telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | #include "LayerTests.hpp" |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6 | #include "WorkloadTestUtils.hpp" |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 7 | #include "TensorUtils.hpp" |
Aron Virginas-Tar | d4f0fea | 2019-04-09 14:08:06 +0100 | [diff] [blame] | 8 | #include <ResolveType.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 9 | |
| 10 | #include "test/TensorHelpers.hpp" |
| 11 | #include "TensorCopyUtils.hpp" |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 12 | #include "Permute.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | |
| 14 | #include <boost/test/unit_test.hpp> |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 15 | #include <boost/assert.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 16 | |
David Beck | 711fa31 | 2018-09-24 10:46:38 +0100 | [diff] [blame] | 17 | #include <armnn/LayerSupport.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 19 | #include <backendsCommon/CpuTensorHandle.hpp> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 20 | #include <backendsCommon/IBackendInternal.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 21 | #include <backendsCommon/WorkloadFactory.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 23 | #include <reference/workloads/RefWorkloads.hpp> |
| 24 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | #include <algorithm> |
| 26 | #include <boost/cast.hpp> |
| 27 | |
| 28 | #include "WorkloadTestUtils.hpp" |
| 29 | #include "Conv2dTestImpl.hpp" |
| 30 | #include "BatchNormTestImpl.hpp" |
| 31 | #include "ActivationTestImpl.hpp" |
| 32 | #include "Pooling2dTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 33 | #include "FullyConnectedTestImpl.hpp" |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 34 | #include "GatherTestImpl.hpp" |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 35 | #include "SpaceToBatchNdTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 36 | #include "SplitterTestImpl.hpp" |
| 37 | #include "SoftmaxTestImpl.hpp" |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 38 | #include "StridedSliceTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 39 | #include "NormTestImpl.hpp" |
| 40 | #include "PermuteTestImpl.hpp" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 41 | #include "LstmTestImpl.hpp" |
| 42 | #include "ConvertFp16ToFp32TestImpl.hpp" |
| 43 | #include "ConvertFp32ToFp16TestImpl.hpp" |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 44 | #include "DebugTestImpl.hpp" |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 45 | #include "DequantizeTestImpl.hpp" |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 46 | #include "QuantizeTestImpl.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 47 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 48 | // 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] | 49 | static std::vector<float> ConvInput3x8x16({ |
| 50 | 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, |
| 51 | 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, |
| 52 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 53 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 54 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 55 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 56 | 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, |
| 57 | 0.5f, 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, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 59 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 60 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 61 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 62 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 63 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 64 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 65 | 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 66 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 67 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 68 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 69 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 70 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 71 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 72 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, |
| 73 | -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 |
| 74 | }); |
| 75 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | // 2-channel bias used by a number of Conv2d tests. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 77 | static std::vector<float> Bias2({0, 2}); |
| 78 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 79 | // 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] | 80 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 81 | boost::multi_array<T, 1> GetBias2(bool biasEnabled, float qScale) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 82 | { |
| 83 | if(biasEnabled) |
| 84 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 85 | armnn::TensorInfo biasDesc({static_cast<unsigned int>(Bias2.size())}, ArmnnType); |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 86 | boost::multi_array<T, 1> bias = MakeTensor<T, 1>(biasDesc, QuantizedVector<T>(qScale, 0.0f, Bias2)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 87 | return bias; |
| 88 | } |
| 89 | else |
| 90 | { |
| 91 | return boost::multi_array<T, 1>(); |
| 92 | } |
| 93 | } |
| 94 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 95 | 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] | 96 | LayerTestResult<T, 4> SimpleConvolution2d3x5TestCommon( |
| 97 | armnn::IWorkloadFactory& workloadFactory, |
| 98 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 99 | float qScale, |
| 100 | int32_t qOffset, |
| 101 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 102 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 103 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 104 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 105 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 106 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 107 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 108 | // Use a 2-element batch with 3-channel 3x5 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 109 | armnn::TensorInfo kernelDesc({2, 3, 5, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 110 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 111 | QuantizedVector<T>(qScale, qOffset, { |
| 112 | 1, 1, 1, |
| 113 | 1, -1, 1, |
| 114 | 1, 1, 1, |
| 115 | 1, 1, 1, |
| 116 | 1, 1, 1, |
| 117 | |
| 118 | 0, 0, 0, |
| 119 | 0, 0, 0, |
| 120 | 0, 0, 0, |
| 121 | 0, 0, 0, |
| 122 | 0, 0, 0, |
| 123 | |
| 124 | 2, 2, 2, |
| 125 | 2, 2, 2, |
| 126 | 2, 2, 2, |
| 127 | 2, 2, 2, |
| 128 | 2, 2, 2, |
| 129 | |
| 130 | |
| 131 | 0, 0, 0, |
| 132 | 0, 0, 0, |
| 133 | 0, 0, 0, |
| 134 | 0, 0, 0, |
| 135 | 0, 0, 0, |
| 136 | |
| 137 | 1, 1, 1, |
| 138 | 1, 1, 1, |
| 139 | 1, 1, 1, |
| 140 | 1, 1, 1, |
| 141 | 1, 1, 1, |
| 142 | |
| 143 | 0, 0, 0, |
| 144 | 0, 0, 0, |
| 145 | 0, 0, 0, |
| 146 | 0, 0, 0, |
| 147 | 0, 0, 0 |
| 148 | }))); |
| 149 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 150 | // Expected output is 2 batch elements of a 1-channel 14x4 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 151 | armnn::TensorInfo outputDesc({1, 2, 4, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 152 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 153 | QuantizedVector<T>(qScale, qOffset, { |
| 154 | -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, -24, |
| 155 | -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, -25, |
| 156 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 157 | -23.5f, -23.5f, -23.5f, |
| 158 | -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, -23.5f, |
| 159 | -23.5f, -23.5f, -23.5f, |
| 160 | |
| 161 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 162 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 163 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 164 | 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 165 | }))); |
| 166 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 167 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 168 | workloadFactory, |
| 169 | memoryManager, |
| 170 | input, |
| 171 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 172 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 173 | expectedOutput, |
| 174 | qScale, |
| 175 | qOffset, |
| 176 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 177 | } |
| 178 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 179 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 180 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 181 | LayerTestResult<T, 4> SimpleConvolution2d3x3TestCommon( |
| 182 | armnn::IWorkloadFactory& workloadFactory, |
| 183 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 184 | float qScale, |
| 185 | int32_t qOffset, |
| 186 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 187 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 188 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 189 | // Use a 3x3 kernel, which exercises ArmCompute's direct convolution path. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 190 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 191 | // Use common single-batch 3-channel 16x8 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 192 | armnn::TensorInfo inputDesc({1, 3, 8, 16}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 193 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, QuantizedVector<T>(qScale, qOffset, ConvInput3x8x16)); |
| 194 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 195 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 196 | armnn::TensorInfo kernelDesc({2, 3, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 197 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 198 | QuantizedVector<T>(qScale, qOffset, { |
| 199 | 1, 1, 1, |
| 200 | 1, -1, 1, |
| 201 | 1, 1, 1, |
| 202 | |
| 203 | 0, 0, 0, |
| 204 | 0, 0, 0, |
| 205 | 0, 0, 0, |
| 206 | |
| 207 | 2, 2, 2, |
| 208 | 2, 2, 2, |
| 209 | 2, 2, 2, |
| 210 | |
| 211 | |
| 212 | 0, 0, 0, |
| 213 | 0, 0, 0, |
| 214 | 0, 0, 0, |
| 215 | |
| 216 | 1, 1, 1, |
| 217 | 1, 1, 1, |
| 218 | 1, 1, 1, |
| 219 | |
| 220 | 0, 0, 0, |
| 221 | 0, 0, 0, |
| 222 | 0, 0, 0 |
| 223 | }))); |
| 224 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 225 | // Expected output is 1 batch of a 2-channel 14x6 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 226 | armnn::TensorInfo outputDesc({1, 2, 6, 14}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 227 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 228 | QuantizedVector<T>(qScale, qOffset, { |
| 229 | -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, -15, |
| 230 | -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, -16, |
| 231 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 232 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 233 | -14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f,-14.5f, |
| 234 | -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 | |
| 236 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 237 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 238 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 239 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 240 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 241 | 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 242 | }))); |
| 243 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 244 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 245 | workloadFactory, |
| 246 | memoryManager, |
| 247 | input, |
| 248 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 249 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 250 | expectedOutput, |
| 251 | qScale, |
| 252 | qOffset, |
| 253 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 254 | } |
| 255 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 256 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 257 | LayerTestResult<T, 4> SimpleConvolution2d3x3NhwcTestCommon( |
| 258 | armnn::IWorkloadFactory& workloadFactory, |
| 259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 260 | float qScale, |
| 261 | int32_t qOffset, |
| 262 | bool biasEnabled, |
| 263 | armnn::DataLayout dataLayout) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 264 | { |
| 265 | // Use common single-batch 5x5 image. |
| 266 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 267 | armnn::TensorInfo inputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 268 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 269 | { |
| 270 | 1, 5, 2, 3, |
| 271 | 8, 7, 3, 6, |
| 272 | 3, 3, 9, 1 |
| 273 | }); |
| 274 | |
| 275 | |
| 276 | // Use a 2-element batch of 3-channel 3x3 kernels. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 277 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 278 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, { |
| 279 | 4, 5, 6, |
| 280 | 0, 0, 0, |
| 281 | 3, 2, 1 |
| 282 | }); |
| 283 | |
| 284 | // Expected output is 1 batch of a 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 285 | armnn::TensorInfo outputDesc({1, 3, 4, 1}, ArmnnType); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 286 | |
| 287 | const std::vector<float> outputData = |
| 288 | { |
| 289 | 23, 41, 33, 21, |
| 290 | 44, 65, 76, 52, |
| 291 | 82, 85, 79, 42 |
| 292 | }; |
| 293 | |
| 294 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 295 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 296 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 297 | workloadFactory, |
| 298 | memoryManager, |
| 299 | input, |
| 300 | kernel, |
| 301 | boost::multi_array<T, 1>(), |
| 302 | expectedOutput, |
| 303 | dataLayout, |
| 304 | qScale, |
| 305 | qOffset); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 306 | } |
| 307 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 308 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 309 | LayerTestResult<T, 4> SimpleConvolution2d3x3Stride2x2TestCommon( |
| 310 | armnn::IWorkloadFactory& workloadFactory, |
| 311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 312 | float qScale, |
| 313 | int32_t qOffset, |
| 314 | bool biasEnabled, |
| 315 | const armnn::DataLayout& dataLayout) |
| 316 | { |
| 317 | // Input is a single-batch, 1 channel, 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 318 | armnn::TensorInfo inputDesc({1, 5, 5, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 319 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, |
| 320 | { |
| 321 | 1, 5, 2, 3, 5, |
| 322 | 8, 7, 3, 6, 3, |
| 323 | 3, 3, 9, 1, 9, |
| 324 | 4, 1, 8, 1, 3, |
| 325 | 6, 8, 1, 9, 2 |
| 326 | }); |
| 327 | |
| 328 | // Use a 3x3 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 329 | armnn::TensorInfo kernelDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 330 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, |
| 331 | { |
| 332 | 4, 5, 6, |
| 333 | 0, 0, 0, |
| 334 | 3, 2, 1 |
| 335 | }); |
| 336 | |
| 337 | // Expected output is a single-batch, 1 channel, 3x3 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 338 | armnn::TensorInfo outputDesc({1, 3, 3, 1}, ArmnnType); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 339 | |
| 340 | const std::vector<T> outputData = |
| 341 | { |
| 342 | 23, 33, 24, |
| 343 | 91, 99, 48, |
| 344 | 26, 50, 19 |
| 345 | }; |
| 346 | |
| 347 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, outputData); |
| 348 | |
| 349 | uint32_t padLeft = 1; |
| 350 | uint32_t padTop = 1; |
| 351 | uint32_t padRight = 1; |
| 352 | uint32_t padBottom = 1; |
| 353 | uint32_t strideX = 2; |
| 354 | uint32_t strideY = 2; |
| 355 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 356 | return SimpleConvolution2dNhwcTestImpl<ArmnnType, ArmnnType>( |
| 357 | workloadFactory, |
| 358 | memoryManager, |
| 359 | input, |
| 360 | kernel, |
| 361 | boost::multi_array<T, 1>(), |
| 362 | expectedOutput, |
| 363 | dataLayout, |
| 364 | qScale, |
| 365 | qOffset, |
| 366 | padLeft, |
| 367 | padTop, |
| 368 | padRight, |
| 369 | padBottom, |
| 370 | strideX, |
| 371 | strideY); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 372 | } |
| 373 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 374 | LayerTestResult<float, 4> SimpleConvolution2d3x5Test( |
| 375 | armnn::IWorkloadFactory& workloadFactory, |
| 376 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 377 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 378 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 379 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 380 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 381 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 382 | } |
| 383 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 384 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test( |
| 385 | armnn::IWorkloadFactory& workloadFactory, |
| 386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 387 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 388 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 389 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 390 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 391 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 392 | } |
| 393 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 394 | LayerTestResult<float, 4> SimpleConvolution2d3x3Test( |
| 395 | armnn::IWorkloadFactory& workloadFactory, |
| 396 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 397 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 398 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 399 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 400 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 401 | workloadFactory, memoryManager, 0.f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 402 | } |
| 403 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 404 | LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest( |
| 405 | armnn::IWorkloadFactory& workloadFactory, |
| 406 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 407 | bool biasEnabled) |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 408 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 409 | return SimpleConvolution2d3x3NhwcTestCommon<armnn::DataType::Float32>( |
| 410 | workloadFactory, |
| 411 | memoryManager, |
| 412 | 0.f, |
| 413 | 0, |
| 414 | biasEnabled, |
| 415 | armnn::DataLayout::NHWC); |
Francis Murtagh | d59116e | 2018-10-04 16:03:07 +0100 | [diff] [blame] | 416 | } |
| 417 | |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 418 | LayerTestResult<float, 4> SimpleConvolution2d3x3Stride2x2Test( |
| 419 | armnn::IWorkloadFactory& workloadFactory, |
| 420 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 421 | bool biasEnabled, |
| 422 | const armnn::DataLayout layout) |
| 423 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 424 | return SimpleConvolution2d3x3Stride2x2TestCommon<armnn::DataType::Float32>( |
| 425 | workloadFactory, |
| 426 | memoryManager, |
| 427 | 0.f, |
| 428 | 0, |
| 429 | biasEnabled, |
| 430 | layout); |
Mike Kelly | 7332ed8 | 2018-12-20 17:03:06 +0000 | [diff] [blame] | 431 | } |
| 432 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 433 | LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( |
| 434 | armnn::IWorkloadFactory& workloadFactory, |
| 435 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 436 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 437 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 438 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 439 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 440 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 441 | } |
| 442 | |
Mike Kelly | 2f80f6e | 2019-05-16 12:41:34 +0100 | [diff] [blame] | 443 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test( |
| 444 | armnn::IWorkloadFactory& workloadFactory, |
| 445 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 446 | bool biasEnabled, |
| 447 | const armnn::DataLayout layout) |
| 448 | { |
| 449 | return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 450 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 451 | } |
| 452 | |
| 453 | LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test( |
| 454 | armnn::IWorkloadFactory& workloadFactory, |
| 455 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 456 | bool biasEnabled, |
| 457 | const armnn::DataLayout layout) |
| 458 | { |
| 459 | return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 460 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 461 | } |
| 462 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 463 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 464 | typename T = armnn::ResolveType<ArmnnType>> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 465 | LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( |
| 466 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 467 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 468 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 469 | float qScale, |
| 470 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 471 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 472 | // Use a single-batch 1-channel 3x3 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 473 | armnn::TensorInfo inputDesc({1, 1, 3, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 474 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 475 | QuantizedVector<T>(qScale, qOffset, { |
| 476 | 11,21,31, |
| 477 | 12,22,32, |
| 478 | 13,23,33 |
| 479 | }))); |
| 480 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 481 | // Use 1 batch of a 1-channel 2x2 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 482 | armnn::TensorInfo kernelDesc({1, 1, 2, 2}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 483 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 484 | QuantizedVector<T>(qScale, qOffset, { |
| 485 | -11,-21, |
| 486 | -12,-22, |
| 487 | }))); |
| 488 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 489 | // Expected output is 1 batch of a 1-channel 6x8 image. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 490 | // Manually calculated like this: |
| 491 | //[-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 ..] |
| 492 | //[-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 ..] |
| 493 | //[-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 ..] |
| 494 | //[-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 ..] |
| 495 | //[-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 ..] |
| 496 | //[-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 ..] |
| 497 | //[..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ; ..... ..... ..... ..... ..] |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 498 | armnn::TensorInfo outputDesc({1, 1, 8, 6}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 499 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 500 | QuantizedVector<T>(qScale, qOffset, { |
| 501 | 0, 0, 0, 0, 0, 0, |
| 502 | -242, -594, -934, -372, 0, 0, |
| 503 | -495, -1190, -1850, -725, 0, 0, |
| 504 | -538, -1256, -1916, -748, 0, 0, |
| 505 | -273, -626, -946, -363, 0, 0, |
| 506 | 0, 0, 0, 0, 0, 0, |
| 507 | 0, 0, 0, 0, 0, 0, |
| 508 | 0, 0, 0, 0, 0, 0 |
| 509 | }))); |
| 510 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 511 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 512 | workloadFactory, |
| 513 | memoryManager, |
| 514 | input, |
| 515 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 516 | GetBias2<ArmnnBType>(false, qScale * qScale), |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 517 | expectedOutput, |
| 518 | qScale, |
| 519 | qOffset, |
| 520 | layout, |
| 521 | 1, // Padding left. |
| 522 | 2, // Padding top. |
| 523 | 3, // Padding right. |
| 524 | 4); // Padding bottom. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 525 | } |
| 526 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 527 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 528 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 529 | LayerTestResult<T, 4> SimpleConvolution2dAsymmetricPaddingTestCommon( |
| 530 | armnn::IWorkloadFactory& workloadFactory, |
| 531 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 532 | const armnn::DataLayout layout, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 533 | float qScale, |
| 534 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 535 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 536 | // Use a single-batch 1-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 537 | armnn::TensorInfo inputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 538 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputDesc, std::vector<T>( |
| 539 | QuantizedVector<T>(qScale, qOffset, { |
| 540 | 11,21,31,41,51, |
| 541 | 12,22,32,42,52, |
| 542 | 13,23,33,43,53, |
| 543 | 14,24,34,44,54, |
| 544 | 15,25,35,45,55, |
| 545 | }))); |
| 546 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 547 | // Use 1 batch of a 1-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 548 | armnn::TensorInfo kernelDesc({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 549 | boost::multi_array<T, 4> kernel = MakeTensor<T, 4>(kernelDesc, std::vector<T>( |
| 550 | QuantizedVector<T>(qScale, qOffset, { |
| 551 | -11,-21,-31,-41, |
| 552 | -12,-22,-32,-42, |
| 553 | -13,-23,-33,-43, |
| 554 | -14,-24,-34,-44, |
| 555 | }))); |
| 556 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 557 | // Expected output is 1 batch of a 1-channel 5x5 image. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 558 | armnn::TensorInfo outputDesc({ 1, 1, 5, 5 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 559 | std::vector<T> myVec(outputDesc.GetNumElements(), 0); |
| 560 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputDesc, std::vector<T>( |
| 561 | QuantizedVector<T>(qScale, qOffset, { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 562 | -7140, -10580, -13940, -9300, -5230, |
| 563 | -9590, -14120, -18520, -12290, -6860, |
| 564 | -9980, -14560, -18960, -12560, -7000, |
| 565 | -7518, -10904, -14144, -9318, -5152, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 566 | -5032, -7256, -9376, -6142, -3368, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 567 | }))); |
| 568 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 569 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 570 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 571 | memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 572 | input, |
| 573 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 574 | GetBias2<ArmnnBType>(false, qScale * qScale), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 575 | expectedOutput, |
| 576 | qScale, |
| 577 | qOffset, |
narpra01 | 5f70318 | 2018-10-26 16:24:58 +0100 | [diff] [blame] | 578 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 579 | 1, // Padding left. |
| 580 | 1, // Padding top. |
| 581 | 2, // Padding right. |
| 582 | 2); // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 583 | } |
| 584 | |
Teresa Charlin | edeeb16 | 2019-06-14 11:09:19 +0100 | [diff] [blame^] | 585 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest( |
| 586 | armnn::IWorkloadFactory& workloadFactory, |
| 587 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 588 | armnn::DataLayout layout) |
| 589 | { |
| 590 | return SimpleConvolution2dAsymmetricPaddingTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 591 | workloadFactory, memoryManager, layout, 0.0f, 0); |
| 592 | } |
| 593 | |
| 594 | LayerTestResult<float, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest( |
| 595 | armnn::IWorkloadFactory& workloadFactory, |
| 596 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 597 | armnn::DataLayout layout) |
| 598 | { |
| 599 | return Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon |
| 600 | <armnn::DataType::Float32, armnn::DataType::Float32>( |
| 601 | workloadFactory, memoryManager, layout, 0.0f, 0); |
| 602 | } |
| 603 | |
| 604 | LayerTestResult<float, 4> Convolution1dTest( |
| 605 | armnn::IWorkloadFactory& workloadFactory, |
| 606 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 607 | bool biasEnabled) |
| 608 | { |
| 609 | return Convolution1dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 610 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
| 611 | } |
| 612 | |
| 613 | LayerTestResult<uint8_t, 4> Convolution1dUint8Test( |
| 614 | armnn::IWorkloadFactory& workloadFactory, |
| 615 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 616 | bool biasEnabled) |
| 617 | { |
| 618 | return Convolution1dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 619 | workloadFactory, memoryManager, 0.1f, 128, biasEnabled); |
| 620 | } |
| 621 | |
| 622 | LayerTestResult<float,4> CompareConvolution2dTest( |
| 623 | armnn::IWorkloadFactory& workloadFactory, |
| 624 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 625 | armnn::IWorkloadFactory& refWorkloadFactory) |
| 626 | { |
| 627 | return CompareConvolution2dTestImpl<armnn::DataType::Float32>( |
| 628 | workloadFactory, memoryManager, refWorkloadFactory); |
| 629 | } |
| 630 | |
| 631 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> |
| 632 | LayerTestResult<T, 4> Convolution2d3x3DilationTestCommon( |
| 633 | armnn::IWorkloadFactory& workloadFactory, |
| 634 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 635 | const std::vector<float>& inputNoQuantizedValues, |
| 636 | armnn::TensorInfo& inputTensorInfo, |
| 637 | const std::vector<float>& kernelNoQuantizedValues, |
| 638 | armnn::TensorInfo& kernelTensorInfo, |
| 639 | const std::vector<float>& outputExpectedNoQuantizedValues, |
| 640 | armnn::TensorInfo& outputTensorInfo, |
| 641 | uint32_t dilationX, |
| 642 | uint32_t dilationY, |
| 643 | armnn::DataLayout layout = armnn::DataLayout::NCHW, |
| 644 | bool biasEnabled = false |
| 645 | ) |
| 646 | { |
| 647 | float qScale; |
| 648 | int32_t qOffset; |
| 649 | switch (ArmnnType) |
| 650 | { |
| 651 | case armnn::DataType::QuantisedAsymm8: |
| 652 | { |
| 653 | qScale = 0.1f; |
| 654 | qOffset = 128; |
| 655 | break; |
| 656 | } |
| 657 | case armnn::DataType::QuantisedSymm16: |
| 658 | { |
| 659 | qScale = 0.1f; |
| 660 | qOffset = 0; |
| 661 | break; |
| 662 | } |
| 663 | case armnn::DataType::Float32: |
| 664 | default: |
| 665 | { |
| 666 | qScale = 0.f; |
| 667 | qOffset = 0; |
| 668 | break; |
