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" |
| 33 | #include "ReshapeTestImpl.hpp" |
| 34 | #include "FullyConnectedTestImpl.hpp" |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 35 | #include "GatherTestImpl.hpp" |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 36 | #include "SpaceToBatchNdTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 37 | #include "SplitterTestImpl.hpp" |
| 38 | #include "SoftmaxTestImpl.hpp" |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 39 | #include "StridedSliceTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 40 | #include "NormTestImpl.hpp" |
| 41 | #include "PermuteTestImpl.hpp" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 42 | #include "LstmTestImpl.hpp" |
| 43 | #include "ConvertFp16ToFp32TestImpl.hpp" |
| 44 | #include "ConvertFp32ToFp16TestImpl.hpp" |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 45 | #include "DebugTestImpl.hpp" |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 46 | #include "DequantizeTestImpl.hpp" |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 47 | #include "QuantizeTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 48 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 49 | // 3-channel 16x8 image used as common input data for a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 50 | static std::vector<float> ConvInput3x8x16({ |
| 51 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 52 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 53 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 54 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 55 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 56 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 57 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 58 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 59 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 60 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 61 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 62 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 63 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 64 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 65 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 66 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 67 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 68 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 69 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 70 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 71 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 72 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 73 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 74 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 |
| 75 | }); |
| 76 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 77 | // 2-channel bias used by a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 78 | static std::vector<float> Bias2({0, 2}); |
| 79 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | // Helper function that returns either Bias2 or an empty vector depending on whether bias is enabled. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 81 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 82 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale, int32_t qOffset) |
| 83 | { |
| 84 | if(biasEnabled) |
| 85 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 86 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 87 | boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(qScale, qOffset, Bias2)); |
| 88 | return bias; |
| 89 | } |
| 90 | else |
| 91 | { |
| 92 | return boost::multi_array<T, 1>(); |
| 93 | } |
| 94 | } |
| 95 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 96 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 97 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 98 | armnn::IWorkloadFactory& workloadFactory, |
| 99 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 100 | float qScale, |
| 101 | int32_t qOffset, |
| 102 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 103 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 104 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 105 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 106 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 107 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 108 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 109 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 110 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 111 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 112 | QuantizedVector<T>(qScale, qOffset, { |
| 113 | 1, 1, 1, |
| 114 | 1, -1, 1, |
| 115 | 1, 1, 1, |
| 116 | 1, 1, 1, |
| 117 | 1, 1, 1, |
| 118 | |
| 119 | 0, 0, 0, |
| 120 | 0, 0, 0, |
| 121 | 0, 0, 0, |
| 122 | 0, 0, 0, |
| 123 | 0, 0, 0, |
| 124 | |
| 125 | 2, 2, 2, |
| 126 | 2, 2, 2, |
| 127 | 2, 2, 2, |
| 128 | 2, 2, 2, |
| 129 | 2, 2, 2, |
| 130 | |
| 131 | |
| 132 | 0, 0, 0, |
| 133 | 0, 0, 0, |
| 134 | 0, 0, 0, |
| 135 | 0, 0, 0, |
| 136 | 0, 0, 0, |
| 137 | |
| 138 | 1, 1, 1, |
| 139 | 1, 1, 1, |
| 140 | 1, 1, 1, |
| 141 | 1, 1, 1, |
| 142 | 1, 1, 1, |
| 143 | |
| 144 | 0, 0, 0, |
| 145 | 0, 0, 0, |
| 146 | 0, 0, 0, |
| 147 | 0, 0, 0, |
| 148 | 0, 0, 0 |
| 149 | }))); |
| 150 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 152 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 154 | QuantizedVector<T>(qScale, qOffset, { |
| 155 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 156 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 157 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 158 | -23.5f, -23.5f, -23.5f, |
| 159 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 160 | -23.5f, -23.5f, -23.5f, |
| 161 | |
| 162 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 163 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 164 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 165 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 166 | }))); |
| 167 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 168 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 169 | workloadFactory, |
| 170 | memoryManager, |
| 171 | input, |
| 172 | kernel, |
| 173 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 174 | expectedOutput, |
| 175 | qScale, |
| 176 | qOffset, |
| 177 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 178 | } |
| 179 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 180 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 181 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 182 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 183 | armnn::IWorkloadFactory& workloadFactory, |
| 184 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 185 | float qScale, |
| 186 | int32_t qOffset, |
| 187 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 188 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 189 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 190 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 193 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 194 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 195 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 196 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 197 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 198 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 199 | QuantizedVector<T>(qScale, qOffset, { |
| 200 | 1, 1, 1, |
| 201 | 1, -1, 1, |
| 202 | 1, 1, 1, |
| 203 | |
| 204 | 0, 0, 0, |
| 205 | 0, 0, 0, |
| 206 | 0, 0, 0, |
| 207 | |
| 208 | 2, 2, 2, |
| 209 | 2, 2, 2, |
| 210 | 2, 2, 2, |
| 211 | |
| 212 | |
| 213 | 0, 0, 0, |
| 214 | 0, 0, 0, |
| 215 | 0, 0, 0, |
| 216 | |
| 217 | 1, 1, 1, |
| 218 | 1, 1, 1, |
| 219 | 1, 1, 1, |
| 220 | |
| 221 | 0, 0, 0, |
| 222 | 0, 0, 0, |
| 223 | 0, 0, 0 |
| 224 | }))); |
| 225 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 226 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 227 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 229 | QuantizedVector<T>(qScale, qOffset, { |
| 230 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 231 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 232 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 233 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 234 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 235 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 236 | |
| 237 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 238 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 239 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 240 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 241 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 242 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 243 | }))); |
| 244 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 245 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 246 | workloadFactory, |
| 247 | memoryManager, |
| 248 | input, |
| 249 | kernel, |
| 250 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 251 | expectedOutput, |
| 252 | qScale, |
| 253 | qOffset, |
| 254 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 255 | } |
| 256 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 257 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 258 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 259 | armnn::IWorkloadFactory& workloadFactory, |
| 260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 261 | float qScale, |
| 262 | int32_t qOffset, |
| 263 | bool biasEnabled, |
| 264 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 265 | { |
| 266 | // Use common single-batch 5x5 image. |
| 267 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 268 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 269 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 270 | { |
| 271 | 1, 5, 2, 3, |
| 272 | 8, 7, 3, 6, |
| 273 | 3, 3, 9, 1 |
| 274 | }); |
| 275 | |
| 276 | |
| 277 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 278 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 279 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 280 | 4, 5, 6, |
| 281 | 0, 0, 0, |
| 282 | 3, 2, 1 |
| 283 | }); |
| 284 | |
| 285 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 286 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 287 | |
| 288 | const std::vector<float> outputData = |
| 289 | { |
| 290 | 23, 41, 33, 21, |
| 291 | 44, 65, 76, 52, |
| 292 | 82, 85, 79, 42 |
| 293 | }; |
| 294 | |
| 295 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 296 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 297 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 298 | workloadFactory, |
| 299 | memoryManager, |
| 300 | input, |
| 301 | kernel, |
| 302 | boost::multi_array<T, 1>(), |
| 303 | expectedOutput, |
| 304 | dataLayout, |
| 305 | qScale, |
| 306 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 307 | } |
| 308 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 309 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 310 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 311 | armnn::IWorkloadFactory& workloadFactory, |
| 312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 313 | float qScale, |
| 314 | int32_t qOffset, |
| 315 | bool biasEnabled, |
| 316 | const armnn::DataLayout& dataLayout) |
| 317 | { |
| 318 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 319 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 320 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 321 | { |
| 322 | 1, 5, 2, 3, 5, |
| 323 | 8, 7, 3, 6, 3, |
| 324 | 3, 3, 9, 1, 9, |
| 325 | 4, 1, 8, 1, 3, |
| 326 | 6, 8, 1, 9, 2 |
| 327 | }); |
| 328 | |
| 329 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 330 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 331 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 332 | { |
| 333 | 4, 5, 6, |
| 334 | 0, 0, 0, |
| 335 | 3, 2, 1 |
| 336 | }); |
| 337 | |
| 338 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 339 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 340 | |
| 341 | const std::vector<T> outputData = |
| 342 | { |
| 343 | 23, 33, 24, |
| 344 | 91, 99, 48, |
| 345 | 26, 50, 19 |
| 346 | }; |
| 347 | |
| 348 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 349 | |
| 350 | uint32_t padLeft = 1; |
| 351 | uint32_t padTop = 1; |
| 352 | uint32_t padRight = 1; |
| 353 | uint32_t padBottom = 1; |
| 354 | uint32_t strideX = 2; |
| 355 | uint32_t strideY = 2; |
| 356 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 357 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 358 | workloadFactory, |
| 359 | memoryManager, |
| 360 | input, |
| 361 | kernel, |
| 362 | boost::multi_array<T, 1>(), |
| 363 | expectedOutput, |
| 364 | dataLayout, |
| 365 | qScale, |
| 366 | qOffset, |
| 367 | padLeft, |
| 368 | padTop, |
| 369 | padRight, |
| 370 | padBottom, |
| 371 | strideX, |
| 372 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 373 | } |
| 374 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 375 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 376 | armnn::IWorkloadFactory& workloadFactory, |
| 377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 378 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 379 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 381 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 382 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 383 | } |
| 384 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 385 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 386 | armnn::IWorkloadFactory& workloadFactory, |
| 387 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 388 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 389 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 390 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 391 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 392 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | } |
| 394 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 395 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 396 | armnn::IWorkloadFactory& workloadFactory, |
| 397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 398 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 399 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 401 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 402 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 403 | } |
| 404 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 406 | armnn::IWorkloadFactory& workloadFactory, |
| 407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 408 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 410 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 411 | workloadFactory, |
| 412 | memoryManager, |
| 413 | 0.f, |
| 414 | 0, |
| 415 | biasEnabled, |
| 416 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 417 | } |
| 418 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 419 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 420 | armnn::IWorkloadFactory& workloadFactory, |
| 421 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 422 | bool biasEnabled, |
| 423 | const armnn::DataLayout layout) |
| 424 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 425 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 426 | workloadFactory, |
| 427 | memoryManager, |
| 428 | 0.f, |
| 429 | 0, |
| 430 | biasEnabled, |
| 431 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 432 | } |
| 433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 434 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 435 | armnn::IWorkloadFactory& workloadFactory, |
| 436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 437 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 438 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 440 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 441 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 442 | } |
| 443 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 444 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 445 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 446 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 447 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 448 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 449 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 450 | float qScale, |
| 451 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 453 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 454 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 455 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 456 | QuantizedVector<T>(qScale, qOffset, { |
| 457 | 11,21,31, |
| 458 | 12,22,32, |
| 459 | 13,23,33 |
| 460 | }))); |
| 461 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 462 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 463 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 464 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 465 | QuantizedVector<T>(qScale, qOffset, { |
| 466 | -11,-21, |
| 467 | -12,-22, |
| 468 | }))); |
| 469 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 470 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 471 | // Manually calculated like this: |
| 472 | //[-11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ..] |
| 473 | //[-11*0 -21*0 -12*0 -22*11 ; -11*0 -21*0 -12*11 -22*21 ; -11*0 -21*0 -12*21 -22*31 ; -11*0 -21*0 -12*31 -22*0 ..] |
| 474 | //[-11*0 -21*11 -12*0 -22*12 ; -11*11 -21*21 -12*12 -22*22 ; -11*21 -21*31 -12*22 -22*32 ; -11*31 -21*0 -12*32 -22*0 ..] |
| 475 | //[-11*0 -21*12 -12*0 -22*13 ; -11*12 -21*22 -12*13 -22*23 ; -11*22 -21*32 -12*23 -22*33 ; -11*32 -21*0 -12*33 -22*0 ..] |
| 476 | //[-11*0 -21*13 -12*0 -22*0 ; -11*13 -21*23 -12*0 -22*0 ; -11*23 -21*33 -12*0 -22*0 ; -11*33 -21*0 -12*0 -22*0 ..] |
| 477 | //[-11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ; -11*0 -21*0 -12*0 -22*0 ..] |
| 478 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 479 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 480 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 481 | QuantizedVector<T>(qScale, qOffset, { |
| 482 | 0, 0, 0, 0, 0, 0, |
| 483 | -242, -594, -934, -372, 0, 0, |
| 484 | -495, -1190, -1850, -725, 0, 0, |
| 485 | -538, -1256, -1916, -748, 0, 0, |
| 486 | -273, -626, -946, -363, 0, 0, |
| 487 | 0, 0, 0, 0, 0, 0, |
| 488 | 0, 0, 0, 0, 0, 0, |
| 489 | 0, 0, 0, 0, 0, 0 |
| 490 | }))); |
| 491 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 492 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 493 | workloadFactory, |
| 494 | memoryManager, |
| 495 | input, |
| 496 | kernel, |
| 497 | GetBias2<ArmnnBType>(false, qScale, qOffset), |
| 498 | expectedOutput, |
| 499 | qScale, |
| 500 | qOffset, |
| 501 | layout, |
| 502 | 1, // Padding left. |
| 503 | 2, // Padding top. |
| 504 | 3, // Padding right. |
| 505 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | } |
| 507 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 508 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 509 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 510 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 511 | armnn::IWorkloadFactory& workloadFactory, |
| 512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 513 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 514 | float qScale, |
| 515 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 516 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 517 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 518 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 519 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 520 | QuantizedVector<T>(qScale, qOffset, { |
| 521 | 11,21,31,41,51, |
| 522 | 12,22,32,42,52, |
| 523 | 13,23,33,43,53, |
| 524 | 14,24,34,44,54, |
| 525 | 15,25,35,45,55, |
| 526 | }))); |
| 527 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 528 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 529 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 530 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 531 | QuantizedVector<T>(qScale, qOffset, { |
| 532 | -11,-21,-31,-41, |
| 533 | -12,-22,-32,-42, |
| 534 | -13,-23,-33,-43, |
| 535 | -14,-24,-34,-44, |
| 536 | }))); |
| 537 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 538 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 539 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 540 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 541 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 542 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 543 | -7140, -10580, -13940, -9300, -5230, |
| 544 | -9590, -14120, -18520, -12290, -6860, |
| 545 | -9980, -14560, -18960, -12560, -7000, |
| 546 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 547 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 548 | }))); |
| 549 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 550 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 551 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 552 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 553 | input, |
| 554 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 555 | GetBias2<ArmnnBType>(false, qScale, qOffset), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 556 | expectedOutput, |
| 557 | qScale, |
| 558 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 559 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 560 | 1, // Padding left. |
| 561 | 1, // Padding top. |
| 562 | 2, // Padding right. |
| 563 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 564 | } |
| 565 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 566 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 567 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 568 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 569 | armnn::IWorkloadFactory& workloadFactory, |
| 570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 571 | float qScale, |
| 572 | int32_t qOffset, |
| 573 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 574 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 575 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 576 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 577 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 578 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 579 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 580 | 0, 1, 2, 3, 4, |
| 581 | 5, 6, 7, 8, 9, |
| 582 | 10, 11, 12, 13, 14, |
| 583 | 15, 16, 17, 18, 19, |
| 584 | 20, 21, 22, 23, 24, |
| 585 | |
| 586 | 25, 26, 27, 28, 29, |
| 587 | 30, 31, 32, 33, 34, |
| 588 | 35, 36, 37, 38, 39, |
| 589 | 40, 41, 42, 43, 44, |
| 590 | 45, 46, 47, 48, 49 |
| 591 | }))); |
| 592 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 593 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 594 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 595 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 596 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 597 | 32, 31, 30, 29, |
| 598 | 28, 27, 26, 25, |
| 599 | 24, 23, 22, 21, |
| 600 | 20, 19, 18, 17, |
| 601 | |
| 602 | 16, 15, 14, 13, |
| 603 | 12, 11, 10, 9, |
| 604 | 8, 7, 6, 5, |
| 605 | 4, 3, 2, 1 |
| 606 | }))); |
| 607 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 608 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 609 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 610 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 611 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 612 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 613 | 1062, 1580, 1850, 1530, 1117, |
| 614 | 2140, 3108, 3500, 2842, 2042, |
| 615 | 3580, 5068, 5460, 4342, 3062, |
| 616 | 3618, 5072, 5390, 4248, 2971, |
| 617 | 3074, 4282, 4510, 3533, 2457, |
| 618 | 1550, 2284, 2362, 1955, 1428, |
| 619 | 2910, 4206, 4342, 3528, 2536, |
| 620 | 3390, 4886, 5022, 4068, 2916, |
| 621 | 3566, 5056, 5182, 4133, 2922, |
| 622 | 3100, 4352, 4452, 3517, 2465 |
| 623 | }))); |
| 624 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 625 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 626 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 627 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 628 | input, |
| 629 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 630 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 631 | expectedOutput, |
| 632 | qScale, |
| 633 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 634 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 635 | 1, // Padding left. |
| 636 | 1, // Padding top. |
| 637 | 2, // Padding right. |
| 638 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 639 | 1, // strideX |
| 640 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 641 | } |
| 642 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 643 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 644 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 645 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 646 | armnn::IWorkloadFactory& workloadFactory, |
| 647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 648 | float qScale, |
| 649 | int32_t qOffset, |
| 650 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 651 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 652 | armnn::TensorInfo inputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 653 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 654 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 655 | 0, 25, |
| 656 | 1, 26, |
| 657 | 2, 27, |
| 658 | 3, 28, |
| 659 | 4, 29, |
| 660 | |
| 661 | 5, 30, |
| 662 | 6, 31, |
| 663 | 7, 32, |
| 664 | 8, 33, |
| 665 | 9, 34, |
| 666 | |
| 667 | 10, 35, |
| 668 | 11, 36, |
| 669 | 12, 37, |
| 670 | 13, 38, |
| 671 | 14, 39, |
| 672 | |
| 673 | 15, 40, |
| 674 | 16, 41, |
| 675 | 17, 42, |
| 676 | 18, 43, |
| 677 | 19, 44, |
| 678 | |
| 679 | 20, 45, |
| 680 | 21, 46, |
| 681 | 22, 47, |
| 682 | 23, 48, |
| 683 | 24, 49 |
| 684 | }))); |
| 685 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 686 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 687 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 688 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 689 | 32, 31, 30, 29, |
| 690 | 28, 27, 26, 25, |
| 691 | 24, 23, 22, 21, |
| 692 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 693 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 694 | 16, 15, 14, 13, |
| 695 | 12, 11, 10, 9, |
| 696 | 8, 7, 6, 5, |
| 697 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 698 | }))); |
| 699 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 700 | armnn::TensorInfo outputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 701 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 702 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 703 | 1062, 1550, |
| 704 | 1580, 2284, |
| 705 | 1850, 2362, |
| 706 | 1530, 1955, |
| 707 | 1117, 1428, |
| 708 | |
| 709 | 2140, 2910, |
| 710 | 3108, 4206, |
| 711 | 3500, 4342, |
| 712 | 2842, 3528, |
| 713 | 2042, 2536, |
| 714 | |
| 715 | 3580, 3390, |
| 716 | 5068, 4886, |
| 717 | 5460, 5022, |
| 718 | 4342, 4068, |
| 719 | 3062, 2916, |
| 720 | |
| 721 | 3618, 3566, |
| 722 | 5072, 5056, |
| 723 | 5390, 5182, |
| 724 | 4248, 4133, |
| 725 | 2971, 2922, |
| 726 | |
| 727 | 3074, 3100, |
| 728 | 4282, 4352, |
| 729 | 4510, 4452, |
| 730 | 3533, 3517, |
| 731 | 2457, 2465 |
| 732 | }))); |
| 733 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 734 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 735 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 736 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 737 | input, |
| 738 | kernel, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 739 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 740 | expectedOutput, |
| 741 | qScale, |
| 742 | qOffset, |
| 743 | 1, // Padding left. |
| 744 | 1, // Padding top. |
| 745 | 2, // Padding right. |
| 746 | 2, // Padding bottom. |
| 747 | 1, // strideX |
| 748 | 1); // strideY |
| 749 | } |
| 750 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 751 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 752 | typename T = armnn::ResolveType<ArmnnType>> |
| 753 | LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon( |
| 754 | armnn::IWorkloadFactory& workloadFactory, |
| 755 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 756 | float qScale, |
| 757 | int32_t qOffset, |
| 758 | bool biasEnabled) |
| 759 | { |
| 760 | armnn::TensorInfo inputTensorInfo({ 1, 9, 9, 1}, ArmnnType); |
| 761 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 762 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 763 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 764 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 765 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 766 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 767 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 768 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 769 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 770 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 771 | 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 772 | }))); |
| 773 | |
| 774 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 775 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 776 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 777 | 1, 2, 3, |
| 778 | 4, 5, 6, |
| 779 | 7, 8, 9 |
| 780 | }))); |
| 781 | |
| 782 | uint32_t padLeft = 0; |
| 783 | uint32_t padTop = 0; |
| 784 | uint32_t padRight = 0; |
| 785 | uint32_t padBottom = 0; |
| 786 | uint32_t strideX = 1; |
| 787 | uint32_t strideY = 1; |
| 788 | uint32_t dilationX = 3; |
| 789 | uint32_t dilationY = 3; |
| 790 | |
| 791 | // Since the dilation rate is 3 this will reduce the size of the output from 9x9 to 3x3 of all 5s. |
| 792 | armnn::TensorInfo outputTensorInfo({ 1, 3, 3, 1}, ArmnnType); |
| 793 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 794 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 795 | 5, 5, 5, |
| 796 | 5, 5, 5, |
| 797 | 5, 5, 5 |
| 798 | }))); |
| 799 | |
| 800 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 801 | workloadFactory, |
| 802 | memoryManager, |
| 803 | input, |
| 804 | kernel, |
| 805 | GetBias2<ArmnnBType>(biasEnabled, qScale, qOffset), |
| 806 | expectedOutput, |
| 807 | qScale, |
| 808 | qOffset, |
| 809 | padLeft, |
| 810 | padTop, |
| 811 | padRight, |
| 812 | padBottom, |
| 813 | strideX, |
| 814 | strideY, |
| 815 | dilationX, |
| 816 | dilationY); |
| 817 | |
| 818 | } |
| 819 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 820 | LayerTestResult<float, 4> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 821 | Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 822 | armnn::IWorkloadFactory& workloadFactory, |
| 823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 824 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 825 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 826 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 827 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 828 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 829 | } |
| 830 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 831 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 832 | armnn::IWorkloadFactory& workloadFactory, |
| 833 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 834 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 835 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 836 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 837 | workloadFactory, memoryManager, layout, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 838 | } |
| 839 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 840 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 841 | armnn::IWorkloadFactory& workloadFactory, |
| 842 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 843 | bool biasEnabled, |
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 DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 847 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 848 | } |
| 849 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 850 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 851 | armnn::IWorkloadFactory& workloadFactory, |
| 852 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 853 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 854 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 855 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 856 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 857 | } |
| 858 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 859 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 860 | armnn::IWorkloadFactory& workloadFactory, |
| 861 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 862 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 863 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 864 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 865 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 866 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 867 | } |
| 868 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 869 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 870 | armnn::IWorkloadFactory& workloadFactory, |
| 871 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 872 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 873 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 874 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 875 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 876 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 877 | } |
| 878 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 879 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 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 DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 886 | workloadFactory, memoryManager, 0.5f, 50, 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<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 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) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 894 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 895 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 896 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 897 | } |
| 898 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 899 | LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest( |
| 900 | armnn::IWorkloadFactory& workloadFactory, |
| 901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 902 | { |
| 903 | return SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 904 | workloadFactory, |
| 905 | memoryManager, |
| 906 | 0.f, |
| 907 | 0, |
| 908 | false); |
| 909 | } |
| 910 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 911 | LayerTestResult<float, 4> Convolution1dTest( |
| 912 | armnn::IWorkloadFactory& workloadFactory, |
| 913 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 914 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 915 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 916 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 917 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 918 | } |
| 919 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 920 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 921 | armnn::IWorkloadFactory& workloadFactory, |
| 922 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 923 | bool biasEnabled) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 924 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 925 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 926 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 927 | } |
| 928 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 929 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 930 | armnn::IWorkloadFactory& workloadFactory, |
| 931 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 932 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 933 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 934 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 935 | workloadFactory, memoryManager, refWorkloadFactory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 936 | } |
| 937 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 938 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 939 | armnn::IWorkloadFactory& workloadFactory, |
| 940 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 941 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 942 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 943 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 944 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 945 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 946 | } |
| 947 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 948 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 949 | armnn::IWorkloadFactory& workloadFactory, |
| 950 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 951 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 952 | const armnn::DataLayout layout) |
| 953 | { |
| 954 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 955 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 956 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 957 | |
| 958 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 959 | armnn::IWorkloadFactory& workloadFactory, |
| 960 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 961 | { |
| 962 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 963 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 964 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 965 | } |
| 966 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 967 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 968 | armnn::IWorkloadFactory& workloadFactory, |
| 969 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 970 | { |
| 971 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 972 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 973 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 974 | } |
| 975 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 976 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 977 | armnn::IWorkloadFactory& workloadFactory, |
| 978 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 979 | { |
| 980 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 981 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 982 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 983 | } |
| 984 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 985 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 986 | armnn::IWorkloadFactory& workloadFactory, |
| 987 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 988 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 989 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 990 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 991 | } |
| 992 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 993 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 994 | armnn::IWorkloadFactory& workloadFactory, |
| 995 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 996 | float beta) |
| 997 | { |
| 998 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 999 | } |
| 1000 | |
| 1001 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 1002 | armnn::IWorkloadFactory& workloadFactory, |
| 1003 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1004 | float beta) |
| 1005 | { |
| 1006 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1007 | } |
| 1008 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1009 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 1010 | armnn::IWorkloadFactory& workloadFactory, |
| 1011 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1012 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1013 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1014 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1015 | } |
| 1016 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1017 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 1018 | armnn::IWorkloadFactory& workloadFactory, |
| 1019 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1020 | float beta) |
| 1021 | { |
| 1022 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1023 | } |
| 1024 | |
| 1025 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 1026 | armnn::IWorkloadFactory& workloadFactory, |
| 1027 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1028 | float beta) |
| 1029 | { |
| 1030 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1031 | } |
| 1032 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1033 | LayerTestResult<float,4> CompareNormalizationTest( |
| 1034 | armnn::IWorkloadFactory& workloadFactory, |
| 1035 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1036 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1037 | armnn::NormalizationAlgorithmChannel normChannel, |
| 1038 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1039 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1040 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1041 | } |
| 1042 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1043 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 1044 | armnn::IWorkloadFactory& workloadFactory, |
| 1045 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1046 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1047 | float beta) |
| 1048 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1049 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 1050 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1051 | } |
| 1052 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1053 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 1054 | armnn::IWorkloadFactory& workloadFactory, |
| 1055 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1056 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1057 | float beta) |
| 1058 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1059 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1060 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1061 | } |
| 1062 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1063 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 1064 | armnn::IWorkloadFactory& workloadFactory, |
| 1065 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1066 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1067 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1068 | } |
| 1069 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1070 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 1071 | armnn::IWorkloadFactory& workloadFactory, |
| 1072 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1073 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1074 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1075 | } |
| 1076 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1077 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 1078 | armnn::IWorkloadFactory& workloadFactory, |
| 1079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1080 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1081 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1082 | } |
| 1083 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1084 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 1085 | armnn::IWorkloadFactory& workloadFactory, |
| 1086 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1087 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1088 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1089 | } |
| 1090 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1091 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1092 | armnn::IWorkloadFactory& workloadFactory, |
| 1093 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1094 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1095 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1096 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1097 | { 2., 3., 3., 4. })); |
| 1098 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1099 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1100 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1101 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1102 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1103 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1104 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1105 | } |
| 1106 | |
| 1107 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1108 | armnn::IWorkloadFactory& workloadFactory, |
| 1109 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1110 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1111 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1112 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1113 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1114 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 1115 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1116 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1117 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1118 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1119 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1120 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1121 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1122 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1123 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 1124 | 0.02168f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1125 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>( |
| 1126 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1127 | } |
| 1128 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1129 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 1130 | armnn::IWorkloadFactory& workloadFactory, |
| 1131 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1132 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1133 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1134 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1135 | {2., 3., 3., 4.})); |
| 1136 | |
| 1137 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1138 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1139 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1140 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1141 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 1142 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1143 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1144 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1145 | } |
| 1146 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1147 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionTest( |
| 1148 | armnn::IWorkloadFactory& workloadFactory, |
| 1149 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1150 | { |
| 1151 | const float qScale = 1.0f; |
| 1152 | const int32_t qOffset = 0; |
| 1153 | |
| 1154 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1155 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1156 | |
| 1157 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1158 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1159 | std::vector<float>{2., 3., 3., 4.})); |
| 1160 | |
| 1161 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1162 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1163 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1164 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1165 | |
| 1166 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1167 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1168 | |
| 1169 | } |
| 1170 | |
| 1171 | LayerTestResult<int16_t, 2> LstmLayerInt16WithCifgWithPeepholeNoProjectionTest( |
| 1172 | armnn::IWorkloadFactory& workloadFactory, |
| 1173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1174 | { |
| 1175 | const float qScale = 1.0f; |
| 1176 | const int32_t qOffset = 0; |
| 1177 | |
| 1178 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1179 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1180 | |
| 1181 | armnn::TensorInfo inputDesc({ 2, 2 }, datatype); |
| 1182 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1183 | std::vector<float>({ 2., 3., 3., 4. }))); |
| 1184 | |
| 1185 | armnn::TensorInfo outputDesc({ 2, 4 }, datatype); |
| 1186 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1187 | qOffset, std::vector<float>( |
| 1188 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1189 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}))); |
| 1190 | |
| 1191 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>( |
| 1192 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1193 | } |
| 1194 | |
| 1195 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgWithPeepholeWithProjectionTest( |
| 1196 | armnn::IWorkloadFactory& workloadFactory, |
| 1197 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1198 | { |
| 1199 | const float qScale = 2.0f; |
| 1200 | const int32_t qOffset = 0; |
| 1201 | |
| 1202 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1203 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1204 | |
| 1205 | armnn::TensorInfo inputDesc({ 2, 5 }, datatype); |
| 1206 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1207 | qOffset, std::vector<float>( |
| 1208 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1209 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}))); |
| 1210 | |
| 1211 | armnn::TensorInfo outputDesc({ 2, 16 }, datatype); |
| 1212 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1213 | qOffset, std::vector<float>( |
