telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | #include "LayerTests.hpp" |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6 | #include "WorkloadTestUtils.hpp" |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7 | #include "TensorUtils.hpp" |
Aron Virginas-Tar | d4f0fea | 2019-04-09 14:08:06 +0100 | [diff] [blame] | 8 | #include <ResolveType.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9 | |
| 10 | #include "test/TensorHelpers.hpp" |
| 11 | #include "TensorCopyUtils.hpp" |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 12 | #include "Permute.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | |
| 14 | #include <boost/test/unit_test.hpp> |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 15 | #include <boost/assert.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 16 | |
David Beck | 711fa31 | 2018-09-24 10:46:38 +0100 | [diff] [blame] | 17 | #include <armnn/LayerSupport.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 19 | #include <backendsCommon/CpuTensorHandle.hpp> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 20 | #include <backendsCommon/IBackendInternal.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 21 | #include <backendsCommon/WorkloadFactory.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 23 | #include <reference/workloads/RefWorkloads.hpp> |
| 24 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | #include <algorithm> |
| 26 | #include <boost/cast.hpp> |
| 27 | |
| 28 | #include "WorkloadTestUtils.hpp" |
| 29 | #include "Conv2dTestImpl.hpp" |
| 30 | #include "BatchNormTestImpl.hpp" |
| 31 | #include "ActivationTestImpl.hpp" |
| 32 | #include "Pooling2dTestImpl.hpp" |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame] | 33 | #include "FloorTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 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>> |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 82 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 83 | { |
| 84 | if(biasEnabled) |
| 85 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 86 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 87 | boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(qScale, 0.0f, Bias2)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 88 | return bias; |
| 89 | } |
| 90 | else |
| 91 | { |
| 92 | return boost::multi_array<T, 1>(); |
| 93 | } |
| 94 | } |
| 95 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 96 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 97 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 98 | armnn::IWorkloadFactory& workloadFactory, |
| 99 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 100 | float qScale, |
| 101 | int32_t qOffset, |
| 102 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 103 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 104 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 105 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 106 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 107 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 108 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 109 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 110 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 111 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 112 | QuantizedVector<T>(qScale, qOffset, { |
| 113 | 1, 1, 1, |
| 114 | 1, -1, 1, |
| 115 | 1, 1, 1, |
| 116 | 1, 1, 1, |
| 117 | 1, 1, 1, |
| 118 | |
| 119 | 0, 0, 0, |
| 120 | 0, 0, 0, |
| 121 | 0, 0, 0, |
| 122 | 0, 0, 0, |
| 123 | 0, 0, 0, |
| 124 | |
| 125 | 2, 2, 2, |
| 126 | 2, 2, 2, |
| 127 | 2, 2, 2, |
| 128 | 2, 2, 2, |
| 129 | 2, 2, 2, |
| 130 | |
| 131 | |
| 132 | 0, 0, 0, |
| 133 | 0, 0, 0, |
| 134 | 0, 0, 0, |
| 135 | 0, 0, 0, |
| 136 | 0, 0, 0, |
| 137 | |
| 138 | 1, 1, 1, |
| 139 | 1, 1, 1, |
| 140 | 1, 1, 1, |
| 141 | 1, 1, 1, |
| 142 | 1, 1, 1, |
| 143 | |
| 144 | 0, 0, 0, |
| 145 | 0, 0, 0, |
| 146 | 0, 0, 0, |
| 147 | 0, 0, 0, |
| 148 | 0, 0, 0 |
| 149 | }))); |
| 150 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 152 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 154 | QuantizedVector<T>(qScale, qOffset, { |
| 155 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 156 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 157 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 158 | -23.5f, -23.5f, -23.5f, |
| 159 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 160 | -23.5f, -23.5f, -23.5f, |
| 161 | |
| 162 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 163 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 164 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 165 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 166 | }))); |
| 167 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 168 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 169 | workloadFactory, |
| 170 | memoryManager, |
| 171 | input, |
| 172 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 173 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 174 | expectedOutput, |
| 175 | qScale, |
| 176 | qOffset, |
| 177 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 178 | } |
| 179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 180 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 181 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 182 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 183 | armnn::IWorkloadFactory& workloadFactory, |
| 184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 185 | float qScale, |
| 186 | int32_t qOffset, |
| 187 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 188 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 189 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 190 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 193 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 194 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 195 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 196 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 197 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 198 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 199 | QuantizedVector<T>(qScale, qOffset, { |
| 200 | 1, 1, 1, |
| 201 | 1, -1, 1, |
| 202 | 1, 1, 1, |
| 203 | |
| 204 | 0, 0, 0, |
| 205 | 0, 0, 0, |
| 206 | 0, 0, 0, |
| 207 | |
| 208 | 2, 2, 2, |
| 209 | 2, 2, 2, |
| 210 | 2, 2, 2, |
| 211 | |
| 212 | |
| 213 | 0, 0, 0, |
| 214 | 0, 0, 0, |
| 215 | 0, 0, 0, |
| 216 | |
| 217 | 1, 1, 1, |
| 218 | 1, 1, 1, |
| 219 | 1, 1, 1, |
| 220 | |
| 221 | 0, 0, 0, |
| 222 | 0, 0, 0, |
| 223 | 0, 0, 0 |
| 224 | }))); |
| 225 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 226 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 227 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 229 | QuantizedVector<T>(qScale, qOffset, { |
| 230 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 231 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 232 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 233 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 234 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 235 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 236 | |
| 237 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 238 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 239 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 240 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 241 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 242 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 243 | }))); |
| 244 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 245 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 246 | workloadFactory, |
| 247 | memoryManager, |
| 248 | input, |
| 249 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 250 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 251 | expectedOutput, |
| 252 | qScale, |
| 253 | qOffset, |
| 254 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 255 | } |
| 256 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 257 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 258 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 259 | armnn::IWorkloadFactory& workloadFactory, |
| 260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 261 | float qScale, |
| 262 | int32_t qOffset, |
| 263 | bool biasEnabled, |
| 264 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 265 | { |
| 266 | // Use common single-batch 5x5 image. |
| 267 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 268 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 269 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 270 | { |
| 271 | 1, 5, 2, 3, |
| 272 | 8, 7, 3, 6, |
| 273 | 3, 3, 9, 1 |
| 274 | }); |
| 275 | |
| 276 | |
| 277 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 278 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 279 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 280 | 4, 5, 6, |
| 281 | 0, 0, 0, |
| 282 | 3, 2, 1 |
| 283 | }); |
| 284 | |
| 285 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 286 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 287 | |
| 288 | const std::vector<float> outputData = |
| 289 | { |
| 290 | 23, 41, 33, 21, |
| 291 | 44, 65, 76, 52, |
| 292 | 82, 85, 79, 42 |
| 293 | }; |
| 294 | |
| 295 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 296 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 297 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 298 | workloadFactory, |
| 299 | memoryManager, |
| 300 | input, |
| 301 | kernel, |
| 302 | boost::multi_array<T, 1>(), |
| 303 | expectedOutput, |
| 304 | dataLayout, |
| 305 | qScale, |
| 306 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 307 | } |
| 308 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 309 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 310 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 311 | armnn::IWorkloadFactory& workloadFactory, |
| 312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 313 | float qScale, |
| 314 | int32_t qOffset, |
| 315 | bool biasEnabled, |
| 316 | const armnn::DataLayout& dataLayout) |
| 317 | { |
| 318 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 319 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 320 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 321 | { |
| 322 | 1, 5, 2, 3, 5, |
| 323 | 8, 7, 3, 6, 3, |
| 324 | 3, 3, 9, 1, 9, |
| 325 | 4, 1, 8, 1, 3, |
| 326 | 6, 8, 1, 9, 2 |
| 327 | }); |
| 328 | |
| 329 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 330 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 331 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 332 | { |
| 333 | 4, 5, 6, |
| 334 | 0, 0, 0, |
| 335 | 3, 2, 1 |
| 336 | }); |
| 337 | |
| 338 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 339 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 340 | |
| 341 | const std::vector<T> outputData = |
| 342 | { |
| 343 | 23, 33, 24, |
| 344 | 91, 99, 48, |
| 345 | 26, 50, 19 |
| 346 | }; |
| 347 | |
| 348 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 349 | |
| 350 | uint32_t padLeft = 1; |
| 351 | uint32_t padTop = 1; |
| 352 | uint32_t padRight = 1; |
| 353 | uint32_t padBottom = 1; |
| 354 | uint32_t strideX = 2; |
| 355 | uint32_t strideY = 2; |
| 356 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 357 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 358 | workloadFactory, |
| 359 | memoryManager, |
| 360 | input, |
| 361 | kernel, |
| 362 | boost::multi_array<T, 1>(), |
| 363 | expectedOutput, |
| 364 | dataLayout, |
| 365 | qScale, |
| 366 | qOffset, |
| 367 | padLeft, |
| 368 | padTop, |
| 369 | padRight, |
| 370 | padBottom, |
| 371 | strideX, |
| 372 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 373 | } |
| 374 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 375 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 376 | armnn::IWorkloadFactory& workloadFactory, |
| 377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 378 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 379 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 381 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 382 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 383 | } |
| 384 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 385 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 386 | armnn::IWorkloadFactory& workloadFactory, |
| 387 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 388 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 389 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 390 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 391 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 392 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | } |
| 394 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 395 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 396 | armnn::IWorkloadFactory& workloadFactory, |
| 397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 398 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 399 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 401 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 402 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 403 | } |
| 404 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 406 | armnn::IWorkloadFactory& workloadFactory, |
| 407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 408 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 410 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 411 | workloadFactory, |
| 412 | memoryManager, |
| 413 | 0.f, |
| 414 | 0, |
| 415 | biasEnabled, |
| 416 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 417 | } |
| 418 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 419 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 420 | armnn::IWorkloadFactory& workloadFactory, |
| 421 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 422 | bool biasEnabled, |
| 423 | const armnn::DataLayout layout) |
| 424 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 425 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 426 | workloadFactory, |
| 427 | memoryManager, |
| 428 | 0.f, |
| 429 | 0, |
| 430 | biasEnabled, |
| 431 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 432 | } |
| 433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 434 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 435 | armnn::IWorkloadFactory& workloadFactory, |
| 436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 437 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 438 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 440 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 441 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 442 | } |
| 443 | |
Mike Kelly | 2f80f6e | 2019-05-16 12:41:34 +0100 | [diff] [blame] | 444 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test( |
| 445 | armnn::IWorkloadFactory& workloadFactory, |
| 446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 447 | bool biasEnabled, |
| 448 | const armnn::DataLayout layout) |
| 449 | { |
| 450 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 451 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 452 | } |
| 453 | |
| 454 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test( |
| 455 | armnn::IWorkloadFactory& workloadFactory, |
| 456 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 457 | bool biasEnabled, |
| 458 | const armnn::DataLayout layout) |
| 459 | { |
| 460 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 461 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 462 | } |
| 463 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 464 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 465 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 466 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 467 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 469 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 470 | float qScale, |
| 471 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 472 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 473 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 474 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 475 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 476 | QuantizedVector<T>(qScale, qOffset, { |
| 477 | 11,21,31, |
| 478 | 12,22,32, |
| 479 | 13,23,33 |
| 480 | }))); |
| 481 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 482 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 483 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 484 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 485 | QuantizedVector<T>(qScale, qOffset, { |
| 486 | -11,-21, |
| 487 | -12,-22, |
| 488 | }))); |
| 489 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 490 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 491 | // Manually calculated like this: |
| 492 | //[-11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ..] |
| 493 | //[-11*0 -21*0 -12*0 -22*11 ; -11*0 -21*0 -12*11 -22*21 ; -11*0 -21*0 -12*21 -22*31 ; -11*0 -21*0 -12*31 -22*0 ..] |
| 494 | //[-11*0 -21*11 -12*0 -22*12 ; -11*11 -21*21 -12*12 -22*22 ; -11*21 -21*31 -12*22 -22*32 ; -11*31 -21*0 -12*32 -22*0 ..] |
| 495 | //[-11*0 -21*12 -12*0 -22*13 ; -11*12 -21*22 -12*13 -22*23 ; -11*22 -21*32 -12*23 -22*33 ; -11*32 -21*0 -12*33 -22*0 ..] |
| 496 | //[-11*0 -21*13 -12*0 -22*0 ; -11*13 -21*23 -12*0 -22*0 ; -11*23 -21*33 -12*0 -22*0 ; -11*33 -21*0 -12*0 -22*0 ..] |
| 497 | //[-11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ..] |
| 498 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 499 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 501 | QuantizedVector<T>(qScale, qOffset, { |
| 502 | 0, 0, 0, 0, 0, 0, |
| 503 | -242, -594, -934, -372, 0, 0, |
| 504 | -495, -1190, -1850, -725, 0, 0, |
| 505 | -538, -1256, -1916, -748, 0, 0, |
| 506 | -273, -626, -946, -363, 0, 0, |
| 507 | 0, 0, 0, 0, 0, 0, |
| 508 | 0, 0, 0, 0, 0, 0, |
| 509 | 0, 0, 0, 0, 0, 0 |
| 510 | }))); |
| 511 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 512 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 513 | workloadFactory, |
| 514 | memoryManager, |
| 515 | input, |
| 516 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 517 | GetBias2<ArmnnBType>(false, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 518 | expectedOutput, |
| 519 | qScale, |
| 520 | qOffset, |
| 521 | layout, |
| 522 | 1, // Padding left. |
| 523 | 2, // Padding top. |
| 524 | 3, // Padding right. |
| 525 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 526 | } |
| 527 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 528 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 529 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 530 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 531 | armnn::IWorkloadFactory& workloadFactory, |
| 532 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 533 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 534 | float qScale, |
| 535 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 536 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 537 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 538 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 539 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 540 | QuantizedVector<T>(qScale, qOffset, { |
| 541 | 11,21,31,41,51, |
| 542 | 12,22,32,42,52, |
| 543 | 13,23,33,43,53, |
| 544 | 14,24,34,44,54, |
| 545 | 15,25,35,45,55, |
| 546 | }))); |
| 547 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 548 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 549 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 550 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 551 | QuantizedVector<T>(qScale, qOffset, { |
| 552 | -11,-21,-31,-41, |
| 553 | -12,-22,-32,-42, |
| 554 | -13,-23,-33,-43, |
| 555 | -14,-24,-34,-44, |
| 556 | }))); |
| 557 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 558 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 559 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 560 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 561 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 562 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | -7140, -10580, -13940, -9300, -5230, |
| 564 | -9590, -14120, -18520, -12290, -6860, |
| 565 | -9980, -14560, -18960, -12560, -7000, |
| 566 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 567 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 568 | }))); |
| 569 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 570 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 571 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 572 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 573 | input, |
| 574 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 575 | GetBias2<ArmnnBType>(false, qScale * qScale), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 576 | expectedOutput, |
| 577 | qScale, |
| 578 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 579 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 580 | 1, // Padding left. |
| 581 | 1, // Padding top. |
| 582 | 2, // Padding right. |
| 583 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 584 | } |
| 585 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 586 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 587 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 588 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 589 | armnn::IWorkloadFactory& workloadFactory, |
| 590 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 591 | float qScale, |
| 592 | int32_t qOffset, |
| 593 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 594 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 595 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 596 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 597 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 598 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 599 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 600 | 0, 1, 2, 3, 4, |
| 601 | 5, 6, 7, 8, 9, |
| 602 | 10, 11, 12, 13, 14, |
| 603 | 15, 16, 17, 18, 19, |
| 604 | 20, 21, 22, 23, 24, |
| 605 | |
| 606 | 25, 26, 27, 28, 29, |
| 607 | 30, 31, 32, 33, 34, |
| 608 | 35, 36, 37, 38, 39, |
| 609 | 40, 41, 42, 43, 44, |
| 610 | 45, 46, 47, 48, 49 |
| 611 | }))); |
| 612 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 613 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 614 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 615 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 616 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 617 | 32, 31, 30, 29, |
| 618 | 28, 27, 26, 25, |
| 619 | 24, 23, 22, 21, |
| 620 | 20, 19, 18, 17, |
| 621 | |
| 622 | 16, 15, 14, 13, |
| 623 | 12, 11, 10, 9, |
| 624 | 8, 7, 6, 5, |
| 625 | 4, 3, 2, 1 |
| 626 | }))); |
| 627 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 628 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 629 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 630 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 631 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 632 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 633 | 1062, 1580, 1850, 1530, 1117, |
| 634 | 2140, 3108, 3500, 2842, 2042, |
| 635 | 3580, 5068, 5460, 4342, 3062, |
| 636 | 3618, 5072, 5390, 4248, 2971, |
| 637 | 3074, 4282, 4510, 3533, 2457, |
| 638 | 1550, 2284, 2362, 1955, 1428, |
| 639 | 2910, 4206, 4342, 3528, 2536, |
| 640 | 3390, 4886, 5022, 4068, 2916, |
| 641 | 3566, 5056, 5182, 4133, 2922, |
| 642 | 3100, 4352, 4452, 3517, 2465 |
| 643 | }))); |
| 644 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 645 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 646 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 647 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 648 | input, |
| 649 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 650 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 651 | expectedOutput, |
| 652 | qScale, |
| 653 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 654 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 655 | 1, // Padding left. |
| 656 | 1, // Padding top. |
| 657 | 2, // Padding right. |
| 658 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 659 | 1, // strideX |
| 660 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 661 | } |
| 662 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 663 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 664 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 665 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 666 | armnn::IWorkloadFactory& workloadFactory, |
| 667 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 668 | float qScale, |
| 669 | int32_t qOffset, |
| 670 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 671 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 672 | armnn::TensorInfo inputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 673 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 674 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 675 | 0, 25, |
| 676 | 1, 26, |
| 677 | 2, 27, |
| 678 | 3, 28, |
| 679 | 4, 29, |
| 680 | |
| 681 | 5, 30, |
| 682 | 6, 31, |
| 683 | 7, 32, |
| 684 | 8, 33, |
| 685 | 9, 34, |
| 686 | |
| 687 | 10, 35, |
| 688 | 11, 36, |
| 689 | 12, 37, |
| 690 | 13, 38, |
| 691 | 14, 39, |
| 692 | |
| 693 | 15, 40, |
| 694 | 16, 41, |
| 695 | 17, 42, |
| 696 | 18, 43, |
| 697 | 19, 44, |
| 698 | |
| 699 | 20, 45, |
| 700 | 21, 46, |
| 701 | 22, 47, |
| 702 | 23, 48, |
| 703 | 24, 49 |
| 704 | }))); |
| 705 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 706 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 707 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 708 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 709 | 32, 31, 30, 29, |
| 710 | 28, 27, 26, 25, |
| 711 | 24, 23, 22, 21, |
| 712 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 713 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 714 | 16, 15, 14, 13, |
| 715 | 12, 11, 10, 9, |
| 716 | 8, 7, 6, 5, |
| 717 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 718 | }))); |
| 719 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 720 | armnn::TensorInfo outputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 721 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 722 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 723 | 1062, 1550, |
| 724 | 1580, 2284, |
| 725 | 1850, 2362, |
| 726 | 1530, 1955, |
| 727 | 1117, 1428, |
| 728 | |
| 729 | 2140, 2910, |
| 730 | 3108, 4206, |
| 731 | 3500, 4342, |
| 732 | 2842, 3528, |
| 733 | 2042, 2536, |
| 734 | |
| 735 | 3580, 3390, |
| 736 | 5068, 4886, |
| 737 | 5460, 5022, |
| 738 | 4342, 4068, |
| 739 | 3062, 2916, |
| 740 | |
| 741 | 3618, 3566, |
| 742 | 5072, 5056, |
| 743 | 5390, 5182, |
| 744 | 4248, 4133, |
| 745 | 2971, 2922, |
| 746 | |
| 747 | 3074, 3100, |
| 748 | 4282, 4352, |
| 749 | 4510, 4452, |
| 750 | 3533, 3517, |
| 751 | 2457, 2465 |
| 752 | }))); |
| 753 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 754 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 755 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 756 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 757 | input, |
| 758 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 759 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 760 | expectedOutput, |
| 761 | qScale, |
| 762 | qOffset, |
| 763 | 1, // Padding left. |
| 764 | 1, // Padding top. |
| 765 | 2, // Padding right. |
| 766 | 2, // Padding bottom. |
| 767 | 1, // strideX |
| 768 | 1); // strideY |
| 769 | } |
| 770 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 771 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 772 | typename T = armnn::ResolveType<ArmnnType>> |
| 773 | LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon( |
| 774 | armnn::IWorkloadFactory& workloadFactory, |
| 775 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 776 | float qScale, |
| 777 | int32_t qOffset, |
| 778 | bool biasEnabled) |
| 779 | { |
| 780 | armnn::TensorInfo inputTensorInfo({ 1, 9, 9, 1}, ArmnnType); |
| 781 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 782 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 783 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 784 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 785 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 786 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 787 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 788 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 789 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 790 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 791 | 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 792 | }))); |
| 793 | |
| 794 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 795 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 796 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 797 | 1, 2, 3, |
| 798 | 4, 5, 6, |
| 799 | 7, 8, 9 |
| 800 | }))); |
| 801 | |
| 802 | uint32_t padLeft = 0; |
| 803 | uint32_t padTop = 0; |
| 804 | uint32_t padRight = 0; |
| 805 | uint32_t padBottom = 0; |
| 806 | uint32_t strideX = 1; |
| 807 | uint32_t strideY = 1; |
| 808 | uint32_t dilationX = 3; |
| 809 | uint32_t dilationY = 3; |
| 810 | |
| 811 | // Since the dilation rate is 3 this will reduce the size of the output from 9x9 to 3x3 of all 5s. |
| 812 | armnn::TensorInfo outputTensorInfo({ 1, 3, 3, 1}, ArmnnType); |
| 813 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 814 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 815 | 5, 5, 5, |
| 816 | 5, 5, 5, |
| 817 | 5, 5, 5 |
| 818 | }))); |
| 819 | |
| 820 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 821 | workloadFactory, |
| 822 | memoryManager, |
| 823 | input, |
| 824 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 825 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 826 | expectedOutput, |
| 827 | qScale, |
| 828 | qOffset, |
| 829 | padLeft, |
| 830 | padTop, |
| 831 | padRight, |
| 832 | padBottom, |
| 833 | strideX, |
| 834 | strideY, |
| 835 | dilationX, |
| 836 | dilationY); |
| 837 | |
| 838 | } |
| 839 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 840 | LayerTestResult<float, 4> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 841 | Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 842 | armnn::IWorkloadFactory& workloadFactory, |
| 843 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 844 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 845 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 846 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 847 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 848 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 849 | } |
| 850 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 851 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 852 | armnn::IWorkloadFactory& workloadFactory, |
| 853 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 854 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 855 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 856 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 857 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 858 | } |
| 859 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 860 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 861 | armnn::IWorkloadFactory& workloadFactory, |
| 862 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 863 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 864 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 865 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 866 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 867 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 868 | } |
| 869 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 870 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 871 | armnn::IWorkloadFactory& workloadFactory, |
| 872 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 873 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 874 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 875 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 876 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 877 | } |
| 878 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 879 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 880 | armnn::IWorkloadFactory& workloadFactory, |
| 881 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 882 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 883 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 884 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 885 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 886 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 887 | } |
| 888 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 889 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 890 | armnn::IWorkloadFactory& workloadFactory, |
| 891 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 892 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 893 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 894 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 895 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 896 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 897 | } |
| 898 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 899 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 900 | armnn::IWorkloadFactory& workloadFactory, |
| 901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 902 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 903 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 904 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 905 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 906 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 907 | } |
| 908 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 909 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 910 | armnn::IWorkloadFactory& workloadFactory, |
| 911 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 912 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 913 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 914 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 915 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 916 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 917 | } |
| 918 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 919 | LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest( |
| 920 | armnn::IWorkloadFactory& workloadFactory, |
| 921 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 922 | { |
| 923 | return SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 924 | workloadFactory, |
| 925 | memoryManager, |
| 926 | 0.f, |
| 927 | 0, |
| 928 | false); |
| 929 | } |
| 930 | |
Ruomei Yan | 88d44b8 | 2019-05-23 14:29:06 +0100 | [diff] [blame] | 931 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dInt16Test( |
| 932 | armnn::IWorkloadFactory& workloadFactory, |
| 933 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 934 | bool biasEnabled, |
| 935 | const armnn::DataLayout layout) |
| 936 | { |
| 937 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 938 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 939 | } |
| 940 | |
| 941 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dDepthMul1Int16Test( |
| 942 | armnn::IWorkloadFactory& workloadFactory, |
| 943 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 944 | bool biasEnabled, |
| 945 | const armnn::DataLayout layout) |
| 946 | { |
| 947 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 948 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 949 | } |
| 950 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 951 | LayerTestResult<float, 4> Convolution1dTest( |
| 952 | armnn::IWorkloadFactory& workloadFactory, |
| 953 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 954 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 955 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 956 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 957 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 958 | } |
| 959 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 960 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 961 | armnn::IWorkloadFactory& workloadFactory, |
| 962 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 963 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 964 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 965 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 966 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 967 | } |
| 968 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 969 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 970 | armnn::IWorkloadFactory& workloadFactory, |
| 971 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 972 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 973 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 974 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 975 | workloadFactory, memoryManager, refWorkloadFactory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 976 | } |
| 977 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 978 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 979 | armnn::IWorkloadFactory& workloadFactory, |
| 980 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 981 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 982 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 983 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 984 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 985 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 986 | } |
| 987 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 988 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 989 | armnn::IWorkloadFactory& workloadFactory, |
| 990 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 991 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 992 | const armnn::DataLayout layout) |
| 993 | { |
| 994 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 995 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 996 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 997 | |
| 998 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 999 | armnn::IWorkloadFactory& workloadFactory, |
| 1000 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1001 | { |
| 1002 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1003 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1004 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1005 | } |
| 1006 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1007 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 1008 | armnn::IWorkloadFactory& workloadFactory, |
| 1009 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1010 | { |
| 1011 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1012 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1013 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1014 | } |
| 1015 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1016 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 1017 | armnn::IWorkloadFactory& workloadFactory, |
| 1018 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1019 | { |
| 1020 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1021 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1022 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1023 | } |
| 1024 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1025 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 1026 | armnn::IWorkloadFactory& workloadFactory, |
| 1027 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1028 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1029 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1030 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1031 | } |
| 1032 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1033 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 1034 | armnn::IWorkloadFactory& workloadFactory, |
| 1035 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1036 | float beta) |
| 1037 | { |
| 1038 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1039 | } |
| 1040 | |
| 1041 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 1042 | armnn::IWorkloadFactory& workloadFactory, |
| 1043 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1044 | float beta) |
| 1045 | { |
| 1046 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1047 | } |
| 1048 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1049 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 1050 | armnn::IWorkloadFactory& workloadFactory, |
| 1051 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1052 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1053 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1054 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1055 | } |
| 1056 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1057 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 1058 | armnn::IWorkloadFactory& workloadFactory, |
| 1059 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1060 | float beta) |
| 1061 | { |
| 1062 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1063 | } |
| 1064 | |
| 1065 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 1066 | armnn::IWorkloadFactory& workloadFactory, |
| 1067 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1068 | float beta) |
| 1069 | { |
| 1070 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1071 | } |
| 1072 | |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame^] | 1073 | LayerTestResult<int16_t,2> SimpleSoftmaxUint16Test( |
| 1074 | armnn::IWorkloadFactory& workloadFactory, |
| 1075 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1076 | float beta) |
| 1077 | { |
| 1078 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1079 | } |
| 1080 | |
| 1081 | LayerTestResult<int16_t,3> Simple3dSoftmaxUint16Test( |
| 1082 | armnn::IWorkloadFactory& workloadFactory, |
| 1083 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1084 | float beta) |
| 1085 | { |
| 1086 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1087 | } |
| 1088 | |
| 1089 | LayerTestResult<int16_t,4> Simple4dSoftmaxUint16Test( |
| 1090 | armnn::IWorkloadFactory& workloadFactory, |
| 1091 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1092 | float beta) |
| 1093 | { |
| 1094 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1095 | } |
| 1096 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1097 | LayerTestResult<float,4> CompareNormalizationTest( |
| 1098 | armnn::IWorkloadFactory& workloadFactory, |
| 1099 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1100 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1101 | armnn::NormalizationAlgorithmChannel normChannel, |
| 1102 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1103 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1104 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1105 | } |
| 1106 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1107 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 1108 | armnn::IWorkloadFactory& workloadFactory, |
| 1109 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1110 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1111 | float beta) |
| 1112 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1113 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 1114 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1115 | } |
| 1116 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1117 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 1118 | armnn::IWorkloadFactory& workloadFactory, |
| 1119 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1120 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1121 | float beta) |
| 1122 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1123 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1124 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1125 | } |
| 1126 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1127 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 1128 | armnn::IWorkloadFactory& workloadFactory, |
| 1129 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1130 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1131 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1132 | } |
| 1133 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1134 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 1135 | armnn::IWorkloadFactory& workloadFactory, |
| 1136 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1137 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1138 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1139 | } |
| 1140 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1141 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 1142 | armnn::IWorkloadFactory& workloadFactory, |
| 1143 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1144 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1145 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1146 | } |
| 1147 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1148 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 1149 | armnn::IWorkloadFactory& workloadFactory, |
| 1150 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1151 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1152 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1153 | } |
| 1154 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1155 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1156 | armnn::IWorkloadFactory& workloadFactory, |
| 1157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1158 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1159 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1160 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1161 | { 2., 3., 3., 4. })); |
| 1162 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1163 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1164 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1165 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1166 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1167 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1168 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1169 | } |
| 1170 | |
| 1171 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1172 | armnn::IWorkloadFactory& workloadFactory, |
| 1173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1174 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1175 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1176 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1177 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1178 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 1179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1180 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1181 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1182 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1183 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1184 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1185 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1186 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1187 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 1188 | 0.02168f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1189 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>( |
| 1190 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1191 | } |
| 1192 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1193 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 1194 | armnn::IWorkloadFactory& workloadFactory, |
| 1195 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1196 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1197 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1198 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1199 | {2., 3., 3., 4.})); |
| 1200 | |
| 1201 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1202 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1203 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1204 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1205 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 1206 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1207 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1208 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1209 | } |
| 1210 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1211 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionTest( |
| 1212 | armnn::IWorkloadFactory& workloadFactory, |
| 1213 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1214 | { |
| 1215 | const float qScale = 1.0f; |
| 1216 | const int32_t qOffset = 0; |
| 1217 | |
| 1218 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1219 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1220 | |
| 1221 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1222 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1223 | std::vector<float>{2., 3., 3., 4.})); |
| 1224 | |
| 1225 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1226 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1227 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1228 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1229 | |
| 1230 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1231 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1232 | |
| 1233 | } |
| 1234 | |
| 1235 | LayerTestResult<int16_t, 2> LstmLayerInt16WithCifgWithPeepholeNoProjectionTest( |
| 1236 | armnn::IWorkloadFactory& workloadFactory, |
| 1237 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1238 | { |
| 1239 | const float qScale = 1.0f; |
| 1240 | const int32_t qOffset = 0; |
| 1241 | |
| 1242 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1243 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1244 | |
| 1245 | armnn::TensorInfo inputDesc({ 2, 2 }, datatype); |
| 1246 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1247 | std::vector<float>({ 2., 3., 3., 4. }))); |
| 1248 | |
| 1249 | armnn::TensorInfo outputDesc({ 2, 4 }, datatype); |
