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 5934 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 5935 | }; |
| 5936 | std::vector<float> expectedOutputValues |
| 5937 | { |
| 5938 | // Batch 0, Channel 0, Height (1) x Width (5) |
| 5939 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 5940 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 5941 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 5942 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5943 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
| 5944 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5945 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 5946 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 5947 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 5948 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 5949 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5950 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5951 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5952 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5953 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5954 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5955 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5956 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5957 | LayerTestResult<float, 4> L2Normalization3dTest( |
| 5958 | armnn::IWorkloadFactory& workloadFactory, |
| 5959 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5960 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5961 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5962 | // Width: 3 |
| 5963 | // Height: 4 |
| 5964 | // Channels: 2 |
| 5965 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5966 | unsigned int numberOfBatches = 1; |
| 5967 | unsigned int numberOfChannels = 2; |
| 5968 | unsigned int height = 4; |
| 5969 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5970 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 5971 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5972 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5973 | std::vector<float> inputValues |
| 5974 | { |
| 5975 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5976 | 119.0f, 21.0f, 150.0f, |
| 5977 | 149.0f, 32.0f, 179.0f, |
| 5978 | 15.0f, 227.0f, 141.0f, |
| 5979 | 147.0f, 199.0f, 220.0f, |
| 5980 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5981 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5982 | 110.0f, 140.0f, 73.0f, |
| 5983 | 211.0f, 212.0f, 89.0f, |
| 5984 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5985 | 162.0f, 12.0f, 161.0f |
| 5986 | }; |
| 5987 | std::vector<float> expectedOutputValues |
| 5988 | { |
| 5989 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5990 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 5991 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 5992 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 5993 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 5994 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 5995 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 5996 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 5997 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 5998 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 5999 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6000 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 6001 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 6002 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6003 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6004 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6005 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 6006 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6007 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6008 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 6009 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6010 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 6011 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6012 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6013 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6014 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6015 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 6016 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6017 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6018 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6019 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6020 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6021 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6022 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 6023 | armnn::IWorkloadFactory& workloadFactory, |
| 6024 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6025 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6026 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6027 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6028 | // Height: 4 |
| 6029 | // Channels: 3 |
| 6030 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6031 | unsigned int numberOfBatches = 2; |
| 6032 | unsigned int numberOfChannels = 3; |
| 6033 | unsigned int height = 4; |
| 6034 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6035 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6036 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6037 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6038 | std::vector<float> inputValues |
| 6039 | { |
| 6040 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6041 | 235.0f, 46.0f, 178.0f, |
| 6042 | 100.0f, 123.0f, 19.0f, |
| 6043 | 172.0f, 74.0f, 250.0f, |
| 6044 | 6.0f, 195.0f, 80.0f, |
| 6045 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6046 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6047 | 113.0f, 95.0f, 202.0f, |
| 6048 | 77.0f, 114.0f, 71.0f, |
| 6049 | 122.0f, 246.0f, 166.0f, |
| 6050 | 82.0f, 28.0f, 37.0f, |
| 6051 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6052 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6053 | 56.0f, 170.0f, 162.0f, |
| 6054 | 194.0f, 89.0f, 254.0f, |
| 6055 | 12.0f, 209.0f, 200.0f, |
| 6056 | 1.0f, 64.0f, 54.0f, |
| 6057 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6058 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6059 | 67.0f, 90.0f, 49.0f, |
| 6060 | 7.0f, 163.0f, 18.0f, |
| 6061 | 25.0f, 117.0f, 103.0f, |
| 6062 | 247.0f, 59.0f, 189.0f, |
| 6063 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6064 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6065 | 239.0f, 104.0f, 199.0f, |
| 6066 | 17.0f, 124.0f, 153.0f, |
| 6067 | 222.0f, 217.0f, 75.0f, |
| 6068 | 32.0f, 126.0f, 21.0f, |
| 6069 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6070 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6071 | 97.0f, 145.0f, 215.0f, |
| 6072 | 115.0f, 116.0f, 238.0f, |
| 6073 | 226.0f, 16.0f, 132.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6074 | 92.0f, 125.0f, 88.0f |
| 6075 | }; |
| 6076 | std::vector<float> expectedOutputValues |
| 6077 | { |
| 6078 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6079 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6080 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6081 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6082 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6083 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6084 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6085 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6086 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6087 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6088 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6089 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6090 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6091 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6092 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6093 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6094 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6095 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6096 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6097 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6098 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6099 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6100 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6101 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6102 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6103 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6104 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6105 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6106 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6107 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6108 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6109 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6110 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6111 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6112 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6113 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6114 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6115 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6116 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6117 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6118 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6119 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6120 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6121 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6122 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6123 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6124 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6125 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6126 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6127 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6128 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6129 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6130 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6131 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 6132 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6133 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6134 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6135 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6136 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6137 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6138 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6139 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6140 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6141 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6142 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6143 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6144 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6145 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 6146 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6147 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6148 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6149 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6150 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6151 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6152 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6153 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6154 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6155 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6156 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6157 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6158 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6159 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6160 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
| 6161 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6162 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6163 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6164 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6165 | } |
| 6166 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6167 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6168 | LayerTestResult<T, 4> ConstantTestImpl( |
| 6169 | armnn::IWorkloadFactory& workloadFactory, |
| 6170 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6171 | float qScale, |
| 6172 | int32_t qOffset) |
| 6173 | { |
| 6174 | constexpr unsigned int inputWidth = 3; |
| 6175 | constexpr unsigned int inputHeight = 4; |
| 6176 | constexpr unsigned int inputChannels = 3; |
| 6177 | constexpr unsigned int inputBatchSize = 2; |
| 6178 | |
| 6179 | constexpr unsigned int outputWidth = inputWidth; |
| 6180 | constexpr unsigned int outputHeight = inputHeight; |
| 6181 | constexpr unsigned int outputChannels = inputChannels; |
| 6182 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6183 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6184 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6185 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6186 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6187 | |
| 6188 | // Set quantization parameters if the requested type is a quantized type. |
| 6189 | if(armnn::IsQuantizedType<T>()) |
| 6190 | { |
| 6191 | inputTensorInfo.SetQuantizationScale(qScale); |
| 6192 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 6193 | outputTensorInfo.SetQuantizationScale(qScale); |
| 6194 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 6195 | } |
| 6196 | |
| 6197 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 6198 | QuantizedVector<T>(qScale, qOffset, { |
| 6199 | // Batch 0, Channel 0 |
| 6200 | 235.0f, 46.0f, 178.0f, |
| 6201 | 100.0f, 123.0f, 19.0f, |
| 6202 | 172.0f, 74.0f, 250.0f, |
| 6203 | 6.0f, 195.0f, 80.0f, |
| 6204 | |
| 6205 | // Batch 0, Channel 1 |
| 6206 | 113.0f, 95.0f, 202.0f, |
| 6207 | 77.0f, 114.0f, 71.0f, |
| 6208 | 122.0f, 246.0f, 166.0f, |
| 6209 | 82.0f, 28.0f, 37.0f, |
| 6210 | |
| 6211 | // Batch 0, Channel 2 |
| 6212 | 56.0f, 170.0f, 162.0f, |
| 6213 | 194.0f, 89.0f, 254.0f, |
| 6214 | 12.0f, 209.0f, 200.0f, |
| 6215 | 1.0f, 64.0f, 54.0f, |
| 6216 | |
| 6217 | // Batch 1, Channel 0 |
| 6218 | 67.0f, 90.0f, 49.0f, |
| 6219 | 7.0f, 163.0f, 18.0f, |
| 6220 | 25.0f, 117.0f, 103.0f, |
| 6221 | 247.0f, 59.0f, 189.0f, |
| 6222 | |
| 6223 | // Batch 1, Channel 1 |
| 6224 | 239.0f, 104.0f, 199.0f, |
| 6225 | 17.0f, 124.0f, 153.0f, |
| 6226 | 222.0f, 217.0f, 75.0f, |
| 6227 | 32.0f, 126.0f, 21.0f, |
| 6228 | |
| 6229 | // Batch 1, Channel 2 |
| 6230 | 97.0f, 145.0f, 215.0f, |
| 6231 | 115.0f, 116.0f, 238.0f, |
| 6232 | 226.0f, 16.0f, 132.0f, |
| 6233 | 92.0f, 125.0f, 88.0f, |
| 6234 | }))); |
| 6235 | |
| 6236 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6237 | result.outputExpected = input; |
| 6238 | |
| 6239 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6240 | |
| 6241 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 6242 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 6243 | |
| 6244 | armnn::ConstantQueueDescriptor descriptor; |
| 6245 | descriptor.m_LayerOutput = &constantTensor; |
| 6246 | |
| 6247 | armnn::WorkloadInfo info; |
| 6248 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6249 | |
| 6250 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 6251 | |
| 6252 | outputHandle->Allocate(); |
| 6253 | |
| 6254 | workload->Execute(); |
| 6255 | |
| 6256 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6257 | return result; |
| 6258 | } |
| 6259 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6260 | LayerTestResult<float, 4> ConstantTest( |
| 6261 | armnn::IWorkloadFactory& workloadFactory, |
| 6262 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6263 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6264 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6265 | } |
| 6266 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6267 | LayerTestResult<uint8_t, 4> ConstantTestUint8( |
| 6268 | armnn::IWorkloadFactory& workloadFactory, |
| 6269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6270 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6271 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6272 | } |
| 6273 | |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6274 | LayerTestResult<uint8_t, 3> MergerUint8DifferentQParamsTest( |
| 6275 | armnn::IWorkloadFactory& workloadFactory, |
| 6276 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6277 | { |
| 6278 | unsigned int outputWidth = 3; |
| 6279 | unsigned int outputHeight = 6; |
| 6280 | unsigned int outputChannels = 3; |
| 6281 | |
| 6282 | unsigned int inputWidth1 = 3; |
| 6283 | unsigned int inputHeight1 = 6; |
| 6284 | unsigned int inputChannels1 = 2; |
| 6285 | |
| 6286 | unsigned int inputWidth2 = 3; |
| 6287 | unsigned int inputHeight2 = 6; |
| 6288 | unsigned int inputChannels2 = 1; |
| 6289 | |
| 6290 | // Defines the tensor descriptors. |
| 6291 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6292 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6293 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 6294 | |
| 6295 | // Quantized input1 tensor. Range [-3, 1] |
| 6296 | const float inputScale1 = 0.015686f; |
| 6297 | const int32_t inputOffset1 = 192; |
| 6298 | |
| 6299 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6300 | { |
| 6301 | 1, 2, 3, |
| 6302 | 4, 5, 6, |
| 6303 | 7, 8, 9, |
| 6304 | 10, 11, 12, |
| 6305 | 13, 14, 15, |
| 6306 | 16, 17, 18, |
| 6307 | |
| 6308 | 19, 20, 21, |
| 6309 | 22, 23, 24, |
| 6310 | 25, 26, 27, |
| 6311 | 28, 29, 30, |
| 6312 | 31, 32, 33, |
| 6313 | 34, 35, 36, |
| 6314 | }) |
| 6315 | ); |
| 6316 | |
| 6317 | // Quatized input2 tensor. Range [-1, 4] |
| 6318 | const float inputScale2 = 0.019608f; |
| 6319 | const int32_t inputOffset2 = 50; |
| 6320 | |
| 6321 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6322 | { |
| 6323 | 37, 38, 39, |
| 6324 | 40, 41, 42, |
| 6325 | 43, 44, 45, |
| 6326 | 46, 47, 48, |
| 6327 | 49, 50, 51, |
| 6328 | 52, 53, 54, |
| 6329 | }) |
| 6330 | ); |
| 6331 | |
| 6332 | // Output has the same quantization parameters than input1, |
| 6333 | // so that only the requantization of input2 is required |
| 6334 | const float outputScale = 0.015686f; |
| 6335 | const int32_t outputOffset = 192; |
| 6336 | |
| 6337 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6338 | |
| 6339 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 6340 | { |
| 6341 | 1, 2, 3, |
| 6342 | 4, 5, 6, |
| 6343 | 7, 8, 9, |
| 6344 | 10, 11, 12, |
| 6345 | 13, 14, 15, |
| 6346 | 16, 17, 18, |
| 6347 | |
| 6348 | 19, 20, 21, |
| 6349 | 22, 23, 24, |
| 6350 | 25, 26, 27, |
| 6351 | 28, 29, 30, |
| 6352 | 31, 32, 33, |
| 6353 | 34, 35, 36, |
| 6354 | |
| 6355 | 176, 177, 178, |
| 6356 | 179, 181, 182, |
| 6357 | 183, 184, 186, |
| 6358 | 187, 188, 189, |
| 6359 | 191, 192, 193, |
| 6360 | 195, 196, 197, |
| 6361 | }) |
| 6362 | ); |
| 6363 | |