| 1214 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1215 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1216 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1217 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1218 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1219 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, 0.02168f}))); |
| 1220 | |
| 1221 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>( |
| 1222 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1223 | } |
| 1224 | |
| 1225 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest( |
| 1226 | armnn::IWorkloadFactory& workloadFactory, |
| 1227 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1228 | { |
| 1229 | const float qScale = 1.0f; |
| 1230 | const int32_t qOffset = 0; |
| 1231 | |
| 1232 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; // datatype & constants set to QSymm16 |
| 1233 | |
| 1234 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1235 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1236 | qOffset, std::vector<float>{2., 3., 3., 4.})); |
| 1237 | |
| 1238 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1239 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1240 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1241 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1242 | |
| 1243 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1244 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype); |
| 1245 | } |
| 1246 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 1247 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1248 | armnn::IWorkloadFactory& workloadFactory, |
| 1249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1250 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1251 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1252 | unsigned int outputHeight = 6; |
| 1253 | unsigned int outputChannels = 3; |
| 1254 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1255 | unsigned int inputWidth1 = 3; |
| 1256 | unsigned int inputHeight1 = 6; |
| 1257 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1258 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1259 | unsigned int inputWidth2 = 3; |
| 1260 | unsigned int inputHeight2 = 6; |
| 1261 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1262 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1263 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1264 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 1265 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 1266 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1267 | |
| 1268 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 1269 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1270 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1271 | { |
| 1272 | 1.0f, 2.0f, 3.0f, |
| 1273 | 4.0f, 5.0f, 6.0f, |
| 1274 | 7.0f, 8.0f, 9.0f, |
| 1275 | 10.0f, 11.0f, 12.0f, |
| 1276 | 13.0f, 14.0f, 15.0f, |
| 1277 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1278 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1279 | 19.0f, 20.0f, 21.0f, |
| 1280 | 22.0f, 23.0f, 24.0f, |
| 1281 | 25.0f, 26.0f, 27.0f, |
| 1282 | 28.0f, 29.0f, 30.0f, |
| 1283 | 31.0f, 32.0f, 33.0f, |
| 1284 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1285 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1286 | 37.0f, 38.0f, 39.0f, |
| 1287 | 40.0f, 41.0f, 42.0f, |
| 1288 | 43.0f, 44.0f, 45.0f, |
| 1289 | 46.0f, 47.0f, 48.0f, |
| 1290 | 49.0f, 50.0f, 51.0f, |
| 1291 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1292 | }) |
| 1293 | ); |
| 1294 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1295 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 1296 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1297 | 1.0f, 2.0f, 3.0f, |
| 1298 | 4.0f, 5.0f, 6.0f, |
| 1299 | 7.0f, 8.0f, 9.0f, |
| 1300 | 10.0f, 11.0f, 12.0f, |
| 1301 | 13.0f, 14.0f, 15.0f, |
| 1302 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1303 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1304 | 19.0f, 20.0f, 21.0f, |
| 1305 | 22.0f, 23.0f, 24.0f, |
| 1306 | 25.0f, 26.0f, 27.0f, |
| 1307 | 28.0f, 29.0f, 30.0f, |
| 1308 | 31.0f, 32.0f, 33.0f, |
| 1309 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1310 | }) |
| 1311 | ); |
| 1312 | |
| 1313 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 1314 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1315 | 37.0f, 38.0f, 39.0f, |
| 1316 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1317 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1318 | 46.0f, 47.0f, 48.0f, |
| 1319 | 49.0f, 50.0f, 51.0f, |
| 1320 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1321 | }) |
| 1322 | ); |
| 1323 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1324 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1325 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 1326 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1327 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1328 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 1329 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1330 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1331 | |
| 1332 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 1333 | |
| 1334 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 1335 | subTensorsSupported ? |
| 1336 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 1337 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1338 | |
| 1339 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 1340 | subTensorsSupported ? |
| 1341 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 1342 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1343 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1344 | armnn::MergerQueueDescriptor data; |
| 1345 | armnn::WorkloadInfo info; |
| 1346 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1347 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1348 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1349 | |
| 1350 | data.m_ViewOrigins.push_back(window1); |
| 1351 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1352 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 1353 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1354 | |
| 1355 | inputHandle1->Allocate(); |
| 1356 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1357 | outputHandle->Allocate(); |
| 1358 | |
| 1359 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 1360 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1361 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1362 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1363 | workload->Execute(); |
| 1364 | |
| 1365 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 1366 | |
| 1367 | return ret; |
| 1368 | } |
| 1369 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1370 | LayerTestResult<float,4> AdditionTest( |
| 1371 | armnn::IWorkloadFactory& workloadFactory, |
| 1372 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1373 | { |
| 1374 | unsigned int batchSize = 2; |
| 1375 | unsigned int channels = 2; |
| 1376 | unsigned int height = 2; |
| 1377 | unsigned int width = 3; |
| 1378 | |
| 1379 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1380 | armnn::TensorInfo outputTensorInfo; |
| 1381 | |
| 1382 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1383 | |
| 1384 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1385 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1386 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1387 | |
| 1388 | |
| 1389 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 1390 | { |
| 1391 | 0.0f, 2.0f, 1.0f, |
| 1392 | 0.2f, 1.0f, 2.0f, |
| 1393 | |
| 1394 | 1.0f, 2.0f, 1.0f, |
| 1395 | 0.2f, 1.0f, 2.0f, |
| 1396 | |
| 1397 | 0.0f, 2.0f, 1.0f, |
| 1398 | 4.2f, 1.0f, 2.0f, |
| 1399 | |
| 1400 | 0.0f, 0.0f, 1.0f, |
| 1401 | 0.2f, 1.0f, 2.0f, |
| 1402 | })); |
| 1403 | |
| 1404 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 1405 | { |
| 1406 | 1.0f, 2.0f, 1.0f, |
| 1407 | 0.0f, 1.0f, 2.0f, |
| 1408 | |
| 1409 | 1.0f, 2.0f, -2.0f, |
| 1410 | 0.2f, 1.0f, 2.0f, |
| 1411 | |
| 1412 | 0.0f, 2.0f, 1.0f, |
| 1413 | 4.2f, 0.0f, -3.0f, |
| 1414 | |
| 1415 | 0.0f, 0.0f, 1.0f, |
| 1416 | 0.7f, 1.0f, 5.0f, |
| 1417 | })); |
| 1418 | |
| 1419 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1420 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 1421 | { |
| 1422 | 1.0f, 4.0f, 2.0f, |
| 1423 | 0.2f, 2.0f, 4.0f, |
| 1424 | |
| 1425 | 2.0f, 4.0f, -1.0f, |
| 1426 | 0.4f, 2.0f, 4.0f, |
| 1427 | |
| 1428 | 0.0f, 4.0f, 2.0f, |
| 1429 | 8.4f, 1.0f, -1.0f, |
| 1430 | |
| 1431 | 0.0f, 0.0f, 2.0f, |
| 1432 | 0.9f, 2.0f, 7.0f, |
| 1433 | })); |
| 1434 | |
| 1435 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1436 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1437 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1438 | |
| 1439 | armnn::AdditionQueueDescriptor data; |
| 1440 | armnn::WorkloadInfo info; |
| 1441 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1442 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1443 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1444 | |
| 1445 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1446 | |
| 1447 | inputHandle1->Allocate(); |
| 1448 | inputHandle2->Allocate(); |
| 1449 | outputHandle->Allocate(); |
| 1450 | |
| 1451 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1452 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1453 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1454 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1455 | workload->Execute(); |
| 1456 | |
| 1457 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1458 | |
| 1459 | return ret; |
| 1460 | } |
| 1461 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1462 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1463 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 1464 | armnn::IWorkloadFactory& workloadFactory, |
| 1465 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1466 | float qScale, |
| 1467 | int32_t qOffset) |
| 1468 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1469 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 1470 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 1471 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1472 | |
| 1473 | if (armnn::IsQuantizedType<T>()) |
| 1474 | { |
| 1475 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1476 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1477 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1478 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1479 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1480 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1481 | } |
| 1482 | |
| 1483 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1484 | { |
| 1485 | 0.0f, |
| 1486 | 1.0f, |
| 1487 | |
| 1488 | 2.0f, |
| 1489 | 3.0f, |
| 1490 | |
| 1491 | 4.0f, |
| 1492 | 5.0f, |
| 1493 | })); |
| 1494 | |
| 1495 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1496 | { |
| 1497 | 0.5f, 1.5f, 2.5f, |
| 1498 | 3.5f, 4.5f, 5.5f, |
| 1499 | })); |
| 1500 | |
| 1501 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1502 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1503 | { |
| 1504 | 0.5f, 1.5f, 2.5f, |
| 1505 | 4.5f, 5.5f, 6.5f, |
| 1506 | |
| 1507 | 2.5f, 3.5f, 4.5f, |
| 1508 | 6.5f, 7.5f, 8.5f, |
| 1509 | |
| 1510 | 4.5f, 5.5f, 6.5f, |
| 1511 | 8.5f, 9.5f, 10.5f, |
| 1512 | })); |
| 1513 | |
| 1514 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1515 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1516 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1517 | |
| 1518 | armnn::AdditionQueueDescriptor data; |
| 1519 | armnn::WorkloadInfo info; |
| 1520 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1521 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1522 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1523 | |
| 1524 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1525 | |
| 1526 | inputHandle1->Allocate(); |
| 1527 | inputHandle2->Allocate(); |
| 1528 | outputHandle->Allocate(); |
| 1529 | |
| 1530 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1531 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1532 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1533 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1534 | workload->Execute(); |
| 1535 | |
| 1536 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1537 | |
| 1538 | return ret; |
| 1539 | } |
| 1540 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1541 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1542 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 1543 | armnn::IWorkloadFactory& workloadFactory, |
| 1544 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1545 | float qScale, |
| 1546 | int32_t qOffset) |
| 1547 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1548 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 1549 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 1550 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1551 | |
| 1552 | if (armnn::IsQuantizedType<T>()) |
| 1553 | { |
| 1554 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1555 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1556 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1557 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1558 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1559 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1560 | } |
| 1561 | |
| 1562 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1563 | { |
| 1564 | 0.0f, 1.0f, 2.0f, |
| 1565 | 3.0f, 4.0f, 5.0f, |
| 1566 | 6.0f, 7.0f, 8.0f, |
| 1567 | 9.0f, 10.0f, 11.0f, |
| 1568 | 12.0f, 13.0f, 14.0f, |
| 1569 | 15.0f, 16.0f, 17.0f, |
| 1570 | })); |
| 1571 | |
| 1572 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1573 | { |
| 1574 | 0.5f, |
| 1575 | })); |
| 1576 | |
| 1577 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1578 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1579 | { |
| 1580 | 0.5f, 1.5f, 2.5f, |
| 1581 | 3.5f, 4.5f, 5.5f, |
| 1582 | 6.5f, 7.5f, 8.5f, |
| 1583 | 9.5f, 10.5f, 11.5f, |
| 1584 | 12.5f, 13.5f, 14.5f, |
| 1585 | 15.5f, 16.5f, 17.5f, |
| 1586 | })); |
| 1587 | |
| 1588 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1589 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1590 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1591 | |
| 1592 | armnn::AdditionQueueDescriptor data; |
| 1593 | armnn::WorkloadInfo info; |
| 1594 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1595 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1596 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1597 | |
| 1598 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1599 | |
| 1600 | inputHandle1->Allocate(); |
| 1601 | inputHandle2->Allocate(); |
| 1602 | outputHandle->Allocate(); |
| 1603 | |
| 1604 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1605 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1606 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1607 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1608 | workload->Execute(); |
| 1609 | |
| 1610 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1611 | |
| 1612 | return ret; |
| 1613 | } |
| 1614 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1615 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 1616 | armnn::IWorkloadFactory& workloadFactory, |
| 1617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1618 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1619 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 1620 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1621 | } |
| 1622 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1623 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 1624 | armnn::IWorkloadFactory& workloadFactory, |
| 1625 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1626 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1627 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1628 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1629 | } |
| 1630 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1631 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 1632 | armnn::IWorkloadFactory& workloadFactory, |
| 1633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1634 | { |
| 1635 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1636 | workloadFactory, memoryManager, 2.f, 0); |
| 1637 | } |
| 1638 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1639 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 1640 | armnn::IWorkloadFactory& workloadFactory, |
| 1641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1642 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1643 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 1644 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1645 | } |
| 1646 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1647 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 1648 | armnn::IWorkloadFactory& workloadFactory, |
| 1649 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1650 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1651 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1652 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1653 | } |
| 1654 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1655 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 1656 | armnn::IWorkloadFactory& workloadFactory, |
| 1657 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1658 | { |
| 1659 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1660 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 1661 | } |
| 1662 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1663 | LayerTestResult<float,4> CompareAdditionTest( |
| 1664 | armnn::IWorkloadFactory& workloadFactory, |
| 1665 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1666 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1667 | { |
| 1668 | unsigned int batchSize = 4; |
| 1669 | unsigned int channels = 1; |
| 1670 | unsigned int height = 2; |
| 1671 | unsigned int width = 3; |
| 1672 | |
| 1673 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1674 | armnn::TensorInfo outputTensorInfo; |
| 1675 | |
| 1676 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1677 | |
| 1678 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1679 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1680 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1681 | |
| 1682 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 1683 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 1684 | |
| 1685 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1686 | |
| 1687 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1688 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1689 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1690 | |
| 1691 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1692 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1693 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1694 | |
| 1695 | armnn::AdditionQueueDescriptor data; |
| 1696 | armnn::WorkloadInfo info; |
| 1697 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1698 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1699 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1700 | |
| 1701 | armnn::AdditionQueueDescriptor refData = data; |
| 1702 | armnn::WorkloadInfo refInfo = info; |
| 1703 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 1704 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 1705 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 1706 | |
| 1707 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1708 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 1709 | |
| 1710 | inputHandle1->Allocate(); |
| 1711 | inputHandle2->Allocate(); |
| 1712 | outputHandle->Allocate(); |
| 1713 | inputHandle1Ref->Allocate(); |
| 1714 | inputHandle2Ref->Allocate(); |
| 1715 | outputHandleRef->Allocate(); |
| 1716 | |
| 1717 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1718 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1719 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 1720 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 1721 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1722 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1723 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1724 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1725 | workloadRef->Execute(); |
| 1726 | |
| 1727 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1728 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 1729 | |
| 1730 | return ret; |
| 1731 | } |
| 1732 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1733 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1734 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1735 | LayerTestResult<T, 4> DivisionTestHelper( |
| 1736 | armnn::IWorkloadFactory& workloadFactory, |
| 1737 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1738 | const unsigned int shape0[4], |
| 1739 | const std::vector<T>& values0, |
| 1740 | float scale0, |
| 1741 | int32_t offset0, |
| 1742 | const unsigned int shape1[4], |
| 1743 | const std::vector<T> & values1, |
| 1744 | float scale1, |
| 1745 | int32_t offset1, |
| 1746 | const unsigned int outShape[4], |
| 1747 | const std::vector<T> & outValues, |
| 1748 | float outScale, |
| 1749 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1750 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1751 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 1752 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 1753 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1754 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1755 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 1756 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1757 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1758 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 1759 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1760 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1761 | outputTensorInfo.SetQuantizationScale(outScale); |
| 1762 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1763 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1764 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 1765 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1766 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1767 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1768 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1769 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1770 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 1771 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1772 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1773 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1774 | armnn::DivisionQueueDescriptor data; |
| 1775 | armnn::WorkloadInfo info; |
| 1776 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 1777 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1778 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1779 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1780 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1781 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1782 | inputHandle0->Allocate(); |
| 1783 | inputHandle1->Allocate(); |
| 1784 | outputHandle->Allocate(); |
| 1785 | |
| 1786 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 1787 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1788 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1789 | workload->PostAllocationConfigure(); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1790 | workload->Execute(); |
| 1791 | |
| 1792 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 1793 | |
| 1794 | return result; |
| 1795 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1796 | } // anonymous namespace |
| 1797 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1798 | LayerTestResult<float,4> DivisionByZeroTest( |
| 1799 | armnn::IWorkloadFactory& workloadFactory, |
| 1800 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1801 | { |
| 1802 | const unsigned int width = 2; |
| 1803 | const unsigned int height = 2; |
| 1804 | const unsigned int channelCount = 2; |
| 1805 | const unsigned int batchSize = 2; |
| 1806 | |
| 1807 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1808 | |
| 1809 | std::vector<float> input0({ |
| 1810 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 1811 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 1812 | |
| 1813 | std::vector<float> input1({ |
| 1814 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 1815 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 1816 | |
| 1817 | std::vector<float> output({ |
| 1818 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 1819 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 1820 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1821 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1822 | memoryManager, |
| 1823 | shape, input0, 1.0f, 0, |
| 1824 | shape, input1, 1.0f, 0, |
| 1825 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 1826 | } |
| 1827 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1828 | LayerTestResult<float,4> DivisionTest( |
| 1829 | armnn::IWorkloadFactory& workloadFactory, |
| 1830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1831 | { |
| 1832 | const unsigned int width = 2; |
| 1833 | const unsigned int height = 2; |
| 1834 | const unsigned int channelCount = 2; |
| 1835 | const unsigned int batchSize = 2; |
| 1836 | |
| 1837 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1838 | |
| 1839 | std::vector<float> input0({ |
| 1840 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 1841 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1842 | |
| 1843 | std::vector<float> input1({ |
| 1844 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 1845 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1846 | |
| 1847 | std::vector<float> output({ |
| 1848 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 1849 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 1850 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1851 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1852 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1853 | memoryManager, |
| 1854 | shape, input0, 1.0f, 0, |
| 1855 | shape, input1, 1.0f, 0, |
| 1856 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1857 | } |
| 1858 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1859 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 1860 | armnn::IWorkloadFactory& workloadFactory, |
| 1861 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1862 | { |
| 1863 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1864 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1865 | |
| 1866 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1867 | std::vector<float> input1({ 2 }); |
| 1868 | |
| 1869 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1870 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1871 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1872 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1873 | memoryManager, |
| 1874 | shape0, input0, 1.0f, 0, |
| 1875 | shape1, input1, 1.0f, 0, |
| 1876 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1877 | } |
| 1878 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1879 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 1880 | armnn::IWorkloadFactory& workloadFactory, |
| 1881 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 1882 | { |
| 1883 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1884 | std::vector<float> input0({ |
| 1885 | 1, 4, 3, 8, 5, 12, |
| 1886 | 7, 16, 9, 20, 11, 24, |
| 1887 | 13, 28, 15, 32, 17, 36}); |
| 1888 | |
| 1889 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1890 | std::vector<float> input1({ 1, 2 }); |
| 1891 | |
| 1892 | std::vector<float> output({ |
| 1893 | 1, 2, 3, 4, 5, 6, |
| 1894 | 7, 8, 9, 10, 11, 12, |
| 1895 | 13, 14, 15, 16, 17, 18}); |
| 1896 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1897 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 1898 | memoryManager, |
| 1899 | shape0, input0, 1.0f, 0, |
| 1900 | shape1, input1, 1.0f, 0, |
| 1901 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1902 | } |
| 1903 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1904 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 1905 | armnn::IWorkloadFactory& workloadFactory, |
| 1906 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1907 | { |
| 1908 | const unsigned int width = 2; |
| 1909 | const unsigned int height = 2; |
| 1910 | const unsigned int channelCount = 2; |
| 1911 | const unsigned int batchSize = 2; |
| 1912 | |
| 1913 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 1914 | |
| 1915 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 1916 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1917 | |
| 1918 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 1919 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1920 | |
| 1921 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 1922 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 1923 | |
| 1924 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1925 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1926 | memoryManager, |
| 1927 | shape, input0, 1.0f, 0, |
| 1928 | shape, input1, 1.0f, 0, |
| 1929 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1930 | } |
| 1931 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1932 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 1933 | armnn::IWorkloadFactory& workloadFactory, |
| 1934 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1935 | { |
| 1936 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 1937 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 1938 | |
| 1939 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 1940 | std::vector<uint8_t> input1({ 2 }); |
| 1941 | |
| 1942 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 1943 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1944 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1945 | memoryManager, |
| 1946 | shape0, input0, 1.0f, 0, |
| 1947 | shape1, input1, 1.0f, 0, |
| 1948 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1949 | } |
| 1950 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1951 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 1952 | armnn::IWorkloadFactory& workloadFactory, |
| 1953 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 1954 | { |
| 1955 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 1956 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 1957 | 7, 16, 9, 20, 11, 24, |
| 1958 | 13, 28, 15, 32, 17, 36}); |
| 1959 | |
| 1960 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 1961 | std::vector<uint8_t> input1({ 1, 2 }); |
| 1962 | |
| 1963 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 1964 | 7, 8, 9, 10, 11, 12, |
| 1965 | 13, 14, 15, 16, 17, 18}); |
| 1966 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1967 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 1968 | memoryManager, |
| 1969 | shape0, input0, 1.0f, 0, |
| 1970 | shape1, input1, 1.0f, 0, |
| 1971 | shape0, output, 1.0f, 0); |
| 1972 | } |
| 1973 | |
| 1974 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 1975 | armnn::IWorkloadFactory& workloadFactory, |
| 1976 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1977 | { |
| 1978 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 1979 | |
| 1980 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 1981 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 1982 | |
| 1983 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 1984 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 1985 | |
| 1986 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 1987 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 1988 | |
| 1989 | |
| 1990 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 1991 | memoryManager, |
| 1992 | shape, input0, 1.0f, 0, |
| 1993 | shape, input1, 1.0f, 0, |
| 1994 | shape, output, 0.25f, 0); |
| 1995 | } |
| 1996 | |
| 1997 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 1998 | armnn::IWorkloadFactory& workloadFactory, |
| 1999 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2000 | { |
| 2001 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2002 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2003 | |
| 2004 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2005 | std::vector<int16_t> input1({ 2 }); |
| 2006 | |
| 2007 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2008 | |
| 2009 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2010 | memoryManager, |
| 2011 | shape0, input0, 1.0f, 0, |
| 2012 | shape1, input1, 1.0f, 0, |
| 2013 | shape0, output, 1.0f, 0); |
| 2014 | } |
| 2015 | |
| 2016 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 2017 | armnn::IWorkloadFactory& workloadFactory, |
| 2018 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2019 | { |
| 2020 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2021 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 2022 | 7, 16, 9, 20, 11, 24, |
| 2023 | 13, 28, 15, 32, 17, 36}); |
| 2024 | |
| 2025 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2026 | std::vector<int16_t> input1({ 1, 2 }); |
| 2027 | |
| 2028 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 2029 | 7, 8, 9, 10, 11, 12, |
| 2030 | 13, 14, 15, 16, 17, 18}); |
| 2031 | |
| 2032 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2033 | memoryManager, |
| 2034 | shape0, input0, 1.0f, 0, |
| 2035 | shape1, input1, 1.0f, 0, |
| 2036 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2037 | } |
| 2038 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2039 | template<typename DescriptorType> |
| 2040 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 2041 | const armnn::IWorkloadFactory& workloadFactory, |
| 2042 | const armnn::WorkloadInfo& info, |
| 2043 | const DescriptorType& descriptor) |
| 2044 | { |
| 2045 | return CreateWorkload(workloadFactory, info, descriptor); |
| 2046 | }; |
| 2047 | |
| 2048 | template<> |
| 2049 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 2050 | const armnn::IWorkloadFactory& workloadFactory, |
| 2051 | const armnn::WorkloadInfo& info, |
| 2052 | const armnn::MaximumQueueDescriptor& descriptor) |
| 2053 | { |
| 2054 | return workloadFactory.CreateMaximum(descriptor, info); |
| 2055 | } |
| 2056 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2057 | template<> |
| 2058 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 2059 | const armnn::IWorkloadFactory& workloadFactory, |
| 2060 | const armnn::WorkloadInfo& info, |
| 2061 | const armnn::MinimumQueueDescriptor& descriptor) |
| 2062 | { |
| 2063 | return workloadFactory.CreateMinimum(descriptor, info); |
| 2064 | } |
| 2065 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2066 | template<> |
| 2067 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 2068 | const armnn::IWorkloadFactory& workloadFactory, |
| 2069 | const armnn::WorkloadInfo& info, |
| 2070 | const armnn::EqualQueueDescriptor& descriptor) |
| 2071 | { |
| 2072 | return workloadFactory.CreateEqual(descriptor, info); |
| 2073 | } |
| 2074 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2075 | template<> |
| 2076 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 2077 | const armnn::IWorkloadFactory& workloadFactory, |
| 2078 | const armnn::WorkloadInfo& info, |
| 2079 | const armnn::GreaterQueueDescriptor& descriptor) |
| 2080 | { |
| 2081 | return workloadFactory.CreateGreater(descriptor, info); |
| 2082 | } |
| 2083 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2084 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2085 | |
| 2086 | template <typename Descriptor, |
| 2087 | armnn::DataType ArmnnTypeInput, |
| 2088 | armnn::DataType ArmnnTypeOutput, |
| 2089 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 2090 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 2091 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 2092 | armnn::IWorkloadFactory & workloadFactory, |
| 2093 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2094 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 2095 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 2096 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 2097 | float qScale = 0.0f, int qOffset = 0) |
| 2098 | { |
| 2099 | const size_t dimensionCount = 4; |
| 2100 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 2101 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 2102 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 2103 | |
| 2104 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 2105 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 2106 | |
| 2107 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2108 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2109 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 2110 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2111 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2112 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2113 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2114 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2115 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2116 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2117 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2118 | |
| 2119 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 2120 | |
| 2121 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 2122 | { |
| 2123 | ret.compareBoolean = true; |
| 2124 | } |
| 2125 | |
| 2126 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2127 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2128 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2129 | |
| 2130 | Descriptor data; |
| 2131 | armnn::WorkloadInfo info; |
| 2132 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2133 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2134 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2135 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 2136 | |
| 2137 | inputHandle0->Allocate(); |
| 2138 | inputHandle1->Allocate(); |
| 2139 | outputHandle->Allocate(); |
| 2140 | |
| 2141 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2142 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2143 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2144 | workload->PostAllocationConfigure(); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2145 | ExecuteWorkload(*workload, memoryManager); |
| 2146 | |
| 2147 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2148 | |
| 2149 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 2150 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2151 | } |
| 2152 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2153 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 2154 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 2155 | armnn::IWorkloadFactory & workloadFactory, |
| 2156 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2157 | const unsigned int shape0[4], std::vector<T> values0, |
| 2158 | const unsigned int shape1[4], std::vector<T> values1, |
| 2159 | const unsigned int outShape[4], std::vector<T> outValues, |
| 2160 | float qScale = 0.0f, int qOffset = 0) |
| 2161 | { |
| 2162 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 2163 | (workloadFactory, |
| 2164 | memoryManager, |
| 2165 | shape0, |
| 2166 | values0, |
| 2167 | shape1, |
| 2168 | values1, |
| 2169 | outShape, |
| 2170 | outValues, |
| 2171 | qScale, |
| 2172 | qOffset); |
| 2173 | } |
| 2174 | } |
| 2175 | |
| 2176 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2177 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2178 | { |
| 2179 | const unsigned int width = 2; |
| 2180 | const unsigned int height = 2; |
| 2181 | const unsigned int channelCount = 2; |
| 2182 | const unsigned int batchSize = 2; |
| 2183 | |
| 2184 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2185 | |
| 2186 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2187 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2188 | |
| 2189 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2190 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2191 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2192 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 2193 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2194 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2195 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2196 | workloadFactory, |
| 2197 | memoryManager, |
| 2198 | shape, |
| 2199 | input0, |
| 2200 | shape, |
| 2201 | input1, |
| 2202 | shape, |
| 2203 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2204 | } |
| 2205 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2206 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2207 | armnn::IWorkloadFactory& workloadFactory, |
| 2208 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2209 | { |
| 2210 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2211 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2212 | |
| 2213 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2214 | std::vector<float> input1({ 1 }); |
| 2215 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2216 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2217 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2218 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2219 | workloadFactory, |
| 2220 | memoryManager, |
| 2221 | shape0, |
| 2222 | input0, |
| 2223 | shape1, |
| 2224 | input1, |
| 2225 | shape0, |
| 2226 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2227 | } |
| 2228 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2229 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2230 | armnn::IWorkloadFactory& workloadFactory, |
| 2231 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2232 | { |
| 2233 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2234 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2235 | |
| 2236 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2237 | 7, 8, 9, 10, 11, 12 }); |
| 2238 | |
| 2239 | std::vector<float> input1({ 1, 2, 3}); |
| 2240 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2241 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 2242 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2243 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2244 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2245 | workloadFactory, |
| 2246 | memoryManager, |
| 2247 | shape0, |
| 2248 | input0, |
| 2249 | shape1, |
| 2250 | input1, |
| 2251 | shape0, |
| 2252 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2253 | } |
| 2254 | |
| 2255 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 2256 | armnn::IWorkloadFactory& workloadFactory, |
| 2257 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2258 | { |
| 2259 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2260 | |
| 2261 | // See dequantized values to the right. |
| 2262 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2263 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2264 | |
| 2265 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2266 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2267 | |
| 2268 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2269 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2270 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2271 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2272 | armnn::DataType::QuantisedAsymm8, |
| 2273 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2274 | workloadFactory, |
| 2275 | memoryManager, |
| 2276 | shape, |
| 2277 | input0, |
| 2278 | shape, |
| 2279 | input1, |
| 2280 | shape, |
| 2281 | output, |
| 2282 | 1.0f, |
| 2283 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2284 | } |
| 2285 | |
| 2286 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 2287 | armnn::IWorkloadFactory& workloadFactory, |
| 2288 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2289 | { |
| 2290 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2291 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2292 | |
| 2293 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2294 | 7, 8, 9, 10, 11, 12 }); |
| 2295 | |
| 2296 | std::vector<uint8_t> input1({ 1 }); |
| 2297 | |
| 2298 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 2299 | 0, 0, 0, 0, 0, 0 }); |
| 2300 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2301 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2302 | armnn::DataType::QuantisedAsymm8, |
| 2303 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2304 | workloadFactory, |
| 2305 | memoryManager, |
| 2306 | shape0, |
| 2307 | input0, |
| 2308 | shape1, |
| 2309 | input1, |
| 2310 | shape0, |
| 2311 | output, |
| 2312 | 1.0f, |
| 2313 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2314 | } |
| 2315 | |
| 2316 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 2317 | armnn::IWorkloadFactory& workloadFactory, |
| 2318 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2319 | { |
| 2320 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2321 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2322 | |
| 2323 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2324 | 7, 8, 9, 10, 11, 12 }); |
| 2325 | |
| 2326 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2327 | |
| 2328 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 2329 | 0, 0, 0, 0, 0, 0 }); |
| 2330 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2331 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2332 | armnn::DataType::QuantisedAsymm8, |
| 2333 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2334 | workloadFactory, |
| 2335 | memoryManager, |
| 2336 | shape0, |
| 2337 | input0, |
| 2338 | shape1, |
| 2339 | input1, |
| 2340 | shape0, |
| 2341 | output, |
| 2342 | 1.0f, |
| 2343 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2344 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2345 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2346 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2347 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2348 | { |
| 2349 | const unsigned int width = 2; |
| 2350 | const unsigned int height = 2; |
| 2351 | const unsigned int channelCount = 2; |
| 2352 | const unsigned int batchSize = 2; |
| 2353 | |
| 2354 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2355 | |
| 2356 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2357 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2358 | |
| 2359 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2360 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2361 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2362 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2363 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2364 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2365 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2366 | workloadFactory, |
| 2367 | memoryManager, |
| 2368 | shape, |
| 2369 | input0, |
| 2370 | shape, |
| 2371 | input1, |
| 2372 | shape, |
| 2373 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2374 | } |
| 2375 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2376 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2377 | armnn::IWorkloadFactory& workloadFactory, |
| 2378 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2379 | { |
| 2380 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2381 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2382 | |
| 2383 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2384 | std::vector<float> input1({ 1 }); |
| 2385 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2386 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2387 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2388 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2389 | workloadFactory, |
| 2390 | memoryManager, |
| 2391 | shape0, |
| 2392 | input0, |
| 2393 | shape1, |
| 2394 | input1, |
| 2395 | shape0, |
| 2396 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2397 | } |
| 2398 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2399 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2400 | armnn::IWorkloadFactory& workloadFactory, |
| 2401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2402 | { |
| 2403 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2404 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2405 | |
| 2406 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 2407 | 7, 8, 9, 10, 11, 12 }); |
| 2408 | |
| 2409 | std::vector<float> input1({ 1, 3, 2}); |
| 2410 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2411 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 2412 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2413 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2414 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2415 | workloadFactory, |
| 2416 | memoryManager, |
| 2417 | shape0, |
| 2418 | input0, |
| 2419 | shape1, |
| 2420 | input1, |
| 2421 | shape0, |
| 2422 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2423 | } |
| 2424 | |
| 2425 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 2426 | armnn::IWorkloadFactory& workloadFactory, |
| 2427 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2428 | { |
| 2429 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2430 | |
| 2431 | // See dequantized values to the right. |