| 1250 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1251 | qOffset, std::vector<float>( |
| 1252 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1253 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}))); |
| 1254 | |
| 1255 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>( |
| 1256 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1257 | } |
| 1258 | |
| 1259 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgWithPeepholeWithProjectionTest( |
| 1260 | armnn::IWorkloadFactory& workloadFactory, |
| 1261 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1262 | { |
| 1263 | const float qScale = 2.0f; |
| 1264 | const int32_t qOffset = 0; |
| 1265 | |
| 1266 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1267 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1268 | |
| 1269 | armnn::TensorInfo inputDesc({ 2, 5 }, datatype); |
| 1270 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1271 | qOffset, std::vector<float>( |
| 1272 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1273 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}))); |
| 1274 | |
| 1275 | armnn::TensorInfo outputDesc({ 2, 16 }, datatype); |
| 1276 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1277 | qOffset, std::vector<float>( |
| 1278 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1279 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1280 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1281 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1282 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1283 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, 0.02168f}))); |
| 1284 | |
| 1285 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>( |
| 1286 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1287 | } |
| 1288 | |
| 1289 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest( |
| 1290 | armnn::IWorkloadFactory& workloadFactory, |
| 1291 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1292 | { |
| 1293 | const float qScale = 1.0f; |
| 1294 | const int32_t qOffset = 0; |
| 1295 | |
| 1296 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; // datatype & constants set to QSymm16 |
| 1297 | |
| 1298 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1299 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1300 | qOffset, std::vector<float>{2., 3., 3., 4.})); |
| 1301 | |
| 1302 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1303 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1304 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1305 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1306 | |
| 1307 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1308 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype); |
| 1309 | } |
| 1310 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 1311 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1312 | armnn::IWorkloadFactory& workloadFactory, |
| 1313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1314 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1315 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1316 | unsigned int outputHeight = 6; |
| 1317 | unsigned int outputChannels = 3; |
| 1318 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1319 | unsigned int inputWidth1 = 3; |
| 1320 | unsigned int inputHeight1 = 6; |
| 1321 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1322 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1323 | unsigned int inputWidth2 = 3; |
| 1324 | unsigned int inputHeight2 = 6; |
| 1325 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1326 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1327 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1328 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 1329 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 1330 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1331 | |
| 1332 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 1333 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1334 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1335 | { |
| 1336 | 1.0f, 2.0f, 3.0f, |
| 1337 | 4.0f, 5.0f, 6.0f, |
| 1338 | 7.0f, 8.0f, 9.0f, |
| 1339 | 10.0f, 11.0f, 12.0f, |
| 1340 | 13.0f, 14.0f, 15.0f, |
| 1341 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1342 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1343 | 19.0f, 20.0f, 21.0f, |
| 1344 | 22.0f, 23.0f, 24.0f, |
| 1345 | 25.0f, 26.0f, 27.0f, |
| 1346 | 28.0f, 29.0f, 30.0f, |
| 1347 | 31.0f, 32.0f, 33.0f, |
| 1348 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1349 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1350 | 37.0f, 38.0f, 39.0f, |
| 1351 | 40.0f, 41.0f, 42.0f, |
| 1352 | 43.0f, 44.0f, 45.0f, |
| 1353 | 46.0f, 47.0f, 48.0f, |
| 1354 | 49.0f, 50.0f, 51.0f, |
| 1355 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1356 | }) |
| 1357 | ); |
| 1358 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1359 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 1360 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1361 | 1.0f, 2.0f, 3.0f, |
| 1362 | 4.0f, 5.0f, 6.0f, |
| 1363 | 7.0f, 8.0f, 9.0f, |
| 1364 | 10.0f, 11.0f, 12.0f, |
| 1365 | 13.0f, 14.0f, 15.0f, |
| 1366 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1367 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1368 | 19.0f, 20.0f, 21.0f, |
| 1369 | 22.0f, 23.0f, 24.0f, |
| 1370 | 25.0f, 26.0f, 27.0f, |
| 1371 | 28.0f, 29.0f, 30.0f, |
| 1372 | 31.0f, 32.0f, 33.0f, |
| 1373 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1374 | }) |
| 1375 | ); |
| 1376 | |
| 1377 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 1378 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1379 | 37.0f, 38.0f, 39.0f, |
| 1380 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1381 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1382 | 46.0f, 47.0f, 48.0f, |
| 1383 | 49.0f, 50.0f, 51.0f, |
| 1384 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1385 | }) |
| 1386 | ); |
| 1387 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1388 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1389 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1390 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1391 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1392 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1393 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1394 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1395 | |
| 1396 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 1397 | |
| 1398 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 1399 | subTensorsSupported ? |
| 1400 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 1401 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1402 | |
| 1403 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 1404 | subTensorsSupported ? |
| 1405 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 1406 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1407 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1408 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1409 | armnn::WorkloadInfo info; |
| 1410 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1411 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1412 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1413 | |
| 1414 | data.m_ViewOrigins.push_back(window1); |
| 1415 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1416 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 1417 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1418 | |
| 1419 | inputHandle1->Allocate(); |
| 1420 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1421 | outputHandle->Allocate(); |
| 1422 | |
| 1423 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 1424 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1425 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1426 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1427 | workload->Execute(); |
| 1428 | |
| 1429 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 1430 | |
| 1431 | return ret; |
| 1432 | } |
| 1433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1434 | LayerTestResult<float,4> AdditionTest( |
| 1435 | armnn::IWorkloadFactory& workloadFactory, |
| 1436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1437 | { |
| 1438 | unsigned int batchSize = 2; |
| 1439 | unsigned int channels = 2; |
| 1440 | unsigned int height = 2; |
| 1441 | unsigned int width = 3; |
| 1442 | |
| 1443 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1444 | armnn::TensorInfo outputTensorInfo; |
| 1445 | |
| 1446 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1447 | |
| 1448 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1449 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1450 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1451 | |
| 1452 | |
| 1453 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 1454 | { |
| 1455 | 0.0f, 2.0f, 1.0f, |
| 1456 | 0.2f, 1.0f, 2.0f, |
| 1457 | |
| 1458 | 1.0f, 2.0f, 1.0f, |
| 1459 | 0.2f, 1.0f, 2.0f, |
| 1460 | |
| 1461 | 0.0f, 2.0f, 1.0f, |
| 1462 | 4.2f, 1.0f, 2.0f, |
| 1463 | |
| 1464 | 0.0f, 0.0f, 1.0f, |
| 1465 | 0.2f, 1.0f, 2.0f, |
| 1466 | })); |
| 1467 | |
| 1468 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 1469 | { |
| 1470 | 1.0f, 2.0f, 1.0f, |
| 1471 | 0.0f, 1.0f, 2.0f, |
| 1472 | |
| 1473 | 1.0f, 2.0f, -2.0f, |
| 1474 | 0.2f, 1.0f, 2.0f, |
| 1475 | |
| 1476 | 0.0f, 2.0f, 1.0f, |
| 1477 | 4.2f, 0.0f, -3.0f, |
| 1478 | |
| 1479 | 0.0f, 0.0f, 1.0f, |
| 1480 | 0.7f, 1.0f, 5.0f, |
| 1481 | })); |
| 1482 | |
| 1483 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1484 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 1485 | { |
| 1486 | 1.0f, 4.0f, 2.0f, |
| 1487 | 0.2f, 2.0f, 4.0f, |
| 1488 | |
| 1489 | 2.0f, 4.0f, -1.0f, |
| 1490 | 0.4f, 2.0f, 4.0f, |
| 1491 | |
| 1492 | 0.0f, 4.0f, 2.0f, |
| 1493 | 8.4f, 1.0f, -1.0f, |
| 1494 | |
| 1495 | 0.0f, 0.0f, 2.0f, |
| 1496 | 0.9f, 2.0f, 7.0f, |
| 1497 | })); |
| 1498 | |
| 1499 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1500 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1501 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1502 | |
| 1503 | armnn::AdditionQueueDescriptor data; |
| 1504 | armnn::WorkloadInfo info; |
| 1505 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1506 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1507 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1508 | |
| 1509 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1510 | |
| 1511 | inputHandle1->Allocate(); |
| 1512 | inputHandle2->Allocate(); |
| 1513 | outputHandle->Allocate(); |
| 1514 | |
| 1515 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1516 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1517 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1518 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1519 | workload->Execute(); |
| 1520 | |
| 1521 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1522 | |
| 1523 | return ret; |
| 1524 | } |
| 1525 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1526 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1527 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 1528 | armnn::IWorkloadFactory& workloadFactory, |
| 1529 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1530 | float qScale, |
| 1531 | int32_t qOffset) |
| 1532 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1533 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 1534 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 1535 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1536 | |
| 1537 | if (armnn::IsQuantizedType<T>()) |
| 1538 | { |
| 1539 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1540 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1541 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1542 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1543 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1544 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1545 | } |
| 1546 | |
| 1547 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1548 | { |
| 1549 | 0.0f, |
| 1550 | 1.0f, |
| 1551 | |
| 1552 | 2.0f, |
| 1553 | 3.0f, |
| 1554 | |
| 1555 | 4.0f, |
| 1556 | 5.0f, |
| 1557 | })); |
| 1558 | |
| 1559 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1560 | { |
| 1561 | 0.5f, 1.5f, 2.5f, |
| 1562 | 3.5f, 4.5f, 5.5f, |
| 1563 | })); |
| 1564 | |
| 1565 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1566 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1567 | { |
| 1568 | 0.5f, 1.5f, 2.5f, |
| 1569 | 4.5f, 5.5f, 6.5f, |
| 1570 | |
| 1571 | 2.5f, 3.5f, 4.5f, |
| 1572 | 6.5f, 7.5f, 8.5f, |
| 1573 | |
| 1574 | 4.5f, 5.5f, 6.5f, |
| 1575 | 8.5f, 9.5f, 10.5f, |
| 1576 | })); |
| 1577 | |
| 1578 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1579 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1580 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1581 | |
| 1582 | armnn::AdditionQueueDescriptor data; |
| 1583 | armnn::WorkloadInfo info; |
| 1584 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1585 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1586 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1587 | |
| 1588 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1589 | |
| 1590 | inputHandle1->Allocate(); |
| 1591 | inputHandle2->Allocate(); |
| 1592 | outputHandle->Allocate(); |
| 1593 | |
| 1594 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1595 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1596 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1597 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1598 | workload->Execute(); |
| 1599 | |
| 1600 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1601 | |
| 1602 | return ret; |
| 1603 | } |
| 1604 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1605 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1606 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 1607 | armnn::IWorkloadFactory& workloadFactory, |
| 1608 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1609 | float qScale, |
| 1610 | int32_t qOffset) |
| 1611 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1612 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 1613 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 1614 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1615 | |
| 1616 | if (armnn::IsQuantizedType<T>()) |
| 1617 | { |
| 1618 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1619 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1620 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1621 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1622 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1623 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1624 | } |
| 1625 | |
| 1626 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1627 | { |
| 1628 | 0.0f, 1.0f, 2.0f, |
| 1629 | 3.0f, 4.0f, 5.0f, |
| 1630 | 6.0f, 7.0f, 8.0f, |
| 1631 | 9.0f, 10.0f, 11.0f, |
| 1632 | 12.0f, 13.0f, 14.0f, |
| 1633 | 15.0f, 16.0f, 17.0f, |
| 1634 | })); |
| 1635 | |
| 1636 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1637 | { |
| 1638 | 0.5f, |
| 1639 | })); |
| 1640 | |
| 1641 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1642 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1643 | { |
| 1644 | 0.5f, 1.5f, 2.5f, |
| 1645 | 3.5f, 4.5f, 5.5f, |
| 1646 | 6.5f, 7.5f, 8.5f, |
| 1647 | 9.5f, 10.5f, 11.5f, |
| 1648 | 12.5f, 13.5f, 14.5f, |
| 1649 | 15.5f, 16.5f, 17.5f, |
| 1650 | })); |
| 1651 | |
| 1652 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1653 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1654 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1655 | |
| 1656 | armnn::AdditionQueueDescriptor data; |
| 1657 | armnn::WorkloadInfo info; |
| 1658 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1659 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1660 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1661 | |
| 1662 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1663 | |
| 1664 | inputHandle1->Allocate(); |
| 1665 | inputHandle2->Allocate(); |
| 1666 | outputHandle->Allocate(); |
| 1667 | |
| 1668 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1669 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1670 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1671 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1672 | workload->Execute(); |
| 1673 | |
| 1674 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1675 | |
| 1676 | return ret; |
| 1677 | } |
| 1678 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1679 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 1680 | armnn::IWorkloadFactory& workloadFactory, |
| 1681 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1682 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1683 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 1684 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1685 | } |
| 1686 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1687 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 1688 | armnn::IWorkloadFactory& workloadFactory, |
| 1689 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1690 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1691 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1692 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1693 | } |
| 1694 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1695 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 1696 | armnn::IWorkloadFactory& workloadFactory, |
| 1697 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1698 | { |
| 1699 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1700 | workloadFactory, memoryManager, 2.f, 0); |
| 1701 | } |
| 1702 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1703 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 1704 | armnn::IWorkloadFactory& workloadFactory, |
| 1705 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1706 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1707 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 1708 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1709 | } |
| 1710 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1711 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 1712 | armnn::IWorkloadFactory& workloadFactory, |
| 1713 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1714 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1715 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1716 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1717 | } |
| 1718 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1719 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 1720 | armnn::IWorkloadFactory& workloadFactory, |
| 1721 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1722 | { |
| 1723 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1724 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 1725 | } |
| 1726 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1727 | LayerTestResult<float,4> CompareAdditionTest( |
| 1728 | armnn::IWorkloadFactory& workloadFactory, |
| 1729 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1730 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1731 | { |
| 1732 | unsigned int batchSize = 4; |
| 1733 | unsigned int channels = 1; |
| 1734 | unsigned int height = 2; |
| 1735 | unsigned int width = 3; |
| 1736 | |
| 1737 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1738 | armnn::TensorInfo outputTensorInfo; |
| 1739 | |
| 1740 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1741 | |
| 1742 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1743 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1744 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1745 | |
| 1746 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 1747 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 1748 | |
| 1749 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1750 | |
| 1751 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1752 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1753 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1754 | |
| 1755 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1756 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1757 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1758 | |
| 1759 | armnn::AdditionQueueDescriptor data; |
| 1760 | armnn::WorkloadInfo info; |
| 1761 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1762 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1763 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1764 | |
| 1765 | armnn::AdditionQueueDescriptor refData = data; |
| 1766 | armnn::WorkloadInfo refInfo = info; |
| 1767 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 1768 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 1769 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 1770 | |
| 1771 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1772 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 1773 | |
| 1774 | inputHandle1->Allocate(); |
| 1775 | inputHandle2->Allocate(); |
| 1776 | outputHandle->Allocate(); |
| 1777 | inputHandle1Ref->Allocate(); |
| 1778 | inputHandle2Ref->Allocate(); |
| 1779 | outputHandleRef->Allocate(); |
| 1780 | |
| 1781 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1782 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1783 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 1784 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 1785 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1786 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1787 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1788 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1789 | workloadRef->Execute(); |
| 1790 | |
| 1791 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1792 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 1793 | |
| 1794 | return ret; |
| 1795 | } |
| 1796 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1797 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1798 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1799 | LayerTestResult<T, 4> DivisionTestHelper( |
| 1800 | armnn::IWorkloadFactory& workloadFactory, |
| 1801 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1802 | const unsigned int shape0[4], |
| 1803 | const std::vector<T>& values0, |
| 1804 | float scale0, |
| 1805 | int32_t offset0, |
| 1806 | const unsigned int shape1[4], |
| 1807 | const std::vector<T> & values1, |
| 1808 | float scale1, |
| 1809 | int32_t offset1, |
| 1810 | const unsigned int outShape[4], |
| 1811 | const std::vector<T> & outValues, |
| 1812 | float outScale, |
| 1813 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1814 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1815 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 1816 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 1817 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1818 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1819 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 1820 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1821 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1822 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 1823 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1824 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1825 | outputTensorInfo.SetQuantizationScale(outScale); |
| 1826 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1827 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1828 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 1829 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1830 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1831 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1832 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1833 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1834 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 1835 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1836 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1837 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1838 | armnn::DivisionQueueDescriptor data; |
| 1839 | armnn::WorkloadInfo info; |
| 1840 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 1841 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1842 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1843 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1844 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1845 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1846 | inputHandle0->Allocate(); |
| 1847 | inputHandle1->Allocate(); |
| 1848 | outputHandle->Allocate(); |
| 1849 | |
| 1850 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 1851 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1852 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1853 | workload->PostAllocationConfigure(); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1854 | workload->Execute(); |
| 1855 | |
| 1856 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 1857 | |
| 1858 | return result; |
| 1859 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1860 | } // anonymous namespace |
| 1861 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1862 | LayerTestResult<float,4> DivisionByZeroTest( |
| 1863 | armnn::IWorkloadFactory& workloadFactory, |
| 1864 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1865 | { |
| 1866 | const unsigned int width = 2; |
| 1867 | const unsigned int height = 2; |
| 1868 | const unsigned int channelCount = 2; |
| 1869 | const unsigned int batchSize = 2; |
| 1870 | |
| 1871 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1872 | |
| 1873 | std::vector<float> input0({ |
| 1874 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 1875 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 1876 | |
| 1877 | std::vector<float> input1({ |
| 1878 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 1879 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 1880 | |
| 1881 | std::vector<float> output({ |
| 1882 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 1883 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 1884 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1885 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1886 | memoryManager, |
| 1887 | shape, input0, 1.0f, 0, |
| 1888 | shape, input1, 1.0f, 0, |
| 1889 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1890 | } |
| 1891 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1892 | LayerTestResult<float,4> DivisionTest( |
| 1893 | armnn::IWorkloadFactory& workloadFactory, |
| 1894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1895 | { |
| 1896 | const unsigned int width = 2; |
| 1897 | const unsigned int height = 2; |
| 1898 | const unsigned int channelCount = 2; |
| 1899 | const unsigned int batchSize = 2; |
| 1900 | |
| 1901 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1902 | |
| 1903 | std::vector<float> input0({ |
| 1904 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 1905 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1906 | |
| 1907 | std::vector<float> input1({ |
| 1908 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 1909 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1910 | |
| 1911 | std::vector<float> output({ |
| 1912 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 1913 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 1914 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1915 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1916 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1917 | memoryManager, |
| 1918 | shape, input0, 1.0f, 0, |
| 1919 | shape, input1, 1.0f, 0, |
| 1920 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1921 | } |
| 1922 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1923 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 1924 | armnn::IWorkloadFactory& workloadFactory, |
| 1925 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1926 | { |
| 1927 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1928 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1929 | |
| 1930 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1931 | std::vector<float> input1({ 2 }); |
| 1932 | |
| 1933 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1934 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1935 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1936 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1937 | memoryManager, |
| 1938 | shape0, input0, 1.0f, 0, |
| 1939 | shape1, input1, 1.0f, 0, |
| 1940 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1941 | } |
| 1942 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1943 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 1944 | armnn::IWorkloadFactory& workloadFactory, |
| 1945 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1946 | { |
| 1947 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1948 | std::vector<float> input0({ |
| 1949 | 1, 4, 3, 8, 5, 12, |
| 1950 | 7, 16, 9, 20, 11, 24, |
| 1951 | 13, 28, 15, 32, 17, 36}); |
| 1952 | |
| 1953 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1954 | std::vector<float> input1({ 1, 2 }); |
| 1955 | |
| 1956 | std::vector<float> output({ |
| 1957 | 1, 2, 3, 4, 5, 6, |
| 1958 | 7, 8, 9, 10, 11, 12, |
| 1959 | 13, 14, 15, 16, 17, 18}); |
| 1960 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1961 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1962 | memoryManager, |
| 1963 | shape0, input0, 1.0f, 0, |
| 1964 | shape1, input1, 1.0f, 0, |
| 1965 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1966 | } |
| 1967 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1968 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 1969 | armnn::IWorkloadFactory& workloadFactory, |
| 1970 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1971 | { |
| 1972 | const unsigned int width = 2; |
| 1973 | const unsigned int height = 2; |
| 1974 | const unsigned int channelCount = 2; |
| 1975 | const unsigned int batchSize = 2; |
| 1976 | |
| 1977 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1978 | |
| 1979 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 1980 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1981 | |
| 1982 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 1983 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1984 | |
| 1985 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 1986 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 1987 | |
| 1988 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1989 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1990 | memoryManager, |
| 1991 | shape, input0, 1.0f, 0, |
| 1992 | shape, input1, 1.0f, 0, |
| 1993 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1994 | } |
| 1995 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1996 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 1997 | armnn::IWorkloadFactory& workloadFactory, |
| 1998 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1999 | { |
| 2000 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2001 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2002 | |
| 2003 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2004 | std::vector<uint8_t> input1({ 2 }); |
| 2005 | |
| 2006 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2007 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2008 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2009 | memoryManager, |
| 2010 | shape0, input0, 1.0f, 0, |
| 2011 | shape1, input1, 1.0f, 0, |
| 2012 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2013 | } |
| 2014 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2015 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 2016 | armnn::IWorkloadFactory& workloadFactory, |
| 2017 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2018 | { |
| 2019 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2020 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 2021 | 7, 16, 9, 20, 11, 24, |
| 2022 | 13, 28, 15, 32, 17, 36}); |
| 2023 | |
| 2024 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2025 | std::vector<uint8_t> input1({ 1, 2 }); |
| 2026 | |
| 2027 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 2028 | 7, 8, 9, 10, 11, 12, |
| 2029 | 13, 14, 15, 16, 17, 18}); |
| 2030 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2031 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2032 | memoryManager, |
| 2033 | shape0, input0, 1.0f, 0, |
| 2034 | shape1, input1, 1.0f, 0, |
| 2035 | shape0, output, 1.0f, 0); |
| 2036 | } |
| 2037 | |
| 2038 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 2039 | armnn::IWorkloadFactory& workloadFactory, |
| 2040 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2041 | { |
| 2042 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2043 | |
| 2044 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 2045 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2046 | |
| 2047 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 2048 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2049 | |
| 2050 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 2051 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 2052 | |
| 2053 | |
| 2054 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2055 | memoryManager, |
| 2056 | shape, input0, 1.0f, 0, |
| 2057 | shape, input1, 1.0f, 0, |
| 2058 | shape, output, 0.25f, 0); |
| 2059 | } |
| 2060 | |
| 2061 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 2062 | armnn::IWorkloadFactory& workloadFactory, |
| 2063 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2064 | { |
| 2065 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2066 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2067 | |
| 2068 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2069 | std::vector<int16_t> input1({ 2 }); |
| 2070 | |
| 2071 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2072 | |
| 2073 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2074 | memoryManager, |
| 2075 | shape0, input0, 1.0f, 0, |
| 2076 | shape1, input1, 1.0f, 0, |
| 2077 | shape0, output, 1.0f, 0); |
| 2078 | } |
| 2079 | |
| 2080 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 2081 | armnn::IWorkloadFactory& workloadFactory, |
| 2082 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2083 | { |
| 2084 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2085 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 2086 | 7, 16, 9, 20, 11, 24, |
| 2087 | 13, 28, 15, 32, 17, 36}); |
| 2088 | |
| 2089 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2090 | std::vector<int16_t> input1({ 1, 2 }); |
| 2091 | |
| 2092 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 2093 | 7, 8, 9, 10, 11, 12, |
| 2094 | 13, 14, 15, 16, 17, 18}); |
| 2095 | |
| 2096 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2097 | memoryManager, |
| 2098 | shape0, input0, 1.0f, 0, |
| 2099 | shape1, input1, 1.0f, 0, |
| 2100 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2101 | } |
| 2102 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2103 | template<typename DescriptorType> |
| 2104 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 2105 | const armnn::IWorkloadFactory& workloadFactory, |
| 2106 | const armnn::WorkloadInfo& info, |
| 2107 | const DescriptorType& descriptor) |
| 2108 | { |
| 2109 | return CreateWorkload(workloadFactory, info, descriptor); |
| 2110 | }; |
| 2111 | |
| 2112 | template<> |
| 2113 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 2114 | const armnn::IWorkloadFactory& workloadFactory, |
| 2115 | const armnn::WorkloadInfo& info, |
| 2116 | const armnn::MaximumQueueDescriptor& descriptor) |
| 2117 | { |
| 2118 | return workloadFactory.CreateMaximum(descriptor, info); |
| 2119 | } |
| 2120 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2121 | template<> |
| 2122 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 2123 | const armnn::IWorkloadFactory& workloadFactory, |
| 2124 | const armnn::WorkloadInfo& info, |
| 2125 | const armnn::MinimumQueueDescriptor& descriptor) |
| 2126 | { |
| 2127 | return workloadFactory.CreateMinimum(descriptor, info); |
| 2128 | } |
| 2129 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2130 | template<> |
| 2131 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 2132 | const armnn::IWorkloadFactory& workloadFactory, |
| 2133 | const armnn::WorkloadInfo& info, |
| 2134 | const armnn::EqualQueueDescriptor& descriptor) |
| 2135 | { |
| 2136 | return workloadFactory.CreateEqual(descriptor, info); |
| 2137 | } |
| 2138 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2139 | template<> |
| 2140 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 2141 | const armnn::IWorkloadFactory& workloadFactory, |
| 2142 | const armnn::WorkloadInfo& info, |
| 2143 | const armnn::GreaterQueueDescriptor& descriptor) |
| 2144 | { |
| 2145 | return workloadFactory.CreateGreater(descriptor, info); |
| 2146 | } |
| 2147 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2148 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2149 | |
| 2150 | template <typename Descriptor, |
| 2151 | armnn::DataType ArmnnTypeInput, |
| 2152 | armnn::DataType ArmnnTypeOutput, |
| 2153 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 2154 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 2155 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 2156 | armnn::IWorkloadFactory & workloadFactory, |
| 2157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2158 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 2159 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 2160 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 2161 | float qScale = 0.0f, int qOffset = 0) |
| 2162 | { |
| 2163 | const size_t dimensionCount = 4; |
| 2164 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 2165 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 2166 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 2167 | |
| 2168 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 2169 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 2170 | |
| 2171 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2172 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2173 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 2174 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2175 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2176 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2177 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2178 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2179 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2180 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2181 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2182 | |
| 2183 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 2184 | |
| 2185 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 2186 | { |
| 2187 | ret.compareBoolean = true; |
| 2188 | } |
| 2189 | |
| 2190 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2191 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2192 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2193 | |
| 2194 | Descriptor data; |
| 2195 | armnn::WorkloadInfo info; |
| 2196 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2197 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2198 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2199 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 2200 | |
| 2201 | inputHandle0->Allocate(); |
| 2202 | inputHandle1->Allocate(); |
| 2203 | outputHandle->Allocate(); |
| 2204 | |
| 2205 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2206 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2207 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2208 | workload->PostAllocationConfigure(); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2209 | ExecuteWorkload(*workload, memoryManager); |
| 2210 | |
| 2211 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2212 | |
| 2213 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 2214 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2215 | } |
| 2216 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2217 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 2218 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 2219 | armnn::IWorkloadFactory & workloadFactory, |
| 2220 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2221 | const unsigned int shape0[4], std::vector<T> values0, |
| 2222 | const unsigned int shape1[4], std::vector<T> values1, |
| 2223 | const unsigned int outShape[4], std::vector<T> outValues, |
| 2224 | float qScale = 0.0f, int qOffset = 0) |
| 2225 | { |
| 2226 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 2227 | (workloadFactory, |
| 2228 | memoryManager, |
| 2229 | shape0, |
| 2230 | values0, |
| 2231 | shape1, |
| 2232 | values1, |
| 2233 | outShape, |
| 2234 | outValues, |
| 2235 | qScale, |
| 2236 | qOffset); |
| 2237 | } |
| 2238 | } |
| 2239 | |
| 2240 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2241 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2242 | { |
| 2243 | const unsigned int width = 2; |
| 2244 | const unsigned int height = 2; |
| 2245 | const unsigned int channelCount = 2; |
| 2246 | const unsigned int batchSize = 2; |
| 2247 | |
| 2248 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2249 | |
| 2250 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2251 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2252 | |
| 2253 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2254 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2255 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2256 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 2257 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2258 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2259 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2260 | workloadFactory, |
| 2261 | memoryManager, |
| 2262 | shape, |
| 2263 | input0, |
| 2264 | shape, |
| 2265 | input1, |
| 2266 | shape, |
| 2267 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2268 | } |
| 2269 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2270 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2271 | armnn::IWorkloadFactory& workloadFactory, |
| 2272 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2273 | { |
| 2274 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2275 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2276 | |
| 2277 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2278 | std::vector<float> input1({ 1 }); |
| 2279 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2280 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2281 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2282 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2283 | workloadFactory, |
| 2284 | memoryManager, |
| 2285 | shape0, |
| 2286 | input0, |
| 2287 | shape1, |
| 2288 | input1, |
| 2289 | shape0, |
| 2290 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2291 | } |
| 2292 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2293 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2294 | armnn::IWorkloadFactory& workloadFactory, |
| 2295 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2296 | { |
| 2297 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2298 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2299 | |
| 2300 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2301 | 7, 8, 9, 10, 11, 12 }); |
| 2302 | |
| 2303 | std::vector<float> input1({ 1, 2, 3}); |
| 2304 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2305 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 2306 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2307 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2308 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2309 | workloadFactory, |
| 2310 | memoryManager, |
| 2311 | shape0, |
| 2312 | input0, |
| 2313 | shape1, |
| 2314 | input1, |
| 2315 | shape0, |
| 2316 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2317 | } |
| 2318 | |
| 2319 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 2320 | armnn::IWorkloadFactory& workloadFactory, |
| 2321 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2322 | { |
| 2323 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2324 | |
| 2325 | // See dequantized values to the right. |
| 2326 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2327 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2328 | |
| 2329 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2330 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2331 | |
| 2332 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2333 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2334 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2335 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2336 | armnn::DataType::QuantisedAsymm8, |
| 2337 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2338 | workloadFactory, |
| 2339 | memoryManager, |
| 2340 | shape, |
| 2341 | input0, |
| 2342 | shape, |
| 2343 | input1, |
| 2344 | shape, |
| 2345 | output, |
| 2346 | 1.0f, |
| 2347 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2348 | } |
| 2349 | |
| 2350 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 2351 | armnn::IWorkloadFactory& workloadFactory, |
| 2352 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2353 | { |
| 2354 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2355 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2356 | |
| 2357 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2358 | 7, 8, 9, 10, 11, 12 }); |
| 2359 | |
| 2360 | std::vector<uint8_t> input1({ 1 }); |
| 2361 | |
| 2362 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 2363 | 0, 0, 0, 0, 0, 0 }); |
| 2364 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2365 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2366 | armnn::DataType::QuantisedAsymm8, |
| 2367 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2368 | workloadFactory, |
| 2369 | memoryManager, |
| 2370 | shape0, |
| 2371 | input0, |
| 2372 | shape1, |
| 2373 | input1, |
| 2374 | shape0, |
| 2375 | output, |
| 2376 | 1.0f, |
| 2377 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2378 | } |
| 2379 | |
| 2380 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 2381 | armnn::IWorkloadFactory& workloadFactory, |
| 2382 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2383 | { |
| 2384 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2385 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2386 | |
| 2387 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2388 | 7, 8, 9, 10, 11, 12 }); |
| 2389 | |
| 2390 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2391 | |
| 2392 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 2393 | 0, 0, 0, 0, 0, 0 }); |
| 2394 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2395 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2396 | armnn::DataType::QuantisedAsymm8, |
| 2397 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2398 | workloadFactory, |
| 2399 | memoryManager, |
| 2400 | shape0, |
| 2401 | input0, |
| 2402 | shape1, |
| 2403 | input1, |
| 2404 | shape0, |
| 2405 | output, |
| 2406 | 1.0f, |
| 2407 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2408 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2409 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2410 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2411 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2412 | { |
| 2413 | const unsigned int width = 2; |
| 2414 | const unsigned int height = 2; |
| 2415 | const unsigned int channelCount = 2; |
| 2416 | const unsigned int batchSize = 2; |
| 2417 | |
| 2418 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2419 | |
| 2420 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2421 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2422 | |
| 2423 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2424 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2425 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2426 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2427 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2428 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2429 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2430 | workloadFactory, |
| 2431 | memoryManager, |
| 2432 | shape, |
| 2433 | input0, |
| 2434 | shape, |
| 2435 | input1, |
| 2436 | shape, |
| 2437 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2438 | } |
| 2439 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2440 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2441 | armnn::IWorkloadFactory& workloadFactory, |
| 2442 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2443 | { |
| 2444 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2445 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2446 | |
| 2447 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2448 | std::vector<float> input1({ 1 }); |
| 2449 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2450 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2451 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2452 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2453 | workloadFactory, |
| 2454 | memoryManager, |
| 2455 | shape0, |
| 2456 | input0, |
| 2457 | shape1, |
| 2458 | input1, |
| 2459 | shape0, |
| 2460 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2461 | } |
| 2462 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2463 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2464 | armnn::IWorkloadFactory& workloadFactory, |
| 2465 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2466 | { |
| 2467 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2468 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2469 | |
| 2470 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 2471 | 7, 8, 9, 10, 11, 12 }); |
| 2472 | |
| 2473 | std::vector<float> input1({ 1, 3, 2}); |