| 6364 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 6365 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 6366 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 6367 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 6368 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 6369 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 6370 | |
| 6371 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
| 6372 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6373 | |
| 6374 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
| 6375 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6376 | |
| 6377 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6378 | |
| 6379 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6380 | |
| 6381 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6382 | subTensorsSupported ? |
| 6383 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6384 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6385 | |
| 6386 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6387 | subTensorsSupported ? |
| 6388 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6389 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6390 | |
| 6391 | armnn::MergerQueueDescriptor data; |
| 6392 | armnn::WorkloadInfo info; |
| 6393 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6394 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6395 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6396 | |
| 6397 | data.m_ViewOrigins.push_back(window1); |
| 6398 | data.m_ViewOrigins.push_back(window2); |
| 6399 | |
| 6400 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(data, info); |
| 6401 | |
| 6402 | inputHandle1->Allocate(); |
| 6403 | inputHandle2->Allocate(); |
| 6404 | outputHandle->Allocate(); |
| 6405 | |
| 6406 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6407 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6408 | |
| 6409 | workload->Execute(); |
| 6410 | |
| 6411 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6412 | |
| 6413 | return ret; |
| 6414 | } |
| 6415 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6416 | LayerTestResult<uint8_t, 3> MergerUint8Test( |
| 6417 | armnn::IWorkloadFactory& workloadFactory, |
| 6418 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6419 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6420 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6421 | unsigned int outputHeight = 6; |
| 6422 | unsigned int outputChannels = 3; |
| 6423 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6424 | unsigned int inputWidth1 = 3; |
| 6425 | unsigned int inputHeight1 = 6; |
| 6426 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6427 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6428 | unsigned int inputWidth2 = 3; |
| 6429 | unsigned int inputHeight2 = 6; |
| 6430 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6431 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6432 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6433 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6434 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6435 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6436 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6437 | // 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] | 6438 | const float scale = 0.13497836f; |
| 6439 | const int32_t offset = -7; |
| 6440 | |
| 6441 | outputTensorInfo.SetQuantizationScale(scale); |
| 6442 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6443 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6444 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6445 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6446 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6447 | |
| 6448 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6449 | |
| 6450 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6451 | { |
| 6452 | 1, 2, 3, |
| 6453 | 4, 5, 6, |
| 6454 | 7, 8, 9, |
| 6455 | 10, 11, 12, |
| 6456 | 13, 14, 15, |
| 6457 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6458 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6459 | 19, 20, 21, |
| 6460 | 22, 23, 24, |
| 6461 | 25, 26, 27, |
| 6462 | 28, 29, 30, |
| 6463 | 31, 32, 33, |
| 6464 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6465 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6466 | 37, 38, 39, |
| 6467 | 40, 41, 42, |
| 6468 | 43, 44, 45, |
| 6469 | 46, 47, 48, |
| 6470 | 49, 50, 51, |
| 6471 | 52, 53, 54, |
| 6472 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6473 | ); |
| 6474 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6475 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6476 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6477 | 1, 2, 3, |
| 6478 | 4, 5, 6, |
| 6479 | 7, 8, 9, |
| 6480 | 10, 11, 12, |
| 6481 | 13, 14, 15, |
| 6482 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6483 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6484 | 19, 20, 21, |
| 6485 | 22, 23, 24, |
| 6486 | 25, 26, 27, |
| 6487 | 28, 29, 30, |
| 6488 | 31, 32, 33, |
| 6489 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6490 | }) |
| 6491 | ); |
| 6492 | |
| 6493 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6494 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6495 | 37, 38, 39, |
| 6496 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6497 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6498 | 46, 47, 48, |
| 6499 | 49, 50, 51, |
| 6500 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6501 | }) |
| 6502 | ); |
| 6503 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6504 | 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] | 6505 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6506 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6507 | 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] | 6508 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6509 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6510 | |
| 6511 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6512 | |
| 6513 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6514 | |
| 6515 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6516 | subTensorsSupported ? |
| 6517 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6518 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6519 | |
| 6520 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6521 | subTensorsSupported ? |
| 6522 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6523 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6524 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6525 | |
| 6526 | armnn::MergerQueueDescriptor data; |
| 6527 | armnn::WorkloadInfo info; |
| 6528 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6529 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6530 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6531 | |
| 6532 | data.m_ViewOrigins.push_back(window1); |
| 6533 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6534 | |
| 6535 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMerger(data, info); |
| 6536 | |
| 6537 | inputHandle1->Allocate(); |
| 6538 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6539 | outputHandle->Allocate(); |
| 6540 | |
| 6541 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6542 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6543 | |
| 6544 | workload->Execute(); |
| 6545 | |
| 6546 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6547 | |
| 6548 | return ret; |
| 6549 | } |
| 6550 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6551 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6552 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6553 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6554 | template <typename T> |
| 6555 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6556 | armnn::IWorkloadFactory& workloadFactory, |
| 6557 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6558 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6559 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6560 | float scale0, |
| 6561 | int32_t offset0, |
| 6562 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6563 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6564 | float scale1, |
| 6565 | int32_t offset1, |
| 6566 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6567 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6568 | float outScale, |
| 6569 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6570 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6571 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 6572 | armnn::DataType::QuantisedAsymm8 : |
| 6573 | armnn::DataType::QuantisedSymm16); |
| 6574 | |
| 6575 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 6576 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 6577 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6578 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6579 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 6580 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6581 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6582 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 6583 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6584 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6585 | outputTensorInfo.SetQuantizationScale(outScale); |
| 6586 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6587 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6588 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 6589 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6590 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6591 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6592 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 6593 | |
| 6594 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 6595 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6596 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6597 | |
| 6598 | armnn::AdditionQueueDescriptor data; |
| 6599 | armnn::WorkloadInfo info; |
| 6600 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 6601 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6602 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6603 | |
| 6604 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 6605 | |
| 6606 | inputHandle0->Allocate(); |
| 6607 | inputHandle1->Allocate(); |
| 6608 | outputHandle->Allocate(); |
| 6609 | |
| 6610 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 6611 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 6612 | |
| 6613 | workload->Execute(); |
| 6614 | |
| 6615 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6616 | |
| 6617 | return result; |
| 6618 | } |
| 6619 | } // anonymous namespace |
| 6620 | |
| 6621 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 6622 | armnn::IWorkloadFactory& workloadFactory, |
| 6623 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6624 | { |
| 6625 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6626 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 6627 | |
| 6628 | std::vector<uint8_t> input0( |
| 6629 | { |
| 6630 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 6631 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 6632 | }); |
| 6633 | |
| 6634 | std::vector<uint8_t> input1( |
| 6635 | { |
| 6636 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 6637 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 6638 | }); |
| 6639 | |
| 6640 | std::vector<uint8_t> output( |
| 6641 | { |
| 6642 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 6643 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 6644 | }); |
| 6645 | |
| 6646 | return AdditionQuantizeTestHelper(workloadFactory, |
| 6647 | memoryManager, |
| 6648 | shape0, input0, 7.0f, 3, |
| 6649 | shape1, input1, 7.0f, 3, |
| 6650 | shape0, output, 7.0f, 3); |
| 6651 | } |
| 6652 | |
| 6653 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 6654 | armnn::IWorkloadFactory& workloadFactory, |
| 6655 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6656 | { |
| 6657 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6658 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 6659 | |
| 6660 | std::vector<int16_t> input0( |
| 6661 | { |
| 6662 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 6663 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 6664 | }); |
| 6665 | |
| 6666 | std::vector<int16_t> input1( |
| 6667 | { |
| 6668 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 6669 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 6670 | }); |
| 6671 | |
| 6672 | std::vector<int16_t> output( |
| 6673 | { |
| 6674 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 6675 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 6676 | }); |
| 6677 | |
| 6678 | return AdditionQuantizeTestHelper(workloadFactory, |
| 6679 | memoryManager, |
| 6680 | shape0, input0, 7.0f, 0, |
| 6681 | shape1, input1, 7.0f, 0, |
| 6682 | shape0, output, 7.0f, 0); |
| 6683 | } |
| 6684 | |
| 6685 | namespace |
| 6686 | { |
| 6687 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6688 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 6689 | armnn::IWorkloadFactory& workloadFactory, |
| 6690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6691 | const unsigned int shape0[4], |
| 6692 | const std::vector<T> & values0, |
| 6693 | float scale0, |
| 6694 | int32_t offset0, |
| 6695 | const unsigned int shape1[4], |
| 6696 | const std::vector<T> & values1, |
| 6697 | float scale1, |
| 6698 | int32_t offset1, |
| 6699 | const unsigned int outShape[4], |
| 6700 | const std::vector<T> & outValues, |
| 6701 | float outScale, |
| 6702 | int32_t outOffset) |
| 6703 | { |
| 6704 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 6705 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 6706 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 6707 | |
| 6708 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 6709 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 6710 | |
| 6711 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 6712 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 6713 | |
| 6714 | outputTensorInfo.SetQuantizationScale(outScale); |
| 6715 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 6716 | |
| 6717 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 6718 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 6719 | |
| 6720 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6721 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6722 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6723 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6724 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6725 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6726 | |
| 6727 | armnn::MultiplicationQueueDescriptor data; |
| 6728 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6729 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 6730 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6731 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6732 | |
| 6733 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 6734 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6735 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6736 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6737 | outputHandle->Allocate(); |
| 6738 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6739 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6740 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6741 | |
| 6742 | workload->Execute(); |
| 6743 | |
| 6744 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6745 | |
| 6746 | return result; |
| 6747 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6748 | } // anonymous namespace |
| 6749 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6750 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 6751 | armnn::IWorkloadFactory& workloadFactory, |
| 6752 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6753 | { |
| 6754 | unsigned int batchSize = 1; |
| 6755 | unsigned int channels = 2; |
| 6756 | unsigned int height = 2; |
| 6757 | unsigned int width = 3; |
| 6758 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 6759 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6760 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6761 | std::vector<uint8_t> input0({ |
| 6762 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 6763 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 6764 | }); |
| 6765 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6766 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6767 | std::vector<uint8_t> input1({ |
| 6768 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 6769 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 6770 | }); |
| 6771 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6772 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6773 | std::vector<uint8_t> output( |
| 6774 | { |
| 6775 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 6776 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 6777 | }); |
| 6778 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6779 | // Scale/offset chosen to have output values out of range. |
| 6780 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 6781 | memoryManager, |
| 6782 | shape, |
| 6783 | input0, |
| 6784 | 4.0f, |
| 6785 | 1, |
| 6786 | shape, |
| 6787 | input1, |
| 6788 | 3.0f, |
| 6789 | -2, |
| 6790 | shape, |
| 6791 | output, |
| 6792 | 1366.255f, |
| 6793 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6794 | } |
| 6795 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6796 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 6797 | armnn::IWorkloadFactory& workloadFactory, |
| 6798 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6799 | { |
| 6800 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6801 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 6802 | |
| 6803 | std::vector<uint8_t> input0({ |
| 6804 | 1, 2, 3, 4, 5, 6, |
| 6805 | 7, 8, 9, 10, 11, 12 |
| 6806 | }); |
| 6807 | |
| 6808 | std::vector<uint8_t> input1({2}); |
| 6809 | |
| 6810 | std::vector<uint8_t> output({ |
| 6811 | 2, 4, 6, 8, 10, 12, |
| 6812 | 14, 16, 18, 20, 22, 24 |
| 6813 | }); |
| 6814 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6815 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 6816 | memoryManager, |
| 6817 | shape0, |
| 6818 | input0, |
| 6819 | 1.0f, |
| 6820 | 0, |
| 6821 | shape1, |
| 6822 | input1, |
| 6823 | 1.0f, |
| 6824 | 0, |
| 6825 | shape0, |
| 6826 | output, |
| 6827 | 1.0f, |
| 6828 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6829 | } |
| 6830 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6831 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 6832 | armnn::IWorkloadFactory& workloadFactory, |
| 6833 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6834 | { |
| 6835 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6836 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 6837 | |
| 6838 | std::vector<uint8_t> input0({ |
| 6839 | 1, 2, 3, 4, 5, 6, |
| 6840 | 7, 8, 9, 10, 11, 12 |