| 2432 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2433 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2434 | |
| 2435 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2436 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 2437 | |
| 2438 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 2439 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2440 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2441 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2442 | armnn::DataType::QuantisedAsymm8, |
| 2443 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2444 | workloadFactory, |
| 2445 | memoryManager, |
| 2446 | shape, |
| 2447 | input0, |
| 2448 | shape, |
| 2449 | input1, |
| 2450 | shape, |
| 2451 | output, |
| 2452 | 1.0f, |
| 2453 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2454 | } |
| 2455 | |
| 2456 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 2457 | armnn::IWorkloadFactory& workloadFactory, |
| 2458 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2459 | { |
| 2460 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2461 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2462 | |
| 2463 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2464 | 7, 8, 9, 10, 11, 12 }); |
| 2465 | |
| 2466 | std::vector<uint8_t> input1({ 1 }); |
| 2467 | |
| 2468 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 2469 | 1, 1, 1, 1, 1, 1 }); |
| 2470 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2471 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2472 | armnn::DataType::QuantisedAsymm8, |
| 2473 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2474 | workloadFactory, |
| 2475 | memoryManager, |
| 2476 | shape0, |
| 2477 | input0, |
| 2478 | shape1, |
| 2479 | input1, |
| 2480 | shape0, |
| 2481 | output, |
| 2482 | 1.0f, |
| 2483 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2484 | } |
| 2485 | |
| 2486 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 2487 | armnn::IWorkloadFactory& workloadFactory, |
| 2488 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2489 | { |
| 2490 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2491 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2492 | |
| 2493 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2494 | 7, 8, 9, 10, 11, 12 }); |
| 2495 | |
| 2496 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2497 | |
| 2498 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 2499 | 1, 1, 1, 1, 1, 1 }); |
| 2500 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2501 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2502 | armnn::DataType::QuantisedAsymm8, |
| 2503 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2504 | workloadFactory, |
| 2505 | memoryManager, |
| 2506 | shape0, |
| 2507 | input0, |
| 2508 | shape1, |
| 2509 | input1, |
| 2510 | shape0, |
| 2511 | output, |
| 2512 | 1.0f, |
| 2513 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2514 | } |
| 2515 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2516 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2517 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2518 | { |
| 2519 | const unsigned int width = 2; |
| 2520 | const unsigned int height = 2; |
| 2521 | const unsigned int channelCount = 2; |
| 2522 | const unsigned int batchSize = 2; |
| 2523 | |
| 2524 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2525 | |
| 2526 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2527 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2528 | |
| 2529 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2530 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2531 | |
| 2532 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 2533 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2534 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2535 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2536 | workloadFactory, |
| 2537 | memoryManager, |
| 2538 | shape, |
| 2539 | input0, |
| 2540 | shape, |
| 2541 | input1, |
| 2542 | shape, |
| 2543 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2544 | } |
| 2545 | |
| 2546 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 2547 | armnn::IWorkloadFactory& workloadFactory, |
| 2548 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2549 | { |
| 2550 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2551 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2552 | |
| 2553 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2554 | std::vector<float> input1({ 2 }); |
| 2555 | |
| 2556 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 2557 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2558 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2559 | workloadFactory, |
| 2560 | memoryManager, |
| 2561 | shape0, |
| 2562 | input0, |
| 2563 | shape1, |
| 2564 | input1, |
| 2565 | shape0, |
| 2566 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2567 | } |
| 2568 | |
| 2569 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 2570 | armnn::IWorkloadFactory& workloadFactory, |
| 2571 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2572 | { |
| 2573 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2574 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2575 | |
| 2576 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2577 | 7, 8, 9, 10, 11, 12 }); |
| 2578 | |
| 2579 | std::vector<float> input1({ 1, 2, 3}); |
| 2580 | |
| 2581 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2582 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2583 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2584 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2585 | workloadFactory, |
| 2586 | memoryManager, |
| 2587 | shape0, |
| 2588 | input0, |
| 2589 | shape1, |
| 2590 | input1, |
| 2591 | shape0, |
| 2592 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2593 | } |
| 2594 | |
| 2595 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 2596 | armnn::IWorkloadFactory& workloadFactory, |
| 2597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2598 | { |
| 2599 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2600 | |
| 2601 | // See dequantized values to the right. |
| 2602 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2603 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2604 | |
| 2605 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2606 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2607 | |
| 2608 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2609 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2610 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2611 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2612 | workloadFactory, |
| 2613 | memoryManager, |
| 2614 | shape, |
| 2615 | input0, |
| 2616 | shape, |
| 2617 | input1, |
| 2618 | shape, |
| 2619 | output, |
| 2620 | 1.0f, |
| 2621 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2622 | } |
| 2623 | |
| 2624 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 2625 | armnn::IWorkloadFactory& workloadFactory, |
| 2626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2627 | { |
| 2628 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2629 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2630 | |
| 2631 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2632 | 7, 8, 9, 10, 11, 12 }); |
| 2633 | |
| 2634 | std::vector<uint8_t> input1({2}); |
| 2635 | |
| 2636 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 2637 | 7, 8, 9, 10, 11, 12 }); |
| 2638 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2639 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2640 | workloadFactory, |
| 2641 | memoryManager, |
| 2642 | shape0, |
| 2643 | input0, |
| 2644 | shape1, |
| 2645 | input1, |
| 2646 | shape0, |
| 2647 | output, |
| 2648 | 1.0f, |
| 2649 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2650 | } |
| 2651 | |
| 2652 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 2653 | armnn::IWorkloadFactory& workloadFactory, |
| 2654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2655 | { |
| 2656 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2657 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2658 | |
| 2659 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2660 | 7, 8, 9, 10, 11, 12 }); |
| 2661 | |
| 2662 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 2663 | |
| 2664 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 2665 | 7, 10, 9, 10, 11, 12 }); |
| 2666 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2667 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2668 | workloadFactory, |
| 2669 | memoryManager, |
| 2670 | shape0, |
| 2671 | input0, |
| 2672 | shape1, |
| 2673 | input1, |
| 2674 | shape0, |
| 2675 | output, |
| 2676 | 1.0f, |
| 2677 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2678 | } |
| 2679 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2680 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 2681 | armnn::IWorkloadFactory& workloadFactory, |
| 2682 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2683 | { |
| 2684 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2685 | |
| 2686 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2687 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2688 | |
| 2689 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2690 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2691 | |
| 2692 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2693 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2694 | |
| 2695 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2696 | workloadFactory, |
| 2697 | memoryManager, |
| 2698 | shape, |
| 2699 | input0, |
| 2700 | shape, |
| 2701 | input1, |
| 2702 | shape, |
| 2703 | output, |
| 2704 | 1.0f, |
| 2705 | 0); |
| 2706 | } |
| 2707 | |
| 2708 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 2709 | armnn::IWorkloadFactory& workloadFactory, |
| 2710 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2711 | { |
| 2712 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2713 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2714 | |
| 2715 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2716 | 7, 8, 9, 10, 11, 12 }); |
| 2717 | |
| 2718 | std::vector<int16_t> input1({2}); |
| 2719 | |
| 2720 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 2721 | 7, 8, 9, 10, 11, 12 }); |
| 2722 | |
| 2723 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2724 | workloadFactory, |
| 2725 | memoryManager, |
| 2726 | shape0, |
| 2727 | input0, |
| 2728 | shape1, |
| 2729 | input1, |
| 2730 | shape0, |
| 2731 | output, |
| 2732 | 1.0f, |
| 2733 | 0); |
| 2734 | } |
| 2735 | |
| 2736 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 2737 | armnn::IWorkloadFactory& workloadFactory, |
| 2738 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2739 | { |
| 2740 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2741 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2742 | |
| 2743 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2744 | 7, 8, 9, 10, 11, 12 }); |
| 2745 | |
| 2746 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 2747 | |
| 2748 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 2749 | 7, 10, 9, 10, 11, 12 }); |
| 2750 | |
| 2751 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2752 | workloadFactory, |
| 2753 | memoryManager, |
| 2754 | shape0, |
| 2755 | input0, |
| 2756 | shape1, |
| 2757 | input1, |
| 2758 | shape0, |
| 2759 | output, |
| 2760 | 1.0f, |
| 2761 | 0); |
| 2762 | } |
| 2763 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2764 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 2765 | armnn::IWorkloadFactory& workloadFactory, |
| 2766 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2767 | { |
| 2768 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2769 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2770 | |
| 2771 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2772 | std::vector<float> input1({ 2 }); |
| 2773 | |
| 2774 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 2775 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2776 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2777 | workloadFactory, |
| 2778 | memoryManager, |
| 2779 | shape0, |
| 2780 | input0, |
| 2781 | shape1, |
| 2782 | input1, |
| 2783 | shape0, |
| 2784 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2785 | } |
| 2786 | |
| 2787 | |
| 2788 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 2789 | armnn::IWorkloadFactory& workloadFactory, |
| 2790 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2791 | { |
| 2792 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2793 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 2794 | |
| 2795 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2796 | std::vector<float> input1({ 5 }); |
| 2797 | |
| 2798 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 2799 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2800 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 2801 | workloadFactory, |
| 2802 | memoryManager, |
| 2803 | shape0, |
| 2804 | input0, |
| 2805 | shape1, |
| 2806 | input1, |
| 2807 | shape0, |
| 2808 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2809 | } |
| 2810 | |
| 2811 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 2812 | armnn::IWorkloadFactory & workloadFactory, |
| 2813 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 2814 | { |
| 2815 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2816 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2817 | |
| 2818 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 2819 | 7, 1, 2, 3, 4, 5 }); |
| 2820 | |
| 2821 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 2822 | |
| 2823 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 2824 | 1, 1, 2, 1, 2, 3 }); |
| 2825 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2826 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2827 | workloadFactory, |
| 2828 | memoryManager, |
| 2829 | shape0, |
| 2830 | input0, |
| 2831 | shape1, |
| 2832 | input1, |
| 2833 | shape0, |
| 2834 | output, |
| 2835 | 1.0f, |
| 2836 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2837 | } |
| 2838 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2839 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 2840 | armnn::IWorkloadFactory& workloadFactory, |
| 2841 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2842 | { |
| 2843 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2844 | |
| 2845 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2846 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2847 | |
| 2848 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2849 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2850 | |
| 2851 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2852 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2853 | |
| 2854 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2855 | workloadFactory, |
| 2856 | memoryManager, |
| 2857 | shape, |
| 2858 | input0, |
| 2859 | shape, |
| 2860 | input1, |
| 2861 | shape, |
| 2862 | output, |
| 2863 | 1.0f, |
| 2864 | 0); |
| 2865 | } |
| 2866 | |
| 2867 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 2868 | armnn::IWorkloadFactory& workloadFactory, |
| 2869 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2870 | { |
| 2871 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2872 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2873 | |
| 2874 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2875 | 7, 8, 9, 10, 11, 12 }); |
| 2876 | |
| 2877 | std::vector<int16_t> input1({2}); |
| 2878 | |
| 2879 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 2880 | 2, 2, 2, 2, 2, 2 }); |
| 2881 | |
| 2882 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2883 | workloadFactory, |
| 2884 | memoryManager, |
| 2885 | shape0, |
| 2886 | input0, |
| 2887 | shape1, |
| 2888 | input1, |
| 2889 | shape0, |
| 2890 | output, |
| 2891 | 1.0f, |
| 2892 | 0); |
| 2893 | } |
| 2894 | |
| 2895 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 2896 | armnn::IWorkloadFactory& workloadFactory, |
| 2897 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2898 | { |
| 2899 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2900 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2901 | |
| 2902 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2903 | 7, 8, 9, 10, 11, 12 }); |
| 2904 | |
| 2905 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 2906 | |
| 2907 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 2908 | 1, 8, 3, 1, 10, 3 }); |
| 2909 | |
| 2910 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 2911 | workloadFactory, |
| 2912 | memoryManager, |
| 2913 | shape0, |
| 2914 | input0, |
| 2915 | shape1, |
| 2916 | input1, |
| 2917 | shape0, |
| 2918 | output, |
| 2919 | 1.0f, |
| 2920 | 0); |
| 2921 | } |
| 2922 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2923 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2924 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 2925 | armnn::IWorkloadFactory& workloadFactory, |
| 2926 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2927 | const unsigned int shape0[4], |
| 2928 | const std::vector<float> & values0, |
| 2929 | const unsigned int shape1[4], |
| 2930 | const std::vector<float> & values1, |
| 2931 | const unsigned int outShape[4], |
| 2932 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2933 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2934 | const size_t dimensionCount = 4; |
| 2935 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 2936 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 2937 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2938 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2939 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 2940 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2941 | |
| 2942 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2943 | |
| 2944 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2945 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2946 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2947 | |
| 2948 | armnn::MultiplicationQueueDescriptor data; |
| 2949 | armnn::WorkloadInfo info; |
| 2950 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2951 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2952 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2953 | |
| 2954 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 2955 | |
| 2956 | inputHandle0->Allocate(); |
| 2957 | inputHandle1->Allocate(); |
| 2958 | outputHandle->Allocate(); |
| 2959 | |
| 2960 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2961 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2962 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2963 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2964 | workload->Execute(); |
| 2965 | |
| 2966 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2967 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2968 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2969 | return ret; |
| 2970 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2971 | } // anonymous namespace |
| 2972 | |
| 2973 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2974 | LayerTestResult<float,4> MultiplicationTest( |
| 2975 | armnn::IWorkloadFactory& workloadFactory, |
| 2976 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2977 | { |
| 2978 | const unsigned int width = 2; |
| 2979 | const unsigned int height = 2; |
| 2980 | const unsigned int channelCount = 2; |
| 2981 | const unsigned int batchSize = 2; |
| 2982 | |
| 2983 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2984 | |
| 2985 | std::vector<float> input0({ |
| 2986 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 2987 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2988 | |
| 2989 | std::vector<float> input1({ |
| 2990 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 2991 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2992 | |
| 2993 | std::vector<float> output({ |
| 2994 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 2995 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 2996 | |
| 2997 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2998 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2999 | shape, |
| 3000 | input0, |
| 3001 | shape, |
| 3002 | input1, |
| 3003 | shape, |
| 3004 | output); |
| 3005 | } |
| 3006 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3007 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 3008 | armnn::IWorkloadFactory& workloadFactory, |
| 3009 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3010 | { |
| 3011 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3012 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3013 | |
| 3014 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3015 | std::vector<float> input1({ 2 }); |
| 3016 | |
| 3017 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3018 | |
| 3019 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3020 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3021 | shape0, |
| 3022 | input0, |
| 3023 | shape1, |
| 3024 | input1, |
| 3025 | shape0, |
| 3026 | output); |
| 3027 | } |
| 3028 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3029 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 3030 | armnn::IWorkloadFactory& workloadFactory, |
| 3031 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3032 | { |
| 3033 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3034 | std::vector<float> input0({ |
| 3035 | 1, 2, 3, 4, 5, 6, |
| 3036 | 7, 8, 9, 10, 11, 12, |
| 3037 | 13, 14, 15, 16, 17, 18}); |
| 3038 | |
| 3039 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3040 | std::vector<float> input1({ 1, 2 }); |
| 3041 | |
| 3042 | std::vector<float> output({ |
| 3043 | 1, 4, 3, 8, 5, 12, |
| 3044 | 7, 16, 9, 20, 11, 24, |
| 3045 | 13, 28, 15, 32, 17, 36}); |
| 3046 | |
| 3047 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3048 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3049 | shape0, |
| 3050 | input0, |
| 3051 | shape1, |
| 3052 | input1, |
| 3053 | shape0, |
| 3054 | output); |
| 3055 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3056 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3057 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 3058 | armnn::IWorkloadFactory& workloadFactory, |
| 3059 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3060 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3061 | { |
| 3062 | const unsigned int width = 16; |
| 3063 | const unsigned int height = 32; |
| 3064 | const unsigned int channelCount = 2; |
| 3065 | const unsigned int batchSize = 5; |
| 3066 | |
| 3067 | armnn::TensorInfo inputTensorInfo0; |
| 3068 | armnn::TensorInfo inputTensorInfo1; |
| 3069 | armnn::TensorInfo outputTensorInfo; |
| 3070 | |
| 3071 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3072 | |
| 3073 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3074 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3075 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3076 | |
| 3077 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 3078 | |
| 3079 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 3080 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 3081 | |
| 3082 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3083 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3084 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3085 | |
| 3086 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3087 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3088 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3089 | |
| 3090 | armnn::MultiplicationQueueDescriptor data; |
| 3091 | armnn::WorkloadInfo info; |
| 3092 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3093 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3094 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3095 | |
| 3096 | armnn::MultiplicationQueueDescriptor refData = data; |
| 3097 | armnn::WorkloadInfo refInfo = info; |
| 3098 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 3099 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 3100 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3101 | |
| 3102 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3103 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 3104 | |
| 3105 | inputHandle0->Allocate(); |
| 3106 | inputHandle1->Allocate(); |
| 3107 | outputHandle->Allocate(); |
| 3108 | inputHandle0Ref->Allocate(); |
| 3109 | inputHandle1Ref->Allocate(); |
| 3110 | outputHandleRef->Allocate(); |
| 3111 | |
| 3112 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3113 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3114 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 3115 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 3116 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3117 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3118 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3119 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3120 | workloadRef->Execute(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3121 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 3122 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3123 | |
| 3124 | return comparisonResult; |
| 3125 | } |
| 3126 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3127 | LayerTestResult<float,4> CompareBatchNormTest( |
| 3128 | armnn::IWorkloadFactory& workloadFactory, |
| 3129 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3130 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3131 | { |
| 3132 | const unsigned int width = 2; |
| 3133 | const unsigned int height = 3; |
| 3134 | const unsigned int channels = 5; |
| 3135 | const unsigned int batchSize = 3; |
| 3136 | |
| 3137 | armnn::TensorInfo inputTensorInfo; |
| 3138 | armnn::TensorInfo outputTensorInfo; |
| 3139 | armnn::TensorInfo tensorInfo; |
| 3140 | |
| 3141 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 3142 | constexpr unsigned int tensorShape[] = {channels}; |
| 3143 | |
| 3144 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3145 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3146 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 3147 | |
| 3148 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 3149 | |
| 3150 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3151 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 3152 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3153 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 3154 | |
| 3155 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3156 | |
| 3157 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3158 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3159 | |
| 3160 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3161 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3162 | |
| 3163 | armnn::BatchNormalizationQueueDescriptor data; |
| 3164 | armnn::WorkloadInfo info; |
| 3165 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 3166 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 3167 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 3168 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 3169 | |
| 3170 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 3171 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 3172 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 3173 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 3174 | |
| 3175 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 3176 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3177 | data.m_Mean = &meanTensor; |
| 3178 | data.m_Variance = &varianceTensor; |
| 3179 | data.m_Beta = &betaTensor; |
| 3180 | data.m_Gamma = &gammaTensor; |
| 3181 | data.m_Parameters.m_Eps = 0.01f; |
| 3182 | |
| 3183 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 3184 | armnn::WorkloadInfo refInfo = info; |
| 3185 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 3186 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3187 | |
| 3188 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 3189 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 3190 | |
| 3191 | inputHandle->Allocate(); |
| 3192 | outputHandle->Allocate(); |
| 3193 | inputHandleRef->Allocate(); |
| 3194 | outputHandleRef->Allocate(); |
| 3195 | |
| 3196 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 3197 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 3198 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3199 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3200 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3201 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3202 | workloadRef->Execute(); |
| 3203 | |
| 3204 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3205 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3206 | |
| 3207 | return ret; |
| 3208 | } |
| 3209 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3210 | template<typename T> |
| 3211 | void PermuteTensorData( |
| 3212 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3213 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3214 | const armnn::PermutationVector& mappings, |
| 3215 | armnn::TensorInfo & inputTensorInfo, |
| 3216 | const T * inputData, |
| 3217 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3218 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3219 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 3220 | if (inputData == nullptr) |
| 3221 | { |
| 3222 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 3223 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3224 | // an assert for Debug builds. |
| 3225 | return; |
| 3226 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3227 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3228 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 3229 | |
| 3230 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3231 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3232 | |
| 3233 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 3234 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 3235 | armnn::WorkloadInfo workloadInfo; |
| 3236 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 3237 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3238 | |
| 3239 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 3240 | |
| 3241 | inputHandle->Allocate(); |
| 3242 | outputHandle->Allocate(); |
| 3243 | |
| 3244 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 3245 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3246 | workload->PostAllocationConfigure(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3247 | workload->Execute(); |
| 3248 | |
| 3249 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 3250 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 3251 | inputTensorInfo = outputTensorInfo; |
| 3252 | } |
| 3253 | |
| 3254 | armnn::OriginsDescriptor CreateMergerDescriptorForConcatenation( |
| 3255 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3256 | unsigned int concatDim) |
| 3257 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3258 | std::vector<armnn::TensorShape> shapes; |
| 3259 | shapes.reserve(inputTensorInfos.size()); |
| 3260 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 3261 | { |
| 3262 | shapes.push_back(it.GetShape()); |
| 3263 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3264 | |
| 3265 | return armnn::CreateMergerDescriptorForConcatenation(shapes.begin(), |
| 3266 | shapes.end(), |
| 3267 | concatDim); |
| 3268 | } |
| 3269 | |
| 3270 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3271 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 3272 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 3273 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3274 | // |
| 3275 | |
| 3276 | bool NeedPermuteForConcat( |
| 3277 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3278 | unsigned int concatDim) |
| 3279 | { |
| 3280 | // See note above. Additionally we expect the input shapes to have the |
| 3281 | // same number of dimensions. |
| 3282 | unsigned int nDimensions = 0; |
| 3283 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3284 | // Determine the number of dimensions as well as sanity check them |
| 3285 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3286 | for (auto && tensorInfo : inputTensorInfos) |
| 3287 | { |
| 3288 | if (!nDimensions) |
| 3289 | { |
| 3290 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 3291 | } |
| 3292 | else |
| 3293 | { |
| 3294 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 3295 | "Input shapes must have the same number of dimensions"); |
| 3296 | } |
| 3297 | } |
| 3298 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3299 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3300 | } |
| 3301 | |
| 3302 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 3303 | { |
| 3304 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 3305 | if (numDims >= 3) |
| 3306 | { |
| 3307 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 3308 | return inputShape; |
| 3309 | } |
| 3310 | |
| 3311 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 3312 | unsigned int expandedBy = 3 - numDims; |
| 3313 | for (unsigned int i=0; i<numDims; ++i) |
| 3314 | { |
| 3315 | newDims[expandedBy+i] = inputShape[i]; |
| 3316 | } |
| 3317 | return armnn::TensorShape(3u, &newDims[0]); |
| 3318 | } |
| 3319 | |
| 3320 | void Generate3dPermuteVectorForConcat( |
| 3321 | unsigned int numDimensions, |
| 3322 | unsigned int & concatDim, |
| 3323 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 3324 | { |
| 3325 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 3326 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3327 | unsigned int expandedBy = 3 - numDimensions; |
| 3328 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 3329 | |
| 3330 | if (expandedConcatAxis == 2) |
| 3331 | { |
| 3332 | concatDim = 0; |
| 3333 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 3334 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 3335 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3336 | } |
| 3337 | else if (expandedConcatAxis == 1) |
| 3338 | { |
| 3339 | concatDim = 0; |
| 3340 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 3341 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 3342 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3343 | } |
| 3344 | else |
| 3345 | { |
| 3346 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 3347 | concatDim = 0; |
| 3348 | } |
| 3349 | } |
| 3350 | |
| 3351 | // |
| 3352 | // Permute the input tensors so we can do a supported concatenation. |
| 3353 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 3354 | // at the front. Finally this function tells what the output shape |
| 3355 | // of the permuted concatenated tensor is going to be. |
| 3356 | // |
| 3357 | template <typename T> |
| 3358 | void PermuteInputsForConcat( |
| 3359 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3360 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3361 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3362 | std::vector<T *> & inputData, |
| 3363 | std::vector<std::vector<T>> & inputDataStorage, |
| 3364 | armnn::PermutationVector & permuteVector, |
| 3365 | unsigned int & concatDim, |
| 3366 | armnn::TensorInfo & outputTensorInfo) |
| 3367 | { |
| 3368 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 3369 | "Expecting more than one tensor to be concatenated here"); |
| 3370 | |
| 3371 | unsigned int numDims = 0; |
| 3372 | unsigned int nthInput = 0; |
| 3373 | const armnn::PermutationVector identity({0, 1, 2}); |
| 3374 | |
| 3375 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 3376 | std::make_pair(identity, identity); |
| 3377 | |
| 3378 | inputDataStorage.resize(inputData.size()); |
| 3379 | |
| 3380 | for (auto && tensorInfo : inputTensorInfos) |
| 3381 | { |
| 3382 | if (numDims == 0) |
| 3383 | { |
| 3384 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 3385 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3386 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3387 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3388 | permuteVector = permutations.second; |
| 3389 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 3390 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 3391 | } |
| 3392 | else |
| 3393 | { |
| 3394 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 3395 | "All inputs must have the same number of dimensions"); |
| 3396 | } |
| 3397 | |
| 3398 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 3399 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 3400 | |
| 3401 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3402 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3403 | permutations.first, |
| 3404 | newTensorInfo, |
| 3405 | inputData[nthInput], |
| 3406 | inputDataStorage[nthInput]); |
| 3407 | |
| 3408 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 3409 | inputTensorInfos[nthInput] = newTensorInfo; |
| 3410 | |
| 3411 | ++nthInput; |
| 3412 | } |
| 3413 | |
| 3414 | outputTensorInfo.SetShape( |
| 3415 | armnnUtils::Permuted( |
| 3416 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 3417 | permutations.first)); |
| 3418 | } |
| 3419 | |
| 3420 | |
| 3421 | // |
| 3422 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3423 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3424 | // output. |
| 3425 | // |
| 3426 | template <typename T> |
| 3427 | void PermuteOutputForConcat( |
| 3428 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3430 | const armnn::TensorInfo & tensorInfo, |
| 3431 | const armnn::PermutationVector & permuteVector, |
| 3432 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 3433 | T * data) |
| 3434 | { |
| 3435 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 3436 | if (data == nullptr) |
| 3437 | { |
| 3438 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3439 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3440 | // an assert for Debug builds. |
| 3441 | return; |
| 3442 | } |
| 3443 | |
| 3444 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 3445 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 3446 | std::vector<T> outputData; |
| 3447 | |
| 3448 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 3449 | |
| 3450 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3451 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3452 | permuteVector, |
| 3453 | resultTensorInfo, |
| 3454 | &inputData[0], |
| 3455 | outputData); |
| 3456 | |
| 3457 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 3458 | } |
| 3459 | |
| 3460 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3461 | void Concatenate( |
| 3462 | armnn::IWorkloadFactory& workloadFactory, |
| 3463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3464 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 3465 | std::initializer_list<T *> inputsOrig, |
| 3466 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 3467 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3468 | unsigned int concatDim, |
| 3469 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3470 | { |
| 3471 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 3472 | if (output == nullptr) |
| 3473 | { |
| 3474 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3475 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3476 | // an assert for Debug builds. |
| 3477 | return; |
| 3478 | } |
| 3479 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3480 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3481 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 3482 | std::vector<T *> inputs = inputsOrig; |
| 3483 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 3484 | |
| 3485 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 3486 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3487 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3488 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 3489 | |
| 3490 | const size_t inputCount = inputTensorInfos.size(); |
| 3491 | |
| 3492 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 3493 | |
| 3494 | if (needPermuteForConcat) |
| 3495 | { |
| 3496 | // |
| 3497 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3498 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3499 | // |
| 3500 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3501 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3502 | inputTensorInfos, |
| 3503 | inputs, |
| 3504 | tmpInputDataStorage, |
| 3505 | permuteVector, |
| 3506 | concatDim, |
| 3507 | outputTensorInfo); |
| 3508 | } |
| 3509 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3510 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3511 | |
| 3512 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 3513 | inputHandles.reserve(inputCount); |
| 3514 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3515 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3516 | |
| 3517 | armnn::MergerQueueDescriptor queueDescriptor; |
| 3518 | armnn::OriginsDescriptor viewsDescriptor = CreateMergerDescriptorForConcatenation(inputTensorInfos, concatDim); |
| 3519 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 3520 | |
| 3521 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3522 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3523 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 3524 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 3525 | { |
| 3526 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 3527 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 3528 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3529 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3530 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3531 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3532 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 3533 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3534 | { |
| 3535 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 3536 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 3537 | subTensorsSupported ? |
| 3538 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 3539 | inputTensorInfo.GetShape(), |
| 3540 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 3541 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3542 | |
| 3543 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3544 | } |
| 3545 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3546 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3547 | else |
| 3548 | { |
| 3549 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3550 | { |
| 3551 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 3552 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3553 | } |
| 3554 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3555 | |
| 3556 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3557 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3558 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3559 | } |
| 3560 | |
| 3561 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3562 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 3563 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(queueDescriptor, workloadInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3564 | |
| 3565 | for (auto& inputHandle : inputHandles) |
| 3566 | { |
| 3567 | inputHandle->Allocate(); |
| 3568 | } |
| 3569 | |
| 3570 | outputHandle->Allocate(); |
| 3571 | |
| 3572 | unsigned int nextInputId = 0; |
| 3573 | for (auto& inputHandle : inputHandles) |
| 3574 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3575 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 3576 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3577 | } |
| 3578 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3579 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3580 | workload->Execute(); |
| 3581 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3582 | if (needPermuteForConcat) |
| 3583 | { |
| 3584 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3585 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3586 | outputTensorInfo, |
| 3587 | permuteVector, |
| 3588 | std::move(outputHandle), |
| 3589 | output); |
| 3590 | } |
| 3591 | else |
| 3592 | { |
| 3593 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 3594 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3595 | } |
| 3596 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3597 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3598 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 3599 | armnn::IWorkloadFactory& workloadFactory, |
| 3600 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3601 | float qScale, |
| 3602 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3603 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3604 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3605 | |
| 3606 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 3607 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 3608 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 3609 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3610 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3611 | |
| 3612 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 3613 | |
| 3614 | std::vector<T> output; |
| 3615 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3616 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3617 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3618 | { input0.data(), input1.data(), input2.data() }, |
| 3619 | outputTensorInfo, |
| 3620 | output.data(), |
| 3621 | 0, |
| 3622 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3623 | |
| 3624 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 3625 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3626 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 3627 | })); |
| 3628 | |
| 3629 | return result; |
| 3630 | } |
| 3631 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3632 | LayerTestResult<float, 1> Concatenation1dTest( |
| 3633 | armnn::IWorkloadFactory& workloadFactory, |
| 3634 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3635 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3636 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3637 | } |
| 3638 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3639 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3640 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 3641 | armnn::IWorkloadFactory& workloadFactory, |
| 3642 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3643 | const armnn::TensorInfo& outputTensorInfo, |
| 3644 | unsigned int dimension, |
| 3645 | const float qScale, |
| 3646 | const int32_t qOffset) |
| 3647 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3648 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3649 | |
| 3650 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3651 | // Batch 0 |
| 3652 | 1.0f, 2.0f, 3.0f, |
| 3653 | |
| 3654 | // Batch 1 |
| 3655 | 10.0f, 11.0f, 12.0f, |
| 3656 | })); |
| 3657 | |
| 3658 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3659 | // Batch 0 |
| 3660 | 4.0f, 5.0f, 6.0f, |
| 3661 | |
| 3662 | // Batch 1 |
| 3663 | 13.0f, 14.0f, 15.0f, |
| 3664 | })); |
| 3665 | |
| 3666 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3667 | // Batch 0 |
| 3668 | 7.0f, 8.0f, 9.0f, |
| 3669 | |
| 3670 | // Batch 1 |
| 3671 | 16.0f, 17.0f, 18.0f, |
| 3672 | })); |
| 3673 | |
| 3674 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3675 | |
| 3676 | std::vector<T> output; |
| 3677 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3678 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3679 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3680 | { input0.data(), input1.data(), input2.data() }, |
| 3681 | outputTensorInfo, |
| 3682 | output.data(), |
| 3683 | dimension, |
| 3684 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3685 | |
| 3686 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3687 | return result; |
| 3688 | } |
| 3689 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3690 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3691 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 3692 | armnn::IWorkloadFactory& workloadFactory, |
| 3693 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3694 | float qScale, |
| 3695 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3696 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3697 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3698 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3699 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3700 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 3701 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3702 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3703 | // Batch 0 |
| 3704 | 1.0f, 2.0f, 3.0f, |
| 3705 | |
| 3706 | // Batch 1 |
| 3707 | 10.0f, 11.0f, 12.0f, |
| 3708 | |
| 3709 | // Batch 2 |
| 3710 | 4.0f, 5.0f, 6.0f, |
| 3711 | |
| 3712 | // Batch 3 |
| 3713 | 13.0f, 14.0f, 15.0f, |
| 3714 | |
| 3715 | // Batch 4 |
| 3716 | 7.0f, 8.0f, 9.0f, |
| 3717 | |
| 3718 | // Batch 5 |
| 3719 | 16.0f, 17.0f, 18.0f, |
| 3720 | })); |
| 3721 | |
| 3722 | return result; |
| 3723 | } |
| 3724 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3725 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 3726 | armnn::IWorkloadFactory& workloadFactory, |