| 669 | } |
| 670 | } |
| 671 | |
| 672 | inputTensorInfo.SetQuantizationScale(qScale); |
| 673 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 674 | kernelTensorInfo.SetQuantizationScale(qScale); |
| 675 | kernelTensorInfo.SetQuantizationOffset(qOffset); |
| 676 | outputTensorInfo.SetQuantizationScale(qScale); |
| 677 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 678 | |
| 679 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
| 680 | std::vector<T>(QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), |
| 681 | inputTensorInfo.GetQuantizationOffset(), |
| 682 | inputNoQuantizedValues))); |
| 683 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, |
| 684 | std::vector<T>(QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), |
| 685 | kernelTensorInfo.GetQuantizationOffset(), |
| 686 | kernelNoQuantizedValues))); |
| 687 | auto expectedOutput = MakeTensor<T, 4>(outputTensorInfo, |
| 688 | std::vector<T>(QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), |
| 689 | outputTensorInfo.GetQuantizationOffset(), |
| 690 | outputExpectedNoQuantizedValues))); |
| 691 | |
| 692 | uint32_t padLeft = 0; |
| 693 | uint32_t padTop = 0; |
| 694 | uint32_t padRight = 0; |
| 695 | uint32_t padBottom = 0; |
| 696 | uint32_t strideX = 1; |
| 697 | uint32_t strideY = 1; |
| 698 | |
| 699 | return SimpleConvolution2dTestImpl<ArmnnType, ArmnnBType>( |
| 700 | workloadFactory, |
| 701 | memoryManager, |
| 702 | input, |
| 703 | kernel, |
| 704 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
| 705 | expectedOutput, |
| 706 | qScale, |
| 707 | qOffset, |
| 708 | layout, |
| 709 | padLeft, |
| 710 | padTop, |
| 711 | padRight, |
| 712 | padBottom, |
| 713 | strideX, |
| 714 | strideY, |
| 715 | dilationX, |
| 716 | dilationY); |
| 717 | } |
| 718 | |
| 719 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 720 | LayerTestResult<T, 4> Convolution2d3x3Dilation3x3Test( |
| 721 | armnn::IWorkloadFactory& workloadFactory, |
| 722 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 723 | bool biasEnabled, |
| 724 | const armnn::DataLayout layout) |
| 725 | { |
| 726 | armnn::TensorInfo inputTensorInfo({1, 1, 10, 10}, ArmnnType); |
| 727 | std::vector<float> inputNoQuantizedValues = |
| 728 | { |
| 729 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 730 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 731 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 732 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 733 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 734 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 735 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 736 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 737 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 738 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 739 | }; |
| 740 | |
| 741 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 742 | std::vector<float> kernelNoQuantizedValues = |
| 743 | { |
| 744 | 1, 2, 3, |
| 745 | 4, 5, 6, |
| 746 | 7, 8, 9 |
| 747 | }; |
| 748 | |
| 749 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 750 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 751 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 752 | std::vector<float> outputExpectedNoQuantizedValues = |
| 753 | { |
| 754 | 6., 5., 5., 5., |
| 755 | 6., 5., 5., 5., |
| 756 | 6., 5., 5., 5., |
| 757 | 3., 2., 2., 2. |
| 758 | }; |
| 759 | |
| 760 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 761 | workloadFactory, |
| 762 | memoryManager, |
| 763 | inputNoQuantizedValues, |
| 764 | inputTensorInfo, |
| 765 | kernelNoQuantizedValues, |
| 766 | kernelTensorInfo, |
| 767 | outputExpectedNoQuantizedValues, |
| 768 | outputTensorInfo, |
| 769 | 3, |
| 770 | 3, |
| 771 | layout, |
| 772 | biasEnabled); |
| 773 | } |
| 774 | |
| 775 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T> |
| 776 | LayerTestResult<T, 4> Convolution2d2x3x3Dilation3x3Test( |
| 777 | armnn::IWorkloadFactory& workloadFactory, |
| 778 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 779 | bool biasEnabled, |
| 780 | const armnn::DataLayout layout) |
| 781 | { |
| 782 | armnn::TensorInfo inputTensorInfo({1, 2, 10, 10}, ArmnnType); |
| 783 | std::vector<float> inputNoQuantizedValues = |
| 784 | { |
| 785 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 786 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 787 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 788 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 789 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 790 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 791 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 792 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 793 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 794 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 795 | |
| 796 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 797 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 798 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 799 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 800 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 801 | 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 802 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 803 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 804 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 805 | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 806 | }; |
| 807 | |
| 808 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 3, 3}, ArmnnType); |
| 809 | std::vector<float> kernelNoQuantizedValues = |
| 810 | { |
| 811 | 1, 2, 3, |
| 812 | 4, 5, 6, |
| 813 | 7, 8, 9, |
| 814 | |
| 815 | 1, 2, 3, |
| 816 | 4, 5, 6, |
| 817 | 7, 8, 9 |
| 818 | }; |
| 819 | |
| 820 | // Since the dilation rate is 3 this will dilate the kernel to be like 7x7, |
| 821 | // therefore the output will be 4x4: (I−K+2P)/S +1 => (10-7 +0)/1 +1 |
| 822 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 823 | std::vector<float> outputExpectedNoQuantizedValues = |
| 824 | { |
| 825 | 12., 10., 10., 10., |
| 826 | 12., 10., 10., 10., |
| 827 | 12., 10., 10., 10., |
| 828 | 6., 4., 4., 4. |
| 829 | }; |
| 830 | |
| 831 | return Convolution2d3x3DilationTestCommon<ArmnnType, ArmnnBType>( |
| 832 | workloadFactory, |
| 833 | memoryManager, |
| 834 | inputNoQuantizedValues, |
| 835 | inputTensorInfo, |
| 836 | kernelNoQuantizedValues, |
| 837 | kernelTensorInfo, |
| 838 | outputExpectedNoQuantizedValues, |
| 839 | outputTensorInfo, |
| 840 | 3, |
| 841 | 3, |
| 842 | layout, |
| 843 | biasEnabled); |
| 844 | } |
| 845 | |
| 846 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 847 | Convolution2d3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 848 | armnn::IWorkloadFactory&, |
| 849 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 850 | bool, |
| 851 | armnn::DataLayout); |
| 852 | |
| 853 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 854 | Convolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 855 | armnn::IWorkloadFactory&, |
| 856 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 857 | bool, |
| 858 | armnn::DataLayout); |
| 859 | |
| 860 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 861 | Convolution2d3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 862 | armnn::IWorkloadFactory&, |
| 863 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 864 | bool, |
| 865 | armnn::DataLayout); |
| 866 | |
| 867 | template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| 868 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 869 | armnn::IWorkloadFactory&, |
| 870 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 871 | bool, |
| 872 | armnn::DataLayout); |
| 873 | |
| 874 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4> |
| 875 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 876 | armnn::IWorkloadFactory&, |
| 877 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 878 | bool, |
| 879 | armnn::DataLayout); |
| 880 | |
| 881 | template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4> |
| 882 | Convolution2d2x3x3Dilation3x3Test<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 883 | armnn::IWorkloadFactory&, |
| 884 | const armnn::IBackendInternal::IMemoryManagerSharedPtr&, |
| 885 | bool, |
| 886 | armnn::DataLayout); |
| 887 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 888 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 889 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 890 | LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestCommon( |
| 891 | armnn::IWorkloadFactory& workloadFactory, |
| 892 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 893 | float qScale, |
| 894 | int32_t qOffset, |
| 895 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 896 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 897 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 898 | // Use a single-batch 2-channel 5x5 image as input. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 899 | armnn::TensorInfo inputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 900 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 901 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 902 | 0, 1, 2, 3, 4, |
| 903 | 5, 6, 7, 8, 9, |
| 904 | 10, 11, 12, 13, 14, |
| 905 | 15, 16, 17, 18, 19, |
| 906 | 20, 21, 22, 23, 24, |
| 907 | |
| 908 | 25, 26, 27, 28, 29, |
| 909 | 30, 31, 32, 33, 34, |
| 910 | 35, 36, 37, 38, 39, |
| 911 | 40, 41, 42, 43, 44, |
| 912 | 45, 46, 47, 48, 49 |
| 913 | }))); |
| 914 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 915 | // Use a depth multiplier of 1 on a 2-channel 4x4 kernel. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 916 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 917 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 918 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 919 | 32, 31, 30, 29, |
| 920 | 28, 27, 26, 25, |
| 921 | 24, 23, 22, 21, |
| 922 | 20, 19, 18, 17, |
| 923 | |
| 924 | 16, 15, 14, 13, |
| 925 | 12, 11, 10, 9, |
| 926 | 8, 7, 6, 5, |
| 927 | 4, 3, 2, 1 |
| 928 | }))); |
| 929 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 930 | // Expected output is 1 batch of a 2-channel 5x5 image. |
| 931 | // Calculated using the python tensorflow library with strideX=1, strideY=1. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 932 | armnn::TensorInfo outputTensorInfo({ 1, 2, 5, 5 }, ArmnnType); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 933 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 934 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 935 | 1062, 1580, 1850, 1530, 1117, |
| 936 | 2140, 3108, 3500, 2842, 2042, |
| 937 | 3580, 5068, 5460, 4342, 3062, |
| 938 | 3618, 5072, 5390, 4248, 2971, |
| 939 | 3074, 4282, 4510, 3533, 2457, |
| 940 | 1550, 2284, 2362, 1955, 1428, |
| 941 | 2910, 4206, 4342, 3528, 2536, |
| 942 | 3390, 4886, 5022, 4068, 2916, |
| 943 | 3566, 5056, 5182, 4133, 2922, |
| 944 | 3100, 4352, 4452, 3517, 2465 |
| 945 | }))); |
| 946 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 947 | return DepthwiseConvolution2dAsymmetricTestImpl<ArmnnType, ArmnnBType>( |
| 948 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 949 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 950 | input, |
| 951 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 952 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 953 | expectedOutput, |
| 954 | qScale, |
| 955 | qOffset, |
jimfly01 | 382a91d | 2018-10-26 15:55:50 +0100 | [diff] [blame] | 956 | layout, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 957 | 1, // Padding left. |
| 958 | 1, // Padding top. |
| 959 | 2, // Padding right. |
| 960 | 2, // Padding bottom. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 961 | 1, // strideX |
| 962 | 1); // strideY |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 963 | } |
| 964 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 965 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 966 | typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 967 | LayerTestResult<T, 4> DepthwiseConvolution2dNhwcTestCommon( |
| 968 | armnn::IWorkloadFactory& workloadFactory, |
| 969 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 970 | float qScale, |
| 971 | int32_t qOffset, |
| 972 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 973 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 974 | armnn::TensorInfo inputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 975 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 976 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 977 | 0, 25, |
| 978 | 1, 26, |
| 979 | 2, 27, |
| 980 | 3, 28, |
| 981 | 4, 29, |
| 982 | |
| 983 | 5, 30, |
| 984 | 6, 31, |
| 985 | 7, 32, |
| 986 | 8, 33, |
| 987 | 9, 34, |
| 988 | |
| 989 | 10, 35, |
| 990 | 11, 36, |
| 991 | 12, 37, |
| 992 | 13, 38, |
| 993 | 14, 39, |
| 994 | |
| 995 | 15, 40, |
| 996 | 16, 41, |
| 997 | 17, 42, |
| 998 | 18, 43, |
| 999 | 19, 44, |
| 1000 | |
| 1001 | 20, 45, |
| 1002 | 21, 46, |
| 1003 | 22, 47, |
| 1004 | 23, 48, |
| 1005 | 24, 49 |
| 1006 | }))); |
| 1007 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1008 | armnn::TensorInfo kernelTensorInfo({ 1, 2, 4, 4 }, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1009 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 1010 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 1011 | 32, 31, 30, 29, |
| 1012 | 28, 27, 26, 25, |
| 1013 | 24, 23, 22, 21, |
| 1014 | 20, 19, 18, 17, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1015 | |
Matteo Martincigh | 747ef82 | 2018-12-18 09:26:39 +0000 | [diff] [blame] | 1016 | 16, 15, 14, 13, |
| 1017 | 12, 11, 10, 9, |
| 1018 | 8, 7, 6, 5, |
| 1019 | 4, 3, 2, 1 |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1020 | }))); |
| 1021 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1022 | armnn::TensorInfo outputTensorInfo({ 1, 5, 5, 2}, ArmnnType); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1023 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 1024 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 1025 | 1062, 1550, |
| 1026 | 1580, 2284, |
| 1027 | 1850, 2362, |
| 1028 | 1530, 1955, |
| 1029 | 1117, 1428, |
| 1030 | |
| 1031 | 2140, 2910, |
| 1032 | 3108, 4206, |
| 1033 | 3500, 4342, |
| 1034 | 2842, 3528, |
| 1035 | 2042, 2536, |
| 1036 | |
| 1037 | 3580, 3390, |
| 1038 | 5068, 4886, |
| 1039 | 5460, 5022, |
| 1040 | 4342, 4068, |
| 1041 | 3062, 2916, |
| 1042 | |
| 1043 | 3618, 3566, |
| 1044 | 5072, 5056, |
| 1045 | 5390, 5182, |
| 1046 | 4248, 4133, |
| 1047 | 2971, 2922, |
| 1048 | |
| 1049 | 3074, 3100, |
| 1050 | 4282, 4352, |
| 1051 | 4510, 4452, |
| 1052 | 3533, 3517, |
| 1053 | 2457, 2465 |
| 1054 | }))); |
| 1055 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1056 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 1057 | workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1058 | memoryManager, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1059 | input, |
| 1060 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1061 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1062 | expectedOutput, |
| 1063 | qScale, |
| 1064 | qOffset, |
| 1065 | 1, // Padding left. |
| 1066 | 1, // Padding top. |
| 1067 | 2, // Padding right. |
| 1068 | 2, // Padding bottom. |
| 1069 | 1, // strideX |
| 1070 | 1); // strideY |
| 1071 | } |
| 1072 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1073 | template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, |
| 1074 | typename T = armnn::ResolveType<ArmnnType>> |
| 1075 | LayerTestResult<T, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon( |
| 1076 | armnn::IWorkloadFactory& workloadFactory, |
| 1077 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1078 | float qScale, |
| 1079 | int32_t qOffset, |
| 1080 | bool biasEnabled) |
| 1081 | { |
| 1082 | armnn::TensorInfo inputTensorInfo({ 1, 9, 9, 1}, ArmnnType); |
| 1083 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 1084 | QuantizedVector<T>(inputTensorInfo.GetQuantizationScale(), inputTensorInfo.GetQuantizationOffset(), { |
| 1085 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1086 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1087 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1088 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1089 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1090 | 0, 0, 0, 1, 1, 1, 0, 0, 0, |
| 1091 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1092 | 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 1093 | 0, 0, 0, 0, 0, 0, 0, 0, 0 |
| 1094 | }))); |
| 1095 | |
| 1096 | armnn::TensorInfo kernelTensorInfo({ 1, 1, 3, 3}, ArmnnType); |
| 1097 | auto kernel = MakeTensor<T, 4>(kernelTensorInfo, std::vector<T>( |
| 1098 | QuantizedVector<T>(kernelTensorInfo.GetQuantizationScale(), kernelTensorInfo.GetQuantizationOffset(), { |
| 1099 | 1, 2, 3, |
| 1100 | 4, 5, 6, |
| 1101 | 7, 8, 9 |
| 1102 | }))); |
| 1103 | |
| 1104 | uint32_t padLeft = 0; |
| 1105 | uint32_t padTop = 0; |
| 1106 | uint32_t padRight = 0; |
| 1107 | uint32_t padBottom = 0; |
| 1108 | uint32_t strideX = 1; |
| 1109 | uint32_t strideY = 1; |
| 1110 | uint32_t dilationX = 3; |
| 1111 | uint32_t dilationY = 3; |
| 1112 | |
| 1113 | // Since the dilation rate is 3 this will reduce the size of the output from 9x9 to 3x3 of all 5s. |
| 1114 | armnn::TensorInfo outputTensorInfo({ 1, 3, 3, 1}, ArmnnType); |
| 1115 | boost::multi_array<T, 4> expectedOutput = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>( |
| 1116 | QuantizedVector<T>(outputTensorInfo.GetQuantizationScale(), outputTensorInfo.GetQuantizationOffset(), { |
| 1117 | 5, 5, 5, |
| 1118 | 5, 5, 5, |
| 1119 | 5, 5, 5 |
| 1120 | }))); |
| 1121 | |
| 1122 | return DepthwiseConvolution2dNhwcTestImpl<ArmnnType, ArmnnBType>( |
| 1123 | workloadFactory, |
| 1124 | memoryManager, |
| 1125 | input, |
| 1126 | kernel, |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 1127 | GetBias2<ArmnnBType>(biasEnabled, qScale * qScale), |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1128 | expectedOutput, |
| 1129 | qScale, |
| 1130 | qOffset, |
| 1131 | padLeft, |
| 1132 | padTop, |
| 1133 | padRight, |
| 1134 | padBottom, |
| 1135 | strideX, |
| 1136 | strideY, |
| 1137 | dilationX, |
| 1138 | dilationY); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1139 | } |
| 1140 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1141 | LayerTestResult<float, 4> DepthwiseConvolution2dTest( |
| 1142 | armnn::IWorkloadFactory& workloadFactory, |
| 1143 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1144 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1145 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1146 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1147 | return DepthwiseConvolution2dTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1148 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1149 | } |
| 1150 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1151 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest( |
| 1152 | armnn::IWorkloadFactory& workloadFactory, |
| 1153 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1154 | bool biasEnabled) |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1155 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1156 | return DepthwiseConvolution2dNhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1157 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 1158 | } |
| 1159 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1160 | LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test( |
| 1161 | armnn::IWorkloadFactory& workloadFactory, |
| 1162 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1163 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1164 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1165 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1166 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1167 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1168 | } |
| 1169 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1170 | LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest( |
| 1171 | armnn::IWorkloadFactory& workloadFactory, |
| 1172 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1173 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1174 | const armnn::DataLayout layout) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1175 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1176 | return DepthwiseConvolution2dAsymmetricTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1177 | workloadFactory, memoryManager, 0.0f, 0, biasEnabled, layout); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1178 | } |
| 1179 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1180 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( |
| 1181 | armnn::IWorkloadFactory& workloadFactory, |
| 1182 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1183 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1184 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1185 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1186 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1187 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1188 | } |
| 1189 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1190 | LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test( |
| 1191 | armnn::IWorkloadFactory& workloadFactory, |
| 1192 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1193 | bool biasEnabled, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1194 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1195 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1196 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1197 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1198 | } |
| 1199 | |
Bruno Goncalves | 22972f0 | 2019-04-26 21:03:24 -0300 | [diff] [blame] | 1200 | LayerTestResult<float, 4> SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTest( |
| 1201 | armnn::IWorkloadFactory& workloadFactory, |
| 1202 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1203 | { |
| 1204 | return SimpleDepthwiseConvolution2d3x3Dilation3x3NhwcTestCommon<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 1205 | workloadFactory, |
| 1206 | memoryManager, |
| 1207 | 0.f, |
| 1208 | 0, |
| 1209 | false); |
| 1210 | } |
| 1211 | |
Ruomei Yan | 88d44b8 | 2019-05-23 14:29:06 +0100 | [diff] [blame] | 1212 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dInt16Test( |
| 1213 | armnn::IWorkloadFactory& workloadFactory, |
| 1214 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1215 | bool biasEnabled, |
| 1216 | const armnn::DataLayout layout) |
| 1217 | { |
| 1218 | return DepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1219 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 1220 | } |
| 1221 | |
| 1222 | LayerTestResult<int16_t, 4> DepthwiseConvolution2dDepthMul1Int16Test( |
| 1223 | armnn::IWorkloadFactory& workloadFactory, |
| 1224 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1225 | bool biasEnabled, |
| 1226 | const armnn::DataLayout layout) |
| 1227 | { |
| 1228 | return DepthwiseConvolution2dDepthMul1TestImpl<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 1229 | workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); |
| 1230 | } |
| 1231 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1232 | LayerTestResult<float, 4> CompareDepthwiseConvolution2dFloatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1233 | armnn::IWorkloadFactory& workloadFactory, |
| 1234 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1235 | armnn::IWorkloadFactory& refWorkloadFactory, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 1236 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1237 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1238 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::Float32>( |
| 1239 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1240 | } |
| 1241 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1242 | LayerTestResult<uint8_t, 4> CompareDepthwiseConvolution2dUint8Test( |
| 1243 | armnn::IWorkloadFactory& workloadFactory, |
| 1244 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1245 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1246 | const armnn::DataLayout layout) |
| 1247 | { |
| 1248 | return CompareDepthwiseConvolution2dTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1249 | workloadFactory, memoryManager, refWorkloadFactory, layout); |
| 1250 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1251 | |
| 1252 | LayerTestResult<float,4> SimpleNormalizationAcrossTest( |
| 1253 | armnn::IWorkloadFactory& workloadFactory, |
| 1254 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1255 | { |
| 1256 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1257 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1258 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1259 | } |
| 1260 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1261 | LayerTestResult<float,4> SimpleNormalizationWithinTest( |
| 1262 | armnn::IWorkloadFactory& workloadFactory, |
| 1263 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1264 | { |
| 1265 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1266 | auto normChannel = armnn::NormalizationAlgorithmChannel::Within; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1267 | return SimpleNormalizationTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1268 | } |
| 1269 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1270 | LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest( |
| 1271 | armnn::IWorkloadFactory& workloadFactory, |
| 1272 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1273 | { |
| 1274 | auto normMethod = armnn::NormalizationAlgorithmMethod::LocalBrightness; |
| 1275 | auto normChannel = armnn::NormalizationAlgorithmChannel::Across; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1276 | return SimpleNormalizationNhwcTestImpl(workloadFactory, memoryManager, normChannel, normMethod); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 1277 | } |
| 1278 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1279 | LayerTestResult<float,2> SimpleSoftmaxTest( |
| 1280 | armnn::IWorkloadFactory& workloadFactory, |
| 1281 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1282 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1283 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1284 | return SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1285 | } |
| 1286 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1287 | LayerTestResult<float,3> Simple3dSoftmaxTest( |
| 1288 | armnn::IWorkloadFactory& workloadFactory, |
| 1289 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1290 | float beta) |
| 1291 | { |
| 1292 | return Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1293 | } |
| 1294 | |
| 1295 | LayerTestResult<float,4> Simple4dSoftmaxTest( |
| 1296 | armnn::IWorkloadFactory& workloadFactory, |
| 1297 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1298 | float beta) |
| 1299 | { |
| 1300 | return Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta); |
| 1301 | } |
| 1302 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1303 | LayerTestResult<uint8_t,2> SimpleSoftmaxUint8Test( |
| 1304 | armnn::IWorkloadFactory& workloadFactory, |
| 1305 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1306 | float beta) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1307 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1308 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1309 | } |
| 1310 | |
Narumol Prangnawarat | 65d3096 | 2019-03-14 11:55:03 +0000 | [diff] [blame] | 1311 | LayerTestResult<uint8_t,3> Simple3dSoftmaxUint8Test( |
| 1312 | armnn::IWorkloadFactory& workloadFactory, |
| 1313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1314 | float beta) |
| 1315 | { |
| 1316 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1317 | } |
| 1318 | |
| 1319 | LayerTestResult<uint8_t,4> Simple4dSoftmaxUint8Test( |
| 1320 | armnn::IWorkloadFactory& workloadFactory, |
| 1321 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1322 | float beta) |
| 1323 | { |
| 1324 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, beta); |
| 1325 | } |
| 1326 | |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame] | 1327 | LayerTestResult<int16_t,2> SimpleSoftmaxUint16Test( |
| 1328 | armnn::IWorkloadFactory& workloadFactory, |
| 1329 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1330 | float beta) |
| 1331 | { |
| 1332 | return SimpleSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1333 | } |
| 1334 | |
| 1335 | LayerTestResult<int16_t,3> Simple3dSoftmaxUint16Test( |
| 1336 | armnn::IWorkloadFactory& workloadFactory, |
| 1337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1338 | float beta) |
| 1339 | { |
| 1340 | return Simple3dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1341 | } |
| 1342 | |
| 1343 | LayerTestResult<int16_t,4> Simple4dSoftmaxUint16Test( |
| 1344 | armnn::IWorkloadFactory& workloadFactory, |
| 1345 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1346 | float beta) |
| 1347 | { |
| 1348 | return Simple4dSoftmaxTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, beta); |
| 1349 | } |
| 1350 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1351 | LayerTestResult<float,4> CompareNormalizationTest( |
| 1352 | armnn::IWorkloadFactory& workloadFactory, |
| 1353 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1354 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1355 | armnn::NormalizationAlgorithmChannel normChannel, |
| 1356 | armnn::NormalizationAlgorithmMethod normMethod) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1357 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1358 | return CompareNormalizationTestImpl(workloadFactory, memoryManager, refWorkloadFactory, normChannel, normMethod); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1359 | } |
| 1360 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1361 | LayerTestResult<float,2> CompareSoftmaxTest( |
| 1362 | armnn::IWorkloadFactory& workloadFactory, |
| 1363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1364 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1365 | float beta) |
| 1366 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1367 | return CompareSoftmaxTestImpl<armnn::DataType::Float32>( |
| 1368 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1369 | } |