| 6841 | }); |
| 6842 | |
| 6843 | std::vector<uint8_t> input1({1, 2, 3}); |
| 6844 | |
| 6845 | std::vector<uint8_t> output({ |
| 6846 | 1, 4, 9, 4, 10, 18, |
| 6847 | 7, 16, 27, 10, 22, 36 |
| 6848 | }); |
| 6849 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6850 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 6851 | memoryManager, |
| 6852 | shape0, |
| 6853 | input0, |
| 6854 | 1.0f, |
| 6855 | 0, |
| 6856 | shape1, |
| 6857 | input1, |
| 6858 | 1.0f, |
| 6859 | 0, |
| 6860 | shape0, |
| 6861 | output, |
| 6862 | 1.0f, |
| 6863 | 0); |
| 6864 | } |
| 6865 | |
| 6866 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 6867 | armnn::IWorkloadFactory& workloadFactory, |
| 6868 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6869 | { |
| 6870 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 6871 | |
| 6872 | std::vector<int16_t> input0( |
| 6873 | { |
| 6874 | 6, 7, 8, 9, 10, 11, |
| 6875 | 12, 13, 14, 15, 16, 17 |
| 6876 | }); |
| 6877 | |
| 6878 | std::vector<int16_t> input1( |
| 6879 | { |
| 6880 | 1, 2, 3, 4, 5, 6, |
| 6881 | 7, 8, 9, 10, 11, 12 |
| 6882 | }); |
| 6883 | |
| 6884 | std::vector<int16_t> output( |
| 6885 | { |
| 6886 | 6, 14, 24, 36, 50, 66, |
| 6887 | 84, 104, 126, 150, 176, 204 |
| 6888 | }); |
| 6889 | |
| 6890 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 6891 | memoryManager, |
| 6892 | shape, |
| 6893 | input0, |
| 6894 | 1.0f, |
| 6895 | 0, |
| 6896 | shape, |
| 6897 | input1, |
| 6898 | 1.0f, |
| 6899 | 0, |
| 6900 | shape, |
| 6901 | output, |
| 6902 | 1.0f, |
| 6903 | 0); |
| 6904 | } |
| 6905 | |
| 6906 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 6907 | armnn::IWorkloadFactory& workloadFactory, |
| 6908 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6909 | { |
| 6910 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6911 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 6912 | |
| 6913 | std::vector<int16_t> input0( |
| 6914 | { |
| 6915 | 1, 2, 3, 4, 5, 6, |
| 6916 | 7, 8, 9, 10, 11, 12 |
| 6917 | }); |
| 6918 | |
| 6919 | std::vector<int16_t> input1({2}); |
| 6920 | |
| 6921 | std::vector<int16_t> output( |
| 6922 | { |
| 6923 | 2, 4, 6, 8, 10, 12, |
| 6924 | 14, 16, 18, 20, 22, 24 |
| 6925 | }); |
| 6926 | |
| 6927 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 6928 | memoryManager, |
| 6929 | shape0, |
| 6930 | input0, |
| 6931 | 1.0f, |
| 6932 | 0, |
| 6933 | shape1, |
| 6934 | input1, |
| 6935 | 1.0f, |
| 6936 | 0, |
| 6937 | shape0, |
| 6938 | output, |
| 6939 | 1.0f, |
| 6940 | 0); |
| 6941 | } |
| 6942 | |
| 6943 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 6944 | armnn::IWorkloadFactory& workloadFactory, |
| 6945 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6946 | { |
| 6947 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6948 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 6949 | |
| 6950 | std::vector<int16_t> input0( |
| 6951 | { |
| 6952 | 1, 2, 3, 4, 5, 6, |
| 6953 | 7, 8, 9, 10, 11, 12 |
| 6954 | }); |
| 6955 | |
| 6956 | std::vector<int16_t> input1({1, 2, 3}); |
| 6957 | |
| 6958 | std::vector<int16_t> output( |
| 6959 | { |
| 6960 | 1, 4, 9, 4, 10, 18, |
| 6961 | 7, 16, 27, 10, 22, 36 |
| 6962 | }); |
| 6963 | |
| 6964 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 6965 | memoryManager, |
| 6966 | shape0, |
| 6967 | input0, |
| 6968 | 1.0f, |
| 6969 | 0, |
| 6970 | shape1, |
| 6971 | input1, |
| 6972 | 1.0f, |
| 6973 | 0, |
| 6974 | shape0, |
| 6975 | output, |
| 6976 | 1.0f, |
| 6977 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6978 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6979 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6980 | namespace |
| 6981 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6982 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6983 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 6984 | armnn::IWorkloadFactory& workloadFactory, |
| 6985 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6986 | const unsigned int shape0[4], |
| 6987 | const std::vector<T>& values0, |
| 6988 | float scale0, |
| 6989 | int32_t offset0, |
| 6990 | const unsigned int shape1[4], |
| 6991 | const std::vector<T> & values1, |
| 6992 | float scale1, |
| 6993 | int32_t offset1, |
| 6994 | const unsigned int outShape[4], |
| 6995 | const std::vector<T> & outValues, |
| 6996 | float outScale, |
| 6997 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 6998 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6999 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7000 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7001 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7002 | |
| 7003 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7004 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7005 | |
| 7006 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7007 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7008 | |
| 7009 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7010 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7011 | |
| 7012 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7013 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7014 | |
| 7015 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7016 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7017 | |
| 7018 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7019 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7020 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7021 | |
| 7022 | armnn::SubtractionQueueDescriptor data; |
| 7023 | armnn::WorkloadInfo info; |
| 7024 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7025 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7026 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7027 | |
| 7028 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 7029 | |
| 7030 | inputHandle0->Allocate(); |
| 7031 | inputHandle1->Allocate(); |
| 7032 | outputHandle->Allocate(); |
| 7033 | |
| 7034 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7035 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7036 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7037 | workload->Execute(); |
| 7038 | |
| 7039 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7040 | |
| 7041 | return result; |
| 7042 | } |
| 7043 | } // anonymous namespace |
| 7044 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7045 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 7046 | armnn::IWorkloadFactory& workloadFactory, |
| 7047 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7048 | { |
| 7049 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7050 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7051 | |
| 7052 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7053 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 7054 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 7055 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7056 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7057 | memoryManager, |
| 7058 | shape0, input0, 0.5f, 2, |
| 7059 | shape1, input1, 1.0f, 0, |
| 7060 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7061 | } |
| 7062 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7063 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 7064 | armnn::IWorkloadFactory& workloadFactory, |
| 7065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7066 | { |
| 7067 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7068 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7069 | |
| 7070 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7071 | std::vector<uint8_t> input1({ 2 }); |
| 7072 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 7073 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7074 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7075 | memoryManager, |
| 7076 | shape0, input0, 0.5f, 2, |
| 7077 | shape1, input1, 1.0f, 0, |
| 7078 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7079 | } |
| 7080 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7081 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 7082 | armnn::IWorkloadFactory& workloadFactory, |
| 7083 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7084 | { |
| 7085 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7086 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7087 | |
| 7088 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7089 | std::vector<uint8_t> input1({ 2, 1 }); |
| 7090 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 7091 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7092 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7093 | memoryManager, |
| 7094 | shape0, input0, 1.0f, 0, |
| 7095 | shape1, input1, 1.0f, 0, |
| 7096 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7097 | } |
| 7098 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7099 | LayerTestResult<float, 4> SubtractionTest( |
| 7100 | armnn::IWorkloadFactory& workloadFactory, |
| 7101 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7102 | { |
| 7103 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7104 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7105 | |
| 7106 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7107 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 7108 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 7109 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7110 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7111 | memoryManager, |
| 7112 | shape0, input0, 1.0f, 0, |
| 7113 | shape1, input1, 1.0f, 0, |
| 7114 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7115 | } |
| 7116 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7117 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 7118 | armnn::IWorkloadFactory& workloadFactory, |
| 7119 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7120 | { |
| 7121 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7122 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7123 | |
| 7124 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7125 | std::vector<float> input1({ 10 }); |
| 7126 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 7127 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7128 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7129 | memoryManager, |
| 7130 | shape0, input0, 1.0f, 0, |
| 7131 | shape1, input1, 1.0f, 0, |
| 7132 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7133 | } |
| 7134 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7135 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 7136 | armnn::IWorkloadFactory& workloadFactory, |
| 7137 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7138 | { |
| 7139 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7140 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 7141 | |
| 7142 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7143 | std::vector<float> input1({ 10, -5 }); |
| 7144 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 7145 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7146 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7147 | memoryManager, |
| 7148 | shape0, input0, 1.0f, 0, |
| 7149 | shape1, input1, 1.0f, 0, |
| 7150 | shape0, output, 1.0f, 0); |
| 7151 | } |
| 7152 | |
| 7153 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 7154 | armnn::IWorkloadFactory& workloadFactory, |
| 7155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7156 | { |
| 7157 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7158 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7159 | |
| 7160 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7161 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 7162 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 7163 | |
| 7164 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7165 | memoryManager, |
| 7166 | shape0, input0, 0.5f, 0, |
| 7167 | shape1, input1, 1.0f, 0, |
| 7168 | shape0, output, 1.0f, 0); |
| 7169 | } |
| 7170 | |
| 7171 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 7172 | armnn::IWorkloadFactory& workloadFactory, |
| 7173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7174 | { |
| 7175 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7176 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7177 | |
| 7178 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7179 | std::vector<int16_t> input1({ 2 }); |
| 7180 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 7181 | |
| 7182 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7183 | memoryManager, |
| 7184 | shape0, input0, 0.5f, 0, |
| 7185 | shape1, input1, 1.0f, 0, |
| 7186 | shape0, output, 1.0f, 0); |
| 7187 | } |
| 7188 | |
| 7189 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 7190 | armnn::IWorkloadFactory& workloadFactory, |
| 7191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7192 | { |
| 7193 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7194 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7195 | |
| 7196 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7197 | std::vector<int16_t> input1({ 2, 1 }); |
| 7198 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 7199 | |
| 7200 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7201 | memoryManager, |
| 7202 | shape0, input0, 1.0f, 0, |
| 7203 | shape1, input1, 1.0f, 0, |
| 7204 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7205 | } |
| 7206 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7207 | LayerTestResult<uint8_t, 4> ResizeBilinearNopUint8Test( |
| 7208 | armnn::IWorkloadFactory& workloadFactory, |
| 7209 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7210 | { |
| 7211 | constexpr unsigned int inputWidth = 4; |
| 7212 | constexpr unsigned int inputHeight = 4; |
| 7213 | constexpr unsigned int inputChannels = 1; |
| 7214 | constexpr unsigned int inputBatchSize = 1; |
| 7215 | |
| 7216 | constexpr unsigned int outputWidth = inputWidth; |
| 7217 | constexpr unsigned int outputHeight = inputHeight; |
| 7218 | constexpr unsigned int outputChannels = inputChannels; |
| 7219 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7220 | |
| 7221 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7222 | armnn::DataType::QuantisedAsymm8); |
| 7223 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 7224 | inputTensorInfo.SetQuantizationOffset(-3); |
| 7225 | |
| 7226 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7227 | armnn::DataType::QuantisedAsymm8); |
| 7228 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 7229 | outputTensorInfo.SetQuantizationOffset(-3); |
| 7230 | |
| 7231 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7232 | 1, 2, 3, 4, |
| 7233 | 2, 3, 4, 5, |
| 7234 | 3, 4, 5, 6, |
| 7235 | 4, 5, 6, 7 |
| 7236 | })); |
| 7237 | |
| 7238 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7239 | result.outputExpected = input; |
| 7240 | |
| 7241 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7242 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7243 | |
| 7244 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7245 | armnn::WorkloadInfo info; |
| 7246 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7247 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7248 | |
| 7249 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7250 | |
| 7251 | inputHandle->Allocate(); |
| 7252 | outputHandle->Allocate(); |
| 7253 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7254 | |
| 7255 | workload->Execute(); |
| 7256 | |
| 7257 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7258 | return result; |
| 7259 | } |
| 7260 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7261 | LayerTestResult<uint8_t, 4> SimpleResizeBilinearUint8Test( |
| 7262 | armnn::IWorkloadFactory& workloadFactory, |
| 7263 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7264 | { |
| 7265 | constexpr unsigned int inputWidth = 2; |
| 7266 | constexpr unsigned int inputHeight = 2; |
| 7267 | constexpr unsigned int inputChannels = 1; |
| 7268 | constexpr unsigned int inputBatchSize = 1; |
| 7269 | |
| 7270 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 7271 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 7272 | constexpr unsigned int outputChannels = inputChannels; |
| 7273 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7274 | |
| 7275 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7276 | armnn::DataType::QuantisedAsymm8); |
| 7277 | inputTensorInfo.SetQuantizationScale(0.1567f); |
| 7278 | inputTensorInfo.SetQuantizationOffset(1); |
| 7279 | |
| 7280 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7281 | armnn::DataType::QuantisedAsymm8); |
| 7282 | outputTensorInfo.SetQuantizationScale(0.1567f); |
| 7283 | outputTensorInfo.SetQuantizationOffset(1); |
| 7284 | |
| 7285 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7286 | 1, 255, |
| 7287 | 200, 250 |
| 7288 | })); |
| 7289 | |
| 7290 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 7291 | // 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] | 7292 | // 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] | 7293 | // that was at position (0,0) of the input matrix (rather than an average, which we would expect if projecting |
| 7294 | // the centre). |
| 7295 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7296 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7297 | 1 |
| 7298 | })); |
| 7299 | |
| 7300 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7301 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7302 | |
| 7303 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7304 | armnn::WorkloadInfo info; |
| 7305 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7306 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7307 | |
| 7308 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7309 | |
| 7310 | inputHandle->Allocate(); |
| 7311 | outputHandle->Allocate(); |
| 7312 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7313 | |
| 7314 | workload->Execute(); |
| 7315 | |
| 7316 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7317 | return result; |
| 7318 | } |
| 7319 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7320 | LayerTestResult<uint8_t, 4> ResizeBilinearSqMinUint8Test( |
| 7321 | armnn::IWorkloadFactory& workloadFactory, |
| 7322 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7323 | { |
| 7324 | constexpr unsigned int inputWidth = 4; |
| 7325 | constexpr unsigned int inputHeight = 4; |
| 7326 | constexpr unsigned int inputChannels = 1; |
| 7327 | constexpr unsigned int inputBatchSize = 1; |
| 7328 | |
| 7329 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 7330 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 7331 | constexpr unsigned int outputChannels = inputChannels; |
| 7332 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7333 | |
| 7334 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7335 | armnn::DataType::QuantisedAsymm8); |
| 7336 | inputTensorInfo.SetQuantizationScale(3.141592f); |
| 7337 | inputTensorInfo.SetQuantizationOffset(3); |
| 7338 | |
| 7339 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7340 | armnn::DataType::QuantisedAsymm8); |