| 2474 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2475 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 2476 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2477 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2478 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2479 | workloadFactory, |
| 2480 | memoryManager, |
| 2481 | shape0, |
| 2482 | input0, |
| 2483 | shape1, |
| 2484 | input1, |
| 2485 | shape0, |
| 2486 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2487 | } |
| 2488 | |
| 2489 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 2490 | armnn::IWorkloadFactory& workloadFactory, |
| 2491 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2492 | { |
| 2493 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2494 | |
| 2495 | // See dequantized values to the right. |
| 2496 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2497 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2498 | |
| 2499 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2500 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 2501 | |
| 2502 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 2503 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2504 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2505 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2506 | armnn::DataType::QuantisedAsymm8, |
| 2507 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2508 | workloadFactory, |
| 2509 | memoryManager, |
| 2510 | shape, |
| 2511 | input0, |
| 2512 | shape, |
| 2513 | input1, |
| 2514 | shape, |
| 2515 | output, |
| 2516 | 1.0f, |
| 2517 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2518 | } |
| 2519 | |
| 2520 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 2521 | armnn::IWorkloadFactory& workloadFactory, |
| 2522 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2523 | { |
| 2524 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2525 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2526 | |
| 2527 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2528 | 7, 8, 9, 10, 11, 12 }); |
| 2529 | |
| 2530 | std::vector<uint8_t> input1({ 1 }); |
| 2531 | |
| 2532 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 2533 | 1, 1, 1, 1, 1, 1 }); |
| 2534 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2535 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2536 | armnn::DataType::QuantisedAsymm8, |
| 2537 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2538 | workloadFactory, |
| 2539 | memoryManager, |
| 2540 | shape0, |
| 2541 | input0, |
| 2542 | shape1, |
| 2543 | input1, |
| 2544 | shape0, |
| 2545 | output, |
| 2546 | 1.0f, |
| 2547 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2548 | } |
| 2549 | |
| 2550 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 2551 | armnn::IWorkloadFactory& workloadFactory, |
| 2552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2553 | { |
| 2554 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2555 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2556 | |
| 2557 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2558 | 7, 8, 9, 10, 11, 12 }); |
| 2559 | |
| 2560 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2561 | |
| 2562 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 2563 | 1, 1, 1, 1, 1, 1 }); |
| 2564 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2565 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2566 | armnn::DataType::QuantisedAsymm8, |
| 2567 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2568 | workloadFactory, |
| 2569 | memoryManager, |
| 2570 | shape0, |
| 2571 | input0, |
| 2572 | shape1, |
| 2573 | input1, |
| 2574 | shape0, |
| 2575 | output, |
| 2576 | 1.0f, |
| 2577 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2578 | } |
| 2579 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2580 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2581 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2582 | { |
| 2583 | const unsigned int width = 2; |
| 2584 | const unsigned int height = 2; |
| 2585 | const unsigned int channelCount = 2; |
| 2586 | const unsigned int batchSize = 2; |
| 2587 | |
| 2588 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2589 | |
| 2590 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2591 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2592 | |
| 2593 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2594 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2595 | |
| 2596 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 2597 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2598 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2599 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2600 | workloadFactory, |
| 2601 | memoryManager, |
| 2602 | shape, |
| 2603 | input0, |
| 2604 | shape, |
| 2605 | input1, |
| 2606 | shape, |
| 2607 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2608 | } |
| 2609 | |
| 2610 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 2611 | armnn::IWorkloadFactory& workloadFactory, |
| 2612 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2613 | { |
| 2614 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2615 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2616 | |
| 2617 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2618 | std::vector<float> input1({ 2 }); |
| 2619 | |
| 2620 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 2621 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2622 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2623 | workloadFactory, |
| 2624 | memoryManager, |
| 2625 | shape0, |
| 2626 | input0, |
| 2627 | shape1, |
| 2628 | input1, |
| 2629 | shape0, |
| 2630 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2631 | } |
| 2632 | |
| 2633 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 2634 | armnn::IWorkloadFactory& workloadFactory, |
| 2635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2636 | { |
| 2637 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2638 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2639 | |
| 2640 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2641 | 7, 8, 9, 10, 11, 12 }); |
| 2642 | |
| 2643 | std::vector<float> input1({ 1, 2, 3}); |
| 2644 | |
| 2645 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2646 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2647 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2648 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2649 | workloadFactory, |
| 2650 | memoryManager, |
| 2651 | shape0, |
| 2652 | input0, |
| 2653 | shape1, |
| 2654 | input1, |
| 2655 | shape0, |
| 2656 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2657 | } |
| 2658 | |
| 2659 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 2660 | armnn::IWorkloadFactory& workloadFactory, |
| 2661 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2662 | { |
| 2663 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2664 | |
| 2665 | // See dequantized values to the right. |
| 2666 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2667 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2668 | |
| 2669 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2670 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2671 | |
| 2672 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2673 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2674 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2675 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2676 | workloadFactory, |
| 2677 | memoryManager, |
| 2678 | shape, |
| 2679 | input0, |
| 2680 | shape, |
| 2681 | input1, |
| 2682 | shape, |
| 2683 | output, |
| 2684 | 1.0f, |
| 2685 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2686 | } |
| 2687 | |
| 2688 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 2689 | armnn::IWorkloadFactory& workloadFactory, |
| 2690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2691 | { |
| 2692 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2693 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2694 | |
| 2695 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2696 | 7, 8, 9, 10, 11, 12 }); |
| 2697 | |
| 2698 | std::vector<uint8_t> input1({2}); |
| 2699 | |
| 2700 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 2701 | 7, 8, 9, 10, 11, 12 }); |
| 2702 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2703 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2704 | workloadFactory, |
| 2705 | memoryManager, |
| 2706 | shape0, |
| 2707 | input0, |
| 2708 | shape1, |
| 2709 | input1, |
| 2710 | shape0, |
| 2711 | output, |
| 2712 | 1.0f, |
| 2713 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2714 | } |
| 2715 | |
| 2716 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 2717 | armnn::IWorkloadFactory& workloadFactory, |
| 2718 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2719 | { |
| 2720 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2721 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2722 | |
| 2723 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2724 | 7, 8, 9, 10, 11, 12 }); |
| 2725 | |
| 2726 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 2727 | |
| 2728 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 2729 | 7, 10, 9, 10, 11, 12 }); |
| 2730 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2731 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2732 | workloadFactory, |
| 2733 | memoryManager, |
| 2734 | shape0, |
| 2735 | input0, |
| 2736 | shape1, |
| 2737 | input1, |
| 2738 | shape0, |
| 2739 | output, |
| 2740 | 1.0f, |
| 2741 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2742 | } |
| 2743 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2744 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 2745 | armnn::IWorkloadFactory& workloadFactory, |
| 2746 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2747 | { |
| 2748 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2749 | |
| 2750 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2751 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2752 | |
| 2753 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2754 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2755 | |
| 2756 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2757 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2758 | |
| 2759 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2760 | workloadFactory, |
| 2761 | memoryManager, |
| 2762 | shape, |
| 2763 | input0, |
| 2764 | shape, |
| 2765 | input1, |
| 2766 | shape, |
| 2767 | output, |
| 2768 | 1.0f, |
| 2769 | 0); |
| 2770 | } |
| 2771 | |
| 2772 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 2773 | armnn::IWorkloadFactory& workloadFactory, |
| 2774 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2775 | { |
| 2776 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2777 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2778 | |
| 2779 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2780 | 7, 8, 9, 10, 11, 12 }); |
| 2781 | |
| 2782 | std::vector<int16_t> input1({2}); |
| 2783 | |
| 2784 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 2785 | 7, 8, 9, 10, 11, 12 }); |
| 2786 | |
| 2787 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2788 | workloadFactory, |
| 2789 | memoryManager, |
| 2790 | shape0, |
| 2791 | input0, |
| 2792 | shape1, |
| 2793 | input1, |
| 2794 | shape0, |
| 2795 | output, |
| 2796 | 1.0f, |
| 2797 | 0); |
| 2798 | } |
| 2799 | |
| 2800 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 2801 | armnn::IWorkloadFactory& workloadFactory, |
| 2802 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2803 | { |
| 2804 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2805 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2806 | |
| 2807 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2808 | 7, 8, 9, 10, 11, 12 }); |
| 2809 | |
| 2810 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 2811 | |
| 2812 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 2813 | 7, 10, 9, 10, 11, 12 }); |
| 2814 | |
| 2815 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2816 | workloadFactory, |
| 2817 | memoryManager, |
| 2818 | shape0, |
| 2819 | input0, |
| 2820 | shape1, |
| 2821 | input1, |
| 2822 | shape0, |
| 2823 | output, |
| 2824 | 1.0f, |
| 2825 | 0); |
| 2826 | } |
| 2827 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2828 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 2829 | armnn::IWorkloadFactory& workloadFactory, |
| 2830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2831 | { |
| 2832 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2833 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2834 | |
| 2835 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2836 | std::vector<float> input1({ 2 }); |
| 2837 | |
| 2838 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 2839 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2840 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2841 | workloadFactory, |
| 2842 | memoryManager, |
| 2843 | shape0, |
| 2844 | input0, |
| 2845 | shape1, |
| 2846 | input1, |
| 2847 | shape0, |
| 2848 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2849 | } |
| 2850 | |
| 2851 | |
| 2852 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 2853 | armnn::IWorkloadFactory& workloadFactory, |
| 2854 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2855 | { |
| 2856 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2857 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 2858 | |
| 2859 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2860 | std::vector<float> input1({ 5 }); |
| 2861 | |
| 2862 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 2863 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2864 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2865 | workloadFactory, |
| 2866 | memoryManager, |
| 2867 | shape0, |
| 2868 | input0, |
| 2869 | shape1, |
| 2870 | input1, |
| 2871 | shape0, |
| 2872 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2873 | } |
| 2874 | |
| 2875 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 2876 | armnn::IWorkloadFactory & workloadFactory, |
| 2877 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 2878 | { |
| 2879 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2880 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2881 | |
| 2882 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 2883 | 7, 1, 2, 3, 4, 5 }); |
| 2884 | |
| 2885 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 2886 | |
| 2887 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 2888 | 1, 1, 2, 1, 2, 3 }); |
| 2889 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2890 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2891 | workloadFactory, |
| 2892 | memoryManager, |
| 2893 | shape0, |
| 2894 | input0, |
| 2895 | shape1, |
| 2896 | input1, |
| 2897 | shape0, |
| 2898 | output, |
| 2899 | 1.0f, |
| 2900 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2901 | } |
| 2902 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2903 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 2904 | armnn::IWorkloadFactory& workloadFactory, |
| 2905 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2906 | { |
| 2907 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2908 | |
| 2909 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2910 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2911 | |
| 2912 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2913 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2914 | |
| 2915 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2916 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2917 | |
| 2918 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2919 | workloadFactory, |
| 2920 | memoryManager, |
| 2921 | shape, |
| 2922 | input0, |
| 2923 | shape, |
| 2924 | input1, |
| 2925 | shape, |
| 2926 | output, |
| 2927 | 1.0f, |
| 2928 | 0); |
| 2929 | } |
| 2930 | |
| 2931 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 2932 | armnn::IWorkloadFactory& workloadFactory, |
| 2933 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2934 | { |
| 2935 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2936 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2937 | |
| 2938 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2939 | 7, 8, 9, 10, 11, 12 }); |
| 2940 | |
| 2941 | std::vector<int16_t> input1({2}); |
| 2942 | |
| 2943 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 2944 | 2, 2, 2, 2, 2, 2 }); |
| 2945 | |
| 2946 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2947 | workloadFactory, |
| 2948 | memoryManager, |
| 2949 | shape0, |
| 2950 | input0, |
| 2951 | shape1, |
| 2952 | input1, |
| 2953 | shape0, |
| 2954 | output, |
| 2955 | 1.0f, |
| 2956 | 0); |
| 2957 | } |
| 2958 | |
| 2959 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 2960 | armnn::IWorkloadFactory& workloadFactory, |
| 2961 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2962 | { |
| 2963 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2964 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2965 | |
| 2966 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2967 | 7, 8, 9, 10, 11, 12 }); |
| 2968 | |
| 2969 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 2970 | |
| 2971 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 2972 | 1, 8, 3, 1, 10, 3 }); |
| 2973 | |
| 2974 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2975 | workloadFactory, |
| 2976 | memoryManager, |
| 2977 | shape0, |
| 2978 | input0, |
| 2979 | shape1, |
| 2980 | input1, |
| 2981 | shape0, |
| 2982 | output, |
| 2983 | 1.0f, |
| 2984 | 0); |
| 2985 | } |
| 2986 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2987 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2988 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 2989 | armnn::IWorkloadFactory& workloadFactory, |
| 2990 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2991 | const unsigned int shape0[4], |
| 2992 | const std::vector<float> & values0, |
| 2993 | const unsigned int shape1[4], |
| 2994 | const std::vector<float> & values1, |
| 2995 | const unsigned int outShape[4], |
| 2996 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2997 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2998 | const size_t dimensionCount = 4; |
| 2999 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 3000 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 3001 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3002 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3003 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 3004 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3005 | |
| 3006 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3007 | |
| 3008 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3009 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3010 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3011 | |
| 3012 | armnn::MultiplicationQueueDescriptor data; |
| 3013 | armnn::WorkloadInfo info; |
| 3014 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3015 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3016 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3017 | |
| 3018 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3019 | |
| 3020 | inputHandle0->Allocate(); |
| 3021 | inputHandle1->Allocate(); |
| 3022 | outputHandle->Allocate(); |
| 3023 | |
| 3024 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3025 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3026 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3027 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3028 | workload->Execute(); |
| 3029 | |
| 3030 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3031 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3032 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3033 | return ret; |
| 3034 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3035 | } // anonymous namespace |
| 3036 | |
| 3037 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3038 | LayerTestResult<float,4> MultiplicationTest( |
| 3039 | armnn::IWorkloadFactory& workloadFactory, |
| 3040 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3041 | { |
| 3042 | const unsigned int width = 2; |
| 3043 | const unsigned int height = 2; |
| 3044 | const unsigned int channelCount = 2; |
| 3045 | const unsigned int batchSize = 2; |
| 3046 | |
| 3047 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3048 | |
| 3049 | std::vector<float> input0({ |
| 3050 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 3051 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3052 | |
| 3053 | std::vector<float> input1({ |
| 3054 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 3055 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3056 | |
| 3057 | std::vector<float> output({ |
| 3058 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 3059 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 3060 | |
| 3061 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3062 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3063 | shape, |
| 3064 | input0, |
| 3065 | shape, |
| 3066 | input1, |
| 3067 | shape, |
| 3068 | output); |
| 3069 | } |
| 3070 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3071 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 3072 | armnn::IWorkloadFactory& workloadFactory, |
| 3073 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3074 | { |
| 3075 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3076 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3077 | |
| 3078 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3079 | std::vector<float> input1({ 2 }); |
| 3080 | |
| 3081 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3082 | |
| 3083 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3084 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3085 | shape0, |
| 3086 | input0, |
| 3087 | shape1, |
| 3088 | input1, |
| 3089 | shape0, |
| 3090 | output); |
| 3091 | } |
| 3092 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3093 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 3094 | armnn::IWorkloadFactory& workloadFactory, |
| 3095 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3096 | { |
| 3097 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3098 | std::vector<float> input0({ |
| 3099 | 1, 2, 3, 4, 5, 6, |
| 3100 | 7, 8, 9, 10, 11, 12, |
| 3101 | 13, 14, 15, 16, 17, 18}); |
| 3102 | |
| 3103 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3104 | std::vector<float> input1({ 1, 2 }); |
| 3105 | |
| 3106 | std::vector<float> output({ |
| 3107 | 1, 4, 3, 8, 5, 12, |
| 3108 | 7, 16, 9, 20, 11, 24, |
| 3109 | 13, 28, 15, 32, 17, 36}); |
| 3110 | |
| 3111 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3112 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3113 | shape0, |
| 3114 | input0, |
| 3115 | shape1, |
| 3116 | input1, |
| 3117 | shape0, |
| 3118 | output); |
| 3119 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3120 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3121 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 3122 | armnn::IWorkloadFactory& workloadFactory, |
| 3123 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3124 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3125 | { |
| 3126 | const unsigned int width = 16; |
| 3127 | const unsigned int height = 32; |
| 3128 | const unsigned int channelCount = 2; |
| 3129 | const unsigned int batchSize = 5; |
| 3130 | |
| 3131 | armnn::TensorInfo inputTensorInfo0; |
| 3132 | armnn::TensorInfo inputTensorInfo1; |
| 3133 | armnn::TensorInfo outputTensorInfo; |
| 3134 | |
| 3135 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3136 | |
| 3137 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3138 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3139 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3140 | |
| 3141 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 3142 | |
| 3143 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 3144 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 3145 | |
| 3146 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3147 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3148 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3149 | |
| 3150 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3151 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3152 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3153 | |
| 3154 | armnn::MultiplicationQueueDescriptor data; |
| 3155 | armnn::WorkloadInfo info; |
| 3156 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3157 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3158 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3159 | |
| 3160 | armnn::MultiplicationQueueDescriptor refData = data; |
| 3161 | armnn::WorkloadInfo refInfo = info; |
| 3162 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 3163 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 3164 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3165 | |
| 3166 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3167 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 3168 | |
| 3169 | inputHandle0->Allocate(); |
| 3170 | inputHandle1->Allocate(); |
| 3171 | outputHandle->Allocate(); |
| 3172 | inputHandle0Ref->Allocate(); |
| 3173 | inputHandle1Ref->Allocate(); |
| 3174 | outputHandleRef->Allocate(); |
| 3175 | |
| 3176 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3177 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3178 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 3179 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 3180 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3181 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3182 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3183 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3184 | workloadRef->Execute(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3185 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 3186 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3187 | |
| 3188 | return comparisonResult; |
| 3189 | } |
| 3190 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3191 | LayerTestResult<float,4> CompareBatchNormTest( |
| 3192 | armnn::IWorkloadFactory& workloadFactory, |
| 3193 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3194 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3195 | { |
| 3196 | const unsigned int width = 2; |
| 3197 | const unsigned int height = 3; |
| 3198 | const unsigned int channels = 5; |
| 3199 | const unsigned int batchSize = 3; |
| 3200 | |
| 3201 | armnn::TensorInfo inputTensorInfo; |
| 3202 | armnn::TensorInfo outputTensorInfo; |
| 3203 | armnn::TensorInfo tensorInfo; |
| 3204 | |
| 3205 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 3206 | constexpr unsigned int tensorShape[] = {channels}; |
| 3207 | |
| 3208 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3209 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3210 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 3211 | |
| 3212 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 3213 | |
| 3214 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3215 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 3216 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3217 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 3218 | |
| 3219 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3220 | |
| 3221 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3222 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3223 | |
| 3224 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3225 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3226 | |
| 3227 | armnn::BatchNormalizationQueueDescriptor data; |
| 3228 | armnn::WorkloadInfo info; |
| 3229 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 3230 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 3231 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 3232 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 3233 | |
| 3234 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 3235 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 3236 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 3237 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 3238 | |
| 3239 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 3240 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3241 | data.m_Mean = &meanTensor; |
| 3242 | data.m_Variance = &varianceTensor; |
| 3243 | data.m_Beta = &betaTensor; |
| 3244 | data.m_Gamma = &gammaTensor; |
| 3245 | data.m_Parameters.m_Eps = 0.01f; |
| 3246 | |
| 3247 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 3248 | armnn::WorkloadInfo refInfo = info; |
| 3249 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 3250 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3251 | |
| 3252 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 3253 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 3254 | |
| 3255 | inputHandle->Allocate(); |
| 3256 | outputHandle->Allocate(); |
| 3257 | inputHandleRef->Allocate(); |
| 3258 | outputHandleRef->Allocate(); |
| 3259 | |
| 3260 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 3261 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 3262 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3263 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3264 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3265 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3266 | workloadRef->Execute(); |
| 3267 | |
| 3268 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3269 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3270 | |
| 3271 | return ret; |
| 3272 | } |
| 3273 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3274 | template<typename T> |
| 3275 | void PermuteTensorData( |
| 3276 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3277 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3278 | const armnn::PermutationVector& mappings, |
| 3279 | armnn::TensorInfo & inputTensorInfo, |
| 3280 | const T * inputData, |
| 3281 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3282 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3283 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 3284 | if (inputData == nullptr) |
| 3285 | { |
| 3286 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 3287 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3288 | // an assert for Debug builds. |
| 3289 | return; |
| 3290 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3291 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3292 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 3293 | |
| 3294 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3295 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3296 | |
| 3297 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 3298 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 3299 | armnn::WorkloadInfo workloadInfo; |
| 3300 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 3301 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3302 | |
| 3303 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 3304 | |
| 3305 | inputHandle->Allocate(); |
| 3306 | outputHandle->Allocate(); |
| 3307 | |
| 3308 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 3309 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3310 | workload->PostAllocationConfigure(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3311 | workload->Execute(); |
| 3312 | |
| 3313 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 3314 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 3315 | inputTensorInfo = outputTensorInfo; |
| 3316 | } |
| 3317 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3318 | armnn::OriginsDescriptor CreateDescriptorForConcatenation( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3319 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3320 | unsigned int concatDim) |
| 3321 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3322 | std::vector<armnn::TensorShape> shapes; |
| 3323 | shapes.reserve(inputTensorInfos.size()); |
| 3324 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 3325 | { |
| 3326 | shapes.push_back(it.GetShape()); |
| 3327 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3328 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3329 | return armnn::CreateDescriptorForConcatenation(shapes.begin(), |
| 3330 | shapes.end(), |
| 3331 | concatDim); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3332 | } |
| 3333 | |
| 3334 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3335 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 3336 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 3337 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3338 | // |
| 3339 | |
| 3340 | bool NeedPermuteForConcat( |
| 3341 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3342 | unsigned int concatDim) |
| 3343 | { |
| 3344 | // See note above. Additionally we expect the input shapes to have the |
| 3345 | // same number of dimensions. |
| 3346 | unsigned int nDimensions = 0; |
| 3347 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3348 | // Determine the number of dimensions as well as sanity check them |
| 3349 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3350 | for (auto && tensorInfo : inputTensorInfos) |
| 3351 | { |
| 3352 | if (!nDimensions) |
| 3353 | { |
| 3354 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 3355 | } |
| 3356 | else |
| 3357 | { |
| 3358 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 3359 | "Input shapes must have the same number of dimensions"); |
| 3360 | } |
| 3361 | } |
| 3362 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3363 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3364 | } |
| 3365 | |
| 3366 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 3367 | { |
| 3368 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 3369 | if (numDims >= 3) |
| 3370 | { |
| 3371 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 3372 | return inputShape; |
| 3373 | } |
| 3374 | |
| 3375 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 3376 | unsigned int expandedBy = 3 - numDims; |
| 3377 | for (unsigned int i=0; i<numDims; ++i) |
| 3378 | { |
| 3379 | newDims[expandedBy+i] = inputShape[i]; |
| 3380 | } |
| 3381 | return armnn::TensorShape(3u, &newDims[0]); |
| 3382 | } |
| 3383 | |
| 3384 | void Generate3dPermuteVectorForConcat( |
| 3385 | unsigned int numDimensions, |
| 3386 | unsigned int & concatDim, |
| 3387 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 3388 | { |
| 3389 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 3390 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3391 | unsigned int expandedBy = 3 - numDimensions; |
| 3392 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 3393 | |
| 3394 | if (expandedConcatAxis == 2) |
| 3395 | { |
| 3396 | concatDim = 0; |
| 3397 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 3398 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 3399 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3400 | } |
| 3401 | else if (expandedConcatAxis == 1) |
| 3402 | { |
| 3403 | concatDim = 0; |
| 3404 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 3405 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 3406 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3407 | } |
| 3408 | else |
| 3409 | { |
| 3410 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 3411 | concatDim = 0; |
| 3412 | } |
| 3413 | } |
| 3414 | |
| 3415 | // |
| 3416 | // Permute the input tensors so we can do a supported concatenation. |
| 3417 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 3418 | // at the front. Finally this function tells what the output shape |
| 3419 | // of the permuted concatenated tensor is going to be. |
| 3420 | // |
| 3421 | template <typename T> |
| 3422 | void PermuteInputsForConcat( |
| 3423 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3424 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3425 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3426 | std::vector<T *> & inputData, |
| 3427 | std::vector<std::vector<T>> & inputDataStorage, |
| 3428 | armnn::PermutationVector & permuteVector, |
| 3429 | unsigned int & concatDim, |
| 3430 | armnn::TensorInfo & outputTensorInfo) |
| 3431 | { |
| 3432 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 3433 | "Expecting more than one tensor to be concatenated here"); |
| 3434 | |
| 3435 | unsigned int numDims = 0; |
| 3436 | unsigned int nthInput = 0; |
| 3437 | const armnn::PermutationVector identity({0, 1, 2}); |
| 3438 | |
| 3439 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 3440 | std::make_pair(identity, identity); |
| 3441 | |
| 3442 | inputDataStorage.resize(inputData.size()); |
| 3443 | |
| 3444 | for (auto && tensorInfo : inputTensorInfos) |
| 3445 | { |
| 3446 | if (numDims == 0) |
| 3447 | { |
| 3448 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 3449 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3450 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3451 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3452 | permuteVector = permutations.second; |
| 3453 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 3454 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 3455 | } |
| 3456 | else |
| 3457 | { |
| 3458 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 3459 | "All inputs must have the same number of dimensions"); |
| 3460 | } |
| 3461 | |
| 3462 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 3463 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 3464 | |
| 3465 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3466 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3467 | permutations.first, |
| 3468 | newTensorInfo, |
| 3469 | inputData[nthInput], |
| 3470 | inputDataStorage[nthInput]); |
| 3471 | |
| 3472 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 3473 | inputTensorInfos[nthInput] = newTensorInfo; |
| 3474 | |
| 3475 | ++nthInput; |
| 3476 | } |
| 3477 | |
| 3478 | outputTensorInfo.SetShape( |
| 3479 | armnnUtils::Permuted( |
| 3480 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 3481 | permutations.first)); |
| 3482 | } |
| 3483 | |
| 3484 | |
| 3485 | // |
| 3486 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3487 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3488 | // output. |
| 3489 | // |
| 3490 | template <typename T> |
| 3491 | void PermuteOutputForConcat( |
| 3492 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3493 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3494 | const armnn::TensorInfo & tensorInfo, |
| 3495 | const armnn::PermutationVector & permuteVector, |
| 3496 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 3497 | T * data) |
| 3498 | { |
| 3499 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 3500 | if (data == nullptr) |
| 3501 | { |
| 3502 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3503 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3504 | // an assert for Debug builds. |
| 3505 | return; |
| 3506 | } |
| 3507 | |
| 3508 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 3509 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 3510 | std::vector<T> outputData; |
| 3511 | |
| 3512 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 3513 | |
| 3514 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3515 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3516 | permuteVector, |
| 3517 | resultTensorInfo, |
| 3518 | &inputData[0], |
| 3519 | outputData); |
| 3520 | |
| 3521 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 3522 | } |
| 3523 | |
| 3524 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3525 | void Concatenate( |
| 3526 | armnn::IWorkloadFactory& workloadFactory, |
| 3527 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3528 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 3529 | std::initializer_list<T *> inputsOrig, |
| 3530 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 3531 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3532 | unsigned int concatDim, |
| 3533 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3534 | { |
| 3535 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 3536 | if (output == nullptr) |
| 3537 | { |
| 3538 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3539 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3540 | // an assert for Debug builds. |
| 3541 | return; |
| 3542 | } |
| 3543 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3544 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3545 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 3546 | std::vector<T *> inputs = inputsOrig; |
| 3547 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 3548 | |
| 3549 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 3550 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3551 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3552 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 3553 | |
| 3554 | const size_t inputCount = inputTensorInfos.size(); |
| 3555 | |
| 3556 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 3557 | |
| 3558 | if (needPermuteForConcat) |
| 3559 | { |
| 3560 | // |
| 3561 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3562 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3563 | // |
| 3564 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3565 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3566 | inputTensorInfos, |
| 3567 | inputs, |
| 3568 | tmpInputDataStorage, |
| 3569 | permuteVector, |
| 3570 | concatDim, |
| 3571 | outputTensorInfo); |
| 3572 | } |
| 3573 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3574 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3575 | |
| 3576 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 3577 | inputHandles.reserve(inputCount); |
| 3578 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3579 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3580 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 3581 | armnn::ConcatQueueDescriptor queueDescriptor; |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3582 | armnn::OriginsDescriptor viewsDescriptor = CreateDescriptorForConcatenation(inputTensorInfos, concatDim); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3583 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 3584 | |
| 3585 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3586 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3587 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 3588 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 3589 | { |
| 3590 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 3591 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 3592 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3593 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3594 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3595 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3596 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 3597 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3598 | { |
| 3599 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 3600 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 3601 | subTensorsSupported ? |
| 3602 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 3603 | inputTensorInfo.GetShape(), |
| 3604 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 3605 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3606 | |
| 3607 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3608 | } |
| 3609 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3610 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3611 | else |
| 3612 | { |
| 3613 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3614 | { |
| 3615 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 3616 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3617 | } |
| 3618 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3619 | |
| 3620 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3621 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3622 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3623 | } |
| 3624 | |
| 3625 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3626 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 3627 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(queueDescriptor, workloadInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3628 | |
| 3629 | for (auto& inputHandle : inputHandles) |
| 3630 | { |
| 3631 | inputHandle->Allocate(); |
| 3632 | } |
| 3633 | |
| 3634 | outputHandle->Allocate(); |
| 3635 | |
| 3636 | unsigned int nextInputId = 0; |
| 3637 | for (auto& inputHandle : inputHandles) |
| 3638 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3639 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 3640 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3641 | } |
| 3642 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3643 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3644 | workload->Execute(); |
| 3645 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3646 | if (needPermuteForConcat) |
| 3647 | { |
| 3648 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3649 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3650 | outputTensorInfo, |
| 3651 | permuteVector, |
| 3652 | std::move(outputHandle), |
| 3653 | output); |
| 3654 | } |
| 3655 | else |
| 3656 | { |
| 3657 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 3658 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3659 | } |
| 3660 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3661 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3662 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 3663 | armnn::IWorkloadFactory& workloadFactory, |
| 3664 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3665 | float qScale, |
| 3666 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3667 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3668 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3669 | |
| 3670 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 3671 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 3672 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 3673 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3674 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3675 | |
| 3676 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 3677 | |
| 3678 | std::vector<T> output; |
| 3679 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3680 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3681 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3682 | { input0.data(), input1.data(), input2.data() }, |
| 3683 | outputTensorInfo, |
| 3684 | output.data(), |
| 3685 | 0, |
| 3686 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3687 | |
| 3688 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 3689 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3690 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 3691 | })); |
| 3692 | |
| 3693 | return result; |
| 3694 | } |
| 3695 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3696 | LayerTestResult<float, 1> Concatenation1dTest( |
| 3697 | armnn::IWorkloadFactory& workloadFactory, |
| 3698 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3699 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3700 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3701 | } |
| 3702 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3703 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3704 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 3705 | armnn::IWorkloadFactory& workloadFactory, |
| 3706 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3707 | const armnn::TensorInfo& outputTensorInfo, |
| 3708 | unsigned int dimension, |
| 3709 | const float qScale, |
| 3710 | const int32_t qOffset) |
| 3711 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3712 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3713 | |
| 3714 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3715 | // Batch 0 |
| 3716 | 1.0f, 2.0f, 3.0f, |
| 3717 | |
| 3718 | // Batch 1 |
| 3719 | 10.0f, 11.0f, 12.0f, |
| 3720 | })); |
| 3721 | |
| 3722 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3723 | // Batch 0 |
| 3724 | 4.0f, 5.0f, 6.0f, |
| 3725 | |
| 3726 | // Batch 1 |
| 3727 | 13.0f, 14.0f, 15.0f, |
| 3728 | })); |
| 3729 | |
| 3730 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3731 | // Batch 0 |
| 3732 | 7.0f, 8.0f, 9.0f, |
| 3733 | |
| 3734 | // Batch 1 |
| 3735 | 16.0f, 17.0f, 18.0f, |
| 3736 | })); |
| 3737 | |
| 3738 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3739 | |
| 3740 | std::vector<T> output; |
| 3741 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3742 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3743 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3744 | { input0.data(), input1.data(), input2.data() }, |
| 3745 | outputTensorInfo, |
| 3746 | output.data(), |
| 3747 | dimension, |
| 3748 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3749 | |
| 3750 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3751 | return result; |
| 3752 | } |
| 3753 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3754 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3755 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 3756 | armnn::IWorkloadFactory& workloadFactory, |
| 3757 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3758 | float qScale, |
| 3759 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3760 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3761 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3762 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3763 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3764 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 3765 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3766 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3767 | // Batch 0 |