| 1370 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1371 | LayerTestResult<uint8_t,2> CompareSoftmaxUint8Test( |
| 1372 | armnn::IWorkloadFactory& workloadFactory, |
| 1373 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1374 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1375 | float beta) |
| 1376 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1377 | return CompareSoftmaxTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1378 | workloadFactory, memoryManager, refWorkloadFactory, beta); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1379 | } |
| 1380 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1381 | std::vector<LayerTestResult<float,3>> SplitterTest( |
| 1382 | armnn::IWorkloadFactory& workloadFactory, |
| 1383 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1384 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1385 | return SplitterTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1386 | } |
| 1387 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1388 | std::vector<LayerTestResult<uint8_t,3>> SplitterUint8Test( |
| 1389 | armnn::IWorkloadFactory& workloadFactory, |
| 1390 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1391 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1392 | return SplitterTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1393 | } |
| 1394 | |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 1395 | std::vector<LayerTestResult<int16_t,3>> SplitterInt16Test( |
| 1396 | armnn::IWorkloadFactory& workloadFactory, |
| 1397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1398 | { |
| 1399 | return SplitterTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 1400 | } |
| 1401 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1402 | LayerTestResult<float, 3> CopyViaSplitterTest( |
| 1403 | armnn::IWorkloadFactory& workloadFactory, |
| 1404 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1405 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1406 | return CopyViaSplitterTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1407 | } |
| 1408 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1409 | LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test( |
| 1410 | armnn::IWorkloadFactory& workloadFactory, |
| 1411 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1412 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1413 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1414 | } |
| 1415 | |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 1416 | LayerTestResult<int16_t, 3> CopyViaSplitterInt16Test( |
| 1417 | armnn::IWorkloadFactory& workloadFactory, |
| 1418 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1419 | { |
| 1420 | return CopyViaSplitterTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 1421 | } |
| 1422 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1423 | LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1424 | armnn::IWorkloadFactory& workloadFactory, |
| 1425 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1426 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1427 | armnn::TensorInfo inputDesc({ 2, 2 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1428 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1429 | { 2., 3., 3., 4. })); |
| 1430 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1431 | armnn::TensorInfo outputDesc({ 2, 4 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1432 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1433 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1434 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1435 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1436 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1437 | } |
| 1438 | |
| 1439 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest( |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1440 | armnn::IWorkloadFactory& workloadFactory, |
| 1441 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1442 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1443 | armnn::TensorInfo inputDesc({ 2, 5 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1444 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1445 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1446 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f})); |
| 1447 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1448 | armnn::TensorInfo outputDesc({ 2, 16 }, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1449 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1450 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1451 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1452 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1453 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1454 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1455 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, |
| 1456 | 0.02168f})); |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1457 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>( |
| 1458 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1459 | } |
| 1460 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1461 | LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest( |
| 1462 | armnn::IWorkloadFactory& workloadFactory, |
| 1463 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1464 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1465 | armnn::TensorInfo inputDesc({2, 2}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1466 | boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>( |
| 1467 | {2., 3., 3., 4.})); |
| 1468 | |
| 1469 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1470 | armnn::TensorInfo outputDesc({2, 4}, armnn::DataType::Float32); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1471 | boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>( |
| 1472 | {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1473 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}})); |
| 1474 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1475 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1476 | workloadFactory, memoryManager, input, expectedOutput); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1477 | } |
| 1478 | |
Conor Kennedy | b9971c9 | 2019-05-07 07:14:23 +0100 | [diff] [blame] | 1479 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionTest( |
| 1480 | armnn::IWorkloadFactory& workloadFactory, |
| 1481 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1482 | { |
| 1483 | const float qScale = 1.0f; |
| 1484 | const int32_t qOffset = 0; |
| 1485 | |
| 1486 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1487 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1488 | |
| 1489 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1490 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1491 | std::vector<float>{2., 3., 3., 4.})); |
| 1492 | |
| 1493 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1494 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1495 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1496 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1497 | |
| 1498 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1499 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1500 | |
| 1501 | } |
| 1502 | |
| 1503 | LayerTestResult<int16_t, 2> LstmLayerInt16WithCifgWithPeepholeNoProjectionTest( |
| 1504 | armnn::IWorkloadFactory& workloadFactory, |
| 1505 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1506 | { |
| 1507 | const float qScale = 1.0f; |
| 1508 | const int32_t qOffset = 0; |
| 1509 | |
| 1510 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1511 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1512 | |
| 1513 | armnn::TensorInfo inputDesc({ 2, 2 }, datatype); |
| 1514 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, qOffset, |
| 1515 | std::vector<float>({ 2., 3., 3., 4. }))); |
| 1516 | |
| 1517 | armnn::TensorInfo outputDesc({ 2, 4 }, datatype); |
| 1518 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1519 | qOffset, std::vector<float>( |
| 1520 | {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f, |
| 1521 | -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}))); |
| 1522 | |
| 1523 | return LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>( |
| 1524 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1525 | } |
| 1526 | |
| 1527 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgWithPeepholeWithProjectionTest( |
| 1528 | armnn::IWorkloadFactory& workloadFactory, |
| 1529 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1530 | { |
| 1531 | const float qScale = 2.0f; |
| 1532 | const int32_t qOffset = 0; |
| 1533 | |
| 1534 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; |
| 1535 | const armnn::DataType constantDatatype = armnn::DataType::QuantisedAsymm8; |
| 1536 | |
| 1537 | armnn::TensorInfo inputDesc({ 2, 5 }, datatype); |
| 1538 | boost::multi_array<int16_t, 2> input = MakeTensor<int16_t, 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1539 | qOffset, std::vector<float>( |
| 1540 | {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f, |
| 1541 | 0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}))); |
| 1542 | |
| 1543 | armnn::TensorInfo outputDesc({ 2, 16 }, datatype); |
| 1544 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1545 | qOffset, std::vector<float>( |
| 1546 | {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f, |
| 1547 | -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f, |
| 1548 | -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f, |
| 1549 | 0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f, |
| 1550 | -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f, |
| 1551 | 0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f, 0.02168f}))); |
| 1552 | |
| 1553 | return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>( |
| 1554 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype); |
| 1555 | } |
| 1556 | |
| 1557 | LayerTestResult<int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest( |
| 1558 | armnn::IWorkloadFactory& workloadFactory, |
| 1559 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1560 | { |
| 1561 | const float qScale = 1.0f; |
| 1562 | const int32_t qOffset = 0; |
| 1563 | |
| 1564 | const armnn::DataType datatype = armnn::DataType::QuantisedSymm16; // datatype & constants set to QSymm16 |
| 1565 | |
| 1566 | armnn::TensorInfo inputDesc({2, 2}, datatype); |
| 1567 | boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(inputDesc, QuantizedVector<int16_t>(qScale, |
| 1568 | qOffset, std::vector<float>{2., 3., 3., 4.})); |
| 1569 | |
| 1570 | armnn::TensorInfo outputDesc({2, 4}, datatype); |
| 1571 | boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(outputDesc, QuantizedVector<int16_t>(qScale, |
| 1572 | qOffset, std::vector<float>({{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f, |
| 1573 | -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}))); |
| 1574 | |
| 1575 | return LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>( |
| 1576 | workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype); |
| 1577 | } |
| 1578 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 1579 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1580 | armnn::IWorkloadFactory& workloadFactory, |
| 1581 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1582 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1583 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1584 | unsigned int outputHeight = 6; |
| 1585 | unsigned int outputChannels = 3; |
| 1586 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1587 | unsigned int inputWidth1 = 3; |
| 1588 | unsigned int inputHeight1 = 6; |
| 1589 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1590 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1591 | unsigned int inputWidth2 = 3; |
| 1592 | unsigned int inputHeight2 = 6; |
| 1593 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1594 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1595 | // Define the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1596 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::Float32); |
| 1597 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::Float32); |
| 1598 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::Float32); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1599 | |
| 1600 | LayerTestResult<float,3> ret(outputTensorInfo); |
| 1601 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1602 | ret.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1603 | { |
| 1604 | 1.0f, 2.0f, 3.0f, |
| 1605 | 4.0f, 5.0f, 6.0f, |
| 1606 | 7.0f, 8.0f, 9.0f, |
| 1607 | 10.0f, 11.0f, 12.0f, |
| 1608 | 13.0f, 14.0f, 15.0f, |
| 1609 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1610 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1611 | 19.0f, 20.0f, 21.0f, |
| 1612 | 22.0f, 23.0f, 24.0f, |
| 1613 | 25.0f, 26.0f, 27.0f, |
| 1614 | 28.0f, 29.0f, 30.0f, |
| 1615 | 31.0f, 32.0f, 33.0f, |
| 1616 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1617 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1618 | 37.0f, 38.0f, 39.0f, |
| 1619 | 40.0f, 41.0f, 42.0f, |
| 1620 | 43.0f, 44.0f, 45.0f, |
| 1621 | 46.0f, 47.0f, 48.0f, |
| 1622 | 49.0f, 50.0f, 51.0f, |
| 1623 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1624 | }) |
| 1625 | ); |
| 1626 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1627 | auto input1 = MakeTensor<float, 3>(inputTensorInfo1, std::vector<float>( |
| 1628 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1629 | 1.0f, 2.0f, 3.0f, |
| 1630 | 4.0f, 5.0f, 6.0f, |
| 1631 | 7.0f, 8.0f, 9.0f, |
| 1632 | 10.0f, 11.0f, 12.0f, |
| 1633 | 13.0f, 14.0f, 15.0f, |
| 1634 | 16.0f, 17.0f, 18.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1635 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1636 | 19.0f, 20.0f, 21.0f, |
| 1637 | 22.0f, 23.0f, 24.0f, |
| 1638 | 25.0f, 26.0f, 27.0f, |
| 1639 | 28.0f, 29.0f, 30.0f, |
| 1640 | 31.0f, 32.0f, 33.0f, |
| 1641 | 34.0f, 35.0f, 36.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1642 | }) |
| 1643 | ); |
| 1644 | |
| 1645 | auto input2 = MakeTensor<float, 3>(inputTensorInfo2, std::vector<float>( |
| 1646 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1647 | 37.0f, 38.0f, 39.0f, |
| 1648 | 40.0f, 41.0f, 42.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1649 | 43.0f, 44.0f, 45.0f, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1650 | 46.0f, 47.0f, 48.0f, |
| 1651 | 49.0f, 50.0f, 51.0f, |
| 1652 | 52.0f, 53.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1653 | }) |
| 1654 | ); |
| 1655 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1656 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1657 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1658 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1659 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1660 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1661 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1662 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1663 | |
| 1664 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 1665 | |
| 1666 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 1667 | subTensorsSupported ? |
| 1668 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 1669 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1670 | |
| 1671 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 1672 | subTensorsSupported ? |
| 1673 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 1674 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1675 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1676 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1677 | armnn::WorkloadInfo info; |
| 1678 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1679 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1680 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1681 | |
| 1682 | data.m_ViewOrigins.push_back(window1); |
| 1683 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1684 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 1685 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1686 | |
| 1687 | inputHandle1->Allocate(); |
| 1688 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1689 | outputHandle->Allocate(); |
| 1690 | |
| 1691 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 1692 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1693 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1694 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1695 | workload->Execute(); |
| 1696 | |
| 1697 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 1698 | |
| 1699 | return ret; |
| 1700 | } |
| 1701 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1702 | LayerTestResult<float,4> AdditionTest( |
| 1703 | armnn::IWorkloadFactory& workloadFactory, |
| 1704 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1705 | { |
| 1706 | unsigned int batchSize = 2; |
| 1707 | unsigned int channels = 2; |
| 1708 | unsigned int height = 2; |
| 1709 | unsigned int width = 3; |
| 1710 | |
| 1711 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 1712 | armnn::TensorInfo outputTensorInfo; |
| 1713 | |
| 1714 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1715 | |
| 1716 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1717 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1718 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 1719 | |
| 1720 | |
| 1721 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, std::vector<float>( |
| 1722 | { |
| 1723 | 0.0f, 2.0f, 1.0f, |
| 1724 | 0.2f, 1.0f, 2.0f, |
| 1725 | |
| 1726 | 1.0f, 2.0f, 1.0f, |
| 1727 | 0.2f, 1.0f, 2.0f, |
| 1728 | |
| 1729 | 0.0f, 2.0f, 1.0f, |
| 1730 | 4.2f, 1.0f, 2.0f, |
| 1731 | |
| 1732 | 0.0f, 0.0f, 1.0f, |
| 1733 | 0.2f, 1.0f, 2.0f, |
| 1734 | })); |
| 1735 | |
| 1736 | auto input2 = MakeTensor<float, 4>(inputTensorInfo2, std::vector<float>( |
| 1737 | { |
| 1738 | 1.0f, 2.0f, 1.0f, |
| 1739 | 0.0f, 1.0f, 2.0f, |
| 1740 | |
| 1741 | 1.0f, 2.0f, -2.0f, |
| 1742 | 0.2f, 1.0f, 2.0f, |
| 1743 | |
| 1744 | 0.0f, 2.0f, 1.0f, |
| 1745 | 4.2f, 0.0f, -3.0f, |
| 1746 | |
| 1747 | 0.0f, 0.0f, 1.0f, |
| 1748 | 0.7f, 1.0f, 5.0f, |
| 1749 | })); |
| 1750 | |
| 1751 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 1752 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, std::vector<float>( |
| 1753 | { |
| 1754 | 1.0f, 4.0f, 2.0f, |
| 1755 | 0.2f, 2.0f, 4.0f, |
| 1756 | |
| 1757 | 2.0f, 4.0f, -1.0f, |
| 1758 | 0.4f, 2.0f, 4.0f, |
| 1759 | |
| 1760 | 0.0f, 4.0f, 2.0f, |
| 1761 | 8.4f, 1.0f, -1.0f, |
| 1762 | |
| 1763 | 0.0f, 0.0f, 2.0f, |
| 1764 | 0.9f, 2.0f, 7.0f, |
| 1765 | })); |
| 1766 | |
| 1767 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1768 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1769 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1770 | |
| 1771 | armnn::AdditionQueueDescriptor data; |
| 1772 | armnn::WorkloadInfo info; |
| 1773 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1774 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1775 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1776 | |
| 1777 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1778 | |
| 1779 | inputHandle1->Allocate(); |
| 1780 | inputHandle2->Allocate(); |
| 1781 | outputHandle->Allocate(); |
| 1782 | |
| 1783 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1784 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1785 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1786 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1787 | workload->Execute(); |
| 1788 | |
| 1789 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1790 | |
| 1791 | return ret; |
| 1792 | } |
| 1793 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1794 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1795 | LayerTestResult<T, 4> AdditionBroadcastTestImpl( |
| 1796 | armnn::IWorkloadFactory& workloadFactory, |
| 1797 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1798 | float qScale, |
| 1799 | int32_t qOffset) |
| 1800 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1801 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 1}, ArmnnType); |
| 1802 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 2, 3}, ArmnnType); |
| 1803 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1804 | |
| 1805 | if (armnn::IsQuantizedType<T>()) |
| 1806 | { |
| 1807 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1808 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1809 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1810 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1811 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1812 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1813 | } |
| 1814 | |
| 1815 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1816 | { |
| 1817 | 0.0f, |
| 1818 | 1.0f, |
| 1819 | |
| 1820 | 2.0f, |
| 1821 | 3.0f, |
| 1822 | |
| 1823 | 4.0f, |
| 1824 | 5.0f, |
| 1825 | })); |
| 1826 | |
| 1827 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1828 | { |
| 1829 | 0.5f, 1.5f, 2.5f, |
| 1830 | 3.5f, 4.5f, 5.5f, |
| 1831 | })); |
| 1832 | |
| 1833 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1834 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1835 | { |
| 1836 | 0.5f, 1.5f, 2.5f, |
| 1837 | 4.5f, 5.5f, 6.5f, |
| 1838 | |
| 1839 | 2.5f, 3.5f, 4.5f, |
| 1840 | 6.5f, 7.5f, 8.5f, |
| 1841 | |
| 1842 | 4.5f, 5.5f, 6.5f, |
| 1843 | 8.5f, 9.5f, 10.5f, |
| 1844 | })); |
| 1845 | |
| 1846 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1847 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1848 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1849 | |
| 1850 | armnn::AdditionQueueDescriptor data; |
| 1851 | armnn::WorkloadInfo info; |
| 1852 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1853 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1854 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1855 | |
| 1856 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1857 | |
| 1858 | inputHandle1->Allocate(); |
| 1859 | inputHandle2->Allocate(); |
| 1860 | outputHandle->Allocate(); |
| 1861 | |
| 1862 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1863 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1864 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1865 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1866 | workload->Execute(); |
| 1867 | |
| 1868 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1869 | |
| 1870 | return ret; |
| 1871 | } |
| 1872 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1873 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1874 | LayerTestResult<T, 4> AdditionBroadcast1ElementTestImpl( |
| 1875 | armnn::IWorkloadFactory& workloadFactory, |
| 1876 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1877 | float qScale, |
| 1878 | int32_t qOffset) |
| 1879 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1880 | armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
| 1881 | armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({1, 1, 1, 1}, ArmnnType); |
| 1882 | armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 3}, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1883 | |
| 1884 | if (armnn::IsQuantizedType<T>()) |
| 1885 | { |
| 1886 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 1887 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
| 1888 | inputTensorInfo2.SetQuantizationScale(qScale); |
| 1889 | inputTensorInfo2.SetQuantizationOffset(qOffset); |
| 1890 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1891 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1892 | } |
| 1893 | |
| 1894 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, |
| 1895 | { |
| 1896 | 0.0f, 1.0f, 2.0f, |
| 1897 | 3.0f, 4.0f, 5.0f, |
| 1898 | 6.0f, 7.0f, 8.0f, |
| 1899 | 9.0f, 10.0f, 11.0f, |
| 1900 | 12.0f, 13.0f, 14.0f, |
| 1901 | 15.0f, 16.0f, 17.0f, |
| 1902 | })); |
| 1903 | |
| 1904 | auto input2 = MakeTensor<T, 4>(inputTensorInfo2, QuantizedVector<T>(qScale, qOffset, |
| 1905 | { |
| 1906 | 0.5f, |
| 1907 | })); |
| 1908 | |
| 1909 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1910 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, |
| 1911 | { |
| 1912 | 0.5f, 1.5f, 2.5f, |
| 1913 | 3.5f, 4.5f, 5.5f, |
| 1914 | 6.5f, 7.5f, 8.5f, |
| 1915 | 9.5f, 10.5f, 11.5f, |
| 1916 | 12.5f, 13.5f, 14.5f, |
| 1917 | 15.5f, 16.5f, 17.5f, |
| 1918 | })); |
| 1919 | |
| 1920 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 1921 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 1922 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1923 | |
| 1924 | armnn::AdditionQueueDescriptor data; |
| 1925 | armnn::WorkloadInfo info; |
| 1926 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 1927 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 1928 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1929 | |
| 1930 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 1931 | |
| 1932 | inputHandle1->Allocate(); |
| 1933 | inputHandle2->Allocate(); |
| 1934 | outputHandle->Allocate(); |
| 1935 | |
| 1936 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 1937 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 1938 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 1939 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1940 | workload->Execute(); |
| 1941 | |
| 1942 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1943 | |
| 1944 | return ret; |
| 1945 | } |
| 1946 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1947 | LayerTestResult<float, 4> AdditionBroadcastTest( |
| 1948 | armnn::IWorkloadFactory& workloadFactory, |
| 1949 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1950 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1951 | return AdditionBroadcastTestImpl<armnn::DataType::Float32>( |
| 1952 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1953 | } |
| 1954 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1955 | LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test( |
| 1956 | armnn::IWorkloadFactory& workloadFactory, |
| 1957 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1958 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1959 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1960 | workloadFactory, memoryManager, 2.f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1961 | } |
| 1962 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1963 | LayerTestResult<int16_t, 4> AdditionBroadcastInt16Test( |
| 1964 | armnn::IWorkloadFactory& workloadFactory, |
| 1965 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1966 | { |
| 1967 | return AdditionBroadcastTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1968 | workloadFactory, memoryManager, 2.f, 0); |
| 1969 | } |
| 1970 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1971 | LayerTestResult<float, 4> AdditionBroadcast1ElementTest( |
| 1972 | armnn::IWorkloadFactory& workloadFactory, |
| 1973 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1974 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1975 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::Float32>( |
| 1976 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1977 | } |
| 1978 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1979 | LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test( |
| 1980 | armnn::IWorkloadFactory& workloadFactory, |
| 1981 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1982 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1983 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 1984 | workloadFactory, memoryManager, 0.1333333f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1985 | } |
| 1986 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 1987 | LayerTestResult<int16_t, 4> AdditionBroadcast1ElementInt16Test( |
| 1988 | armnn::IWorkloadFactory& workloadFactory, |
| 1989 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1990 | { |
| 1991 | return AdditionBroadcast1ElementTestImpl<armnn::DataType::QuantisedSymm16>( |
| 1992 | workloadFactory, memoryManager, 0.1333333f, 0); |
| 1993 | } |
| 1994 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1995 | LayerTestResult<float,4> CompareAdditionTest( |
| 1996 | armnn::IWorkloadFactory& workloadFactory, |
| 1997 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1998 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1999 | { |
| 2000 | unsigned int batchSize = 4; |
| 2001 | unsigned int channels = 1; |
| 2002 | unsigned int height = 2; |
| 2003 | unsigned int width = 3; |
| 2004 | |
| 2005 | armnn::TensorInfo inputTensorInfo1, inputTensorInfo2; |
| 2006 | armnn::TensorInfo outputTensorInfo; |
| 2007 | |
| 2008 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 2009 | |
| 2010 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2011 | inputTensorInfo2 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2012 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 2013 | |
| 2014 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 1232); |
| 2015 | auto input2 = MakeRandomTensor<float, 4>(inputTensorInfo2, 456); |
| 2016 | |
| 2017 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 2018 | |
| 2019 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2020 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2021 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2022 | |
| 2023 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2024 | std::unique_ptr<armnn::ITensorHandle> inputHandle2Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 2025 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2026 | |
| 2027 | armnn::AdditionQueueDescriptor data; |
| 2028 | armnn::WorkloadInfo info; |
| 2029 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2030 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2031 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2032 | |
| 2033 | armnn::AdditionQueueDescriptor refData = data; |
| 2034 | armnn::WorkloadInfo refInfo = info; |
| 2035 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get()); |
| 2036 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get()); |
| 2037 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 2038 | |
| 2039 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 2040 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateAddition(refData, refInfo); |
| 2041 | |
| 2042 | inputHandle1->Allocate(); |
| 2043 | inputHandle2->Allocate(); |
| 2044 | outputHandle->Allocate(); |