| 7341 | outputTensorInfo.SetQuantizationScale(3.141592f); |
| 7342 | outputTensorInfo.SetQuantizationOffset(3); |
| 7343 | |
| 7344 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7345 | 1, 2, 3, 4, |
| 7346 | 2, 3, 4, 5, |
| 7347 | 3, 4, 5, 6, |
| 7348 | 4, 5, 6, 7 |
| 7349 | })); |
| 7350 | |
| 7351 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7352 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7353 | 1, 3, |
| 7354 | 3, 5 |
| 7355 | })); |
| 7356 | |
| 7357 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7358 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7359 | |
| 7360 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7361 | armnn::WorkloadInfo info; |
| 7362 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7363 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7364 | |
| 7365 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7366 | |
| 7367 | inputHandle->Allocate(); |
| 7368 | outputHandle->Allocate(); |
| 7369 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7370 | |
| 7371 | workload->Execute(); |
| 7372 | |
| 7373 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7374 | return result; |
| 7375 | } |
| 7376 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7377 | LayerTestResult<uint8_t, 4> ResizeBilinearMinUint8Test( |
| 7378 | armnn::IWorkloadFactory& workloadFactory, |
| 7379 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7380 | { |
| 7381 | constexpr unsigned int inputWidth = 3; |
| 7382 | constexpr unsigned int inputHeight = 2; |
| 7383 | constexpr unsigned int inputChannels = 1; |
| 7384 | constexpr unsigned int inputBatchSize = 1; |
| 7385 | |
| 7386 | constexpr unsigned int outputWidth = 2; |
| 7387 | constexpr unsigned int outputHeight = 1; |
| 7388 | constexpr unsigned int outputChannels = inputChannels; |
| 7389 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7390 | |
| 7391 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7392 | armnn::DataType::QuantisedAsymm8); |
| 7393 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 7394 | inputTensorInfo.SetQuantizationOffset(-1); |
| 7395 | |
| 7396 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7397 | armnn::DataType::QuantisedAsymm8); |
| 7398 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 7399 | outputTensorInfo.SetQuantizationOffset(-1); |
| 7400 | |
| 7401 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7402 | 1, 2, 3, // 3.0, 4.5, 6.0 |
| 7403 | 5, 8, 13 // 9.0, 13.5, 21.0 |
| 7404 | })); |
| 7405 | |
| 7406 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7407 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7408 | 1, 3 // 3.0, 5.25 |
| 7409 | })); |
| 7410 | |
| 7411 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7412 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7413 | |
| 7414 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7415 | armnn::WorkloadInfo info; |
| 7416 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7417 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7418 | |
| 7419 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7420 | |
| 7421 | inputHandle->Allocate(); |
| 7422 | outputHandle->Allocate(); |
| 7423 | |
| 7424 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7425 | |
| 7426 | workload->Execute(); |
| 7427 | |
| 7428 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7429 | return result; |
| 7430 | } |
| 7431 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7432 | LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test( |
| 7433 | armnn::IWorkloadFactory& workloadFactory, |
| 7434 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7435 | { |
| 7436 | constexpr unsigned int inputWidth = 2; |
| 7437 | constexpr unsigned int inputHeight = 3; |
| 7438 | constexpr unsigned int inputChannels = 1; |
| 7439 | constexpr unsigned int inputBatchSize = 1; |
| 7440 | |
| 7441 | constexpr unsigned int outputWidth = 5; |
| 7442 | constexpr unsigned int outputHeight = 3; |
| 7443 | constexpr unsigned int outputChannels = inputChannels; |
| 7444 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7445 | |
| 7446 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7447 | armnn::DataType::QuantisedAsymm8); |
| 7448 | inputTensorInfo.SetQuantizationScale(0.010765f); |
| 7449 | inputTensorInfo.SetQuantizationOffset(7); |
| 7450 | |
| 7451 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7452 | armnn::DataType::QuantisedAsymm8); |
| 7453 | outputTensorInfo.SetQuantizationScale(0.010132f); |
| 7454 | outputTensorInfo.SetQuantizationOffset(-18); |
| 7455 | |
| 7456 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7457 | 24, 228, // 0.183005, 2.379065, |
| 7458 | 105, 128, // 1.05497, 1.302565 |
| 7459 | 230, 71 // 2.400595, 0.68896 |
| 7460 | })); |
| 7461 | |
| 7462 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7463 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7464 | 0, 87, 173, 217, 217, // 0.18300501, 1.06142902, 1.93985295, 2.37906504, 2.37906504 |
| 7465 | 86, 96, 106, 111, 111, // 1.05497003, 1.15400803, 1.25304604, 1.30256498, 1.30256498 |
| 7466 | 219, 151, 84, 50, 50 // 2.40059495, 1.71594095, 1.03128707, 0.68896002, 0.68896002 |
| 7467 | })); |
| 7468 | |
| 7469 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7470 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7471 | |
| 7472 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7473 | armnn::WorkloadInfo info; |
| 7474 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7475 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7476 | |
| 7477 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7478 | |
| 7479 | inputHandle->Allocate(); |
| 7480 | outputHandle->Allocate(); |
| 7481 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7482 | |
| 7483 | workload->Execute(); |
| 7484 | |
| 7485 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7486 | return result; |
| 7487 | } |
| 7488 | |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7489 | LayerTestResult<float, 2> Rsqrt2dTestCommon( |
| 7490 | armnn::IWorkloadFactory& workloadFactory, |
| 7491 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7492 | const armnn::TensorInfo inputTensorInfo, |
| 7493 | const armnn::TensorInfo outputTensorInfo, |
| 7494 | std::vector<float> inputValues, |
| 7495 | std::vector<float> expectedOutputValues) |
| 7496 | { |
| 7497 | auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7498 | |
| 7499 | LayerTestResult<float, 2> result(outputTensorInfo); |
| 7500 | result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, std::vector<float>(expectedOutputValues)); |
| 7501 | |
| 7502 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7503 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7504 | |
| 7505 | armnn::RsqrtQueueDescriptor descriptor; |
| 7506 | |
| 7507 | armnn::WorkloadInfo info; |
| 7508 | |
| 7509 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7510 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7511 | |
| 7512 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7513 | |
| 7514 | inputHandle->Allocate(); |
| 7515 | outputHandle->Allocate(); |
| 7516 | |
| 7517 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
| 7518 | |
| 7519 | workload->Execute(); |
| 7520 | |
| 7521 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
| 7522 | |
| 7523 | return result; |
| 7524 | } |
| 7525 | LayerTestResult<float, 2> Rsqrt2dTest( |
| 7526 | armnn::IWorkloadFactory& workloadFactory, |
| 7527 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7528 | { |
| 7529 | const armnn::TensorShape inputShape{ 2, 2 }; |
| 7530 | const armnn::TensorShape outputShape{ 2, 2 }; |
| 7531 | |
| 7532 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7533 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7534 | |
| 7535 | std::vector<float> inputValues |
| 7536 | { |
| 7537 | 1.f, 4.f, |
| 7538 | 16.f, 25.f |
| 7539 | }; |
| 7540 | |
| 7541 | std::vector<float> expectedOutputValues |
| 7542 | { |
| 7543 | 1.f, 0.5f, |
| 7544 | 0.25f, 0.2f |
| 7545 | }; |
| 7546 | |
| 7547 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7548 | inputTensorInfo, outputTensorInfo, |
| 7549 | inputValues, expectedOutputValues); |
| 7550 | } |
| 7551 | |
| 7552 | LayerTestResult<float, 3> Rsqrt3dTest( |
| 7553 | armnn::IWorkloadFactory& workloadFactory, |
| 7554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7555 | { |
| 7556 | const armnn::TensorShape inputShape{ 3, 1, 2 }; |
| 7557 | const armnn::TensorShape outputShape{ 3, 1, 2 }; |
| 7558 | |
| 7559 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7560 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7561 | |
| 7562 | std::vector<float> inputValues |
| 7563 | { |
| 7564 | 1.f, 4.f, 16.f, |
| 7565 | 25.f, 64.f, 100.f |
| 7566 | }; |
| 7567 | |
| 7568 | std::vector<float> expectedOutputValues |
| 7569 | { |
| 7570 | 1.f, 0.5f, 0.25f, |
| 7571 | 0.2f, 0.125f, 0.1f |
| 7572 | }; |
| 7573 | |
| 7574 | auto inputTensor = MakeTensor<float, 3>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7575 | |
| 7576 | LayerTestResult<float, 3> result(outputTensorInfo); |
| 7577 | result.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float >(expectedOutputValues)); |
| 7578 | |
| 7579 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7580 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7581 | |
| 7582 | armnn::RsqrtQueueDescriptor descriptor; |
| 7583 | |
| 7584 | armnn::WorkloadInfo info; |
| 7585 | |
| 7586 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7587 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7588 | |
| 7589 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7590 | |
| 7591 | inputHandle->Allocate(); |
| 7592 | outputHandle->Allocate(); |
| 7593 | |
| 7594 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 7595 | |
| 7596 | workload->Execute(); |
| 7597 | |
| 7598 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 7599 | |
| 7600 | return result; |
| 7601 | } |
| 7602 | |
| 7603 | LayerTestResult<float, 2> RsqrtZeroTest( |
| 7604 | armnn::IWorkloadFactory& workloadFactory, |
| 7605 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7606 | { |
| 7607 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 7608 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 7609 | |
| 7610 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7611 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7612 | |
| 7613 | std::vector<float> inputValues |
| 7614 | { |
| 7615 | 0.f, -0.f |
| 7616 | }; |
| 7617 | |
| 7618 | std::vector<float> expectedOutputValues |
| 7619 | { |
| 7620 | INFINITY, -INFINITY |
| 7621 | }; |
| 7622 | |
| 7623 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7624 | inputTensorInfo, outputTensorInfo, |
| 7625 | inputValues, expectedOutputValues); |
| 7626 | } |
| 7627 | |
| 7628 | LayerTestResult<float, 2> RsqrtNegativeTest( |
| 7629 | armnn::IWorkloadFactory& workloadFactory, |
| 7630 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7631 | { |
| 7632 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 7633 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 7634 | |
| 7635 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7636 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7637 | |
| 7638 | std::vector<float> inputValues |
| 7639 | { |
| 7640 | -25.f, -16.f |
| 7641 | }; |
| 7642 | |
| 7643 | std::vector<float> expectedOutputValues |
| 7644 | { |
| 7645 | -NAN, -NAN |
| 7646 | }; |
| 7647 | |
| 7648 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7649 | inputTensorInfo, outputTensorInfo, |
| 7650 | inputValues, expectedOutputValues); |
| 7651 | } |
| 7652 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7653 | LayerTestResult<float, 4> BatchNormTest( |
| 7654 | armnn::IWorkloadFactory& workloadFactory, |
| 7655 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7656 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7657 | // BatchSize: 1 |
| 7658 | // Channels: 2 |
| 7659 | // Height: 3 |
| 7660 | // Width: 2 |
| 7661 | |
| 7662 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7663 | std::vector<float> inputValues |
| 7664 | { |
| 7665 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7666 | 1.f, 4.f, |
| 7667 | 4.f, 2.f, |
| 7668 | 1.f, 6.f, |
| 7669 | |
| 7670 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7671 | 1.f, 1.f, |
| 7672 | 4.f, 1.f, |
| 7673 | -2.f, 4.f |
| 7674 | }; |
| 7675 | std::vector<float> expectedOutputValues |
| 7676 | { |
| 7677 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7678 | 1.f, 4.f, |
| 7679 | 4.f, 2.f, |
| 7680 | 1.f, 6.f, |
| 7681 | |
| 7682 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7683 | 3.f, 3.f, |
| 7684 | 4.f, 3.f, |
| 7685 | 2.f, 4.f |
| 7686 | }; |
| 7687 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7688 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 7689 | workloadFactory, memoryManager, |
| 7690 | inputOutputShape, inputValues, expectedOutputValues, |
| 7691 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7692 | } |
| 7693 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7694 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 7695 | armnn::IWorkloadFactory& workloadFactory, |
| 7696 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7697 | { |
| 7698 | // BatchSize: 1 |
| 7699 | // Height: 3 |
| 7700 | // Width: 2 |
| 7701 | // Channels: 2 |
| 7702 | |
| 7703 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7704 | std::vector<float> inputValues |
| 7705 | { |
| 7706 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7707 | 1.f, 1.f, |
| 7708 | 4.f, 1.f, |
| 7709 | |
| 7710 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7711 | 4.f, 4.f, |
| 7712 | 2.f, 1.f, |
| 7713 | |
| 7714 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7715 | 1.f, -2.f, |
| 7716 | 6.f, 4.f |
| 7717 | }; |
| 7718 | std::vector<float> expectedOutputValues |
| 7719 | { |
| 7720 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7721 | 1.f, 3.f, |
| 7722 | 4.f, 3.f, |
| 7723 | |
| 7724 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7725 | 4.f, 4.f, |
| 7726 | 2.f, 3.f, |
| 7727 | |
| 7728 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7729 | 1.f, 2.f, |
| 7730 | 6.f, 4.f |
| 7731 | }; |
| 7732 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7733 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 7734 | workloadFactory, memoryManager, |
| 7735 | inputOutputShape, inputValues, expectedOutputValues, |
| 7736 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7737 | } |
| 7738 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7739 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 7740 | armnn::IWorkloadFactory& workloadFactory, |
| 7741 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7742 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7743 | // BatchSize: 1 |
| 7744 | // Channels: 2 |
| 7745 | // Height: 3 |
| 7746 | // Width: 2 |
| 7747 | |
| 7748 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7749 | std::vector<float> inputValues |
| 7750 | { |
| 7751 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7752 | 1.f, 4.f, |
| 7753 | 4.f, 2.f, |
| 7754 | 1.f, 6.f, |
| 7755 | |
| 7756 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7757 | 1.f, 1.f, |
| 7758 | 4.f, 1.f, |
| 7759 | -2.f, 4.f |
| 7760 | }; |
| 7761 | std::vector<float> expectedOutputValues |
| 7762 | { |
| 7763 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7764 | 1.f, 4.f, |
| 7765 | 4.f, 2.f, |
| 7766 | 1.f, 6.f, |
| 7767 | |
| 7768 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7769 | 3.f, 3.f, |
| 7770 | 4.f, 3.f, |
| 7771 | 2.f, 4.f |
| 7772 | }; |
| 7773 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7774 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7775 | workloadFactory, memoryManager, |
| 7776 | inputOutputShape, inputValues, expectedOutputValues, |
| 7777 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7778 | } |
| 7779 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7780 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 7781 | armnn::IWorkloadFactory& workloadFactory, |
| 7782 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7783 | { |
| 7784 | // BatchSize: 1 |
| 7785 | // Height: 3 |
| 7786 | // Width: 2 |
| 7787 | // Channels: 2 |
| 7788 | |
| 7789 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7790 | std::vector<float> inputValues |
| 7791 | { |
| 7792 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7793 | 1.f, 1.f, |
| 7794 | 4.f, 1.f, |
| 7795 | |
| 7796 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7797 | 4.f, 4.f, |
| 7798 | 2.f, 1.f, |
| 7799 | |
| 7800 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7801 | 1.f, -2.f, |
| 7802 | 6.f, 4.f |
| 7803 | }; |
| 7804 | std::vector<float> expectedOutputValues |
| 7805 | { |
| 7806 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7807 | 1.f, 3.f, |
| 7808 | 4.f, 3.f, |
| 7809 | |
| 7810 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7811 | 4.f, 4.f, |
| 7812 | 2.f, 3.f, |
| 7813 | |
| 7814 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7815 | 1.f, 2.f, |
| 7816 | 6.f, 4.f |
| 7817 | }; |
| 7818 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7819 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 7820 | (workloadFactory, memoryManager, |
| 7821 | inputOutputShape, inputValues, expectedOutputValues, |
| 7822 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7823 | } |
| 7824 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7825 | LayerTestResult<uint8_t, 4> ConstantUint8Test( |
| 7826 | armnn::IWorkloadFactory& workloadFactory, |
| 7827 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7828 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7829 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7830 | } |
| 7831 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7832 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 7833 | armnn::IWorkloadFactory& workloadFactory, |
| 7834 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7835 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7836 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7837 | } |
| 7838 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7839 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 7840 | armnn::IWorkloadFactory& workloadFactory, |
| 7841 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7842 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7843 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7844 | } |
| 7845 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7846 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 7847 | armnn::IWorkloadFactory& workloadFactory, |
| 7848 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7849 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7850 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7851 | } |
| 7852 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7853 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 7854 | armnn::IWorkloadFactory& workloadFactory, |