| 3768 | 1.0f, 2.0f, 3.0f, |
| 3769 | |
| 3770 | // Batch 1 |
| 3771 | 10.0f, 11.0f, 12.0f, |
| 3772 | |
| 3773 | // Batch 2 |
| 3774 | 4.0f, 5.0f, 6.0f, |
| 3775 | |
| 3776 | // Batch 3 |
| 3777 | 13.0f, 14.0f, 15.0f, |
| 3778 | |
| 3779 | // Batch 4 |
| 3780 | 7.0f, 8.0f, 9.0f, |
| 3781 | |
| 3782 | // Batch 5 |
| 3783 | 16.0f, 17.0f, 18.0f, |
| 3784 | })); |
| 3785 | |
| 3786 | return result; |
| 3787 | } |
| 3788 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3789 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 3790 | armnn::IWorkloadFactory& workloadFactory, |
| 3791 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3792 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3793 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3794 | } |
| 3795 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3796 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3797 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 3798 | armnn::IWorkloadFactory& workloadFactory, |
| 3799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3800 | float qScale, |
| 3801 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3802 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3803 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3804 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3805 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3806 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 3807 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3808 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3809 | // Batch 0 |
| 3810 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3811 | |
| 3812 | // Batch 1 |
| 3813 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 3814 | })); |
| 3815 | |
| 3816 | return result; |
| 3817 | } |
| 3818 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3819 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 3820 | armnn::IWorkloadFactory& workloadFactory, |
| 3821 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3822 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3823 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3824 | } |
| 3825 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3826 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3827 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 3828 | armnn::IWorkloadFactory& workloadFactory, |
| 3829 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3830 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3831 | int32_t qOffset) |
| 3832 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3833 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3834 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3835 | // Batch 0 |
| 3836 | 1.0f, 2.0f, 3.0f, |
| 3837 | |
| 3838 | // Batch 1 |
| 3839 | 10.0f, 11.0f, 12.0f, |
| 3840 | })); |
| 3841 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3842 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3843 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3844 | // Batch 0 |
| 3845 | 4.0f, 5.0f, 6.0f, |
| 3846 | |
| 3847 | // Batch 1 |
| 3848 | 13.0f, 14.0f, 15.0f, |
| 3849 | |
| 3850 | // Batch 0 |
| 3851 | 7.0f, 8.0f, 9.0f, |
| 3852 | })); |
| 3853 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3854 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3855 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3856 | // Batch 1 |
| 3857 | 16.0f, 17.0f, 18.0f, |
| 3858 | })); |
| 3859 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3860 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3861 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3862 | |
| 3863 | std::vector<T> output; |
| 3864 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3865 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3866 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3867 | { input0.data(), input1.data(), input2.data() }, |
| 3868 | outputTensorInfo, |
| 3869 | output.data(), |
| 3870 | 0, |
| 3871 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3872 | |
| 3873 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3874 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3875 | // Batch 0 |
| 3876 | 1.0f, 2.0f, 3.0f, |
| 3877 | |
| 3878 | // Batch 1 |
| 3879 | 10.0f, 11.0f, 12.0f, |
| 3880 | |
| 3881 | // Batch 2 |
| 3882 | 4.0f, 5.0f, 6.0f, |
| 3883 | |
| 3884 | // Batch 3 |
| 3885 | 13.0f, 14.0f, 15.0f, |
| 3886 | |
| 3887 | // Batch 4 |
| 3888 | 7.0f, 8.0f, 9.0f, |
| 3889 | |
| 3890 | // Batch 5 |
| 3891 | 16.0f, 17.0f, 18.0f, |
| 3892 | })); |
| 3893 | |
| 3894 | return result; |
| 3895 | } |
| 3896 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3897 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 3898 | armnn::IWorkloadFactory& workloadFactory, |
| 3899 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3900 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3901 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3902 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3903 | } |
| 3904 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3905 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3906 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 3907 | armnn::IWorkloadFactory& workloadFactory, |
| 3908 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3909 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3910 | int32_t qOffset) |
| 3911 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3912 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3913 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3914 | // Batch 0 |
| 3915 | 1.0f, 2.0f, 3.0f, |
| 3916 | |
| 3917 | // Batch 1 |
| 3918 | 10.0f, 11.0f, 12.0f, |
| 3919 | })); |
| 3920 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3921 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3922 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3923 | // Batch 0 |
| 3924 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 3925 | |
| 3926 | // Batch 1 |
| 3927 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 3928 | })); |
| 3929 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3930 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3931 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3932 | // Batch 0 |
| 3933 | 9.0f, |
| 3934 | |
| 3935 | // Batch 1 |
| 3936 | 18.0f |
| 3937 | })); |
| 3938 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3939 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3940 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3941 | |
| 3942 | std::vector<T> output; |
| 3943 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3944 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3945 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3946 | { input0.data(), input1.data(), input2.data() }, |
| 3947 | outputTensorInfo, |
| 3948 | output.data(), |
| 3949 | 1, |
| 3950 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3951 | |
| 3952 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3953 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3954 | // Batch 0 |
| 3955 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3956 | |
| 3957 | // Batch 1 |
| 3958 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 3959 | })); |
| 3960 | |
| 3961 | return result; |
| 3962 | } |
| 3963 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3964 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 3965 | armnn::IWorkloadFactory& workloadFactory, |
| 3966 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3967 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3968 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3969 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3970 | } |
| 3971 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3972 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3973 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 3974 | armnn::IWorkloadFactory& workloadFactory, |
| 3975 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3976 | const armnn::TensorInfo& outputTensorInfo, |
| 3977 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3978 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3979 | float qScale, |
| 3980 | int32_t qOffset) |
| 3981 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3982 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3983 | |
| 3984 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3985 | // Batch 0, Channel 0 |
| 3986 | 1.0f, 2.0f, |
| 3987 | |
| 3988 | // Batch 0, Channel 1 |
| 3989 | 3.0f, 4.0f, |
| 3990 | |
| 3991 | // Batch 0, Channel 2 |
| 3992 | 5.0f, 6.0f, |
| 3993 | |
| 3994 | // Batch 1, Channel 0 |
| 3995 | 19.0f, 20.0f, |
| 3996 | |
| 3997 | // Batch 1, Channel 1 |
| 3998 | 21.0f, 22.0f, |
| 3999 | |
| 4000 | // Batch 1, Channel 2 |
| 4001 | 23.0f, 24.0f |
| 4002 | })); |
| 4003 | |
| 4004 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4005 | // Batch 0, Channel 0 |
| 4006 | 7.0f, 8.0f, |
| 4007 | |
| 4008 | // Batch 0, Channel 1 |
| 4009 | 9.0f, 10.0f, |
| 4010 | |
| 4011 | // Batch 0, Channel 2 |
| 4012 | 11.0f, 12.0f, |
| 4013 | |
| 4014 | // Batch 1, Channel 0 |
| 4015 | 25.0f, 26.0f, |
| 4016 | |
| 4017 | // Batch 1, Channel 1 |
| 4018 | 27.0f, 28.0f, |
| 4019 | |
| 4020 | // Batch 1, Channel 2 |
| 4021 | 29.0f, 30.0f |
| 4022 | })); |
| 4023 | |
| 4024 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4025 | // Batch 0, Channel 0 |
| 4026 | 13.0f, 14.0f, |
| 4027 | |
| 4028 | // Batch 0, Channel 1 |
| 4029 | 15.0f, 16.0f, |
| 4030 | |
| 4031 | // Batch 0, Channel 2 |
| 4032 | 17.0f, 18.0f, |
| 4033 | |
| 4034 | // Batch 1, Channel 0 |
| 4035 | 31.0f, 32.0f, |
| 4036 | |
| 4037 | // Batch 1, Channel 1 |
| 4038 | 33.0f, 34.0f, |
| 4039 | |
| 4040 | // Batch 1, Channel 2 |
| 4041 | 35.0f, 36.0f |
| 4042 | })); |
| 4043 | |
| 4044 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4045 | |
| 4046 | std::vector<T> output; |
| 4047 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4048 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4049 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4050 | { input0.data(), input1.data(), input2.data() }, |
| 4051 | outputTensorInfo, |
| 4052 | output.data(), |
| 4053 | dimension, |
| 4054 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4055 | |
| 4056 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4057 | return result; |
| 4058 | } |
| 4059 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4060 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4061 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 4062 | armnn::IWorkloadFactory& workloadFactory, |
| 4063 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4064 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4065 | int32_t qOffset) |
| 4066 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4067 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4068 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4069 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4070 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4071 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4072 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4073 | // Batch 0, Channel 0 |
| 4074 | 1.0f, 2.0f, |
| 4075 | |
| 4076 | // Batch 0, Channel 1 |
| 4077 | 3.0f, 4.0f, |
| 4078 | |
| 4079 | // Batch 0, Channel 2 |
| 4080 | 5.0f, 6.0f, |
| 4081 | |
| 4082 | // Batch 1, Channel 0 |
| 4083 | 19.0f, 20.0f, |
| 4084 | |
| 4085 | // Batch 1, Channel 1 |
| 4086 | 21.0f, 22.0f, |
| 4087 | |
| 4088 | // Batch 1, Channel 2 |
| 4089 | 23.0f, 24.0f, |
| 4090 | |
| 4091 | // Batch 2, Channel 0 |
| 4092 | 7.0f, 8.0f, |
| 4093 | |
| 4094 | // Batch 2, Channel 1 |
| 4095 | 9.0f, 10.0f, |
| 4096 | |
| 4097 | // Batch 2, Channel 2 |
| 4098 | 11.0f, 12.0f, |
| 4099 | |
| 4100 | // Batch 3, Channel 0 |
| 4101 | 25.0f, 26.0f, |
| 4102 | |
| 4103 | // Batch 3, Channel 1 |
| 4104 | 27.0f, 28.0f, |
| 4105 | |
| 4106 | // Batch 3, Channel 2 |
| 4107 | 29.0f, 30.0f, |
| 4108 | |
| 4109 | // Batch 4, Channel 0 |
| 4110 | 13.0f, 14.0f, |
| 4111 | |
| 4112 | // Batch 4, Channel 1 |
| 4113 | 15.0f, 16.0f, |
| 4114 | |
| 4115 | // Batch 4, Channel 2 |
| 4116 | 17.0f, 18.0f, |
| 4117 | |
| 4118 | // Batch 5, Channel 0 |
| 4119 | 31.0f, 32.0f, |
| 4120 | |
| 4121 | // Batch 5, Channel 1 |
| 4122 | 33.0f, 34.0f, |
| 4123 | |
| 4124 | // Batch 5, Channel 2 |
| 4125 | 35.0f, 36.0f |
| 4126 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4127 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4128 | return result; |
| 4129 | } |
| 4130 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4131 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 4132 | armnn::IWorkloadFactory& workloadFactory, |
| 4133 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4134 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4135 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4136 | } |
| 4137 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4138 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4139 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 4140 | armnn::IWorkloadFactory& workloadFactory, |
| 4141 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4142 | float qScale, |
| 4143 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4144 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4145 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4146 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4147 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4148 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4149 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4150 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4151 | // Batch 0, Channel 0 |
| 4152 | 1.0f, 2.0f, |
| 4153 | |
| 4154 | // Batch 0, Channel 1 |
| 4155 | 3.0f, 4.0f, |
| 4156 | |
| 4157 | // Batch 0, Channel 2 |
| 4158 | 5.0f, 6.0f, |
| 4159 | |
| 4160 | // Batch 0, Channel 3 |
| 4161 | 7.0f, 8.0f, |
| 4162 | |
| 4163 | // Batch 0, Channel 4 |
| 4164 | 9.0f, 10.0f, |
| 4165 | |
| 4166 | // Batch 0, Channel 5 |
| 4167 | 11.0f, 12.0f, |
| 4168 | |
| 4169 | // Batch 0, Channel 6 |
| 4170 | 13.0f, 14.0f, |
| 4171 | |
| 4172 | // Batch 0, Channel 7 |
| 4173 | 15.0f, 16.0f, |
| 4174 | |
| 4175 | // Batch 0, Channel 8 |
| 4176 | 17.0f, 18.0f, |
| 4177 | |
| 4178 | // Batch 1, Channel 0 |
| 4179 | 19.0f, 20.0f, |
| 4180 | |
| 4181 | // Batch 1, Channel 1 |
| 4182 | 21.0f, 22.0f, |
| 4183 | |
| 4184 | // Batch 1, Channel 2 |
| 4185 | 23.0f, 24.0f, |
| 4186 | |
| 4187 | // Batch 1, Channel 3 |
| 4188 | 25.0f, 26.0f, |
| 4189 | |
| 4190 | // Batch 1, Channel 4 |
| 4191 | 27.0f, 28.0f, |
| 4192 | |
| 4193 | // Batch 1, Channel 5 |
| 4194 | 29.0f, 30.0f, |
| 4195 | |
| 4196 | // Batch 1, Channel 6 |
| 4197 | 31.0f, 32.0f, |
| 4198 | |
| 4199 | // Batch 1, Channel 7 |
| 4200 | 33.0f, 34.0f, |
| 4201 | |
| 4202 | // Batch 1, Channel 8 |
| 4203 | 35.0f, 36.0f |
| 4204 | })); |
| 4205 | |
| 4206 | return result; |
| 4207 | } |
| 4208 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4209 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 4210 | armnn::IWorkloadFactory& workloadFactory, |
| 4211 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4212 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4213 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4214 | } |
| 4215 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4216 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4217 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 4218 | armnn::IWorkloadFactory& workloadFactory, |
| 4219 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4220 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4221 | float qScale, |
| 4222 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4223 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4224 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4225 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4226 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4227 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4228 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4229 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4230 | // Batch 0, Channel 0 |
| 4231 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 4232 | |
| 4233 | // Batch 0, Channel 1 |
| 4234 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 4235 | |
| 4236 | // Batch 0, Channel 2 |
| 4237 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 4238 | |
| 4239 | // Batch 1, Channel 0 |
| 4240 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 4241 | |
| 4242 | // Batch 1, Channel 1 |
| 4243 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 4244 | |
| 4245 | // Batch 1, Channel 2 |
| 4246 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 4247 | })); |
| 4248 | |
| 4249 | return result; |
| 4250 | } |
| 4251 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4252 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 4253 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4254 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4255 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4256 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4257 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 4258 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4259 | } |
| 4260 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4261 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4262 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 4263 | armnn::IWorkloadFactory& workloadFactory, |
| 4264 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4265 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4266 | int32_t qOffset) |
| 4267 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4268 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4269 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4270 | // Batch 0, Channel 0 |
| 4271 | 1.0f, 2.0f, |
| 4272 | |
| 4273 | // Batch 0, Channel 1 |
| 4274 | 3.0f, 4.0f, |
| 4275 | |
| 4276 | // Batch 0, Channel 2 |
| 4277 | 5.0f, 6.0f, |
| 4278 | |
| 4279 | // Batch 1, Channel 0 |
| 4280 | 19.0f, 20.0f, |
| 4281 | |
| 4282 | // Batch 1, Channel 1 |
| 4283 | 21.0f, 22.0f, |
| 4284 | |
| 4285 | // Batch 1, Channel 2 |
| 4286 | 23.0f, 24.0f |
| 4287 | })); |
| 4288 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4289 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4290 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4291 | // Batch 0, Channel 0 |
| 4292 | 7.0f, 8.0f, |
| 4293 | |
| 4294 | // Batch 0, Channel 1 |
| 4295 | 9.0f, 10.0f, |
| 4296 | |
| 4297 | // Batch 0, Channel 2 |
| 4298 | 11.0f, 12.0f, |
| 4299 | })); |
| 4300 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4301 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4302 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4303 | // Batch 0, Channel 0 |
| 4304 | 25.0f, 26.0f, |
| 4305 | |
| 4306 | // Batch 0, Channel 1 |
| 4307 | 27.0f, 28.0f, |
| 4308 | |
| 4309 | // Batch 0, Channel 2 |
| 4310 | 29.0f, 30.0f, |
| 4311 | |
| 4312 | // Batch 1, Channel 0 |
| 4313 | 13.0f, 14.0f, |
| 4314 | |
| 4315 | // Batch 1, Channel 1 |
| 4316 | 15.0f, 16.0f, |
| 4317 | |
| 4318 | // Batch 1, Channel 2 |
| 4319 | 17.0f, 18.0f, |
| 4320 | |
| 4321 | // Batch 2, Channel 0 |
| 4322 | 31.0f, 32.0f, |
| 4323 | |
| 4324 | // Batch 2, Channel 1 |
| 4325 | 33.0f, 34.0f, |
| 4326 | |
| 4327 | // Batch 2, Channel 2 |
| 4328 | 35.0f, 36.0f |
| 4329 | })); |
| 4330 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4331 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4332 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4333 | |
| 4334 | std::vector<T> output; |
| 4335 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4336 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4337 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4338 | { input0.data(), input1.data(), input2.data() }, |
| 4339 | outputTensorInfo, |
| 4340 | output.data(), |
| 4341 | 0, |
| 4342 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4343 | |
| 4344 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4345 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4346 | // Batch 0, Channel 0 |
| 4347 | 1.0f, 2.0f, |
| 4348 | |
| 4349 | // Batch 0, Channel 1 |
| 4350 | 3.0f, 4.0f, |
| 4351 | |
| 4352 | // Batch 0, Channel 2 |
| 4353 | 5.0f, 6.0f, |
| 4354 | |
| 4355 | // Batch 1, Channel 0 |
| 4356 | 19.0f, 20.0f, |
| 4357 | |
| 4358 | // Batch 1, Channel 1 |
| 4359 | 21.0f, 22.0f, |
| 4360 | |
| 4361 | // Batch 1, Channel 2 |
| 4362 | 23.0f, 24.0f, |
| 4363 | |
| 4364 | // Batch 2, Channel 0 |
| 4365 | 7.0f, 8.0f, |
| 4366 | |
| 4367 | // Batch 2, Channel 1 |
| 4368 | 9.0f, 10.0f, |
| 4369 | |
| 4370 | // Batch 2, Channel 2 |
| 4371 | 11.0f, 12.0f, |
| 4372 | |
| 4373 | // Batch 3, Channel 0 |
| 4374 | 25.0f, 26.0f, |
| 4375 | |
| 4376 | // Batch 3, Channel 1 |
| 4377 | 27.0f, 28.0f, |
| 4378 | |
| 4379 | // Batch 3, Channel 2 |
| 4380 | 29.0f, 30.0f, |
| 4381 | |
| 4382 | // Batch 4, Channel 0 |
| 4383 | 13.0f, 14.0f, |
| 4384 | |
| 4385 | // Batch 4, Channel 1 |
| 4386 | 15.0f, 16.0f, |
| 4387 | |
| 4388 | // Batch 4, Channel 2 |
| 4389 | 17.0f, 18.0f, |
| 4390 | |
| 4391 | // Batch 5, Channel 0 |
| 4392 | 31.0f, 32.0f, |
| 4393 | |
| 4394 | // Batch 5, Channel 1 |
| 4395 | 33.0f, 34.0f, |
| 4396 | |
| 4397 | // Batch 5, Channel 2 |
| 4398 | 35.0f, 36.0f |
| 4399 | })); |
| 4400 | |
| 4401 | return result; |
| 4402 | } |
| 4403 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4404 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 4405 | armnn::IWorkloadFactory& workloadFactory, |
| 4406 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4407 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4408 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4409 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4410 | } |
| 4411 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4412 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4413 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 4414 | armnn::IWorkloadFactory& workloadFactory, |
| 4415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4416 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4417 | int32_t qOffset) |
| 4418 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4419 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4420 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4421 | // Batch 0, Channel 0 |
| 4422 | 1.0f, 2.0f, |
| 4423 | |
| 4424 | // Batch 0, Channel 1 |
| 4425 | 3.0f, 4.0f, |
| 4426 | |
| 4427 | // Batch 0, Channel 2 |
| 4428 | 5.0f, 6.0f, |
| 4429 | |
| 4430 | // Batch 1, Channel 0 |
| 4431 | 19.0f, 20.0f, |
| 4432 | |
| 4433 | // Batch 1, Channel 1 |
| 4434 | 21.0f, 22.0f, |
| 4435 | |
| 4436 | // Batch 1, Channel 2 |
| 4437 | 23.0f, 24.0f |
| 4438 | })); |
| 4439 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4440 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4441 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4442 | // Batch 0, Channel 0 |
| 4443 | 7.0f, 8.0f, |
| 4444 | |
| 4445 | // Batch 0, Channel 1 |
| 4446 | 9.0f, 10.0f, |
| 4447 | |
| 4448 | // Batch 0, Channel 2 |
| 4449 | 11.0f, 12.0f, |
| 4450 | |
| 4451 | // Batch 0, Channel 3 |
| 4452 | 25.0f, 26.0f, |
| 4453 | |
| 4454 | // Batch 1, Channel 0 |
| 4455 | 27.0f, 28.0f, |
| 4456 | |
| 4457 | // Batch 1, Channel 1 |
| 4458 | 29.0f, 30.0f, |
| 4459 | |
| 4460 | // Batch 1, Channel 2 |
| 4461 | 13.0f, 14.0f, |
| 4462 | |
| 4463 | // Batch 1, Channel 3 |
| 4464 | 15.0f, 16.0f, |
| 4465 | })); |
| 4466 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4467 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4468 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4469 | // Batch 0, Channel 0 |
| 4470 | 17.0f, 18.0f, |
| 4471 | |
| 4472 | // Batch 1, Channel 0 |
| 4473 | 31.0f, 32.0f, |
| 4474 | })); |
| 4475 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4476 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4477 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4478 | |
| 4479 | std::vector<T> output; |
| 4480 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4481 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4482 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4483 | { input0.data(), input1.data(), input2.data() }, |
| 4484 | outputTensorInfo, |
| 4485 | output.data(), |
| 4486 | 1, |
| 4487 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4488 | |
| 4489 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4490 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4491 | // Batch 0, Channel 0 |
| 4492 | 1.0f, 2.0f, |
| 4493 | |
| 4494 | // Batch 0, Channel 1 |
| 4495 | 3.0f, 4.0f, |
| 4496 | |
| 4497 | // Batch 0, Channel 2 |
| 4498 | 5.0f, 6.0f, |
| 4499 | |
| 4500 | // Batch 0, Channel 3 |
| 4501 | 7.0f, 8.0f, |
| 4502 | |
| 4503 | // Batch 0, Channel 4 |
| 4504 | 9.0f, 10.0f, |
| 4505 | |
| 4506 | // Batch 0, Channel 5 |
| 4507 | 11.0f, 12.0f, |
| 4508 | |
| 4509 | // Batch 0, Channel 6 |
| 4510 | 25.0f, 26.0f, |
| 4511 | |
| 4512 | // Batch 0, Channel 7 |
| 4513 | 17.0f, 18.0f, |
| 4514 | |
| 4515 | // Batch 1, Channel 0 |
| 4516 | 19.0f, 20.0f, |
| 4517 | |
| 4518 | // Batch 1, Channel 1 |
| 4519 | 21.0f, 22.0f, |
| 4520 | |
| 4521 | // Batch 1, Channel 2 |
| 4522 | 23.0f, 24.0f, |
| 4523 | |
| 4524 | // Batch 1, Channel 3 |
| 4525 | 27.0f, 28.0f, |
| 4526 | |
| 4527 | // Batch 1, Channel 4 |
| 4528 | 29.0f, 30.0f, |
| 4529 | |
| 4530 | // Batch 1, Channel 5 |
| 4531 | 13.0f, 14.0f, |
| 4532 | |
| 4533 | // Batch 1, Channel 6 |
| 4534 | 15.0f, 16.0f, |
| 4535 | |
| 4536 | // Batch 1, Channel 7 |
| 4537 | 31.0f, 32.0f, |
| 4538 | })); |
| 4539 | |
| 4540 | return result; |
| 4541 | } |
| 4542 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4543 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 4544 | armnn::IWorkloadFactory& workloadFactory, |
| 4545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4546 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4547 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4548 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4549 | } |
| 4550 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4551 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4552 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 4553 | armnn::IWorkloadFactory& workloadFactory, |
| 4554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4555 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4556 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4557 | int32_t qOffset) |
| 4558 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4559 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4560 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4561 | // Batch 0, Channel 0 |
| 4562 | 1.0f, 2.0f, |
| 4563 | |
| 4564 | // Batch 0, Channel 1 |
| 4565 | 3.0f, 4.0f, |
| 4566 | |
| 4567 | // Batch 0, Channel 2 |
| 4568 | 5.0f, 6.0f, |
| 4569 | |
| 4570 | // Batch 1, Channel 0 |
| 4571 | 19.0f, 20.0f, |
| 4572 | |
| 4573 | // Batch 1, Channel 1 |
| 4574 | 21.0f, 22.0f, |
| 4575 | |
| 4576 | // Batch 1, Channel 2 |
| 4577 | 23.0f, 24.0f |
| 4578 | })); |
| 4579 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4580 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4581 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4582 | // Batch 0, Channel 0 |
| 4583 | 7.0f, |
| 4584 | |
| 4585 | // Batch 0, Channel 1 |
| 4586 | 9.0f, |
| 4587 | |
| 4588 | // Batch 0, Channel 2 |
| 4589 | 11.0f, |
| 4590 | |
| 4591 | // Batch 1, Channel 0 |
| 4592 | 25.0f, |
| 4593 | |
| 4594 | // Batch 1, Channel 1 |
| 4595 | 27.0f, |
| 4596 | |
| 4597 | // Batch 1, Channel 2 |
| 4598 | 29.0f |
| 4599 | })); |
| 4600 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4601 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4602 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4603 | // Batch 0, Channel 0 |
| 4604 | 13.0f, 14.0f, 50.0f, |
| 4605 | |
| 4606 | // Batch 0, Channel 1 |
| 4607 | 15.0f, 16.0f, 51.0f, |
| 4608 | |
| 4609 | // Batch 0, Channel 2 |
| 4610 | 17.0f, 18.0f, 52.0f, |
| 4611 | |
| 4612 | // Batch 1, Channel 0 |
| 4613 | 31.0f, 32.0f, 53.0f, |
| 4614 | |
| 4615 | // Batch 1, Channel 1 |
| 4616 | 33.0f, 34.0f, 54.0f, |
| 4617 | |
| 4618 | // Batch 1, Channel 2 |
| 4619 | 35.0f, 36.0f, 55.0f, |
| 4620 | })); |
| 4621 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4622 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4623 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4624 | |
| 4625 | std::vector<T> output; |
| 4626 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4627 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4628 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4629 | { input0.data(), input1.data(), input2.data() }, |
| 4630 | outputTensorInfo, |
| 4631 | output.data(), |
| 4632 | 2, |
| 4633 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4634 | |
| 4635 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4636 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4637 | // Batch 0, Channel 0 |
| 4638 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 4639 | |
| 4640 | // Batch 0, Channel 1 |
| 4641 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 4642 | |
| 4643 | // Batch 0, Channel 2 |
| 4644 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 4645 | |
| 4646 | // Batch 1, Channel 0 |
| 4647 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 4648 | |
| 4649 | // Batch 1, Channel 1 |
| 4650 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 4651 | |
| 4652 | // Batch 1, Channel 2 |
| 4653 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 4654 | })); |
| 4655 | |
| 4656 | return result; |
| 4657 | } |
| 4658 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4659 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 4660 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4661 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4662 | bool useSubtensor) |
| 4663 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4664 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4665 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4666 | } |
| 4667 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4668 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4669 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 4670 | armnn::IWorkloadFactory& workloadFactory, |
| 4671 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4672 | const armnn::TensorInfo& outputTensorInfo, |
| 4673 | unsigned int dimension, |
| 4674 | bool useSubtensor, |
| 4675 | float qScale, |
| 4676 | int32_t qOffset) |
| 4677 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4678 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4679 | |
| 4680 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4681 | 1.0f, 2.0f, |
| 4682 | 3.0f, 4.0f, |
| 4683 | 5.0f, 6.0f, |
| 4684 | 7.0f, 8.0f, |
| 4685 | 9.0f, 10.0f, |
| 4686 | 11.0f, 12.0f |
| 4687 | })); |
| 4688 | |
| 4689 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4690 | 11.0f, 12.0f, |
| 4691 | 13.0f, 14.0f, |
| 4692 | 15.0f, 16.0f, |
| 4693 | 17.0f, 18.0f, |
| 4694 | 19.0f, 20.0f, |
| 4695 | 21.0f, 22.0f |
| 4696 | })); |
| 4697 | |
| 4698 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4699 | 21.0f, 22.0f, |
| 4700 | 23.0f, 24.0f, |
| 4701 | 25.0f, 26.0f, |
| 4702 | 27.0f, 28.0f, |
| 4703 | 29.0f, 30.0f, |
| 4704 | 31.0f, 32.0f |
| 4705 | })); |
| 4706 | |
| 4707 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4708 | |
| 4709 | std::vector<T> output; |
| 4710 | output.resize(outputTensorInfo.GetNumElements()); |
| 4711 | |
| 4712 | Concatenate<T>(workloadFactory, |
| 4713 | memoryManager, |
| 4714 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 4715 | {input0.data(), input1.data(), input2.data()}, |
| 4716 | outputTensorInfo, |
| 4717 | output.data(), |
| 4718 | dimension, |
| 4719 | useSubtensor); |
| 4720 | |
| 4721 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4722 | return result; |
| 4723 | } |
| 4724 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4725 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4726 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 4727 | armnn::IWorkloadFactory& workloadFactory, |
| 4728 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4729 | float qScale, |
| 4730 | int32_t qOffset) |
| 4731 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4732 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4733 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4734 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4735 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4736 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4737 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4738 | 1.0f, 2.0f, |
| 4739 | 3.0f, 4.0f, |
| 4740 | 5.0f, 6.0f, |
| 4741 | 7.0f, 8.0f, |
| 4742 | 9.0f, 10.0f, |
| 4743 | 11.0f, 12.0f, |
| 4744 | |
| 4745 | 11.0f, 12.0f, |
| 4746 | 13.0f, 14.0f, |
| 4747 | 15.0f, 16.0f, |
| 4748 | 17.0f, 18.0f, |
| 4749 | 19.0f, 20.0f, |
| 4750 | 21.0f, 22.0f, |
| 4751 | |
| 4752 | 21.0f, 22.0f, |
| 4753 | 23.0f, 24.0f, |
| 4754 | 25.0f, 26.0f, |
| 4755 | 27.0f, 28.0f, |
| 4756 | 29.0f, 30.0f, |
| 4757 | 31.0f, 32.0f |
| 4758 | })); |
| 4759 | return result; |
| 4760 | } |
| 4761 | |
| 4762 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 4763 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4765 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4766 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4767 | } |
| 4768 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4769 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4770 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 4771 | armnn::IWorkloadFactory& workloadFactory, |
| 4772 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4773 | float qScale, |
| 4774 | int32_t qOffset) |
| 4775 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4776 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4777 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4778 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4779 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 4780 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4781 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4782 | 1.0f, 2.0f, |
| 4783 | 3.0f, 4.0f, |
| 4784 | 5.0f, 6.0f, |
| 4785 | 7.0f, 8.0f, |
| 4786 | 9.0f, 10.0f, |
| 4787 | 11.0f, 12.0f, |
| 4788 | |
| 4789 | 11.0f, 12.0f, |
| 4790 | 13.0f, 14.0f, |
| 4791 | 15.0f, 16.0f, |
| 4792 | 17.0f, 18.0f, |
| 4793 | 19.0f, 20.0f, |
| 4794 | 21.0f, 22.0f, |
| 4795 | |
| 4796 | 21.0f, 22.0f, |
| 4797 | 23.0f, 24.0f, |
| 4798 | 25.0f, 26.0f, |
| 4799 | 27.0f, 28.0f, |
| 4800 | 29.0f, 30.0f, |
| 4801 | 31.0f, 32.0f |
| 4802 | })); |
| 4803 | |
| 4804 | return result; |
| 4805 | } |
| 4806 | |
| 4807 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 4808 | armnn::IWorkloadFactory& workloadFactory, |
| 4809 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4810 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4811 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4812 | } |
| 4813 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4814 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4815 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 4816 | armnn::IWorkloadFactory& workloadFactory, |
| 4817 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4818 | float qScale, |
| 4819 | int32_t qOffset) |
| 4820 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4821 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4822 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4823 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4824 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 4825 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4826 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4827 | 1.0f, 2.0f, |
| 4828 | 3.0f, 4.0f, |
| 4829 | 11.0f, 12.0f, |
| 4830 | 13.0f, 14.0f, |
| 4831 | 21.0f, 22.0f, |
| 4832 | 23.0f, 24.0f, |
| 4833 | |
| 4834 | 5.0f, 6.0f, |
| 4835 | 7.0f, 8.0f, |
| 4836 | 15.0f, 16.0f, |
| 4837 | 17.0f, 18.0f, |
| 4838 | 25.0f, 26.0f, |
| 4839 | 27.0f, 28.0f, |
| 4840 | |
| 4841 | 9.0f, 10.0f, |
| 4842 | 11.0f, 12.0f, |
| 4843 | 19.0f, 20.0f, |
| 4844 | 21.0f, 22.0f, |
| 4845 | 29.0f, 30.0f, |
| 4846 | 31.0f, 32.0f |
| 4847 | })); |
| 4848 | |
| 4849 | return result; |
| 4850 | } |
| 4851 | |
| 4852 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 4853 | armnn::IWorkloadFactory& workloadFactory, |
| 4854 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4855 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4856 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4857 | } |
| 4858 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4859 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4860 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 4861 | armnn::IWorkloadFactory& workloadFactory, |
| 4862 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4863 | float qScale, |
| 4864 | int32_t qOffset, |
| 4865 | bool useSubtensor) |
| 4866 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4867 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4868 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4869 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4870 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 4871 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4872 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4873 | 1.0f, 2.0f, |
| 4874 | 11.0f, 12.0f, |
| 4875 | 21.0f, 22.0f, |
| 4876 | 3.0f, 4.0f, |
| 4877 | 13.0f, 14.0f, |
| 4878 | 23.0f, 24.0f, |
| 4879 | |
| 4880 | 5.0f, 6.0f, |
| 4881 | 15.0f, 16.0f, |
| 4882 | 25.0f, 26.0f, |
| 4883 | 7.0f, 8.0f, |
| 4884 | 17.0f, 18.0f, |
| 4885 | 27.0f, 28.0f, |
| 4886 | |
| 4887 | 9.0f, 10.0f, |
| 4888 | 19.0f, 20.0f, |
| 4889 | 29.0f, 30.0f, |
| 4890 | 11.0f, 12.0f, |
| 4891 | 21.0f, 22.0f, |
| 4892 | 31.0f, 32.0f |
| 4893 | })); |
| 4894 | |
| 4895 | return result; |
| 4896 | } |
| 4897 | |
| 4898 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 4899 | armnn::IWorkloadFactory& workloadFactory, |
| 4900 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4901 | bool useSubtensor) |
| 4902 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4903 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 4904 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4905 | } |
| 4906 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4907 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4908 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 4909 | armnn::IWorkloadFactory& workloadFactory, |
| 4910 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4911 | float qScale, |
| 4912 | int32_t qOffset) |
| 4913 | { |
| 4914 | unsigned int dimension = 0; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4915 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4916 | |
| 4917 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4918 | 1.0f, 2.0f, |
| 4919 | 3.0f, 4.0f, |
| 4920 | 5.0f, 6.0f, |
| 4921 | 7.0f, 8.0f, |
| 4922 | 9.0f, 10.0f, |
| 4923 | 11.0f, 12.0f |
| 4924 | })); |
| 4925 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4926 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4927 | |
| 4928 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4929 | 11.0f, 12.0f, |
| 4930 | 13.0f, 14.0f, |
| 4931 | 15.0f, 16.0f, |
| 4932 | 17.0f, 18.0f, |
| 4933 | 19.0f, 20.0f, |
| 4934 | 21.0f, 22.0f, |
| 4935 | |
| 4936 | 21.0f, 22.0f, |
| 4937 | 23.0f, 24.0f, |
| 4938 | 25.0f, 26.0f, |
| 4939 | 27.0f, 28.0f, |
| 4940 | 29.0f, 30.0f, |
| 4941 | 31.0f, 32.0f |
| 4942 | |
| 4943 | })); |
| 4944 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4945 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4946 | |
| 4947 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4948 | |
| 4949 | std::vector<T> output; |
| 4950 | output.resize(outputTensorInfo.GetNumElements()); |
| 4951 | Concatenate<T>(workloadFactory, |
| 4952 | memoryManager, |
| 4953 | {inputTensorInfo0, inputTensorInfo1}, |
| 4954 | {input0.data(), input1.data()}, |
| 4955 | outputTensorInfo, |
| 4956 | output.data(), |
| 4957 | dimension, |
| 4958 | true); |
| 4959 | |
| 4960 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4961 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4962 | 1.0f, 2.0f, |
| 4963 | 3.0f, 4.0f, |
| 4964 | 5.0f, 6.0f, |
| 4965 | 7.0f, 8.0f, |
| 4966 | 9.0f, 10.0f, |
| 4967 | 11.0f, 12.0f, |
| 4968 | |
| 4969 | 11.0f, 12.0f, |
| 4970 | 13.0f, 14.0f, |
| 4971 | 15.0f, 16.0f, |
| 4972 | 17.0f, 18.0f, |
| 4973 | 19.0f, 20.0f, |
| 4974 | 21.0f, 22.0f, |
| 4975 | |
| 4976 | 21.0f, 22.0f, |
| 4977 | 23.0f, 24.0f, |
| 4978 | 25.0f, 26.0f, |
| 4979 | 27.0f, 28.0f, |
| 4980 | 29.0f, 30.0f, |
| 4981 | 31.0f, 32.0f |
| 4982 | })); |
| 4983 | |
| 4984 | return result; |
| 4985 | } |
| 4986 | |
| 4987 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 4988 | armnn::IWorkloadFactory& workloadFactory, |
| 4989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4990 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4991 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 4992 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4993 | } |
| 4994 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4995 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4996 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 4997 | armnn::IWorkloadFactory& workloadFactory, |
| 4998 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4999 | float qScale, |
| 5000 | int32_t qOffset) |
| 5001 | { |
| 5002 | unsigned int dimension = 1; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5003 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5004 | |
| 5005 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5006 | 1.0f, 2.0f, |
| 5007 | 3.0f, 4.0f, |
| 5008 | 5.0f, 6.0f, |
| 5009 | 7.0f, 8.0f, |
| 5010 | 9.0f, 10.0f, |
| 5011 | 11.0f, 12.0f |
| 5012 | })); |
| 5013 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5014 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5015 | |
| 5016 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5017 | 11.0f, 12.0f, |
| 5018 | 13.0f, 14.0f, |
| 5019 | 15.0f, 16.0f, |
| 5020 | 17.0f, 18.0f, |
| 5021 | |
| 5022 | })); |
| 5023 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5024 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5025 | |
| 5026 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5027 | |
| 5028 | std::vector<T> output; |
| 5029 | output.resize(outputTensorInfo.GetNumElements()); |
| 5030 | Concatenate<T>(workloadFactory, |
| 5031 | memoryManager, |
| 5032 | {inputTensorInfo0, inputTensorInfo1}, |
| 5033 | {input0.data(), input1.data()}, |
| 5034 | outputTensorInfo, |
| 5035 | output.data(), |
| 5036 | dimension, |
| 5037 | true); |
| 5038 | |
| 5039 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5040 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5041 | 1.0f, 2.0f, |
| 5042 | 3.0f, 4.0f, |
| 5043 | 5.0f, 6.0f, |
| 5044 | 7.0f, 8.0f, |
| 5045 | 9.0f, 10.0f, |
| 5046 | 11.0f, 12.0f, |
| 5047 | 11.0f, 12.0f, |
| 5048 | 13.0f, 14.0f, |
| 5049 | 15.0f, 16.0f, |
| 5050 | 17.0f, 18.0f |
| 5051 | })); |
| 5052 | |
| 5053 | return result; |
| 5054 | } |
| 5055 | |
| 5056 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 5057 | armnn::IWorkloadFactory& workloadFactory, |
| 5058 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5059 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5060 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 5061 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5062 | } |
| 5063 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5064 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5065 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 5066 | armnn::IWorkloadFactory& workloadFactory, |
| 5067 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5068 | float qScale, |
| 5069 | int32_t qOffset) |
| 5070 | { |
| 5071 | unsigned int dimension = 2; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5072 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5073 | |
| 5074 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5075 | 1.0f, 2.0f, |
| 5076 | 3.0f, 4.0f, |
| 5077 | 5.0f, 6.0f, |
| 5078 | 7.0f, 8.0f, |
| 5079 | 9.0f, 10.0f, |
| 5080 | 11.0f, 12.0f |
| 5081 | })); |
| 5082 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5083 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5084 | |
| 5085 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5086 | 11.0f, 12.0f, |
| 5087 | 13.0f, 14.0f, |
| 5088 | 15.0f, 16.0f, |
| 5089 | 17.0f, 18.0f, |
| 5090 | 19.0f, 20.0f, |
| 5091 | 21.0f, 22.0f, |
| 5092 | 23.0f, 24.0f, |
| 5093 | 25.0f, 26.0f, |
| 5094 | 27.0f, 28.0f |
| 5095 | })); |
| 5096 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5097 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5098 | |
| 5099 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5100 | |
| 5101 | std::vector<T> output; |
| 5102 | output.resize(outputTensorInfo.GetNumElements()); |
| 5103 | Concatenate<T>(workloadFactory, |
| 5104 | memoryManager, |
| 5105 | {inputTensorInfo0, inputTensorInfo1}, |
| 5106 | {input0.data(), input1.data()}, |
| 5107 | outputTensorInfo, |
| 5108 | output.data(), |
| 5109 | dimension, |
| 5110 | true); |
| 5111 | |
| 5112 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5113 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5114 | 1.0f, 2.0f, |
| 5115 | 3.0f, 4.0f, |
| 5116 | 11.0f, 12.0f, |
| 5117 | 13.0f, 14.0f, |
| 5118 | 15.0f, 16.0f, |
| 5119 | |
| 5120 | 5.0f, 6.0f, |
| 5121 | 7.0f, 8.0f, |
| 5122 | 17.0f, 18.0f, |
| 5123 | 19.0f, 20.0f, |
| 5124 | 21.0f, 22.0f, |
| 5125 | |
| 5126 | 9.0f, 10.0f, |
| 5127 | 11.0f, 12.0f, |
| 5128 | 23.0f, 24.0f, |
| 5129 | 25.0f, 26.0f, |
| 5130 | 27.0f, 28.0f |
| 5131 | })); |
| 5132 | |
| 5133 | return result; |
| 5134 | } |
| 5135 | |
| 5136 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 5137 | armnn::IWorkloadFactory& workloadFactory, |
| 5138 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5139 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5140 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 5141 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5142 | } |
| 5143 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5144 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5145 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 5146 | armnn::IWorkloadFactory& workloadFactory, |
| 5147 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5148 | float qScale, |
| 5149 | int32_t qOffset, |
| 5150 | bool useSubtensor) |
| 5151 | { |
| 5152 | unsigned int dimension = 3; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5153 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5154 | |
| 5155 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5156 | 1.0f, 2.0f, |
| 5157 | 3.0f, 4.0f, |
| 5158 | 5.0f, 6.0f, |
| 5159 | 7.0f, 8.0f, |
| 5160 | 9.0f, 10.0f, |
| 5161 | 11.0f, 12.0f |
| 5162 | })); |
| 5163 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5164 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5165 | |
| 5166 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5167 | 11.0f, 12.0f, 13.0f, |
| 5168 | 14.0f, 15.0f, 16.0f, |
| 5169 | |
| 5170 | 17.0f, 18.0f, 19.0f, |
| 5171 | 20.0f, 21.0f, 22.0f, |
| 5172 | |
| 5173 | 23.0f, 24.0f, 25.0f, |
| 5174 | 26.0f, 27.0f, 28.0f |
| 5175 | })); |
| 5176 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5177 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5178 | |
| 5179 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5180 | |
| 5181 | std::vector<T> output; |
| 5182 | output.resize(outputTensorInfo.GetNumElements()); |
| 5183 | Concatenate<T>(workloadFactory, |
| 5184 | memoryManager, |
| 5185 | {inputTensorInfo0, inputTensorInfo1}, |
| 5186 | {input0.data(), input1.data()}, |
| 5187 | outputTensorInfo, |
| 5188 | output.data(), |
| 5189 | dimension, |
| 5190 | useSubtensor); |
| 5191 | |
| 5192 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5193 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5194 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 5195 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 5196 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 5197 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 5198 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 5199 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 5200 | })); |
| 5201 | |
| 5202 | return result; |
| 5203 | } |
| 5204 | |
| 5205 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 5206 | armnn::IWorkloadFactory& workloadFactory, |
| 5207 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5208 | bool useSubtensor) |
| 5209 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5210 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 5211 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5212 | } |
| 5213 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5214 | LayerTestResult<float, 4> ResizeBilinearNopTest( |
| 5215 | armnn::IWorkloadFactory& workloadFactory, |
| 5216 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5217 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5218 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5219 | const armnn::TensorInfo inputTensorInfo = |
| 5220 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 5221 | |
| 5222 | const armnn::TensorInfo outputTensorInfo = |
| 5223 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5224 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5225 | std::vector<float> inputData({ |
| 5226 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5227 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5228 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 5229 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 5230 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5231 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5232 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5233 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 5234 | 4.0f, 5.0f, 6.0f, 7.0f |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5235 | }); |