| 2045 | inputHandle1Ref->Allocate(); |
| 2046 | inputHandle2Ref->Allocate(); |
| 2047 | outputHandleRef->Allocate(); |
| 2048 | |
| 2049 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2050 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0][0]); |
| 2051 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 2052 | CopyDataToITensorHandle(inputHandle2Ref.get(), &input2[0][0][0][0]); |
| 2053 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2054 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2055 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2056 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 2057 | workloadRef->Execute(); |
| 2058 | |
| 2059 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2060 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 2061 | |
| 2062 | return ret; |
| 2063 | } |
| 2064 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 2065 | namespace { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2066 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2067 | LayerTestResult<T, 4> DivisionTestHelper( |
| 2068 | armnn::IWorkloadFactory& workloadFactory, |
| 2069 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2070 | const unsigned int shape0[4], |
| 2071 | const std::vector<T>& values0, |
| 2072 | float scale0, |
| 2073 | int32_t offset0, |
| 2074 | const unsigned int shape1[4], |
| 2075 | const std::vector<T> & values1, |
| 2076 | float scale1, |
| 2077 | int32_t offset1, |
| 2078 | const unsigned int outShape[4], |
| 2079 | const std::vector<T> & outValues, |
| 2080 | float outScale, |
| 2081 | int32_t outOffset) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2082 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2083 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 2084 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 2085 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2086 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2087 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 2088 | inputTensorInfo0.SetQuantizationOffset(offset0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2089 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2090 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 2091 | inputTensorInfo1.SetQuantizationOffset(offset1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2092 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2093 | outputTensorInfo.SetQuantizationScale(outScale); |
| 2094 | outputTensorInfo.SetQuantizationOffset(outOffset); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2095 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2096 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 2097 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2098 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2099 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 2100 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2101 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2102 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2103 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2104 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2105 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2106 | armnn::DivisionQueueDescriptor data; |
| 2107 | armnn::WorkloadInfo info; |
| 2108 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2109 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2110 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2111 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2112 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDivision(data, info); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2113 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2114 | inputHandle0->Allocate(); |
| 2115 | inputHandle1->Allocate(); |
| 2116 | outputHandle->Allocate(); |
| 2117 | |
| 2118 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2119 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2120 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2121 | workload->PostAllocationConfigure(); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2122 | workload->Execute(); |
| 2123 | |
| 2124 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 2125 | |
| 2126 | return result; |
| 2127 | } |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2128 | } // anonymous namespace |
| 2129 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2130 | LayerTestResult<float,4> DivisionByZeroTest( |
| 2131 | armnn::IWorkloadFactory& workloadFactory, |
| 2132 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2133 | { |
| 2134 | const unsigned int width = 2; |
| 2135 | const unsigned int height = 2; |
| 2136 | const unsigned int channelCount = 2; |
| 2137 | const unsigned int batchSize = 2; |
| 2138 | |
| 2139 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2140 | |
| 2141 | std::vector<float> input0({ |
| 2142 | 1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f, |
| 2143 | -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f }); |
| 2144 | |
| 2145 | std::vector<float> input1({ |
| 2146 | 0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f, |
| 2147 | 0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f }); |
| 2148 | |
| 2149 | std::vector<float> output({ |
| 2150 | INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN, |
| 2151 | -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1 }); |
| 2152 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2153 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2154 | memoryManager, |
| 2155 | shape, input0, 1.0f, 0, |
| 2156 | shape, input1, 1.0f, 0, |
| 2157 | shape, output, 1.0f, 0); |
Francis Murtagh | 8c5e3dc | 2018-08-30 17:18:37 +0100 | [diff] [blame] | 2158 | } |
| 2159 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2160 | LayerTestResult<float,4> DivisionTest( |
| 2161 | armnn::IWorkloadFactory& workloadFactory, |
| 2162 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2163 | { |
| 2164 | const unsigned int width = 2; |
| 2165 | const unsigned int height = 2; |
| 2166 | const unsigned int channelCount = 2; |
| 2167 | const unsigned int batchSize = 2; |
| 2168 | |
| 2169 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2170 | |
| 2171 | std::vector<float> input0({ |
| 2172 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 2173 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2174 | |
| 2175 | std::vector<float> input1({ |
| 2176 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 2177 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2178 | |
| 2179 | std::vector<float> output({ |
| 2180 | 2, 2, 2, 2, 1.5, 1.5, 1.5, 1.5, |
| 2181 | 1, 1, 1, 1, 1.25, 1.25, 1.25, 1.25 }); |
| 2182 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2183 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2184 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2185 | memoryManager, |
| 2186 | shape, input0, 1.0f, 0, |
| 2187 | shape, input1, 1.0f, 0, |
| 2188 | shape, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2189 | } |
| 2190 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2191 | LayerTestResult<float, 4> DivisionBroadcast1ElementTest( |
| 2192 | armnn::IWorkloadFactory& workloadFactory, |
| 2193 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2194 | { |
| 2195 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2196 | std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2197 | |
| 2198 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2199 | std::vector<float> input1({ 2 }); |
| 2200 | |
| 2201 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2202 | |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2203 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2204 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2205 | memoryManager, |
| 2206 | shape0, input0, 1.0f, 0, |
| 2207 | shape1, input1, 1.0f, 0, |
| 2208 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2209 | } |
| 2210 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2211 | LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( |
| 2212 | armnn::IWorkloadFactory& workloadFactory, |
| 2213 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2214 | { |
| 2215 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2216 | std::vector<float> input0({ |
| 2217 | 1, 4, 3, 8, 5, 12, |
| 2218 | 7, 16, 9, 20, 11, 24, |
| 2219 | 13, 28, 15, 32, 17, 36}); |
| 2220 | |
| 2221 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2222 | std::vector<float> input1({ 1, 2 }); |
| 2223 | |
| 2224 | std::vector<float> output({ |
| 2225 | 1, 2, 3, 4, 5, 6, |
| 2226 | 7, 8, 9, 10, 11, 12, |
| 2227 | 13, 14, 15, 16, 17, 18}); |
| 2228 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2229 | return DivisionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 2230 | memoryManager, |
| 2231 | shape0, input0, 1.0f, 0, |
| 2232 | shape1, input1, 1.0f, 0, |
| 2233 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2234 | } |
| 2235 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2236 | LayerTestResult<uint8_t,4> DivisionUint8Test( |
| 2237 | armnn::IWorkloadFactory& workloadFactory, |
| 2238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2239 | { |
| 2240 | const unsigned int width = 2; |
| 2241 | const unsigned int height = 2; |
| 2242 | const unsigned int channelCount = 2; |
| 2243 | const unsigned int batchSize = 2; |
| 2244 | |
| 2245 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2246 | |
| 2247 | std::vector<uint8_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 2248 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2249 | |
| 2250 | std::vector<uint8_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 2251 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2252 | |
| 2253 | std::vector<uint8_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 2254 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 2255 | |
| 2256 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2257 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2258 | memoryManager, |
| 2259 | shape, input0, 1.0f, 0, |
| 2260 | shape, input1, 1.0f, 0, |
| 2261 | shape, output, 0.25f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2262 | } |
| 2263 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2264 | LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test( |
| 2265 | armnn::IWorkloadFactory& workloadFactory, |
| 2266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2267 | { |
| 2268 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2269 | std::vector<uint8_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2270 | |
| 2271 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2272 | std::vector<uint8_t> input1({ 2 }); |
| 2273 | |
| 2274 | std::vector<uint8_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2275 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2276 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2277 | memoryManager, |
| 2278 | shape0, input0, 1.0f, 0, |
| 2279 | shape1, input1, 1.0f, 0, |
| 2280 | shape0, output, 1.0f, 0); |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2281 | } |
| 2282 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 2283 | LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test( |
| 2284 | armnn::IWorkloadFactory& workloadFactory, |
| 2285 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | 5cd01f3 | 2018-09-12 16:00:08 +0100 | [diff] [blame] | 2286 | { |
| 2287 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2288 | std::vector<uint8_t> input0({1, 4, 3, 8, 5, 12, |
| 2289 | 7, 16, 9, 20, 11, 24, |
| 2290 | 13, 28, 15, 32, 17, 36}); |
| 2291 | |
| 2292 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2293 | std::vector<uint8_t> input1({ 1, 2 }); |
| 2294 | |
| 2295 | std::vector<uint8_t> output({1, 2, 3, 4, 5, 6, |
| 2296 | 7, 8, 9, 10, 11, 12, |
| 2297 | 13, 14, 15, 16, 17, 18}); |
| 2298 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 2299 | return DivisionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 2300 | memoryManager, |
| 2301 | shape0, input0, 1.0f, 0, |
| 2302 | shape1, input1, 1.0f, 0, |
| 2303 | shape0, output, 1.0f, 0); |
| 2304 | } |
| 2305 | |
| 2306 | LayerTestResult<int16_t,4> DivisionInt16Test( |
| 2307 | armnn::IWorkloadFactory& workloadFactory, |
| 2308 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2309 | { |
| 2310 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2311 | |
| 2312 | std::vector<int16_t> input0({2, 2, 2, 2, 3, 3, 3, 3, |
| 2313 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2314 | |
| 2315 | std::vector<int16_t> input1({1, 1, 1, 1, 2, 2, 2, 2, |
| 2316 | 4, 4, 4, 4, 4, 4, 4, 4 }); |
| 2317 | |
| 2318 | std::vector<int16_t> output({8, 8, 8, 8, 6, 6, 6, 6, |
| 2319 | 4, 4, 4, 4, 5, 5, 5, 5}); |
| 2320 | |
| 2321 | |
| 2322 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2323 | memoryManager, |
| 2324 | shape, input0, 1.0f, 0, |
| 2325 | shape, input1, 1.0f, 0, |
| 2326 | shape, output, 0.25f, 0); |
| 2327 | } |
| 2328 | |
| 2329 | LayerTestResult<int16_t, 4> DivisionBroadcast1ElementInt16Test( |
| 2330 | armnn::IWorkloadFactory& workloadFactory, |
| 2331 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2332 | { |
| 2333 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2334 | std::vector<int16_t> input0({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 2335 | |
| 2336 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2337 | std::vector<int16_t> input1({ 2 }); |
| 2338 | |
| 2339 | std::vector<int16_t> output({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2340 | |
| 2341 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2342 | memoryManager, |
| 2343 | shape0, input0, 1.0f, 0, |
| 2344 | shape1, input1, 1.0f, 0, |
| 2345 | shape0, output, 1.0f, 0); |
| 2346 | } |
| 2347 | |
| 2348 | LayerTestResult<int16_t, 4> DivisionBroadcast1DVectorInt16Test( |
| 2349 | armnn::IWorkloadFactory& workloadFactory, |
| 2350 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2351 | { |
| 2352 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 2353 | std::vector<int16_t> input0({1, 4, 3, 8, 5, 12, |
| 2354 | 7, 16, 9, 20, 11, 24, |
| 2355 | 13, 28, 15, 32, 17, 36}); |
| 2356 | |
| 2357 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 2358 | std::vector<int16_t> input1({ 1, 2 }); |
| 2359 | |
| 2360 | std::vector<int16_t> output({1, 2, 3, 4, 5, 6, |
| 2361 | 7, 8, 9, 10, 11, 12, |
| 2362 | 13, 14, 15, 16, 17, 18}); |
| 2363 | |
| 2364 | return DivisionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 2365 | memoryManager, |
| 2366 | shape0, input0, 1.0f, 0, |
| 2367 | shape1, input1, 1.0f, 0, |
| 2368 | shape0, output, 1.0f, 0); |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 2369 | } |
| 2370 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2371 | template<typename DescriptorType> |
| 2372 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 2373 | const armnn::IWorkloadFactory& workloadFactory, |
| 2374 | const armnn::WorkloadInfo& info, |
| 2375 | const DescriptorType& descriptor) |
| 2376 | { |
| 2377 | return CreateWorkload(workloadFactory, info, descriptor); |
| 2378 | }; |
| 2379 | |
| 2380 | template<> |
| 2381 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| 2382 | const armnn::IWorkloadFactory& workloadFactory, |
| 2383 | const armnn::WorkloadInfo& info, |
| 2384 | const armnn::MaximumQueueDescriptor& descriptor) |
| 2385 | { |
| 2386 | return workloadFactory.CreateMaximum(descriptor, info); |
| 2387 | } |
| 2388 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 2389 | template<> |
| 2390 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( |
| 2391 | const armnn::IWorkloadFactory& workloadFactory, |
| 2392 | const armnn::WorkloadInfo& info, |
| 2393 | const armnn::MinimumQueueDescriptor& descriptor) |
| 2394 | { |
| 2395 | return workloadFactory.CreateMinimum(descriptor, info); |
| 2396 | } |
| 2397 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2398 | template<> |
| 2399 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( |
| 2400 | const armnn::IWorkloadFactory& workloadFactory, |
| 2401 | const armnn::WorkloadInfo& info, |
| 2402 | const armnn::EqualQueueDescriptor& descriptor) |
| 2403 | { |
| 2404 | return workloadFactory.CreateEqual(descriptor, info); |
| 2405 | } |
| 2406 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2407 | template<> |
| 2408 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( |
| 2409 | const armnn::IWorkloadFactory& workloadFactory, |
| 2410 | const armnn::WorkloadInfo& info, |
| 2411 | const armnn::GreaterQueueDescriptor& descriptor) |
| 2412 | { |
| 2413 | return workloadFactory.CreateGreater(descriptor, info); |
| 2414 | } |
| 2415 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2416 | namespace { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2417 | |
| 2418 | template <typename Descriptor, |
| 2419 | armnn::DataType ArmnnTypeInput, |
| 2420 | armnn::DataType ArmnnTypeOutput, |
| 2421 | typename TInput = armnn::ResolveType<ArmnnTypeInput>, |
| 2422 | typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> |
| 2423 | LayerTestResult<TOutput, 4> ElementwiseTestHelper( |
| 2424 | armnn::IWorkloadFactory & workloadFactory, |
| 2425 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2426 | const unsigned int shape0[4], std::vector<TInput> values0, |
| 2427 | const unsigned int shape1[4], std::vector<TInput> values1, |
| 2428 | const unsigned int outShape[4], std::vector<TOutput> outValues, |
| 2429 | float qScale = 0.0f, int qOffset = 0) |
| 2430 | { |
| 2431 | const size_t dimensionCount = 4; |
| 2432 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput}; |
| 2433 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput}; |
| 2434 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput}; |
| 2435 | |
| 2436 | auto input0 = MakeTensor<TInput, 4>(inputTensorInfo0, values0); |
| 2437 | auto input1 = MakeTensor<TInput, 4>(inputTensorInfo1, values1); |
| 2438 | |
| 2439 | if (armnn::IsQuantizedType<TInput>()) |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2440 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2441 | inputTensorInfo0.SetQuantizationScale(qScale); |
| 2442 | inputTensorInfo0.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2443 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2444 | inputTensorInfo1.SetQuantizationScale(qScale); |
| 2445 | inputTensorInfo1.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2446 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2447 | outputTensorInfo.SetQuantizationScale(qScale); |
| 2448 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2449 | } |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2450 | |
| 2451 | LayerTestResult<TOutput,4> ret(outputTensorInfo); |
| 2452 | |
| 2453 | if(ArmnnTypeOutput == armnn::DataType::Boolean) |
| 2454 | { |
| 2455 | ret.compareBoolean = true; |
| 2456 | } |
| 2457 | |
| 2458 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 2459 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 2460 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 2461 | |
| 2462 | Descriptor data; |
| 2463 | armnn::WorkloadInfo info; |
| 2464 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 2465 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2466 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2467 | auto workload = CreateWorkload<Descriptor>(workloadFactory, info, data); |
| 2468 | |
| 2469 | inputHandle0->Allocate(); |
| 2470 | inputHandle1->Allocate(); |
| 2471 | outputHandle->Allocate(); |
| 2472 | |
| 2473 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 2474 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 2475 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 2476 | workload->PostAllocationConfigure(); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2477 | ExecuteWorkload(*workload, memoryManager); |
| 2478 | |
| 2479 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 2480 | |
| 2481 | ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outValues); |
| 2482 | return ret; |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2483 | } |
| 2484 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2485 | template <typename Descriptor, armnn::DataType ArmnnT, typename T = armnn::ResolveType<ArmnnT>> |
| 2486 | LayerTestResult<T, 4> ElementwiseTestHelper( |
| 2487 | armnn::IWorkloadFactory & workloadFactory, |
| 2488 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 2489 | const unsigned int shape0[4], std::vector<T> values0, |
| 2490 | const unsigned int shape1[4], std::vector<T> values1, |
| 2491 | const unsigned int outShape[4], std::vector<T> outValues, |
| 2492 | float qScale = 0.0f, int qOffset = 0) |
| 2493 | { |
| 2494 | return ElementwiseTestHelper<Descriptor, ArmnnT, ArmnnT> |
| 2495 | (workloadFactory, |
| 2496 | memoryManager, |
| 2497 | shape0, |
| 2498 | values0, |
| 2499 | shape1, |
| 2500 | values1, |
| 2501 | outShape, |
| 2502 | outValues, |
| 2503 | qScale, |
| 2504 | qOffset); |
| 2505 | } |
| 2506 | } |
| 2507 | |
| 2508 | LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2509 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2510 | { |
| 2511 | const unsigned int width = 2; |
| 2512 | const unsigned int height = 2; |
| 2513 | const unsigned int channelCount = 2; |
| 2514 | const unsigned int batchSize = 2; |
| 2515 | |
| 2516 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2517 | |
| 2518 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2519 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2520 | |
| 2521 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2522 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2523 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2524 | std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 2525 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2526 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2527 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2528 | workloadFactory, |
| 2529 | memoryManager, |
| 2530 | shape, |
| 2531 | input0, |
| 2532 | shape, |
| 2533 | input1, |
| 2534 | shape, |
| 2535 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2536 | } |
| 2537 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2538 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2539 | armnn::IWorkloadFactory& workloadFactory, |
| 2540 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2541 | { |
| 2542 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2543 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2544 | |
| 2545 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2546 | std::vector<float> input1({ 1 }); |
| 2547 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2548 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2549 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2550 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2551 | workloadFactory, |
| 2552 | memoryManager, |
| 2553 | shape0, |
| 2554 | input0, |
| 2555 | shape1, |
| 2556 | input1, |
| 2557 | shape0, |
| 2558 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2559 | } |
| 2560 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2561 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2562 | armnn::IWorkloadFactory& workloadFactory, |
| 2563 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2564 | { |
| 2565 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2566 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2567 | |
| 2568 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2569 | 7, 8, 9, 10, 11, 12 }); |
| 2570 | |
| 2571 | std::vector<float> input1({ 1, 2, 3}); |
| 2572 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2573 | std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, |
| 2574 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2575 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2576 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2577 | workloadFactory, |
| 2578 | memoryManager, |
| 2579 | shape0, |
| 2580 | input0, |
| 2581 | shape1, |
| 2582 | input1, |
| 2583 | shape0, |
| 2584 | output); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2585 | } |
| 2586 | |
| 2587 | LayerTestResult<uint8_t, 4> EqualUint8Test( |
| 2588 | armnn::IWorkloadFactory& workloadFactory, |
| 2589 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2590 | { |
| 2591 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2592 | |
| 2593 | // See dequantized values to the right. |
| 2594 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2595 | 3, 3, 3, 3, 7, 7, 7, 7 }); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2596 | |
| 2597 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2598 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2599 | |
| 2600 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2601 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2602 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2603 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2604 | armnn::DataType::QuantisedAsymm8, |
| 2605 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2606 | workloadFactory, |
| 2607 | memoryManager, |
| 2608 | shape, |
| 2609 | input0, |
| 2610 | shape, |
| 2611 | input1, |
| 2612 | shape, |
| 2613 | output, |
| 2614 | 1.0f, |
| 2615 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2616 | } |
| 2617 | |
| 2618 | LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( |
| 2619 | armnn::IWorkloadFactory& workloadFactory, |
| 2620 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2621 | { |
| 2622 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2623 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2624 | |
| 2625 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2626 | 7, 8, 9, 10, 11, 12 }); |
| 2627 | |
| 2628 | std::vector<uint8_t> input1({ 1 }); |
| 2629 | |
| 2630 | std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, |
| 2631 | 0, 0, 0, 0, 0, 0 }); |
| 2632 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2633 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2634 | armnn::DataType::QuantisedAsymm8, |
| 2635 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2636 | workloadFactory, |
| 2637 | memoryManager, |
| 2638 | shape0, |
| 2639 | input0, |
| 2640 | shape1, |
| 2641 | input1, |
| 2642 | shape0, |
| 2643 | output, |
| 2644 | 1.0f, |
| 2645 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2646 | } |
| 2647 | |
| 2648 | LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( |
| 2649 | armnn::IWorkloadFactory& workloadFactory, |
| 2650 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2651 | { |
| 2652 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2653 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2654 | |
| 2655 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2656 | 7, 8, 9, 10, 11, 12 }); |
| 2657 | |
| 2658 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2659 | |
| 2660 | std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, |
| 2661 | 0, 0, 0, 0, 0, 0 }); |
| 2662 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2663 | return ElementwiseTestHelper<armnn::EqualQueueDescriptor, |
| 2664 | armnn::DataType::QuantisedAsymm8, |
| 2665 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2666 | workloadFactory, |
| 2667 | memoryManager, |
| 2668 | shape0, |
| 2669 | input0, |
| 2670 | shape1, |
| 2671 | input1, |
| 2672 | shape0, |
| 2673 | output, |
| 2674 | 1.0f, |
| 2675 | 0); |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 2676 | } |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2677 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2678 | LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2679 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2680 | { |
| 2681 | const unsigned int width = 2; |
| 2682 | const unsigned int height = 2; |
| 2683 | const unsigned int channelCount = 2; |
| 2684 | const unsigned int batchSize = 2; |
| 2685 | |
| 2686 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2687 | |
| 2688 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2689 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2690 | |
| 2691 | std::vector<float> input1({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 2692 | 5, 5, 5, 5, 4, 4, 4, 4 }); |
| 2693 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2694 | std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 2695 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2696 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2697 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2698 | workloadFactory, |
| 2699 | memoryManager, |
| 2700 | shape, |
| 2701 | input0, |
| 2702 | shape, |
| 2703 | input1, |
| 2704 | shape, |
| 2705 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2706 | } |
| 2707 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2708 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2709 | armnn::IWorkloadFactory& workloadFactory, |
| 2710 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2711 | { |
| 2712 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2713 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2714 | |
| 2715 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2716 | std::vector<float> input1({ 1 }); |
| 2717 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2718 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, 1, 1}); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2719 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2720 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2721 | workloadFactory, |
| 2722 | memoryManager, |
| 2723 | shape0, |
| 2724 | input0, |
| 2725 | shape1, |
| 2726 | input1, |
| 2727 | shape0, |
| 2728 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2729 | } |
| 2730 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2731 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2732 | armnn::IWorkloadFactory& workloadFactory, |
| 2733 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2734 | { |
| 2735 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2736 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2737 | |
| 2738 | std::vector<float> input0({ 1, 2.9f, 2.1f, 4, 5, 6, |
| 2739 | 7, 8, 9, 10, 11, 12 }); |
| 2740 | |
| 2741 | std::vector<float> input1({ 1, 3, 2}); |
| 2742 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2743 | std::vector<uint8_t> output({ 0, 0, 1, 1, 1, 1, |
| 2744 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2745 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2746 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2747 | workloadFactory, |