| 7855 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7856 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7857 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7858 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7859 | } |
| 7860 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7861 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 7862 | armnn::IWorkloadFactory& workloadFactory, |
| 7863 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7864 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7865 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7866 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7867 | } |
| 7868 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7869 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 7870 | armnn::IWorkloadFactory& workloadFactory, |
| 7871 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7872 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7873 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7874 | } |
| 7875 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7876 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 7877 | armnn::IWorkloadFactory& workloadFactory, |
| 7878 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7879 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7880 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7881 | } |
| 7882 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7883 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 7884 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7885 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7886 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7887 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7888 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7889 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7890 | } |
| 7891 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7892 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 7893 | armnn::IWorkloadFactory& workloadFactory, |
| 7894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7895 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7896 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7897 | } |
| 7898 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7899 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 7900 | armnn::IWorkloadFactory& workloadFactory, |
| 7901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7902 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7903 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7904 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7905 | } |
| 7906 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7907 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 7908 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7910 | bool useSubtensor) |
| 7911 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7912 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7913 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7914 | } |
| 7915 | |
| 7916 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 7917 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7918 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7919 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7920 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7921 | } |
| 7922 | |
| 7923 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 7924 | armnn::IWorkloadFactory& workloadFactory, |
| 7925 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7926 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7927 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7928 | } |
| 7929 | |
| 7930 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 7931 | armnn::IWorkloadFactory& workloadFactory, |
| 7932 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7933 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7934 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7935 | } |
| 7936 | |
| 7937 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 7938 | armnn::IWorkloadFactory& workloadFactory, |
| 7939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 7940 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7941 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7942 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7943 | } |
| 7944 | |
| 7945 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 7946 | armnn::IWorkloadFactory& workloadFactory, |
| 7947 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7948 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7949 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7950 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7951 | } |
| 7952 | |
| 7953 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 7954 | armnn::IWorkloadFactory& workloadFactory, |
| 7955 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7956 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7957 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7958 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7959 | } |
| 7960 | |
| 7961 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 7962 | armnn::IWorkloadFactory& workloadFactory, |
| 7963 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7964 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7965 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7966 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 7967 | } |
| 7968 | |
| 7969 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 7970 | armnn::IWorkloadFactory& workloadFactory, |
| 7971 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7972 | bool useSubtensor) |
| 7973 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7974 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7975 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7976 | } |
| 7977 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7978 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 7979 | armnn::IWorkloadFactory& workloadFactory, |
| 7980 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7981 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7982 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7983 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 7984 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7985 | } |
| 7986 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7987 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 7988 | armnn::IWorkloadFactory& workloadFactory, |
| 7989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7990 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7991 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7992 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7993 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7994 | } |
| 7995 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7996 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 7997 | armnn::IWorkloadFactory& workloadFactory, |
| 7998 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7999 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8000 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8001 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 8002 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8003 | } |
| 8004 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8005 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 8006 | armnn::IWorkloadFactory& workloadFactory, |
| 8007 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8008 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8009 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8010 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8011 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8012 | } |
| 8013 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8014 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 8015 | armnn::IWorkloadFactory& workloadFactory, |
| 8016 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8017 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8018 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8019 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8020 | } |
| 8021 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8022 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 8023 | armnn::IWorkloadFactory& workloadFactory, |
| 8024 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8025 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8026 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8027 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8028 | } |
| 8029 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8030 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 8031 | armnn::IWorkloadFactory& workloadFactory, |
| 8032 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8033 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8034 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8035 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8036 | } |
| 8037 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8038 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 8039 | armnn::IWorkloadFactory& workloadFactory, |
| 8040 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8041 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8042 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8043 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8044 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8045 | } |
| 8046 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8047 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 8048 | armnn::IWorkloadFactory& workloadFactory, |
| 8049 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8050 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8051 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8052 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8053 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8054 | } |
| 8055 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8056 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 8057 | armnn::IWorkloadFactory& workloadFactory, |
| 8058 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8059 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8060 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8061 | } |
| 8062 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8063 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 8064 | armnn::IWorkloadFactory& workloadFactory, |
| 8065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8066 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8067 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8068 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8069 | } |
| 8070 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8071 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 8072 | armnn::IWorkloadFactory& workloadFactory, |
| 8073 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8074 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8075 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8076 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8077 | } |
| 8078 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8079 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 8080 | armnn::IWorkloadFactory& workloadFactory, |
| 8081 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8082 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8083 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8084 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8085 | } |
| 8086 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8087 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 8088 | armnn::IWorkloadFactory& workloadFactory, |
| 8089 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8090 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8091 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8092 | } |
| 8093 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8094 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 8095 | armnn::IWorkloadFactory& workloadFactory, |
| 8096 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8097 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8098 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8099 | } |
| 8100 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8101 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 8102 | armnn::IWorkloadFactory& workloadFactory, |
| 8103 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8104 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8105 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8106 | } |
| 8107 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8108 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 8109 | armnn::IWorkloadFactory& workloadFactory, |
| 8110 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8111 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8112 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8113 | } |
| 8114 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8115 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 8116 | armnn::IWorkloadFactory& workloadFactory, |
| 8117 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8118 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8119 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8120 | } |
| 8121 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8122 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 8123 | armnn::IWorkloadFactory& workloadFactory, |
| 8124 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8125 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8126 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8127 | } |
| 8128 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8129 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 8130 | armnn::IWorkloadFactory& workloadFactory, |
| 8131 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8132 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8133 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8134 | } |
| 8135 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8136 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 8137 | armnn::IWorkloadFactory& workloadFactory, |
| 8138 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8139 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8140 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8141 | } |
| 8142 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8143 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 8144 | armnn::IWorkloadFactory& workloadFactory, |
| 8145 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8146 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8147 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8148 | } |
| 8149 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8150 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 8151 | armnn::IWorkloadFactory& workloadFactory, |
| 8152 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8153 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8154 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8155 | } |
| 8156 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8157 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 8158 | armnn::IWorkloadFactory& workloadFactory, |
| 8159 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8160 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8161 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8162 | } |
| 8163 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8164 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 8165 | armnn::IWorkloadFactory& workloadFactory, |
| 8166 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8167 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8168 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8169 | } |
| 8170 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8171 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 8172 | armnn::IWorkloadFactory& workloadFactory, |
| 8173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8174 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8175 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8176 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8177 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8178 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8179 | } |
| 8180 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8181 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 8182 | armnn::IWorkloadFactory& workloadFactory, |
| 8183 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8184 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8185 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8186 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8187 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8188 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8189 | } |
| 8190 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8191 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 8192 | armnn::IWorkloadFactory& workloadFactory, |
| 8193 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8194 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8195 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8196 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8197 | } |
| 8198 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8199 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 8200 | armnn::IWorkloadFactory& workloadFactory, |
| 8201 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8202 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8203 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8204 | } |
| 8205 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8206 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 8207 | armnn::IWorkloadFactory& workloadFactory, |
| 8208 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8209 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8210 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8211 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8212 | } |
| 8213 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8214 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 8215 | armnn::IWorkloadFactory& workloadFactory, |
| 8216 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8217 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8218 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8219 | } |
| 8220 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8221 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 8222 | armnn::IWorkloadFactory& workloadFactory, |
| 8223 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8224 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8225 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8226 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8227 | } |
| 8228 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8229 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 8230 | armnn::IWorkloadFactory& workloadFactory, |