| 3727 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3728 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3729 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3730 | } |
| 3731 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3732 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3733 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 3734 | armnn::IWorkloadFactory& workloadFactory, |
| 3735 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3736 | float qScale, |
| 3737 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3738 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3739 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3740 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3741 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 3742 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 3743 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3744 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3745 | // Batch 0 |
| 3746 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3747 | |
| 3748 | // Batch 1 |
| 3749 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 3750 | })); |
| 3751 | |
| 3752 | return result; |
| 3753 | } |
| 3754 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3755 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 3756 | armnn::IWorkloadFactory& workloadFactory, |
| 3757 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3758 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3759 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3760 | } |
| 3761 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3762 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3763 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 3764 | armnn::IWorkloadFactory& workloadFactory, |
| 3765 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3766 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3767 | int32_t qOffset) |
| 3768 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3769 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3770 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3771 | // Batch 0 |
| 3772 | 1.0f, 2.0f, 3.0f, |
| 3773 | |
| 3774 | // Batch 1 |
| 3775 | 10.0f, 11.0f, 12.0f, |
| 3776 | })); |
| 3777 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3778 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3779 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3780 | // Batch 0 |
| 3781 | 4.0f, 5.0f, 6.0f, |
| 3782 | |
| 3783 | // Batch 1 |
| 3784 | 13.0f, 14.0f, 15.0f, |
| 3785 | |
| 3786 | // Batch 0 |
| 3787 | 7.0f, 8.0f, 9.0f, |
| 3788 | })); |
| 3789 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3790 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3791 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3792 | // Batch 1 |
| 3793 | 16.0f, 17.0f, 18.0f, |
| 3794 | })); |
| 3795 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3796 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3797 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3798 | |
| 3799 | std::vector<T> output; |
| 3800 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3801 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3802 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3803 | { input0.data(), input1.data(), input2.data() }, |
| 3804 | outputTensorInfo, |
| 3805 | output.data(), |
| 3806 | 0, |
| 3807 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3808 | |
| 3809 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3810 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3811 | // Batch 0 |
| 3812 | 1.0f, 2.0f, 3.0f, |
| 3813 | |
| 3814 | // Batch 1 |
| 3815 | 10.0f, 11.0f, 12.0f, |
| 3816 | |
| 3817 | // Batch 2 |
| 3818 | 4.0f, 5.0f, 6.0f, |
| 3819 | |
| 3820 | // Batch 3 |
| 3821 | 13.0f, 14.0f, 15.0f, |
| 3822 | |
| 3823 | // Batch 4 |
| 3824 | 7.0f, 8.0f, 9.0f, |
| 3825 | |
| 3826 | // Batch 5 |
| 3827 | 16.0f, 17.0f, 18.0f, |
| 3828 | })); |
| 3829 | |
| 3830 | return result; |
| 3831 | } |
| 3832 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3833 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 3834 | armnn::IWorkloadFactory& workloadFactory, |
| 3835 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3836 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3837 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3838 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3839 | } |
| 3840 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3841 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3842 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 3843 | armnn::IWorkloadFactory& workloadFactory, |
| 3844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3845 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3846 | int32_t qOffset) |
| 3847 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3848 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3849 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3850 | // Batch 0 |
| 3851 | 1.0f, 2.0f, 3.0f, |
| 3852 | |
| 3853 | // Batch 1 |
| 3854 | 10.0f, 11.0f, 12.0f, |
| 3855 | })); |
| 3856 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3857 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3858 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3859 | // Batch 0 |
| 3860 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 3861 | |
| 3862 | // Batch 1 |
| 3863 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 3864 | })); |
| 3865 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3866 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3867 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3868 | // Batch 0 |
| 3869 | 9.0f, |
| 3870 | |
| 3871 | // Batch 1 |
| 3872 | 18.0f |
| 3873 | })); |
| 3874 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3875 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3876 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 3877 | |
| 3878 | std::vector<T> output; |
| 3879 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3880 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3881 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 3882 | { input0.data(), input1.data(), input2.data() }, |
| 3883 | outputTensorInfo, |
| 3884 | output.data(), |
| 3885 | 1, |
| 3886 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3887 | |
| 3888 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 3889 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3890 | // Batch 0 |
| 3891 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 3892 | |
| 3893 | // Batch 1 |
| 3894 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 3895 | })); |
| 3896 | |
| 3897 | return result; |
| 3898 | } |
| 3899 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3900 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 3901 | armnn::IWorkloadFactory& workloadFactory, |
| 3902 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3903 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3904 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 3905 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3906 | } |
| 3907 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3908 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3909 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 3910 | armnn::IWorkloadFactory& workloadFactory, |
| 3911 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3912 | const armnn::TensorInfo& outputTensorInfo, |
| 3913 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3914 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3915 | float qScale, |
| 3916 | int32_t qOffset) |
| 3917 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3918 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3919 | |
| 3920 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3921 | // Batch 0, Channel 0 |
| 3922 | 1.0f, 2.0f, |
| 3923 | |
| 3924 | // Batch 0, Channel 1 |
| 3925 | 3.0f, 4.0f, |
| 3926 | |
| 3927 | // Batch 0, Channel 2 |
| 3928 | 5.0f, 6.0f, |
| 3929 | |
| 3930 | // Batch 1, Channel 0 |
| 3931 | 19.0f, 20.0f, |
| 3932 | |
| 3933 | // Batch 1, Channel 1 |
| 3934 | 21.0f, 22.0f, |
| 3935 | |
| 3936 | // Batch 1, Channel 2 |
| 3937 | 23.0f, 24.0f |
| 3938 | })); |
| 3939 | |
| 3940 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3941 | // Batch 0, Channel 0 |
| 3942 | 7.0f, 8.0f, |
| 3943 | |
| 3944 | // Batch 0, Channel 1 |
| 3945 | 9.0f, 10.0f, |
| 3946 | |
| 3947 | // Batch 0, Channel 2 |
| 3948 | 11.0f, 12.0f, |
| 3949 | |
| 3950 | // Batch 1, Channel 0 |
| 3951 | 25.0f, 26.0f, |
| 3952 | |
| 3953 | // Batch 1, Channel 1 |
| 3954 | 27.0f, 28.0f, |
| 3955 | |
| 3956 | // Batch 1, Channel 2 |
| 3957 | 29.0f, 30.0f |
| 3958 | })); |
| 3959 | |
| 3960 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3961 | // Batch 0, Channel 0 |
| 3962 | 13.0f, 14.0f, |
| 3963 | |
| 3964 | // Batch 0, Channel 1 |
| 3965 | 15.0f, 16.0f, |
| 3966 | |
| 3967 | // Batch 0, Channel 2 |
| 3968 | 17.0f, 18.0f, |
| 3969 | |
| 3970 | // Batch 1, Channel 0 |
| 3971 | 31.0f, 32.0f, |
| 3972 | |
| 3973 | // Batch 1, Channel 1 |
| 3974 | 33.0f, 34.0f, |
| 3975 | |
| 3976 | // Batch 1, Channel 2 |
| 3977 | 35.0f, 36.0f |
| 3978 | })); |
| 3979 | |
| 3980 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 3981 | |
| 3982 | std::vector<T> output; |
| 3983 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3984 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3985 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3986 | { input0.data(), input1.data(), input2.data() }, |
| 3987 | outputTensorInfo, |
| 3988 | output.data(), |
| 3989 | dimension, |
| 3990 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3991 | |
| 3992 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 3993 | return result; |
| 3994 | } |
| 3995 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3996 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3997 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 3998 | armnn::IWorkloadFactory& workloadFactory, |
| 3999 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4000 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4001 | int32_t qOffset) |
| 4002 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4003 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4004 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4005 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4006 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4007 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4008 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4009 | // Batch 0, Channel 0 |
| 4010 | 1.0f, 2.0f, |
| 4011 | |
| 4012 | // Batch 0, Channel 1 |
| 4013 | 3.0f, 4.0f, |
| 4014 | |
| 4015 | // Batch 0, Channel 2 |
| 4016 | 5.0f, 6.0f, |
| 4017 | |
| 4018 | // Batch 1, Channel 0 |
| 4019 | 19.0f, 20.0f, |
| 4020 | |
| 4021 | // Batch 1, Channel 1 |
| 4022 | 21.0f, 22.0f, |
| 4023 | |
| 4024 | // Batch 1, Channel 2 |
| 4025 | 23.0f, 24.0f, |
| 4026 | |
| 4027 | // Batch 2, Channel 0 |
| 4028 | 7.0f, 8.0f, |
| 4029 | |
| 4030 | // Batch 2, Channel 1 |
| 4031 | 9.0f, 10.0f, |
| 4032 | |
| 4033 | // Batch 2, Channel 2 |
| 4034 | 11.0f, 12.0f, |
| 4035 | |
| 4036 | // Batch 3, Channel 0 |
| 4037 | 25.0f, 26.0f, |
| 4038 | |
| 4039 | // Batch 3, Channel 1 |
| 4040 | 27.0f, 28.0f, |
| 4041 | |
| 4042 | // Batch 3, Channel 2 |
| 4043 | 29.0f, 30.0f, |
| 4044 | |
| 4045 | // Batch 4, Channel 0 |
| 4046 | 13.0f, 14.0f, |
| 4047 | |
| 4048 | // Batch 4, Channel 1 |
| 4049 | 15.0f, 16.0f, |
| 4050 | |
| 4051 | // Batch 4, Channel 2 |
| 4052 | 17.0f, 18.0f, |
| 4053 | |
| 4054 | // Batch 5, Channel 0 |
| 4055 | 31.0f, 32.0f, |
| 4056 | |
| 4057 | // Batch 5, Channel 1 |
| 4058 | 33.0f, 34.0f, |
| 4059 | |
| 4060 | // Batch 5, Channel 2 |
| 4061 | 35.0f, 36.0f |
| 4062 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4063 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4064 | return result; |
| 4065 | } |
| 4066 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4067 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 4068 | armnn::IWorkloadFactory& workloadFactory, |
| 4069 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4070 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4071 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4072 | } |
| 4073 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4074 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4075 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 4076 | armnn::IWorkloadFactory& workloadFactory, |
| 4077 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4078 | float qScale, |
| 4079 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4080 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4081 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4082 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4083 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4084 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4085 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4086 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4087 | // Batch 0, Channel 0 |
| 4088 | 1.0f, 2.0f, |
| 4089 | |
| 4090 | // Batch 0, Channel 1 |
| 4091 | 3.0f, 4.0f, |
| 4092 | |
| 4093 | // Batch 0, Channel 2 |
| 4094 | 5.0f, 6.0f, |
| 4095 | |
| 4096 | // Batch 0, Channel 3 |
| 4097 | 7.0f, 8.0f, |
| 4098 | |
| 4099 | // Batch 0, Channel 4 |
| 4100 | 9.0f, 10.0f, |
| 4101 | |
| 4102 | // Batch 0, Channel 5 |
| 4103 | 11.0f, 12.0f, |
| 4104 | |
| 4105 | // Batch 0, Channel 6 |
| 4106 | 13.0f, 14.0f, |
| 4107 | |
| 4108 | // Batch 0, Channel 7 |
| 4109 | 15.0f, 16.0f, |
| 4110 | |
| 4111 | // Batch 0, Channel 8 |
| 4112 | 17.0f, 18.0f, |
| 4113 | |
| 4114 | // Batch 1, Channel 0 |
| 4115 | 19.0f, 20.0f, |
| 4116 | |
| 4117 | // Batch 1, Channel 1 |
| 4118 | 21.0f, 22.0f, |
| 4119 | |
| 4120 | // Batch 1, Channel 2 |
| 4121 | 23.0f, 24.0f, |
| 4122 | |
| 4123 | // Batch 1, Channel 3 |
| 4124 | 25.0f, 26.0f, |
| 4125 | |
| 4126 | // Batch 1, Channel 4 |
| 4127 | 27.0f, 28.0f, |
| 4128 | |
| 4129 | // Batch 1, Channel 5 |
| 4130 | 29.0f, 30.0f, |
| 4131 | |
| 4132 | // Batch 1, Channel 6 |
| 4133 | 31.0f, 32.0f, |
| 4134 | |
| 4135 | // Batch 1, Channel 7 |
| 4136 | 33.0f, 34.0f, |
| 4137 | |
| 4138 | // Batch 1, Channel 8 |
| 4139 | 35.0f, 36.0f |
| 4140 | })); |
| 4141 | |
| 4142 | return result; |
| 4143 | } |
| 4144 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4145 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 4146 | armnn::IWorkloadFactory& workloadFactory, |
| 4147 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4148 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4149 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4150 | } |
| 4151 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4152 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4153 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 4154 | armnn::IWorkloadFactory& workloadFactory, |
| 4155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4156 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4157 | float qScale, |
| 4158 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4159 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4160 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4161 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4162 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4163 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4164 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4165 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4166 | // Batch 0, Channel 0 |
| 4167 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 4168 | |
| 4169 | // Batch 0, Channel 1 |
| 4170 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 4171 | |
| 4172 | // Batch 0, Channel 2 |
| 4173 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 4174 | |
| 4175 | // Batch 1, Channel 0 |
| 4176 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 4177 | |
| 4178 | // Batch 1, Channel 1 |
| 4179 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 4180 | |
| 4181 | // Batch 1, Channel 2 |
| 4182 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 4183 | })); |
| 4184 | |
| 4185 | return result; |
| 4186 | } |
| 4187 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4188 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 4189 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4190 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4191 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4192 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4193 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 4194 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4195 | } |
| 4196 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4197 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4198 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 4199 | armnn::IWorkloadFactory& workloadFactory, |
| 4200 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4201 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4202 | int32_t qOffset) |
| 4203 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4204 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4205 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4206 | // Batch 0, Channel 0 |
| 4207 | 1.0f, 2.0f, |
| 4208 | |
| 4209 | // Batch 0, Channel 1 |
| 4210 | 3.0f, 4.0f, |
| 4211 | |
| 4212 | // Batch 0, Channel 2 |
| 4213 | 5.0f, 6.0f, |
| 4214 | |
| 4215 | // Batch 1, Channel 0 |
| 4216 | 19.0f, 20.0f, |
| 4217 | |
| 4218 | // Batch 1, Channel 1 |
| 4219 | 21.0f, 22.0f, |
| 4220 | |
| 4221 | // Batch 1, Channel 2 |
| 4222 | 23.0f, 24.0f |
| 4223 | })); |
| 4224 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4225 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4226 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4227 | // Batch 0, Channel 0 |
| 4228 | 7.0f, 8.0f, |
| 4229 | |
| 4230 | // Batch 0, Channel 1 |
| 4231 | 9.0f, 10.0f, |
| 4232 | |
| 4233 | // Batch 0, Channel 2 |
| 4234 | 11.0f, 12.0f, |
| 4235 | })); |
| 4236 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4237 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4238 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4239 | // Batch 0, Channel 0 |
| 4240 | 25.0f, 26.0f, |
| 4241 | |
| 4242 | // Batch 0, Channel 1 |
| 4243 | 27.0f, 28.0f, |
| 4244 | |
| 4245 | // Batch 0, Channel 2 |
| 4246 | 29.0f, 30.0f, |
| 4247 | |
| 4248 | // Batch 1, Channel 0 |
| 4249 | 13.0f, 14.0f, |
| 4250 | |
| 4251 | // Batch 1, Channel 1 |
| 4252 | 15.0f, 16.0f, |
| 4253 | |
| 4254 | // Batch 1, Channel 2 |
| 4255 | 17.0f, 18.0f, |
| 4256 | |
| 4257 | // Batch 2, Channel 0 |
| 4258 | 31.0f, 32.0f, |
| 4259 | |
| 4260 | // Batch 2, Channel 1 |
| 4261 | 33.0f, 34.0f, |
| 4262 | |
| 4263 | // Batch 2, Channel 2 |
| 4264 | 35.0f, 36.0f |
| 4265 | })); |
| 4266 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4267 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4268 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4269 | |
| 4270 | std::vector<T> output; |
| 4271 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4272 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4273 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4274 | { input0.data(), input1.data(), input2.data() }, |
| 4275 | outputTensorInfo, |
| 4276 | output.data(), |
| 4277 | 0, |
| 4278 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4279 | |
| 4280 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4281 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4282 | // Batch 0, Channel 0 |
| 4283 | 1.0f, 2.0f, |
| 4284 | |
| 4285 | // Batch 0, Channel 1 |
| 4286 | 3.0f, 4.0f, |
| 4287 | |
| 4288 | // Batch 0, Channel 2 |
| 4289 | 5.0f, 6.0f, |
| 4290 | |
| 4291 | // Batch 1, Channel 0 |
| 4292 | 19.0f, 20.0f, |
| 4293 | |
| 4294 | // Batch 1, Channel 1 |
| 4295 | 21.0f, 22.0f, |
| 4296 | |
| 4297 | // Batch 1, Channel 2 |
| 4298 | 23.0f, 24.0f, |
| 4299 | |
| 4300 | // Batch 2, Channel 0 |
| 4301 | 7.0f, 8.0f, |
| 4302 | |
| 4303 | // Batch 2, Channel 1 |
| 4304 | 9.0f, 10.0f, |
| 4305 | |
| 4306 | // Batch 2, Channel 2 |
| 4307 | 11.0f, 12.0f, |
| 4308 | |
| 4309 | // Batch 3, Channel 0 |
| 4310 | 25.0f, 26.0f, |
| 4311 | |
| 4312 | // Batch 3, Channel 1 |
| 4313 | 27.0f, 28.0f, |
| 4314 | |
| 4315 | // Batch 3, Channel 2 |
| 4316 | 29.0f, 30.0f, |
| 4317 | |
| 4318 | // Batch 4, Channel 0 |
| 4319 | 13.0f, 14.0f, |
| 4320 | |
| 4321 | // Batch 4, Channel 1 |
| 4322 | 15.0f, 16.0f, |
| 4323 | |
| 4324 | // Batch 4, Channel 2 |
| 4325 | 17.0f, 18.0f, |
| 4326 | |
| 4327 | // Batch 5, Channel 0 |
| 4328 | 31.0f, 32.0f, |
| 4329 | |
| 4330 | // Batch 5, Channel 1 |
| 4331 | 33.0f, 34.0f, |
| 4332 | |
| 4333 | // Batch 5, Channel 2 |
| 4334 | 35.0f, 36.0f |
| 4335 | })); |
| 4336 | |
| 4337 | return result; |
| 4338 | } |
| 4339 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4340 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 4341 | armnn::IWorkloadFactory& workloadFactory, |
| 4342 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4343 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4344 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4345 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4346 | } |
| 4347 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4348 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4349 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 4350 | armnn::IWorkloadFactory& workloadFactory, |
| 4351 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4352 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4353 | int32_t qOffset) |
| 4354 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4355 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4356 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4357 | // Batch 0, Channel 0 |
| 4358 | 1.0f, 2.0f, |
| 4359 | |
| 4360 | // Batch 0, Channel 1 |
| 4361 | 3.0f, 4.0f, |
| 4362 | |
| 4363 | // Batch 0, Channel 2 |
| 4364 | 5.0f, 6.0f, |
| 4365 | |
| 4366 | // Batch 1, Channel 0 |
| 4367 | 19.0f, 20.0f, |
| 4368 | |
| 4369 | // Batch 1, Channel 1 |
| 4370 | 21.0f, 22.0f, |
| 4371 | |
| 4372 | // Batch 1, Channel 2 |
| 4373 | 23.0f, 24.0f |
| 4374 | })); |
| 4375 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4376 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4377 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4378 | // Batch 0, Channel 0 |
| 4379 | 7.0f, 8.0f, |
| 4380 | |
| 4381 | // Batch 0, Channel 1 |
| 4382 | 9.0f, 10.0f, |
| 4383 | |
| 4384 | // Batch 0, Channel 2 |
| 4385 | 11.0f, 12.0f, |
| 4386 | |
| 4387 | // Batch 0, Channel 3 |
| 4388 | 25.0f, 26.0f, |
| 4389 | |
| 4390 | // Batch 1, Channel 0 |
| 4391 | 27.0f, 28.0f, |
| 4392 | |
| 4393 | // Batch 1, Channel 1 |
| 4394 | 29.0f, 30.0f, |
| 4395 | |
| 4396 | // Batch 1, Channel 2 |
| 4397 | 13.0f, 14.0f, |
| 4398 | |
| 4399 | // Batch 1, Channel 3 |
| 4400 | 15.0f, 16.0f, |
| 4401 | })); |
| 4402 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4403 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4404 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4405 | // Batch 0, Channel 0 |
| 4406 | 17.0f, 18.0f, |
| 4407 | |
| 4408 | // Batch 1, Channel 0 |
| 4409 | 31.0f, 32.0f, |
| 4410 | })); |
| 4411 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4412 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4413 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4414 | |
| 4415 | std::vector<T> output; |
| 4416 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4417 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4418 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4419 | { input0.data(), input1.data(), input2.data() }, |
| 4420 | outputTensorInfo, |
| 4421 | output.data(), |
| 4422 | 1, |
| 4423 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4424 | |
| 4425 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4426 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4427 | // Batch 0, Channel 0 |
| 4428 | 1.0f, 2.0f, |
| 4429 | |
| 4430 | // Batch 0, Channel 1 |
| 4431 | 3.0f, 4.0f, |
| 4432 | |
| 4433 | // Batch 0, Channel 2 |
| 4434 | 5.0f, 6.0f, |
| 4435 | |
| 4436 | // Batch 0, Channel 3 |
| 4437 | 7.0f, 8.0f, |
| 4438 | |
| 4439 | // Batch 0, Channel 4 |
| 4440 | 9.0f, 10.0f, |
| 4441 | |
| 4442 | // Batch 0, Channel 5 |
| 4443 | 11.0f, 12.0f, |
| 4444 | |
| 4445 | // Batch 0, Channel 6 |
| 4446 | 25.0f, 26.0f, |
| 4447 | |
| 4448 | // Batch 0, Channel 7 |
| 4449 | 17.0f, 18.0f, |
| 4450 | |
| 4451 | // Batch 1, Channel 0 |
| 4452 | 19.0f, 20.0f, |
| 4453 | |
| 4454 | // Batch 1, Channel 1 |
| 4455 | 21.0f, 22.0f, |
| 4456 | |
| 4457 | // Batch 1, Channel 2 |
| 4458 | 23.0f, 24.0f, |
| 4459 | |
| 4460 | // Batch 1, Channel 3 |
| 4461 | 27.0f, 28.0f, |
| 4462 | |
| 4463 | // Batch 1, Channel 4 |
| 4464 | 29.0f, 30.0f, |
| 4465 | |
| 4466 | // Batch 1, Channel 5 |
| 4467 | 13.0f, 14.0f, |
| 4468 | |
| 4469 | // Batch 1, Channel 6 |
| 4470 | 15.0f, 16.0f, |
| 4471 | |
| 4472 | // Batch 1, Channel 7 |
| 4473 | 31.0f, 32.0f, |
| 4474 | })); |
| 4475 | |
| 4476 | return result; |
| 4477 | } |
| 4478 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4479 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 4480 | armnn::IWorkloadFactory& workloadFactory, |
| 4481 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4482 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4483 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4484 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4485 | } |
| 4486 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4487 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4488 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 4489 | armnn::IWorkloadFactory& workloadFactory, |
| 4490 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4491 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4492 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4493 | int32_t qOffset) |
| 4494 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4495 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4496 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4497 | // Batch 0, Channel 0 |
| 4498 | 1.0f, 2.0f, |
| 4499 | |
| 4500 | // Batch 0, Channel 1 |
| 4501 | 3.0f, 4.0f, |
| 4502 | |
| 4503 | // Batch 0, Channel 2 |
| 4504 | 5.0f, 6.0f, |
| 4505 | |
| 4506 | // Batch 1, Channel 0 |
| 4507 | 19.0f, 20.0f, |
| 4508 | |
| 4509 | // Batch 1, Channel 1 |
| 4510 | 21.0f, 22.0f, |
| 4511 | |
| 4512 | // Batch 1, Channel 2 |
| 4513 | 23.0f, 24.0f |
| 4514 | })); |
| 4515 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4516 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4517 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4518 | // Batch 0, Channel 0 |
| 4519 | 7.0f, |
| 4520 | |
| 4521 | // Batch 0, Channel 1 |
| 4522 | 9.0f, |
| 4523 | |
| 4524 | // Batch 0, Channel 2 |
| 4525 | 11.0f, |
| 4526 | |
| 4527 | // Batch 1, Channel 0 |
| 4528 | 25.0f, |
| 4529 | |
| 4530 | // Batch 1, Channel 1 |
| 4531 | 27.0f, |
| 4532 | |
| 4533 | // Batch 1, Channel 2 |
| 4534 | 29.0f |
| 4535 | })); |
| 4536 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4537 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4538 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4539 | // Batch 0, Channel 0 |
| 4540 | 13.0f, 14.0f, 50.0f, |
| 4541 | |
| 4542 | // Batch 0, Channel 1 |
| 4543 | 15.0f, 16.0f, 51.0f, |
| 4544 | |
| 4545 | // Batch 0, Channel 2 |
| 4546 | 17.0f, 18.0f, 52.0f, |
| 4547 | |
| 4548 | // Batch 1, Channel 0 |
| 4549 | 31.0f, 32.0f, 53.0f, |
| 4550 | |
| 4551 | // Batch 1, Channel 1 |
| 4552 | 33.0f, 34.0f, 54.0f, |
| 4553 | |
| 4554 | // Batch 1, Channel 2 |
| 4555 | 35.0f, 36.0f, 55.0f, |
| 4556 | })); |
| 4557 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4558 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4559 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4560 | |
| 4561 | std::vector<T> output; |
| 4562 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4563 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4564 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4565 | { input0.data(), input1.data(), input2.data() }, |
| 4566 | outputTensorInfo, |
| 4567 | output.data(), |
| 4568 | 2, |
| 4569 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4570 | |
| 4571 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4572 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4573 | // Batch 0, Channel 0 |
| 4574 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 4575 | |
| 4576 | // Batch 0, Channel 1 |
| 4577 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 4578 | |
| 4579 | // Batch 0, Channel 2 |
| 4580 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 4581 | |
| 4582 | // Batch 1, Channel 0 |
| 4583 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 4584 | |
| 4585 | // Batch 1, Channel 1 |
| 4586 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 4587 | |
| 4588 | // Batch 1, Channel 2 |
| 4589 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 4590 | })); |
| 4591 | |
| 4592 | return result; |
| 4593 | } |
| 4594 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4595 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 4596 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4597 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4598 | bool useSubtensor) |
| 4599 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4600 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4601 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4602 | } |
| 4603 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4604 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4605 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 4606 | armnn::IWorkloadFactory& workloadFactory, |
| 4607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4608 | const armnn::TensorInfo& outputTensorInfo, |
| 4609 | unsigned int dimension, |
| 4610 | bool useSubtensor, |
| 4611 | float qScale, |
| 4612 | int32_t qOffset) |
| 4613 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4614 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4615 | |
| 4616 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4617 | 1.0f, 2.0f, |
| 4618 | 3.0f, 4.0f, |
| 4619 | 5.0f, 6.0f, |
| 4620 | 7.0f, 8.0f, |
| 4621 | 9.0f, 10.0f, |
| 4622 | 11.0f, 12.0f |
| 4623 | })); |
| 4624 | |
| 4625 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4626 | 11.0f, 12.0f, |
| 4627 | 13.0f, 14.0f, |
| 4628 | 15.0f, 16.0f, |
| 4629 | 17.0f, 18.0f, |
| 4630 | 19.0f, 20.0f, |
| 4631 | 21.0f, 22.0f |
| 4632 | })); |
| 4633 | |
| 4634 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4635 | 21.0f, 22.0f, |
| 4636 | 23.0f, 24.0f, |
| 4637 | 25.0f, 26.0f, |
| 4638 | 27.0f, 28.0f, |
| 4639 | 29.0f, 30.0f, |
| 4640 | 31.0f, 32.0f |
| 4641 | })); |
| 4642 | |
| 4643 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4644 | |
| 4645 | std::vector<T> output; |
| 4646 | output.resize(outputTensorInfo.GetNumElements()); |
| 4647 | |
| 4648 | Concatenate<T>(workloadFactory, |
| 4649 | memoryManager, |
| 4650 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 4651 | {input0.data(), input1.data(), input2.data()}, |
| 4652 | outputTensorInfo, |
| 4653 | output.data(), |
| 4654 | dimension, |
| 4655 | useSubtensor); |
| 4656 | |
| 4657 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4658 | return result; |
| 4659 | } |
| 4660 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4661 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4662 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 4663 | armnn::IWorkloadFactory& workloadFactory, |
| 4664 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4665 | float qScale, |
| 4666 | int32_t qOffset) |
| 4667 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4668 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4669 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4670 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4671 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4672 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4673 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4674 | 1.0f, 2.0f, |
| 4675 | 3.0f, 4.0f, |
| 4676 | 5.0f, 6.0f, |
| 4677 | 7.0f, 8.0f, |
| 4678 | 9.0f, 10.0f, |
| 4679 | 11.0f, 12.0f, |
| 4680 | |
| 4681 | 11.0f, 12.0f, |
| 4682 | 13.0f, 14.0f, |
| 4683 | 15.0f, 16.0f, |
| 4684 | 17.0f, 18.0f, |
| 4685 | 19.0f, 20.0f, |
| 4686 | 21.0f, 22.0f, |
| 4687 | |
| 4688 | 21.0f, 22.0f, |
| 4689 | 23.0f, 24.0f, |
| 4690 | 25.0f, 26.0f, |
| 4691 | 27.0f, 28.0f, |
| 4692 | 29.0f, 30.0f, |
| 4693 | 31.0f, 32.0f |
| 4694 | })); |
| 4695 | return result; |
| 4696 | } |
| 4697 | |
| 4698 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 4699 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4701 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4702 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4703 | } |
| 4704 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4705 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4706 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 4707 | armnn::IWorkloadFactory& workloadFactory, |
| 4708 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4709 | float qScale, |
| 4710 | int32_t qOffset) |
| 4711 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4712 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4713 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4714 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4715 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 4716 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4717 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4718 | 1.0f, 2.0f, |
| 4719 | 3.0f, 4.0f, |
| 4720 | 5.0f, 6.0f, |
| 4721 | 7.0f, 8.0f, |
| 4722 | 9.0f, 10.0f, |
| 4723 | 11.0f, 12.0f, |
| 4724 | |
| 4725 | 11.0f, 12.0f, |
| 4726 | 13.0f, 14.0f, |
| 4727 | 15.0f, 16.0f, |
| 4728 | 17.0f, 18.0f, |
| 4729 | 19.0f, 20.0f, |
| 4730 | 21.0f, 22.0f, |
| 4731 | |
| 4732 | 21.0f, 22.0f, |
| 4733 | 23.0f, 24.0f, |
| 4734 | 25.0f, 26.0f, |
| 4735 | 27.0f, 28.0f, |
| 4736 | 29.0f, 30.0f, |
| 4737 | 31.0f, 32.0f |
| 4738 | })); |
| 4739 | |
| 4740 | return result; |
| 4741 | } |
| 4742 | |
| 4743 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 4744 | armnn::IWorkloadFactory& workloadFactory, |
| 4745 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4746 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4747 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4748 | } |
| 4749 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4750 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4751 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 4752 | armnn::IWorkloadFactory& workloadFactory, |
| 4753 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4754 | float qScale, |
| 4755 | int32_t qOffset) |
| 4756 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4757 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4758 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4759 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4760 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 4761 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4762 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4763 | 1.0f, 2.0f, |
| 4764 | 3.0f, 4.0f, |
| 4765 | 11.0f, 12.0f, |
| 4766 | 13.0f, 14.0f, |
| 4767 | 21.0f, 22.0f, |
| 4768 | 23.0f, 24.0f, |
| 4769 | |
| 4770 | 5.0f, 6.0f, |
| 4771 | 7.0f, 8.0f, |
| 4772 | 15.0f, 16.0f, |
| 4773 | 17.0f, 18.0f, |
| 4774 | 25.0f, 26.0f, |
| 4775 | 27.0f, 28.0f, |
| 4776 | |
| 4777 | 9.0f, 10.0f, |
| 4778 | 11.0f, 12.0f, |
| 4779 | 19.0f, 20.0f, |
| 4780 | 21.0f, 22.0f, |
| 4781 | 29.0f, 30.0f, |
| 4782 | 31.0f, 32.0f |
| 4783 | })); |
| 4784 | |
| 4785 | return result; |
| 4786 | } |
| 4787 | |
| 4788 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 4789 | armnn::IWorkloadFactory& workloadFactory, |
| 4790 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4791 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4792 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4793 | } |
| 4794 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4795 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4796 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 4797 | armnn::IWorkloadFactory& workloadFactory, |
| 4798 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4799 | float qScale, |
| 4800 | int32_t qOffset, |
| 4801 | bool useSubtensor) |
| 4802 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4803 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4804 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4805 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 4806 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 4807 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4808 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4809 | 1.0f, 2.0f, |
| 4810 | 11.0f, 12.0f, |
| 4811 | 21.0f, 22.0f, |
| 4812 | 3.0f, 4.0f, |
| 4813 | 13.0f, 14.0f, |
| 4814 | 23.0f, 24.0f, |
| 4815 | |
| 4816 | 5.0f, 6.0f, |
| 4817 | 15.0f, 16.0f, |
| 4818 | 25.0f, 26.0f, |
| 4819 | 7.0f, 8.0f, |
| 4820 | 17.0f, 18.0f, |
| 4821 | 27.0f, 28.0f, |
| 4822 | |
| 4823 | 9.0f, 10.0f, |
| 4824 | 19.0f, 20.0f, |
| 4825 | 29.0f, 30.0f, |
| 4826 | 11.0f, 12.0f, |
| 4827 | 21.0f, 22.0f, |
| 4828 | 31.0f, 32.0f |
| 4829 | })); |
| 4830 | |
| 4831 | return result; |
| 4832 | } |
| 4833 | |
| 4834 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 4835 | armnn::IWorkloadFactory& workloadFactory, |
| 4836 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4837 | bool useSubtensor) |
| 4838 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4839 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 4840 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4841 | } |
| 4842 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4843 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4844 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 4845 | armnn::IWorkloadFactory& workloadFactory, |
| 4846 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4847 | float qScale, |
| 4848 | int32_t qOffset) |
| 4849 | { |
| 4850 | unsigned int dimension = 0; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4851 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4852 | |
| 4853 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4854 | 1.0f, 2.0f, |
| 4855 | 3.0f, 4.0f, |
| 4856 | 5.0f, 6.0f, |
| 4857 | 7.0f, 8.0f, |
| 4858 | 9.0f, 10.0f, |
| 4859 | 11.0f, 12.0f |
| 4860 | })); |
| 4861 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4862 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4863 | |
| 4864 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4865 | 11.0f, 12.0f, |
| 4866 | 13.0f, 14.0f, |
| 4867 | 15.0f, 16.0f, |
| 4868 | 17.0f, 18.0f, |
| 4869 | 19.0f, 20.0f, |
| 4870 | 21.0f, 22.0f, |
| 4871 | |
| 4872 | 21.0f, 22.0f, |
| 4873 | 23.0f, 24.0f, |
| 4874 | 25.0f, 26.0f, |
| 4875 | 27.0f, 28.0f, |
| 4876 | 29.0f, 30.0f, |
| 4877 | 31.0f, 32.0f |
| 4878 | |
| 4879 | })); |
| 4880 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4881 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4882 | |
| 4883 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4884 | |
| 4885 | std::vector<T> output; |
| 4886 | output.resize(outputTensorInfo.GetNumElements()); |
| 4887 | Concatenate<T>(workloadFactory, |
| 4888 | memoryManager, |
| 4889 | {inputTensorInfo0, inputTensorInfo1}, |
| 4890 | {input0.data(), input1.data()}, |
| 4891 | outputTensorInfo, |
| 4892 | output.data(), |
| 4893 | dimension, |
| 4894 | true); |
| 4895 | |
| 4896 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4897 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4898 | 1.0f, 2.0f, |
| 4899 | 3.0f, 4.0f, |
| 4900 | 5.0f, 6.0f, |
| 4901 | 7.0f, 8.0f, |
| 4902 | 9.0f, 10.0f, |
| 4903 | 11.0f, 12.0f, |
| 4904 | |
| 4905 | 11.0f, 12.0f, |
| 4906 | 13.0f, 14.0f, |
| 4907 | 15.0f, 16.0f, |
| 4908 | 17.0f, 18.0f, |
| 4909 | 19.0f, 20.0f, |
| 4910 | 21.0f, 22.0f, |
| 4911 | |
| 4912 | 21.0f, 22.0f, |
| 4913 | 23.0f, 24.0f, |
| 4914 | 25.0f, 26.0f, |
| 4915 | 27.0f, 28.0f, |
| 4916 | 29.0f, 30.0f, |
| 4917 | 31.0f, 32.0f |
| 4918 | })); |
| 4919 | |
| 4920 | return result; |
| 4921 | } |
| 4922 | |
| 4923 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 4924 | armnn::IWorkloadFactory& workloadFactory, |
| 4925 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4926 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4927 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 4928 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4929 | } |
| 4930 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4931 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4932 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 4933 | armnn::IWorkloadFactory& workloadFactory, |
| 4934 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4935 | float qScale, |
| 4936 | int32_t qOffset) |
| 4937 | { |
| 4938 | unsigned int dimension = 1; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4939 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4940 | |
| 4941 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 4942 | 1.0f, 2.0f, |
| 4943 | 3.0f, 4.0f, |
| 4944 | 5.0f, 6.0f, |
| 4945 | 7.0f, 8.0f, |
| 4946 | 9.0f, 10.0f, |
| 4947 | 11.0f, 12.0f |
| 4948 | })); |
| 4949 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4950 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4951 | |
| 4952 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 4953 | 11.0f, 12.0f, |
| 4954 | 13.0f, 14.0f, |
| 4955 | 15.0f, 16.0f, |
| 4956 | 17.0f, 18.0f, |
| 4957 | |
| 4958 | })); |
| 4959 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4960 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4961 | |
| 4962 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4963 | |
| 4964 | std::vector<T> output; |
| 4965 | output.resize(outputTensorInfo.GetNumElements()); |
| 4966 | Concatenate<T>(workloadFactory, |
| 4967 | memoryManager, |
| 4968 | {inputTensorInfo0, inputTensorInfo1}, |
| 4969 | {input0.data(), input1.data()}, |
| 4970 | outputTensorInfo, |
| 4971 | output.data(), |
| 4972 | dimension, |
| 4973 | true); |
| 4974 | |
| 4975 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4976 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4977 | 1.0f, 2.0f, |
| 4978 | 3.0f, 4.0f, |
| 4979 | 5.0f, 6.0f, |
| 4980 | 7.0f, 8.0f, |
| 4981 | 9.0f, 10.0f, |
| 4982 | 11.0f, 12.0f, |
| 4983 | 11.0f, 12.0f, |
| 4984 | 13.0f, 14.0f, |
| 4985 | 15.0f, 16.0f, |
| 4986 | 17.0f, 18.0f |
| 4987 | })); |
| 4988 | |
| 4989 | return result; |
| 4990 | } |
| 4991 | |
| 4992 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 4993 | armnn::IWorkloadFactory& workloadFactory, |
| 4994 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 4995 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4996 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 4997 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4998 | } |
| 4999 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5000 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5001 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 5002 | armnn::IWorkloadFactory& workloadFactory, |
| 5003 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5004 | float qScale, |
| 5005 | int32_t qOffset) |
| 5006 | { |
| 5007 | unsigned int dimension = 2; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5008 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5009 | |
| 5010 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5011 | 1.0f, 2.0f, |
| 5012 | 3.0f, 4.0f, |
| 5013 | 5.0f, 6.0f, |
| 5014 | 7.0f, 8.0f, |
| 5015 | 9.0f, 10.0f, |
| 5016 | 11.0f, 12.0f |
| 5017 | })); |
| 5018 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5019 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5020 | |
| 5021 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5022 | 11.0f, 12.0f, |
| 5023 | 13.0f, 14.0f, |
| 5024 | 15.0f, 16.0f, |
| 5025 | 17.0f, 18.0f, |
| 5026 | 19.0f, 20.0f, |
| 5027 | 21.0f, 22.0f, |
| 5028 | 23.0f, 24.0f, |
| 5029 | 25.0f, 26.0f, |
| 5030 | 27.0f, 28.0f |
| 5031 | })); |
| 5032 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5033 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5034 | |
| 5035 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5036 | |
| 5037 | std::vector<T> output; |
| 5038 | output.resize(outputTensorInfo.GetNumElements()); |
| 5039 | Concatenate<T>(workloadFactory, |
| 5040 | memoryManager, |
| 5041 | {inputTensorInfo0, inputTensorInfo1}, |
| 5042 | {input0.data(), input1.data()}, |
| 5043 | outputTensorInfo, |
| 5044 | output.data(), |
| 5045 | dimension, |
| 5046 | true); |
| 5047 | |
| 5048 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5049 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5050 | 1.0f, 2.0f, |
| 5051 | 3.0f, 4.0f, |
| 5052 | 11.0f, 12.0f, |
| 5053 | 13.0f, 14.0f, |
| 5054 | 15.0f, 16.0f, |
| 5055 | |
| 5056 | 5.0f, 6.0f, |
| 5057 | 7.0f, 8.0f, |
| 5058 | 17.0f, 18.0f, |
| 5059 | 19.0f, 20.0f, |
| 5060 | 21.0f, 22.0f, |
| 5061 | |
| 5062 | 9.0f, 10.0f, |
| 5063 | 11.0f, 12.0f, |
| 5064 | 23.0f, 24.0f, |
| 5065 | 25.0f, 26.0f, |
| 5066 | 27.0f, 28.0f |
| 5067 | })); |
| 5068 | |
| 5069 | return result; |
| 5070 | } |
| 5071 | |
| 5072 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 5073 | armnn::IWorkloadFactory& workloadFactory, |
| 5074 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5075 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5076 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 5077 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5078 | } |
| 5079 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5080 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5081 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 5082 | armnn::IWorkloadFactory& workloadFactory, |
| 5083 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5084 | float qScale, |
| 5085 | int32_t qOffset, |
| 5086 | bool useSubtensor) |
| 5087 | { |
| 5088 | unsigned int dimension = 3; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5089 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5090 | |
| 5091 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5092 | 1.0f, 2.0f, |
| 5093 | 3.0f, 4.0f, |
| 5094 | 5.0f, 6.0f, |
| 5095 | 7.0f, 8.0f, |
| 5096 | 9.0f, 10.0f, |
| 5097 | 11.0f, 12.0f |
| 5098 | })); |
| 5099 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5100 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5101 | |
| 5102 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5103 | 11.0f, 12.0f, 13.0f, |
| 5104 | 14.0f, 15.0f, 16.0f, |
| 5105 | |
| 5106 | 17.0f, 18.0f, 19.0f, |
| 5107 | 20.0f, 21.0f, 22.0f, |
| 5108 | |
| 5109 | 23.0f, 24.0f, 25.0f, |
| 5110 | 26.0f, 27.0f, 28.0f |
| 5111 | })); |
| 5112 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5113 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5114 | |
| 5115 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5116 | |
| 5117 | std::vector<T> output; |
| 5118 | output.resize(outputTensorInfo.GetNumElements()); |
| 5119 | Concatenate<T>(workloadFactory, |
| 5120 | memoryManager, |
| 5121 | {inputTensorInfo0, inputTensorInfo1}, |
| 5122 | {input0.data(), input1.data()}, |
| 5123 | outputTensorInfo, |
| 5124 | output.data(), |
| 5125 | dimension, |
| 5126 | useSubtensor); |
| 5127 | |
| 5128 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5129 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5130 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 5131 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 5132 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 5133 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 5134 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 5135 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 5136 | })); |
| 5137 | |
| 5138 | return result; |
| 5139 | } |
| 5140 | |
| 5141 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 5142 | armnn::IWorkloadFactory& workloadFactory, |
| 5143 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5144 | bool useSubtensor) |
| 5145 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5146 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 5147 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5148 | } |
| 5149 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5150 | LayerTestResult<float, 4> ResizeBilinearNopTest( |
| 5151 | armnn::IWorkloadFactory& workloadFactory, |
| 5152 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5153 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5154 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5155 | const armnn::TensorInfo inputTensorInfo = |
| 5156 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 5157 | |
| 5158 | const armnn::TensorInfo outputTensorInfo = |
| 5159 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5160 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5161 | std::vector<float> inputData({ |
| 5162 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5163 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5164 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 5165 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 5166 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5167 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5168 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5169 | 3.0f, 4.0f, 5.0f, 6.0f, |
| 5170 | 4.0f, 5.0f, 6.0f, 7.0f |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5171 | }); |