| 2748 | memoryManager, |
| 2749 | shape0, |
| 2750 | input0, |
| 2751 | shape1, |
| 2752 | input1, |
| 2753 | shape0, |
| 2754 | output); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2755 | } |
| 2756 | |
| 2757 | LayerTestResult<uint8_t, 4> GreaterUint8Test( |
| 2758 | armnn::IWorkloadFactory& workloadFactory, |
| 2759 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2760 | { |
| 2761 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2762 | |
| 2763 | // See dequantized values to the right. |
| 2764 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2765 | 3, 3, 3, 3, 5, 5, 5, 5 }); |
| 2766 | |
| 2767 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2768 | 2, 2, 2, 2, 5, 5, 5, 5 }); |
| 2769 | |
| 2770 | std::vector<uint8_t> output({ 0, 0, 0, 0, 0, 0, 0, 0, |
| 2771 | 1, 1, 1, 1, 0, 0, 0, 0 }); |
| 2772 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2773 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2774 | armnn::DataType::QuantisedAsymm8, |
| 2775 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2776 | workloadFactory, |
| 2777 | memoryManager, |
| 2778 | shape, |
| 2779 | input0, |
| 2780 | shape, |
| 2781 | input1, |
| 2782 | shape, |
| 2783 | output, |
| 2784 | 1.0f, |
| 2785 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2786 | } |
| 2787 | |
| 2788 | LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( |
| 2789 | armnn::IWorkloadFactory& workloadFactory, |
| 2790 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2791 | { |
| 2792 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2793 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2794 | |
| 2795 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2796 | 7, 8, 9, 10, 11, 12 }); |
| 2797 | |
| 2798 | std::vector<uint8_t> input1({ 1 }); |
| 2799 | |
| 2800 | std::vector<uint8_t> output({ 0, 1, 1, 1, 1, 1, |
| 2801 | 1, 1, 1, 1, 1, 1 }); |
| 2802 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2803 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2804 | armnn::DataType::QuantisedAsymm8, |
| 2805 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2806 | workloadFactory, |
| 2807 | memoryManager, |
| 2808 | shape0, |
| 2809 | input0, |
| 2810 | shape1, |
| 2811 | input1, |
| 2812 | shape0, |
| 2813 | output, |
| 2814 | 1.0f, |
| 2815 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2816 | } |
| 2817 | |
| 2818 | LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( |
| 2819 | armnn::IWorkloadFactory& workloadFactory, |
| 2820 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2821 | { |
| 2822 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2823 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2824 | |
| 2825 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2826 | 7, 8, 9, 10, 11, 12 }); |
| 2827 | |
| 2828 | std::vector<uint8_t> input1({ 1, 1, 3}); |
| 2829 | |
| 2830 | std::vector<uint8_t> output({ 0, 1, 0, 1, 1, 1, |
| 2831 | 1, 1, 1, 1, 1, 1 }); |
| 2832 | |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2833 | return ElementwiseTestHelper<armnn::GreaterQueueDescriptor, |
| 2834 | armnn::DataType::QuantisedAsymm8, |
| 2835 | armnn::DataType::Boolean>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2836 | workloadFactory, |
| 2837 | memoryManager, |
| 2838 | shape0, |
| 2839 | input0, |
| 2840 | shape1, |
| 2841 | input1, |
| 2842 | shape0, |
| 2843 | output, |
| 2844 | 1.0f, |
| 2845 | 0); |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 2846 | } |
| 2847 | |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2848 | LayerTestResult<float, 4> MaximumSimpleTest(armnn::IWorkloadFactory& workloadFactory, |
| 2849 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2850 | { |
| 2851 | const unsigned int width = 2; |
| 2852 | const unsigned int height = 2; |
| 2853 | const unsigned int channelCount = 2; |
| 2854 | const unsigned int batchSize = 2; |
| 2855 | |
| 2856 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 2857 | |
| 2858 | std::vector<float> input0({ 1, 1, 1, 1, 5, 5, 5, 5, |
| 2859 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2860 | |
| 2861 | std::vector<float> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2862 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2863 | |
| 2864 | std::vector<float> output({ 2, 2, 2, 2, 5, 5, 5, 5, |
| 2865 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2866 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2867 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2868 | workloadFactory, |
| 2869 | memoryManager, |
| 2870 | shape, |
| 2871 | input0, |
| 2872 | shape, |
| 2873 | input1, |
| 2874 | shape, |
| 2875 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2876 | } |
| 2877 | |
| 2878 | LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| 2879 | armnn::IWorkloadFactory& workloadFactory, |
| 2880 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2881 | { |
| 2882 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 2883 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 2884 | |
| 2885 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2886 | std::vector<float> input1({ 2 }); |
| 2887 | |
| 2888 | std::vector<float> output({ 2, 2, 3, 4, 5, 6, 7, 8}); |
| 2889 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2890 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2891 | workloadFactory, |
| 2892 | memoryManager, |
| 2893 | shape0, |
| 2894 | input0, |
| 2895 | shape1, |
| 2896 | input1, |
| 2897 | shape0, |
| 2898 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2899 | } |
| 2900 | |
| 2901 | LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| 2902 | armnn::IWorkloadFactory& workloadFactory, |
| 2903 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2904 | { |
| 2905 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2906 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2907 | |
| 2908 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, |
| 2909 | 7, 8, 9, 10, 11, 12 }); |
| 2910 | |
| 2911 | std::vector<float> input1({ 1, 2, 3}); |
| 2912 | |
| 2913 | std::vector<float> output({ 1, 2, 3, 4, 5, 6, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 2914 | 7, 8, 9, 10, 11, 12 }); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2915 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2916 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| 2917 | workloadFactory, |
| 2918 | memoryManager, |
| 2919 | shape0, |
| 2920 | input0, |
| 2921 | shape1, |
| 2922 | input1, |
| 2923 | shape0, |
| 2924 | output); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2925 | } |
| 2926 | |
| 2927 | LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| 2928 | armnn::IWorkloadFactory& workloadFactory, |
| 2929 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2930 | { |
| 2931 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 2932 | |
| 2933 | // See dequantized values to the right. |
| 2934 | std::vector<uint8_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 2935 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 2936 | |
| 2937 | std::vector<uint8_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 2938 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2939 | |
| 2940 | std::vector<uint8_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 2941 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 2942 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2943 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2944 | workloadFactory, |
| 2945 | memoryManager, |
| 2946 | shape, |
| 2947 | input0, |
| 2948 | shape, |
| 2949 | input1, |
| 2950 | shape, |
| 2951 | output, |
| 2952 | 1.0f, |
| 2953 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2954 | } |
| 2955 | |
| 2956 | LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| 2957 | armnn::IWorkloadFactory& workloadFactory, |
| 2958 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2959 | { |
| 2960 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2961 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 2962 | |
| 2963 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2964 | 7, 8, 9, 10, 11, 12 }); |
| 2965 | |
| 2966 | std::vector<uint8_t> input1({2}); |
| 2967 | |
| 2968 | std::vector<uint8_t> output({ 2, 2, 3, 4, 5, 6, |
| 2969 | 7, 8, 9, 10, 11, 12 }); |
| 2970 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2971 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 2972 | workloadFactory, |
| 2973 | memoryManager, |
| 2974 | shape0, |
| 2975 | input0, |
| 2976 | shape1, |
| 2977 | input1, |
| 2978 | shape0, |
| 2979 | output, |
| 2980 | 1.0f, |
| 2981 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 2982 | } |
| 2983 | |
| 2984 | LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| 2985 | armnn::IWorkloadFactory& workloadFactory, |
| 2986 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 2987 | { |
| 2988 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 2989 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 2990 | |
| 2991 | std::vector<uint8_t> input0({ 1, 2, 3, 4, 5, 6, |
| 2992 | 7, 8, 9, 10, 11, 12 }); |
| 2993 | |
| 2994 | std::vector<uint8_t> input1({ 1, 10, 3}); |
| 2995 | |
| 2996 | std::vector<uint8_t> output({ 1, 10, 3, 4, 10, 6, |
| 2997 | 7, 10, 9, 10, 11, 12 }); |
| 2998 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 2999 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3000 | workloadFactory, |
| 3001 | memoryManager, |
| 3002 | shape0, |
| 3003 | input0, |
| 3004 | shape1, |
| 3005 | input1, |
| 3006 | shape0, |
| 3007 | output, |
| 3008 | 1.0f, |
| 3009 | 0); |
Éanna Ó Catháin | de70558 | 2018-12-03 13:04:22 +0000 | [diff] [blame] | 3010 | } |
| 3011 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3012 | LayerTestResult<int16_t, 4> MaximumInt16Test( |
| 3013 | armnn::IWorkloadFactory& workloadFactory, |
| 3014 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3015 | { |
| 3016 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3017 | |
| 3018 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3019 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3020 | |
| 3021 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3022 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3023 | |
| 3024 | std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 3025 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3026 | |
| 3027 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3028 | workloadFactory, |
| 3029 | memoryManager, |
| 3030 | shape, |
| 3031 | input0, |
| 3032 | shape, |
| 3033 | input1, |
| 3034 | shape, |
| 3035 | output, |
| 3036 | 1.0f, |
| 3037 | 0); |
| 3038 | } |
| 3039 | |
| 3040 | LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| 3041 | armnn::IWorkloadFactory& workloadFactory, |
| 3042 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3043 | { |
| 3044 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3045 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3046 | |
| 3047 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3048 | 7, 8, 9, 10, 11, 12 }); |
| 3049 | |
| 3050 | std::vector<int16_t> input1({2}); |
| 3051 | |
| 3052 | std::vector<int16_t> output({ 2, 2, 3, 4, 5, 6, |
| 3053 | 7, 8, 9, 10, 11, 12 }); |
| 3054 | |
| 3055 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3056 | workloadFactory, |
| 3057 | memoryManager, |
| 3058 | shape0, |
| 3059 | input0, |
| 3060 | shape1, |
| 3061 | input1, |
| 3062 | shape0, |
| 3063 | output, |
| 3064 | 1.0f, |
| 3065 | 0); |
| 3066 | } |
| 3067 | |
| 3068 | LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| 3069 | armnn::IWorkloadFactory& workloadFactory, |
| 3070 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3071 | { |
| 3072 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3073 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3074 | |
| 3075 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3076 | 7, 8, 9, 10, 11, 12 }); |
| 3077 | |
| 3078 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 3079 | |
| 3080 | std::vector<int16_t> output({ 1, 10, 3, 4, 10, 6, |
| 3081 | 7, 10, 9, 10, 11, 12 }); |
| 3082 | |
| 3083 | return ElementwiseTestHelper<armnn::MaximumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3084 | workloadFactory, |
| 3085 | memoryManager, |
| 3086 | shape0, |
| 3087 | input0, |
| 3088 | shape1, |
| 3089 | input1, |
| 3090 | shape0, |
| 3091 | output, |
| 3092 | 1.0f, |
| 3093 | 0); |
| 3094 | } |
| 3095 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3096 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( |
| 3097 | armnn::IWorkloadFactory& workloadFactory, |
| 3098 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3099 | { |
| 3100 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3101 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3102 | |
| 3103 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3104 | std::vector<float> input1({ 2 }); |
| 3105 | |
| 3106 | std::vector<float> output({ 1, 2, 2, 2, 2, 2, 2, 2}); |
| 3107 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3108 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3109 | workloadFactory, |
| 3110 | memoryManager, |
| 3111 | shape0, |
| 3112 | input0, |
| 3113 | shape1, |
| 3114 | input1, |
| 3115 | shape0, |
| 3116 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3117 | } |
| 3118 | |
| 3119 | |
| 3120 | LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( |
| 3121 | armnn::IWorkloadFactory& workloadFactory, |
| 3122 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3123 | { |
| 3124 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3125 | std::vector<float> input0({ 1, 6, 3, 2, 8, 9, 1, 10}); |
| 3126 | |
| 3127 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3128 | std::vector<float> input1({ 5 }); |
| 3129 | |
| 3130 | std::vector<float> output({ 1, 5, 3, 2, 5, 5, 1, 5}); |
| 3131 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3132 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( |
| 3133 | workloadFactory, |
| 3134 | memoryManager, |
| 3135 | shape0, |
| 3136 | input0, |
| 3137 | shape1, |
| 3138 | input1, |
| 3139 | shape0, |
| 3140 | output); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3141 | } |
| 3142 | |
| 3143 | LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( |
| 3144 | armnn::IWorkloadFactory & workloadFactory, |
| 3145 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) |
| 3146 | { |
| 3147 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3148 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3149 | |
| 3150 | std::vector<uint8_t> input0({ 1, 2, 3, 3, 2, 1, |
| 3151 | 7, 1, 2, 3, 4, 5 }); |
| 3152 | |
| 3153 | std::vector<uint8_t> input1({ 1, 2, 3}); |
| 3154 | |
| 3155 | std::vector<uint8_t> output({ 1, 2, 3, 1, 2, 1, |
| 3156 | 1, 1, 2, 1, 2, 3 }); |
| 3157 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3158 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 3159 | workloadFactory, |
| 3160 | memoryManager, |
| 3161 | shape0, |
| 3162 | input0, |
| 3163 | shape1, |
| 3164 | input1, |
| 3165 | shape0, |
| 3166 | output, |
| 3167 | 1.0f, |
| 3168 | 0); |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 3169 | } |
| 3170 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 3171 | LayerTestResult<int16_t, 4> MinimumInt16Test( |
| 3172 | armnn::IWorkloadFactory& workloadFactory, |
| 3173 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3174 | { |
| 3175 | unsigned int shape[] = { 2, 2, 2, 2 }; |
| 3176 | |
| 3177 | std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3178 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3179 | |
| 3180 | std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 3181 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3182 | |
| 3183 | std::vector<int16_t> output({ 1, 1, 1, 1, 3, 3, 3, 3, |
| 3184 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3185 | |
| 3186 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3187 | workloadFactory, |
| 3188 | memoryManager, |
| 3189 | shape, |
| 3190 | input0, |
| 3191 | shape, |
| 3192 | input1, |
| 3193 | shape, |
| 3194 | output, |
| 3195 | 1.0f, |
| 3196 | 0); |
| 3197 | } |
| 3198 | |
| 3199 | LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( |
| 3200 | armnn::IWorkloadFactory& workloadFactory, |
| 3201 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3202 | { |
| 3203 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3204 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3205 | |
| 3206 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3207 | 7, 8, 9, 10, 11, 12 }); |
| 3208 | |
| 3209 | std::vector<int16_t> input1({2}); |
| 3210 | |
| 3211 | std::vector<int16_t> output({ 1, 2, 2, 2, 2, 2, |
| 3212 | 2, 2, 2, 2, 2, 2 }); |
| 3213 | |
| 3214 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3215 | workloadFactory, |
| 3216 | memoryManager, |
| 3217 | shape0, |
| 3218 | input0, |
| 3219 | shape1, |
| 3220 | input1, |
| 3221 | shape0, |
| 3222 | output, |
| 3223 | 1.0f, |
| 3224 | 0); |
| 3225 | } |
| 3226 | |
| 3227 | LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( |
| 3228 | armnn::IWorkloadFactory& workloadFactory, |
| 3229 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 3230 | { |
| 3231 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 3232 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 3233 | |
| 3234 | std::vector<int16_t> input0({ 1, 2, 3, 4, 5, 6, |
| 3235 | 7, 8, 9, 10, 11, 12 }); |
| 3236 | |
| 3237 | std::vector<int16_t> input1({ 1, 10, 3}); |
| 3238 | |
| 3239 | std::vector<int16_t> output({ 1, 2, 3, 1, 5, 3, |
| 3240 | 1, 8, 3, 1, 10, 3 }); |
| 3241 | |
| 3242 | return ElementwiseTestHelper<armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 3243 | workloadFactory, |
| 3244 | memoryManager, |
| 3245 | shape0, |
| 3246 | input0, |
| 3247 | shape1, |
| 3248 | input1, |
| 3249 | shape0, |
| 3250 | output, |
| 3251 | 1.0f, |
| 3252 | 0); |
| 3253 | } |
| 3254 | |
Francis Murtagh | e7a86a4 | 2018-08-29 12:42:10 +0100 | [diff] [blame] | 3255 | namespace { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3256 | LayerTestResult<float,4> MultiplicationTestHelper( |
| 3257 | armnn::IWorkloadFactory& workloadFactory, |
| 3258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3259 | const unsigned int shape0[4], |
| 3260 | const std::vector<float> & values0, |
| 3261 | const unsigned int shape1[4], |
| 3262 | const std::vector<float> & values1, |
| 3263 | const unsigned int outShape[4], |
| 3264 | const std::vector<float> & outValues) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3265 | { |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3266 | const size_t dimensionCount = 4; |
| 3267 | armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32}; |
| 3268 | armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32}; |
| 3269 | armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3270 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3271 | auto input0 = MakeTensor<float, 4>(inputTensorInfo0, values0); |
| 3272 | auto input1 = MakeTensor<float, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3273 | |
| 3274 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3275 | |
| 3276 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3277 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3278 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3279 | |
| 3280 | armnn::MultiplicationQueueDescriptor data; |
| 3281 | armnn::WorkloadInfo info; |
| 3282 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3283 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3284 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3285 | |
| 3286 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3287 | |
| 3288 | inputHandle0->Allocate(); |
| 3289 | inputHandle1->Allocate(); |
| 3290 | outputHandle->Allocate(); |
| 3291 | |
| 3292 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3293 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3294 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3295 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3296 | workload->Execute(); |
| 3297 | |
| 3298 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3299 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3300 | ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3301 | return ret; |
| 3302 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3303 | } // anonymous namespace |
| 3304 | |
| 3305 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3306 | LayerTestResult<float,4> MultiplicationTest( |
| 3307 | armnn::IWorkloadFactory& workloadFactory, |
| 3308 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3309 | { |
| 3310 | const unsigned int width = 2; |
| 3311 | const unsigned int height = 2; |
| 3312 | const unsigned int channelCount = 2; |
| 3313 | const unsigned int batchSize = 2; |
| 3314 | |
| 3315 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3316 | |
| 3317 | std::vector<float> input0({ |
| 3318 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 3319 | 3, 3, 3, 3, 4, 4, 4, 4 }); |
| 3320 | |
| 3321 | std::vector<float> input1({ |
| 3322 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 3323 | 4, 4, 4, 4, 5, 5, 5, 5 }); |
| 3324 | |
| 3325 | std::vector<float> output({ |
| 3326 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 3327 | 12, 12, 12, 12, 20, 20, 20, 20 }); |
| 3328 | |
| 3329 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3330 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3331 | shape, |
| 3332 | input0, |
| 3333 | shape, |
| 3334 | input1, |
| 3335 | shape, |
| 3336 | output); |
| 3337 | } |
| 3338 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3339 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 3340 | armnn::IWorkloadFactory& workloadFactory, |
| 3341 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3342 | { |
| 3343 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 3344 | std::vector<float> input0({ 1, 2, 3, 4, 5, 6, 7, 8}); |
| 3345 | |
| 3346 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 3347 | std::vector<float> input1({ 2 }); |
| 3348 | |
| 3349 | std::vector<float> output({ 2, 4, 6, 8, 10, 12, 14, 16}); |
| 3350 | |
| 3351 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3352 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3353 | shape0, |
| 3354 | input0, |
| 3355 | shape1, |
| 3356 | input1, |
| 3357 | shape0, |
| 3358 | output); |
| 3359 | } |
| 3360 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3361 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 3362 | armnn::IWorkloadFactory& workloadFactory, |
| 3363 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3364 | { |
| 3365 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 3366 | std::vector<float> input0({ |
| 3367 | 1, 2, 3, 4, 5, 6, |
| 3368 | 7, 8, 9, 10, 11, 12, |
| 3369 | 13, 14, 15, 16, 17, 18}); |
| 3370 | |
| 3371 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 3372 | std::vector<float> input1({ 1, 2 }); |
| 3373 | |
| 3374 | std::vector<float> output({ |
| 3375 | 1, 4, 3, 8, 5, 12, |
| 3376 | 7, 16, 9, 20, 11, 24, |
| 3377 | 13, 28, 15, 32, 17, 36}); |
| 3378 | |
| 3379 | return MultiplicationTestHelper(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3380 | memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 3381 | shape0, |
| 3382 | input0, |
| 3383 | shape1, |
| 3384 | input1, |
| 3385 | shape0, |
| 3386 | output); |
| 3387 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3388 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3389 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 3390 | armnn::IWorkloadFactory& workloadFactory, |
| 3391 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3392 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3393 | { |
| 3394 | const unsigned int width = 16; |
| 3395 | const unsigned int height = 32; |
| 3396 | const unsigned int channelCount = 2; |
| 3397 | const unsigned int batchSize = 5; |
| 3398 | |
| 3399 | armnn::TensorInfo inputTensorInfo0; |
| 3400 | armnn::TensorInfo inputTensorInfo1; |
| 3401 | armnn::TensorInfo outputTensorInfo; |
| 3402 | |
| 3403 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 3404 | |
| 3405 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3406 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3407 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3408 | |
| 3409 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 3410 | |
| 3411 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 3412 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 3413 | |
| 3414 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3415 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3416 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3417 | |
| 3418 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 3419 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 3420 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3421 | |
| 3422 | armnn::MultiplicationQueueDescriptor data; |
| 3423 | armnn::WorkloadInfo info; |
| 3424 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 3425 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 3426 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3427 | |
| 3428 | armnn::MultiplicationQueueDescriptor refData = data; |
| 3429 | armnn::WorkloadInfo refInfo = info; |
| 3430 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 3431 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 3432 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3433 | |
| 3434 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 3435 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 3436 | |
| 3437 | inputHandle0->Allocate(); |
| 3438 | inputHandle1->Allocate(); |
| 3439 | outputHandle->Allocate(); |
| 3440 | inputHandle0Ref->Allocate(); |
| 3441 | inputHandle1Ref->Allocate(); |
| 3442 | outputHandleRef->Allocate(); |
| 3443 | |
| 3444 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 3445 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 3446 | CopyDataToITensorHandle(inputHandle0Ref.get(), &input0[0][0][0][0]); |
| 3447 | CopyDataToITensorHandle(inputHandle1Ref.get(), &input1[0][0][0][0]); |
| 3448 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3449 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3450 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3451 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3452 | workloadRef->Execute(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3453 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 3454 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3455 | |
| 3456 | return comparisonResult; |
| 3457 | } |
| 3458 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3459 | LayerTestResult<float,4> CompareBatchNormTest( |
| 3460 | armnn::IWorkloadFactory& workloadFactory, |
| 3461 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3462 | armnn::IWorkloadFactory& refWorkloadFactory) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3463 | { |
| 3464 | const unsigned int width = 2; |
| 3465 | const unsigned int height = 3; |
| 3466 | const unsigned int channels = 5; |
| 3467 | const unsigned int batchSize = 3; |
| 3468 | |
| 3469 | armnn::TensorInfo inputTensorInfo; |
| 3470 | armnn::TensorInfo outputTensorInfo; |
| 3471 | armnn::TensorInfo tensorInfo; |
| 3472 | |
| 3473 | constexpr unsigned int shape[] = {batchSize, channels, height, width}; |
| 3474 | constexpr unsigned int tensorShape[] = {channels}; |
| 3475 | |
| 3476 | inputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3477 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 3478 | tensorInfo = armnn::TensorInfo(1, tensorShape, armnn::DataType::Float32); |
| 3479 | |
| 3480 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 21312); |
| 3481 | |
| 3482 | auto mean = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3483 | auto variance = MakeRandomTensor<float, 1>(tensorInfo, 234, 0.0f); |
| 3484 | auto beta = MakeRandomTensor<float, 1>(tensorInfo, 123); |
| 3485 | auto gamma = MakeRandomTensor<float, 1>(tensorInfo, 345); |
| 3486 | |
| 3487 | LayerTestResult<float,4> ret(outputTensorInfo); |
| 3488 | |
| 3489 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3490 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3491 | |
| 3492 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3493 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3494 | |
| 3495 | armnn::BatchNormalizationQueueDescriptor data; |
| 3496 | armnn::WorkloadInfo info; |
| 3497 | armnn::ScopedCpuTensorHandle meanTensor(tensorInfo); |
| 3498 | armnn::ScopedCpuTensorHandle varianceTensor(tensorInfo); |
| 3499 | armnn::ScopedCpuTensorHandle betaTensor(tensorInfo); |
| 3500 | armnn::ScopedCpuTensorHandle gammaTensor(tensorInfo); |
| 3501 | |
| 3502 | AllocateAndCopyDataToITensorHandle(&meanTensor, &mean[0]); |
| 3503 | AllocateAndCopyDataToITensorHandle(&varianceTensor, &variance[0]); |
| 3504 | AllocateAndCopyDataToITensorHandle(&betaTensor, &beta[0]); |
| 3505 | AllocateAndCopyDataToITensorHandle(&gammaTensor, &gamma[0]); |
| 3506 | |
| 3507 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 3508 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 3509 | data.m_Mean = &meanTensor; |
| 3510 | data.m_Variance = &varianceTensor; |
| 3511 | data.m_Beta = &betaTensor; |
| 3512 | data.m_Gamma = &gammaTensor; |
| 3513 | data.m_Parameters.m_Eps = 0.01f; |
| 3514 | |
| 3515 | armnn::BatchNormalizationQueueDescriptor refData = data; |
| 3516 | armnn::WorkloadInfo refInfo = info; |
| 3517 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 3518 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 3519 | |
| 3520 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info); |
| 3521 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo); |
| 3522 | |
| 3523 | inputHandle->Allocate(); |
| 3524 | outputHandle->Allocate(); |
| 3525 | inputHandleRef->Allocate(); |
| 3526 | outputHandleRef->Allocate(); |
| 3527 | |
| 3528 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 3529 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 3530 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3531 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3532 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3533 | workloadRef->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3534 | workloadRef->Execute(); |
| 3535 | |
| 3536 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 3537 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 3538 | |