| 8231 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8232 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8233 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8234 | } |
| 8235 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8236 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 8237 | armnn::IWorkloadFactory& workloadFactory, |
| 8238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8239 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8240 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8241 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8242 | } |
| 8243 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8244 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 8245 | armnn::IWorkloadFactory& workloadFactory, |
| 8246 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8247 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8248 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 8249 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8250 | } |
| 8251 | |
| 8252 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8253 | armnn::IWorkloadFactory& workloadFactory, |
| 8254 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8255 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8256 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8257 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8258 | } |
| 8259 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8260 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 8261 | armnn::IWorkloadFactory& workloadFactory, |
| 8262 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8263 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8264 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8265 | } |
| 8266 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8267 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 8268 | armnn::IWorkloadFactory& workloadFactory, |
| 8269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8270 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8271 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8272 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8273 | } |
| 8274 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8275 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 8276 | armnn::IWorkloadFactory& workloadFactory, |
| 8277 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8278 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8279 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8280 | } |
| 8281 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8282 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 8283 | armnn::IWorkloadFactory& workloadFactory, |
| 8284 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8285 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8286 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8287 | } |
| 8288 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8289 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 8290 | armnn::IWorkloadFactory& workloadFactory, |
| 8291 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8292 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8293 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8294 | } |
| 8295 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8296 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 8297 | armnn::IWorkloadFactory& workloadFactory, |
| 8298 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8299 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8300 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8301 | } |
| 8302 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8303 | LayerTestResult<float, 4> SimplePermuteFloat32Test( |
| 8304 | armnn::IWorkloadFactory& workloadFactory, |
| 8305 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8306 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8307 | return SimplePermuteFloat32TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8308 | }; |
| 8309 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8310 | LayerTestResult<uint8_t, 4> SimplePermuteUint8Test( |
| 8311 | armnn::IWorkloadFactory& workloadFactory, |
| 8312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8313 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8314 | return SimplePermuteUint8TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8315 | }; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8316 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8317 | LayerTestResult<float, 4> PermuteFloat32ValueSet1Test( |
| 8318 | armnn::IWorkloadFactory& workloadFactory, |
| 8319 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8320 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8321 | return PermuteFloat32ValueSet1TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8322 | }; |
| 8323 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8324 | LayerTestResult<float, 4> PermuteFloat32ValueSet2Test( |
| 8325 | armnn::IWorkloadFactory& workloadFactory, |
| 8326 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8327 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8328 | return PermuteFloat32ValueSet2TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8329 | }; |
| 8330 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8331 | LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( |
| 8332 | armnn::IWorkloadFactory& workloadFactory, |
| 8333 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8334 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8335 | return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8336 | }; |
| 8337 | |
| 8338 | namespace |
| 8339 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8340 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8341 | template <typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8342 | LayerTestResult<T, OutputDim> MeanTestHelper( |
| 8343 | armnn::IWorkloadFactory& workloadFactory, |
| 8344 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8345 | const unsigned int* inputShape, |
| 8346 | const std::vector<T>& inputData, |
| 8347 | const std::vector<unsigned int>& axis, |
| 8348 | bool keepDims, |
| 8349 | const unsigned int* outputShape, |
| 8350 | const std::vector<T>& outputData, |
| 8351 | float scale = 1.0f, |
| 8352 | int32_t offset = 0) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8353 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8354 | 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] | 8355 | |
| 8356 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 8357 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 8358 | |
| 8359 | inputTensorInfo.SetQuantizationScale(scale); |
| 8360 | inputTensorInfo.SetQuantizationOffset(offset); |
| 8361 | |
| 8362 | outputTensorInfo.SetQuantizationScale(scale); |
| 8363 | outputTensorInfo.SetQuantizationOffset(offset); |
| 8364 | |
| 8365 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 8366 | |
| 8367 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 8368 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 8369 | |
| 8370 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 8371 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8372 | |
| 8373 | armnn::MeanQueueDescriptor data; |
| 8374 | data.m_Parameters.m_Axis = axis; |
| 8375 | data.m_Parameters.m_KeepDims = keepDims; |
| 8376 | armnn::WorkloadInfo info; |
| 8377 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 8378 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8379 | |
| 8380 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); |
| 8381 | |
| 8382 | inputHandle->Allocate(); |
| 8383 | outputHandle->Allocate(); |
| 8384 | |
| 8385 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 8386 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8387 | workload->Execute(); |
| 8388 | |
| 8389 | CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| 8390 | |
| 8391 | return result; |
| 8392 | } |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8393 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8394 | } // anonymous namespace |
| 8395 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8396 | LayerTestResult<uint8_t, 1> MeanUint8SimpleTest( |
| 8397 | armnn::IWorkloadFactory& workloadFactory, |
| 8398 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8399 | { |
| 8400 | const unsigned int inputShape[] = { 3, 2 }; |
| 8401 | const unsigned int outputShape[] = { 1 }; |
| 8402 | |
| 8403 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8404 | std::vector<uint8_t> output({ 2 }); |
| 8405 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8406 | return MeanTestHelper<uint8_t, 2, 1>( |
| 8407 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8408 | } |
| 8409 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8410 | LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest( |
| 8411 | armnn::IWorkloadFactory& workloadFactory, |
| 8412 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8413 | { |
| 8414 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8415 | const unsigned int outputShape[] = { 1, 1, 2 }; |
| 8416 | |
| 8417 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8418 | std::vector<uint8_t> output({ 2, 2 }); |
| 8419 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8420 | return MeanTestHelper<uint8_t, 4, 3>( |
| 8421 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8422 | } |
| 8423 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8424 | LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest( |
| 8425 | armnn::IWorkloadFactory& workloadFactory, |
| 8426 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8427 | { |
| 8428 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8429 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8430 | |
| 8431 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8432 | std::vector<uint8_t> output({ 2, 2 }); |
| 8433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8434 | return MeanTestHelper<uint8_t, 4, 4>( |
| 8435 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8436 | } |
| 8437 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8438 | LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest( |
| 8439 | armnn::IWorkloadFactory& workloadFactory, |
| 8440 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8441 | { |
| 8442 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8443 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8444 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8445 | 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] | 8446 | std::vector<uint8_t> output({ 1, 3, 5 }); |
| 8447 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8448 | return MeanTestHelper<uint8_t, 4, 4>( |
| 8449 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8450 | } |
| 8451 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8452 | LayerTestResult<uint8_t, 1> MeanVtsUint8Test( |
| 8453 | armnn::IWorkloadFactory& workloadFactory, |
| 8454 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8455 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8456 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8457 | const unsigned int outputShape[] = { 2 }; |
| 8458 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8459 | 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, |
| 8460 | 24 }); |
| 8461 | std::vector<uint8_t> output({ 12, 13 }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8462 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8463 | return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, memoryManager, |
| 8464 | inputShape, input, { 0, 1 }, false, outputShape, |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8465 | output, 0.8f, 5); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8466 | } |
| 8467 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8468 | LayerTestResult<float, 1> MeanFloatSimpleTest( |
| 8469 | armnn::IWorkloadFactory& workloadFactory, |
| 8470 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8471 | { |
| 8472 | const unsigned int inputShape[] = { 3, 2 }; |
| 8473 | const unsigned int outputShape[] = { 1 }; |
| 8474 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8475 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8476 | std::vector<float> output({ 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8477 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8478 | return MeanTestHelper<float, 2, 1>( |
| 8479 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8480 | } |
| 8481 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8482 | LayerTestResult<float, 3> MeanFloatSimpleAxisTest( |
| 8483 | armnn::IWorkloadFactory& workloadFactory, |
| 8484 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8485 | { |
| 8486 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8487 | const unsigned int outputShape[] = { 3, 1, 2 }; |
| 8488 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8489 | 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 }); |
| 8490 | 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] | 8491 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8492 | return MeanTestHelper<float, 4, 3>( |
| 8493 | workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8494 | } |
| 8495 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8496 | LayerTestResult<float, 4> MeanFloatKeepDimsTest( |
| 8497 | armnn::IWorkloadFactory& workloadFactory, |
| 8498 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8499 | { |
| 8500 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8501 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8502 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8503 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8504 | std::vector<float> output({ 2.0f, 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8505 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8506 | return MeanTestHelper<float, 4, 4>( |
| 8507 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8508 | } |
| 8509 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8510 | LayerTestResult<float, 4> MeanFloatMultipleDimsTest( |
| 8511 | armnn::IWorkloadFactory& workloadFactory, |
| 8512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8513 | { |
| 8514 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8515 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8516 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8517 | 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 }); |
| 8518 | std::vector<float> output({ 1.5f, 3.5f, 5.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8519 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8520 | return MeanTestHelper<float, 4, 4>( |
| 8521 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8522 | } |
| 8523 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8524 | LayerTestResult<float, 1> MeanVtsFloat1Test( |
| 8525 | armnn::IWorkloadFactory& workloadFactory, |
| 8526 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8527 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8528 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8529 | const unsigned int outputShape[] = { 2 }; |
| 8530 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8531 | 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, |
| 8532 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8533 | std::vector<float> output({ 12.0f, 13.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8534 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8535 | return MeanTestHelper<float, 3, 1>( |
| 8536 | workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8537 | } |
| 8538 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8539 | LayerTestResult<float, 3> MeanVtsFloat2Test( |
| 8540 | armnn::IWorkloadFactory& workloadFactory, |
| 8541 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8542 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8543 | const unsigned int inputShape[] = { 4, 3, 2 }; |
| 8544 | const unsigned int outputShape[] = { 1, 3, 1 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8545 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8546 | 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, |
| 8547 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8548 | std::vector<float> output({ 10.5f, 12.5f, 14.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8549 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8550 | return MeanTestHelper<float, 3, 3>( |
| 8551 | workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8552 | } |
| 8553 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8554 | LayerTestResult<float, 3> MeanVtsFloat3Test( |
| 8555 | armnn::IWorkloadFactory& workloadFactory, |
| 8556 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8557 | { |
| 8558 | const unsigned int inputShape[] = { 1, 2, 2, 1 }; |
| 8559 | const unsigned int outputShape[] = { 1, 2, 1 }; |
| 8560 | |
| 8561 | std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); |
| 8562 | std::vector<float> output({ 1.5f, 3.5f }); |
| 8563 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8564 | return MeanTestHelper<float, 4, 3>( |
| 8565 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8566 | } |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8567 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8568 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 8569 | armnn::IWorkloadFactory& workloadFactory, |
| 8570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8571 | { |
| 8572 | // Create Initial Tensor |
| 8573 | // 1, 2, 3 |
| 8574 | // 4, 5, 6 |
| 8575 | // 7, 8, 9 |
| 8576 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8577 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 8578 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8579 | |
| 8580 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 8581 | {1, 2, 3, |
| 8582 | 4, 5, 6, |
| 8583 | 7, 8, 9 |
| 8584 | }); |
| 8585 | |
| 8586 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 8587 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 8588 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 8589 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 8590 | |
| 8591 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 8592 | // Result = |
| 8593 | // 1, 3 |
| 8594 | // 7, 9 |
| 8595 | armnn::Pooling2dDescriptor descriptor; |
| 8596 | descriptor.m_PoolHeight = 1; |
| 8597 | descriptor.m_PoolWidth = 1; |
| 8598 | descriptor.m_StrideX = 2; |
| 8599 | descriptor.m_StrideY = 2; |
| 8600 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 8601 | |
| 8602 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 8603 | queueDescriptor.m_Parameters = descriptor; |
| 8604 | armnn::WorkloadInfo workloadInfo; |
| 8605 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 8606 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8607 | |
| 8608 | // Create the MaxPool |
| 8609 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 8610 | |
| 8611 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 8612 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 8613 | boost::multi_array<float, 4> resultMaxPool; |
| 8614 | resultMaxPool.resize(shape); |