| 5172 | |
| 5173 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5174 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5175 | { |
| 5176 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5177 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5178 | inputData = tmp; |
| 5179 | } |
| 5180 | |
| 5181 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5182 | |
| 5183 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 5184 | result.outputExpected = input; |
| 5185 | |
| 5186 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5187 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5188 | |
| 5189 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5190 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
| 5191 | armnn::WorkloadInfo info; |
| 5192 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5193 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5194 | |
| 5195 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5196 | |
| 5197 | inputHandle->Allocate(); |
| 5198 | outputHandle->Allocate(); |
| 5199 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5200 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5201 | workload->PostAllocationConfigure(); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5202 | workload->Execute(); |
| 5203 | |
| 5204 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5205 | return result; |
| 5206 | } |
| 5207 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5208 | LayerTestResult<float, 4> SimpleResizeBilinearTest( |
| 5209 | armnn::IWorkloadFactory& workloadFactory, |
| 5210 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5211 | const armnn::DataLayout dataLayout) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5212 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5213 | const armnn::TensorInfo inputTensorInfo = |
| 5214 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
| 5215 | |
| 5216 | const armnn::TensorInfo outputTensorInfo = |
| 5217 | armnnUtils::GetTensorInfo(1, 2, 1, 1, dataLayout, armnn::DataType::Float32); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5218 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5219 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5220 | 1.0f, 255.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5221 | 200.0f, 250.0f, |
| 5222 | |
| 5223 | 250.0f, 200.0f, |
| 5224 | 250.0f, 1.0f |
| 5225 | }); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5226 | |
| 5227 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 5228 | // 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] | 5229 | // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as |
| 5230 | // its single element, the value that was at position (0,0) of the input matrix (rather than an average, |
| 5231 | // which we would expect if projecting the centre). |
| 5232 | |
| 5233 | std::vector<float> outputData({ |
| 5234 | 1.0f, |
| 5235 | |
| 5236 | 250.0f |
| 5237 | }); |
| 5238 | |
| 5239 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5240 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5241 | { |
| 5242 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5243 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5244 | inputData = tmp; |
| 5245 | |
| 5246 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5247 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5248 | outputData = tmp1; |
| 5249 | } |
| 5250 | |
| 5251 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5252 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5253 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5254 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5255 | |
| 5256 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5257 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5258 | |
| 5259 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 5260 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5261 | armnn::WorkloadInfo info; |
| 5262 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5263 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5264 | |
| 5265 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5266 | |
| 5267 | inputHandle->Allocate(); |
| 5268 | outputHandle->Allocate(); |
| 5269 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5270 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5271 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5272 | workload->Execute(); |
| 5273 | |
| 5274 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5275 | return result; |
| 5276 | } |
| 5277 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5278 | LayerTestResult<float, 4> ResizeBilinearSqMinTest( |
| 5279 | armnn::IWorkloadFactory& workloadFactory, |
| 5280 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5281 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5282 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5283 | const armnn::TensorInfo inputTensorInfo = |
| 5284 | armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, armnn::DataType::Float32); |
| 5285 | |
| 5286 | const armnn::TensorInfo outputTensorInfo = |
| 5287 | armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5288 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5289 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5290 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 5291 | 2.0f, 3.0f, 4.0f, 5.0f, |
| 5292 | 3.0f, 4.0f, 5.0f, 6.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5293 | 4.0f, 5.0f, 6.0f, 7.0f, |
| 5294 | |
| 5295 | 7.0f, 6.0f, 5.0f, 4.0f, |
| 5296 | 6.0f, 5.0f, 4.0f, 3.0f, |
| 5297 | 5.0f, 4.0f, 3.0f, 2.0f, |
| 5298 | 4.0f, 3.0f, 2.0f, 1.0f |
| 5299 | }); |
| 5300 | |
| 5301 | std::vector<float> outputData({ |
| 5302 | 1.0f, 3.0f, |
| 5303 | 3.0f, 5.0f, |
| 5304 | |
| 5305 | 7.0f, 5.0f, |
| 5306 | 5.0f, 3.0f |
| 5307 | }); |
| 5308 | |
| 5309 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5310 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5311 | { |
| 5312 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5313 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5314 | inputData = tmp; |
| 5315 | |
| 5316 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5317 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5318 | outputData = tmp1; |
| 5319 | } |
| 5320 | |
| 5321 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5322 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5323 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5324 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5325 | |
| 5326 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5327 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5328 | |
| 5329 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5330 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5331 | armnn::WorkloadInfo info; |
| 5332 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5333 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5334 | |
| 5335 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5336 | |
| 5337 | inputHandle->Allocate(); |
| 5338 | outputHandle->Allocate(); |
| 5339 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5340 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5341 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5342 | workload->Execute(); |
| 5343 | |
| 5344 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5345 | return result; |
| 5346 | } |
| 5347 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5348 | LayerTestResult<float, 4> ResizeBilinearMinTest( |
| 5349 | armnn::IWorkloadFactory& workloadFactory, |
| 5350 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5351 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5352 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5353 | const armnn::TensorInfo inputTensorInfo = |
| 5354 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
| 5355 | |
| 5356 | const armnn::TensorInfo outputTensorInfo = |
| 5357 | armnnUtils::GetTensorInfo(1, 2, 2, 3, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5358 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5359 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5360 | 1.0f, 2.0f, 3.0f, 5.0f, 8.0f, |
| 5361 | 13.0f, 21.0f, 34.0f, 55.0f, 89.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5362 | 144.0f, 233.0f, 377.0f, 610.0f, 987.0f, |
| 5363 | |
| 5364 | 987.0f, 610.0f, 377.0f, 233.0f, 144.0f, |
| 5365 | 89.0f, 55.0f, 34.0f, 21.0f, 13.0f, |
| 5366 | 8.0f, 5.0f, 3.0f, 2.0f, 1.0f |
| 5367 | }); |
| 5368 | |
| 5369 | std::vector<float> outputData({ |
| 5370 | 1.0f, 2.6666f, 6.00f, |
| 5371 | 78.5f, 179.3333f, 401.00f, |
| 5372 | |
| 5373 | 987.0f, 454.6670f, 203.33f, |
| 5374 | 48.5f, 22.3333f, 10.00f |
| 5375 | }); |
| 5376 | |
| 5377 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5378 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5379 | { |
| 5380 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5381 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5382 | inputData = tmp; |
| 5383 | |
| 5384 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5385 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5386 | outputData = tmp1; |
| 5387 | } |
| 5388 | |
| 5389 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5390 | |
| 5391 | LayerTestResult<float, 4> result(outputTensorInfo); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5392 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5393 | |
| 5394 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5395 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5396 | |
| 5397 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5398 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5399 | armnn::WorkloadInfo info; |
| 5400 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5401 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5402 | |
| 5403 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5404 | |
| 5405 | inputHandle->Allocate(); |
| 5406 | outputHandle->Allocate(); |
| 5407 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5408 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5409 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5410 | workload->Execute(); |
| 5411 | |
| 5412 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5413 | return result; |
| 5414 | } |
| 5415 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5416 | LayerTestResult<float, 4> ResizeBilinearMagTest( |
| 5417 | armnn::IWorkloadFactory& workloadFactory, |
| 5418 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5419 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5420 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5421 | const armnn::TensorInfo inputTensorInfo = |
| 5422 | armnnUtils::GetTensorInfo(1, 2, 3, 2, dataLayout, armnn::DataType::Float32); |
| 5423 | |
| 5424 | const armnn::TensorInfo outputTensorInfo = |
| 5425 | armnnUtils::GetTensorInfo(1, 2, 3, 5, dataLayout, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5426 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5427 | std::vector<float> inputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5428 | 1.0f, 2.0f, |
| 5429 | 13.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5430 | 144.0f, 233.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5431 | |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5432 | 233.0f, 144.0f, |
| 5433 | 21.0f, 13.0f, |
| 5434 | 2.0f, 1.0f |
| 5435 | }); |
| 5436 | |
| 5437 | std::vector<float> outputData({ |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5438 | 1.0f, 1.4f, 1.8f, 2.0f, 2.0f, |
| 5439 | 13.0f, 16.2f, 19.4f, 21.0f, 21.0f, |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5440 | 144.0f, 179.6f, 215.2f, 233.0f, 233.0f, |
| 5441 | |
| 5442 | 233.0f, 197.4f, 161.8f, 144.0f, 144.0f, |
| 5443 | 21.0f, 17.8f, 14.6f, 13.0f, 13.0f, |
| 5444 | 2.0f, 1.6f, 1.2f, 1.0f, 1.0f |
| 5445 | }); |
| 5446 | |
| 5447 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5448 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5449 | { |
| 5450 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5451 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5452 | inputData = tmp; |
| 5453 | |
| 5454 | std::vector<float> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5455 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(float)); |
James Conroy | 6b96582 | 2018-11-01 11:33:09 +0000 | [diff] [blame] | 5456 | outputData = tmp1; |
| 5457 | } |
| 5458 | |
| 5459 | auto input = MakeTensor<float, 4>(inputTensorInfo, inputData); |
| 5460 | |
| 5461 | LayerTestResult<float, 4> result(outputTensorInfo); |
| 5462 | result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5463 | |
| 5464 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5465 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5466 | |
| 5467 | armnn::ResizeBilinearQueueDescriptor descriptor; |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 5468 | descriptor.m_Parameters.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5469 | armnn::WorkloadInfo info; |
| 5470 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5471 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5472 | |
| 5473 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 5474 | |
| 5475 | inputHandle->Allocate(); |
| 5476 | outputHandle->Allocate(); |
| 5477 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 5478 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5479 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5480 | workload->Execute(); |
| 5481 | |
| 5482 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5483 | return result; |
| 5484 | } |
| 5485 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5486 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 5487 | armnn::IWorkloadFactory& workloadFactory, |
| 5488 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5489 | { |
| 5490 | constexpr unsigned int width = 2; |
| 5491 | constexpr unsigned int height = 3; |
| 5492 | |
| 5493 | const armnn::TensorInfo tensorInfo({height, width }, |
| 5494 | armnn::DataType::Float32); |
| 5495 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5496 | -10.0f, -5.0f, |
| 5497 | 0.0f, 5.0f, |
| 5498 | 10.0f, 10.0f |
| 5499 | })); |
| 5500 | |
| 5501 | LayerTestResult<float, 2> ret(tensorInfo); |
| 5502 | |
| 5503 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5504 | |
| 5505 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5506 | |
| 5507 | armnn::FakeQuantizationQueueDescriptor data; |
| 5508 | armnn::WorkloadInfo info; |
| 5509 | |
| 5510 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 5511 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 5512 | float min = -10.f; |
| 5513 | float max = 10.f; |
| 5514 | |
| 5515 | data.m_Parameters.m_Min = min; |
| 5516 | data.m_Parameters.m_Max = max; |
| 5517 | |
| 5518 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 5519 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 5520 | armnn::WorkloadInfo refInfo = info; |
| 5521 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 5522 | |
| 5523 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 5524 | |
| 5525 | inputHandle->Allocate(); |
| 5526 | outputHandle->Allocate(); |
| 5527 | |
| 5528 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 5529 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5530 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5531 | workload->Execute(); |
| 5532 | |
| 5533 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 5534 | |
| 5535 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5536 | 0.0f, 63.0f, |
| 5537 | 128.0f, 191.0f, |
| 5538 | 255.0f, 255.0f |
| 5539 | })); |
| 5540 | return ret; |
| 5541 | } |
| 5542 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5543 | namespace |
| 5544 | { |
| 5545 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5546 | LayerTestResult<float, 4> L2NormalizationTestImpl( |
| 5547 | armnn::IWorkloadFactory& workloadFactory, |
| 5548 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5549 | const armnn::TensorShape& inputOutputTensorShape, |
| 5550 | const std::vector<float>& inputValues, |
| 5551 | const std::vector<float>& expectedOutputValues, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5552 | const armnn::DataLayout layout) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5553 | { |
| 5554 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5555 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, armnn::DataType::Float32); |
| 5556 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5557 | // at this point if we require it permute the input data |
| 5558 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 5559 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5560 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5561 | { |
| 5562 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5563 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5564 | inputData = tmp; |
| 5565 | } |
| 5566 | |
| 5567 | auto inputTensor = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5568 | |
| 5569 | LayerTestResult<float, 4> result(outputTensorInfo); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5570 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5571 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5572 | { |
| 5573 | std::vector<float> tmp(expectedOutputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5574 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, |
| 5575 | expectedOutputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5576 | expectedOutputData = tmp; |
| 5577 | } |
| 5578 | result.outputExpected = MakeTensor<float, 4>(inputTensorInfo, std::vector<float>(expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5579 | |
| 5580 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5581 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5582 | |
| 5583 | armnn::L2NormalizationQueueDescriptor descriptor; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5584 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5585 | armnn::WorkloadInfo info; |
| 5586 | |
| 5587 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5588 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5589 | |
| 5590 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 5591 | |
| 5592 | inputHandle->Allocate(); |
| 5593 | outputHandle->Allocate(); |
| 5594 | |
| 5595 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5596 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5597 | workload->PostAllocationConfigure(); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5598 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5599 | |
| 5600 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5601 | |
| 5602 | return result; |
| 5603 | } |
| 5604 | |
| 5605 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 5606 | { |
| 5607 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 5608 | [](float acc, float element) { return acc + element * element; }); |
| 5609 | return 1.0f / sqrtf(reduction); |
| 5610 | } |
| 5611 | |
| 5612 | } // anonymous namespace |
| 5613 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5614 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5615 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 5616 | armnn::IWorkloadFactory& workloadFactory, |
| 5617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5618 | float qScale, |
| 5619 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5620 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5621 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 5622 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5623 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5624 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5625 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5626 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5627 | std::vector<T> inputValues( |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5628 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5629 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5630 | // Height (3) x Width (3) |
| 5631 | 4, 8, 6, |
| 5632 | 7, 4, 4, |
| 5633 | 3, 2, 4 |
| 5634 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5635 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5636 | std::vector<T> expectedOutputValues( |
| 5637 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5638 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5639 | 0, 0, 0, 0, 0, 0, 0, |
| 5640 | 0, 0, 0, 0, 0, 0, 0, |
| 5641 | 0, 0, 4, 8, 6, 0, 0, |
| 5642 | 0, 0, 7, 4, 4, 0, 0, |
| 5643 | 0, 0, 3, 2, 4, 0, 0, |
| 5644 | 0, 0, 0, 0, 0, 0, 0, |
| 5645 | 0, 0, 0, 0, 0, 0, 0 |
| 5646 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5647 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5648 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5649 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5650 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5651 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5652 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5653 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5654 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5655 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5656 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5657 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5658 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5659 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5660 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5661 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5662 | descriptor.m_Parameters.m_PadList = PadList; |
| 5663 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5664 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5665 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5666 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5667 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5668 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5669 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5670 | inputHandle->Allocate(); |
| 5671 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5672 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5673 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5674 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5675 | workload->PostAllocationConfigure(); |
| 5676 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5677 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5678 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5679 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5680 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5681 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5682 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5683 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5684 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 5685 | armnn::IWorkloadFactory& workloadFactory, |
| 5686 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5687 | float qScale, |
| 5688 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5689 | { |
| 5690 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 5691 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 5692 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5693 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5694 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5695 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5696 | std::vector<T> inputValues( |
| 5697 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5698 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5699 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5700 | 0, 4, |
| 5701 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5702 | |
| 5703 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5704 | 6, 1, |
| 5705 | 5, 2 |
| 5706 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5707 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5708 | std::vector<T> expectedOutputValues( |
| 5709 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5710 | { |
| 5711 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5712 | 0, 0, 0, 0, 0, 0, |
| 5713 | 0, 0, 0, 0, 0, 0, |
| 5714 | 0, 0, 0, 4, 0, 0, |
| 5715 | 0, 0, 2, 5, 0, 0, |
| 5716 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5717 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5718 | 0, 0, 0, 0, 0, 0, |
| 5719 | 0, 0, 0, 0, 0, 0, |
| 5720 | 0, 0, 6, 1, 0, 0, |
| 5721 | 0, 0, 5, 2, 0, 0, |
| 5722 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5723 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5724 | 0, 0, 0, 0, 0, 0, |
| 5725 | 0, 0, 0, 0, 0, 0, |
| 5726 | 0, 0, 0, 0, 0, 0, |
| 5727 | 0, 0, 0, 0, 0, 0, |
| 5728 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5729 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5730 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5731 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5732 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5733 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5734 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5735 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5736 | |
| 5737 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5738 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5739 | |
| 5740 | armnn::PadQueueDescriptor descriptor; |
| 5741 | |
| 5742 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5743 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 5744 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5745 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5746 | |
| 5747 | descriptor.m_Parameters.m_PadList = PadList; |
| 5748 | armnn::WorkloadInfo info; |
| 5749 | |
| 5750 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5751 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5752 | |
| 5753 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5754 | |
| 5755 | inputHandle->Allocate(); |
| 5756 | outputHandle->Allocate(); |
| 5757 | |
| 5758 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 5759 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5760 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5761 | workload->Execute(); |
| 5762 | |
| 5763 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 5764 | |
| 5765 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5766 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5767 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5768 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5769 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 5770 | armnn::IWorkloadFactory& workloadFactory, |
| 5771 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5772 | float qScale, |
| 5773 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5774 | { |
| 5775 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 5776 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 5777 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5778 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5779 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5780 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5781 | std::vector<T> inputValues( |
| 5782 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5783 | { |
| 5784 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5785 | 0, 1, |
| 5786 | 2, 3, |
| 5787 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5788 | |
| 5789 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5790 | 6, 7, |
| 5791 | 8, 9, |
| 5792 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5793 | |
| 5794 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5795 | 12, 13, |
| 5796 | 14, 15, |
| 5797 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5798 | |
| 5799 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5800 | 18, 19, |
| 5801 | 20, 21, |
| 5802 | 22, 23 |
| 5803 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5804 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5805 | std::vector<T> expectedOutputValues( |
| 5806 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5807 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5808 | 0, 0, 0, 0, |
| 5809 | 0, 0, 0, 0, |
| 5810 | 0, 0, 0, 0, |
| 5811 | 0, 0, 0, 0, |
| 5812 | 0, 0, 0, 0, |
| 5813 | 0, 0, 0, 0, |
| 5814 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5815 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5816 | 0, 0, 0, 0, |
| 5817 | 0, 0, 0, 0, |
| 5818 | 0, 0, 0, 0, |
| 5819 | 0, 0, 0, 0, |
| 5820 | 0, 0, 0, 0, |
| 5821 | 0, 0, 0, 0, |
| 5822 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5823 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5824 | 0, 0, 0, 0, |
| 5825 | 0, 0, 0, 0, |
| 5826 | 0, 0, 0, 0, |
| 5827 | 0, 0, 0, 0, |
| 5828 | 0, 0, 0, 0, |
| 5829 | 0, 0, 0, 0, |
| 5830 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5831 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5832 | 0, 0, 0, 0, |
| 5833 | 0, 0, 0, 0, |
| 5834 | 0, 0, 0, 0, |
| 5835 | 0, 0, 0, 0, |
| 5836 | 0, 0, 0, 0, |
| 5837 | 0, 0, 0, 0, |
| 5838 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5839 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5840 | 0, 0, 0, 0, |
| 5841 | 0, 0, 0, 0, |
| 5842 | 0, 0, 0, 0, |
| 5843 | 0, 0, 0, 0, |
| 5844 | 0, 0, 0, 0, |
| 5845 | 0, 0, 0, 0, |
| 5846 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5847 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5848 | 0, 0, 0, 0, |
| 5849 | 0, 0, 0, 0, |
| 5850 | 0, 0, 0, 0, |
| 5851 | 0, 0, 0, 0, |
| 5852 | 0, 0, 0, 0, |
| 5853 | 0, 0, 0, 0, |
| 5854 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5855 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5856 | 0, 0, 0, 0, |
| 5857 | 0, 0, 0, 0, |
| 5858 | 0, 0, 0, 0, |
| 5859 | 0, 0, 0, 0, |
| 5860 | 0, 0, 0, 0, |
| 5861 | 0, 0, 0, 0, |
| 5862 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5863 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5864 | 0, 0, 0, 0, |
| 5865 | 0, 0, 0, 0, |
| 5866 | 0, 0, 0, 0, |
| 5867 | 0, 0, 1, 0, |
| 5868 | 0, 2, 3, 0, |
| 5869 | 0, 4, 5, 0, |
| 5870 | 0, 0, 0, 0, |
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, 6, 7, 0, |
| 5876 | 0, 8, 9, 0, |
| 5877 | 0, 10, 11, 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, 12, 13, 0, |
| 5908 | 0, 14, 15, 0, |
| 5909 | 0, 16, 17, 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, 18, 19, 0, |
| 5916 | 0, 20, 21, 0, |
| 5917 | 0, 22, 23, 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, 0, 0, |
| 5932 | 0, 0, 0, 0, |
| 5933 | 0, 0, 0, 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, 0, 0, 0, |
| 5940 | 0, 0, 0, 0, |
| 5941 | 0, 0, 0, 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 |
| 5967 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5968 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5969 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5970 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5971 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5972 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5973 | |
| 5974 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5975 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5976 | |
| 5977 | armnn::PadQueueDescriptor descriptor; |
| 5978 | |
| 5979 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5980 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5981 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5982 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 5983 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5984 | |
| 5985 | descriptor.m_Parameters.m_PadList = PadList; |
| 5986 | armnn::WorkloadInfo info; |
| 5987 | |
| 5988 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5989 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5990 | |
| 5991 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5992 | |
| 5993 | inputHandle->Allocate(); |
| 5994 | outputHandle->Allocate(); |
| 5995 | |
| 5996 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5997 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5998 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5999 | workload->Execute(); |
| 6000 | |
| 6001 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6002 | |
| 6003 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6004 | } |
| 6005 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6006 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 6007 | armnn::IWorkloadFactory& workloadFactory, |
| 6008 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6009 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6010 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6011 | } |
| 6012 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6013 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 6014 | armnn::IWorkloadFactory& workloadFactory, |
| 6015 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6016 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6017 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6018 | } |
| 6019 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6020 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 6021 | armnn::IWorkloadFactory& workloadFactory, |
| 6022 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6023 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6024 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6025 | } |
| 6026 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6027 | LayerTestResult<float, 2> PadFloat322dTest( |
| 6028 | armnn::IWorkloadFactory& workloadFactory, |
| 6029 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6030 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6031 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6032 | } |
| 6033 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6034 | LayerTestResult<float, 3> PadFloat323dTest( |
| 6035 | armnn::IWorkloadFactory& workloadFactory, |
| 6036 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6037 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6038 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6039 | } |
| 6040 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6041 | LayerTestResult<float, 4> PadFloat324dTest( |
| 6042 | armnn::IWorkloadFactory& workloadFactory, |
| 6043 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6044 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6045 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6046 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6047 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6048 | LayerTestResult<float, 4> L2Normalization1dTest( |
| 6049 | armnn::IWorkloadFactory& workloadFactory, |
| 6050 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6051 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6052 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6053 | // Width: 1 |
| 6054 | // Height: 1 |
| 6055 | // Channels: 10 |
| 6056 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6057 | unsigned int numberOfBatches = 1; |
| 6058 | unsigned int numberOfChannels = 10; |
| 6059 | unsigned int height = 1; |
| 6060 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6061 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6062 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6063 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6064 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6065 | std::vector<float> inputValues |
| 6066 | { |
| 6067 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6068 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6069 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6070 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 6071 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6072 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6073 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 6074 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6075 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6076 | // Batch 0, Channel 3, Height (1) x Width (1) |
| 6077 | 4.0f, |
| 6078 | |
| 6079 | // Batch 0, Channel 4, Height (1) x Width (1) |
| 6080 | 5.0f, |
| 6081 | |
| 6082 | // Batch 0, Channel 5, Height (1) x Width (1) |
| 6083 | 6.0f, |
| 6084 | |
| 6085 | // Batch 0, Channel 6, Height (1) x Width (1) |
| 6086 | 7.0f, |
| 6087 | |
| 6088 | // Batch 0, Channel 7, Height (1) x Width (1) |
| 6089 | 8.0f, |
| 6090 | |
| 6091 | // Batch 0, Channel 8, Height (1) x Width (1) |
| 6092 | 9.0f, |
| 6093 | |
| 6094 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 6095 | 10.0f |
| 6096 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6097 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6098 | std::vector<float> expectedOutputValues |
| 6099 | { |
| 6100 | // Batch 0, Channel 0, Height (1) x Width (1) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6101 | 1.0f * approxInvL2Norm, |
| 6102 | 2.0f * approxInvL2Norm, |
| 6103 | 3.0f * approxInvL2Norm, |
| 6104 | 4.0f * approxInvL2Norm, |
| 6105 | 5.0f * approxInvL2Norm, |
| 6106 | 6.0f * approxInvL2Norm, |
| 6107 | 7.0f * approxInvL2Norm, |
| 6108 | 8.0f * approxInvL2Norm, |
| 6109 | 9.0f * approxInvL2Norm, |
| 6110 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6111 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6112 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6113 | |
| 6114 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6115 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6116 | } |
| 6117 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6118 | LayerTestResult<float, 4> L2Normalization2dTest( |
| 6119 | armnn::IWorkloadFactory& workloadFactory, |
| 6120 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6121 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6122 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6123 | // Width: 5 |
| 6124 | // Height: 1 |
| 6125 | // Channels: 2 |
| 6126 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6127 | unsigned int numberOfBatches = 1; |
| 6128 | unsigned int numberOfChannels = 2; |
| 6129 | unsigned int height = 1; |
| 6130 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6131 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6132 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6133 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6134 | std::vector<float> inputValues |
| 6135 | { |
| 6136 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6137 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6138 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6139 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 6140 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 6141 | }; |
| 6142 | std::vector<float> expectedOutputValues |
| 6143 | { |
| 6144 | // Batch 0, Channel 0, Height (1) x Width (5) |
| 6145 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6146 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6147 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6148 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6149 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
| 6150 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6151 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 6152 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6153 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6154 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6155 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6156 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6157 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6158 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6159 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6160 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6161 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6162 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6163 | LayerTestResult<float, 4> L2Normalization3dTest( |
| 6164 | armnn::IWorkloadFactory& workloadFactory, |
| 6165 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6166 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6167 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6168 | // Width: 3 |
| 6169 | // Height: 4 |
| 6170 | // Channels: 2 |
| 6171 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6172 | unsigned int numberOfBatches = 1; |
| 6173 | unsigned int numberOfChannels = 2; |
| 6174 | unsigned int height = 4; |
| 6175 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6176 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6177 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6178 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6179 | std::vector<float> inputValues |
| 6180 | { |
| 6181 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6182 | 119.0f, 21.0f, 150.0f, |
| 6183 | 149.0f, 32.0f, 179.0f, |
| 6184 | 15.0f, 227.0f, 141.0f, |
| 6185 | 147.0f, 199.0f, 220.0f, |
| 6186 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6187 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6188 | 110.0f, 140.0f, 73.0f, |
| 6189 | 211.0f, 212.0f, 89.0f, |
| 6190 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6191 | 162.0f, 12.0f, 161.0f |
| 6192 | }; |
| 6193 | std::vector<float> expectedOutputValues |
| 6194 | { |
| 6195 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6196 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6197 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 6198 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6199 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6200 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 6201 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6202 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 6203 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6204 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6205 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6206 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 6207 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 6208 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6209 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6210 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6211 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
| 6212 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6213 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6214 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
| 6215 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6216 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
| 6217 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6218 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6219 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6220 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6221 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 6222 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6223 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6224 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6225 | inputValues, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6226 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6227 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6228 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 6229 | armnn::IWorkloadFactory& workloadFactory, |
| 6230 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6231 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6232 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6233 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6234 | // Height: 4 |
| 6235 | // Channels: 3 |
| 6236 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6237 | unsigned int numberOfBatches = 2; |
| 6238 | unsigned int numberOfChannels = 3; |
| 6239 | unsigned int height = 4; |
| 6240 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6241 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6242 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6243 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6244 | std::vector<float> inputValues |
| 6245 | { |
| 6246 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6247 | 235.0f, 46.0f, 178.0f, |
| 6248 | 100.0f, 123.0f, 19.0f, |
| 6249 | 172.0f, 74.0f, 250.0f, |
| 6250 | 6.0f, 195.0f, 80.0f, |
| 6251 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6252 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6253 | 113.0f, 95.0f, 202.0f, |
| 6254 | 77.0f, 114.0f, 71.0f, |
| 6255 | 122.0f, 246.0f, 166.0f, |
| 6256 | 82.0f, 28.0f, 37.0f, |
| 6257 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6258 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6259 | 56.0f, 170.0f, 162.0f, |
| 6260 | 194.0f, 89.0f, 254.0f, |
| 6261 | 12.0f, 209.0f, 200.0f, |
| 6262 | 1.0f, 64.0f, 54.0f, |
| 6263 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6264 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6265 | 67.0f, 90.0f, 49.0f, |
| 6266 | 7.0f, 163.0f, 18.0f, |
| 6267 | 25.0f, 117.0f, 103.0f, |
| 6268 | 247.0f, 59.0f, 189.0f, |
| 6269 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6270 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6271 | 239.0f, 104.0f, 199.0f, |
| 6272 | 17.0f, 124.0f, 153.0f, |
| 6273 | 222.0f, 217.0f, 75.0f, |
| 6274 | 32.0f, 126.0f, 21.0f, |
| 6275 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6276 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6277 | 97.0f, 145.0f, 215.0f, |
| 6278 | 115.0f, 116.0f, 238.0f, |
| 6279 | 226.0f, 16.0f, 132.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6280 | 92.0f, 125.0f, 88.0f |
| 6281 | }; |
| 6282 | std::vector<float> expectedOutputValues |
| 6283 | { |
| 6284 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6285 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6286 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6287 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6288 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6289 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6290 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6291 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6292 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6293 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6294 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6295 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6296 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6297 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6298 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6299 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6300 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6301 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6302 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6303 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6304 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6305 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6306 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6307 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6308 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6309 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6310 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6311 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6312 | // Batch 0, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6313 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
| 6314 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6315 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6316 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6317 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
| 6318 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
| 6319 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6320 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6321 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
| 6322 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6323 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6324 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
| 6325 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6326 | // Batch 1, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6327 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6328 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6329 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6330 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6331 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6332 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6333 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6334 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6335 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6336 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6337 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 6338 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6339 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6340 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6341 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6342 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6343 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6344 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6345 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6346 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6347 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6348 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6349 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6350 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6351 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