| 3539 | return ret; |
| 3540 | } |
| 3541 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3542 | template<typename T> |
| 3543 | void PermuteTensorData( |
| 3544 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3546 | const armnn::PermutationVector& mappings, |
| 3547 | armnn::TensorInfo & inputTensorInfo, |
| 3548 | const T * inputData, |
| 3549 | std::vector<T>& outputData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3550 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3551 | BOOST_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
| 3552 | if (inputData == nullptr) |
| 3553 | { |
| 3554 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 3555 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3556 | // an assert for Debug builds. |
| 3557 | return; |
| 3558 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3559 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3560 | armnn::TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
| 3561 | |
| 3562 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3563 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3564 | |
| 3565 | armnn::PermuteQueueDescriptor queueDescriptor; |
| 3566 | queueDescriptor.m_Parameters = armnn::PermuteDescriptor{mappings}; |
| 3567 | armnn::WorkloadInfo workloadInfo; |
| 3568 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 3569 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3570 | |
| 3571 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(queueDescriptor, workloadInfo); |
| 3572 | |
| 3573 | inputHandle->Allocate(); |
| 3574 | outputHandle->Allocate(); |
| 3575 | |
| 3576 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 3577 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3578 | workload->PostAllocationConfigure(); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3579 | workload->Execute(); |
| 3580 | |
| 3581 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 3582 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 3583 | inputTensorInfo = outputTensorInfo; |
| 3584 | } |
| 3585 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3586 | armnn::OriginsDescriptor CreateDescriptorForConcatenation( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3587 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3588 | unsigned int concatDim) |
| 3589 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3590 | std::vector<armnn::TensorShape> shapes; |
| 3591 | shapes.reserve(inputTensorInfos.size()); |
| 3592 | for (const armnn::TensorInfo& it: inputTensorInfos) |
| 3593 | { |
| 3594 | shapes.push_back(it.GetShape()); |
| 3595 | } |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3596 | |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3597 | return armnn::CreateDescriptorForConcatenation(shapes.begin(), |
| 3598 | shapes.end(), |
| 3599 | concatDim); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3600 | } |
| 3601 | |
| 3602 | // |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3603 | // Concatenation is only supported for N and C dimensions for NCHW and the inner most dimension |
| 3604 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 3605 | // the 3rd slowest iterating one or the inner most dimension. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3606 | // |
| 3607 | |
| 3608 | bool NeedPermuteForConcat( |
| 3609 | const std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3610 | unsigned int concatDim) |
| 3611 | { |
| 3612 | // See note above. Additionally we expect the input shapes to have the |
| 3613 | // same number of dimensions. |
| 3614 | unsigned int nDimensions = 0; |
| 3615 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3616 | // Determine the number of dimensions as well as sanity check them |
| 3617 | // agains test implementation issues. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3618 | for (auto && tensorInfo : inputTensorInfos) |
| 3619 | { |
| 3620 | if (!nDimensions) |
| 3621 | { |
| 3622 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 3623 | } |
| 3624 | else |
| 3625 | { |
| 3626 | BOOST_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
| 3627 | "Input shapes must have the same number of dimensions"); |
| 3628 | } |
| 3629 | } |
| 3630 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3631 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3632 | } |
| 3633 | |
| 3634 | armnn::TensorShape ExpandTensorShapeTo3dForPermute(const armnn::TensorShape & inputShape) |
| 3635 | { |
| 3636 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 3637 | if (numDims >= 3) |
| 3638 | { |
| 3639 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 3640 | return inputShape; |
| 3641 | } |
| 3642 | |
| 3643 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 3644 | unsigned int expandedBy = 3 - numDims; |
| 3645 | for (unsigned int i=0; i<numDims; ++i) |
| 3646 | { |
| 3647 | newDims[expandedBy+i] = inputShape[i]; |
| 3648 | } |
| 3649 | return armnn::TensorShape(3u, &newDims[0]); |
| 3650 | } |
| 3651 | |
| 3652 | void Generate3dPermuteVectorForConcat( |
| 3653 | unsigned int numDimensions, |
| 3654 | unsigned int & concatDim, |
| 3655 | std::pair<armnn::PermutationVector, armnn::PermutationVector> & permutations) |
| 3656 | { |
| 3657 | BOOST_ASSERT_MSG(numDimensions <= 3, |
| 3658 | "Only dimensions 1,2 and 3 are supported by this helper"); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3659 | unsigned int expandedBy = 3 - numDimensions; |
| 3660 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 3661 | |
| 3662 | if (expandedConcatAxis == 2) |
| 3663 | { |
| 3664 | concatDim = 0; |
| 3665 | armnn::PermutationVector forwardPermutation({1, 2, 0}); |
| 3666 | armnn::PermutationVector reversePermutation({2, 0, 1}); |
| 3667 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3668 | } |
| 3669 | else if (expandedConcatAxis == 1) |
| 3670 | { |
| 3671 | concatDim = 0; |
| 3672 | armnn::PermutationVector forwardPermutation({2, 0, 1}); |
| 3673 | armnn::PermutationVector reversePermutation({1, 2, 0}); |
| 3674 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 3675 | } |
| 3676 | else |
| 3677 | { |
| 3678 | BOOST_ASSERT(expandedConcatAxis == 0); |
| 3679 | concatDim = 0; |
| 3680 | } |
| 3681 | } |
| 3682 | |
| 3683 | // |
| 3684 | // Permute the input tensors so we can do a supported concatenation. |
| 3685 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 3686 | // at the front. Finally this function tells what the output shape |
| 3687 | // of the permuted concatenated tensor is going to be. |
| 3688 | // |
| 3689 | template <typename T> |
| 3690 | void PermuteInputsForConcat( |
| 3691 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3692 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3693 | std::vector<armnn::TensorInfo> & inputTensorInfos, |
| 3694 | std::vector<T *> & inputData, |
| 3695 | std::vector<std::vector<T>> & inputDataStorage, |
| 3696 | armnn::PermutationVector & permuteVector, |
| 3697 | unsigned int & concatDim, |
| 3698 | armnn::TensorInfo & outputTensorInfo) |
| 3699 | { |
| 3700 | BOOST_ASSERT_MSG(inputTensorInfos.size() > 1, |
| 3701 | "Expecting more than one tensor to be concatenated here"); |
| 3702 | |
| 3703 | unsigned int numDims = 0; |
| 3704 | unsigned int nthInput = 0; |
| 3705 | const armnn::PermutationVector identity({0, 1, 2}); |
| 3706 | |
| 3707 | std::pair<armnn::PermutationVector, armnn::PermutationVector> permutations = |
| 3708 | std::make_pair(identity, identity); |
| 3709 | |
| 3710 | inputDataStorage.resize(inputData.size()); |
| 3711 | |
| 3712 | for (auto && tensorInfo : inputTensorInfos) |
| 3713 | { |
| 3714 | if (numDims == 0) |
| 3715 | { |
| 3716 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 3717 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3718 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3719 | // Store the reverese permutation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3720 | permuteVector = permutations.second; |
| 3721 | BOOST_ASSERT_MSG(!permuteVector.IsEqual(identity), |
| 3722 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 3723 | } |
| 3724 | else |
| 3725 | { |
| 3726 | BOOST_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
| 3727 | "All inputs must have the same number of dimensions"); |
| 3728 | } |
| 3729 | |
| 3730 | armnn::TensorInfo newTensorInfo = tensorInfo; |
| 3731 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 3732 | |
| 3733 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3734 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3735 | permutations.first, |
| 3736 | newTensorInfo, |
| 3737 | inputData[nthInput], |
| 3738 | inputDataStorage[nthInput]); |
| 3739 | |
| 3740 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 3741 | inputTensorInfos[nthInput] = newTensorInfo; |
| 3742 | |
| 3743 | ++nthInput; |
| 3744 | } |
| 3745 | |
| 3746 | outputTensorInfo.SetShape( |
| 3747 | armnnUtils::Permuted( |
| 3748 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 3749 | permutations.first)); |
| 3750 | } |
| 3751 | |
| 3752 | |
| 3753 | // |
| 3754 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3755 | // the output of the concatenation so we can check it against an expected |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3756 | // output. |
| 3757 | // |
| 3758 | template <typename T> |
| 3759 | void PermuteOutputForConcat( |
| 3760 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3761 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3762 | const armnn::TensorInfo & tensorInfo, |
| 3763 | const armnn::PermutationVector & permuteVector, |
| 3764 | std::unique_ptr<armnn::ITensorHandle> && inputDataHandle, |
| 3765 | T * data) |
| 3766 | { |
| 3767 | BOOST_ASSERT_MSG(data != nullptr, "data must not be null"); |
| 3768 | if (data == nullptr) |
| 3769 | { |
| 3770 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3771 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3772 | // an assert for Debug builds. |
| 3773 | return; |
| 3774 | } |
| 3775 | |
| 3776 | armnn::TensorInfo resultTensorInfo = tensorInfo; |
| 3777 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 3778 | std::vector<T> outputData; |
| 3779 | |
| 3780 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 3781 | |
| 3782 | PermuteTensorData<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3783 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3784 | permuteVector, |
| 3785 | resultTensorInfo, |
| 3786 | &inputData[0], |
| 3787 | outputData); |
| 3788 | |
| 3789 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 3790 | } |
| 3791 | |
| 3792 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3793 | void Concatenate( |
| 3794 | armnn::IWorkloadFactory& workloadFactory, |
| 3795 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3796 | std::initializer_list<const armnn::TensorInfo> inputTensorInfosOrig, |
| 3797 | std::initializer_list<T *> inputsOrig, |
| 3798 | const armnn::TensorInfo& outputTensorInfoOrig, |
| 3799 | T * output, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3800 | unsigned int concatDim, |
| 3801 | bool useSubtensor) |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3802 | { |
| 3803 | BOOST_ASSERT_MSG(output != nullptr, "output must not be null"); |
| 3804 | if (output == nullptr) |
| 3805 | { |
| 3806 | // Nullptr is an error in the test. By returning without doing the permutation |
| 3807 | // I expect the caller to fail the test. It still makes sense to report this as |
| 3808 | // an assert for Debug builds. |
| 3809 | return; |
| 3810 | } |
| 3811 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3812 | // Saves a copy of the parameters which we might need to change. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3813 | std::vector<armnn::TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
| 3814 | std::vector<T *> inputs = inputsOrig; |
| 3815 | armnn::TensorInfo outputTensorInfo = outputTensorInfoOrig; |
| 3816 | |
| 3817 | armnn::PermutationVector permuteVector{0, 1, 2}; |
| 3818 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3819 | // Holds and automatically releases memory for the reshaped input data. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3820 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 3821 | |
| 3822 | const size_t inputCount = inputTensorInfos.size(); |
| 3823 | |
| 3824 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 3825 | |
| 3826 | if (needPermuteForConcat) |
| 3827 | { |
| 3828 | // |
| 3829 | // We need to permute the inputs, because concatenation along |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 3830 | // the requested axis is not supported. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3831 | // |
| 3832 | PermuteInputsForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3833 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3834 | inputTensorInfos, |
| 3835 | inputs, |
| 3836 | tmpInputDataStorage, |
| 3837 | permuteVector, |
| 3838 | concatDim, |
| 3839 | outputTensorInfo); |
| 3840 | } |
| 3841 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3842 | armnn::WorkloadInfo workloadInfo; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3843 | |
| 3844 | std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles; |
| 3845 | inputHandles.reserve(inputCount); |
| 3846 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3847 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 3848 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 3849 | armnn::ConcatQueueDescriptor queueDescriptor; |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 3850 | armnn::OriginsDescriptor viewsDescriptor = CreateDescriptorForConcatenation(inputTensorInfos, concatDim); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3851 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 3852 | |
| 3853 | if (useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3854 | { |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3855 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 3856 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 3857 | { |
| 3858 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 3859 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 3860 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3861 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3862 | outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3863 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3864 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 3865 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3866 | { |
| 3867 | const armnn::TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
| 3868 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 3869 | subTensorsSupported ? |
| 3870 | workloadFactory.CreateSubTensorHandle(*outputHandle, |
| 3871 | inputTensorInfo.GetShape(), |
| 3872 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
| 3873 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 3874 | |
| 3875 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3876 | } |
| 3877 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3878 | } |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3879 | else |
| 3880 | { |
| 3881 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3882 | { |
| 3883 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfos[i]); |
| 3884 | inputHandles.emplace_back(std::move(inputHandle)); |
| 3885 | } |
| 3886 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3887 | |
| 3888 | for (unsigned int i = 0; i < inputCount; ++i) |
| 3889 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3890 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3891 | } |
| 3892 | |
| 3893 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 3894 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 3895 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(queueDescriptor, workloadInfo); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3896 | |
| 3897 | for (auto& inputHandle : inputHandles) |
| 3898 | { |
| 3899 | inputHandle->Allocate(); |
| 3900 | } |
| 3901 | |
| 3902 | outputHandle->Allocate(); |
| 3903 | |
| 3904 | unsigned int nextInputId = 0; |
| 3905 | for (auto& inputHandle : inputHandles) |
| 3906 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3907 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 3908 | ++nextInputId; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3909 | } |
| 3910 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 3911 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3912 | workload->Execute(); |
| 3913 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3914 | if (needPermuteForConcat) |
| 3915 | { |
| 3916 | PermuteOutputForConcat<T>(workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3917 | memoryManager, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 3918 | outputTensorInfo, |
| 3919 | permuteVector, |
| 3920 | std::move(outputHandle), |
| 3921 | output); |
| 3922 | } |
| 3923 | else |
| 3924 | { |
| 3925 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 3926 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3927 | } |
| 3928 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3929 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3930 | LayerTestResult<T, 1> Concatenation1dTestImpl( |
| 3931 | armnn::IWorkloadFactory& workloadFactory, |
| 3932 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3933 | float qScale, |
| 3934 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3935 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3936 | armnn::TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3937 | |
| 3938 | auto input0 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 1.0f, 2.0f, 3.0f })); |
| 3939 | auto input1 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 4.0f, 5.0f, 6.0f })); |
| 3940 | auto input2 = MakeTensor<T, 1>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { 7.0f, 8.0f, 9.0f })); |
| 3941 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3942 | armnn::TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3943 | |
| 3944 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 3945 | |
| 3946 | std::vector<T> output; |
| 3947 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3948 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 3949 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 3950 | { input0.data(), input1.data(), input2.data() }, |
| 3951 | outputTensorInfo, |
| 3952 | output.data(), |
| 3953 | 0, |
| 3954 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3955 | |
| 3956 | result.output = MakeTensor<T, 1>(outputTensorInfo, output); |
| 3957 | result.outputExpected = MakeTensor<T, 1>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3958 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 3959 | })); |
| 3960 | |
| 3961 | return result; |
| 3962 | } |
| 3963 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3964 | LayerTestResult<float, 1> Concatenation1dTest( |
| 3965 | armnn::IWorkloadFactory& workloadFactory, |
| 3966 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3967 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3968 | return Concatenation1dTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3969 | } |
| 3970 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 3971 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 3972 | LayerTestResult<T, 2> Concatenation2dTestImpl( |
| 3973 | armnn::IWorkloadFactory& workloadFactory, |
| 3974 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3975 | const armnn::TensorInfo& outputTensorInfo, |
| 3976 | unsigned int dimension, |
| 3977 | const float qScale, |
| 3978 | const int32_t qOffset) |
| 3979 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 3980 | armnn::TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 3981 | |
| 3982 | auto input0 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3983 | // Batch 0 |
| 3984 | 1.0f, 2.0f, 3.0f, |
| 3985 | |
| 3986 | // Batch 1 |
| 3987 | 10.0f, 11.0f, 12.0f, |
| 3988 | })); |
| 3989 | |
| 3990 | auto input1 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3991 | // Batch 0 |
| 3992 | 4.0f, 5.0f, 6.0f, |
| 3993 | |
| 3994 | // Batch 1 |
| 3995 | 13.0f, 14.0f, 15.0f, |
| 3996 | })); |
| 3997 | |
| 3998 | auto input2 = MakeTensor<T, 2>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 3999 | // Batch 0 |
| 4000 | 7.0f, 8.0f, 9.0f, |
| 4001 | |
| 4002 | // Batch 1 |
| 4003 | 16.0f, 17.0f, 18.0f, |
| 4004 | })); |
| 4005 | |
| 4006 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4007 | |
| 4008 | std::vector<T> output; |
| 4009 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4010 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4011 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4012 | { input0.data(), input1.data(), input2.data() }, |
| 4013 | outputTensorInfo, |
| 4014 | output.data(), |
| 4015 | dimension, |
| 4016 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4017 | |
| 4018 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4019 | return result; |
| 4020 | } |
| 4021 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4022 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4023 | LayerTestResult<T, 2> Concatenation2dDim0TestImpl( |
| 4024 | armnn::IWorkloadFactory& workloadFactory, |
| 4025 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4026 | float qScale, |
| 4027 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4028 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4029 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4030 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4031 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4032 | workloadFactory, memoryManager, outputTensorInfo, 0, qScale, qOffset); |
| 4033 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4034 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4035 | // Batch 0 |
| 4036 | 1.0f, 2.0f, 3.0f, |
| 4037 | |
| 4038 | // Batch 1 |
| 4039 | 10.0f, 11.0f, 12.0f, |
| 4040 | |
| 4041 | // Batch 2 |
| 4042 | 4.0f, 5.0f, 6.0f, |
| 4043 | |
| 4044 | // Batch 3 |
| 4045 | 13.0f, 14.0f, 15.0f, |
| 4046 | |
| 4047 | // Batch 4 |
| 4048 | 7.0f, 8.0f, 9.0f, |
| 4049 | |
| 4050 | // Batch 5 |
| 4051 | 16.0f, 17.0f, 18.0f, |
| 4052 | })); |
| 4053 | |
| 4054 | return result; |
| 4055 | } |
| 4056 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4057 | LayerTestResult<float, 2> Concatenation2dDim0Test( |
| 4058 | armnn::IWorkloadFactory& workloadFactory, |
| 4059 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4060 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4061 | return Concatenation2dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4062 | } |
| 4063 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4064 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4065 | LayerTestResult<T, 2> Concatenation2dDim1TestImpl( |
| 4066 | armnn::IWorkloadFactory& workloadFactory, |
| 4067 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4068 | float qScale, |
| 4069 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4070 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4071 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4072 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4073 | LayerTestResult<T, 2> result = Concatenation2dTestImpl<ArmnnType>( |
| 4074 | workloadFactory, memoryManager, outputTensorInfo, 1, qScale, qOffset); |
| 4075 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4076 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4077 | // Batch 0 |
| 4078 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 4079 | |
| 4080 | // Batch 1 |
| 4081 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 4082 | })); |
| 4083 | |
| 4084 | return result; |
| 4085 | } |
| 4086 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4087 | LayerTestResult<float, 2> Concatenation2dDim1Test( |
| 4088 | armnn::IWorkloadFactory& workloadFactory, |
| 4089 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4090 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4091 | return Concatenation2dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4092 | } |
| 4093 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4094 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4095 | LayerTestResult<T, 2> Concatenation2dDim0DiffInputDimsTestImpl( |
| 4096 | armnn::IWorkloadFactory& workloadFactory, |
| 4097 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4098 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4099 | int32_t qOffset) |
| 4100 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4101 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4102 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4103 | // Batch 0 |
| 4104 | 1.0f, 2.0f, 3.0f, |
| 4105 | |
| 4106 | // Batch 1 |
| 4107 | 10.0f, 11.0f, 12.0f, |
| 4108 | })); |
| 4109 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4110 | armnn::TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4111 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4112 | // Batch 0 |
| 4113 | 4.0f, 5.0f, 6.0f, |
| 4114 | |
| 4115 | // Batch 1 |
| 4116 | 13.0f, 14.0f, 15.0f, |
| 4117 | |
| 4118 | // Batch 0 |
| 4119 | 7.0f, 8.0f, 9.0f, |
| 4120 | })); |
| 4121 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4122 | armnn::TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4123 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4124 | // Batch 1 |
| 4125 | 16.0f, 17.0f, 18.0f, |
| 4126 | })); |
| 4127 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4128 | armnn::TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4129 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4130 | |
| 4131 | std::vector<T> output; |
| 4132 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4133 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4134 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4135 | { input0.data(), input1.data(), input2.data() }, |
| 4136 | outputTensorInfo, |
| 4137 | output.data(), |
| 4138 | 0, |
| 4139 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4140 | |
| 4141 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4142 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4143 | // Batch 0 |
| 4144 | 1.0f, 2.0f, 3.0f, |
| 4145 | |
| 4146 | // Batch 1 |
| 4147 | 10.0f, 11.0f, 12.0f, |
| 4148 | |
| 4149 | // Batch 2 |
| 4150 | 4.0f, 5.0f, 6.0f, |
| 4151 | |
| 4152 | // Batch 3 |
| 4153 | 13.0f, 14.0f, 15.0f, |
| 4154 | |
| 4155 | // Batch 4 |
| 4156 | 7.0f, 8.0f, 9.0f, |
| 4157 | |
| 4158 | // Batch 5 |
| 4159 | 16.0f, 17.0f, 18.0f, |
| 4160 | })); |
| 4161 | |
| 4162 | return result; |
| 4163 | } |
| 4164 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4165 | LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest( |
| 4166 | armnn::IWorkloadFactory& workloadFactory, |
| 4167 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4168 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4169 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4170 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4171 | } |
| 4172 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4173 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4174 | LayerTestResult<T, 2> Concatenation2dDim1DiffInputDimsTestImpl( |
| 4175 | armnn::IWorkloadFactory& workloadFactory, |
| 4176 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4177 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4178 | int32_t qOffset) |
| 4179 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4180 | armnn::TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4181 | auto input0 = MakeTensor<T, 2>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4182 | // Batch 0 |
| 4183 | 1.0f, 2.0f, 3.0f, |
| 4184 | |
| 4185 | // Batch 1 |
| 4186 | 10.0f, 11.0f, 12.0f, |
| 4187 | })); |
| 4188 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4189 | armnn::TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4190 | auto input1 = MakeTensor<T, 2>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4191 | // Batch 0 |
| 4192 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
| 4193 | |
| 4194 | // Batch 1 |
| 4195 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 4196 | })); |
| 4197 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4198 | armnn::TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4199 | auto input2 = MakeTensor<T, 2>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4200 | // Batch 0 |
| 4201 | 9.0f, |
| 4202 | |
| 4203 | // Batch 1 |
| 4204 | 18.0f |
| 4205 | })); |
| 4206 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4207 | armnn::TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4208 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 4209 | |
| 4210 | std::vector<T> output; |
| 4211 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4212 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4213 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4214 | { input0.data(), input1.data(), input2.data() }, |
| 4215 | outputTensorInfo, |
| 4216 | output.data(), |
| 4217 | 1, |
| 4218 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4219 | |
| 4220 | result.output = MakeTensor<T, 2>(outputTensorInfo, output); |
| 4221 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4222 | // Batch 0 |
| 4223 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 4224 | |
| 4225 | // Batch 1 |
| 4226 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 4227 | })); |
| 4228 | |
| 4229 | return result; |
| 4230 | } |
| 4231 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4232 | LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest( |
| 4233 | armnn::IWorkloadFactory& workloadFactory, |
| 4234 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4235 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4236 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4237 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4238 | } |
| 4239 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4240 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4241 | LayerTestResult<T, 3> Concatenation3dTestImpl( |
| 4242 | armnn::IWorkloadFactory& workloadFactory, |
| 4243 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4244 | const armnn::TensorInfo& outputTensorInfo, |
| 4245 | unsigned int dimension, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4246 | bool useSubtensor, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4247 | float qScale, |
| 4248 | int32_t qOffset) |