| 8615 | |
| 8616 | |
| 8617 | // Create addition with another tensor the same size |
| 8618 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 8619 | // with the initial tensor. |
| 8620 | // 12, 16 |
| 8621 | // 24, 28 |
| 8622 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8623 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 8624 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8625 | |
| 8626 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 8627 | {12, 16, |
| 8628 | 24, 28, |
| 8629 | }); |
| 8630 | |
| 8631 | // Expected output tensor after MaxPool and Addition. |
| 8632 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 8633 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 8634 | { |
| 8635 | 13, 19, |
| 8636 | 31, 37 |
| 8637 | })); |
| 8638 | |
| 8639 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 8640 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 8641 | |
| 8642 | armnn::AdditionQueueDescriptor data; |
| 8643 | armnn::WorkloadInfo info; |
| 8644 | |
| 8645 | // Add the output of the MaxPool and the new tensor |
| 8646 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8647 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 8648 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 8649 | |
| 8650 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 8651 | |
| 8652 | poolingInputHandle->Allocate(); |
| 8653 | poolingOutputHandle->Allocate(); |
| 8654 | addInputHandle->Allocate(); |
| 8655 | addOutputHandle->Allocate(); |
| 8656 | |
| 8657 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 8658 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 8659 | |
| 8660 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 8661 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 8662 | |
| 8663 | workload->Execute(); |
| 8664 | addWorkload->Execute(); |
| 8665 | |
| 8666 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 8667 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8668 | return addRet; |
| 8669 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8670 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8671 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 8672 | armnn::IWorkloadFactory& workloadFactory, |
| 8673 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8674 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8675 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8676 | } |
| 8677 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8678 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 8679 | armnn::IWorkloadFactory& workloadFactory, |
| 8680 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8681 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8682 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8683 | } |
| 8684 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8685 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 8686 | armnn::IWorkloadFactory& workloadFactory, |
| 8687 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8688 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8689 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8690 | } |
| 8691 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8692 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 8693 | armnn::IWorkloadFactory& workloadFactory, |
| 8694 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8695 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8696 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8697 | } |
| 8698 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8699 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 8700 | armnn::IWorkloadFactory& workloadFactory, |
| 8701 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8702 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8703 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8704 | } |
| 8705 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8706 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 8707 | armnn::IWorkloadFactory& workloadFactory, |
| 8708 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8709 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8710 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8711 | } |
| 8712 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8713 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 8714 | armnn::IWorkloadFactory& workloadFactory, |
| 8715 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8716 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8717 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8718 | } |
| 8719 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8720 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 8721 | armnn::IWorkloadFactory& workloadFactory, |
| 8722 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8723 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8724 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8725 | } |
| 8726 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8727 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 8728 | armnn::IWorkloadFactory& workloadFactory, |
| 8729 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8730 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8731 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8732 | } |
| 8733 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8734 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 8735 | armnn::IWorkloadFactory& workloadFactory, |
| 8736 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8737 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8738 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8739 | } |
| 8740 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8741 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 8742 | armnn::IWorkloadFactory& workloadFactory, |
| 8743 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8744 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8745 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8746 | } |
| 8747 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8748 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 8749 | armnn::IWorkloadFactory& workloadFactory, |
| 8750 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8751 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8752 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8753 | } |
| 8754 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8755 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 8756 | armnn::IWorkloadFactory& workloadFactory, |
| 8757 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8758 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8759 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8760 | } |
| 8761 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8762 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 8763 | armnn::IWorkloadFactory& workloadFactory, |
| 8764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8765 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8766 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8767 | } |
| 8768 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8769 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 8770 | armnn::IWorkloadFactory& workloadFactory, |
| 8771 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8772 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8773 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8774 | } |
| 8775 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8776 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 8777 | armnn::IWorkloadFactory& workloadFactory, |
| 8778 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8779 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8780 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8781 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8782 | |
| 8783 | namespace { |
| 8784 | |
| 8785 | template<typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8786 | LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( |
| 8787 | armnn::IWorkloadFactory &workloadFactory, |
| 8788 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8789 | const armnn::DataLayout& dataLayout, |
| 8790 | const unsigned int *inputShape, |
| 8791 | const std::vector<T> &inputData, |
| 8792 | const std::vector<unsigned int> &blockShape, |
| 8793 | const std::vector<std::pair<unsigned int, unsigned int>> &crops, |
| 8794 | const unsigned int *outputShape, |
| 8795 | const std::vector<T> &outputData, |
| 8796 | float scale = 1.0f, |
| 8797 | int32_t offset = 0) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8798 | { |
| 8799 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
| 8800 | |
| 8801 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 8802 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 8803 | |
| 8804 | inputTensorInfo.SetQuantizationScale(scale); |
| 8805 | inputTensorInfo.SetQuantizationOffset(offset); |
| 8806 | |
| 8807 | outputTensorInfo.SetQuantizationScale(scale); |
| 8808 | outputTensorInfo.SetQuantizationOffset(offset); |
| 8809 | |
| 8810 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 8811 | |
| 8812 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 8813 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 8814 | |
| 8815 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 8816 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8817 | |
| 8818 | armnn::BatchToSpaceNdQueueDescriptor data; |
| 8819 | data.m_Parameters.m_DataLayout = dataLayout; |
| 8820 | data.m_Parameters.m_BlockShape = blockShape; |
| 8821 | data.m_Parameters.m_Crops = crops; |
| 8822 | armnn::WorkloadInfo info; |
| 8823 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 8824 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8825 | |
| 8826 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); |
| 8827 | |
| 8828 | inputHandle->Allocate(); |
| 8829 | outputHandle->Allocate(); |
| 8830 | |
| 8831 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 8832 | |
| 8833 | workload->Execute(); |
| 8834 | |
| 8835 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 8836 | |
| 8837 | return result; |
| 8838 | } |
| 8839 | |
| 8840 | } // anonymous namespace |
| 8841 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8842 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( |
| 8843 | armnn::IWorkloadFactory& workloadFactory, |
| 8844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8845 | { |
| 8846 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8847 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8848 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8849 | std::vector<float> input({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8850 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8851 | 1.0f, 3.0f, |
| 8852 | // Batch 0, Height 1, Width (2) x Channel (1) |
| 8853 | 9.0f, 11.0f, |
| 8854 | |
| 8855 | |
| 8856 | // Batch 1, Height 0, Width (2) x Channel (1) |
| 8857 | 2.0f, 4.0f, |
| 8858 | // Batch 1, Height 1, Width (2) x Channel (1) |
| 8859 | 10.0f, 12.0f, |
| 8860 | |
| 8861 | |
| 8862 | // Batch 2, Height 0, Width (2) x Channel (1) |
| 8863 | 5.0f, 7.0f, |
| 8864 | // Batch 2, Height 1, Width (2) x Channel (1) |
| 8865 | 13.0f, 15.0f, |
| 8866 | |
| 8867 | // Batch 3, Height 0, Width (2) x Channel (3) |
| 8868 | 6.0f, 8.0f, |
| 8869 | // Batch 3, Height 1, Width (2) x Channel (1) |
| 8870 | 14.0f, 16.0f |
| 8871 | }); |
| 8872 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8873 | std::vector<float> expectedOutput({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8874 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 8875 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 8876 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 8877 | 13.0f, 14.0f, 15.0f, 16.0f |
| 8878 | }); |
| 8879 | |
| 8880 | std::vector<unsigned int> blockShape {2, 2}; |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8881 | 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] | 8882 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8883 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8884 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8885 | crops, outputShape, expectedOutput); |
| 8886 | } |
| 8887 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8888 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( |
| 8889 | armnn::IWorkloadFactory& workloadFactory, |
| 8890 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8891 | { |
| 8892 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 8893 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 8894 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8895 | std::vector<float> input({ |
| 8896 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 8897 | 1.0f, 2.0f, 3.0f, 4.0f |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8898 | }); |
| 8899 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8900 | 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] | 8901 | |
| 8902 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8903 | 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] | 8904 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8905 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8906 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8907 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8908 | } |
| 8909 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8910 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( |
| 8911 | armnn::IWorkloadFactory& workloadFactory, |
| 8912 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8913 | { |
| 8914 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 8915 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 8916 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8917 | 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] | 8918 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8919 | 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] | 8920 | |
| 8921 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8922 | 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] | 8923 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8924 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8925 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8926 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8927 | } |
| 8928 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8929 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( |
| 8930 | armnn::IWorkloadFactory& workloadFactory, |
| 8931 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8932 | { |
| 8933 | const unsigned int inputShape[] = {8, 1, 3, 1}; |
| 8934 | const unsigned int outputShape[] = {2, 2, 4, 1}; |
| 8935 | |
| 8936 | std::vector<float> input({ |
| 8937 | 0.0f, 1.0f, 3.0f, |
| 8938 | 0.0f, 9.0f, 11.0f, |
| 8939 | 0.0f, 2.0f, 4.0f, |
| 8940 | 0.0f, 10.0f, 12.0f, |
| 8941 | 0.0f, 5.0f, 7.0f, |
| 8942 | 0.0f, 13.0f, 15.0f, |
| 8943 | 0.0f, 6.0f, 8.0f, |
| 8944 | 0.0f, 14.0f, 16.0f |
| 8945 | }); |
| 8946 | |
| 8947 | std::vector<float> expectedOutput({ |
| 8948 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 8949 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 8950 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 8951 | 13.0f, 14.0f, 15.0f, 16.0f |
| 8952 | }); |
| 8953 | |
| 8954 | std::vector<unsigned int> blockShape({2, 2}); |
| 8955 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 8956 | |
| 8957 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8958 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 8959 | crops, outputShape, expectedOutput); |
| 8960 | } |
| 8961 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8962 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( |
| 8963 | armnn::IWorkloadFactory &workloadFactory, |
| 8964 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8965 | { |
| 8966 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 8967 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 8968 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8969 | 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] | 8970 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8971 | std::vector<float> expectedOutput({ |
| 8972 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 8973 | 1.0f, 4.0f, |
| 8974 | 7.0f, 10.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8975 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8976 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 8977 | 2.0f, 5.0f, |
| 8978 | 8.0f, 11.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8979 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8980 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 8981 | 3.0f, 6.0f, |
| 8982 | 9.0f, 12.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8983 | }); |
| 8984 | |
| 8985 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 8986 | 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] | 8987 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8988 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 8989 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 8990 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8991 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 8992 | |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8993 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 8994 | armnn::IWorkloadFactory& workloadFactory, |
| 8995 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 8996 | { |
| 8997 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 8998 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 8999 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9000 | std::vector<float> input({ |
| 9001 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9002 | 1.0f, 2.0f, 3.0f, 4.0f |
| 9003 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9004 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9005 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9006 | |
| 9007 | std::vector<unsigned int> blockShape({2, 2}); |
| 9008 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9009 | |
| 9010 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9011 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9012 | crops, outputShape, expectedOutput); |
| 9013 | } |
| 9014 | |
| 9015 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9016 | armnn::IWorkloadFactory& workloadFactory, |
| 9017 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9018 | { |
| 9019 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9020 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9021 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9022 | 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] | 9023 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9024 | std::vector<float> expectedOutput({ |
| 9025 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9026 | 1.0f, 7.0f, |
| 9027 | 2.0f, 8.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9028 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9029 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9030 | 3.0f, 9.0f, |