| 6352 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6353 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6354 | // Batch 1, Channel 2, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6355 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6356 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6357 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6358 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6359 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6360 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6361 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6362 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6363 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6364 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
| 6365 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6366 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
| 6367 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6368 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6369 | return L2NormalizationTestImpl(workloadFactory, memoryManager, inputOutputShape, |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6370 | inputValues, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6371 | } |
| 6372 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6373 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6374 | LayerTestResult<T, 4> ConstantTestImpl( |
| 6375 | armnn::IWorkloadFactory& workloadFactory, |
| 6376 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6377 | float qScale, |
| 6378 | int32_t qOffset) |
| 6379 | { |
| 6380 | constexpr unsigned int inputWidth = 3; |
| 6381 | constexpr unsigned int inputHeight = 4; |
| 6382 | constexpr unsigned int inputChannels = 3; |
| 6383 | constexpr unsigned int inputBatchSize = 2; |
| 6384 | |
| 6385 | constexpr unsigned int outputWidth = inputWidth; |
| 6386 | constexpr unsigned int outputHeight = inputHeight; |
| 6387 | constexpr unsigned int outputChannels = inputChannels; |
| 6388 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6389 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6390 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6391 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6392 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6393 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6394 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6395 | |
| 6396 | // Set quantization parameters if the requested type is a quantized type. |
| 6397 | if(armnn::IsQuantizedType<T>()) |
| 6398 | { |
| 6399 | inputTensorInfo.SetQuantizationScale(qScale); |
| 6400 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 6401 | outputTensorInfo.SetQuantizationScale(qScale); |
| 6402 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 6403 | } |
| 6404 | |
| 6405 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 6406 | QuantizedVector<T>(qScale, qOffset, { |
| 6407 | // Batch 0, Channel 0 |
| 6408 | 235.0f, 46.0f, 178.0f, |
| 6409 | 100.0f, 123.0f, 19.0f, |
| 6410 | 172.0f, 74.0f, 250.0f, |
| 6411 | 6.0f, 195.0f, 80.0f, |
| 6412 | |
| 6413 | // Batch 0, Channel 1 |
| 6414 | 113.0f, 95.0f, 202.0f, |
| 6415 | 77.0f, 114.0f, 71.0f, |
| 6416 | 122.0f, 246.0f, 166.0f, |
| 6417 | 82.0f, 28.0f, 37.0f, |
| 6418 | |
| 6419 | // Batch 0, Channel 2 |
| 6420 | 56.0f, 170.0f, 162.0f, |
| 6421 | 194.0f, 89.0f, 254.0f, |
| 6422 | 12.0f, 209.0f, 200.0f, |
| 6423 | 1.0f, 64.0f, 54.0f, |
| 6424 | |
| 6425 | // Batch 1, Channel 0 |
| 6426 | 67.0f, 90.0f, 49.0f, |
| 6427 | 7.0f, 163.0f, 18.0f, |
| 6428 | 25.0f, 117.0f, 103.0f, |
| 6429 | 247.0f, 59.0f, 189.0f, |
| 6430 | |
| 6431 | // Batch 1, Channel 1 |
| 6432 | 239.0f, 104.0f, 199.0f, |
| 6433 | 17.0f, 124.0f, 153.0f, |
| 6434 | 222.0f, 217.0f, 75.0f, |
| 6435 | 32.0f, 126.0f, 21.0f, |
| 6436 | |
| 6437 | // Batch 1, Channel 2 |
| 6438 | 97.0f, 145.0f, 215.0f, |
| 6439 | 115.0f, 116.0f, 238.0f, |
| 6440 | 226.0f, 16.0f, 132.0f, |
| 6441 | 92.0f, 125.0f, 88.0f, |
| 6442 | }))); |
| 6443 | |
| 6444 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6445 | result.outputExpected = input; |
| 6446 | |
| 6447 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6448 | |
| 6449 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 6450 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 6451 | |
| 6452 | armnn::ConstantQueueDescriptor descriptor; |
| 6453 | descriptor.m_LayerOutput = &constantTensor; |
| 6454 | |
| 6455 | armnn::WorkloadInfo info; |
| 6456 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6457 | |
| 6458 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 6459 | |
| 6460 | outputHandle->Allocate(); |
| 6461 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6462 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6463 | workload->Execute(); |
| 6464 | |
| 6465 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6466 | return result; |
| 6467 | } |
| 6468 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6469 | LayerTestResult<float, 4> ConstantTest( |
| 6470 | armnn::IWorkloadFactory& workloadFactory, |
| 6471 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6472 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6473 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6474 | } |
| 6475 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6476 | LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest( |
| 6477 | armnn::IWorkloadFactory& workloadFactory, |
| 6478 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6479 | { |
| 6480 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 6481 | } |
| 6482 | |
| 6483 | LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6484 | armnn::IWorkloadFactory& workloadFactory, |
| 6485 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6486 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6487 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6488 | } |
| 6489 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6490 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6491 | armnn::IWorkloadFactory& workloadFactory, |
| 6492 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6493 | { |
| 6494 | unsigned int outputWidth = 3; |
| 6495 | unsigned int outputHeight = 6; |
| 6496 | unsigned int outputChannels = 3; |
| 6497 | |
| 6498 | unsigned int inputWidth1 = 3; |
| 6499 | unsigned int inputHeight1 = 6; |
| 6500 | unsigned int inputChannels1 = 2; |
| 6501 | |
| 6502 | unsigned int inputWidth2 = 3; |
| 6503 | unsigned int inputHeight2 = 6; |
| 6504 | unsigned int inputChannels2 = 1; |
| 6505 | |
| 6506 | // Defines the tensor descriptors. |
| 6507 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6508 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6509 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 6510 | |
| 6511 | // Quantized input1 tensor. Range [-3, 1] |
| 6512 | const float inputScale1 = 0.015686f; |
| 6513 | const int32_t inputOffset1 = 192; |
| 6514 | |
| 6515 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6516 | { |
| 6517 | 1, 2, 3, |
| 6518 | 4, 5, 6, |
| 6519 | 7, 8, 9, |
| 6520 | 10, 11, 12, |
| 6521 | 13, 14, 15, |
| 6522 | 16, 17, 18, |
| 6523 | |
| 6524 | 19, 20, 21, |
| 6525 | 22, 23, 24, |
| 6526 | 25, 26, 27, |
| 6527 | 28, 29, 30, |
| 6528 | 31, 32, 33, |
| 6529 | 34, 35, 36, |
| 6530 | }) |
| 6531 | ); |
| 6532 | |
| 6533 | // Quatized input2 tensor. Range [-1, 4] |
| 6534 | const float inputScale2 = 0.019608f; |
| 6535 | const int32_t inputOffset2 = 50; |
| 6536 | |
| 6537 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6538 | { |
| 6539 | 37, 38, 39, |
| 6540 | 40, 41, 42, |
| 6541 | 43, 44, 45, |
| 6542 | 46, 47, 48, |
| 6543 | 49, 50, 51, |
| 6544 | 52, 53, 54, |
| 6545 | }) |
| 6546 | ); |
| 6547 | |
| 6548 | // Output has the same quantization parameters than input1, |
| 6549 | // so that only the requantization of input2 is required |
| 6550 | const float outputScale = 0.015686f; |
| 6551 | const int32_t outputOffset = 192; |
| 6552 | |
| 6553 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6554 | |
| 6555 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 6556 | { |
| 6557 | 1, 2, 3, |
| 6558 | 4, 5, 6, |
| 6559 | 7, 8, 9, |
| 6560 | 10, 11, 12, |
| 6561 | 13, 14, 15, |
| 6562 | 16, 17, 18, |
| 6563 | |
| 6564 | 19, 20, 21, |
| 6565 | 22, 23, 24, |
| 6566 | 25, 26, 27, |
| 6567 | 28, 29, 30, |
| 6568 | 31, 32, 33, |
| 6569 | 34, 35, 36, |
| 6570 | |
| 6571 | 176, 177, 178, |
| 6572 | 179, 181, 182, |
| 6573 | 183, 184, 186, |
| 6574 | 187, 188, 189, |
| 6575 | 191, 192, 193, |
| 6576 | 195, 196, 197, |
| 6577 | }) |
| 6578 | ); |
| 6579 | |
| 6580 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 6581 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 6582 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 6583 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 6584 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 6585 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 6586 | |
| 6587 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
| 6588 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6589 | |
| 6590 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
| 6591 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6592 | |
| 6593 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6594 | |
| 6595 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6596 | |
| 6597 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6598 | subTensorsSupported ? |
| 6599 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6600 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6601 | |
| 6602 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6603 | subTensorsSupported ? |
| 6604 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6605 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6606 | |
| 6607 | armnn::MergerQueueDescriptor data; |
| 6608 | armnn::WorkloadInfo info; |
| 6609 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6610 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6611 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6612 | |
| 6613 | data.m_ViewOrigins.push_back(window1); |
| 6614 | data.m_ViewOrigins.push_back(window2); |
| 6615 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6616 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6617 | |
| 6618 | inputHandle1->Allocate(); |
| 6619 | inputHandle2->Allocate(); |
| 6620 | outputHandle->Allocate(); |
| 6621 | |
| 6622 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6623 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6624 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6625 | workload->PostAllocationConfigure(); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6626 | workload->Execute(); |
| 6627 | |
| 6628 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6629 | |
| 6630 | return ret; |
| 6631 | } |
| 6632 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6633 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6634 | armnn::IWorkloadFactory& workloadFactory, |
| 6635 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6636 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6637 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6638 | unsigned int outputHeight = 6; |
| 6639 | unsigned int outputChannels = 3; |
| 6640 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6641 | unsigned int inputWidth1 = 3; |
| 6642 | unsigned int inputHeight1 = 6; |
| 6643 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6644 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6645 | unsigned int inputWidth2 = 3; |
| 6646 | unsigned int inputHeight2 = 6; |
| 6647 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6648 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6649 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6650 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6651 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6652 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6653 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6654 | // 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] | 6655 | const float scale = 0.13497836f; |
| 6656 | const int32_t offset = -7; |
| 6657 | |
| 6658 | outputTensorInfo.SetQuantizationScale(scale); |
| 6659 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6660 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6661 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6662 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6663 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6664 | |
| 6665 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6666 | |
| 6667 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6668 | { |
| 6669 | 1, 2, 3, |
| 6670 | 4, 5, 6, |
| 6671 | 7, 8, 9, |
| 6672 | 10, 11, 12, |
| 6673 | 13, 14, 15, |
| 6674 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6675 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6676 | 19, 20, 21, |
| 6677 | 22, 23, 24, |
| 6678 | 25, 26, 27, |
| 6679 | 28, 29, 30, |
| 6680 | 31, 32, 33, |
| 6681 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6682 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6683 | 37, 38, 39, |
| 6684 | 40, 41, 42, |
| 6685 | 43, 44, 45, |
| 6686 | 46, 47, 48, |
| 6687 | 49, 50, 51, |
| 6688 | 52, 53, 54, |
| 6689 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6690 | ); |
| 6691 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6692 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6693 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6694 | 1, 2, 3, |
| 6695 | 4, 5, 6, |
| 6696 | 7, 8, 9, |
| 6697 | 10, 11, 12, |
| 6698 | 13, 14, 15, |
| 6699 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6700 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6701 | 19, 20, 21, |
| 6702 | 22, 23, 24, |
| 6703 | 25, 26, 27, |
| 6704 | 28, 29, 30, |
| 6705 | 31, 32, 33, |
| 6706 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6707 | }) |
| 6708 | ); |
| 6709 | |
| 6710 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6711 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6712 | 37, 38, 39, |
| 6713 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6714 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6715 | 46, 47, 48, |
| 6716 | 49, 50, 51, |
| 6717 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6718 | }) |
| 6719 | ); |
| 6720 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6721 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6722 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6723 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6724 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6725 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6726 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6727 | |
| 6728 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6729 | |
| 6730 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6731 | |
| 6732 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6733 | subTensorsSupported ? |
| 6734 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6735 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6736 | |
| 6737 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6738 | subTensorsSupported ? |
| 6739 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6740 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6741 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6742 | |
| 6743 | armnn::MergerQueueDescriptor data; |
| 6744 | armnn::WorkloadInfo info; |
| 6745 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6746 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6747 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6748 | |
| 6749 | data.m_ViewOrigins.push_back(window1); |
| 6750 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6751 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6752 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6753 | |
| 6754 | inputHandle1->Allocate(); |
| 6755 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6756 | outputHandle->Allocate(); |
| 6757 | |
| 6758 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6759 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6760 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6761 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6762 | workload->Execute(); |
| 6763 | |
| 6764 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6765 | |
| 6766 | return ret; |
| 6767 | } |
| 6768 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6769 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6770 | armnn::IWorkloadFactory& workloadFactory, |
| 6771 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6772 | { |
| 6773 | unsigned int outputWidth = 3; |
| 6774 | unsigned int outputHeight = 6; |
| 6775 | unsigned int outputChannels = 3; |
| 6776 | |
| 6777 | unsigned int inputWidth1 = 3; |
| 6778 | unsigned int inputHeight1 = 6; |
| 6779 | unsigned int inputChannels1 = 2; |
| 6780 | |
| 6781 | unsigned int inputWidth2 = 3; |
| 6782 | unsigned int inputHeight2 = 6; |
| 6783 | unsigned int inputChannels2 = 1; |
| 6784 | |
| 6785 | // Defines the tensor descriptors. |
| 6786 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedSymm16); |
| 6787 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedSymm16); |
| 6788 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedSymm16); |
| 6789 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6790 | // 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] | 6791 | const float scale = 0.13497836f; |
| 6792 | const int32_t offset = -7; |
| 6793 | |
| 6794 | outputTensorInfo.SetQuantizationScale(scale); |
| 6795 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6796 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6797 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6798 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6799 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 6800 | |
| 6801 | LayerTestResult<uint16_t, 3> ret(outputTensorInfo); |
| 6802 | |
| 6803 | ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>( |
| 6804 | { |
| 6805 | 1, 2, 3, |
| 6806 | 4, 5, 6, |
| 6807 | 7, 8, 9, |
| 6808 | 10, 11, 12, |
| 6809 | 13, 14, 15, |
| 6810 | 16, 17, 18, |
| 6811 | |
| 6812 | 19, 20, 21, |
| 6813 | 22, 23, 24, |
| 6814 | 25, 26, 27, |
| 6815 | 28, 29, 30, |
| 6816 | 31, 32, 33, |
| 6817 | 34, 35, 36, |
| 6818 | |
| 6819 | 37, 38, 39, |
| 6820 | 40, 41, 42, |
| 6821 | 43, 44, 45, |
| 6822 | 46, 47, 48, |
| 6823 | 49, 50, 51, |
| 6824 | 52, 53, 54, |
| 6825 | })); |
| 6826 | |
| 6827 | auto input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>( |
| 6828 | { |
| 6829 | 1, 2, 3, |
| 6830 | 4, 5, 6, |
| 6831 | 7, 8, 9, |
| 6832 | 10, 11, 12, |
| 6833 | 13, 14, 15, |
| 6834 | 16, 17, 18, |
| 6835 | |
| 6836 | 19, 20, 21, |
| 6837 | 22, 23, 24, |
| 6838 | 25, 26, 27, |
| 6839 | 28, 29, 30, |
| 6840 | 31, 32, 33, |
| 6841 | 34, 35, 36, |
| 6842 | })); |
| 6843 | |
| 6844 | auto input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>( |
| 6845 | { |
| 6846 | 37, 38, 39, |
| 6847 | 40, 41, 42, |
| 6848 | 43, 44, 45, |
| 6849 | 46, 47, 48, |
| 6850 | 49, 50, 51, |
| 6851 | 52, 53, 54, |
| 6852 | })); |
| 6853 | |
| 6854 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
| 6855 | armnn::MergerQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 6856 | |
| 6857 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
| 6858 | armnn::MergerQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 6859 | |
| 6860 | |
| 6861 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6862 | |
| 6863 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6864 | |
| 6865 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6866 | subTensorsSupported ? |
| 6867 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6868 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6869 | |
| 6870 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6871 | subTensorsSupported ? |
| 6872 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6873 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6874 | |
| 6875 | |
| 6876 | armnn::MergerQueueDescriptor data; |
| 6877 | armnn::WorkloadInfo info; |
| 6878 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6879 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6880 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6881 | |
| 6882 | data.m_ViewOrigins.push_back(window1); |
| 6883 | data.m_ViewOrigins.push_back(window2); |
| 6884 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame^] | 6885 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6886 | |
| 6887 | inputHandle1->Allocate(); |
| 6888 | inputHandle2->Allocate(); |
| 6889 | outputHandle->Allocate(); |
| 6890 | |
| 6891 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6892 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6893 | |
| 6894 | workload->PostAllocationConfigure(); |
| 6895 | workload->Execute(); |
| 6896 | |
| 6897 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6898 | |
| 6899 | return ret; |
| 6900 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6901 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6902 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6903 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6904 | template <typename T> |
| 6905 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6906 | armnn::IWorkloadFactory& workloadFactory, |
| 6907 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6908 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6909 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6910 | float scale0, |
| 6911 | int32_t offset0, |
| 6912 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6913 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6914 | float scale1, |
| 6915 | int32_t offset1, |
| 6916 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6917 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6918 | float outScale, |
| 6919 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6920 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6921 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 6922 | armnn::DataType::QuantisedAsymm8 : |
| 6923 | armnn::DataType::QuantisedSymm16); |
| 6924 | |
| 6925 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 6926 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 6927 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6928 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6929 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 6930 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6931 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6932 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 6933 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6934 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 6935 | outputTensorInfo.SetQuantizationScale(outScale); |
| 6936 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6937 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6938 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 6939 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6940 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6941 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6942 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 6943 | |
| 6944 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 6945 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6946 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6947 | |
| 6948 | armnn::AdditionQueueDescriptor data; |
| 6949 | armnn::WorkloadInfo info; |
| 6950 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 6951 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6952 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6953 | |
| 6954 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 6955 | |
| 6956 | inputHandle0->Allocate(); |
| 6957 | inputHandle1->Allocate(); |
| 6958 | outputHandle->Allocate(); |
| 6959 | |
| 6960 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 6961 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 6962 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6963 | workload->PostAllocationConfigure(); |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 6964 | workload->Execute(); |
| 6965 | |
| 6966 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6967 | |
| 6968 | return result; |
| 6969 | } |
| 6970 | } // anonymous namespace |
| 6971 | |
| 6972 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 6973 | armnn::IWorkloadFactory& workloadFactory, |
| 6974 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6975 | { |
| 6976 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 6977 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 6978 | |
| 6979 | std::vector<uint8_t> input0( |
| 6980 | { |
| 6981 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 6982 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 6983 | }); |
| 6984 | |
| 6985 | std::vector<uint8_t> input1( |
| 6986 | { |
| 6987 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 6988 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 6989 | }); |
| 6990 | |
| 6991 | std::vector<uint8_t> output( |
| 6992 | { |
| 6993 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 6994 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 6995 | }); |
| 6996 | |
| 6997 | return AdditionQuantizeTestHelper(workloadFactory, |
| 6998 | memoryManager, |
| 6999 | shape0, input0, 7.0f, 3, |
| 7000 | shape1, input1, 7.0f, 3, |
| 7001 | shape0, output, 7.0f, 3); |
| 7002 | } |
| 7003 | |
| 7004 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 7005 | armnn::IWorkloadFactory& workloadFactory, |
| 7006 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7007 | { |
| 7008 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7009 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7010 | |
| 7011 | std::vector<int16_t> input0( |
| 7012 | { |
| 7013 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 7014 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 7015 | }); |
| 7016 | |
| 7017 | std::vector<int16_t> input1( |
| 7018 | { |
| 7019 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7020 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7021 | }); |
| 7022 | |
| 7023 | std::vector<int16_t> output( |
| 7024 | { |
| 7025 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 7026 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 7027 | }); |
| 7028 | |
| 7029 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7030 | memoryManager, |
| 7031 | shape0, input0, 7.0f, 0, |
| 7032 | shape1, input1, 7.0f, 0, |
| 7033 | shape0, output, 7.0f, 0); |
| 7034 | } |
| 7035 | |
| 7036 | namespace |
| 7037 | { |
| 7038 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7039 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 7040 | armnn::IWorkloadFactory& workloadFactory, |
| 7041 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7042 | const unsigned int shape0[4], |
| 7043 | const std::vector<T> & values0, |
| 7044 | float scale0, |
| 7045 | int32_t offset0, |
| 7046 | const unsigned int shape1[4], |
| 7047 | const std::vector<T> & values1, |
| 7048 | float scale1, |
| 7049 | int32_t offset1, |
| 7050 | const unsigned int outShape[4], |
| 7051 | const std::vector<T> & outValues, |
| 7052 | float outScale, |
| 7053 | int32_t outOffset) |
| 7054 | { |
| 7055 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7056 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7057 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 7058 | |
| 7059 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7060 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7061 | |
| 7062 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7063 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7064 | |
| 7065 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7066 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7067 | |
| 7068 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7069 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7070 | |
| 7071 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7072 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7073 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7074 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7075 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7076 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7077 | |
| 7078 | armnn::MultiplicationQueueDescriptor data; |
| 7079 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7080 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7081 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7082 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7083 | |
| 7084 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 7085 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7086 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7087 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7088 | outputHandle->Allocate(); |
| 7089 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7090 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7091 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7092 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7093 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7094 | workload->Execute(); |
| 7095 | |
| 7096 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7097 | |
| 7098 | return result; |
| 7099 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7100 | } // anonymous namespace |
| 7101 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7102 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 7103 | armnn::IWorkloadFactory& workloadFactory, |
| 7104 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7105 | { |
| 7106 | unsigned int batchSize = 1; |
| 7107 | unsigned int channels = 2; |
| 7108 | unsigned int height = 2; |
| 7109 | unsigned int width = 3; |
| 7110 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 7111 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7112 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7113 | std::vector<uint8_t> input0({ |
| 7114 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 7115 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 7116 | }); |
| 7117 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7118 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7119 | std::vector<uint8_t> input1({ |
| 7120 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 7121 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 7122 | }); |
| 7123 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7124 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7125 | std::vector<uint8_t> output( |
| 7126 | { |
| 7127 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 7128 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 7129 | }); |
| 7130 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7131 | // Scale/offset chosen to have output values out of range. |
| 7132 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7133 | memoryManager, |
| 7134 | shape, |
| 7135 | input0, |
| 7136 | 4.0f, |
| 7137 | 1, |
| 7138 | shape, |
| 7139 | input1, |
| 7140 | 3.0f, |
| 7141 | -2, |
| 7142 | shape, |
| 7143 | output, |
| 7144 | 1366.255f, |
| 7145 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7146 | } |
| 7147 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7148 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 7149 | armnn::IWorkloadFactory& workloadFactory, |
| 7150 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7151 | { |
| 7152 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7153 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7154 | |
| 7155 | std::vector<uint8_t> input0({ |
| 7156 | 1, 2, 3, 4, 5, 6, |
| 7157 | 7, 8, 9, 10, 11, 12 |
| 7158 | }); |
| 7159 | |
| 7160 | std::vector<uint8_t> input1({2}); |
| 7161 | |
| 7162 | std::vector<uint8_t> output({ |
| 7163 | 2, 4, 6, 8, 10, 12, |
| 7164 | 14, 16, 18, 20, 22, 24 |
| 7165 | }); |
| 7166 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7167 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7168 | memoryManager, |
| 7169 | shape0, |
| 7170 | input0, |
| 7171 | 1.0f, |
| 7172 | 0, |
| 7173 | shape1, |
| 7174 | input1, |
| 7175 | 1.0f, |
| 7176 | 0, |
| 7177 | shape0, |
| 7178 | output, |
| 7179 | 1.0f, |
| 7180 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7181 | } |
| 7182 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7183 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 7184 | armnn::IWorkloadFactory& workloadFactory, |
| 7185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7186 | { |
| 7187 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7188 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7189 | |
| 7190 | std::vector<uint8_t> input0({ |
| 7191 | 1, 2, 3, 4, 5, 6, |
| 7192 | 7, 8, 9, 10, 11, 12 |
| 7193 | }); |
| 7194 | |
| 7195 | std::vector<uint8_t> input1({1, 2, 3}); |
| 7196 | |
| 7197 | std::vector<uint8_t> output({ |
| 7198 | 1, 4, 9, 4, 10, 18, |
| 7199 | 7, 16, 27, 10, 22, 36 |
| 7200 | }); |
| 7201 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7202 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7203 | memoryManager, |
| 7204 | shape0, |
| 7205 | input0, |
| 7206 | 1.0f, |
| 7207 | 0, |
| 7208 | shape1, |
| 7209 | input1, |
| 7210 | 1.0f, |
| 7211 | 0, |
| 7212 | shape0, |
| 7213 | output, |
| 7214 | 1.0f, |
| 7215 | 0); |
| 7216 | } |
| 7217 | |
| 7218 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 7219 | armnn::IWorkloadFactory& workloadFactory, |
| 7220 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7221 | { |
| 7222 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 7223 | |
| 7224 | std::vector<int16_t> input0( |
| 7225 | { |
| 7226 | 6, 7, 8, 9, 10, 11, |
| 7227 | 12, 13, 14, 15, 16, 17 |
| 7228 | }); |
| 7229 | |
| 7230 | std::vector<int16_t> input1( |
| 7231 | { |
| 7232 | 1, 2, 3, 4, 5, 6, |
| 7233 | 7, 8, 9, 10, 11, 12 |
| 7234 | }); |
| 7235 | |
| 7236 | std::vector<int16_t> output( |
| 7237 | { |
| 7238 | 6, 14, 24, 36, 50, 66, |
| 7239 | 84, 104, 126, 150, 176, 204 |
| 7240 | }); |
| 7241 | |
| 7242 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7243 | memoryManager, |
| 7244 | shape, |
| 7245 | input0, |
| 7246 | 1.0f, |
| 7247 | 0, |
| 7248 | shape, |
| 7249 | input1, |
| 7250 | 1.0f, |
| 7251 | 0, |
| 7252 | shape, |
| 7253 | output, |
| 7254 | 1.0f, |
| 7255 | 0); |
| 7256 | } |
| 7257 | |
| 7258 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 7259 | armnn::IWorkloadFactory& workloadFactory, |
| 7260 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7261 | { |
| 7262 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7263 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7264 | |
| 7265 | std::vector<int16_t> input0( |
| 7266 | { |
| 7267 | 1, 2, 3, 4, 5, 6, |
| 7268 | 7, 8, 9, 10, 11, 12 |
| 7269 | }); |
| 7270 | |
| 7271 | std::vector<int16_t> input1({2}); |
| 7272 | |
| 7273 | std::vector<int16_t> output( |
| 7274 | { |
| 7275 | 2, 4, 6, 8, 10, 12, |
| 7276 | 14, 16, 18, 20, 22, 24 |
| 7277 | }); |
| 7278 | |
| 7279 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7280 | memoryManager, |
| 7281 | shape0, |
| 7282 | input0, |
| 7283 | 1.0f, |
| 7284 | 0, |
| 7285 | shape1, |
| 7286 | input1, |
| 7287 | 1.0f, |
| 7288 | 0, |
| 7289 | shape0, |
| 7290 | output, |
| 7291 | 1.0f, |
| 7292 | 0); |
| 7293 | } |
| 7294 | |
| 7295 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 7296 | armnn::IWorkloadFactory& workloadFactory, |
| 7297 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7298 | { |
| 7299 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7300 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7301 | |
| 7302 | std::vector<int16_t> input0( |
| 7303 | { |
| 7304 | 1, 2, 3, 4, 5, 6, |
| 7305 | 7, 8, 9, 10, 11, 12 |
| 7306 | }); |
| 7307 | |
| 7308 | std::vector<int16_t> input1({1, 2, 3}); |
| 7309 | |
| 7310 | std::vector<int16_t> output( |
| 7311 | { |
| 7312 | 1, 4, 9, 4, 10, 18, |
| 7313 | 7, 16, 27, 10, 22, 36 |
| 7314 | }); |
| 7315 | |
| 7316 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7317 | memoryManager, |
| 7318 | shape0, |
| 7319 | input0, |
| 7320 | 1.0f, |
| 7321 | 0, |
| 7322 | shape1, |
| 7323 | input1, |
| 7324 | 1.0f, |
| 7325 | 0, |
| 7326 | shape0, |
| 7327 | output, |
| 7328 | 1.0f, |
| 7329 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7330 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7331 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7332 | namespace |
| 7333 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7334 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7335 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 7336 | armnn::IWorkloadFactory& workloadFactory, |
| 7337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7338 | const unsigned int shape0[4], |
| 7339 | const std::vector<T>& values0, |
| 7340 | float scale0, |
| 7341 | int32_t offset0, |
| 7342 | const unsigned int shape1[4], |
| 7343 | const std::vector<T> & values1, |
| 7344 | float scale1, |
| 7345 | int32_t offset1, |
| 7346 | const unsigned int outShape[4], |
| 7347 | const std::vector<T> & outValues, |
| 7348 | float outScale, |
| 7349 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7350 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7351 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7352 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7353 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7354 | |
| 7355 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7356 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7357 | |
| 7358 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7359 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7360 | |
| 7361 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7362 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7363 | |
| 7364 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7365 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7366 | |
| 7367 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7368 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7369 | |
| 7370 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7371 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7372 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7373 | |
| 7374 | armnn::SubtractionQueueDescriptor data; |
| 7375 | armnn::WorkloadInfo info; |
| 7376 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7377 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7378 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7379 | |
| 7380 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 7381 | |
| 7382 | inputHandle0->Allocate(); |
| 7383 | inputHandle1->Allocate(); |
| 7384 | outputHandle->Allocate(); |
| 7385 | |
| 7386 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7387 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7388 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7389 | workload->PostAllocationConfigure(); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7390 | workload->Execute(); |
| 7391 | |
| 7392 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7393 | |
| 7394 | return result; |
| 7395 | } |
| 7396 | } // anonymous namespace |
| 7397 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7398 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 7399 | armnn::IWorkloadFactory& workloadFactory, |
| 7400 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7401 | { |
| 7402 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7403 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7404 | |
| 7405 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7406 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 7407 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 7408 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7409 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7410 | memoryManager, |
| 7411 | shape0, input0, 0.5f, 2, |
| 7412 | shape1, input1, 1.0f, 0, |
| 7413 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7414 | } |
| 7415 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7416 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 7417 | armnn::IWorkloadFactory& workloadFactory, |
| 7418 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7419 | { |
| 7420 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7421 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7422 | |
| 7423 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7424 | std::vector<uint8_t> input1({ 2 }); |
| 7425 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 7426 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7427 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7428 | memoryManager, |
| 7429 | shape0, input0, 0.5f, 2, |
| 7430 | shape1, input1, 1.0f, 0, |
| 7431 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7432 | } |
| 7433 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7434 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 7435 | armnn::IWorkloadFactory& workloadFactory, |
| 7436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7437 | { |
| 7438 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7439 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7440 | |
| 7441 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7442 | std::vector<uint8_t> input1({ 2, 1 }); |
| 7443 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 7444 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7445 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7446 | memoryManager, |
| 7447 | shape0, input0, 1.0f, 0, |
| 7448 | shape1, input1, 1.0f, 0, |
| 7449 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7450 | } |
| 7451 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7452 | LayerTestResult<float, 4> SubtractionTest( |
| 7453 | armnn::IWorkloadFactory& workloadFactory, |
| 7454 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7455 | { |
| 7456 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7457 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7458 | |
| 7459 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7460 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 7461 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 7462 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7463 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7464 | memoryManager, |
| 7465 | shape0, input0, 1.0f, 0, |
| 7466 | shape1, input1, 1.0f, 0, |
| 7467 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7468 | } |
| 7469 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7470 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 7471 | armnn::IWorkloadFactory& workloadFactory, |
| 7472 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7473 | { |
| 7474 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7475 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7476 | |
| 7477 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7478 | std::vector<float> input1({ 10 }); |
| 7479 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 7480 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7481 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7482 | memoryManager, |
| 7483 | shape0, input0, 1.0f, 0, |
| 7484 | shape1, input1, 1.0f, 0, |
| 7485 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7486 | } |
| 7487 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7488 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 7489 | armnn::IWorkloadFactory& workloadFactory, |
| 7490 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7491 | { |
| 7492 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7493 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 7494 | |
| 7495 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7496 | std::vector<float> input1({ 10, -5 }); |
| 7497 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 7498 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7499 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7500 | memoryManager, |
| 7501 | shape0, input0, 1.0f, 0, |
| 7502 | shape1, input1, 1.0f, 0, |
| 7503 | shape0, output, 1.0f, 0); |
| 7504 | } |
| 7505 | |
| 7506 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 7507 | armnn::IWorkloadFactory& workloadFactory, |
| 7508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7509 | { |
| 7510 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7511 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7512 | |
| 7513 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7514 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 7515 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 7516 | |
| 7517 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7518 | memoryManager, |
| 7519 | shape0, input0, 0.5f, 0, |
| 7520 | shape1, input1, 1.0f, 0, |
| 7521 | shape0, output, 1.0f, 0); |
| 7522 | } |
| 7523 | |
| 7524 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 7525 | armnn::IWorkloadFactory& workloadFactory, |
| 7526 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7527 | { |
| 7528 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7529 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7530 | |
| 7531 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7532 | std::vector<int16_t> input1({ 2 }); |
| 7533 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 7534 | |
| 7535 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7536 | memoryManager, |
| 7537 | shape0, input0, 0.5f, 0, |
| 7538 | shape1, input1, 1.0f, 0, |
| 7539 | shape0, output, 1.0f, 0); |
| 7540 | } |
| 7541 | |
| 7542 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 7543 | armnn::IWorkloadFactory& workloadFactory, |
| 7544 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7545 | { |
| 7546 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7547 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7548 | |
| 7549 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7550 | std::vector<int16_t> input1({ 2, 1 }); |
| 7551 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 7552 | |
| 7553 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7554 | memoryManager, |
| 7555 | shape0, input0, 1.0f, 0, |
| 7556 | shape1, input1, 1.0f, 0, |
| 7557 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7558 | } |
| 7559 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7560 | LayerTestResult<uint8_t, 4> ResizeBilinearNopUint8Test( |
| 7561 | armnn::IWorkloadFactory& workloadFactory, |
| 7562 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7563 | { |
| 7564 | constexpr unsigned int inputWidth = 4; |
| 7565 | constexpr unsigned int inputHeight = 4; |
| 7566 | constexpr unsigned int inputChannels = 1; |
| 7567 | constexpr unsigned int inputBatchSize = 1; |
| 7568 | |
| 7569 | constexpr unsigned int outputWidth = inputWidth; |
| 7570 | constexpr unsigned int outputHeight = inputHeight; |
| 7571 | constexpr unsigned int outputChannels = inputChannels; |
| 7572 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7573 | |
| 7574 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7575 | armnn::DataType::QuantisedAsymm8); |
| 7576 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 7577 | inputTensorInfo.SetQuantizationOffset(-3); |
| 7578 | |
| 7579 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7580 | armnn::DataType::QuantisedAsymm8); |
| 7581 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 7582 | outputTensorInfo.SetQuantizationOffset(-3); |
| 7583 | |
| 7584 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7585 | 1, 2, 3, 4, |
| 7586 | 2, 3, 4, 5, |
| 7587 | 3, 4, 5, 6, |
| 7588 | 4, 5, 6, 7 |
| 7589 | })); |
| 7590 | |
| 7591 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7592 | result.outputExpected = input; |
| 7593 | |
| 7594 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7595 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7596 | |
| 7597 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7598 | armnn::WorkloadInfo info; |
| 7599 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7600 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7601 | |
| 7602 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7603 | |
| 7604 | inputHandle->Allocate(); |
| 7605 | outputHandle->Allocate(); |
| 7606 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7607 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7608 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7609 | workload->Execute(); |
| 7610 | |
| 7611 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7612 | return result; |
| 7613 | } |
| 7614 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7615 | LayerTestResult<uint8_t, 4> SimpleResizeBilinearUint8Test( |
| 7616 | armnn::IWorkloadFactory& workloadFactory, |
| 7617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7618 | { |
| 7619 | constexpr unsigned int inputWidth = 2; |
| 7620 | constexpr unsigned int inputHeight = 2; |
| 7621 | constexpr unsigned int inputChannels = 1; |
| 7622 | constexpr unsigned int inputBatchSize = 1; |
| 7623 | |
| 7624 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 7625 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 7626 | constexpr unsigned int outputChannels = inputChannels; |
| 7627 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7628 | |
| 7629 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7630 | armnn::DataType::QuantisedAsymm8); |
| 7631 | inputTensorInfo.SetQuantizationScale(0.1567f); |
| 7632 | inputTensorInfo.SetQuantizationOffset(1); |
| 7633 | |
| 7634 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7635 | armnn::DataType::QuantisedAsymm8); |