| 4249 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4250 | armnn::TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4251 | |
| 4252 | auto input0 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4253 | // Batch 0, Channel 0 |
| 4254 | 1.0f, 2.0f, |
| 4255 | |
| 4256 | // Batch 0, Channel 1 |
| 4257 | 3.0f, 4.0f, |
| 4258 | |
| 4259 | // Batch 0, Channel 2 |
| 4260 | 5.0f, 6.0f, |
| 4261 | |
| 4262 | // Batch 1, Channel 0 |
| 4263 | 19.0f, 20.0f, |
| 4264 | |
| 4265 | // Batch 1, Channel 1 |
| 4266 | 21.0f, 22.0f, |
| 4267 | |
| 4268 | // Batch 1, Channel 2 |
| 4269 | 23.0f, 24.0f |
| 4270 | })); |
| 4271 | |
| 4272 | auto input1 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4273 | // Batch 0, Channel 0 |
| 4274 | 7.0f, 8.0f, |
| 4275 | |
| 4276 | // Batch 0, Channel 1 |
| 4277 | 9.0f, 10.0f, |
| 4278 | |
| 4279 | // Batch 0, Channel 2 |
| 4280 | 11.0f, 12.0f, |
| 4281 | |
| 4282 | // Batch 1, Channel 0 |
| 4283 | 25.0f, 26.0f, |
| 4284 | |
| 4285 | // Batch 1, Channel 1 |
| 4286 | 27.0f, 28.0f, |
| 4287 | |
| 4288 | // Batch 1, Channel 2 |
| 4289 | 29.0f, 30.0f |
| 4290 | })); |
| 4291 | |
| 4292 | auto input2 = MakeTensor<T, 3>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4293 | // Batch 0, Channel 0 |
| 4294 | 13.0f, 14.0f, |
| 4295 | |
| 4296 | // Batch 0, Channel 1 |
| 4297 | 15.0f, 16.0f, |
| 4298 | |
| 4299 | // Batch 0, Channel 2 |
| 4300 | 17.0f, 18.0f, |
| 4301 | |
| 4302 | // Batch 1, Channel 0 |
| 4303 | 31.0f, 32.0f, |
| 4304 | |
| 4305 | // Batch 1, Channel 1 |
| 4306 | 33.0f, 34.0f, |
| 4307 | |
| 4308 | // Batch 1, Channel 2 |
| 4309 | 35.0f, 36.0f |
| 4310 | })); |
| 4311 | |
| 4312 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4313 | |
| 4314 | std::vector<T> output; |
| 4315 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4316 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4317 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 4318 | { input0.data(), input1.data(), input2.data() }, |
| 4319 | outputTensorInfo, |
| 4320 | output.data(), |
| 4321 | dimension, |
| 4322 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4323 | |
| 4324 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4325 | return result; |
| 4326 | } |
| 4327 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4328 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4329 | LayerTestResult<T, 3> Concatenation3dDim0TestImpl( |
| 4330 | armnn::IWorkloadFactory& workloadFactory, |
| 4331 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4332 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4333 | int32_t qOffset) |
| 4334 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4335 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4336 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4337 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4338 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 4339 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4340 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4341 | // Batch 0, Channel 0 |
| 4342 | 1.0f, 2.0f, |
| 4343 | |
| 4344 | // Batch 0, Channel 1 |
| 4345 | 3.0f, 4.0f, |
| 4346 | |
| 4347 | // Batch 0, Channel 2 |
| 4348 | 5.0f, 6.0f, |
| 4349 | |
| 4350 | // Batch 1, Channel 0 |
| 4351 | 19.0f, 20.0f, |
| 4352 | |
| 4353 | // Batch 1, Channel 1 |
| 4354 | 21.0f, 22.0f, |
| 4355 | |
| 4356 | // Batch 1, Channel 2 |
| 4357 | 23.0f, 24.0f, |
| 4358 | |
| 4359 | // Batch 2, Channel 0 |
| 4360 | 7.0f, 8.0f, |
| 4361 | |
| 4362 | // Batch 2, Channel 1 |
| 4363 | 9.0f, 10.0f, |
| 4364 | |
| 4365 | // Batch 2, Channel 2 |
| 4366 | 11.0f, 12.0f, |
| 4367 | |
| 4368 | // Batch 3, Channel 0 |
| 4369 | 25.0f, 26.0f, |
| 4370 | |
| 4371 | // Batch 3, Channel 1 |
| 4372 | 27.0f, 28.0f, |
| 4373 | |
| 4374 | // Batch 3, Channel 2 |
| 4375 | 29.0f, 30.0f, |
| 4376 | |
| 4377 | // Batch 4, Channel 0 |
| 4378 | 13.0f, 14.0f, |
| 4379 | |
| 4380 | // Batch 4, Channel 1 |
| 4381 | 15.0f, 16.0f, |
| 4382 | |
| 4383 | // Batch 4, Channel 2 |
| 4384 | 17.0f, 18.0f, |
| 4385 | |
| 4386 | // Batch 5, Channel 0 |
| 4387 | 31.0f, 32.0f, |
| 4388 | |
| 4389 | // Batch 5, Channel 1 |
| 4390 | 33.0f, 34.0f, |
| 4391 | |
| 4392 | // Batch 5, Channel 2 |
| 4393 | 35.0f, 36.0f |
| 4394 | })); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4395 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4396 | return result; |
| 4397 | } |
| 4398 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4399 | LayerTestResult<float, 3> Concatenation3dDim0Test( |
| 4400 | armnn::IWorkloadFactory& workloadFactory, |
| 4401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4402 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4403 | return Concatenation3dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4404 | } |
| 4405 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4406 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4407 | LayerTestResult<T, 3> Concatenation3dDim1TestImpl( |
| 4408 | armnn::IWorkloadFactory& workloadFactory, |
| 4409 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4410 | float qScale, |
| 4411 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4412 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4413 | armnn::TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4414 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4415 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4416 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4417 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4418 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4419 | // Batch 0, Channel 0 |
| 4420 | 1.0f, 2.0f, |
| 4421 | |
| 4422 | // Batch 0, Channel 1 |
| 4423 | 3.0f, 4.0f, |
| 4424 | |
| 4425 | // Batch 0, Channel 2 |
| 4426 | 5.0f, 6.0f, |
| 4427 | |
| 4428 | // Batch 0, Channel 3 |
| 4429 | 7.0f, 8.0f, |
| 4430 | |
| 4431 | // Batch 0, Channel 4 |
| 4432 | 9.0f, 10.0f, |
| 4433 | |
| 4434 | // Batch 0, Channel 5 |
| 4435 | 11.0f, 12.0f, |
| 4436 | |
| 4437 | // Batch 0, Channel 6 |
| 4438 | 13.0f, 14.0f, |
| 4439 | |
| 4440 | // Batch 0, Channel 7 |
| 4441 | 15.0f, 16.0f, |
| 4442 | |
| 4443 | // Batch 0, Channel 8 |
| 4444 | 17.0f, 18.0f, |
| 4445 | |
| 4446 | // Batch 1, Channel 0 |
| 4447 | 19.0f, 20.0f, |
| 4448 | |
| 4449 | // Batch 1, Channel 1 |
| 4450 | 21.0f, 22.0f, |
| 4451 | |
| 4452 | // Batch 1, Channel 2 |
| 4453 | 23.0f, 24.0f, |
| 4454 | |
| 4455 | // Batch 1, Channel 3 |
| 4456 | 25.0f, 26.0f, |
| 4457 | |
| 4458 | // Batch 1, Channel 4 |
| 4459 | 27.0f, 28.0f, |
| 4460 | |
| 4461 | // Batch 1, Channel 5 |
| 4462 | 29.0f, 30.0f, |
| 4463 | |
| 4464 | // Batch 1, Channel 6 |
| 4465 | 31.0f, 32.0f, |
| 4466 | |
| 4467 | // Batch 1, Channel 7 |
| 4468 | 33.0f, 34.0f, |
| 4469 | |
| 4470 | // Batch 1, Channel 8 |
| 4471 | 35.0f, 36.0f |
| 4472 | })); |
| 4473 | |
| 4474 | return result; |
| 4475 | } |
| 4476 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4477 | LayerTestResult<float, 3> Concatenation3dDim1Test( |
| 4478 | armnn::IWorkloadFactory& workloadFactory, |
| 4479 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4480 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4481 | return Concatenation3dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4482 | } |
| 4483 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4484 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4485 | LayerTestResult<T, 3> Concatenation3dDim2TestImpl( |
| 4486 | armnn::IWorkloadFactory& workloadFactory, |
| 4487 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4488 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4489 | float qScale, |
| 4490 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4491 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4492 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4493 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4494 | LayerTestResult<T, 3> result = Concatenation3dTestImpl<ArmnnType>( |
| 4495 | workloadFactory, memoryManager, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4496 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4497 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4498 | // Batch 0, Channel 0 |
| 4499 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 4500 | |
| 4501 | // Batch 0, Channel 1 |
| 4502 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 4503 | |
| 4504 | // Batch 0, Channel 2 |
| 4505 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 4506 | |
| 4507 | // Batch 1, Channel 0 |
| 4508 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 4509 | |
| 4510 | // Batch 1, Channel 1 |
| 4511 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 4512 | |
| 4513 | // Batch 1, Channel 2 |
| 4514 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 4515 | })); |
| 4516 | |
| 4517 | return result; |
| 4518 | } |
| 4519 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4520 | LayerTestResult<float, 3> Concatenation3dDim2Test( |
| 4521 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4522 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4523 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4524 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4525 | return Concatenation3dDim2TestImpl<armnn::DataType::Float32>( |
| 4526 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4527 | } |
| 4528 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4529 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4530 | LayerTestResult<T, 3> Concatenation3dDim0DiffInputDimsTestImpl( |
| 4531 | armnn::IWorkloadFactory& workloadFactory, |
| 4532 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4533 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4534 | int32_t qOffset) |
| 4535 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4536 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4537 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4538 | // Batch 0, Channel 0 |
| 4539 | 1.0f, 2.0f, |
| 4540 | |
| 4541 | // Batch 0, Channel 1 |
| 4542 | 3.0f, 4.0f, |
| 4543 | |
| 4544 | // Batch 0, Channel 2 |
| 4545 | 5.0f, 6.0f, |
| 4546 | |
| 4547 | // Batch 1, Channel 0 |
| 4548 | 19.0f, 20.0f, |
| 4549 | |
| 4550 | // Batch 1, Channel 1 |
| 4551 | 21.0f, 22.0f, |
| 4552 | |
| 4553 | // Batch 1, Channel 2 |
| 4554 | 23.0f, 24.0f |
| 4555 | })); |
| 4556 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4557 | armnn::TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4558 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4559 | // Batch 0, Channel 0 |
| 4560 | 7.0f, 8.0f, |
| 4561 | |
| 4562 | // Batch 0, Channel 1 |
| 4563 | 9.0f, 10.0f, |
| 4564 | |
| 4565 | // Batch 0, Channel 2 |
| 4566 | 11.0f, 12.0f, |
| 4567 | })); |
| 4568 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4569 | armnn::TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4570 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4571 | // Batch 0, Channel 0 |
| 4572 | 25.0f, 26.0f, |
| 4573 | |
| 4574 | // Batch 0, Channel 1 |
| 4575 | 27.0f, 28.0f, |
| 4576 | |
| 4577 | // Batch 0, Channel 2 |
| 4578 | 29.0f, 30.0f, |
| 4579 | |
| 4580 | // Batch 1, Channel 0 |
| 4581 | 13.0f, 14.0f, |
| 4582 | |
| 4583 | // Batch 1, Channel 1 |
| 4584 | 15.0f, 16.0f, |
| 4585 | |
| 4586 | // Batch 1, Channel 2 |
| 4587 | 17.0f, 18.0f, |
| 4588 | |
| 4589 | // Batch 2, Channel 0 |
| 4590 | 31.0f, 32.0f, |
| 4591 | |
| 4592 | // Batch 2, Channel 1 |
| 4593 | 33.0f, 34.0f, |
| 4594 | |
| 4595 | // Batch 2, Channel 2 |
| 4596 | 35.0f, 36.0f |
| 4597 | })); |
| 4598 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4599 | armnn::TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4600 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4601 | |
| 4602 | std::vector<T> output; |
| 4603 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4604 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4605 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4606 | { input0.data(), input1.data(), input2.data() }, |
| 4607 | outputTensorInfo, |
| 4608 | output.data(), |
| 4609 | 0, |
| 4610 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4611 | |
| 4612 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4613 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4614 | // Batch 0, Channel 0 |
| 4615 | 1.0f, 2.0f, |
| 4616 | |
| 4617 | // Batch 0, Channel 1 |
| 4618 | 3.0f, 4.0f, |
| 4619 | |
| 4620 | // Batch 0, Channel 2 |
| 4621 | 5.0f, 6.0f, |
| 4622 | |
| 4623 | // Batch 1, Channel 0 |
| 4624 | 19.0f, 20.0f, |
| 4625 | |
| 4626 | // Batch 1, Channel 1 |
| 4627 | 21.0f, 22.0f, |
| 4628 | |
| 4629 | // Batch 1, Channel 2 |
| 4630 | 23.0f, 24.0f, |
| 4631 | |
| 4632 | // Batch 2, Channel 0 |
| 4633 | 7.0f, 8.0f, |
| 4634 | |
| 4635 | // Batch 2, Channel 1 |
| 4636 | 9.0f, 10.0f, |
| 4637 | |
| 4638 | // Batch 2, Channel 2 |
| 4639 | 11.0f, 12.0f, |
| 4640 | |
| 4641 | // Batch 3, Channel 0 |
| 4642 | 25.0f, 26.0f, |
| 4643 | |
| 4644 | // Batch 3, Channel 1 |
| 4645 | 27.0f, 28.0f, |
| 4646 | |
| 4647 | // Batch 3, Channel 2 |
| 4648 | 29.0f, 30.0f, |
| 4649 | |
| 4650 | // Batch 4, Channel 0 |
| 4651 | 13.0f, 14.0f, |
| 4652 | |
| 4653 | // Batch 4, Channel 1 |
| 4654 | 15.0f, 16.0f, |
| 4655 | |
| 4656 | // Batch 4, Channel 2 |
| 4657 | 17.0f, 18.0f, |
| 4658 | |
| 4659 | // Batch 5, Channel 0 |
| 4660 | 31.0f, 32.0f, |
| 4661 | |
| 4662 | // Batch 5, Channel 1 |
| 4663 | 33.0f, 34.0f, |
| 4664 | |
| 4665 | // Batch 5, Channel 2 |
| 4666 | 35.0f, 36.0f |
| 4667 | })); |
| 4668 | |
| 4669 | return result; |
| 4670 | } |
| 4671 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4672 | LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest( |
| 4673 | armnn::IWorkloadFactory& workloadFactory, |
| 4674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4675 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4676 | return Concatenation3dDim0DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4677 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4678 | } |
| 4679 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4680 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4681 | LayerTestResult<T, 3> Concatenation3dDim1DiffInputDimsTestImpl( |
| 4682 | armnn::IWorkloadFactory& workloadFactory, |
| 4683 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4684 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4685 | int32_t qOffset) |
| 4686 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4687 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4688 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4689 | // Batch 0, Channel 0 |
| 4690 | 1.0f, 2.0f, |
| 4691 | |
| 4692 | // Batch 0, Channel 1 |
| 4693 | 3.0f, 4.0f, |
| 4694 | |
| 4695 | // Batch 0, Channel 2 |
| 4696 | 5.0f, 6.0f, |
| 4697 | |
| 4698 | // Batch 1, Channel 0 |
| 4699 | 19.0f, 20.0f, |
| 4700 | |
| 4701 | // Batch 1, Channel 1 |
| 4702 | 21.0f, 22.0f, |
| 4703 | |
| 4704 | // Batch 1, Channel 2 |
| 4705 | 23.0f, 24.0f |
| 4706 | })); |
| 4707 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4708 | armnn::TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4709 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4710 | // Batch 0, Channel 0 |
| 4711 | 7.0f, 8.0f, |
| 4712 | |
| 4713 | // Batch 0, Channel 1 |
| 4714 | 9.0f, 10.0f, |
| 4715 | |
| 4716 | // Batch 0, Channel 2 |
| 4717 | 11.0f, 12.0f, |
| 4718 | |
| 4719 | // Batch 0, Channel 3 |
| 4720 | 25.0f, 26.0f, |
| 4721 | |
| 4722 | // Batch 1, Channel 0 |
| 4723 | 27.0f, 28.0f, |
| 4724 | |
| 4725 | // Batch 1, Channel 1 |
| 4726 | 29.0f, 30.0f, |
| 4727 | |
| 4728 | // Batch 1, Channel 2 |
| 4729 | 13.0f, 14.0f, |
| 4730 | |
| 4731 | // Batch 1, Channel 3 |
| 4732 | 15.0f, 16.0f, |
| 4733 | })); |
| 4734 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4735 | armnn::TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4736 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4737 | // Batch 0, Channel 0 |
| 4738 | 17.0f, 18.0f, |
| 4739 | |
| 4740 | // Batch 1, Channel 0 |
| 4741 | 31.0f, 32.0f, |
| 4742 | })); |
| 4743 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4744 | armnn::TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4745 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4746 | |
| 4747 | std::vector<T> output; |
| 4748 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4749 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4750 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4751 | { input0.data(), input1.data(), input2.data() }, |
| 4752 | outputTensorInfo, |
| 4753 | output.data(), |
| 4754 | 1, |
| 4755 | true); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4756 | |
| 4757 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4758 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4759 | // Batch 0, Channel 0 |
| 4760 | 1.0f, 2.0f, |
| 4761 | |
| 4762 | // Batch 0, Channel 1 |
| 4763 | 3.0f, 4.0f, |
| 4764 | |
| 4765 | // Batch 0, Channel 2 |
| 4766 | 5.0f, 6.0f, |
| 4767 | |
| 4768 | // Batch 0, Channel 3 |
| 4769 | 7.0f, 8.0f, |
| 4770 | |
| 4771 | // Batch 0, Channel 4 |
| 4772 | 9.0f, 10.0f, |
| 4773 | |
| 4774 | // Batch 0, Channel 5 |
| 4775 | 11.0f, 12.0f, |
| 4776 | |
| 4777 | // Batch 0, Channel 6 |
| 4778 | 25.0f, 26.0f, |
| 4779 | |
| 4780 | // Batch 0, Channel 7 |
| 4781 | 17.0f, 18.0f, |
| 4782 | |
| 4783 | // Batch 1, Channel 0 |
| 4784 | 19.0f, 20.0f, |
| 4785 | |
| 4786 | // Batch 1, Channel 1 |
| 4787 | 21.0f, 22.0f, |
| 4788 | |
| 4789 | // Batch 1, Channel 2 |
| 4790 | 23.0f, 24.0f, |
| 4791 | |
| 4792 | // Batch 1, Channel 3 |
| 4793 | 27.0f, 28.0f, |
| 4794 | |
| 4795 | // Batch 1, Channel 4 |
| 4796 | 29.0f, 30.0f, |
| 4797 | |
| 4798 | // Batch 1, Channel 5 |
| 4799 | 13.0f, 14.0f, |
| 4800 | |
| 4801 | // Batch 1, Channel 6 |
| 4802 | 15.0f, 16.0f, |
| 4803 | |
| 4804 | // Batch 1, Channel 7 |
| 4805 | 31.0f, 32.0f, |
| 4806 | })); |
| 4807 | |
| 4808 | return result; |
| 4809 | } |
| 4810 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4811 | LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest( |
| 4812 | armnn::IWorkloadFactory& workloadFactory, |
| 4813 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4814 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4815 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4816 | workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4817 | } |
| 4818 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4819 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4820 | LayerTestResult<T, 3> Concatenation3dDim2DiffInputDimsTestImpl( |
| 4821 | armnn::IWorkloadFactory& workloadFactory, |
| 4822 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4823 | bool useSubtensor, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4824 | float qScale, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4825 | int32_t qOffset) |
| 4826 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4827 | armnn::TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4828 | auto input0 = MakeTensor<T, 3>(input0TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4829 | // Batch 0, Channel 0 |
| 4830 | 1.0f, 2.0f, |
| 4831 | |
| 4832 | // Batch 0, Channel 1 |
| 4833 | 3.0f, 4.0f, |
| 4834 | |
| 4835 | // Batch 0, Channel 2 |
| 4836 | 5.0f, 6.0f, |
| 4837 | |
| 4838 | // Batch 1, Channel 0 |
| 4839 | 19.0f, 20.0f, |
| 4840 | |
| 4841 | // Batch 1, Channel 1 |
| 4842 | 21.0f, 22.0f, |
| 4843 | |
| 4844 | // Batch 1, Channel 2 |
| 4845 | 23.0f, 24.0f |
| 4846 | })); |
| 4847 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4848 | armnn::TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4849 | auto input1 = MakeTensor<T, 3>(input1TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4850 | // Batch 0, Channel 0 |
| 4851 | 7.0f, |
| 4852 | |
| 4853 | // Batch 0, Channel 1 |
| 4854 | 9.0f, |
| 4855 | |
| 4856 | // Batch 0, Channel 2 |
| 4857 | 11.0f, |
| 4858 | |
| 4859 | // Batch 1, Channel 0 |
| 4860 | 25.0f, |
| 4861 | |
| 4862 | // Batch 1, Channel 1 |
| 4863 | 27.0f, |
| 4864 | |
| 4865 | // Batch 1, Channel 2 |
| 4866 | 29.0f |
| 4867 | })); |
| 4868 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4869 | armnn::TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4870 | auto input2 = MakeTensor<T, 3>(input2TensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4871 | // Batch 0, Channel 0 |
| 4872 | 13.0f, 14.0f, 50.0f, |
| 4873 | |
| 4874 | // Batch 0, Channel 1 |
| 4875 | 15.0f, 16.0f, 51.0f, |
| 4876 | |
| 4877 | // Batch 0, Channel 2 |
| 4878 | 17.0f, 18.0f, 52.0f, |
| 4879 | |
| 4880 | // Batch 1, Channel 0 |
| 4881 | 31.0f, 32.0f, 53.0f, |
| 4882 | |
| 4883 | // Batch 1, Channel 1 |
| 4884 | 33.0f, 34.0f, 54.0f, |
| 4885 | |
| 4886 | // Batch 1, Channel 2 |
| 4887 | 35.0f, 36.0f, 55.0f, |
| 4888 | })); |
| 4889 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4890 | armnn::TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4891 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 4892 | |
| 4893 | std::vector<T> output; |
| 4894 | output.resize(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4895 | Concatenate<T>(workloadFactory, memoryManager, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4896 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 4897 | { input0.data(), input1.data(), input2.data() }, |
| 4898 | outputTensorInfo, |
| 4899 | output.data(), |
| 4900 | 2, |
| 4901 | useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4902 | |
| 4903 | result.output = MakeTensor<T, 3>(outputTensorInfo, output); |
| 4904 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4905 | // Batch 0, Channel 0 |
| 4906 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
| 4907 | |
| 4908 | // Batch 0, Channel 1 |
| 4909 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
| 4910 | |
| 4911 | // Batch 0, Channel 2 |
| 4912 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
| 4913 | |
| 4914 | // Batch 1, Channel 0 |
| 4915 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
| 4916 | |
| 4917 | // Batch 1, Channel 1 |
| 4918 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
| 4919 | |
| 4920 | // Batch 1, Channel 2 |
| 4921 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 4922 | })); |
| 4923 | |
| 4924 | return result; |
| 4925 | } |
| 4926 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 4927 | LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest( |
| 4928 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4929 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4930 | bool useSubtensor) |
| 4931 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4932 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::Float32>( |
| 4933 | workloadFactory, memoryManager, useSubtensor, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4934 | } |
| 4935 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4936 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4937 | LayerTestResult<T, 4> Concatenation4dTestImpl( |
| 4938 | armnn::IWorkloadFactory& workloadFactory, |
| 4939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4940 | const armnn::TensorInfo& outputTensorInfo, |
| 4941 | unsigned int dimension, |
| 4942 | bool useSubtensor, |
| 4943 | float qScale, |
| 4944 | int32_t qOffset) |
| 4945 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 4946 | armnn::TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4947 | |
| 4948 | auto input0 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4949 | 1.0f, 2.0f, |
| 4950 | 3.0f, 4.0f, |
| 4951 | 5.0f, 6.0f, |
| 4952 | 7.0f, 8.0f, |
| 4953 | 9.0f, 10.0f, |
| 4954 | 11.0f, 12.0f |
| 4955 | })); |
| 4956 | |
| 4957 | auto input1 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4958 | 11.0f, 12.0f, |
| 4959 | 13.0f, 14.0f, |
| 4960 | 15.0f, 16.0f, |
| 4961 | 17.0f, 18.0f, |
| 4962 | 19.0f, 20.0f, |
| 4963 | 21.0f, 22.0f |
| 4964 | })); |
| 4965 | |
| 4966 | auto input2 = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 4967 | 21.0f, 22.0f, |
| 4968 | 23.0f, 24.0f, |
| 4969 | 25.0f, 26.0f, |
| 4970 | 27.0f, 28.0f, |
| 4971 | 29.0f, 30.0f, |
| 4972 | 31.0f, 32.0f |
| 4973 | })); |
| 4974 | |
| 4975 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 4976 | |
| 4977 | std::vector<T> output; |
| 4978 | output.resize(outputTensorInfo.GetNumElements()); |
| 4979 | |
| 4980 | Concatenate<T>(workloadFactory, |
| 4981 | memoryManager, |
| 4982 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 4983 | {input0.data(), input1.data(), input2.data()}, |
| 4984 | outputTensorInfo, |
| 4985 | output.data(), |
| 4986 | dimension, |
| 4987 | useSubtensor); |
| 4988 | |
| 4989 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 4990 | return result; |
| 4991 | } |
| 4992 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 4993 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 4994 | LayerTestResult<T, 4> Concatenation4dDim0TestImpl( |
| 4995 | armnn::IWorkloadFactory& workloadFactory, |
| 4996 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 4997 | float qScale, |
| 4998 | int32_t qOffset) |
| 4999 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5000 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5001 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5002 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5003 | workloadFactory, memoryManager, outputTensorInfo, 0, true, qScale, qOffset); |
| 5004 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5005 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5006 | 1.0f, 2.0f, |
| 5007 | 3.0f, 4.0f, |
| 5008 | 5.0f, 6.0f, |
| 5009 | 7.0f, 8.0f, |
| 5010 | 9.0f, 10.0f, |
| 5011 | 11.0f, 12.0f, |
| 5012 | |
| 5013 | 11.0f, 12.0f, |
| 5014 | 13.0f, 14.0f, |
| 5015 | 15.0f, 16.0f, |
| 5016 | 17.0f, 18.0f, |
| 5017 | 19.0f, 20.0f, |
| 5018 | 21.0f, 22.0f, |
| 5019 | |
| 5020 | 21.0f, 22.0f, |
| 5021 | 23.0f, 24.0f, |
| 5022 | 25.0f, 26.0f, |
| 5023 | 27.0f, 28.0f, |
| 5024 | 29.0f, 30.0f, |
| 5025 | 31.0f, 32.0f |
| 5026 | })); |
| 5027 | return result; |
| 5028 | } |
| 5029 | |
| 5030 | LayerTestResult<float, 4> Concatenation4dDim0Test( |
| 5031 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5032 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5033 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5034 | return Concatenation4dDim0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5035 | } |
| 5036 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5037 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5038 | LayerTestResult<T, 4> Concatenation4dDim1TestImpl( |
| 5039 | armnn::IWorkloadFactory& workloadFactory, |
| 5040 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5041 | float qScale, |
| 5042 | int32_t qOffset) |
| 5043 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5044 | armnn::TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5045 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5046 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5047 | workloadFactory, memoryManager, outputTensorInfo, 1, true, qScale, qOffset); |
| 5048 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5049 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5050 | 1.0f, 2.0f, |
| 5051 | 3.0f, 4.0f, |
| 5052 | 5.0f, 6.0f, |
| 5053 | 7.0f, 8.0f, |
| 5054 | 9.0f, 10.0f, |
| 5055 | 11.0f, 12.0f, |
| 5056 | |
| 5057 | 11.0f, 12.0f, |
| 5058 | 13.0f, 14.0f, |
| 5059 | 15.0f, 16.0f, |
| 5060 | 17.0f, 18.0f, |
| 5061 | 19.0f, 20.0f, |
| 5062 | 21.0f, 22.0f, |
| 5063 | |
| 5064 | 21.0f, 22.0f, |
| 5065 | 23.0f, 24.0f, |
| 5066 | 25.0f, 26.0f, |
| 5067 | 27.0f, 28.0f, |
| 5068 | 29.0f, 30.0f, |
| 5069 | 31.0f, 32.0f |
| 5070 | })); |
| 5071 | |
| 5072 | return result; |
| 5073 | } |
| 5074 | |
| 5075 | LayerTestResult<float, 4> Concatenation4dDim1Test( |
| 5076 | armnn::IWorkloadFactory& workloadFactory, |
| 5077 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5078 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5079 | return Concatenation4dDim1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5080 | } |
| 5081 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5082 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5083 | LayerTestResult<T, 4> Concatenation4dDim2TestImpl( |
| 5084 | armnn::IWorkloadFactory& workloadFactory, |
| 5085 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5086 | float qScale, |
| 5087 | int32_t qOffset) |
| 5088 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5089 | armnn::TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5090 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5091 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5092 | workloadFactory, memoryManager, outputTensorInfo, 2, true, qScale, qOffset); |
| 5093 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5094 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5095 | 1.0f, 2.0f, |
| 5096 | 3.0f, 4.0f, |
| 5097 | 11.0f, 12.0f, |
| 5098 | 13.0f, 14.0f, |
| 5099 | 21.0f, 22.0f, |
| 5100 | 23.0f, 24.0f, |
| 5101 | |
| 5102 | 5.0f, 6.0f, |
| 5103 | 7.0f, 8.0f, |
| 5104 | 15.0f, 16.0f, |
| 5105 | 17.0f, 18.0f, |
| 5106 | 25.0f, 26.0f, |
| 5107 | 27.0f, 28.0f, |
| 5108 | |
| 5109 | 9.0f, 10.0f, |
| 5110 | 11.0f, 12.0f, |
| 5111 | 19.0f, 20.0f, |
| 5112 | 21.0f, 22.0f, |
| 5113 | 29.0f, 30.0f, |
| 5114 | 31.0f, 32.0f |
| 5115 | })); |
| 5116 | |
| 5117 | return result; |
| 5118 | } |
| 5119 | |
| 5120 | LayerTestResult<float, 4> Concatenation4dDim2Test( |
| 5121 | armnn::IWorkloadFactory& workloadFactory, |
| 5122 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5123 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5124 | return Concatenation4dDim2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5125 | } |
| 5126 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5127 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5128 | LayerTestResult<T, 4> Concatenation4dDim3TestImpl( |
| 5129 | armnn::IWorkloadFactory& workloadFactory, |
| 5130 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5131 | float qScale, |
| 5132 | int32_t qOffset, |
| 5133 | bool useSubtensor) |
| 5134 | { |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5135 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5136 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5137 | LayerTestResult<T, 4> result = Concatenation4dTestImpl<ArmnnType>( |
| 5138 | workloadFactory, memoryManager, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
| 5139 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5140 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5141 | 1.0f, 2.0f, |
| 5142 | 11.0f, 12.0f, |
| 5143 | 21.0f, 22.0f, |
| 5144 | 3.0f, 4.0f, |
| 5145 | 13.0f, 14.0f, |