| 5236 | |
| 5237 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5238 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5239 | { |
| 5240 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5241 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5242 | inputData = tmp; |
| 5243 | } |
| 5244 | |
| 5245 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5246 | |
| 5247 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 5248 | result.outputExpected = input; |
| 5249 | |
| 5250 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5251 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5252 | |
| 5253 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5254 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
| 5255 | armnn::WorkloadInfo info; |
| 5256 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5257 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5258 | |
| 5259 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5260 | |
| 5261 | inputHandle->Allocate(); |
| 5262 | outputHandle->Allocate(); |
| 5263 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5264 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5265 | workload->PostAllocationConfigure(); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5266 | workload->Execute(); |
| 5267 | |
| 5268 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5269 | return result; |
| 5270 | } |
| 5271 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5272 | LayerTestResult<float, 4> SimpleResizeBilinearTest( |
| 5273 | armnn::IWorkloadFactory& workloadFactory, |
| 5274 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5275 | const armnn::DataLayout dataLayout) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5276 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5277 | const armnn::TensorInfo inputTensorInfo = |
| 5278 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
| 5279 | |
| 5280 | const armnn::TensorInfo outputTensorInfo = |
| 5281 | armnnUtils::GetTensorInfo(1, 2, 1, 1, dataLayout, armnn::DataType::Float32); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5282 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5283 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5284 | 1.0f, 255.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5285 | 200.0f, 250.0f, |
| 5286 | |
| 5287 | 250.0f, 200.0f, |
| 5288 | 250.0f, 1.0f |
| 5289 | }); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5290 | |
| 5291 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 5292 | // 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] | 5293 | // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as |
| 5294 | // its single element, the value that was at position (0,0) of the input matrix (rather than an average, |
| 5295 | // which we would expect if projecting the centre). |
| 5296 | |
| 5297 | std::vector<float> outputData({ |
| 5298 | 1.0f, |
| 5299 | |
| 5300 | 250.0f |
| 5301 | }); |
| 5302 | |
| 5303 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5304 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5305 | { |
| 5306 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5307 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5308 | inputData = tmp; |
| 5309 | |
| 5310 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5311 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5312 | outputData = tmp1; |
| 5313 | } |
| 5314 | |
| 5315 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5316 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5317 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5318 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5319 | |
| 5320 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5321 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5322 | |
| 5323 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 5324 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5325 | armnn::WorkloadInfo info; |
| 5326 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5327 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5328 | |
| 5329 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5330 | |
| 5331 | inputHandle->Allocate(); |
| 5332 | outputHandle->Allocate(); |
| 5333 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5334 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5335 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5336 | workload->Execute(); |
| 5337 | |
| 5338 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5339 | return result; |
| 5340 | } |
| 5341 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5342 | LayerTestResult<float, 4> ResizeBilinearSqMinTest( |
| 5343 | armnn::IWorkloadFactory& workloadFactory, |
| 5344 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5345 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5346 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5347 | const armnn::TensorInfo inputTensorInfo = |
| 5348 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 5349 | |
| 5350 | const armnn::TensorInfo outputTensorInfo = |
| 5351 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5352 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5353 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5354 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5355 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5356 | 3.0f, 4.0f, 5.0f, 6.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5357 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 5358 | |
| 5359 | 7.0f, 6.0f, 5.0f, 4.0f, |
| 5360 | 6.0f, 5.0f, 4.0f, 3.0f, |
| 5361 | 5.0f, 4.0f, 3.0f, 2.0f, |
| 5362 | 4.0f, 3.0f, 2.0f, 1.0f |
| 5363 | }); |
| 5364 | |
| 5365 | std::vector<float> outputData({ |
| 5366 | 1.0f, 3.0f, |
| 5367 | 3.0f, 5.0f, |
| 5368 | |
| 5369 | 7.0f, 5.0f, |
| 5370 | 5.0f, 3.0f |
| 5371 | }); |
| 5372 | |
| 5373 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5374 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5375 | { |
| 5376 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5377 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5378 | inputData = tmp; |
| 5379 | |
| 5380 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5381 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5382 | outputData = tmp1; |
| 5383 | } |
| 5384 | |
| 5385 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5386 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5387 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5388 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5389 | |
| 5390 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5391 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5392 | |
| 5393 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5394 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5395 | armnn::WorkloadInfo info; |
| 5396 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5397 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5398 | |
| 5399 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5400 | |
| 5401 | inputHandle->Allocate(); |
| 5402 | outputHandle->Allocate(); |
| 5403 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5404 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5405 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5406 | workload->Execute(); |
| 5407 | |
| 5408 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5409 | return result; |
| 5410 | } |
| 5411 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5412 | LayerTestResult<float, 4> ResizeBilinearMinTest( |
| 5413 | armnn::IWorkloadFactory& workloadFactory, |
| 5414 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5415 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5416 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5417 | const armnn::TensorInfo inputTensorInfo = |
| 5418 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
| 5419 | |
| 5420 | const armnn::TensorInfo outputTensorInfo = |
| 5421 | armnnUtils::GetTensorInfo(1, 2, 2, 3, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5422 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5423 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5424 | 1.0f, 2.0f, 3.0f, 5.0f, 8.0f, |
| 5425 | 13.0f, 21.0f, 34.0f, 55.0f, 89.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5426 | 144.0f, 233.0f, 377.0f, 610.0f, 987.0f, |
| 5427 | |
| 5428 | 987.0f, 610.0f, 377.0f, 233.0f, 144.0f, |
| 5429 | 89.0f, 55.0f, 34.0f, 21.0f, 13.0f, |
| 5430 | 8.0f, 5.0f, 3.0f, 2.0f, 1.0f |
| 5431 | }); |
| 5432 | |
| 5433 | std::vector<float> outputData({ |
| 5434 | 1.0f, 2.6666f, 6.00f, |
| 5435 | 78.5f, 179.3333f, 401.00f, |
| 5436 | |
| 5437 | 987.0f, 454.6670f, 203.33f, |
| 5438 | 48.5f, 22.3333f, 10.00f |
| 5439 | }); |
| 5440 | |
| 5441 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5442 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5443 | { |
| 5444 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5445 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5446 | inputData = tmp; |
| 5447 | |
| 5448 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5449 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5450 | outputData = tmp1; |
| 5451 | } |
| 5452 | |
| 5453 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5454 | |
| 5455 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5456 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5457 | |
| 5458 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5459 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5460 | |
| 5461 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5462 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5463 | armnn::WorkloadInfo info; |
| 5464 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5465 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5466 | |
| 5467 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5468 | |
| 5469 | inputHandle->Allocate(); |
| 5470 | outputHandle->Allocate(); |
| 5471 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5472 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5473 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5474 | workload->Execute(); |
| 5475 | |
| 5476 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5477 | return result; |
| 5478 | } |
| 5479 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5480 | LayerTestResult<float, 4> ResizeBilinearMagTest( |
| 5481 | armnn::IWorkloadFactory& workloadFactory, |
| 5482 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5483 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5484 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5485 | const armnn::TensorInfo inputTensorInfo = |
| 5486 | armnnUtils::GetTensorInfo(1, 2, 3, 2, dataLayout, armnn::DataType::Float32); |
| 5487 | |
| 5488 | const armnn::TensorInfo outputTensorInfo = |
| 5489 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5490 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5491 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5492 | 1.0f, 2.0f, |
| 5493 | 13.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5494 | 144.0f, 233.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5495 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5496 | 233.0f, 144.0f, |
| 5497 | 21.0f, 13.0f, |
| 5498 | 2.0f, 1.0f |
| 5499 | }); |
| 5500 | |
| 5501 | std::vector<float> outputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5502 | 1.0f, 1.4f, 1.8f, 2.0f, 2.0f, |
| 5503 | 13.0f, 16.2f, 19.4f, 21.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5504 | 144.0f, 179.6f, 215.2f, 233.0f, 233.0f, |
| 5505 | |
| 5506 | 233.0f, 197.4f, 161.8f, 144.0f, 144.0f, |
| 5507 | 21.0f, 17.8f, 14.6f, 13.0f, 13.0f, |
| 5508 | 2.0f, 1.6f, 1.2f, 1.0f, 1.0f |
| 5509 | }); |
| 5510 | |
| 5511 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5512 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5513 | { |
| 5514 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5515 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5516 | inputData = tmp; |
| 5517 | |
| 5518 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5519 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5520 | outputData = tmp1; |
| 5521 | } |
| 5522 | |
| 5523 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5524 | |
| 5525 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 5526 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5527 | |
| 5528 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5529 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5530 | |
| 5531 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5532 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5533 | armnn::WorkloadInfo info; |
| 5534 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5535 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5536 | |
| 5537 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5538 | |
| 5539 | inputHandle->Allocate(); |
| 5540 | outputHandle->Allocate(); |
| 5541 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5542 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5543 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5544 | workload->Execute(); |
| 5545 | |
| 5546 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5547 | return result; |
| 5548 | } |
| 5549 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5550 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 5551 | armnn::IWorkloadFactory& workloadFactory, |
| 5552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5553 | { |
| 5554 | constexpr unsigned int width = 2; |
| 5555 | constexpr unsigned int height = 3; |
| 5556 | |
| 5557 | const armnn::TensorInfo tensorInfo({height, width }, |
| 5558 | armnn::DataType::Float32); |
| 5559 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5560 | -10.0f, -5.0f, |
| 5561 | 0.0f, 5.0f, |
| 5562 | 10.0f, 10.0f |
| 5563 | })); |
| 5564 | |
| 5565 | LayerTestResult<float, 2> ret(tensorInfo); |
| 5566 | |
| 5567 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5568 | |
| 5569 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5570 | |
| 5571 | armnn::FakeQuantizationQueueDescriptor data; |
| 5572 | armnn::WorkloadInfo info; |
| 5573 | |
| 5574 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 5575 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 5576 | float min = -10.f; |
| 5577 | float max = 10.f; |
| 5578 | |
| 5579 | data.m_Parameters.m_Min = min; |
| 5580 | data.m_Parameters.m_Max = max; |
| 5581 | |
| 5582 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 5583 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 5584 | armnn::WorkloadInfo refInfo = info; |
| 5585 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 5586 | |
| 5587 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 5588 | |
| 5589 | inputHandle->Allocate(); |
| 5590 | outputHandle->Allocate(); |
| 5591 | |
| 5592 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 5593 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5594 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5595 | workload->Execute(); |
| 5596 | |
| 5597 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 5598 | |
| 5599 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5600 | 0.0f, 63.0f, |
| 5601 | 128.0f, 191.0f, |
| 5602 | 255.0f, 255.0f |
| 5603 | })); |
| 5604 | return ret; |
| 5605 | } |
| 5606 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5607 | namespace |
| 5608 | { |
| 5609 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5610 | LayerTestResult<float, 4> L2NormalizationTestImpl( |
| 5611 | armnn::IWorkloadFactory& workloadFactory, |
| 5612 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5613 | const armnn::TensorShape& inputOutputTensorShape, |
| 5614 | const std::vector<float>& inputValues, |
| 5615 | const std::vector<float>& expectedOutputValues, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5616 | const armnn::DataLayout layout) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5617 | { |
| 5618 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5619 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5620 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5621 | // at this point if we require it permute the input data |
| 5622 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 5623 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5624 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5625 | { |
| 5626 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5627 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5628 | inputData = tmp; |
| 5629 | } |
| 5630 | |
| 5631 | auto inputTensor = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5632 | |
| 5633 | LayerTestResult<float, 4> result(outputTensorInfo); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5634 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5635 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5636 | { |
| 5637 | std::vector<float> tmp(expectedOutputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5638 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, |
| 5639 | expectedOutputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5640 | expectedOutputData = tmp; |
| 5641 | } |
| 5642 | result.outputExpected = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5643 | |
| 5644 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5645 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5646 | |
| 5647 | armnn::L2NormalizationQueueDescriptor descriptor; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5648 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5649 | armnn::WorkloadInfo info; |
| 5650 | |
| 5651 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5652 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5653 | |
| 5654 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 5655 | |
| 5656 | inputHandle->Allocate(); |
| 5657 | outputHandle->Allocate(); |
| 5658 | |
| 5659 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5660 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5661 | workload->PostAllocationConfigure(); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5662 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5663 | |
| 5664 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5665 | |
| 5666 | return result; |
| 5667 | } |
| 5668 | |
| 5669 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 5670 | { |
| 5671 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 5672 | [](float acc, float element) { return acc + element * element; }); |
| 5673 | return 1.0f / sqrtf(reduction); |
| 5674 | } |
| 5675 | |
| 5676 | } // anonymous namespace |
| 5677 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5678 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5679 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 5680 | armnn::IWorkloadFactory& workloadFactory, |
| 5681 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5682 | float qScale, |
| 5683 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5684 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5685 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 5686 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5687 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5688 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5689 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5690 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5691 | std::vector<T> inputValues( |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5692 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5693 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5694 | // Height (3) x Width (3) |
| 5695 | 4, 8, 6, |
| 5696 | 7, 4, 4, |
| 5697 | 3, 2, 4 |
| 5698 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5699 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5700 | std::vector<T> expectedOutputValues( |
| 5701 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5702 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5703 | 0, 0, 0, 0, 0, 0, 0, |
| 5704 | 0, 0, 0, 0, 0, 0, 0, |
| 5705 | 0, 0, 4, 8, 6, 0, 0, |
| 5706 | 0, 0, 7, 4, 4, 0, 0, |
| 5707 | 0, 0, 3, 2, 4, 0, 0, |
| 5708 | 0, 0, 0, 0, 0, 0, 0, |
| 5709 | 0, 0, 0, 0, 0, 0, 0 |
| 5710 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5711 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5712 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5713 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5714 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5715 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5716 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5717 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5718 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5719 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5720 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5721 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5722 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5723 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5724 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5725 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5726 | descriptor.m_Parameters.m_PadList = PadList; |
| 5727 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5728 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5729 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5730 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5731 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5732 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5733 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5734 | inputHandle->Allocate(); |
| 5735 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5736 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5737 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5738 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5739 | workload->PostAllocationConfigure(); |
| 5740 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5741 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5742 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5743 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5744 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5745 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5746 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5747 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5748 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 5749 | armnn::IWorkloadFactory& workloadFactory, |
| 5750 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5751 | float qScale, |
| 5752 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5753 | { |
| 5754 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 5755 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 5756 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5757 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5758 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5759 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5760 | std::vector<T> inputValues( |
| 5761 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5762 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5763 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5764 | 0, 4, |
| 5765 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5766 | |
| 5767 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5768 | 6, 1, |
| 5769 | 5, 2 |
| 5770 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5771 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5772 | std::vector<T> expectedOutputValues( |
| 5773 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5774 | { |
| 5775 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5776 | 0, 0, 0, 0, 0, 0, |
| 5777 | 0, 0, 0, 0, 0, 0, |
| 5778 | 0, 0, 0, 4, 0, 0, |
| 5779 | 0, 0, 2, 5, 0, 0, |
| 5780 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5781 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5782 | 0, 0, 0, 0, 0, 0, |
| 5783 | 0, 0, 0, 0, 0, 0, |
| 5784 | 0, 0, 6, 1, 0, 0, |
| 5785 | 0, 0, 5, 2, 0, 0, |
| 5786 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5787 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5788 | 0, 0, 0, 0, 0, 0, |
| 5789 | 0, 0, 0, 0, 0, 0, |
| 5790 | 0, 0, 0, 0, 0, 0, |
| 5791 | 0, 0, 0, 0, 0, 0, |
| 5792 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5793 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5794 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5795 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5796 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5797 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5798 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5799 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5800 | |
| 5801 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5802 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5803 | |
| 5804 | armnn::PadQueueDescriptor descriptor; |
| 5805 | |
| 5806 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5807 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 5808 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5809 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5810 | |
| 5811 | descriptor.m_Parameters.m_PadList = PadList; |
| 5812 | armnn::WorkloadInfo info; |
| 5813 | |
| 5814 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5815 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5816 | |
| 5817 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5818 | |
| 5819 | inputHandle->Allocate(); |
| 5820 | outputHandle->Allocate(); |
| 5821 | |
| 5822 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 5823 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5824 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5825 | workload->Execute(); |
| 5826 | |
| 5827 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 5828 | |
| 5829 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5830 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5831 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5832 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5833 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 5834 | armnn::IWorkloadFactory& workloadFactory, |
| 5835 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5836 | float qScale, |
| 5837 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5838 | { |
| 5839 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 5840 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 5841 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5842 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5843 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5844 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5845 | std::vector<T> inputValues( |
| 5846 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5847 | { |
| 5848 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5849 | 0, 1, |
| 5850 | 2, 3, |
| 5851 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5852 | |
| 5853 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5854 | 6, 7, |
| 5855 | 8, 9, |
| 5856 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5857 | |
| 5858 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5859 | 12, 13, |
| 5860 | 14, 15, |
| 5861 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5862 | |
| 5863 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5864 | 18, 19, |
| 5865 | 20, 21, |
| 5866 | 22, 23 |
| 5867 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5868 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5869 | std::vector<T> expectedOutputValues( |
| 5870 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5871 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5872 | 0, 0, 0, 0, |
| 5873 | 0, 0, 0, 0, |
| 5874 | 0, 0, 0, 0, |
| 5875 | 0, 0, 0, 0, |
| 5876 | 0, 0, 0, 0, |
| 5877 | 0, 0, 0, 0, |
| 5878 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5879 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5880 | 0, 0, 0, 0, |
| 5881 | 0, 0, 0, 0, |
| 5882 | 0, 0, 0, 0, |
| 5883 | 0, 0, 0, 0, |
| 5884 | 0, 0, 0, 0, |
| 5885 | 0, 0, 0, 0, |
| 5886 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5887 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5888 | 0, 0, 0, 0, |
| 5889 | 0, 0, 0, 0, |
| 5890 | 0, 0, 0, 0, |
| 5891 | 0, 0, 0, 0, |
| 5892 | 0, 0, 0, 0, |
| 5893 | 0, 0, 0, 0, |
| 5894 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5895 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5896 | 0, 0, 0, 0, |
| 5897 | 0, 0, 0, 0, |
| 5898 | 0, 0, 0, 0, |
| 5899 | 0, 0, 0, 0, |
| 5900 | 0, 0, 0, 0, |
| 5901 | 0, 0, 0, 0, |
| 5902 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5903 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5904 | 0, 0, 0, 0, |
| 5905 | 0, 0, 0, 0, |
| 5906 | 0, 0, 0, 0, |
| 5907 | 0, 0, 0, 0, |
| 5908 | 0, 0, 0, 0, |
| 5909 | 0, 0, 0, 0, |
| 5910 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5911 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5912 | 0, 0, 0, 0, |
| 5913 | 0, 0, 0, 0, |
| 5914 | 0, 0, 0, 0, |
| 5915 | 0, 0, 0, 0, |
| 5916 | 0, 0, 0, 0, |
| 5917 | 0, 0, 0, 0, |
| 5918 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5919 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5920 | 0, 0, 0, 0, |
| 5921 | 0, 0, 0, 0, |
| 5922 | 0, 0, 0, 0, |
| 5923 | 0, 0, 0, 0, |
| 5924 | 0, 0, 0, 0, |
| 5925 | 0, 0, 0, 0, |
| 5926 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5927 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5928 | 0, 0, 0, 0, |
| 5929 | 0, 0, 0, 0, |
| 5930 | 0, 0, 0, 0, |
| 5931 | 0, 0, 1, 0, |
| 5932 | 0, 2, 3, 0, |
| 5933 | 0, 4, 5, 0, |
| 5934 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5935 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5936 | 0, 0, 0, 0, |
| 5937 | 0, 0, 0, 0, |
| 5938 | 0, 0, 0, 0, |
| 5939 | 0, 6, 7, 0, |
| 5940 | 0, 8, 9, 0, |
| 5941 | 0, 10, 11, 0, |
| 5942 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5943 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5944 | 0, 0, 0, 0, |
| 5945 | 0, 0, 0, 0, |
| 5946 | 0, 0, 0, 0, |
| 5947 | 0, 0, 0, 0, |
| 5948 | 0, 0, 0, 0, |
| 5949 | 0, 0, 0, 0, |
| 5950 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5951 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5952 | 0, 0, 0, 0, |
| 5953 | 0, 0, 0, 0, |
| 5954 | 0, 0, 0, 0, |
| 5955 | 0, 0, 0, 0, |
| 5956 | 0, 0, 0, 0, |
| 5957 | 0, 0, 0, 0, |
| 5958 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5959 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5960 | 0, 0, 0, 0, |
| 5961 | 0, 0, 0, 0, |
| 5962 | 0, 0, 0, 0, |
| 5963 | 0, 0, 0, 0, |
| 5964 | 0, 0, 0, 0, |
| 5965 | 0, 0, 0, 0, |
| 5966 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5967 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5968 | 0, 0, 0, 0, |
| 5969 | 0, 0, 0, 0, |
| 5970 | 0, 0, 0, 0, |
| 5971 | 0, 12, 13, 0, |
| 5972 | 0, 14, 15, 0, |
| 5973 | 0, 16, 17, 0, |
| 5974 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5975 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5976 | 0, 0, 0, 0, |
| 5977 | 0, 0, 0, 0, |
| 5978 | 0, 0, 0, 0, |
| 5979 | 0, 18, 19, 0, |
| 5980 | 0, 20, 21, 0, |
| 5981 | 0, 22, 23, 0, |
| 5982 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5983 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5984 | 0, 0, 0, 0, |
| 5985 | 0, 0, 0, 0, |
| 5986 | 0, 0, 0, 0, |
| 5987 | 0, 0, 0, 0, |
| 5988 | 0, 0, 0, 0, |
| 5989 | 0, 0, 0, 0, |
| 5990 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5991 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5992 | 0, 0, 0, 0, |
| 5993 | 0, 0, 0, 0, |
| 5994 | 0, 0, 0, 0, |
| 5995 | 0, 0, 0, 0, |
| 5996 | 0, 0, 0, 0, |
| 5997 | 0, 0, 0, 0, |
| 5998 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5999 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6000 | 0, 0, 0, 0, |
| 6001 | 0, 0, 0, 0, |
| 6002 | 0, 0, 0, 0, |
| 6003 | 0, 0, 0, 0, |
| 6004 | 0, 0, 0, 0, |
| 6005 | 0, 0, 0, 0, |
| 6006 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6007 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6008 | 0, 0, 0, 0, |
| 6009 | 0, 0, 0, 0, |
| 6010 | 0, 0, 0, 0, |
| 6011 | 0, 0, 0, 0, |
| 6012 | 0, 0, 0, 0, |
| 6013 | 0, 0, 0, 0, |
| 6014 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6015 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6016 | 0, 0, 0, 0, |
| 6017 | 0, 0, 0, 0, |
| 6018 | 0, 0, 0, 0, |
| 6019 | 0, 0, 0, 0, |
| 6020 | 0, 0, 0, 0, |
| 6021 | 0, 0, 0, 0, |
| 6022 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6023 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6024 | 0, 0, 0, 0, |
| 6025 | 0, 0, 0, 0, |
| 6026 | 0, 0, 0, 0, |
| 6027 | 0, 0, 0, 0, |
| 6028 | 0, 0, 0, 0, |
| 6029 | 0, 0, 0, 0, |
| 6030 | 0, 0, 0, 0 |
| 6031 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6032 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6033 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6034 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6035 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6036 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6037 | |
| 6038 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 6039 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6040 | |
| 6041 | armnn::PadQueueDescriptor descriptor; |
| 6042 | |
| 6043 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 6044 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6045 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 6046 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 6047 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 6048 | |
| 6049 | descriptor.m_Parameters.m_PadList = PadList; |
| 6050 | armnn::WorkloadInfo info; |
| 6051 | |
| 6052 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 6053 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6054 | |
| 6055 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6056 | |
| 6057 | inputHandle->Allocate(); |
| 6058 | outputHandle->Allocate(); |
| 6059 | |
| 6060 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6061 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6062 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6063 | workload->Execute(); |
| 6064 | |
| 6065 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6066 | |
| 6067 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6068 | } |
| 6069 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6070 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 6071 | armnn::IWorkloadFactory& workloadFactory, |
| 6072 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6073 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6074 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6075 | } |
| 6076 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6077 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 6078 | armnn::IWorkloadFactory& workloadFactory, |
| 6079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6080 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6081 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6082 | } |
| 6083 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6084 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 6085 | armnn::IWorkloadFactory& workloadFactory, |
| 6086 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6087 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6088 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6089 | } |
| 6090 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6091 | LayerTestResult<float, 2> PadFloat322dTest( |
| 6092 | armnn::IWorkloadFactory& workloadFactory, |
| 6093 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6094 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6095 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6096 | } |
| 6097 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6098 | LayerTestResult<float, 3> PadFloat323dTest( |
| 6099 | armnn::IWorkloadFactory& workloadFactory, |
| 6100 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6101 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6102 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6103 | } |
| 6104 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6105 | LayerTestResult<float, 4> PadFloat324dTest( |
| 6106 | armnn::IWorkloadFactory& workloadFactory, |
| 6107 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6108 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6109 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6110 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6111 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6112 | LayerTestResult<float, 4> L2Normalization1dTest( |
| 6113 | armnn::IWorkloadFactory& workloadFactory, |
| 6114 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6115 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6116 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6117 | // Width: 1 |
| 6118 | // Height: 1 |
| 6119 | // Channels: 10 |
| 6120 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6121 | unsigned int numberOfBatches = 1; |
| 6122 | unsigned int numberOfChannels = 10; |
| 6123 | unsigned int height = 1; |
| 6124 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6125 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6126 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6127 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6128 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6129 | std::vector<float> inputValues |
| 6130 | { |
| 6131 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6132 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6133 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6134 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 6135 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6136 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6137 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 6138 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6139 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6140 | // Batch 0, Channel 3, Height (1) x Width (1) |
| 6141 | 4.0f, |
| 6142 | |
| 6143 | // Batch 0, Channel 4, Height (1) x Width (1) |
| 6144 | 5.0f, |
| 6145 | |
| 6146 | // Batch 0, Channel 5, Height (1) x Width (1) |
| 6147 | 6.0f, |
| 6148 | |
| 6149 | // Batch 0, Channel 6, Height (1) x Width (1) |
| 6150 | 7.0f, |
| 6151 | |
| 6152 | // Batch 0, Channel 7, Height (1) x Width (1) |
| 6153 | 8.0f, |
| 6154 | |
| 6155 | // Batch 0, Channel 8, Height (1) x Width (1) |
| 6156 | 9.0f, |
| 6157 | |
| 6158 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 6159 | 10.0f |
| 6160 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6161 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6162 | std::vector<float> expectedOutputValues |
| 6163 | { |
| 6164 | // Batch 0, Channel 0, Height (1) x Width (1) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6165 | 1.0f * approxInvL2Norm, |
| 6166 | 2.0f * approxInvL2Norm, |
| 6167 | 3.0f * approxInvL2Norm, |
| 6168 | 4.0f * approxInvL2Norm, |
| 6169 | 5.0f * approxInvL2Norm, |
| 6170 | 6.0f * approxInvL2Norm, |
| 6171 | 7.0f * approxInvL2Norm, |
| 6172 | 8.0f * approxInvL2Norm, |
| 6173 | 9.0f * approxInvL2Norm, |
| 6174 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6175 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6176 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6177 | |
| 6178 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6179 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6180 | } |
| 6181 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6182 | LayerTestResult<float, 4> L2Normalization2dTest( |
| 6183 | armnn::IWorkloadFactory& workloadFactory, |
| 6184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6185 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6186 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6187 | // Width: 5 |
| 6188 | // Height: 1 |
| 6189 | // Channels: 2 |
| 6190 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6191 | unsigned int numberOfBatches = 1; |
| 6192 | unsigned int numberOfChannels = 2; |
| 6193 | unsigned int height = 1; |
| 6194 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6195 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6196 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6197 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6198 | std::vector<float> inputValues |
| 6199 | { |
| 6200 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6201 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6202 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6203 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 6204 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 6205 | }; |
| 6206 | std::vector<float> expectedOutputValues |
| 6207 | { |
| 6208 | // Batch 0, Channel 0, Height (1) x Width (5) |
| 6209 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6210 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6211 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6212 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6213 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
| 6214 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6215 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 6216 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6217 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6218 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6219 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6220 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6221 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6222 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6223 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6224 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6225 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6226 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6227 | LayerTestResult<float, 4> L2Normalization3dTest( |
| 6228 | armnn::IWorkloadFactory& workloadFactory, |
| 6229 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6230 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6231 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6232 | // Width: 3 |
| 6233 | // Height: 4 |
| 6234 | // Channels: 2 |
| 6235 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6236 | unsigned int numberOfBatches = 1; |
| 6237 | unsigned int numberOfChannels = 2; |
| 6238 | unsigned int height = 4; |
| 6239 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6240 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6241 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6242 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6243 | std::vector<float> inputValues |
| 6244 | { |
| 6245 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6246 | 119.0f, 21.0f, 150.0f, |
| 6247 | 149.0f, 32.0f, 179.0f, |
| 6248 | 15.0f, 227.0f, 141.0f, |
| 6249 | 147.0f, 199.0f, 220.0f, |
| 6250 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6251 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6252 | 110.0f, 140.0f, 73.0f, |
| 6253 | 211.0f, 212.0f, 89.0f, |
| 6254 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6255 | 162.0f, 12.0f, 161.0f |
| 6256 | }; |
| 6257 | std::vector<float> expectedOutputValues |
| 6258 | { |
| 6259 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6260 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6261 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 6262 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6263 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6264 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 6265 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6266 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 6267 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6268 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6269 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6270 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 6271 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 6272 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6273 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6274 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6275 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 6276 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6277 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6278 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 6279 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6280 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 6281 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6282 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6283 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6284 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6285 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 6286 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6287 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6288 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6289 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6290 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6291 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6292 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 6293 | armnn::IWorkloadFactory& workloadFactory, |
| 6294 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6295 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6296 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6297 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6298 | // Height: 4 |
| 6299 | // Channels: 3 |
| 6300 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6301 | unsigned int numberOfBatches = 2; |
| 6302 | unsigned int numberOfChannels = 3; |
| 6303 | unsigned int height = 4; |
| 6304 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6305 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6306 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6307 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6308 | std::vector<float> inputValues |
| 6309 | { |
| 6310 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6311 | 235.0f, 46.0f, 178.0f, |
| 6312 | 100.0f, 123.0f, 19.0f, |
| 6313 | 172.0f, 74.0f, 250.0f, |
| 6314 | 6.0f, 195.0f, 80.0f, |
| 6315 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6316 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6317 | 113.0f, 95.0f, 202.0f, |
| 6318 | 77.0f, 114.0f, 71.0f, |
| 6319 | 122.0f, 246.0f, 166.0f, |
| 6320 | 82.0f, 28.0f, 37.0f, |
| 6321 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6322 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6323 | 56.0f, 170.0f, 162.0f, |
| 6324 | 194.0f, 89.0f, 254.0f, |
| 6325 | 12.0f, 209.0f, 200.0f, |
| 6326 | 1.0f, 64.0f, 54.0f, |
| 6327 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6328 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6329 | 67.0f, 90.0f, 49.0f, |
| 6330 | 7.0f, 163.0f, 18.0f, |
| 6331 | 25.0f, 117.0f, 103.0f, |
| 6332 | 247.0f, 59.0f, 189.0f, |
| 6333 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6334 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6335 | 239.0f, 104.0f, 199.0f, |
| 6336 | 17.0f, 124.0f, 153.0f, |
| 6337 | 222.0f, 217.0f, 75.0f, |
| 6338 | 32.0f, 126.0f, 21.0f, |
| 6339 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6340 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6341 | 97.0f, 145.0f, 215.0f, |
| 6342 | 115.0f, 116.0f, 238.0f, |
| 6343 | 226.0f, 16.0f, 132.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6344 | 92.0f, 125.0f, 88.0f |
| 6345 | }; |
| 6346 | std::vector<float> expectedOutputValues |
| 6347 | { |
| 6348 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6349 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6350 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6351 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6352 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6353 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6354 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6355 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6356 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6357 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6358 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6359 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6360 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6361 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6362 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6363 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6364 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6365 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6366 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6367 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6368 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6369 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6370 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6371 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6372 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6373 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6374 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6375 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6376 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6377 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6378 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6379 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6380 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6381 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6382 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6383 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6384 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6385 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6386 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6387 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6388 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6389 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6390 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6391 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6392 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6393 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6394 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6395 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6396 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6397 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6398 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6399 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6400 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6401 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 6402 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6403 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6404 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6405 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6406 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6407 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6408 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6409 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6410 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6411 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6412 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6413 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6414 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6415 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 6416 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6417 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6418 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6419 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6420 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6421 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6422 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6423 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6424 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6425 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6426 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6427 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6428 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6429 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6430 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