| 7636 | outputTensorInfo.SetQuantizationScale(0.1567f); |
| 7637 | outputTensorInfo.SetQuantizationOffset(1); |
| 7638 | |
| 7639 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7640 | 1, 255, |
| 7641 | 200, 250 |
| 7642 | })); |
| 7643 | |
| 7644 | // The 'resize bilinear' operation projects the top-left corner of output texels into the input image, |
| 7645 | // 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] | 7646 | // 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] | 7647 | // that was at position (0,0) of the input matrix (rather than an average, which we would expect if projecting |
| 7648 | // the centre). |
| 7649 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7650 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7651 | 1 |
| 7652 | })); |
| 7653 | |
| 7654 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7655 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7656 | |
| 7657 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7658 | armnn::WorkloadInfo info; |
| 7659 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7660 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7661 | |
| 7662 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7663 | |
| 7664 | inputHandle->Allocate(); |
| 7665 | outputHandle->Allocate(); |
| 7666 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7667 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7668 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7669 | workload->Execute(); |
| 7670 | |
| 7671 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7672 | return result; |
| 7673 | } |
| 7674 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7675 | LayerTestResult<uint8_t, 4> ResizeBilinearSqMinUint8Test( |
| 7676 | armnn::IWorkloadFactory& workloadFactory, |
| 7677 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7678 | { |
| 7679 | constexpr unsigned int inputWidth = 4; |
| 7680 | constexpr unsigned int inputHeight = 4; |
| 7681 | constexpr unsigned int inputChannels = 1; |
| 7682 | constexpr unsigned int inputBatchSize = 1; |
| 7683 | |
| 7684 | constexpr unsigned int outputWidth = inputWidth / 2; |
| 7685 | constexpr unsigned int outputHeight = inputHeight / 2; |
| 7686 | constexpr unsigned int outputChannels = inputChannels; |
| 7687 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7688 | |
| 7689 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7690 | armnn::DataType::QuantisedAsymm8); |
| 7691 | inputTensorInfo.SetQuantizationScale(3.141592f); |
| 7692 | inputTensorInfo.SetQuantizationOffset(3); |
| 7693 | |
| 7694 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7695 | armnn::DataType::QuantisedAsymm8); |
| 7696 | outputTensorInfo.SetQuantizationScale(3.141592f); |
| 7697 | outputTensorInfo.SetQuantizationOffset(3); |
| 7698 | |
| 7699 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7700 | 1, 2, 3, 4, |
| 7701 | 2, 3, 4, 5, |
| 7702 | 3, 4, 5, 6, |
| 7703 | 4, 5, 6, 7 |
| 7704 | })); |
| 7705 | |
| 7706 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7707 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7708 | 1, 3, |
| 7709 | 3, 5 |
| 7710 | })); |
| 7711 | |
| 7712 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7713 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7714 | |
| 7715 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7716 | armnn::WorkloadInfo info; |
| 7717 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7718 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7719 | |
| 7720 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7721 | |
| 7722 | inputHandle->Allocate(); |
| 7723 | outputHandle->Allocate(); |
| 7724 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7725 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7726 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7727 | workload->Execute(); |
| 7728 | |
| 7729 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7730 | return result; |
| 7731 | } |
| 7732 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7733 | LayerTestResult<uint8_t, 4> ResizeBilinearMinUint8Test( |
| 7734 | armnn::IWorkloadFactory& workloadFactory, |
| 7735 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7736 | { |
| 7737 | constexpr unsigned int inputWidth = 3; |
| 7738 | constexpr unsigned int inputHeight = 2; |
| 7739 | constexpr unsigned int inputChannels = 1; |
| 7740 | constexpr unsigned int inputBatchSize = 1; |
| 7741 | |
| 7742 | constexpr unsigned int outputWidth = 2; |
| 7743 | constexpr unsigned int outputHeight = 1; |
| 7744 | constexpr unsigned int outputChannels = inputChannels; |
| 7745 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7746 | |
| 7747 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7748 | armnn::DataType::QuantisedAsymm8); |
| 7749 | inputTensorInfo.SetQuantizationScale(1.5f); |
| 7750 | inputTensorInfo.SetQuantizationOffset(-1); |
| 7751 | |
| 7752 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7753 | armnn::DataType::QuantisedAsymm8); |
| 7754 | outputTensorInfo.SetQuantizationScale(1.5f); |
| 7755 | outputTensorInfo.SetQuantizationOffset(-1); |
| 7756 | |
| 7757 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7758 | 1, 2, 3, // 3.0, 4.5, 6.0 |
| 7759 | 5, 8, 13 // 9.0, 13.5, 21.0 |
| 7760 | })); |
| 7761 | |
| 7762 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7763 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7764 | 1, 3 // 3.0, 5.25 |
| 7765 | })); |
| 7766 | |
| 7767 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7768 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7769 | |
| 7770 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7771 | armnn::WorkloadInfo info; |
| 7772 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7773 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7774 | |
| 7775 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7776 | |
| 7777 | inputHandle->Allocate(); |
| 7778 | outputHandle->Allocate(); |
| 7779 | |
| 7780 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7781 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7782 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7783 | workload->Execute(); |
| 7784 | |
| 7785 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7786 | return result; |
| 7787 | } |
| 7788 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7789 | LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test( |
| 7790 | armnn::IWorkloadFactory& workloadFactory, |
| 7791 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7792 | { |
| 7793 | constexpr unsigned int inputWidth = 2; |
| 7794 | constexpr unsigned int inputHeight = 3; |
| 7795 | constexpr unsigned int inputChannels = 1; |
| 7796 | constexpr unsigned int inputBatchSize = 1; |
| 7797 | |
| 7798 | constexpr unsigned int outputWidth = 5; |
| 7799 | constexpr unsigned int outputHeight = 3; |
| 7800 | constexpr unsigned int outputChannels = inputChannels; |
| 7801 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 7802 | |
| 7803 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 7804 | armnn::DataType::QuantisedAsymm8); |
| 7805 | inputTensorInfo.SetQuantizationScale(0.010765f); |
| 7806 | inputTensorInfo.SetQuantizationOffset(7); |
| 7807 | |
| 7808 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 7809 | armnn::DataType::QuantisedAsymm8); |
| 7810 | outputTensorInfo.SetQuantizationScale(0.010132f); |
| 7811 | outputTensorInfo.SetQuantizationOffset(-18); |
| 7812 | |
| 7813 | auto input = MakeTensor<uint8_t, 4>(inputTensorInfo, std::vector<uint8_t>({ |
| 7814 | 24, 228, // 0.183005, 2.379065, |
| 7815 | 105, 128, // 1.05497, 1.302565 |
| 7816 | 230, 71 // 2.400595, 0.68896 |
| 7817 | })); |
| 7818 | |
| 7819 | LayerTestResult<uint8_t, 4> result(outputTensorInfo); |
| 7820 | result.outputExpected = MakeTensor<uint8_t, 4>(outputTensorInfo, std::vector<uint8_t>({ |
| 7821 | 0, 87, 173, 217, 217, // 0.18300501, 1.06142902, 1.93985295, 2.37906504, 2.37906504 |
| 7822 | 86, 96, 106, 111, 111, // 1.05497003, 1.15400803, 1.25304604, 1.30256498, 1.30256498 |
| 7823 | 219, 151, 84, 50, 50 // 2.40059495, 1.71594095, 1.03128707, 0.68896002, 0.68896002 |
| 7824 | })); |
| 7825 | |
| 7826 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7827 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7828 | |
| 7829 | armnn::ResizeBilinearQueueDescriptor descriptor; |
| 7830 | armnn::WorkloadInfo info; |
| 7831 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7832 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7833 | |
| 7834 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResizeBilinear(descriptor, info); |
| 7835 | |
| 7836 | inputHandle->Allocate(); |
| 7837 | outputHandle->Allocate(); |
| 7838 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 7839 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7840 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7841 | workload->Execute(); |
| 7842 | |
| 7843 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7844 | return result; |
| 7845 | } |
| 7846 | |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7847 | LayerTestResult<float, 2> Rsqrt2dTestCommon( |
| 7848 | armnn::IWorkloadFactory& workloadFactory, |
| 7849 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7850 | const armnn::TensorInfo inputTensorInfo, |
| 7851 | const armnn::TensorInfo outputTensorInfo, |
| 7852 | std::vector<float> inputValues, |
| 7853 | std::vector<float> expectedOutputValues) |
| 7854 | { |
| 7855 | auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7856 | |
| 7857 | LayerTestResult<float, 2> result(outputTensorInfo); |
| 7858 | result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, std::vector<float>(expectedOutputValues)); |
| 7859 | |
| 7860 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7861 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7862 | |
| 7863 | armnn::RsqrtQueueDescriptor descriptor; |
| 7864 | |
| 7865 | armnn::WorkloadInfo info; |
| 7866 | |
| 7867 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7868 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7869 | |
| 7870 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7871 | |
| 7872 | inputHandle->Allocate(); |
| 7873 | outputHandle->Allocate(); |
| 7874 | |
| 7875 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
| 7876 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7877 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7878 | workload->Execute(); |
| 7879 | |
| 7880 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
| 7881 | |
| 7882 | return result; |
| 7883 | } |
| 7884 | LayerTestResult<float, 2> Rsqrt2dTest( |
| 7885 | armnn::IWorkloadFactory& workloadFactory, |
| 7886 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7887 | { |
| 7888 | const armnn::TensorShape inputShape{ 2, 2 }; |
| 7889 | const armnn::TensorShape outputShape{ 2, 2 }; |
| 7890 | |
| 7891 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7892 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7893 | |
| 7894 | std::vector<float> inputValues |
| 7895 | { |
| 7896 | 1.f, 4.f, |
| 7897 | 16.f, 25.f |
| 7898 | }; |
| 7899 | |
| 7900 | std::vector<float> expectedOutputValues |
| 7901 | { |
| 7902 | 1.f, 0.5f, |
| 7903 | 0.25f, 0.2f |
| 7904 | }; |
| 7905 | |
| 7906 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7907 | inputTensorInfo, outputTensorInfo, |
| 7908 | inputValues, expectedOutputValues); |
| 7909 | } |
| 7910 | |
| 7911 | LayerTestResult<float, 3> Rsqrt3dTest( |
| 7912 | armnn::IWorkloadFactory& workloadFactory, |
| 7913 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7914 | { |
| 7915 | const armnn::TensorShape inputShape{ 3, 1, 2 }; |
| 7916 | const armnn::TensorShape outputShape{ 3, 1, 2 }; |
| 7917 | |
| 7918 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7919 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7920 | |
| 7921 | std::vector<float> inputValues |
| 7922 | { |
| 7923 | 1.f, 4.f, 16.f, |
| 7924 | 25.f, 64.f, 100.f |
| 7925 | }; |
| 7926 | |
| 7927 | std::vector<float> expectedOutputValues |
| 7928 | { |
| 7929 | 1.f, 0.5f, 0.25f, |
| 7930 | 0.2f, 0.125f, 0.1f |
| 7931 | }; |
| 7932 | |
| 7933 | auto inputTensor = MakeTensor<float, 3>(inputTensorInfo, std::vector<float>(inputValues)); |
| 7934 | |
| 7935 | LayerTestResult<float, 3> result(outputTensorInfo); |
| 7936 | result.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float >(expectedOutputValues)); |
| 7937 | |
| 7938 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 7939 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7940 | |
| 7941 | armnn::RsqrtQueueDescriptor descriptor; |
| 7942 | |
| 7943 | armnn::WorkloadInfo info; |
| 7944 | |
| 7945 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 7946 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 7947 | |
| 7948 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); |
| 7949 | |
| 7950 | inputHandle->Allocate(); |
| 7951 | outputHandle->Allocate(); |
| 7952 | |
| 7953 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 7954 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7955 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 7956 | workload->Execute(); |
| 7957 | |
| 7958 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 7959 | |
| 7960 | return result; |
| 7961 | } |
| 7962 | |
| 7963 | LayerTestResult<float, 2> RsqrtZeroTest( |
| 7964 | armnn::IWorkloadFactory& workloadFactory, |
| 7965 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7966 | { |
| 7967 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 7968 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 7969 | |
| 7970 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7971 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7972 | |
| 7973 | std::vector<float> inputValues |
| 7974 | { |
| 7975 | 0.f, -0.f |
| 7976 | }; |
| 7977 | |
| 7978 | std::vector<float> expectedOutputValues |
| 7979 | { |
| 7980 | INFINITY, -INFINITY |
| 7981 | }; |
| 7982 | |
| 7983 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 7984 | inputTensorInfo, outputTensorInfo, |
| 7985 | inputValues, expectedOutputValues); |
| 7986 | } |
| 7987 | |
| 7988 | LayerTestResult<float, 2> RsqrtNegativeTest( |
| 7989 | armnn::IWorkloadFactory& workloadFactory, |
| 7990 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7991 | { |
| 7992 | const armnn::TensorShape inputShape{ 1, 2 }; |
| 7993 | const armnn::TensorShape outputShape{ 1, 2 }; |
| 7994 | |
| 7995 | const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); |
| 7996 | const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); |
| 7997 | |
| 7998 | std::vector<float> inputValues |
| 7999 | { |
| 8000 | -25.f, -16.f |
| 8001 | }; |
| 8002 | |
| 8003 | std::vector<float> expectedOutputValues |
| 8004 | { |
| 8005 | -NAN, -NAN |
| 8006 | }; |
| 8007 | |
| 8008 | return Rsqrt2dTestCommon(workloadFactory, memoryManager, |
| 8009 | inputTensorInfo, outputTensorInfo, |
| 8010 | inputValues, expectedOutputValues); |
| 8011 | } |
| 8012 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8013 | LayerTestResult<float, 4> BatchNormTest( |
| 8014 | armnn::IWorkloadFactory& workloadFactory, |
| 8015 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8016 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8017 | // BatchSize: 1 |
| 8018 | // Channels: 2 |
| 8019 | // Height: 3 |
| 8020 | // Width: 2 |
| 8021 | |
| 8022 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8023 | std::vector<float> inputValues |
| 8024 | { |
| 8025 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8026 | 1.f, 4.f, |
| 8027 | 4.f, 2.f, |
| 8028 | 1.f, 6.f, |
| 8029 | |
| 8030 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8031 | 1.f, 1.f, |
| 8032 | 4.f, 1.f, |
| 8033 | -2.f, 4.f |
| 8034 | }; |
| 8035 | std::vector<float> expectedOutputValues |
| 8036 | { |
| 8037 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8038 | 1.f, 4.f, |
| 8039 | 4.f, 2.f, |
| 8040 | 1.f, 6.f, |
| 8041 | |
| 8042 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8043 | 3.f, 3.f, |
| 8044 | 4.f, 3.f, |
| 8045 | 2.f, 4.f |
| 8046 | }; |
| 8047 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8048 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8049 | workloadFactory, memoryManager, |
| 8050 | inputOutputShape, inputValues, expectedOutputValues, |
| 8051 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8052 | } |
| 8053 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8054 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 8055 | armnn::IWorkloadFactory& workloadFactory, |
| 8056 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8057 | { |
| 8058 | // BatchSize: 1 |
| 8059 | // Height: 3 |
| 8060 | // Width: 2 |
| 8061 | // Channels: 2 |
| 8062 | |
| 8063 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8064 | std::vector<float> inputValues |
| 8065 | { |
| 8066 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8067 | 1.f, 1.f, |
| 8068 | 4.f, 1.f, |
| 8069 | |
| 8070 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8071 | 4.f, 4.f, |
| 8072 | 2.f, 1.f, |
| 8073 | |
| 8074 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8075 | 1.f, -2.f, |
| 8076 | 6.f, 4.f |
| 8077 | }; |
| 8078 | std::vector<float> expectedOutputValues |
| 8079 | { |
| 8080 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8081 | 1.f, 3.f, |
| 8082 | 4.f, 3.f, |
| 8083 | |
| 8084 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8085 | 4.f, 4.f, |
| 8086 | 2.f, 3.f, |
| 8087 | |
| 8088 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8089 | 1.f, 2.f, |
| 8090 | 6.f, 4.f |
| 8091 | }; |
| 8092 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8093 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 8094 | workloadFactory, memoryManager, |
| 8095 | inputOutputShape, inputValues, expectedOutputValues, |
| 8096 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8097 | } |
| 8098 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8099 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 8100 | armnn::IWorkloadFactory& workloadFactory, |
| 8101 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8102 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8103 | // BatchSize: 1 |
| 8104 | // Channels: 2 |
| 8105 | // Height: 3 |
| 8106 | // Width: 2 |
| 8107 | |
| 8108 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 8109 | std::vector<float> inputValues |
| 8110 | { |
| 8111 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8112 | 1.f, 4.f, |
| 8113 | 4.f, 2.f, |
| 8114 | 1.f, 6.f, |
| 8115 | |
| 8116 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8117 | 1.f, 1.f, |
| 8118 | 4.f, 1.f, |
| 8119 | -2.f, 4.f |
| 8120 | }; |
| 8121 | std::vector<float> expectedOutputValues |
| 8122 | { |
| 8123 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 8124 | 1.f, 4.f, |
| 8125 | 4.f, 2.f, |
| 8126 | 1.f, 6.f, |
| 8127 | |
| 8128 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 8129 | 3.f, 3.f, |
| 8130 | 4.f, 3.f, |
| 8131 | 2.f, 4.f |
| 8132 | }; |
| 8133 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8134 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8135 | workloadFactory, memoryManager, |
| 8136 | inputOutputShape, inputValues, expectedOutputValues, |
| 8137 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8138 | } |
| 8139 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8140 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 8141 | armnn::IWorkloadFactory& workloadFactory, |
| 8142 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 8143 | { |
| 8144 | // BatchSize: 1 |
| 8145 | // Height: 3 |
| 8146 | // Width: 2 |
| 8147 | // Channels: 2 |
| 8148 | |
| 8149 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 8150 | std::vector<float> inputValues |
| 8151 | { |
| 8152 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8153 | 1.f, 1.f, |
| 8154 | 4.f, 1.f, |
| 8155 | |
| 8156 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8157 | 4.f, 4.f, |
| 8158 | 2.f, 1.f, |
| 8159 | |
| 8160 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8161 | 1.f, -2.f, |
| 8162 | 6.f, 4.f |
| 8163 | }; |
| 8164 | std::vector<float> expectedOutputValues |
| 8165 | { |
| 8166 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8167 | 1.f, 3.f, |
| 8168 | 4.f, 3.f, |
| 8169 | |
| 8170 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8171 | 4.f, 4.f, |
| 8172 | 2.f, 3.f, |
| 8173 | |
| 8174 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8175 | 1.f, 2.f, |
| 8176 | 6.f, 4.f |
| 8177 | }; |
| 8178 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8179 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 8180 | (workloadFactory, memoryManager, |
| 8181 | inputOutputShape, inputValues, expectedOutputValues, |
| 8182 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8183 | } |
| 8184 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8185 | LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8186 | armnn::IWorkloadFactory& workloadFactory, |
| 8187 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8188 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8189 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8190 | } |
| 8191 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8192 | LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest( |
| 8193 | armnn::IWorkloadFactory& workloadFactory, |
| 8194 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8195 | { |
| 8196 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 2e-6f, 1); |
| 8197 | } |
| 8198 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8199 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 8200 | armnn::IWorkloadFactory& workloadFactory, |
| 8201 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8202 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8203 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8204 | } |
| 8205 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8206 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 8207 | armnn::IWorkloadFactory& workloadFactory, |
| 8208 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8209 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8210 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8211 | } |
| 8212 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8213 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 8214 | armnn::IWorkloadFactory& workloadFactory, |
| 8215 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8216 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8217 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8218 | } |
| 8219 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8220 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 8221 | armnn::IWorkloadFactory& workloadFactory, |
| 8222 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8223 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8224 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8225 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8226 | } |
| 8227 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8228 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 8229 | armnn::IWorkloadFactory& workloadFactory, |
| 8230 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8231 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8232 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8233 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8234 | } |
| 8235 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8236 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 8237 | armnn::IWorkloadFactory& workloadFactory, |
| 8238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8239 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8240 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8241 | } |
| 8242 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8243 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 8244 | armnn::IWorkloadFactory& workloadFactory, |
| 8245 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8246 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8247 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8248 | } |
| 8249 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8250 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 8251 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8252 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8253 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8254 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8255 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8256 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8257 | } |
| 8258 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8259 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 8260 | armnn::IWorkloadFactory& workloadFactory, |
| 8261 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8262 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8263 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8264 | } |
| 8265 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8266 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 8267 | armnn::IWorkloadFactory& workloadFactory, |
| 8268 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8269 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8270 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8271 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8272 | } |
| 8273 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8274 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 8275 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8276 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8277 | bool useSubtensor) |
| 8278 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8279 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8280 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8281 | } |
| 8282 | |
| 8283 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 8284 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8285 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8286 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8287 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8288 | } |
| 8289 | |
| 8290 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 8291 | armnn::IWorkloadFactory& workloadFactory, |
| 8292 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8293 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8294 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8295 | } |
| 8296 | |
| 8297 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 8298 | armnn::IWorkloadFactory& workloadFactory, |
| 8299 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8300 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8301 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8302 | } |
| 8303 | |
| 8304 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 8305 | armnn::IWorkloadFactory& workloadFactory, |
| 8306 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 8307 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8308 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8309 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8310 | } |
| 8311 | |
| 8312 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 8313 | armnn::IWorkloadFactory& workloadFactory, |
| 8314 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8315 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8316 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8317 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8318 | } |
| 8319 | |
| 8320 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 8321 | armnn::IWorkloadFactory& workloadFactory, |
| 8322 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8323 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8324 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8325 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8326 | } |
| 8327 | |
| 8328 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 8329 | armnn::IWorkloadFactory& workloadFactory, |
| 8330 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8331 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8332 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8333 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8334 | } |
| 8335 | |
| 8336 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 8337 | armnn::IWorkloadFactory& workloadFactory, |
| 8338 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8339 | bool useSubtensor) |
| 8340 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8341 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8342 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8343 | } |
| 8344 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8345 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 8346 | armnn::IWorkloadFactory& workloadFactory, |
| 8347 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8348 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8349 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8350 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 8351 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8352 | } |
| 8353 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8354 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 8355 | armnn::IWorkloadFactory& workloadFactory, |
| 8356 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8357 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8358 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8359 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8360 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8361 | } |
| 8362 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8363 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 8364 | armnn::IWorkloadFactory& workloadFactory, |
| 8365 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8366 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8367 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8368 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 8369 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8370 | } |
| 8371 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8372 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 8373 | armnn::IWorkloadFactory& workloadFactory, |
| 8374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8375 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8376 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8377 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8378 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8379 | } |
| 8380 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8381 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 8382 | armnn::IWorkloadFactory& workloadFactory, |
| 8383 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8384 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8385 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8386 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8387 | } |
| 8388 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8389 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 8390 | armnn::IWorkloadFactory& workloadFactory, |
| 8391 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8392 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8393 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8394 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8395 | } |
| 8396 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8397 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 8398 | armnn::IWorkloadFactory& workloadFactory, |
| 8399 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8400 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8401 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8402 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8403 | } |
| 8404 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8405 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 8406 | armnn::IWorkloadFactory& workloadFactory, |
| 8407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8408 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8409 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8410 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8411 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8412 | } |
| 8413 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8414 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 8415 | armnn::IWorkloadFactory& workloadFactory, |
| 8416 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8417 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8418 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8419 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8420 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8421 | } |
| 8422 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8423 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 8424 | armnn::IWorkloadFactory& workloadFactory, |
| 8425 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8426 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8427 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8428 | } |
| 8429 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8430 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 8431 | armnn::IWorkloadFactory& workloadFactory, |
| 8432 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8433 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8434 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8435 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8436 | } |
| 8437 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8438 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 8439 | armnn::IWorkloadFactory& workloadFactory, |
| 8440 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8441 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8442 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8443 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8444 | } |
| 8445 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8446 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 8447 | armnn::IWorkloadFactory& workloadFactory, |
| 8448 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8449 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8450 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8451 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8452 | } |
| 8453 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8454 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 8455 | armnn::IWorkloadFactory& workloadFactory, |
| 8456 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8457 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8458 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8459 | } |
| 8460 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8461 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 8462 | armnn::IWorkloadFactory& workloadFactory, |
| 8463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8464 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8465 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8466 | } |
| 8467 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8468 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 8469 | armnn::IWorkloadFactory& workloadFactory, |
| 8470 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8471 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8472 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8473 | } |
| 8474 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8475 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 8476 | armnn::IWorkloadFactory& workloadFactory, |
| 8477 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8478 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8479 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8480 | } |
| 8481 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8482 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 8483 | armnn::IWorkloadFactory& workloadFactory, |
| 8484 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8485 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8486 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8487 | } |
| 8488 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8489 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 8490 | armnn::IWorkloadFactory& workloadFactory, |
| 8491 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8492 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8493 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8494 | } |
| 8495 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8496 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 8497 | armnn::IWorkloadFactory& workloadFactory, |
| 8498 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8499 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8500 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8501 | } |
| 8502 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8503 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 8504 | armnn::IWorkloadFactory& workloadFactory, |
| 8505 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
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 L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
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<float, 4> L2Pooling2dSize9Test( |
| 8511 | armnn::IWorkloadFactory& workloadFactory, |
| 8512 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8513 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8514 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8515 | } |
| 8516 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8517 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 8518 | armnn::IWorkloadFactory& workloadFactory, |
| 8519 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8520 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8521 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8522 | } |
| 8523 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8524 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 8525 | armnn::IWorkloadFactory& workloadFactory, |
| 8526 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8527 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8528 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8529 | } |
| 8530 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8531 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 8532 | armnn::IWorkloadFactory& workloadFactory, |
| 8533 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8534 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8535 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8536 | } |
| 8537 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8538 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 8539 | armnn::IWorkloadFactory& workloadFactory, |
| 8540 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8541 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8542 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8543 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8544 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8545 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8546 | } |
| 8547 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8548 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 8549 | armnn::IWorkloadFactory& workloadFactory, |
| 8550 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8551 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8552 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8553 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8554 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8555 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8556 | } |
| 8557 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8558 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 8559 | armnn::IWorkloadFactory& workloadFactory, |
| 8560 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8561 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8562 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8563 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8564 | } |
| 8565 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8566 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 8567 | armnn::IWorkloadFactory& workloadFactory, |
| 8568 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8569 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8570 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8571 | } |
| 8572 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8573 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 8574 | armnn::IWorkloadFactory& workloadFactory, |
| 8575 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8576 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8577 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8578 | workloadFactory, memoryManager, 1.0f, -5); |
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<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 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 IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(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<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 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 IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8593 | workloadFactory, memoryManager, 1.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8594 | } |
| 8595 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8596 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 8597 | armnn::IWorkloadFactory& workloadFactory, |
| 8598 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8599 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8600 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8601 | } |
| 8602 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8603 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 8604 | armnn::IWorkloadFactory& workloadFactory, |
| 8605 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8606 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8607 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8608 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8609 | } |
| 8610 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8611 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 8612 | armnn::IWorkloadFactory& workloadFactory, |
| 8613 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8614 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8615 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 8616 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8617 | } |
| 8618 | |
| 8619 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8620 | armnn::IWorkloadFactory& workloadFactory, |
| 8621 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8622 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8623 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8624 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8625 | } |
| 8626 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8627 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 8628 | armnn::IWorkloadFactory& workloadFactory, |
| 8629 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8630 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8631 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8632 | } |
| 8633 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8634 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 8635 | armnn::IWorkloadFactory& workloadFactory, |
| 8636 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8637 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8638 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8639 | workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8640 | } |
| 8641 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8642 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 8643 | armnn::IWorkloadFactory& workloadFactory, |
| 8644 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8645 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8646 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8647 | } |
| 8648 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8649 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 8650 | armnn::IWorkloadFactory& workloadFactory, |
| 8651 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8652 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8653 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8654 | } |
| 8655 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8656 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 8657 | armnn::IWorkloadFactory& workloadFactory, |
| 8658 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8659 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8660 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8661 | } |
| 8662 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8663 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 8664 | armnn::IWorkloadFactory& workloadFactory, |
| 8665 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8666 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8667 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8668 | } |
| 8669 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8670 | LayerTestResult<float, 4> SimplePermuteFloat32Test( |
| 8671 | armnn::IWorkloadFactory& workloadFactory, |
| 8672 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8673 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8674 | return SimplePermuteFloat32TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8675 | }; |
| 8676 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8677 | LayerTestResult<uint8_t, 4> SimplePermuteUint8Test( |
| 8678 | armnn::IWorkloadFactory& workloadFactory, |
| 8679 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8680 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8681 | return SimplePermuteUint8TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8682 | }; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8683 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8684 | LayerTestResult<float, 4> PermuteFloat32ValueSet1Test( |
| 8685 | armnn::IWorkloadFactory& workloadFactory, |
| 8686 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8687 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8688 | return PermuteFloat32ValueSet1TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8689 | }; |
| 8690 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8691 | LayerTestResult<float, 4> PermuteFloat32ValueSet2Test( |
| 8692 | armnn::IWorkloadFactory& workloadFactory, |
| 8693 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8694 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8695 | return PermuteFloat32ValueSet2TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8696 | }; |
| 8697 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8698 | LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( |
| 8699 | armnn::IWorkloadFactory& workloadFactory, |
| 8700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8701 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8702 | return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8703 | }; |
| 8704 | |
| 8705 | namespace |
| 8706 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8707 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8708 | template <typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8709 | LayerTestResult<T, OutputDim> MeanTestHelper( |
| 8710 | armnn::IWorkloadFactory& workloadFactory, |
| 8711 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8712 | const unsigned int* inputShape, |
| 8713 | const std::vector<T>& inputData, |
| 8714 | const std::vector<unsigned int>& axis, |
| 8715 | bool keepDims, |
| 8716 | const unsigned int* outputShape, |
| 8717 | const std::vector<T>& outputData, |
| 8718 | float scale = 1.0f, |
| 8719 | int32_t offset = 0) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8720 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8721 | 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] | 8722 | |
| 8723 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 8724 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 8725 | |
| 8726 | inputTensorInfo.SetQuantizationScale(scale); |
| 8727 | inputTensorInfo.SetQuantizationOffset(offset); |
| 8728 | |
| 8729 | outputTensorInfo.SetQuantizationScale(scale); |
| 8730 | outputTensorInfo.SetQuantizationOffset(offset); |
| 8731 | |
| 8732 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 8733 | |
| 8734 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 8735 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 8736 | |
| 8737 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 8738 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 8739 | |
| 8740 | armnn::MeanQueueDescriptor data; |
| 8741 | data.m_Parameters.m_Axis = axis; |
| 8742 | data.m_Parameters.m_KeepDims = keepDims; |
| 8743 | armnn::WorkloadInfo info; |
| 8744 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 8745 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 8746 | |
| 8747 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); |
| 8748 | |
| 8749 | inputHandle->Allocate(); |
| 8750 | outputHandle->Allocate(); |
| 8751 | |
| 8752 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 8753 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8754 | workload->PostAllocationConfigure(); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8755 | workload->Execute(); |
| 8756 | |
| 8757 | CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); |
| 8758 | |
| 8759 | return result; |