| 9031 | 4.0f, 10.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9032 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9033 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9034 | 5.0f, 11.0f, |
| 9035 | 6.0f, 12.0f, |
| 9036 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9037 | |
| 9038 | std::vector<unsigned int> blockShape({2, 2}); |
| 9039 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9040 | |
| 9041 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9042 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9043 | crops, outputShape, expectedOutput); |
| 9044 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9045 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9046 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( |
| 9047 | armnn::IWorkloadFactory& workloadFactory, |
| 9048 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9049 | { |
| 9050 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
| 9051 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
| 9052 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9053 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); |
| 9054 | 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] | 9055 | |
| 9056 | std::vector<unsigned int> blockShape({2, 2}); |
| 9057 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9058 | |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 9059 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, |
| 9060 | input, blockShape, crops, outputShape, expectedOutput); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9061 | } |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9062 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9063 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( |
| 9064 | armnn::IWorkloadFactory& workloadFactory, |
| 9065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9066 | { |
| 9067 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9068 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9069 | |
| 9070 | std::vector<uint8_t> input({ |
| 9071 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9072 | 1, 2, 3, 4 |
| 9073 | }); |
| 9074 | |
| 9075 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9076 | |
| 9077 | std::vector<unsigned int> blockShape({2, 2}); |
| 9078 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9079 | |
| 9080 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9081 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9082 | crops, outputShape, expectedOutput); |
| 9083 | } |
| 9084 | |
| 9085 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( |
| 9086 | armnn::IWorkloadFactory& workloadFactory, |
| 9087 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9088 | { |
| 9089 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9090 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9091 | |
| 9092 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9093 | |
| 9094 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9095 | |
| 9096 | std::vector<unsigned int> blockShape({2, 2}); |
| 9097 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9098 | |
| 9099 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9100 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9101 | crops, outputShape, expectedOutput); |
| 9102 | } |
| 9103 | |
| 9104 | |
| 9105 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( |
| 9106 | armnn::IWorkloadFactory &workloadFactory, |
| 9107 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9108 | { |
| 9109 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9110 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9111 | |
| 9112 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9113 | |
| 9114 | std::vector<uint8_t> expectedOutput({ |
| 9115 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9116 | 1, 4, |
| 9117 | 7, 10, |
| 9118 | |
| 9119 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9120 | 2, 5, |
| 9121 | 8, 11, |
| 9122 | |
| 9123 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9124 | 3, 6, |
| 9125 | 9, 12, |
| 9126 | }); |
| 9127 | |
| 9128 | std::vector<unsigned int> blockShape({2, 2}); |
| 9129 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9130 | |
| 9131 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9132 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9133 | crops, outputShape, expectedOutput); |
| 9134 | } |
| 9135 | |
| 9136 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( |
| 9137 | armnn::IWorkloadFactory& workloadFactory, |
| 9138 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9139 | { |
| 9140 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9141 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9142 | |
| 9143 | std::vector<uint8_t> input({ |
| 9144 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9145 | 1, 2, 3, 4 |
| 9146 | }); |
| 9147 | |
| 9148 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9149 | |
| 9150 | std::vector<unsigned int> blockShape({2, 2}); |
| 9151 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9152 | |
| 9153 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9154 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9155 | crops, outputShape, expectedOutput); |
| 9156 | } |
| 9157 | |
| 9158 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( |
| 9159 | armnn::IWorkloadFactory& workloadFactory, |
| 9160 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9161 | { |
| 9162 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9163 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9164 | |
| 9165 | std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); |
| 9166 | |
| 9167 | std::vector<uint8_t> expectedOutput({ |
| 9168 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9169 | 1, 7, |
| 9170 | 2, 8, |
| 9171 | |
| 9172 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9173 | 3, 9, |
| 9174 | 4, 10, |
| 9175 | |
| 9176 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9177 | 5, 11, |
| 9178 | 6, 12, |
| 9179 | }); |
| 9180 | |
| 9181 | std::vector<unsigned int> blockShape({2, 2}); |
| 9182 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9183 | |
| 9184 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9185 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9186 | crops, outputShape, expectedOutput); |
| 9187 | } |
| 9188 | |
| 9189 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( |
| 9190 | armnn::IWorkloadFactory& workloadFactory, |
| 9191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9192 | { |
| 9193 | const unsigned int inputShape[] = {8, 1, 1, 3}; |
| 9194 | const unsigned int outputShape[] = {2, 1, 2, 4}; |
| 9195 | |
| 9196 | std::vector<uint8_t> input({ |
| 9197 | 0, 1, 3, 0, 9, 11, |
| 9198 | 0, 2, 4, 0, 10, 12, |
| 9199 | 0, 5, 7, 0, 13, 15, |
| 9200 | 0, 6, 8, 0, 14, 16 |
| 9201 | }); |
| 9202 | |
| 9203 | std::vector<uint8_t> expectedOutput({ |
| 9204 | 1, 2, 3, 4, |
| 9205 | 5, 6, 7, 8, |
| 9206 | 9, 10, 11, 12, |
| 9207 | 13, 14, 15, 16 |
| 9208 | }); |
| 9209 | |
| 9210 | std::vector<unsigned int> blockShape({2, 2}); |
| 9211 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9212 | |
| 9213 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9214 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9215 | crops, outputShape, expectedOutput); |
| 9216 | } |
| 9217 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9218 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9219 | armnn::IWorkloadFactory& workloadFactory, |
| 9220 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9221 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9222 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9223 | } |
| 9224 | |
| 9225 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9226 | armnn::IWorkloadFactory& workloadFactory, |
| 9227 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9228 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9229 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9230 | } |
| 9231 | |
| 9232 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9233 | armnn::IWorkloadFactory& workloadFactory, |
| 9234 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9235 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9236 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9237 | } |
| 9238 | |
| 9239 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9240 | armnn::IWorkloadFactory& workloadFactory, |
| 9241 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9242 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9243 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9244 | } |
| 9245 | |
| 9246 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 9247 | armnn::IWorkloadFactory& workloadFactory, |
| 9248 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9249 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9250 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9251 | } |
| 9252 | |
| 9253 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 9254 | armnn::IWorkloadFactory& workloadFactory, |
| 9255 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9256 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9257 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9258 | } |
| 9259 | |
| 9260 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 9261 | armnn::IWorkloadFactory& workloadFactory, |
| 9262 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9263 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9264 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9265 | } |
| 9266 | |
| 9267 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 9268 | armnn::IWorkloadFactory& workloadFactory, |
| 9269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9270 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9271 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9272 | } |
| 9273 | |
| 9274 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 9275 | armnn::IWorkloadFactory& workloadFactory, |
| 9276 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9277 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9278 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9279 | } |
| 9280 | |
| 9281 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 9282 | armnn::IWorkloadFactory& workloadFactory, |
| 9283 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9284 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9285 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9286 | } |
| 9287 | |
| 9288 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 9289 | armnn::IWorkloadFactory& workloadFactory, |
| 9290 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9291 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9292 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9293 | } |
| 9294 | |
| 9295 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 9296 | armnn::IWorkloadFactory& workloadFactory, |
| 9297 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9298 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9299 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9300 | } |
| 9301 | |
| 9302 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 9303 | armnn::IWorkloadFactory& workloadFactory, |
| 9304 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9305 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9306 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9307 | } |
| 9308 | |
| 9309 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 9310 | armnn::IWorkloadFactory& workloadFactory, |
| 9311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9312 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9313 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9314 | } |
| 9315 | |
| 9316 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 9317 | armnn::IWorkloadFactory& workloadFactory, |
| 9318 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9319 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9320 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9321 | } |
| 9322 | |
| 9323 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 9324 | armnn::IWorkloadFactory& workloadFactory, |
| 9325 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9326 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9327 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9328 | } |
| 9329 | |
| 9330 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 9331 | armnn::IWorkloadFactory& workloadFactory, |
| 9332 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9333 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9334 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9335 | } |
| 9336 | |
| 9337 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 9338 | armnn::IWorkloadFactory& workloadFactory, |
| 9339 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9340 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9341 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9342 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9343 | |
| 9344 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 9345 | armnn::IWorkloadFactory& workloadFactory, |
| 9346 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9347 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9348 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9349 | } |
| 9350 | |
| 9351 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 9352 | armnn::IWorkloadFactory& workloadFactory, |
| 9353 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9354 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9355 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9356 | } |
| 9357 | |
| 9358 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 9359 | armnn::IWorkloadFactory& workloadFactory, |
| 9360 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9361 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9362 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9363 | } |
| 9364 | |
| 9365 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 9366 | armnn::IWorkloadFactory& workloadFactory, |
| 9367 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9368 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9369 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9370 | } |
| 9371 | |
| 9372 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 9373 | armnn::IWorkloadFactory& workloadFactory, |
| 9374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9375 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9376 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9377 | } |
| 9378 | |
| 9379 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 9380 | armnn::IWorkloadFactory& workloadFactory, |
| 9381 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9382 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9383 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9384 | } |
| 9385 | |
| 9386 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 9387 | armnn::IWorkloadFactory& workloadFactory, |
| 9388 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9389 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9390 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9391 | } |
| 9392 | |
| 9393 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 9394 | armnn::IWorkloadFactory& workloadFactory, |
| 9395 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9396 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9397 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9398 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 9399 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 9400 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 9401 | armnn::IWorkloadFactory& workloadFactory, |
| 9402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9403 | { |
| 9404 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9405 | } |
| 9406 | |
| 9407 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 9408 | armnn::IWorkloadFactory& workloadFactory, |
| 9409 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9410 | { |
| 9411 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9412 | } |
| 9413 | |
| 9414 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 9415 | armnn::IWorkloadFactory& workloadFactory, |
| 9416 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9417 | { |
| 9418 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9419 | } |
| 9420 | |
| 9421 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 9422 | armnn::IWorkloadFactory& workloadFactory, |
| 9423 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9424 | { |
| 9425 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9426 | } |
| 9427 | |
| 9428 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 9429 | armnn::IWorkloadFactory& workloadFactory, |
| 9430 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9431 | { |
| 9432 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9433 | } |
| 9434 | |
| 9435 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 9436 | armnn::IWorkloadFactory& workloadFactory, |
| 9437 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9438 | { |
| 9439 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9440 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 9441 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9442 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9443 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9444 | armnn::IWorkloadFactory& workloadFactory, |
| 9445 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9446 | { |
| 9447 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9448 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9449 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9450 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 9451 | armnn::IWorkloadFactory& workloadFactory, |
| 9452 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9453 | { |
| 9454 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9455 | } |
| 9456 | |
| 9457 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 9458 | armnn::IWorkloadFactory& workloadFactory, |
| 9459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9460 | { |
| 9461 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9462 | } |
| 9463 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9464 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 9465 | armnn::IWorkloadFactory& workloadFactory, |
| 9466 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9467 | { |
| 9468 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9469 | } |
| 9470 | |
| 9471 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 9472 | armnn::IWorkloadFactory& workloadFactory, |
| 9473 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9474 | { |
| 9475 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9476 | } |
| 9477 | |
| 9478 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 9479 | armnn::IWorkloadFactory& workloadFactory, |
| 9480 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9481 | { |
| 9482 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9483 | } |