| 6431 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6432 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6433 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6434 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6435 | } |
| 6436 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6437 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6438 | LayerTestResult<T, 4> ConstantTestImpl( |
| 6439 | armnn::IWorkloadFactory& workloadFactory, |
| 6440 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6441 | float qScale, |
| 6442 | int32_t qOffset) |
| 6443 | { |
| 6444 | constexpr unsigned int inputWidth = 3; |
| 6445 | constexpr unsigned int inputHeight = 4; |
| 6446 | constexpr unsigned int inputChannels = 3; |
| 6447 | constexpr unsigned int inputBatchSize = 2; |
| 6448 | |
| 6449 | constexpr unsigned int outputWidth = inputWidth; |
| 6450 | constexpr unsigned int outputHeight = inputHeight; |
| 6451 | constexpr unsigned int outputChannels = inputChannels; |
| 6452 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6453 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6454 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6455 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6456 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6457 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6458 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6459 | |
| 6460 | // Set quantization parameters if the requested type is a quantized type. |
| 6461 | if(armnn::IsQuantizedType<T>()) |
| 6462 | { |
| 6463 | inputTensorInfo.SetQuantizationScale(qScale); |
| 6464 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 6465 | outputTensorInfo.SetQuantizationScale(qScale); |
| 6466 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 6467 | } |
| 6468 | |
| 6469 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 6470 | QuantizedVector<T>(qScale, qOffset, { |
| 6471 | // Batch 0, Channel 0 |
| 6472 | 235.0f, 46.0f, 178.0f, |
| 6473 | 100.0f, 123.0f, 19.0f, |
| 6474 | 172.0f, 74.0f, 250.0f, |
| 6475 | 6.0f, 195.0f, 80.0f, |
| 6476 | |
| 6477 | // Batch 0, Channel 1 |
| 6478 | 113.0f, 95.0f, 202.0f, |
| 6479 | 77.0f, 114.0f, 71.0f, |
| 6480 | 122.0f, 246.0f, 166.0f, |
| 6481 | 82.0f, 28.0f, 37.0f, |
| 6482 | |
| 6483 | // Batch 0, Channel 2 |
| 6484 | 56.0f, 170.0f, 162.0f, |
| 6485 | 194.0f, 89.0f, 254.0f, |
| 6486 | 12.0f, 209.0f, 200.0f, |
| 6487 | 1.0f, 64.0f, 54.0f, |
| 6488 | |
| 6489 | // Batch 1, Channel 0 |
| 6490 | 67.0f, 90.0f, 49.0f, |
| 6491 | 7.0f, 163.0f, 18.0f, |
| 6492 | 25.0f, 117.0f, 103.0f, |
| 6493 | 247.0f, 59.0f, 189.0f, |
| 6494 | |
| 6495 | // Batch 1, Channel 1 |
| 6496 | 239.0f, 104.0f, 199.0f, |
| 6497 | 17.0f, 124.0f, 153.0f, |
| 6498 | 222.0f, 217.0f, 75.0f, |
| 6499 | 32.0f, 126.0f, 21.0f, |
| 6500 | |
| 6501 | // Batch 1, Channel 2 |
| 6502 | 97.0f, 145.0f, 215.0f, |
| 6503 | 115.0f, 116.0f, 238.0f, |
| 6504 | 226.0f, 16.0f, 132.0f, |
| 6505 | 92.0f, 125.0f, 88.0f, |
| 6506 | }))); |
| 6507 | |
| 6508 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6509 | result.outputExpected = input; |
| 6510 | |
| 6511 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6512 | |
| 6513 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 6514 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 6515 | |
| 6516 | armnn::ConstantQueueDescriptor descriptor; |
| 6517 | descriptor.m_LayerOutput = &constantTensor; |
| 6518 | |
| 6519 | armnn::WorkloadInfo info; |
| 6520 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6521 | |
| 6522 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 6523 | |
| 6524 | outputHandle->Allocate(); |
| 6525 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6526 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6527 | workload->Execute(); |
| 6528 | |
| 6529 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6530 | return result; |
| 6531 | } |
| 6532 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6533 | LayerTestResult<float, 4> ConstantTest( |
| 6534 | armnn::IWorkloadFactory& workloadFactory, |
| 6535 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6536 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6537 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6538 | } |
| 6539 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6540 | LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest( |
| 6541 | armnn::IWorkloadFactory& workloadFactory, |
| 6542 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6543 | { |
| 6544 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 6545 | } |
| 6546 | |
| 6547 | LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6548 | armnn::IWorkloadFactory& workloadFactory, |
| 6549 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6550 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6551 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6552 | } |
| 6553 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6554 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6555 | armnn::IWorkloadFactory& workloadFactory, |
| 6556 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6557 | { |
| 6558 | unsigned int outputWidth = 3; |
| 6559 | unsigned int outputHeight = 6; |
| 6560 | unsigned int outputChannels = 3; |
| 6561 | |
| 6562 | unsigned int inputWidth1 = 3; |
| 6563 | unsigned int inputHeight1 = 6; |
| 6564 | unsigned int inputChannels1 = 2; |
| 6565 | |
| 6566 | unsigned int inputWidth2 = 3; |
| 6567 | unsigned int inputHeight2 = 6; |
| 6568 | unsigned int inputChannels2 = 1; |
| 6569 | |
| 6570 | // Defines the tensor descriptors. |
| 6571 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6572 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6573 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 6574 | |
| 6575 | // Quantized input1 tensor. Range [-3, 1] |
| 6576 | const float inputScale1 = 0.015686f; |
| 6577 | const int32_t inputOffset1 = 192; |
| 6578 | |
| 6579 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6580 | { |
| 6581 | 1, 2, 3, |
| 6582 | 4, 5, 6, |
| 6583 | 7, 8, 9, |
| 6584 | 10, 11, 12, |
| 6585 | 13, 14, 15, |
| 6586 | 16, 17, 18, |
| 6587 | |
| 6588 | 19, 20, 21, |
| 6589 | 22, 23, 24, |
| 6590 | 25, 26, 27, |
| 6591 | 28, 29, 30, |
| 6592 | 31, 32, 33, |
| 6593 | 34, 35, 36, |
| 6594 | }) |
| 6595 | ); |
| 6596 | |
| 6597 | // Quatized input2 tensor. Range [-1, 4] |
| 6598 | const float inputScale2 = 0.019608f; |
| 6599 | const int32_t inputOffset2 = 50; |
| 6600 | |
| 6601 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6602 | { |
| 6603 | 37, 38, 39, |
| 6604 | 40, 41, 42, |
| 6605 | 43, 44, 45, |
| 6606 | 46, 47, 48, |
| 6607 | 49, 50, 51, |
| 6608 | 52, 53, 54, |
| 6609 | }) |
| 6610 | ); |
| 6611 | |
| 6612 | // Output has the same quantization parameters than input1, |
| 6613 | // so that only the requantization of input2 is required |
| 6614 | const float outputScale = 0.015686f; |
| 6615 | const int32_t outputOffset = 192; |
| 6616 | |
| 6617 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6618 | |
| 6619 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 6620 | { |
| 6621 | 1, 2, 3, |
| 6622 | 4, 5, 6, |
| 6623 | 7, 8, 9, |
| 6624 | 10, 11, 12, |
| 6625 | 13, 14, 15, |
| 6626 | 16, 17, 18, |
| 6627 | |
| 6628 | 19, 20, 21, |
| 6629 | 22, 23, 24, |
| 6630 | 25, 26, 27, |
| 6631 | 28, 29, 30, |
| 6632 | 31, 32, 33, |
| 6633 | 34, 35, 36, |
| 6634 | |
| 6635 | 176, 177, 178, |
| 6636 | 179, 181, 182, |
| 6637 | 183, 184, 186, |
| 6638 | 187, 188, 189, |
| 6639 | 191, 192, 193, |
| 6640 | 195, 196, 197, |
| 6641 | }) |
| 6642 | ); |
| 6643 | |
| 6644 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 6645 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 6646 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 6647 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 6648 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 6649 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 6650 | |
| 6651 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6652 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6653 | |
| 6654 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6655 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6656 | |
| 6657 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6658 | |
| 6659 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6660 | |
| 6661 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6662 | subTensorsSupported ? |
| 6663 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6664 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6665 | |
| 6666 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6667 | subTensorsSupported ? |
| 6668 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6669 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6670 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6671 | armnn::ConcatQueueDescriptor data; |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6672 | armnn::WorkloadInfo info; |
| 6673 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6674 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6675 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6676 | |
| 6677 | data.m_ViewOrigins.push_back(window1); |
| 6678 | data.m_ViewOrigins.push_back(window2); |
| 6679 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6680 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6681 | |
| 6682 | inputHandle1->Allocate(); |
| 6683 | inputHandle2->Allocate(); |
| 6684 | outputHandle->Allocate(); |
| 6685 | |
| 6686 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6687 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6688 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6689 | workload->PostAllocationConfigure(); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6690 | workload->Execute(); |
| 6691 | |
| 6692 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6693 | |
| 6694 | return ret; |
| 6695 | } |
| 6696 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6697 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6698 | armnn::IWorkloadFactory& workloadFactory, |
| 6699 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6700 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6701 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6702 | unsigned int outputHeight = 6; |
| 6703 | unsigned int outputChannels = 3; |
| 6704 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6705 | unsigned int inputWidth1 = 3; |
| 6706 | unsigned int inputHeight1 = 6; |
| 6707 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6708 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6709 | unsigned int inputWidth2 = 3; |
| 6710 | unsigned int inputHeight2 = 6; |
| 6711 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6712 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6713 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6714 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6715 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6716 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6717 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6718 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6719 | const float scale = 0.13497836f; |
| 6720 | const int32_t offset = -7; |
| 6721 | |
| 6722 | outputTensorInfo.SetQuantizationScale(scale); |
| 6723 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6724 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6725 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6726 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6727 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6728 | |
| 6729 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6730 | |
| 6731 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6732 | { |
| 6733 | 1, 2, 3, |
| 6734 | 4, 5, 6, |
| 6735 | 7, 8, 9, |
| 6736 | 10, 11, 12, |
| 6737 | 13, 14, 15, |
| 6738 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6739 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6740 | 19, 20, 21, |
| 6741 | 22, 23, 24, |
| 6742 | 25, 26, 27, |
| 6743 | 28, 29, 30, |
| 6744 | 31, 32, 33, |
| 6745 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6746 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6747 | 37, 38, 39, |
| 6748 | 40, 41, 42, |
| 6749 | 43, 44, 45, |
| 6750 | 46, 47, 48, |
| 6751 | 49, 50, 51, |
| 6752 | 52, 53, 54, |
| 6753 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6754 | ); |
| 6755 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6756 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6757 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6758 | 1, 2, 3, |
| 6759 | 4, 5, 6, |
| 6760 | 7, 8, 9, |
| 6761 | 10, 11, 12, |
| 6762 | 13, 14, 15, |
| 6763 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6764 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6765 | 19, 20, 21, |
| 6766 | 22, 23, 24, |
| 6767 | 25, 26, 27, |
| 6768 | 28, 29, 30, |
| 6769 | 31, 32, 33, |
| 6770 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6771 | }) |
| 6772 | ); |
| 6773 | |
| 6774 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6775 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6776 | 37, 38, 39, |
| 6777 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6778 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6779 | 46, 47, 48, |
| 6780 | 49, 50, 51, |
| 6781 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6782 | }) |
| 6783 | ); |
| 6784 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6785 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6786 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6787 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6788 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6789 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6790 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6791 | |
| 6792 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6793 | |
| 6794 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6795 | |
| 6796 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6797 | subTensorsSupported ? |
| 6798 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6799 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6800 | |
| 6801 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6802 | subTensorsSupported ? |
| 6803 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6804 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6805 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6806 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6807 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6808 | armnn::WorkloadInfo info; |
| 6809 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6810 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6811 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6812 | |
| 6813 | data.m_ViewOrigins.push_back(window1); |
| 6814 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6815 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6816 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6817 | |
| 6818 | inputHandle1->Allocate(); |
| 6819 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6820 | outputHandle->Allocate(); |
| 6821 | |
| 6822 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6823 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6824 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6825 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6826 | workload->Execute(); |
| 6827 | |
| 6828 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6829 | |
| 6830 | return ret; |
| 6831 | } |
| 6832 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6833 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6834 | armnn::IWorkloadFactory& workloadFactory, |
| 6835 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6836 | { |
| 6837 | unsigned int outputWidth = 3; |
| 6838 | unsigned int outputHeight = 6; |
| 6839 | unsigned int outputChannels = 3; |
| 6840 | |
| 6841 | unsigned int inputWidth1 = 3; |
| 6842 | unsigned int inputHeight1 = 6; |
| 6843 | unsigned int inputChannels1 = 2; |
| 6844 | |
| 6845 | unsigned int inputWidth2 = 3; |
| 6846 | unsigned int inputHeight2 = 6; |
| 6847 | unsigned int inputChannels2 = 1; |
| 6848 | |
| 6849 | // Defines the tensor descriptors. |
| 6850 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedSymm16); |
| 6851 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedSymm16); |
| 6852 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedSymm16); |
| 6853 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6854 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6855 | const float scale = 0.13497836f; |
| 6856 | const int32_t offset = -7; |
| 6857 | |
| 6858 | outputTensorInfo.SetQuantizationScale(scale); |
| 6859 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6860 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6861 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6862 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6863 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 6864 | |
| 6865 | LayerTestResult<uint16_t, 3> ret(outputTensorInfo); |
| 6866 | |
| 6867 | ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>( |
| 6868 | { |
| 6869 | 1, 2, 3, |
| 6870 | 4, 5, 6, |
| 6871 | 7, 8, 9, |
| 6872 | 10, 11, 12, |
| 6873 | 13, 14, 15, |
| 6874 | 16, 17, 18, |
| 6875 | |
| 6876 | 19, 20, 21, |
| 6877 | 22, 23, 24, |
| 6878 | 25, 26, 27, |
| 6879 | 28, 29, 30, |
| 6880 | 31, 32, 33, |
| 6881 | 34, 35, 36, |
| 6882 | |
| 6883 | 37, 38, 39, |
| 6884 | 40, 41, 42, |
| 6885 | 43, 44, 45, |
| 6886 | 46, 47, 48, |
| 6887 | 49, 50, 51, |
| 6888 | 52, 53, 54, |
| 6889 | })); |
| 6890 | |
| 6891 | auto input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>( |
| 6892 | { |
| 6893 | 1, 2, 3, |
| 6894 | 4, 5, 6, |
| 6895 | 7, 8, 9, |
| 6896 | 10, 11, 12, |
| 6897 | 13, 14, 15, |
| 6898 | 16, 17, 18, |
| 6899 | |
| 6900 | 19, 20, 21, |
| 6901 | 22, 23, 24, |
| 6902 | 25, 26, 27, |
| 6903 | 28, 29, 30, |
| 6904 | 31, 32, 33, |
| 6905 | 34, 35, 36, |
| 6906 | })); |
| 6907 | |
| 6908 | auto input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>( |
| 6909 | { |
| 6910 | 37, 38, 39, |
| 6911 | 40, 41, 42, |
| 6912 | 43, 44, 45, |
| 6913 | 46, 47, 48, |
| 6914 | 49, 50, 51, |
| 6915 | 52, 53, 54, |
| 6916 | })); |
| 6917 | |
| 6918 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6919 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6920 | |
| 6921 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6922 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6923 | |
| 6924 | |
| 6925 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6926 | |
| 6927 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6928 | |
| 6929 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6930 | subTensorsSupported ? |
| 6931 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6932 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6933 | |
| 6934 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6935 | subTensorsSupported ? |
| 6936 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6937 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6938 | |
| 6939 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6940 | armnn::ConcatQueueDescriptor data; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6941 | armnn::WorkloadInfo info; |
| 6942 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6943 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6944 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6945 | |
| 6946 | data.m_ViewOrigins.push_back(window1); |
| 6947 | data.m_ViewOrigins.push_back(window2); |
| 6948 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6949 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6950 | |
| 6951 | inputHandle1->Allocate(); |
| 6952 | inputHandle2->Allocate(); |
| 6953 | outputHandle->Allocate(); |
| 6954 | |
| 6955 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6956 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6957 | |
| 6958 | workload->PostAllocationConfigure(); |
| 6959 | workload->Execute(); |
| 6960 | |
| 6961 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6962 | |
| 6963 | return ret; |
| 6964 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6965 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6966 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6967 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6968 | template <typename T> |
| 6969 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6970 | armnn::IWorkloadFactory& workloadFactory, |
| 6971 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6972 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6973 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6974 | float scale0, |
| 6975 | int32_t offset0, |
| 6976 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6977 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6978 | float scale1, |
| 6979 | int32_t offset1, |
| 6980 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6981 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6982 | float outScale, |
| 6983 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6984 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6985 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 6986 | armnn::DataType::QuantisedAsymm8 : |
| 6987 | armnn::DataType::QuantisedSymm16); |
| 6988 | |
| 6989 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 6990 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 6991 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6992 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6993 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 6994 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6995 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6996 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 6997 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6998 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6999 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7000 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7001 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7002 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7003 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7004 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7005 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7006 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7007 | |
| 7008 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7009 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7010 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7011 | |
| 7012 | armnn::AdditionQueueDescriptor data; |
| 7013 | armnn::WorkloadInfo info; |
| 7014 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7015 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7016 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7017 | |
| 7018 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 7019 | |
| 7020 | inputHandle0->Allocate(); |
| 7021 | inputHandle1->Allocate(); |
| 7022 | outputHandle->Allocate(); |
| 7023 | |
| 7024 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7025 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7026 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7027 | workload->PostAllocationConfigure(); |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7028 | workload->Execute(); |
| 7029 | |
| 7030 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7031 | |
| 7032 | return result; |
| 7033 | } |
| 7034 | } // anonymous namespace |
| 7035 | |
| 7036 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 7037 | armnn::IWorkloadFactory& workloadFactory, |
| 7038 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7039 | { |
| 7040 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7041 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7042 | |
| 7043 | std::vector<uint8_t> input0( |
| 7044 | { |
| 7045 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 7046 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 7047 | }); |
| 7048 | |
| 7049 | std::vector<uint8_t> input1( |
| 7050 | { |
| 7051 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7052 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7053 | }); |
| 7054 | |
| 7055 | std::vector<uint8_t> output( |
| 7056 | { |
| 7057 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 7058 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 7059 | }); |
| 7060 | |
| 7061 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7062 | memoryManager, |
| 7063 | shape0, input0, 7.0f, 3, |
| 7064 | shape1, input1, 7.0f, 3, |
| 7065 | shape0, output, 7.0f, 3); |
| 7066 | } |
| 7067 | |
| 7068 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 7069 | armnn::IWorkloadFactory& workloadFactory, |
| 7070 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7071 | { |
| 7072 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7073 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7074 | |
| 7075 | std::vector<int16_t> input0( |
| 7076 | { |
| 7077 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 7078 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 7079 | }); |
| 7080 | |
| 7081 | std::vector<int16_t> input1( |
| 7082 | { |
| 7083 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7084 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7085 | }); |
| 7086 | |
| 7087 | std::vector<int16_t> output( |
| 7088 | { |
| 7089 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 7090 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 7091 | }); |
| 7092 | |
| 7093 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7094 | memoryManager, |
| 7095 | shape0, input0, 7.0f, 0, |
| 7096 | shape1, input1, 7.0f, 0, |
| 7097 | shape0, output, 7.0f, 0); |
| 7098 | } |
| 7099 | |
| 7100 | namespace |
| 7101 | { |
| 7102 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7103 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 7104 | armnn::IWorkloadFactory& workloadFactory, |
| 7105 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7106 | const unsigned int shape0[4], |
| 7107 | const std::vector<T> & values0, |
| 7108 | float scale0, |
| 7109 | int32_t offset0, |
| 7110 | const unsigned int shape1[4], |
| 7111 | const std::vector<T> & values1, |
| 7112 | float scale1, |
| 7113 | int32_t offset1, |
| 7114 | const unsigned int outShape[4], |
| 7115 | const std::vector<T> & outValues, |
| 7116 | float outScale, |
| 7117 | int32_t outOffset) |
| 7118 | { |
| 7119 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7120 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7121 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 7122 | |
| 7123 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7124 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7125 | |
| 7126 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7127 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7128 | |
| 7129 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7130 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7131 | |
| 7132 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7133 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7134 | |
| 7135 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7136 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7137 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7138 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7139 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7140 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7141 | |
| 7142 | armnn::MultiplicationQueueDescriptor data; |
| 7143 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7144 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7145 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7146 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7147 | |
| 7148 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 7149 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7150 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7151 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7152 | outputHandle->Allocate(); |
| 7153 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7154 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7155 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7156 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7157 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7158 | workload->Execute(); |
| 7159 | |
| 7160 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7161 | |
| 7162 | return result; |
| 7163 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7164 | } // anonymous namespace |
| 7165 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7166 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 7167 | armnn::IWorkloadFactory& workloadFactory, |
| 7168 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7169 | { |
| 7170 | unsigned int batchSize = 1; |
| 7171 | unsigned int channels = 2; |
| 7172 | unsigned int height = 2; |
| 7173 | unsigned int width = 3; |
| 7174 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 7175 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7176 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7177 | std::vector<uint8_t> input0({ |
| 7178 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 7179 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 7180 | }); |
| 7181 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7182 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7183 | std::vector<uint8_t> input1({ |
| 7184 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 7185 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 7186 | }); |
| 7187 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7188 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7189 | std::vector<uint8_t> output( |
| 7190 | { |
| 7191 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 7192 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 7193 | }); |
| 7194 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7195 | // Scale/offset chosen to have output values out of range. |
| 7196 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7197 | memoryManager, |
| 7198 | shape, |
| 7199 | input0, |
| 7200 | 4.0f, |
| 7201 | 1, |
| 7202 | shape, |
| 7203 | input1, |
| 7204 | 3.0f, |
| 7205 | -2, |
| 7206 | shape, |
| 7207 | output, |
| 7208 | 1366.255f, |
| 7209 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7210 | } |
| 7211 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7212 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 7213 | armnn::IWorkloadFactory& workloadFactory, |
| 7214 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7215 | { |
| 7216 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7217 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7218 | |
| 7219 | std::vector<uint8_t> input0({ |
| 7220 | 1, 2, 3, 4, 5, 6, |
| 7221 | 7, 8, 9, 10, 11, 12 |
| 7222 | }); |
| 7223 | |
| 7224 | std::vector<uint8_t> input1({2}); |
| 7225 | |
| 7226 | std::vector<uint8_t> output({ |
| 7227 | 2, 4, 6, 8, 10, 12, |
| 7228 | 14, 16, 18, 20, 22, 24 |
| 7229 | }); |
| 7230 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7231 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7232 | memoryManager, |
| 7233 | shape0, |
| 7234 | input0, |
| 7235 | 1.0f, |
| 7236 | 0, |
| 7237 | shape1, |
| 7238 | input1, |
| 7239 | 1.0f, |
| 7240 | 0, |
| 7241 | shape0, |
| 7242 | output, |
| 7243 | 1.0f, |
| 7244 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7245 | } |
| 7246 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7247 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 7248 | armnn::IWorkloadFactory& workloadFactory, |
| 7249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7250 | { |
| 7251 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7252 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7253 | |
| 7254 | std::vector<uint8_t> input0({ |
| 7255 | 1, 2, 3, 4, 5, 6, |
| 7256 | 7, 8, 9, 10, 11, 12 |
| 7257 | }); |
| 7258 | |
| 7259 | std::vector<uint8_t> input1({1, 2, 3}); |
| 7260 | |
| 7261 | std::vector<uint8_t> output({ |
| 7262 | 1, 4, 9, 4, 10, 18, |
| 7263 | 7, 16, 27, 10, 22, 36 |
| 7264 | }); |
| 7265 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7266 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7267 | memoryManager, |
| 7268 | shape0, |
| 7269 | input0, |
| 7270 | 1.0f, |
| 7271 | 0, |
| 7272 | shape1, |
| 7273 | input1, |
| 7274 | 1.0f, |
| 7275 | 0, |
| 7276 | shape0, |
| 7277 | output, |
| 7278 | 1.0f, |
| 7279 | 0); |
| 7280 | } |
| 7281 | |
| 7282 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 7283 | armnn::IWorkloadFactory& workloadFactory, |
| 7284 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7285 | { |
| 7286 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 7287 | |
| 7288 | std::vector<int16_t> input0( |
| 7289 | { |
| 7290 | 6, 7, 8, 9, 10, 11, |
| 7291 | 12, 13, 14, 15, 16, 17 |
| 7292 | }); |
| 7293 | |
| 7294 | std::vector<int16_t> input1( |
| 7295 | { |
| 7296 | 1, 2, 3, 4, 5, 6, |
| 7297 | 7, 8, 9, 10, 11, 12 |
| 7298 | }); |
| 7299 | |
| 7300 | std::vector<int16_t> output( |
| 7301 | { |
| 7302 | 6, 14, 24, 36, 50, 66, |
| 7303 | 84, 104, 126, 150, 176, 204 |
| 7304 | }); |
| 7305 | |
| 7306 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7307 | memoryManager, |
| 7308 | shape, |
| 7309 | input0, |
| 7310 | 1.0f, |
| 7311 | 0, |
| 7312 | shape, |
| 7313 | input1, |
| 7314 | 1.0f, |
| 7315 | 0, |
| 7316 | shape, |
| 7317 | output, |
| 7318 | 1.0f, |
| 7319 | 0); |
| 7320 | } |
| 7321 | |
| 7322 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 7323 | armnn::IWorkloadFactory& workloadFactory, |
| 7324 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7325 | { |
| 7326 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7327 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7328 | |
| 7329 | std::vector<int16_t> input0( |
| 7330 | { |
| 7331 | 1, 2, 3, 4, 5, 6, |
| 7332 | 7, 8, 9, 10, 11, 12 |
| 7333 | }); |
| 7334 | |
| 7335 | std::vector<int16_t> input1({2}); |
| 7336 | |
| 7337 | std::vector<int16_t> output( |
| 7338 | { |
| 7339 | 2, 4, 6, 8, 10, 12, |
| 7340 | 14, 16, 18, 20, 22, 24 |
| 7341 | }); |
| 7342 | |
| 7343 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7344 | memoryManager, |
| 7345 | shape0, |
| 7346 | input0, |
| 7347 | 1.0f, |
| 7348 | 0, |
| 7349 | shape1, |
| 7350 | input1, |
| 7351 | 1.0f, |
| 7352 | 0, |
| 7353 | shape0, |
| 7354 | output, |
| 7355 | 1.0f, |
| 7356 | 0); |
| 7357 | } |
| 7358 | |
| 7359 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 7360 | armnn::IWorkloadFactory& workloadFactory, |
| 7361 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7362 | { |
| 7363 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7364 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7365 | |
| 7366 | std::vector<int16_t> input0( |
| 7367 | { |
| 7368 | 1, 2, 3, 4, 5, 6, |
| 7369 | 7, 8, 9, 10, 11, 12 |
| 7370 | }); |
| 7371 | |
| 7372 | std::vector<int16_t> input1({1, 2, 3}); |
| 7373 | |
| 7374 | std::vector<int16_t> output( |
| 7375 | { |
| 7376 | 1, 4, 9, 4, 10, 18, |
| 7377 | 7, 16, 27, 10, 22, 36 |
| 7378 | }); |
| 7379 | |
| 7380 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7381 | memoryManager, |
| 7382 | shape0, |
| 7383 | input0, |
| 7384 | 1.0f, |
| 7385 | 0, |
| 7386 | shape1, |
| 7387 | input1, |
| 7388 | 1.0f, |
| 7389 | 0, |
| 7390 | shape0, |
| 7391 | output, |
| 7392 | 1.0f, |
| 7393 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7394 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7395 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7396 | namespace |
| 7397 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7398 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7399 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 7400 | armnn::IWorkloadFactory& workloadFactory, |
| 7401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7402 | const unsigned int shape0[4], |
| 7403 | const std::vector<T>& values0, |
| 7404 | float scale0, |
| 7405 | int32_t offset0, |
| 7406 | const unsigned int shape1[4], |
| 7407 | const std::vector<T> & values1, |
| 7408 | float scale1, |
| 7409 | int32_t offset1, |
| 7410 | const unsigned int outShape[4], |
| 7411 | const std::vector<T> & outValues, |
| 7412 | float outScale, |
| 7413 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7414 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7415 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7416 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7417 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7418 | |
| 7419 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7420 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7421 | |
| 7422 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7423 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7424 | |
| 7425 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7426 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7427 | |
| 7428 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7429 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7430 | |
| 7431 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7432 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7433 | |
| 7434 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7435 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7436 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7437 | |
| 7438 | armnn::SubtractionQueueDescriptor data; |
| 7439 | armnn::WorkloadInfo info; |
| 7440 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7441 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7442 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7443 | |
| 7444 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 7445 | |
| 7446 | inputHandle0->Allocate(); |
| 7447 | inputHandle1->Allocate(); |
| 7448 | outputHandle->Allocate(); |
| 7449 | |
| 7450 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7451 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7452 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7453 | workload->PostAllocationConfigure(); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7454 | workload->Execute(); |
| 7455 | |
| 7456 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7457 | |
| 7458 | return result; |
| 7459 | } |
| 7460 | } // anonymous namespace |
| 7461 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7462 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 7463 | armnn::IWorkloadFactory& workloadFactory, |
| 7464 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7465 | { |
| 7466 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7467 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7468 | |
| 7469 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7470 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 7471 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 7472 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7473 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7474 | memoryManager, |
| 7475 | shape0, input0, 0.5f, 2, |
| 7476 | shape1, input1, 1.0f, 0, |
| 7477 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7478 | } |
| 7479 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7480 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 7481 | armnn::IWorkloadFactory& workloadFactory, |
| 7482 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7483 | { |
| 7484 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7485 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7486 | |
| 7487 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7488 | std::vector<uint8_t> input1({ 2 }); |
| 7489 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 7490 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7491 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7492 | memoryManager, |
| 7493 | shape0, input0, 0.5f, 2, |
| 7494 | shape1, input1, 1.0f, 0, |
| 7495 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7496 | } |
| 7497 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7498 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 7499 | armnn::IWorkloadFactory& workloadFactory, |
| 7500 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7501 | { |
| 7502 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7503 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7504 | |
| 7505 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7506 | std::vector<uint8_t> input1({ 2, 1 }); |
| 7507 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 7508 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7509 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7510 | memoryManager, |
| 7511 | shape0, input0, 1.0f, 0, |
| 7512 | shape1, input1, 1.0f, 0, |
| 7513 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7514 | } |
| 7515 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7516 | LayerTestResult<float, 4> SubtractionTest( |
| 7517 | armnn::IWorkloadFactory& workloadFactory, |
| 7518 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7519 | { |
| 7520 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7521 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7522 | |
| 7523 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7524 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 7525 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 7526 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7527 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7528 | memoryManager, |
| 7529 | shape0, input0, 1.0f, 0, |
| 7530 | shape1, input1, 1.0f, 0, |
| 7531 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7532 | } |
| 7533 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7534 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 7535 | armnn::IWorkloadFactory& workloadFactory, |
| 7536 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7537 | { |
| 7538 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7539 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7540 | |
| 7541 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7542 | std::vector<float> input1({ 10 }); |
| 7543 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 7544 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7545 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7546 | memoryManager, |
| 7547 | shape0, input0, 1.0f, 0, |
| 7548 | shape1, input1, 1.0f, 0, |
| 7549 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7550 | } |
| 7551 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7552 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 7553 | armnn::IWorkloadFactory& workloadFactory, |
| 7554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7555 | { |
| 7556 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7557 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 7558 | |
| 7559 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7560 | std::vector<float> input1({ 10, -5 }); |
| 7561 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 7562 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7563 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7564 | memoryManager, |
| 7565 | shape0, input0, 1.0f, 0, |
| 7566 | shape1, input1, 1.0f, 0, |
| 7567 | shape0, output, 1.0f, 0); |
| 7568 | } |
| 7569 | |
| 7570 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 7571 | armnn::IWorkloadFactory& workloadFactory, |
| 7572 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7573 | { |
| 7574 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7575 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7576 | |
| 7577 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7578 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 7579 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 7580 | |
| 7581 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7582 | memoryManager, |
| 7583 | shape0, input0, 0.5f, 0, |
| 7584 | shape1, input1, 1.0f, 0, |
| 7585 | shape0, output, 1.0f, 0); |
| 7586 | } |
| 7587 | |
| 7588 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 7589 | armnn::IWorkloadFactory& workloadFactory, |
| 7590 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7591 | { |
| 7592 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7593 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7594 | |
| 7595 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7596 | std::vector<int16_t> input1({ 2 }); |
| 7597 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 7598 | |
| 7599 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7600 | memoryManager, |
| 7601 | shape0, input0, 0.5f, 0, |
| 7602 | shape1, input1, 1.0f, 0, |
| 7603 | shape0, output, 1.0f, 0); |
| 7604 | } |
| 7605 | |
| 7606 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 7607 | armnn::IWorkloadFactory& workloadFactory, |
| 7608 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7609 | { |
| 7610 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7611 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7612 | |
| 7613 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7614 | std::vector<int16_t> input1({ 2, 1 }); |
| 7615 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 7616 | |
| 7617 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7618 | memoryManager, |
| 7619 | shape0, input0, 1.0f, 0, |
| 7620 | shape1, input1, 1.0f, 0, |
| 7621 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7622 | } |
| 7623 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7624 | LayerTestResult<uint8_t, 4> ResizeBilinearNopUint8Test( |
| 7625 | armnn::IWorkloadFactory& workloadFactory, |
| 7626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7627 | { |
| 7628 | constexpr unsigned int inputWidth = 4; |
| 7629 | constexpr unsigned int inputHeight = 4; |
| 7630 | constexpr unsigned int inputChannels = 1; |
| 7631 | constexpr unsigned int inputBatchSize = 1; |
| 7632 | |
| 7633 | constexpr unsigned int outputWidth = inputWidth; |
| 7634 | constexpr unsigned int outputHeight = inputHeight; |
| 7635 | constexpr unsigned int outputChannels = inputChannels; |
| 7636 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7637 | |
| 7638 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7639 | armnn::DataType::QuantisedAsymm8); |
| 7640 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 7641 | inputTensorInfo.SetQuantizationOffset(-3); |
| 7642 | |
| 7643 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7644 | armnn::DataType::QuantisedAsymm8); |
| 7645 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 7646 | outputTensorInfo.SetQuantizationOffset(-3); |
| 7647 | |
| 7648 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7649 | 1, 2, 3, 4, |
| 7650 | 2, 3, 4, 5, |
| 7651 | 3, 4, 5, 6, |
| 7652 | 4, 5, 6, 7 |
| 7653 | })); |
| 7654 | |
| 7655 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7656 | result.outputExpected = input; |
| 7657 | |
| 7658 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7659 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7660 | |
| 7661 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7662 | armnn::WorkloadInfo info; |
| 7663 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7664 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7665 | |
| 7666 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7667 | |
| 7668 | inputHandle->Allocate(); |
| 7669 | outputHandle->Allocate(); |
| 7670 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7671 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7672 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7673 | workload->Execute(); |
| 7674 | |
| 7675 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7676 | return result; |
| 7677 | } |
| 7678 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7679 | LayerTestResult<uint8_t, 4> SimpleResizeBilinearUint8Test( |