| 8760 | } |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8761 | |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8762 | } // anonymous namespace |
| 8763 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8764 | LayerTestResult<uint8_t, 1> MeanUint8SimpleTest( |
| 8765 | armnn::IWorkloadFactory& workloadFactory, |
| 8766 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8767 | { |
| 8768 | const unsigned int inputShape[] = { 3, 2 }; |
| 8769 | const unsigned int outputShape[] = { 1 }; |
| 8770 | |
| 8771 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8772 | std::vector<uint8_t> output({ 2 }); |
| 8773 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8774 | return MeanTestHelper<uint8_t, 2, 1>( |
| 8775 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8776 | } |
| 8777 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8778 | LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest( |
| 8779 | armnn::IWorkloadFactory& workloadFactory, |
| 8780 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8781 | { |
| 8782 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8783 | const unsigned int outputShape[] = { 1, 1, 2 }; |
| 8784 | |
| 8785 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8786 | std::vector<uint8_t> output({ 2, 2 }); |
| 8787 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8788 | return MeanTestHelper<uint8_t, 4, 3>( |
| 8789 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8790 | } |
| 8791 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8792 | LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest( |
| 8793 | armnn::IWorkloadFactory& workloadFactory, |
| 8794 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8795 | { |
| 8796 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8797 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8798 | |
| 8799 | std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 }); |
| 8800 | std::vector<uint8_t> output({ 2, 2 }); |
| 8801 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8802 | return MeanTestHelper<uint8_t, 4, 4>( |
| 8803 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8804 | } |
| 8805 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8806 | LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest( |
| 8807 | armnn::IWorkloadFactory& workloadFactory, |
| 8808 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8809 | { |
| 8810 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8811 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8812 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8813 | 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] | 8814 | std::vector<uint8_t> output({ 1, 3, 5 }); |
| 8815 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8816 | return MeanTestHelper<uint8_t, 4, 4>( |
| 8817 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8818 | } |
| 8819 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8820 | LayerTestResult<uint8_t, 1> MeanVtsUint8Test( |
| 8821 | armnn::IWorkloadFactory& workloadFactory, |
| 8822 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8823 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8824 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8825 | const unsigned int outputShape[] = { 2 }; |
| 8826 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8827 | 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, |
| 8828 | 24 }); |
| 8829 | std::vector<uint8_t> output({ 12, 13 }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8830 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8831 | return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, memoryManager, |
| 8832 | inputShape, input, { 0, 1 }, false, outputShape, |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8833 | output, 0.8f, 5); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8834 | } |
| 8835 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8836 | LayerTestResult<float, 1> MeanFloatSimpleTest( |
| 8837 | armnn::IWorkloadFactory& workloadFactory, |
| 8838 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8839 | { |
| 8840 | const unsigned int inputShape[] = { 3, 2 }; |
| 8841 | const unsigned int outputShape[] = { 1 }; |
| 8842 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8843 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8844 | std::vector<float> output({ 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8845 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8846 | return MeanTestHelper<float, 2, 1>( |
| 8847 | workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8848 | } |
| 8849 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8850 | LayerTestResult<float, 3> MeanFloatSimpleAxisTest( |
| 8851 | armnn::IWorkloadFactory& workloadFactory, |
| 8852 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8853 | { |
| 8854 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8855 | const unsigned int outputShape[] = { 3, 1, 2 }; |
| 8856 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8857 | 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 }); |
| 8858 | 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] | 8859 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8860 | return MeanTestHelper<float, 4, 3>( |
| 8861 | workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8862 | } |
| 8863 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8864 | LayerTestResult<float, 4> MeanFloatKeepDimsTest( |
| 8865 | armnn::IWorkloadFactory& workloadFactory, |
| 8866 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8867 | { |
| 8868 | const unsigned int inputShape[] = { 1, 1, 3, 2 }; |
| 8869 | const unsigned int outputShape[] = { 1, 1, 1, 2 }; |
| 8870 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8871 | std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }); |
| 8872 | std::vector<float> output({ 2.0f, 2.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8873 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8874 | return MeanTestHelper<float, 4, 4>( |
| 8875 | workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8876 | } |
| 8877 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8878 | LayerTestResult<float, 4> MeanFloatMultipleDimsTest( |
| 8879 | armnn::IWorkloadFactory& workloadFactory, |
| 8880 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8881 | { |
| 8882 | const unsigned int inputShape[] = { 2, 3, 1, 2 }; |
| 8883 | const unsigned int outputShape[] = { 1, 3, 1, 1 }; |
| 8884 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8885 | 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 }); |
| 8886 | std::vector<float> output({ 1.5f, 3.5f, 5.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8887 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8888 | return MeanTestHelper<float, 4, 4>( |
| 8889 | workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8890 | } |
| 8891 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8892 | LayerTestResult<float, 1> MeanVtsFloat1Test( |
| 8893 | armnn::IWorkloadFactory& workloadFactory, |
| 8894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8895 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8896 | const unsigned int inputShape[] = { 4, 3, 2 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8897 | const unsigned int outputShape[] = { 2 }; |
| 8898 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8899 | 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, |
| 8900 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8901 | std::vector<float> output({ 12.0f, 13.0f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8902 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8903 | return MeanTestHelper<float, 3, 1>( |
| 8904 | workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8905 | } |
| 8906 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8907 | LayerTestResult<float, 3> MeanVtsFloat2Test( |
| 8908 | armnn::IWorkloadFactory& workloadFactory, |
| 8909 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8910 | { |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8911 | const unsigned int inputShape[] = { 4, 3, 2 }; |
| 8912 | const unsigned int outputShape[] = { 1, 3, 1 }; |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8913 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8914 | 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, |
| 8915 | 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); |
| 8916 | std::vector<float> output({ 10.5f, 12.5f, 14.5f }); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8917 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8918 | return MeanTestHelper<float, 3, 3>( |
| 8919 | workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8920 | } |
| 8921 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8922 | LayerTestResult<float, 3> MeanVtsFloat3Test( |
| 8923 | armnn::IWorkloadFactory& workloadFactory, |
| 8924 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 8925 | { |
| 8926 | const unsigned int inputShape[] = { 1, 2, 2, 1 }; |
| 8927 | const unsigned int outputShape[] = { 1, 2, 1 }; |
| 8928 | |
| 8929 | std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); |
| 8930 | std::vector<float> output({ 1.5f, 3.5f }); |
| 8931 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8932 | return MeanTestHelper<float, 4, 3>( |
| 8933 | workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8934 | } |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8935 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8936 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 8937 | armnn::IWorkloadFactory& workloadFactory, |
| 8938 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8939 | { |
| 8940 | // Create Initial Tensor |
| 8941 | // 1, 2, 3 |
| 8942 | // 4, 5, 6 |
| 8943 | // 7, 8, 9 |
| 8944 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8945 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 8946 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8947 | |
| 8948 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 8949 | {1, 2, 3, |
| 8950 | 4, 5, 6, |
| 8951 | 7, 8, 9 |
| 8952 | }); |
| 8953 | |
| 8954 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 8955 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 8956 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 8957 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 8958 | |
| 8959 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 8960 | // Result = |
| 8961 | // 1, 3 |
| 8962 | // 7, 9 |
| 8963 | armnn::Pooling2dDescriptor descriptor; |
| 8964 | descriptor.m_PoolHeight = 1; |
| 8965 | descriptor.m_PoolWidth = 1; |
| 8966 | descriptor.m_StrideX = 2; |
| 8967 | descriptor.m_StrideY = 2; |
| 8968 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 8969 | |
| 8970 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 8971 | queueDescriptor.m_Parameters = descriptor; |
| 8972 | armnn::WorkloadInfo workloadInfo; |
| 8973 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 8974 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8975 | |
| 8976 | // Create the MaxPool |
| 8977 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 8978 | |
| 8979 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 8980 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 8981 | boost::multi_array<float, 4> resultMaxPool; |
| 8982 | resultMaxPool.resize(shape); |
| 8983 | |
| 8984 | |
| 8985 | // Create addition with another tensor the same size |
| 8986 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 8987 | // with the initial tensor. |
| 8988 | // 12, 16 |
| 8989 | // 24, 28 |
| 8990 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8991 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 8992 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8993 | |
| 8994 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 8995 | {12, 16, |
| 8996 | 24, 28, |
| 8997 | }); |
| 8998 | |
| 8999 | // Expected output tensor after MaxPool and Addition. |
| 9000 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 9001 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 9002 | { |
| 9003 | 13, 19, |
| 9004 | 31, 37 |
| 9005 | })); |
| 9006 | |
| 9007 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 9008 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 9009 | |
| 9010 | armnn::AdditionQueueDescriptor data; |
| 9011 | armnn::WorkloadInfo info; |
| 9012 | |
| 9013 | // Add the output of the MaxPool and the new tensor |
| 9014 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 9015 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 9016 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 9017 | |
| 9018 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 9019 | |
| 9020 | poolingInputHandle->Allocate(); |
| 9021 | poolingOutputHandle->Allocate(); |
| 9022 | addInputHandle->Allocate(); |
| 9023 | addOutputHandle->Allocate(); |
| 9024 | |
| 9025 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 9026 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 9027 | |
| 9028 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 9029 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 9030 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9031 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9032 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9033 | addWorkload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9034 | addWorkload->Execute(); |
| 9035 | |
| 9036 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 9037 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 9038 | return addRet; |
| 9039 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9040 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9041 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 9042 | armnn::IWorkloadFactory& workloadFactory, |
| 9043 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9044 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9045 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9046 | } |
| 9047 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9048 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 9049 | armnn::IWorkloadFactory& workloadFactory, |
| 9050 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9051 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9052 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9053 | } |
| 9054 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9055 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 9056 | armnn::IWorkloadFactory& workloadFactory, |
| 9057 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9058 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9059 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9060 | } |
| 9061 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9062 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 9063 | armnn::IWorkloadFactory& workloadFactory, |
| 9064 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9065 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9066 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9067 | } |
| 9068 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9069 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 9070 | armnn::IWorkloadFactory& workloadFactory, |
| 9071 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9072 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9073 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9074 | } |
| 9075 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9076 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 9077 | armnn::IWorkloadFactory& workloadFactory, |
| 9078 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9079 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9080 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9081 | } |
| 9082 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9083 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 9084 | armnn::IWorkloadFactory& workloadFactory, |
| 9085 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9086 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9087 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9088 | } |
| 9089 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9090 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 9091 | armnn::IWorkloadFactory& workloadFactory, |
| 9092 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9093 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9094 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9095 | } |
| 9096 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9097 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 9098 | armnn::IWorkloadFactory& workloadFactory, |
| 9099 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9100 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9101 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9102 | } |
| 9103 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9104 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 9105 | armnn::IWorkloadFactory& workloadFactory, |
| 9106 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9107 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9108 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9109 | } |
| 9110 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9111 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 9112 | armnn::IWorkloadFactory& workloadFactory, |
| 9113 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9114 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9115 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9116 | } |
| 9117 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9118 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 9119 | armnn::IWorkloadFactory& workloadFactory, |
| 9120 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9121 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9122 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9123 | } |
| 9124 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9125 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 9126 | armnn::IWorkloadFactory& workloadFactory, |
| 9127 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9128 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9129 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9130 | } |
| 9131 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9132 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 9133 | armnn::IWorkloadFactory& workloadFactory, |
| 9134 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9135 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9136 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9137 | } |
| 9138 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9139 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 9140 | armnn::IWorkloadFactory& workloadFactory, |
| 9141 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9142 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9143 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9144 | } |
| 9145 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9146 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 9147 | armnn::IWorkloadFactory& workloadFactory, |
| 9148 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9149 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9150 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9151 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9152 | |
| 9153 | namespace { |
| 9154 | |
| 9155 | template<typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9156 | LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( |
| 9157 | armnn::IWorkloadFactory &workloadFactory, |
| 9158 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 9159 | const armnn::DataLayout& dataLayout, |
| 9160 | const unsigned int *inputShape, |
| 9161 | const std::vector<T> &inputData, |
| 9162 | const std::vector<unsigned int> &blockShape, |
| 9163 | const std::vector<std::pair<unsigned int, unsigned int>> &crops, |
| 9164 | const unsigned int *outputShape, |
| 9165 | const std::vector<T> &outputData, |
| 9166 | float scale = 1.0f, |
| 9167 | int32_t offset = 0) |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9168 | { |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9169 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
| 9170 | |
| 9171 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 9172 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 9173 | |
| 9174 | inputTensorInfo.SetQuantizationScale(scale); |
| 9175 | inputTensorInfo.SetQuantizationOffset(offset); |
| 9176 | |
| 9177 | outputTensorInfo.SetQuantizationScale(scale); |
| 9178 | outputTensorInfo.SetQuantizationOffset(offset); |
| 9179 | |
| 9180 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 9181 | |
| 9182 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 9183 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 9184 | |
| 9185 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 9186 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 9187 | |
| 9188 | armnn::BatchToSpaceNdQueueDescriptor data; |
| 9189 | data.m_Parameters.m_DataLayout = dataLayout; |
| 9190 | data.m_Parameters.m_BlockShape = blockShape; |
| 9191 | data.m_Parameters.m_Crops = crops; |
| 9192 | armnn::WorkloadInfo info; |
| 9193 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 9194 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 9195 | |
| 9196 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); |
| 9197 | |
| 9198 | inputHandle->Allocate(); |
| 9199 | outputHandle->Allocate(); |
| 9200 | |
| 9201 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 9202 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9203 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9204 | workload->Execute(); |
| 9205 | |
| 9206 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 9207 | |
| 9208 | return result; |
| 9209 | } |
| 9210 | |
| 9211 | } // anonymous namespace |
| 9212 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9213 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( |
| 9214 | armnn::IWorkloadFactory& workloadFactory, |
| 9215 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9216 | { |
| 9217 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9218 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9219 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9220 | std::vector<float> input({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9221 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9222 | 1.0f, 3.0f, |
| 9223 | // Batch 0, Height 1, Width (2) x Channel (1) |
| 9224 | 9.0f, 11.0f, |
| 9225 | |
| 9226 | |
| 9227 | // Batch 1, Height 0, Width (2) x Channel (1) |
| 9228 | 2.0f, 4.0f, |
| 9229 | // Batch 1, Height 1, Width (2) x Channel (1) |
| 9230 | 10.0f, 12.0f, |
| 9231 | |
| 9232 | |
| 9233 | // Batch 2, Height 0, Width (2) x Channel (1) |
| 9234 | 5.0f, 7.0f, |
| 9235 | // Batch 2, Height 1, Width (2) x Channel (1) |
| 9236 | 13.0f, 15.0f, |
| 9237 | |
| 9238 | // Batch 3, Height 0, Width (2) x Channel (3) |
| 9239 | 6.0f, 8.0f, |
| 9240 | // Batch 3, Height 1, Width (2) x Channel (1) |
| 9241 | 14.0f, 16.0f |
| 9242 | }); |
| 9243 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9244 | std::vector<float> expectedOutput({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9245 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9246 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9247 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9248 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9249 | }); |
| 9250 | |
| 9251 | std::vector<unsigned int> blockShape {2, 2}; |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9252 | 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] | 9253 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9254 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9255 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9256 | crops, outputShape, expectedOutput); |
| 9257 | } |
| 9258 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9259 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( |
| 9260 | armnn::IWorkloadFactory& workloadFactory, |
| 9261 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9262 | { |
| 9263 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9264 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9265 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9266 | std::vector<float> input({ |
| 9267 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9268 | 1.0f, 2.0f, 3.0f, 4.0f |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9269 | }); |
| 9270 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9271 | 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] | 9272 | |
| 9273 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9274 | 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] | 9275 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9276 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9277 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9278 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9279 | } |
| 9280 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9281 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( |
| 9282 | armnn::IWorkloadFactory& workloadFactory, |
| 9283 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9284 | { |
| 9285 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9286 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9287 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9288 | 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] | 9289 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9290 | 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] | 9291 | |
| 9292 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9293 | 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] | 9294 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9295 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9296 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9297 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9298 | } |
| 9299 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9300 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( |
| 9301 | armnn::IWorkloadFactory& workloadFactory, |
| 9302 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9303 | { |
| 9304 | const unsigned int inputShape[] = {8, 1, 3, 1}; |
| 9305 | const unsigned int outputShape[] = {2, 2, 4, 1}; |
| 9306 | |
| 9307 | std::vector<float> input({ |
| 9308 | 0.0f, 1.0f, 3.0f, |
| 9309 | 0.0f, 9.0f, 11.0f, |
| 9310 | 0.0f, 2.0f, 4.0f, |
| 9311 | 0.0f, 10.0f, 12.0f, |
| 9312 | 0.0f, 5.0f, 7.0f, |
| 9313 | 0.0f, 13.0f, 15.0f, |
| 9314 | 0.0f, 6.0f, 8.0f, |
| 9315 | 0.0f, 14.0f, 16.0f |
| 9316 | }); |
| 9317 | |
| 9318 | std::vector<float> expectedOutput({ |
| 9319 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9320 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9321 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9322 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9323 | }); |
| 9324 | |
| 9325 | std::vector<unsigned int> blockShape({2, 2}); |
| 9326 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9327 | |
| 9328 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9329 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9330 | crops, outputShape, expectedOutput); |
| 9331 | } |
| 9332 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9333 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( |
| 9334 | armnn::IWorkloadFactory &workloadFactory, |
| 9335 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9336 | { |
| 9337 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9338 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9339 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9340 | 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] | 9341 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9342 | std::vector<float> expectedOutput({ |
| 9343 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9344 | 1.0f, 4.0f, |
| 9345 | 7.0f, 10.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9346 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9347 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9348 | 2.0f, 5.0f, |
| 9349 | 8.0f, 11.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9350 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9351 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9352 | 3.0f, 6.0f, |
| 9353 | 9.0f, 12.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9354 | }); |
| 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::NCHW, inputShape, input, blockShape, |
| 9361 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9362 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9363 | |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9364 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9365 | armnn::IWorkloadFactory& workloadFactory, |
| 9366 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9367 | { |
| 9368 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9369 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9370 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9371 | std::vector<float> input({ |
| 9372 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9373 | 1.0f, 2.0f, 3.0f, 4.0f |
| 9374 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9375 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9376 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9377 | |
| 9378 | std::vector<unsigned int> blockShape({2, 2}); |
| 9379 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9380 | |
| 9381 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9382 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9383 | crops, outputShape, expectedOutput); |
| 9384 | } |
| 9385 | |
| 9386 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9387 | armnn::IWorkloadFactory& workloadFactory, |
| 9388 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9389 | { |
| 9390 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9391 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9392 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9393 | 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] | 9394 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9395 | std::vector<float> expectedOutput({ |
| 9396 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9397 | 1.0f, 7.0f, |
| 9398 | 2.0f, 8.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9399 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9400 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9401 | 3.0f, 9.0f, |
| 9402 | 4.0f, 10.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9403 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9404 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9405 | 5.0f, 11.0f, |
| 9406 | 6.0f, 12.0f, |
| 9407 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9408 | |
| 9409 | std::vector<unsigned int> blockShape({2, 2}); |
| 9410 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9411 | |
| 9412 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9413 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9414 | crops, outputShape, expectedOutput); |
| 9415 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9416 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9417 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( |
| 9418 | armnn::IWorkloadFactory& workloadFactory, |
| 9419 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9420 | { |
| 9421 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
| 9422 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
| 9423 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9424 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); |
| 9425 | 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] | 9426 | |
| 9427 | std::vector<unsigned int> blockShape({2, 2}); |
| 9428 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9429 | |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 9430 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, |
| 9431 | input, blockShape, crops, outputShape, expectedOutput); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9432 | } |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9433 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9434 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( |
| 9435 | armnn::IWorkloadFactory& workloadFactory, |
| 9436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9437 | { |
| 9438 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9439 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9440 | |
| 9441 | std::vector<uint8_t> input({ |
| 9442 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9443 | 1, 2, 3, 4 |
| 9444 | }); |
| 9445 | |
| 9446 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9447 | |
| 9448 | std::vector<unsigned int> blockShape({2, 2}); |
| 9449 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9450 | |
| 9451 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9452 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9453 | crops, outputShape, expectedOutput); |
| 9454 | } |
| 9455 | |
| 9456 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( |
| 9457 | armnn::IWorkloadFactory& workloadFactory, |
| 9458 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9459 | { |
| 9460 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9461 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9462 | |
| 9463 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9464 | |
| 9465 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9466 | |
| 9467 | std::vector<unsigned int> blockShape({2, 2}); |
| 9468 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9469 | |
| 9470 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9471 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9472 | crops, outputShape, expectedOutput); |
| 9473 | } |
| 9474 | |
| 9475 | |
| 9476 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( |
| 9477 | armnn::IWorkloadFactory &workloadFactory, |
| 9478 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9479 | { |
| 9480 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9481 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9482 | |
| 9483 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9484 | |
| 9485 | std::vector<uint8_t> expectedOutput({ |
| 9486 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9487 | 1, 4, |
| 9488 | 7, 10, |
| 9489 | |
| 9490 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9491 | 2, 5, |
| 9492 | 8, 11, |
| 9493 | |
| 9494 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9495 | 3, 6, |
| 9496 | 9, 12, |
| 9497 | }); |
| 9498 | |
| 9499 | std::vector<unsigned int> blockShape({2, 2}); |
| 9500 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9501 | |
| 9502 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9503 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9504 | crops, outputShape, expectedOutput); |
| 9505 | } |
| 9506 | |
| 9507 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( |
| 9508 | armnn::IWorkloadFactory& workloadFactory, |
| 9509 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9510 | { |
| 9511 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9512 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9513 | |
| 9514 | std::vector<uint8_t> input({ |
| 9515 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9516 | 1, 2, 3, 4 |
| 9517 | }); |
| 9518 | |
| 9519 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9520 | |
| 9521 | std::vector<unsigned int> blockShape({2, 2}); |
| 9522 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9523 | |
| 9524 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9525 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9526 | crops, outputShape, expectedOutput); |
| 9527 | } |
| 9528 | |
| 9529 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( |
| 9530 | armnn::IWorkloadFactory& workloadFactory, |
| 9531 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9532 | { |
| 9533 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9534 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9535 | |
| 9536 | std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); |
| 9537 | |
| 9538 | std::vector<uint8_t> expectedOutput({ |
| 9539 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9540 | 1, 7, |
| 9541 | 2, 8, |
| 9542 | |
| 9543 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9544 | 3, 9, |
| 9545 | 4, 10, |
| 9546 | |
| 9547 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9548 | 5, 11, |
| 9549 | 6, 12, |
| 9550 | }); |
| 9551 | |
| 9552 | std::vector<unsigned int> blockShape({2, 2}); |
| 9553 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9554 | |
| 9555 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9556 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9557 | crops, outputShape, expectedOutput); |
| 9558 | } |
| 9559 | |
| 9560 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( |
| 9561 | armnn::IWorkloadFactory& workloadFactory, |
| 9562 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9563 | { |
| 9564 | const unsigned int inputShape[] = {8, 1, 1, 3}; |
| 9565 | const unsigned int outputShape[] = {2, 1, 2, 4}; |
| 9566 | |
| 9567 | std::vector<uint8_t> input({ |
| 9568 | 0, 1, 3, 0, 9, 11, |
| 9569 | 0, 2, 4, 0, 10, 12, |
| 9570 | 0, 5, 7, 0, 13, 15, |
| 9571 | 0, 6, 8, 0, 14, 16 |
| 9572 | }); |
| 9573 | |
| 9574 | std::vector<uint8_t> expectedOutput({ |
| 9575 | 1, 2, 3, 4, |
| 9576 | 5, 6, 7, 8, |
| 9577 | 9, 10, 11, 12, |
| 9578 | 13, 14, 15, 16 |
| 9579 | }); |
| 9580 | |
| 9581 | std::vector<unsigned int> blockShape({2, 2}); |
| 9582 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9583 | |
| 9584 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9585 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9586 | crops, outputShape, expectedOutput); |
| 9587 | } |
| 9588 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9589 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9590 | armnn::IWorkloadFactory& workloadFactory, |
| 9591 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9592 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9593 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9594 | } |
| 9595 | |
| 9596 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9597 | armnn::IWorkloadFactory& workloadFactory, |
| 9598 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9599 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9600 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9601 | } |
| 9602 | |
| 9603 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9604 | armnn::IWorkloadFactory& workloadFactory, |
| 9605 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9606 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9607 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9608 | } |
| 9609 | |
| 9610 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9611 | armnn::IWorkloadFactory& workloadFactory, |
| 9612 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9613 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9614 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9615 | } |
| 9616 | |
| 9617 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 9618 | armnn::IWorkloadFactory& workloadFactory, |
| 9619 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9620 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9621 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9622 | } |
| 9623 | |
| 9624 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 9625 | armnn::IWorkloadFactory& workloadFactory, |
| 9626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9627 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9628 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9629 | } |
| 9630 | |
| 9631 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 9632 | armnn::IWorkloadFactory& workloadFactory, |
| 9633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9634 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9635 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9636 | } |
| 9637 | |
| 9638 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 9639 | armnn::IWorkloadFactory& workloadFactory, |
| 9640 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9641 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9642 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9643 | } |
| 9644 | |
| 9645 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 9646 | armnn::IWorkloadFactory& workloadFactory, |
| 9647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9648 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9649 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9650 | } |
| 9651 | |
| 9652 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 9653 | armnn::IWorkloadFactory& workloadFactory, |
| 9654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9655 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9656 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9657 | } |
| 9658 | |
| 9659 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 9660 | armnn::IWorkloadFactory& workloadFactory, |
| 9661 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9662 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9663 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9664 | } |
| 9665 | |
| 9666 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 9667 | armnn::IWorkloadFactory& workloadFactory, |
| 9668 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9669 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9670 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9671 | } |
| 9672 | |
| 9673 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 9674 | armnn::IWorkloadFactory& workloadFactory, |
| 9675 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9676 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9677 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9678 | } |
| 9679 | |
| 9680 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 9681 | armnn::IWorkloadFactory& workloadFactory, |
| 9682 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9683 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9684 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9685 | } |
| 9686 | |
| 9687 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 9688 | armnn::IWorkloadFactory& workloadFactory, |
| 9689 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9690 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9691 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9692 | } |
| 9693 | |
| 9694 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 9695 | armnn::IWorkloadFactory& workloadFactory, |
| 9696 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9697 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9698 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9699 | } |
| 9700 | |
| 9701 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 9702 | armnn::IWorkloadFactory& workloadFactory, |
| 9703 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9704 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9705 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9706 | } |
| 9707 | |
| 9708 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 9709 | armnn::IWorkloadFactory& workloadFactory, |
| 9710 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9711 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9712 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9713 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9714 | |
| 9715 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 9716 | armnn::IWorkloadFactory& workloadFactory, |
| 9717 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9718 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9719 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9720 | } |
| 9721 | |
| 9722 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 9723 | armnn::IWorkloadFactory& workloadFactory, |
| 9724 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9725 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9726 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9727 | } |
| 9728 | |
| 9729 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 9730 | armnn::IWorkloadFactory& workloadFactory, |
| 9731 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9732 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9733 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9734 | } |
| 9735 | |
| 9736 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 9737 | armnn::IWorkloadFactory& workloadFactory, |
| 9738 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9739 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9740 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9741 | } |
| 9742 | |
| 9743 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 9744 | armnn::IWorkloadFactory& workloadFactory, |
| 9745 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9746 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9747 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9748 | } |
| 9749 | |
| 9750 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 9751 | armnn::IWorkloadFactory& workloadFactory, |
| 9752 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9753 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9754 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9755 | } |
| 9756 | |
| 9757 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 9758 | armnn::IWorkloadFactory& workloadFactory, |
| 9759 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9760 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9761 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9762 | } |
| 9763 | |
| 9764 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 9765 | armnn::IWorkloadFactory& workloadFactory, |
| 9766 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9767 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9768 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9769 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 9770 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 9771 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 9772 | armnn::IWorkloadFactory& workloadFactory, |
| 9773 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9774 | { |
| 9775 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9776 | } |
| 9777 | |
| 9778 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 9779 | armnn::IWorkloadFactory& workloadFactory, |
| 9780 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9781 | { |
| 9782 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9783 | } |
| 9784 | |
| 9785 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 9786 | armnn::IWorkloadFactory& workloadFactory, |
| 9787 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9788 | { |
| 9789 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9790 | } |
| 9791 | |
| 9792 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 9793 | armnn::IWorkloadFactory& workloadFactory, |
| 9794 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9795 | { |
| 9796 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9797 | } |
| 9798 | |
| 9799 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 9800 | armnn::IWorkloadFactory& workloadFactory, |
| 9801 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9802 | { |
| 9803 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9804 | } |
| 9805 | |
| 9806 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 9807 | armnn::IWorkloadFactory& workloadFactory, |
| 9808 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9809 | { |
| 9810 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9811 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 9812 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9813 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9814 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9815 | armnn::IWorkloadFactory& workloadFactory, |
| 9816 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9817 | { |
| 9818 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9819 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9820 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9821 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 9822 | armnn::IWorkloadFactory& workloadFactory, |
| 9823 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9824 | { |
| 9825 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9826 | } |
| 9827 | |
| 9828 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 9829 | armnn::IWorkloadFactory& workloadFactory, |
| 9830 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9831 | { |
| 9832 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9833 | } |
| 9834 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9835 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 9836 | armnn::IWorkloadFactory& workloadFactory, |
| 9837 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9838 | { |
| 9839 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9840 | } |
| 9841 | |
| 9842 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 9843 | armnn::IWorkloadFactory& workloadFactory, |
| 9844 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9845 | { |
| 9846 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9847 | } |
| 9848 | |
| 9849 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 9850 | armnn::IWorkloadFactory& workloadFactory, |
| 9851 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9852 | { |
| 9853 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9854 | } |