| 7680 | armnn::IWorkloadFactory& workloadFactory, |
| 7681 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7682 | { |
| 7683 | constexpr unsigned int inputWidth = 2; |
| 7684 | constexpr unsigned int inputHeight = 2; |
| 7685 | constexpr unsigned int inputChannels = 1; |
| 7686 | constexpr unsigned int inputBatchSize = 1; |
| 7687 | |
| 7688 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 7689 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 7690 | constexpr unsigned int outputChannels = inputChannels; |
| 7691 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7692 | |
| 7693 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7694 | armnn::DataType::QuantisedAsymm8); |
| 7695 | inputTensorInfo.SetQuantizationScale(0.1567f); |
| 7696 | inputTensorInfo.SetQuantizationOffset(1); |
| 7697 | |
| 7698 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7699 | armnn::DataType::QuantisedAsymm8); |
| 7700 | outputTensorInfo.SetQuantizationScale(0.1567f); |
| 7701 | outputTensorInfo.SetQuantizationOffset(1); |
| 7702 | |
| 7703 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7704 | 1, 255, |
| 7705 | 200, 250 |
| 7706 | })); |
| 7707 | |
| 7708 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 7709 | // 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] | 7710 | // 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] | 7711 | // that was at position (0,0) of the input matrix (rather than an average, which we would expect if projecting |
| 7712 | // the centre). |
| 7713 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7714 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7715 | 1 |
| 7716 | })); |
| 7717 | |
| 7718 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7719 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7720 | |
| 7721 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7722 | armnn::WorkloadInfo info; |
| 7723 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7724 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7725 | |
| 7726 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7727 | |
| 7728 | inputHandle->Allocate(); |
| 7729 | outputHandle->Allocate(); |
| 7730 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7731 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7732 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7733 | workload->Execute(); |
| 7734 | |
| 7735 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7736 | return result; |
| 7737 | } |
| 7738 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7739 | LayerTestResult<uint8_t, 4> ResizeBilinearSqMinUint8Test( |
| 7740 | armnn::IWorkloadFactory& workloadFactory, |
| 7741 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7742 | { |
| 7743 | constexpr unsigned int inputWidth = 4; |
| 7744 | constexpr unsigned int inputHeight = 4; |
| 7745 | constexpr unsigned int inputChannels = 1; |
| 7746 | constexpr unsigned int inputBatchSize = 1; |
| 7747 | |
| 7748 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 7749 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 7750 | constexpr unsigned int outputChannels = inputChannels; |
| 7751 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7752 | |
| 7753 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7754 | armnn::DataType::QuantisedAsymm8); |
| 7755 | inputTensorInfo.SetQuantizationScale(3.141592f); |
| 7756 | inputTensorInfo.SetQuantizationOffset(3); |
| 7757 | |
| 7758 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7759 | armnn::DataType::QuantisedAsymm8); |
| 7760 | outputTensorInfo.SetQuantizationScale(3.141592f); |
| 7761 | outputTensorInfo.SetQuantizationOffset(3); |
| 7762 | |
| 7763 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7764 | 1, 2, 3, 4, |
| 7765 | 2, 3, 4, 5, |
| 7766 | 3, 4, 5, 6, |
| 7767 | 4, 5, 6, 7 |
| 7768 | })); |
| 7769 | |
| 7770 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7771 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7772 | 1, 3, |
| 7773 | 3, 5 |
| 7774 | })); |
| 7775 | |
| 7776 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7777 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7778 | |
| 7779 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7780 | armnn::WorkloadInfo info; |
| 7781 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7782 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7783 | |
| 7784 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7785 | |
| 7786 | inputHandle->Allocate(); |
| 7787 | outputHandle->Allocate(); |
| 7788 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7789 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7790 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7791 | workload->Execute(); |
| 7792 | |
| 7793 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7794 | return result; |
| 7795 | } |
| 7796 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7797 | LayerTestResult<uint8_t, 4> ResizeBilinearMinUint8Test( |
| 7798 | armnn::IWorkloadFactory& workloadFactory, |
| 7799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7800 | { |
| 7801 | constexpr unsigned int inputWidth = 3; |
| 7802 | constexpr unsigned int inputHeight = 2; |
| 7803 | constexpr unsigned int inputChannels = 1; |
| 7804 | constexpr unsigned int inputBatchSize = 1; |
| 7805 | |
| 7806 | constexpr unsigned int outputWidth = 2; |
| 7807 | constexpr unsigned int outputHeight = 1; |
| 7808 | constexpr unsigned int outputChannels = inputChannels; |
| 7809 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7810 | |
| 7811 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7812 | armnn::DataType::QuantisedAsymm8); |
| 7813 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 7814 | inputTensorInfo.SetQuantizationOffset(-1); |
| 7815 | |
| 7816 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7817 | armnn::DataType::QuantisedAsymm8); |
| 7818 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 7819 | outputTensorInfo.SetQuantizationOffset(-1); |
| 7820 | |
| 7821 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7822 | 1, 2, 3, // 3.0, 4.5, 6.0 |
| 7823 | 5, 8, 13 // 9.0, 13.5, 21.0 |
| 7824 | })); |
| 7825 | |
| 7826 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7827 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7828 | 1, 3 // 3.0, 5.25 |
| 7829 | })); |
| 7830 | |
| 7831 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7832 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7833 | |
| 7834 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7835 | armnn::WorkloadInfo info; |
| 7836 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7837 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7838 | |
| 7839 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7840 | |
| 7841 | inputHandle->Allocate(); |
| 7842 | outputHandle->Allocate(); |
| 7843 | |
| 7844 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7845 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7846 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7847 | workload->Execute(); |
| 7848 | |
| 7849 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7850 | return result; |
| 7851 | } |
| 7852 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7853 | LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test( |
| 7854 | armnn::IWorkloadFactory& workloadFactory, |
| 7855 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7856 | { |
| 7857 | constexpr unsigned int inputWidth = 2; |
| 7858 | constexpr unsigned int inputHeight = 3; |
| 7859 | constexpr unsigned int inputChannels = 1; |
| 7860 | constexpr unsigned int inputBatchSize = 1; |
| 7861 | |
| 7862 | constexpr unsigned int outputWidth = 5; |
| 7863 | constexpr unsigned int outputHeight = 3; |
| 7864 | constexpr unsigned int outputChannels = inputChannels; |
| 7865 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7866 | |
| 7867 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7868 | armnn::DataType::QuantisedAsymm8); |
| 7869 | inputTensorInfo.SetQuantizationScale(0.010765f); |
| 7870 | inputTensorInfo.SetQuantizationOffset(7); |
| 7871 | |
| 7872 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7873 | armnn::DataType::QuantisedAsymm8); |
| 7874 | outputTensorInfo.SetQuantizationScale(0.010132f); |
| 7875 | outputTensorInfo.SetQuantizationOffset(-18); |
| 7876 | |
| 7877 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7878 | 24, 228, // 0.183005, 2.379065, |
| 7879 | 105, 128, // 1.05497, 1.302565 |
| 7880 | 230, 71 // 2.400595, 0.68896 |
| 7881 | })); |
| 7882 | |
| 7883 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7884 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7885 | 0, 87, 173, 217, 217, // 0.18300501, 1.06142902, 1.93985295, 2.37906504, 2.37906504 |
| 7886 | 86, 96, 106, 111, 111, // 1.05497003, 1.15400803, 1.25304604, 1.30256498, 1.30256498 |
| 7887 | 219, 151, 84, 50, 50 // 2.40059495, 1.71594095, 1.03128707, 0.68896002, 0.68896002 |
| 7888 | })); |
| 7889 | |
| 7890 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7891 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7892 | |
| 7893 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7894 | armnn::WorkloadInfo info; |
| 7895 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7896 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7897 | |
| 7898 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7899 | |
| 7900 | inputHandle->Allocate(); |
| 7901 | outputHandle->Allocate(); |
| 7902 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7903 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7904 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7905 | workload->Execute(); |
| 7906 | |
| 7907 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7908 | return result; |
| 7909 | } |
| 7910 | |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7911 | LayerTestResult<float, 2> Rsqrt2dTestCommon( |
| 7912 | armnn::IWorkloadFactory& workloadFactory, |
| 7913 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7914 | const armnn::TensorInfo inputTensorInfo, |
| 7915 | const armnn::TensorInfo outputTensorInfo, |
| 7916 | std::vector<float> inputValues, |
| 7917 | std::vector<float> expectedOutputValues) |
| 7918 | { |
| 7919 | auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7920 | |
| 7921 | LayerTestResult<float, 2> result(outputTensorInfo); |
| 7922 | result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, std::vector<float>(expectedOutputValues)); |
| 7923 | |
| 7924 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7925 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7926 | |
| 7927 | armnn::RsqrtQueueDescriptor descriptor; |
| 7928 | |
| 7929 | armnn::WorkloadInfo info; |
| 7930 | |
| 7931 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7932 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7933 | |
| 7934 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7935 | |
| 7936 | inputHandle->Allocate(); |
| 7937 | outputHandle->Allocate(); |
| 7938 | |
| 7939 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
| 7940 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7941 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7942 | workload->Execute(); |
| 7943 | |
| 7944 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
| 7945 | |
| 7946 | return result; |
| 7947 | } |
| 7948 | LayerTestResult<float, 2> Rsqrt2dTest( |
| 7949 | armnn::IWorkloadFactory& workloadFactory, |
| 7950 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7951 | { |
| 7952 | const armnn::TensorShape inputShape{ 2, 2 }; |
| 7953 | const armnn::TensorShape outputShape{ 2, 2 }; |
| 7954 | |
| 7955 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7956 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7957 | |
| 7958 | std::vector<float> inputValues |
| 7959 | { |
| 7960 | 1.f, 4.f, |
| 7961 | 16.f, 25.f |
| 7962 | }; |
| 7963 | |
| 7964 | std::vector<float> expectedOutputValues |
| 7965 | { |
| 7966 | 1.f, 0.5f, |
| 7967 | 0.25f, 0.2f |
| 7968 | }; |
| 7969 | |
| 7970 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7971 | inputTensorInfo, outputTensorInfo, |
| 7972 | inputValues, expectedOutputValues); |
| 7973 | } |
| 7974 | |
| 7975 | LayerTestResult<float, 3> Rsqrt3dTest( |
| 7976 | armnn::IWorkloadFactory& workloadFactory, |
| 7977 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7978 | { |
| 7979 | const armnn::TensorShape inputShape{ 3, 1, 2 }; |
| 7980 | const armnn::TensorShape outputShape{ 3, 1, 2 }; |
| 7981 | |
| 7982 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7983 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7984 | |
| 7985 | std::vector<float> inputValues |
| 7986 | { |
| 7987 | 1.f, 4.f, 16.f, |
| 7988 | 25.f, 64.f, 100.f |
| 7989 | }; |
| 7990 | |
| 7991 | std::vector<float> expectedOutputValues |
| 7992 | { |
| 7993 | 1.f, 0.5f, 0.25f, |
| 7994 | 0.2f, 0.125f, 0.1f |
| 7995 | }; |
| 7996 | |
| 7997 | auto inputTensor = MakeTensor<float, 3>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7998 | |
| 7999 | LayerTestResult<float, 3> result(outputTensorInfo); |
| 8000 | result.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float >(expectedOutputValues)); |
| 8001 | |
| 8002 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 8003 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8004 | |
| 8005 | armnn::RsqrtQueueDescriptor descriptor; |
| 8006 | |
| 8007 | armnn::WorkloadInfo info; |
| 8008 | |
| 8009 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 8010 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 8011 | |
| 8012 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 8013 | |
| 8014 | inputHandle->Allocate(); |
| 8015 | outputHandle->Allocate(); |
| 8016 | |
| 8017 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 8018 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8019 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 8020 | workload->Execute(); |
| 8021 | |
| 8022 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 8023 | |
| 8024 | return result; |
| 8025 | } |
| 8026 | |
| 8027 | LayerTestResult<float, 2> RsqrtZeroTest( |
| 8028 | armnn::IWorkloadFactory& workloadFactory, |
| 8029 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8030 | { |
| 8031 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 8032 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 8033 | |
| 8034 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 8035 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 8036 | |
| 8037 | std::vector<float> inputValues |
| 8038 | { |
| 8039 | 0.f, -0.f |
| 8040 | }; |
| 8041 | |
| 8042 | std::vector<float> expectedOutputValues |
| 8043 | { |
| 8044 | INFINITY, -INFINITY |
| 8045 | }; |
| 8046 | |
| 8047 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 8048 | inputTensorInfo, outputTensorInfo, |
| 8049 | inputValues, expectedOutputValues); |
| 8050 | } |
| 8051 | |
| 8052 | LayerTestResult<float, 2> RsqrtNegativeTest( |
| 8053 | armnn::IWorkloadFactory& workloadFactory, |
| 8054 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8055 | { |
| 8056 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 8057 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 8058 | |
| 8059 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 8060 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 8061 | |
| 8062 | std::vector<float> inputValues |
| 8063 | { |
| 8064 | -25.f, -16.f |
| 8065 | }; |
| 8066 | |
| 8067 | std::vector<float> expectedOutputValues |
| 8068 | { |
| 8069 | -NAN, -NAN |
| 8070 | }; |
| 8071 | |
| 8072 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 8073 | inputTensorInfo, outputTensorInfo, |
| 8074 | inputValues, expectedOutputValues); |
| 8075 | } |
| 8076 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8077 | LayerTestResult<float, 4> BatchNormTest( |
| 8078 | armnn::IWorkloadFactory& workloadFactory, |
| 8079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8080 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8081 | // BatchSize: 1 |
| 8082 | // Channels: 2 |
| 8083 | // Height: 3 |
| 8084 | // Width: 2 |
| 8085 | |
| 8086 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8087 | std::vector<float> inputValues |
| 8088 | { |
| 8089 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8090 | 1.f, 4.f, |
| 8091 | 4.f, 2.f, |
| 8092 | 1.f, 6.f, |
| 8093 | |
| 8094 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8095 | 1.f, 1.f, |
| 8096 | 4.f, 1.f, |
| 8097 | -2.f, 4.f |
| 8098 | }; |
| 8099 | std::vector<float> expectedOutputValues |
| 8100 | { |
| 8101 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8102 | 1.f, 4.f, |
| 8103 | 4.f, 2.f, |
| 8104 | 1.f, 6.f, |
| 8105 | |
| 8106 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8107 | 3.f, 3.f, |
| 8108 | 4.f, 3.f, |
| 8109 | 2.f, 4.f |
| 8110 | }; |
| 8111 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8112 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8113 | workloadFactory, memoryManager, |
| 8114 | inputOutputShape, inputValues, expectedOutputValues, |
| 8115 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8116 | } |
| 8117 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8118 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 8119 | armnn::IWorkloadFactory& workloadFactory, |
| 8120 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8121 | { |
| 8122 | // BatchSize: 1 |
| 8123 | // Height: 3 |
| 8124 | // Width: 2 |
| 8125 | // Channels: 2 |
| 8126 | |
| 8127 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8128 | std::vector<float> inputValues |
| 8129 | { |
| 8130 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8131 | 1.f, 1.f, |
| 8132 | 4.f, 1.f, |
| 8133 | |
| 8134 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8135 | 4.f, 4.f, |
| 8136 | 2.f, 1.f, |
| 8137 | |
| 8138 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8139 | 1.f, -2.f, |
| 8140 | 6.f, 4.f |
| 8141 | }; |
| 8142 | std::vector<float> expectedOutputValues |
| 8143 | { |
| 8144 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8145 | 1.f, 3.f, |
| 8146 | 4.f, 3.f, |
| 8147 | |
| 8148 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8149 | 4.f, 4.f, |
| 8150 | 2.f, 3.f, |
| 8151 | |
| 8152 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8153 | 1.f, 2.f, |
| 8154 | 6.f, 4.f |
| 8155 | }; |
| 8156 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8157 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8158 | workloadFactory, memoryManager, |
| 8159 | inputOutputShape, inputValues, expectedOutputValues, |
| 8160 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8161 | } |
| 8162 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8163 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 8164 | armnn::IWorkloadFactory& workloadFactory, |
| 8165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8166 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8167 | // BatchSize: 1 |
| 8168 | // Channels: 2 |
| 8169 | // Height: 3 |
| 8170 | // Width: 2 |
| 8171 | |
| 8172 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8173 | std::vector<float> inputValues |
| 8174 | { |
| 8175 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8176 | 1.f, 4.f, |
| 8177 | 4.f, 2.f, |
| 8178 | 1.f, 6.f, |
| 8179 | |
| 8180 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8181 | 1.f, 1.f, |
| 8182 | 4.f, 1.f, |
| 8183 | -2.f, 4.f |
| 8184 | }; |
| 8185 | std::vector<float> expectedOutputValues |
| 8186 | { |
| 8187 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8188 | 1.f, 4.f, |
| 8189 | 4.f, 2.f, |
| 8190 | 1.f, 6.f, |
| 8191 | |
| 8192 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8193 | 3.f, 3.f, |
| 8194 | 4.f, 3.f, |
| 8195 | 2.f, 4.f |
| 8196 | }; |
| 8197 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8198 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8199 | workloadFactory, memoryManager, |
| 8200 | inputOutputShape, inputValues, expectedOutputValues, |
| 8201 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8202 | } |
| 8203 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8204 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 8205 | armnn::IWorkloadFactory& workloadFactory, |
| 8206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8207 | { |
| 8208 | // BatchSize: 1 |
| 8209 | // Height: 3 |
| 8210 | // Width: 2 |
| 8211 | // Channels: 2 |
| 8212 | |
| 8213 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8214 | std::vector<float> inputValues |
| 8215 | { |
| 8216 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8217 | 1.f, 1.f, |
| 8218 | 4.f, 1.f, |
| 8219 | |
| 8220 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8221 | 4.f, 4.f, |
| 8222 | 2.f, 1.f, |
| 8223 | |
| 8224 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8225 | 1.f, -2.f, |
| 8226 | 6.f, 4.f |
| 8227 | }; |
| 8228 | std::vector<float> expectedOutputValues |
| 8229 | { |
| 8230 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8231 | 1.f, 3.f, |
| 8232 | 4.f, 3.f, |
| 8233 | |
| 8234 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8235 | 4.f, 4.f, |
| 8236 | 2.f, 3.f, |
| 8237 | |
| 8238 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8239 | 1.f, 2.f, |
| 8240 | 6.f, 4.f |
| 8241 | }; |
| 8242 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8243 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 8244 | (workloadFactory, memoryManager, |
| 8245 | inputOutputShape, inputValues, expectedOutputValues, |
| 8246 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8247 | } |
| 8248 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8249 | LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8250 | armnn::IWorkloadFactory& workloadFactory, |
| 8251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8252 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8253 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8254 | } |
| 8255 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8256 | LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest( |
| 8257 | armnn::IWorkloadFactory& workloadFactory, |
| 8258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8259 | { |
| 8260 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 2e-6f, 1); |
| 8261 | } |
| 8262 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8263 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 8264 | armnn::IWorkloadFactory& workloadFactory, |
| 8265 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8266 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8267 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8268 | } |
| 8269 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8270 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 8271 | armnn::IWorkloadFactory& workloadFactory, |
| 8272 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8273 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8274 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8275 | } |
| 8276 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8277 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 8278 | armnn::IWorkloadFactory& workloadFactory, |
| 8279 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8280 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8281 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8282 | } |
| 8283 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8284 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 8285 | armnn::IWorkloadFactory& workloadFactory, |
| 8286 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8287 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8288 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8289 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8290 | } |
| 8291 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8292 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 8293 | armnn::IWorkloadFactory& workloadFactory, |
| 8294 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8295 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8296 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8297 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8298 | } |
| 8299 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8300 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 8301 | armnn::IWorkloadFactory& workloadFactory, |
| 8302 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8303 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8304 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8305 | } |
| 8306 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8307 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 8308 | armnn::IWorkloadFactory& workloadFactory, |
| 8309 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8310 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8311 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8312 | } |
| 8313 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8314 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 8315 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8316 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8317 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8318 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8319 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8320 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8321 | } |
| 8322 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8323 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 8324 | armnn::IWorkloadFactory& workloadFactory, |
| 8325 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8326 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8327 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8328 | } |
| 8329 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8330 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 8331 | armnn::IWorkloadFactory& workloadFactory, |
| 8332 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8333 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8334 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8335 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8336 | } |
| 8337 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8338 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 8339 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8340 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8341 | bool useSubtensor) |
| 8342 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8343 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8344 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8345 | } |
| 8346 | |
| 8347 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 8348 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8349 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8350 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8351 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8352 | } |
| 8353 | |
| 8354 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 8355 | armnn::IWorkloadFactory& workloadFactory, |
| 8356 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8357 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8358 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8359 | } |
| 8360 | |
| 8361 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 8362 | armnn::IWorkloadFactory& workloadFactory, |
| 8363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8364 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8365 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8366 | } |
| 8367 | |
| 8368 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 8369 | armnn::IWorkloadFactory& workloadFactory, |
| 8370 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 8371 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8372 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8373 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8374 | } |
| 8375 | |
| 8376 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 8377 | armnn::IWorkloadFactory& workloadFactory, |
| 8378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8379 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8380 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8381 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8382 | } |
| 8383 | |
| 8384 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 8385 | armnn::IWorkloadFactory& workloadFactory, |
| 8386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8387 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8388 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8389 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8390 | } |
| 8391 | |
| 8392 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 8393 | armnn::IWorkloadFactory& workloadFactory, |
| 8394 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8395 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8396 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8397 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8398 | } |
| 8399 | |
| 8400 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 8401 | armnn::IWorkloadFactory& workloadFactory, |
| 8402 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8403 | bool useSubtensor) |
| 8404 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8405 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8406 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8407 | } |
| 8408 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8409 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 8410 | armnn::IWorkloadFactory& workloadFactory, |
| 8411 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8412 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8413 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8414 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 8415 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8416 | } |
| 8417 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8418 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 8419 | armnn::IWorkloadFactory& workloadFactory, |
| 8420 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8421 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8422 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8423 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8424 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8425 | } |
| 8426 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8427 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 8428 | armnn::IWorkloadFactory& workloadFactory, |
| 8429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8430 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8431 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8432 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 8433 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8434 | } |
| 8435 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8436 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 8437 | armnn::IWorkloadFactory& workloadFactory, |
| 8438 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8439 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8440 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8441 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8442 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8443 | } |
| 8444 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8445 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 8446 | armnn::IWorkloadFactory& workloadFactory, |
| 8447 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8448 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8449 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8450 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8451 | } |
| 8452 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8453 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 8454 | armnn::IWorkloadFactory& workloadFactory, |
| 8455 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8456 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8457 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8458 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8459 | } |
| 8460 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8461 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 8462 | armnn::IWorkloadFactory& workloadFactory, |
| 8463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8464 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8465 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8466 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8467 | } |
| 8468 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8469 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 8470 | armnn::IWorkloadFactory& workloadFactory, |
| 8471 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8472 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8473 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8474 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8475 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8476 | } |
| 8477 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8478 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 8479 | armnn::IWorkloadFactory& workloadFactory, |
| 8480 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8481 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8482 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8483 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8484 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8485 | } |
| 8486 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8487 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 8488 | armnn::IWorkloadFactory& workloadFactory, |
| 8489 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8490 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8491 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8492 | } |
| 8493 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8494 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 8495 | armnn::IWorkloadFactory& workloadFactory, |
| 8496 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8497 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8498 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8499 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8500 | } |
| 8501 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8502 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 8503 | armnn::IWorkloadFactory& workloadFactory, |
| 8504 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8505 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8506 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8507 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8508 | } |
| 8509 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8510 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 8511 | armnn::IWorkloadFactory& workloadFactory, |
| 8512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8513 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8514 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8515 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8516 | } |
| 8517 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8518 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 8519 | armnn::IWorkloadFactory& workloadFactory, |
| 8520 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8521 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8522 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8523 | } |
| 8524 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8525 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 8526 | armnn::IWorkloadFactory& workloadFactory, |
| 8527 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8528 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8529 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8530 | } |
| 8531 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8532 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 8533 | armnn::IWorkloadFactory& workloadFactory, |
| 8534 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8535 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8536 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8537 | } |
| 8538 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8539 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 8540 | armnn::IWorkloadFactory& workloadFactory, |
| 8541 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8542 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8543 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8544 | } |
| 8545 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8546 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 8547 | armnn::IWorkloadFactory& workloadFactory, |
| 8548 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8549 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8550 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8551 | } |
| 8552 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8553 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 8554 | armnn::IWorkloadFactory& workloadFactory, |
| 8555 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8556 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8557 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8558 | } |
| 8559 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8560 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 8561 | armnn::IWorkloadFactory& workloadFactory, |
| 8562 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8563 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8564 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8565 | } |
| 8566 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8567 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 8568 | armnn::IWorkloadFactory& workloadFactory, |
| 8569 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8570 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8571 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8572 | } |
| 8573 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8574 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 8575 | armnn::IWorkloadFactory& workloadFactory, |
| 8576 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8577 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8578 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8579 | } |
| 8580 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8581 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 8582 | armnn::IWorkloadFactory& workloadFactory, |
| 8583 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8584 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8585 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8586 | } |
| 8587 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8588 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 8589 | armnn::IWorkloadFactory& workloadFactory, |
| 8590 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8591 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8592 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8593 | } |
| 8594 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8595 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 8596 | armnn::IWorkloadFactory& workloadFactory, |
| 8597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8598 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8599 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8600 | } |
| 8601 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8602 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 8603 | armnn::IWorkloadFactory& workloadFactory, |
| 8604 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8605 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8606 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8607 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8608 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8609 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8610 | } |
| 8611 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8612 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 8613 | armnn::IWorkloadFactory& workloadFactory, |
| 8614 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8615 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8616 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8617 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8618 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8619 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8620 | } |
| 8621 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8622 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 8623 | armnn::IWorkloadFactory& workloadFactory, |
| 8624 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8625 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8626 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8627 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8628 | } |
| 8629 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8630 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 8631 | armnn::IWorkloadFactory& workloadFactory, |
| 8632 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8633 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8634 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8635 | } |
| 8636 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8637 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 8638 | armnn::IWorkloadFactory& workloadFactory, |
| 8639 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8640 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8641 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8642 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8643 | } |
| 8644 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8645 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 8646 | armnn::IWorkloadFactory& workloadFactory, |
| 8647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8648 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8649 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8650 | } |
| 8651 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8652 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 8653 | armnn::IWorkloadFactory& workloadFactory, |
| 8654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8655 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8656 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8657 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8658 | } |
| 8659 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8660 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 8661 | armnn::IWorkloadFactory& workloadFactory, |
| 8662 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8663 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8664 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8665 | } |
| 8666 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8667 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 8668 | armnn::IWorkloadFactory& workloadFactory, |
| 8669 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8670 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8671 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8672 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8673 | } |
| 8674 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8675 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 8676 | armnn::IWorkloadFactory& workloadFactory, |
| 8677 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8678 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8679 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 8680 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8681 | } |
| 8682 | |
| 8683 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8684 | armnn::IWorkloadFactory& workloadFactory, |
| 8685 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8686 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8687 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8688 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8689 | } |
| 8690 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8691 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 8692 | armnn::IWorkloadFactory& workloadFactory, |
| 8693 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8694 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8695 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8696 | } |
| 8697 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8698 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 8699 | armnn::IWorkloadFactory& workloadFactory, |
| 8700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8701 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8702 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8703 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8704 | } |
| 8705 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8706 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 8707 | armnn::IWorkloadFactory& workloadFactory, |
| 8708 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8709 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8710 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8711 | } |
| 8712 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8713 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 8714 | armnn::IWorkloadFactory& workloadFactory, |
| 8715 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8716 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8717 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8718 | } |
| 8719 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8720 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 8721 | armnn::IWorkloadFactory& workloadFactory, |
| 8722 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8723 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8724 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8725 | } |
| 8726 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8727 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 8728 | armnn::IWorkloadFactory& workloadFactory, |
| 8729 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8730 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8731 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8732 | } |
| 8733 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8734 | LayerTestResult<float, 4> SimplePermuteFloat32Test( |
| 8735 | armnn::IWorkloadFactory& workloadFactory, |
| 8736 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8737 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8738 | return SimplePermuteFloat32TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8739 | }; |
| 8740 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8741 | LayerTestResult<uint8_t, 4> SimplePermuteUint8Test( |
| 8742 | armnn::IWorkloadFactory& workloadFactory, |
| 8743 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8744 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8745 | return SimplePermuteUint8TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8746 | }; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8747 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8748 | LayerTestResult<float, 4> PermuteFloat32ValueSet1Test( |
| 8749 | armnn::IWorkloadFactory& workloadFactory, |
| 8750 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8751 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8752 | return PermuteFloat32ValueSet1TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8753 | }; |
| 8754 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8755 | LayerTestResult<float, 4> PermuteFloat32ValueSet2Test( |
| 8756 | armnn::IWorkloadFactory& workloadFactory, |
| 8757 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8758 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8759 | return PermuteFloat32ValueSet2TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8760 | }; |
| 8761 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8762 | LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( |
| 8763 | armnn::IWorkloadFactory& workloadFactory, |
| 8764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8765 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8766 | return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8767 | }; |
| 8768 | |
| 8769 | namespace |
| 8770 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8771 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8772 | template <typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8773 | LayerTestResult<T, OutputDim> MeanTestHelper( |
| 8774 | armnn::IWorkloadFactory& workloadFactory, |
| 8775 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8776 | const unsigned int* inputShape, |
| 8777 | const std::vector<T>& inputData, |
| 8778 | const std::vector<unsigned int>& axis, |
| 8779 | bool keepDims, |
| 8780 | const unsigned int* outputShape, |
| 8781 | const std::vector<T>& outputData, |
| 8782 | float scale = 1.0f, |
| 8783 | int32_t offset = 0) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8784 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8785 | 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] | 8786 | |
| 8787 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 8788 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 8789 | |
| 8790 | inputTensorInfo.SetQuantizationScale(scale); |
| 8791 | inputTensorInfo.SetQuantizationOffset(offset); |
| 8792 | |
| 8793 | outputTensorInfo.SetQuantizationScale(scale); |
| 8794 | outputTensorInfo.SetQuantizationOffset(offset); |
| 8795 | |
| 8796 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 8797 | |
| 8798 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 8799 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 8800 | |
| 8801 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 8802 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8803 | |
| 8804 | armnn::MeanQueueDescriptor data; |
| 8805 | data.m_Parameters.m_Axis = axis; |
| 8806 | data.m_Parameters.m_KeepDims = keepDims; |
| 8807 | armnn::WorkloadInfo info; |
| 8808 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 8809 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8810 | |
| 8811 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); |
| 8812 | |
| 8813 | inputHandle->Allocate(); |
| 8814 | outputHandle->Allocate(); |
| 8815 | |
| 8816 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 8817 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8818 | workload->PostAllocationConfigure(); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8819 | workload->Execute(); |
| 8820 | |
| 8821 | CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| 8822 | |
| 8823 | return result; |
| 8824 | } |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8825 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8826 | } // anonymous namespace |
| 8827 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8828 | LayerTestResult<uint8_t, 1> MeanUint8SimpleTest( |
| 8829 | armnn::IWorkloadFactory& workloadFactory, |
| 8830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8831 | { |
| 8832 | const unsigned int inputShape[] = { 3, 2 }; |
| 8833 | const unsigned int outputShape[] = { 1 }; |
| 8834 | |
| 8835 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8836 | std::vector<uint8_t> output({ 2 }); |
| 8837 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8838 | return MeanTestHelper<uint8_t, 2, 1>( |
| 8839 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8840 | } |
| 8841 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8842 | LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest( |
| 8843 | armnn::IWorkloadFactory& workloadFactory, |
| 8844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8845 | { |
| 8846 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8847 | const unsigned int outputShape[] = { 1, 1, 2 }; |
| 8848 | |
| 8849 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8850 | std::vector<uint8_t> output({ 2, 2 }); |
| 8851 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8852 | return MeanTestHelper<uint8_t, 4, 3>( |
| 8853 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8854 | } |
| 8855 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8856 | LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest( |
| 8857 | armnn::IWorkloadFactory& workloadFactory, |
| 8858 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8859 | { |
| 8860 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8861 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8862 | |
| 8863 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8864 | std::vector<uint8_t> output({ 2, 2 }); |
| 8865 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8866 | return MeanTestHelper<uint8_t, 4, 4>( |
| 8867 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8868 | } |
| 8869 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8870 | LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest( |
| 8871 | armnn::IWorkloadFactory& workloadFactory, |
| 8872 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8873 | { |
| 8874 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8875 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8876 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8877 | 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] | 8878 | std::vector<uint8_t> output({ 1, 3, 5 }); |
| 8879 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8880 | return MeanTestHelper<uint8_t, 4, 4>( |
| 8881 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8882 | } |
| 8883 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8884 | LayerTestResult<uint8_t, 1> MeanVtsUint8Test( |
| 8885 | armnn::IWorkloadFactory& workloadFactory, |
| 8886 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8887 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8888 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8889 | const unsigned int outputShape[] = { 2 }; |
| 8890 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8891 | 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, |
| 8892 | 24 }); |
| 8893 | std::vector<uint8_t> output({ 12, 13 }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8894 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8895 | return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, memoryManager, |
| 8896 | inputShape, input, { 0, 1 }, false, outputShape, |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8897 | output, 0.8f, 5); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8898 | } |
| 8899 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8900 | LayerTestResult<float, 1> MeanFloatSimpleTest( |
| 8901 | armnn::IWorkloadFactory& workloadFactory, |
| 8902 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8903 | { |
| 8904 | const unsigned int inputShape[] = { 3, 2 }; |
| 8905 | const unsigned int outputShape[] = { 1 }; |
| 8906 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8907 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8908 | std::vector<float> output({ 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8909 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8910 | return MeanTestHelper<float, 2, 1>( |
| 8911 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8912 | } |
| 8913 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8914 | LayerTestResult<float, 3> MeanFloatSimpleAxisTest( |
| 8915 | armnn::IWorkloadFactory& workloadFactory, |
| 8916 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8917 | { |
| 8918 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8919 | const unsigned int outputShape[] = { 3, 1, 2 }; |
| 8920 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8921 | 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 }); |
| 8922 | 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] | 8923 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8924 | return MeanTestHelper<float, 4, 3>( |
| 8925 | workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8926 | } |
| 8927 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8928 | LayerTestResult<float, 4> MeanFloatKeepDimsTest( |
| 8929 | armnn::IWorkloadFactory& workloadFactory, |
| 8930 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8931 | { |
| 8932 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8933 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8934 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8935 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8936 | std::vector<float> output({ 2.0f, 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8937 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8938 | return MeanTestHelper<float, 4, 4>( |
| 8939 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8940 | } |
| 8941 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8942 | LayerTestResult<float, 4> MeanFloatMultipleDimsTest( |
| 8943 | armnn::IWorkloadFactory& workloadFactory, |
| 8944 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8945 | { |
| 8946 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8947 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8948 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8949 | 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 }); |
| 8950 | std::vector<float> output({ 1.5f, 3.5f, 5.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8951 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8952 | return MeanTestHelper<float, 4, 4>( |
| 8953 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8954 | } |
| 8955 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8956 | LayerTestResult<float, 1> MeanVtsFloat1Test( |
| 8957 | armnn::IWorkloadFactory& workloadFactory, |
| 8958 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8959 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8960 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8961 | const unsigned int outputShape[] = { 2 }; |
| 8962 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8963 | 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, |
| 8964 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8965 | std::vector<float> output({ 12.0f, 13.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8966 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8967 | return MeanTestHelper<float, 3, 1>( |
| 8968 | workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8969 | } |
| 8970 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8971 | LayerTestResult<float, 3> MeanVtsFloat2Test( |
| 8972 | armnn::IWorkloadFactory& workloadFactory, |
| 8973 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8974 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8975 | const unsigned int inputShape[] = { 4, 3, 2 }; |
| 8976 | const unsigned int outputShape[] = { 1, 3, 1 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8977 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8978 | 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, |
| 8979 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8980 | std::vector<float> output({ 10.5f, 12.5f, 14.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8981 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8982 | return MeanTestHelper<float, 3, 3>( |
| 8983 | workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8984 | } |
| 8985 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8986 | LayerTestResult<float, 3> MeanVtsFloat3Test( |
| 8987 | armnn::IWorkloadFactory& workloadFactory, |
| 8988 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8989 | { |
| 8990 | const unsigned int inputShape[] = { 1, 2, 2, 1 }; |
| 8991 | const unsigned int outputShape[] = { 1, 2, 1 }; |
| 8992 | |
| 8993 | std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); |
| 8994 | std::vector<float> output({ 1.5f, 3.5f }); |
| 8995 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8996 | return MeanTestHelper<float, 4, 3>( |
| 8997 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8998 | } |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8999 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9000 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 9001 | armnn::IWorkloadFactory& workloadFactory, |
| 9002 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9003 | { |
| 9004 | // Create Initial Tensor |
| 9005 | // 1, 2, 3 |
| 9006 | // 4, 5, 6 |
| 9007 | // 7, 8, 9 |
| 9008 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9009 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 9010 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9011 | |
| 9012 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 9013 | {1, 2, 3, |
| 9014 | 4, 5, 6, |
| 9015 | 7, 8, 9 |
| 9016 | }); |
| 9017 | |
| 9018 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 9019 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 9020 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 9021 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 9022 | |
| 9023 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 9024 | // Result = |
| 9025 | // 1, 3 |
| 9026 | // 7, 9 |
| 9027 | armnn::Pooling2dDescriptor descriptor; |
| 9028 | descriptor.m_PoolHeight = 1; |
| 9029 | descriptor.m_PoolWidth = 1; |
| 9030 | descriptor.m_StrideX = 2; |
| 9031 | descriptor.m_StrideY = 2; |
| 9032 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 9033 | |
| 9034 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 9035 | queueDescriptor.m_Parameters = descriptor; |
| 9036 | armnn::WorkloadInfo workloadInfo; |
| 9037 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 9038 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9039 | |
| 9040 | // Create the MaxPool |
| 9041 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 9042 | |
| 9043 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 9044 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 9045 | boost::multi_array<float, 4> resultMaxPool; |
| 9046 | resultMaxPool.resize(shape); |
| 9047 | |
| 9048 | |
| 9049 | // Create addition with another tensor the same size |
| 9050 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 9051 | // with the initial tensor. |
| 9052 | // 12, 16 |
| 9053 | // 24, 28 |
| 9054 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9055 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 9056 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9057 | |
| 9058 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 9059 | {12, 16, |
| 9060 | 24, 28, |
| 9061 | }); |
| 9062 | |
| 9063 | // Expected output tensor after MaxPool and Addition. |
| 9064 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 9065 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 9066 | { |
| 9067 | 13, 19, |
| 9068 | 31, 37 |
| 9069 | })); |
| 9070 | |
| 9071 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 9072 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 9073 | |
| 9074 | armnn::AdditionQueueDescriptor data; |
| 9075 | armnn::WorkloadInfo info; |
| 9076 | |
| 9077 | // Add the output of the MaxPool and the new tensor |
| 9078 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9079 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 9080 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 9081 | |
| 9082 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 9083 | |
| 9084 | poolingInputHandle->Allocate(); |
| 9085 | poolingOutputHandle->Allocate(); |
| 9086 | addInputHandle->Allocate(); |
| 9087 | addOutputHandle->Allocate(); |
| 9088 | |
| 9089 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 9090 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 9091 | |
| 9092 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 9093 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 9094 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9095 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9096 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9097 | addWorkload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9098 | addWorkload->Execute(); |
| 9099 | |
| 9100 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 9101 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9102 | return addRet; |
| 9103 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9104 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9105 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 9106 | armnn::IWorkloadFactory& workloadFactory, |
| 9107 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9108 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9109 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9110 | } |
| 9111 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9112 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 9113 | armnn::IWorkloadFactory& workloadFactory, |
| 9114 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9115 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9116 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9117 | } |
| 9118 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9119 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 9120 | armnn::IWorkloadFactory& workloadFactory, |
| 9121 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9122 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9123 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9124 | } |
| 9125 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9126 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 9127 | armnn::IWorkloadFactory& workloadFactory, |
| 9128 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9129 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9130 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9131 | } |
| 9132 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9133 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 9134 | armnn::IWorkloadFactory& workloadFactory, |
| 9135 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9136 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9137 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9138 | } |
| 9139 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9140 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 9141 | armnn::IWorkloadFactory& workloadFactory, |
| 9142 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9143 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9144 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9145 | } |
| 9146 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9147 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 9148 | armnn::IWorkloadFactory& workloadFactory, |
| 9149 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9150 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9151 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9152 | } |
| 9153 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9154 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 9155 | armnn::IWorkloadFactory& workloadFactory, |
| 9156 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9157 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9158 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9159 | } |
| 9160 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9161 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 9162 | armnn::IWorkloadFactory& workloadFactory, |
| 9163 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9164 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9165 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9166 | } |
| 9167 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9168 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 9169 | armnn::IWorkloadFactory& workloadFactory, |
| 9170 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9171 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9172 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9173 | } |
| 9174 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9175 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 9176 | armnn::IWorkloadFactory& workloadFactory, |
| 9177 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9178 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9179 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9180 | } |
| 9181 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9182 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 9183 | armnn::IWorkloadFactory& workloadFactory, |
| 9184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9185 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9186 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9187 | } |
| 9188 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9189 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 9190 | armnn::IWorkloadFactory& workloadFactory, |
| 9191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9192 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9193 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9194 | } |
| 9195 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9196 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 9197 | armnn::IWorkloadFactory& workloadFactory, |
| 9198 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9199 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9200 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9201 | } |
| 9202 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9203 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 9204 | armnn::IWorkloadFactory& workloadFactory, |
| 9205 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9206 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9207 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9208 | } |
| 9209 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9210 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 9211 | armnn::IWorkloadFactory& workloadFactory, |
| 9212 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9213 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9214 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9215 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9216 | |
| 9217 | namespace { |
| 9218 | |
| 9219 | template<typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9220 | LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( |
| 9221 | armnn::IWorkloadFactory &workloadFactory, |
| 9222 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9223 | const armnn::DataLayout& dataLayout, |
| 9224 | const unsigned int *inputShape, |
| 9225 | const std::vector<T> &inputData, |
| 9226 | const std::vector<unsigned int> &blockShape, |
| 9227 | const std::vector<std::pair<unsigned int, unsigned int>> &crops, |
| 9228 | const unsigned int *outputShape, |
| 9229 | const std::vector<T> &outputData, |
| 9230 | float scale = 1.0f, |
| 9231 | int32_t offset = 0) |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9232 | { |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9233 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
| 9234 | |
| 9235 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 9236 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 9237 | |
| 9238 | inputTensorInfo.SetQuantizationScale(scale); |
| 9239 | inputTensorInfo.SetQuantizationOffset(offset); |
| 9240 | |
| 9241 | outputTensorInfo.SetQuantizationScale(scale); |
| 9242 | outputTensorInfo.SetQuantizationOffset(offset); |
| 9243 | |
| 9244 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 9245 | |
| 9246 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 9247 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 9248 | |
| 9249 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 9250 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 9251 | |
| 9252 | armnn::BatchToSpaceNdQueueDescriptor data; |
| 9253 | data.m_Parameters.m_DataLayout = dataLayout; |
| 9254 | data.m_Parameters.m_BlockShape = blockShape; |
| 9255 | data.m_Parameters.m_Crops = crops; |
| 9256 | armnn::WorkloadInfo info; |
| 9257 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 9258 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 9259 | |
| 9260 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); |
| 9261 | |
| 9262 | inputHandle->Allocate(); |
| 9263 | outputHandle->Allocate(); |
| 9264 | |
| 9265 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 9266 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9267 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9268 | workload->Execute(); |
| 9269 | |
| 9270 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 9271 | |
| 9272 | return result; |
| 9273 | } |
| 9274 | |
| 9275 | } // anonymous namespace |
| 9276 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9277 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( |
| 9278 | armnn::IWorkloadFactory& workloadFactory, |
| 9279 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9280 | { |
| 9281 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9282 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9283 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9284 | std::vector<float> input({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9285 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9286 | 1.0f, 3.0f, |
| 9287 | // Batch 0, Height 1, Width (2) x Channel (1) |
| 9288 | 9.0f, 11.0f, |
| 9289 | |
| 9290 | |
| 9291 | // Batch 1, Height 0, Width (2) x Channel (1) |
| 9292 | 2.0f, 4.0f, |
| 9293 | // Batch 1, Height 1, Width (2) x Channel (1) |
| 9294 | 10.0f, 12.0f, |
| 9295 | |
| 9296 | |
| 9297 | // Batch 2, Height 0, Width (2) x Channel (1) |
| 9298 | 5.0f, 7.0f, |
| 9299 | // Batch 2, Height 1, Width (2) x Channel (1) |
| 9300 | 13.0f, 15.0f, |
| 9301 | |
| 9302 | // Batch 3, Height 0, Width (2) x Channel (3) |
| 9303 | 6.0f, 8.0f, |
| 9304 | // Batch 3, Height 1, Width (2) x Channel (1) |
| 9305 | 14.0f, 16.0f |
| 9306 | }); |
| 9307 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9308 | std::vector<float> expectedOutput({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9309 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9310 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9311 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9312 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9313 | }); |
| 9314 | |
| 9315 | std::vector<unsigned int> blockShape {2, 2}; |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9316 | 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] | 9317 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9318 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9319 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9320 | crops, outputShape, expectedOutput); |
| 9321 | } |
| 9322 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9323 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( |
| 9324 | armnn::IWorkloadFactory& workloadFactory, |
| 9325 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9326 | { |
| 9327 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9328 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9329 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9330 | std::vector<float> input({ |
| 9331 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9332 | 1.0f, 2.0f, 3.0f, 4.0f |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9333 | }); |
| 9334 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9335 | 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] | 9336 | |
| 9337 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9338 | 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] | 9339 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9340 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9341 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9342 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9343 | } |
| 9344 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9345 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( |
| 9346 | armnn::IWorkloadFactory& workloadFactory, |
| 9347 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9348 | { |
| 9349 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9350 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9351 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9352 | 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] | 9353 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9354 | 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] | 9355 | |
| 9356 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9357 | 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] | 9358 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9359 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9360 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9361 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9362 | } |
| 9363 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9364 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( |
| 9365 | armnn::IWorkloadFactory& workloadFactory, |
| 9366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9367 | { |
| 9368 | const unsigned int inputShape[] = {8, 1, 3, 1}; |
| 9369 | const unsigned int outputShape[] = {2, 2, 4, 1}; |
| 9370 | |
| 9371 | std::vector<float> input({ |
| 9372 | 0.0f, 1.0f, 3.0f, |
| 9373 | 0.0f, 9.0f, 11.0f, |
| 9374 | 0.0f, 2.0f, 4.0f, |
| 9375 | 0.0f, 10.0f, 12.0f, |
| 9376 | 0.0f, 5.0f, 7.0f, |
| 9377 | 0.0f, 13.0f, 15.0f, |
| 9378 | 0.0f, 6.0f, 8.0f, |
| 9379 | 0.0f, 14.0f, 16.0f |
| 9380 | }); |
| 9381 | |
| 9382 | std::vector<float> expectedOutput({ |
| 9383 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9384 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9385 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9386 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9387 | }); |
| 9388 | |
| 9389 | std::vector<unsigned int> blockShape({2, 2}); |
| 9390 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9391 | |
| 9392 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9393 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9394 | crops, outputShape, expectedOutput); |
| 9395 | } |
| 9396 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9397 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( |
| 9398 | armnn::IWorkloadFactory &workloadFactory, |
| 9399 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9400 | { |
| 9401 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9402 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9403 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9404 | 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] | 9405 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9406 | std::vector<float> expectedOutput({ |
| 9407 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9408 | 1.0f, 4.0f, |
| 9409 | 7.0f, 10.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9410 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9411 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9412 | 2.0f, 5.0f, |
| 9413 | 8.0f, 11.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9414 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9415 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9416 | 3.0f, 6.0f, |
| 9417 | 9.0f, 12.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9418 | }); |
| 9419 | |
| 9420 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9421 | 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] | 9422 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9423 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9424 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9425 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9426 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9427 | |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9428 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9429 | armnn::IWorkloadFactory& workloadFactory, |
| 9430 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9431 | { |
| 9432 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9433 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9434 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9435 | std::vector<float> input({ |
| 9436 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9437 | 1.0f, 2.0f, 3.0f, 4.0f |
| 9438 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9439 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9440 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9441 | |
| 9442 | std::vector<unsigned int> blockShape({2, 2}); |
| 9443 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9444 | |
| 9445 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9446 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9447 | crops, outputShape, expectedOutput); |
| 9448 | } |
| 9449 | |
| 9450 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9451 | armnn::IWorkloadFactory& workloadFactory, |
| 9452 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9453 | { |
| 9454 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9455 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9456 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9457 | 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] | 9458 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9459 | std::vector<float> expectedOutput({ |
| 9460 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9461 | 1.0f, 7.0f, |
| 9462 | 2.0f, 8.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9463 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9464 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9465 | 3.0f, 9.0f, |
| 9466 | 4.0f, 10.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9467 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9468 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9469 | 5.0f, 11.0f, |
| 9470 | 6.0f, 12.0f, |
| 9471 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9472 | |
| 9473 | std::vector<unsigned int> blockShape({2, 2}); |
| 9474 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9475 | |
| 9476 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9477 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9478 | crops, outputShape, expectedOutput); |
| 9479 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9480 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9481 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( |
| 9482 | armnn::IWorkloadFactory& workloadFactory, |
| 9483 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9484 | { |
| 9485 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
| 9486 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
| 9487 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9488 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); |
| 9489 | 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] | 9490 | |
| 9491 | std::vector<unsigned int> blockShape({2, 2}); |
| 9492 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9493 | |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 9494 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, |
| 9495 | input, blockShape, crops, outputShape, expectedOutput); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9496 | } |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9497 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9498 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( |
| 9499 | armnn::IWorkloadFactory& workloadFactory, |
| 9500 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9501 | { |
| 9502 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9503 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9504 | |
| 9505 | std::vector<uint8_t> input({ |
| 9506 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9507 | 1, 2, 3, 4 |
| 9508 | }); |
| 9509 | |
| 9510 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9511 | |
| 9512 | std::vector<unsigned int> blockShape({2, 2}); |
| 9513 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9514 | |
| 9515 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9516 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9517 | crops, outputShape, expectedOutput); |
| 9518 | } |
| 9519 | |
| 9520 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( |
| 9521 | armnn::IWorkloadFactory& workloadFactory, |
| 9522 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9523 | { |
| 9524 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9525 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9526 | |
| 9527 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9528 | |
| 9529 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9530 | |
| 9531 | std::vector<unsigned int> blockShape({2, 2}); |
| 9532 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9533 | |
| 9534 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9535 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9536 | crops, outputShape, expectedOutput); |
| 9537 | } |
| 9538 | |
| 9539 | |
| 9540 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( |
| 9541 | armnn::IWorkloadFactory &workloadFactory, |
| 9542 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9543 | { |
| 9544 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9545 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9546 | |
| 9547 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9548 | |
| 9549 | std::vector<uint8_t> expectedOutput({ |
| 9550 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9551 | 1, 4, |
| 9552 | 7, 10, |
| 9553 | |
| 9554 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9555 | 2, 5, |
| 9556 | 8, 11, |
| 9557 | |
| 9558 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9559 | 3, 6, |
| 9560 | 9, 12, |
| 9561 | }); |
| 9562 | |
| 9563 | std::vector<unsigned int> blockShape({2, 2}); |
| 9564 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9565 | |
| 9566 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9567 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9568 | crops, outputShape, expectedOutput); |
| 9569 | } |
| 9570 | |
| 9571 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( |
| 9572 | armnn::IWorkloadFactory& workloadFactory, |
| 9573 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9574 | { |
| 9575 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9576 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9577 | |
| 9578 | std::vector<uint8_t> input({ |
| 9579 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9580 | 1, 2, 3, 4 |
| 9581 | }); |
| 9582 | |
| 9583 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9584 | |
| 9585 | std::vector<unsigned int> blockShape({2, 2}); |
| 9586 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9587 | |
| 9588 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9589 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9590 | crops, outputShape, expectedOutput); |
| 9591 | } |
| 9592 | |
| 9593 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( |
| 9594 | armnn::IWorkloadFactory& workloadFactory, |
| 9595 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9596 | { |
| 9597 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9598 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9599 | |
| 9600 | std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); |
| 9601 | |
| 9602 | std::vector<uint8_t> expectedOutput({ |
| 9603 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9604 | 1, 7, |
| 9605 | 2, 8, |
| 9606 | |
| 9607 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9608 | 3, 9, |
| 9609 | 4, 10, |
| 9610 | |
| 9611 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9612 | 5, 11, |
| 9613 | 6, 12, |
| 9614 | }); |
| 9615 | |
| 9616 | std::vector<unsigned int> blockShape({2, 2}); |
| 9617 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9618 | |
| 9619 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9620 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9621 | crops, outputShape, expectedOutput); |
| 9622 | } |
| 9623 | |
| 9624 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( |
| 9625 | armnn::IWorkloadFactory& workloadFactory, |
| 9626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9627 | { |
| 9628 | const unsigned int inputShape[] = {8, 1, 1, 3}; |
| 9629 | const unsigned int outputShape[] = {2, 1, 2, 4}; |
| 9630 | |
| 9631 | std::vector<uint8_t> input({ |
| 9632 | 0, 1, 3, 0, 9, 11, |
| 9633 | 0, 2, 4, 0, 10, 12, |
| 9634 | 0, 5, 7, 0, 13, 15, |
| 9635 | 0, 6, 8, 0, 14, 16 |
| 9636 | }); |
| 9637 | |
| 9638 | std::vector<uint8_t> expectedOutput({ |
| 9639 | 1, 2, 3, 4, |
| 9640 | 5, 6, 7, 8, |
| 9641 | 9, 10, 11, 12, |
| 9642 | 13, 14, 15, 16 |
| 9643 | }); |
| 9644 | |
| 9645 | std::vector<unsigned int> blockShape({2, 2}); |
| 9646 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9647 | |
| 9648 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9649 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9650 | crops, outputShape, expectedOutput); |
| 9651 | } |
| 9652 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9653 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9654 | armnn::IWorkloadFactory& workloadFactory, |
| 9655 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9656 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9657 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9658 | } |
| 9659 | |
| 9660 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9661 | armnn::IWorkloadFactory& workloadFactory, |
| 9662 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9663 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9664 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9665 | } |
| 9666 | |
| 9667 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9668 | armnn::IWorkloadFactory& workloadFactory, |
| 9669 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9670 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9671 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9672 | } |
| 9673 | |
| 9674 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9675 | armnn::IWorkloadFactory& workloadFactory, |
| 9676 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9677 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9678 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9679 | } |
| 9680 | |
| 9681 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 9682 | armnn::IWorkloadFactory& workloadFactory, |
| 9683 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9684 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9685 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9686 | } |
| 9687 | |
| 9688 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 9689 | armnn::IWorkloadFactory& workloadFactory, |
| 9690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9691 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9692 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9693 | } |
| 9694 | |
| 9695 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 9696 | armnn::IWorkloadFactory& workloadFactory, |
| 9697 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9698 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9699 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9700 | } |
| 9701 | |
| 9702 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 9703 | armnn::IWorkloadFactory& workloadFactory, |
| 9704 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9705 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9706 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9707 | } |
| 9708 | |
| 9709 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 9710 | armnn::IWorkloadFactory& workloadFactory, |
| 9711 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9712 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9713 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9714 | } |
| 9715 | |
| 9716 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 9717 | armnn::IWorkloadFactory& workloadFactory, |
| 9718 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9719 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9720 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9721 | } |
| 9722 | |
| 9723 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 9724 | armnn::IWorkloadFactory& workloadFactory, |
| 9725 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9726 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9727 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9728 | } |
| 9729 | |
| 9730 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 9731 | armnn::IWorkloadFactory& workloadFactory, |
| 9732 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9733 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9734 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9735 | } |
| 9736 | |
| 9737 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 9738 | armnn::IWorkloadFactory& workloadFactory, |
| 9739 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9740 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9741 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9742 | } |
| 9743 | |
| 9744 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 9745 | armnn::IWorkloadFactory& workloadFactory, |
| 9746 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9747 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9748 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9749 | } |
| 9750 | |
| 9751 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 9752 | armnn::IWorkloadFactory& workloadFactory, |
| 9753 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9754 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9755 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9756 | } |
| 9757 | |
| 9758 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 9759 | armnn::IWorkloadFactory& workloadFactory, |
| 9760 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9761 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9762 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9763 | } |
| 9764 | |
| 9765 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 9766 | armnn::IWorkloadFactory& workloadFactory, |
| 9767 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9768 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9769 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9770 | } |
| 9771 | |
| 9772 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 9773 | armnn::IWorkloadFactory& workloadFactory, |
| 9774 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9775 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9776 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9777 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9778 | |
| 9779 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 9780 | armnn::IWorkloadFactory& workloadFactory, |
| 9781 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9782 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9783 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9784 | } |
| 9785 | |
| 9786 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 9787 | armnn::IWorkloadFactory& workloadFactory, |
| 9788 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9789 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9790 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9791 | } |
| 9792 | |
| 9793 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 9794 | armnn::IWorkloadFactory& workloadFactory, |
| 9795 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9796 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9797 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9798 | } |
| 9799 | |
| 9800 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 9801 | armnn::IWorkloadFactory& workloadFactory, |
| 9802 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9803 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9804 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9805 | } |
| 9806 | |
| 9807 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 9808 | armnn::IWorkloadFactory& workloadFactory, |
| 9809 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9810 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9811 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9812 | } |
| 9813 | |
| 9814 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 9815 | armnn::IWorkloadFactory& workloadFactory, |
| 9816 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9817 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9818 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9819 | } |
| 9820 | |
| 9821 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 9822 | armnn::IWorkloadFactory& workloadFactory, |
| 9823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9824 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9825 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9826 | } |
| 9827 | |
| 9828 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 9829 | armnn::IWorkloadFactory& workloadFactory, |
| 9830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9831 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9832 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9833 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 9834 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 9835 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 9836 | armnn::IWorkloadFactory& workloadFactory, |
| 9837 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9838 | { |
| 9839 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9840 | } |
| 9841 | |
| 9842 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 9843 | armnn::IWorkloadFactory& workloadFactory, |
| 9844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9845 | { |
| 9846 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9847 | } |
| 9848 | |
| 9849 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 9850 | armnn::IWorkloadFactory& workloadFactory, |
| 9851 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9852 | { |
| 9853 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9854 | } |
| 9855 | |
| 9856 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 9857 | armnn::IWorkloadFactory& workloadFactory, |
| 9858 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9859 | { |
| 9860 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9861 | } |
| 9862 | |
| 9863 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 9864 | armnn::IWorkloadFactory& workloadFactory, |
| 9865 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9866 | { |
| 9867 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9868 | } |
| 9869 | |
| 9870 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 9871 | armnn::IWorkloadFactory& workloadFactory, |
| 9872 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9873 | { |
| 9874 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9875 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 9876 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9877 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9878 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9879 | armnn::IWorkloadFactory& workloadFactory, |
| 9880 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9881 | { |
| 9882 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9883 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9884 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9885 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 9886 | armnn::IWorkloadFactory& workloadFactory, |
| 9887 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9888 | { |
| 9889 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9890 | } |
| 9891 | |
| 9892 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 9893 | armnn::IWorkloadFactory& workloadFactory, |
| 9894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9895 | { |
| 9896 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9897 | } |
| 9898 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9899 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 9900 | armnn::IWorkloadFactory& workloadFactory, |
| 9901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9902 | { |
| 9903 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9904 | } |
| 9905 | |
| 9906 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 9907 | armnn::IWorkloadFactory& workloadFactory, |
| 9908 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9909 | { |
| 9910 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9911 | } |
| 9912 | |
| 9913 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 9914 | armnn::IWorkloadFactory& workloadFactory, |
| 9915 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9916 | { |
| 9917 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9918 | } |