| 5146 | 23.0f, 24.0f, |
| 5147 | |
| 5148 | 5.0f, 6.0f, |
| 5149 | 15.0f, 16.0f, |
| 5150 | 25.0f, 26.0f, |
| 5151 | 7.0f, 8.0f, |
| 5152 | 17.0f, 18.0f, |
| 5153 | 27.0f, 28.0f, |
| 5154 | |
| 5155 | 9.0f, 10.0f, |
| 5156 | 19.0f, 20.0f, |
| 5157 | 29.0f, 30.0f, |
| 5158 | 11.0f, 12.0f, |
| 5159 | 21.0f, 22.0f, |
| 5160 | 31.0f, 32.0f |
| 5161 | })); |
| 5162 | |
| 5163 | return result; |
| 5164 | } |
| 5165 | |
| 5166 | LayerTestResult<float, 4> Concatenation4dDim3Test( |
| 5167 | armnn::IWorkloadFactory& workloadFactory, |
| 5168 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5169 | bool useSubtensor) |
| 5170 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5171 | return Concatenation4dDim3TestImpl<armnn::DataType::Float32>( |
| 5172 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5173 | } |
| 5174 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5175 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5176 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim0TestImpl( |
| 5177 | armnn::IWorkloadFactory& workloadFactory, |
| 5178 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5179 | float qScale, |
| 5180 | int32_t qOffset) |
| 5181 | { |
| 5182 | unsigned int dimension = 0; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5183 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5184 | |
| 5185 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5186 | 1.0f, 2.0f, |
| 5187 | 3.0f, 4.0f, |
| 5188 | 5.0f, 6.0f, |
| 5189 | 7.0f, 8.0f, |
| 5190 | 9.0f, 10.0f, |
| 5191 | 11.0f, 12.0f |
| 5192 | })); |
| 5193 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5194 | armnn::TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5195 | |
| 5196 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5197 | 11.0f, 12.0f, |
| 5198 | 13.0f, 14.0f, |
| 5199 | 15.0f, 16.0f, |
| 5200 | 17.0f, 18.0f, |
| 5201 | 19.0f, 20.0f, |
| 5202 | 21.0f, 22.0f, |
| 5203 | |
| 5204 | 21.0f, 22.0f, |
| 5205 | 23.0f, 24.0f, |
| 5206 | 25.0f, 26.0f, |
| 5207 | 27.0f, 28.0f, |
| 5208 | 29.0f, 30.0f, |
| 5209 | 31.0f, 32.0f |
| 5210 | |
| 5211 | })); |
| 5212 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5213 | armnn::TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5214 | |
| 5215 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5216 | |
| 5217 | std::vector<T> output; |
| 5218 | output.resize(outputTensorInfo.GetNumElements()); |
| 5219 | Concatenate<T>(workloadFactory, |
| 5220 | memoryManager, |
| 5221 | {inputTensorInfo0, inputTensorInfo1}, |
| 5222 | {input0.data(), input1.data()}, |
| 5223 | outputTensorInfo, |
| 5224 | output.data(), |
| 5225 | dimension, |
| 5226 | true); |
| 5227 | |
| 5228 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5229 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5230 | 1.0f, 2.0f, |
| 5231 | 3.0f, 4.0f, |
| 5232 | 5.0f, 6.0f, |
| 5233 | 7.0f, 8.0f, |
| 5234 | 9.0f, 10.0f, |
| 5235 | 11.0f, 12.0f, |
| 5236 | |
| 5237 | 11.0f, 12.0f, |
| 5238 | 13.0f, 14.0f, |
| 5239 | 15.0f, 16.0f, |
| 5240 | 17.0f, 18.0f, |
| 5241 | 19.0f, 20.0f, |
| 5242 | 21.0f, 22.0f, |
| 5243 | |
| 5244 | 21.0f, 22.0f, |
| 5245 | 23.0f, 24.0f, |
| 5246 | 25.0f, 26.0f, |
| 5247 | 27.0f, 28.0f, |
| 5248 | 29.0f, 30.0f, |
| 5249 | 31.0f, 32.0f |
| 5250 | })); |
| 5251 | |
| 5252 | return result; |
| 5253 | } |
| 5254 | |
| 5255 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim0Test( |
| 5256 | armnn::IWorkloadFactory& workloadFactory, |
| 5257 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5258 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5259 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::Float32>( |
| 5260 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5261 | } |
| 5262 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5263 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5264 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim1TestImpl( |
| 5265 | armnn::IWorkloadFactory& workloadFactory, |
| 5266 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5267 | float qScale, |
| 5268 | int32_t qOffset) |
| 5269 | { |
| 5270 | unsigned int dimension = 1; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5271 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5272 | |
| 5273 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5274 | 1.0f, 2.0f, |
| 5275 | 3.0f, 4.0f, |
| 5276 | 5.0f, 6.0f, |
| 5277 | 7.0f, 8.0f, |
| 5278 | 9.0f, 10.0f, |
| 5279 | 11.0f, 12.0f |
| 5280 | })); |
| 5281 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5282 | armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5283 | |
| 5284 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5285 | 11.0f, 12.0f, |
| 5286 | 13.0f, 14.0f, |
| 5287 | 15.0f, 16.0f, |
| 5288 | 17.0f, 18.0f, |
| 5289 | |
| 5290 | })); |
| 5291 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5292 | armnn::TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5293 | |
| 5294 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5295 | |
| 5296 | std::vector<T> output; |
| 5297 | output.resize(outputTensorInfo.GetNumElements()); |
| 5298 | Concatenate<T>(workloadFactory, |
| 5299 | memoryManager, |
| 5300 | {inputTensorInfo0, inputTensorInfo1}, |
| 5301 | {input0.data(), input1.data()}, |
| 5302 | outputTensorInfo, |
| 5303 | output.data(), |
| 5304 | dimension, |
| 5305 | true); |
| 5306 | |
| 5307 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5308 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5309 | 1.0f, 2.0f, |
| 5310 | 3.0f, 4.0f, |
| 5311 | 5.0f, 6.0f, |
| 5312 | 7.0f, 8.0f, |
| 5313 | 9.0f, 10.0f, |
| 5314 | 11.0f, 12.0f, |
| 5315 | 11.0f, 12.0f, |
| 5316 | 13.0f, 14.0f, |
| 5317 | 15.0f, 16.0f, |
| 5318 | 17.0f, 18.0f |
| 5319 | })); |
| 5320 | |
| 5321 | return result; |
| 5322 | } |
| 5323 | |
| 5324 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim1Test( |
| 5325 | armnn::IWorkloadFactory& workloadFactory, |
| 5326 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5327 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5328 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::Float32>( |
| 5329 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5330 | } |
| 5331 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5332 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5333 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim2TestImpl( |
| 5334 | armnn::IWorkloadFactory& workloadFactory, |
| 5335 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5336 | float qScale, |
| 5337 | int32_t qOffset) |
| 5338 | { |
| 5339 | unsigned int dimension = 2; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5340 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5341 | |
| 5342 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5343 | 1.0f, 2.0f, |
| 5344 | 3.0f, 4.0f, |
| 5345 | 5.0f, 6.0f, |
| 5346 | 7.0f, 8.0f, |
| 5347 | 9.0f, 10.0f, |
| 5348 | 11.0f, 12.0f |
| 5349 | })); |
| 5350 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5351 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5352 | |
| 5353 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5354 | 11.0f, 12.0f, |
| 5355 | 13.0f, 14.0f, |
| 5356 | 15.0f, 16.0f, |
| 5357 | 17.0f, 18.0f, |
| 5358 | 19.0f, 20.0f, |
| 5359 | 21.0f, 22.0f, |
| 5360 | 23.0f, 24.0f, |
| 5361 | 25.0f, 26.0f, |
| 5362 | 27.0f, 28.0f |
| 5363 | })); |
| 5364 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5365 | armnn::TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5366 | |
| 5367 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5368 | |
| 5369 | std::vector<T> output; |
| 5370 | output.resize(outputTensorInfo.GetNumElements()); |
| 5371 | Concatenate<T>(workloadFactory, |
| 5372 | memoryManager, |
| 5373 | {inputTensorInfo0, inputTensorInfo1}, |
| 5374 | {input0.data(), input1.data()}, |
| 5375 | outputTensorInfo, |
| 5376 | output.data(), |
| 5377 | dimension, |
| 5378 | true); |
| 5379 | |
| 5380 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5381 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5382 | 1.0f, 2.0f, |
| 5383 | 3.0f, 4.0f, |
| 5384 | 11.0f, 12.0f, |
| 5385 | 13.0f, 14.0f, |
| 5386 | 15.0f, 16.0f, |
| 5387 | |
| 5388 | 5.0f, 6.0f, |
| 5389 | 7.0f, 8.0f, |
| 5390 | 17.0f, 18.0f, |
| 5391 | 19.0f, 20.0f, |
| 5392 | 21.0f, 22.0f, |
| 5393 | |
| 5394 | 9.0f, 10.0f, |
| 5395 | 11.0f, 12.0f, |
| 5396 | 23.0f, 24.0f, |
| 5397 | 25.0f, 26.0f, |
| 5398 | 27.0f, 28.0f |
| 5399 | })); |
| 5400 | |
| 5401 | return result; |
| 5402 | } |
| 5403 | |
| 5404 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim2Test( |
| 5405 | armnn::IWorkloadFactory& workloadFactory, |
| 5406 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 5407 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5408 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::Float32>( |
| 5409 | workloadFactory, memoryManager, 0.0f, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5410 | } |
| 5411 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5412 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5413 | LayerTestResult<T, 4> Concatenation4dDiffShapeDim3TestImpl( |
| 5414 | armnn::IWorkloadFactory& workloadFactory, |
| 5415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5416 | float qScale, |
| 5417 | int32_t qOffset, |
| 5418 | bool useSubtensor) |
| 5419 | { |
| 5420 | unsigned int dimension = 3; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5421 | armnn::TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5422 | |
| 5423 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, QuantizedVector<T>(qScale, qOffset, { |
| 5424 | 1.0f, 2.0f, |
| 5425 | 3.0f, 4.0f, |
| 5426 | 5.0f, 6.0f, |
| 5427 | 7.0f, 8.0f, |
| 5428 | 9.0f, 10.0f, |
| 5429 | 11.0f, 12.0f |
| 5430 | })); |
| 5431 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5432 | armnn::TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5433 | |
| 5434 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, QuantizedVector<T>(qScale, qOffset, { |
| 5435 | 11.0f, 12.0f, 13.0f, |
| 5436 | 14.0f, 15.0f, 16.0f, |
| 5437 | |
| 5438 | 17.0f, 18.0f, 19.0f, |
| 5439 | 20.0f, 21.0f, 22.0f, |
| 5440 | |
| 5441 | 23.0f, 24.0f, 25.0f, |
| 5442 | 26.0f, 27.0f, 28.0f |
| 5443 | })); |
| 5444 | |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 5445 | armnn::TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 5446 | |
| 5447 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5448 | |
| 5449 | std::vector<T> output; |
| 5450 | output.resize(outputTensorInfo.GetNumElements()); |
| 5451 | Concatenate<T>(workloadFactory, |
| 5452 | memoryManager, |
| 5453 | {inputTensorInfo0, inputTensorInfo1}, |
| 5454 | {input0.data(), input1.data()}, |
| 5455 | outputTensorInfo, |
| 5456 | output.data(), |
| 5457 | dimension, |
| 5458 | useSubtensor); |
| 5459 | |
| 5460 | result.output = MakeTensor<T, 4>(outputTensorInfo, output); |
| 5461 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, { |
| 5462 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 5463 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 5464 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 5465 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 5466 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 5467 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 5468 | })); |
| 5469 | |
| 5470 | return result; |
| 5471 | } |
| 5472 | |
| 5473 | LayerTestResult<float, 4> Concatenation4dDiffShapeDim3Test( |
| 5474 | armnn::IWorkloadFactory& workloadFactory, |
| 5475 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5476 | bool useSubtensor) |
| 5477 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5478 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::Float32>( |
| 5479 | workloadFactory, memoryManager, 0.0f, 0, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5480 | } |
| 5481 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5482 | LayerTestResult<float, 2> FakeQuantizationTest( |
| 5483 | armnn::IWorkloadFactory& workloadFactory, |
| 5484 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5485 | { |
| 5486 | constexpr unsigned int width = 2; |
| 5487 | constexpr unsigned int height = 3; |
| 5488 | |
| 5489 | const armnn::TensorInfo tensorInfo({height, width }, |
| 5490 | armnn::DataType::Float32); |
| 5491 | auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5492 | -10.0f, -5.0f, |
| 5493 | 0.0f, 5.0f, |
| 5494 | 10.0f, 10.0f |
| 5495 | })); |
| 5496 | |
| 5497 | LayerTestResult<float, 2> ret(tensorInfo); |
| 5498 | |
| 5499 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5500 | |
| 5501 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); |
| 5502 | |
| 5503 | armnn::FakeQuantizationQueueDescriptor data; |
| 5504 | armnn::WorkloadInfo info; |
| 5505 | |
| 5506 | AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); |
| 5507 | AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); |
| 5508 | float min = -10.f; |
| 5509 | float max = 10.f; |
| 5510 | |
| 5511 | data.m_Parameters.m_Min = min; |
| 5512 | data.m_Parameters.m_Max = max; |
| 5513 | |
| 5514 | armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); |
| 5515 | armnn::FakeQuantizationQueueDescriptor refData = data; |
| 5516 | armnn::WorkloadInfo refInfo = info; |
| 5517 | SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); |
| 5518 | |
| 5519 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); |
| 5520 | |
| 5521 | inputHandle->Allocate(); |
| 5522 | outputHandle->Allocate(); |
| 5523 | |
| 5524 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); |
| 5525 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5526 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5527 | workload->Execute(); |
| 5528 | |
| 5529 | CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); |
| 5530 | |
| 5531 | ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ |
| 5532 | 0.0f, 63.0f, |
| 5533 | 128.0f, 191.0f, |
| 5534 | 255.0f, 255.0f |
| 5535 | })); |
| 5536 | return ret; |
| 5537 | } |
| 5538 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5539 | namespace |
| 5540 | { |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5541 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 5542 | LayerTestResult<T, 4> L2NormalizationTestImpl( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5543 | armnn::IWorkloadFactory& workloadFactory, |
| 5544 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5545 | const armnn::TensorShape& inputOutputTensorShape, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 5546 | float scale, |
| 5547 | int32_t offset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5548 | const std::vector<float>& inputValues, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 5549 | float outScale, |
| 5550 | int32_t outOffset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5551 | const std::vector<float>& expectedOutputValues, |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 5552 | const armnn::DataLayout layout, |
| 5553 | float epsilon = 1e-12f) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5554 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 5555 | const armnn::TensorInfo inputTensorInfo(inputOutputTensorShape, ArmnnType, scale, offset); |
| 5556 | const armnn::TensorInfo outputTensorInfo(inputOutputTensorShape, ArmnnType, outScale, outOffset); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5557 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5558 | // at this point if we require it permute the input data |
| 5559 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
| 5560 | std::vector<float> inputData = inputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5561 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5562 | { |
| 5563 | std::vector<float> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 5564 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5565 | inputData = tmp; |
| 5566 | } |
| 5567 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5568 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>( |
| 5569 | inputTensorInfo.GetQuantizationScale(), |
| 5570 | inputTensorInfo.GetQuantizationOffset(), |
| 5571 | inputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5572 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5573 | std::vector<float> expectedOutputData = expectedOutputValues; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5574 | if (layout == armnn::DataLayout::NHWC) |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5575 | { |
| 5576 | std::vector<float> tmp(expectedOutputData.size()); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5577 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, expectedOutputData.data(), tmp.data(), |
| 5578 | sizeof(float)); |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 5579 | expectedOutputData = tmp; |
| 5580 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 5581 | |
| 5582 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5583 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>( |
| 5584 | outputTensorInfo.GetQuantizationScale(), |
| 5585 | outputTensorInfo.GetQuantizationOffset(), |
| 5586 | expectedOutputData)); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5587 | |
| 5588 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5589 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5590 | |
| 5591 | armnn::L2NormalizationQueueDescriptor descriptor; |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 5592 | descriptor.m_Parameters.m_Eps = epsilon; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 5593 | descriptor.m_Parameters.m_DataLayout = layout; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5594 | armnn::WorkloadInfo info; |
| 5595 | |
| 5596 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5597 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5598 | |
| 5599 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateL2Normalization(descriptor, info); |
| 5600 | |
| 5601 | inputHandle->Allocate(); |
| 5602 | outputHandle->Allocate(); |
| 5603 | |
| 5604 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 5605 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5606 | workload->PostAllocationConfigure(); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5607 | ExecuteWorkload(*workload, memoryManager); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 5608 | |
| 5609 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 5610 | |
| 5611 | return result; |
| 5612 | } |
| 5613 | |
| 5614 | float CalcInvL2Norm(std::initializer_list<float> elements) |
| 5615 | { |
| 5616 | const float reduction = std::accumulate(elements.begin(), elements.end(), 0.0f, |
| 5617 | [](float acc, float element) { return acc + element * element; }); |
| 5618 | return 1.0f / sqrtf(reduction); |
| 5619 | } |
| 5620 | |
| 5621 | } // anonymous namespace |
| 5622 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5623 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5624 | LayerTestResult<T, 2> Pad2dTestCommon( |
| 5625 | armnn::IWorkloadFactory& workloadFactory, |
| 5626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5627 | float qScale, |
| 5628 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5629 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5630 | const armnn::TensorShape inputShape{ 3, 3 }; |
| 5631 | const armnn::TensorShape outputShape{ 7, 7 }; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5632 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5633 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5634 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
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> inputValues( |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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 | // Height (3) x Width (3) |
| 5640 | 4, 8, 6, |
| 5641 | 7, 4, 4, |
| 5642 | 3, 2, 4 |
| 5643 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5644 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5645 | std::vector<T> expectedOutputValues( |
| 5646 | QuantizedVector<T>(qScale, qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5647 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5648 | 0, 0, 0, 0, 0, 0, 0, |
| 5649 | 0, 0, 0, 0, 0, 0, 0, |
| 5650 | 0, 0, 4, 8, 6, 0, 0, |
| 5651 | 0, 0, 7, 4, 4, 0, 0, |
| 5652 | 0, 0, 3, 2, 4, 0, 0, |
| 5653 | 0, 0, 0, 0, 0, 0, 0, |
| 5654 | 0, 0, 0, 0, 0, 0, 0 |
| 5655 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5656 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5657 | auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5658 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5659 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 5660 | result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
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 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5663 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
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 | armnn::PadQueueDescriptor descriptor; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5666 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5667 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5668 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5669 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5670 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5671 | descriptor.m_Parameters.m_PadList = PadList; |
| 5672 | armnn::WorkloadInfo info; |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5673 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5674 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5675 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5676 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5677 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5678 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5679 | inputHandle->Allocate(); |
| 5680 | outputHandle->Allocate(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5681 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5682 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5683 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5684 | workload->PostAllocationConfigure(); |
| 5685 | workload->Execute(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5686 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5687 | CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5688 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5689 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5690 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5691 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5692 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5693 | LayerTestResult<T, 3> Pad3dTestCommon( |
| 5694 | armnn::IWorkloadFactory& workloadFactory, |
| 5695 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5696 | float qScale, |
| 5697 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5698 | { |
| 5699 | const armnn::TensorShape inputShape{ 2, 2, 2 }; |
| 5700 | const armnn::TensorShape outputShape{ 3, 5, 6 }; |
| 5701 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5702 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5703 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5704 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5705 | std::vector<T> inputValues( |
| 5706 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5707 | { |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5708 | // Channel 0, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5709 | 0, 4, |
| 5710 | 2, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5711 | |
| 5712 | // Channel 1, Height (2) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5713 | 6, 1, |
| 5714 | 5, 2 |
| 5715 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5716 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5717 | std::vector<T> expectedOutputValues( |
| 5718 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5719 | { |
| 5720 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5721 | 0, 0, 0, 0, 0, 0, |
| 5722 | 0, 0, 0, 0, 0, 0, |
| 5723 | 0, 0, 0, 4, 0, 0, |
| 5724 | 0, 0, 2, 5, 0, 0, |
| 5725 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5726 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5727 | 0, 0, 0, 0, 0, 0, |
| 5728 | 0, 0, 0, 0, 0, 0, |
| 5729 | 0, 0, 6, 1, 0, 0, |
| 5730 | 0, 0, 5, 2, 0, 0, |
| 5731 | 0, 0, 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5732 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5733 | 0, 0, 0, 0, 0, 0, |
| 5734 | 0, 0, 0, 0, 0, 0, |
| 5735 | 0, 0, 0, 0, 0, 0, |
| 5736 | 0, 0, 0, 0, 0, 0, |
| 5737 | 0, 0, 0, 0, 0, 0 |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5738 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5739 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5740 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5741 | auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5742 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5743 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 5744 | result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5745 | |
| 5746 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5747 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5748 | |
| 5749 | armnn::PadQueueDescriptor descriptor; |
| 5750 | |
| 5751 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5752 | PadList.push_back(std::pair<unsigned int, unsigned int>(0,1)); |
| 5753 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5754 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,2)); |
| 5755 | |
| 5756 | descriptor.m_Parameters.m_PadList = PadList; |
| 5757 | armnn::WorkloadInfo info; |
| 5758 | |
| 5759 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5760 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5761 | |
| 5762 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 5763 | |
| 5764 | inputHandle->Allocate(); |
| 5765 | outputHandle->Allocate(); |
| 5766 | |
| 5767 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); |
| 5768 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 5769 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5770 | workload->Execute(); |
| 5771 | |
| 5772 | CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); |
| 5773 | |
| 5774 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5775 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5776 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5777 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 5778 | LayerTestResult<T, 4> Pad4dTestCommon( |
| 5779 | armnn::IWorkloadFactory& workloadFactory, |
| 5780 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 5781 | float qScale, |
| 5782 | int32_t qOffset) |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5783 | { |
| 5784 | const armnn::TensorShape inputShape{ 2, 2, 3, 2 }; |
| 5785 | const armnn::TensorShape outputShape{ 4, 5, 7, 4 }; |
| 5786 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 5787 | const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| 5788 | const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5789 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5790 | std::vector<T> inputValues( |
| 5791 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5792 | { |
| 5793 | // Batch 0, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5794 | 0, 1, |
| 5795 | 2, 3, |
| 5796 | 4, 5, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5797 | |
| 5798 | // Batch 0, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5799 | 6, 7, |
| 5800 | 8, 9, |
| 5801 | 10, 11, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5802 | |
| 5803 | // Batch 1, Channel 0, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5804 | 12, 13, |
| 5805 | 14, 15, |
| 5806 | 16, 17, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5807 | |
| 5808 | // Batch 1, Channel 1, Height (3) x Width (2) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5809 | 18, 19, |
| 5810 | 20, 21, |
| 5811 | 22, 23 |
| 5812 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5813 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5814 | std::vector<T> expectedOutputValues( |
| 5815 | QuantizedVector<T>(qScale,qOffset, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5816 | { |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5823 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5824 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5831 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5832 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5839 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5840 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5847 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5848 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5855 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5856 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5863 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5864 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5865 | 0, 0, 0, 0, |
| 5866 | 0, 0, 0, 0, |
| 5867 | 0, 0, 0, 0, |
| 5868 | 0, 0, 0, 0, |
| 5869 | 0, 0, 0, 0, |
| 5870 | 0, 0, 0, 0, |
| 5871 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5872 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5873 | 0, 0, 0, 0, |
| 5874 | 0, 0, 0, 0, |
| 5875 | 0, 0, 0, 0, |
| 5876 | 0, 0, 1, 0, |
| 5877 | 0, 2, 3, 0, |
| 5878 | 0, 4, 5, 0, |
| 5879 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5880 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5881 | 0, 0, 0, 0, |
| 5882 | 0, 0, 0, 0, |
| 5883 | 0, 0, 0, 0, |
| 5884 | 0, 6, 7, 0, |
| 5885 | 0, 8, 9, 0, |
| 5886 | 0, 10, 11, 0, |
| 5887 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5888 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5895 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5896 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5903 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5904 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5905 | 0, 0, 0, 0, |
| 5906 | 0, 0, 0, 0, |
| 5907 | 0, 0, 0, 0, |
| 5908 | 0, 0, 0, 0, |
| 5909 | 0, 0, 0, 0, |
| 5910 | 0, 0, 0, 0, |
| 5911 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5912 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5913 | 0, 0, 0, 0, |
| 5914 | 0, 0, 0, 0, |
| 5915 | 0, 0, 0, 0, |
| 5916 | 0, 12, 13, 0, |
| 5917 | 0, 14, 15, 0, |
| 5918 | 0, 16, 17, 0, |
| 5919 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5920 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5921 | 0, 0, 0, 0, |
| 5922 | 0, 0, 0, 0, |
| 5923 | 0, 0, 0, 0, |
| 5924 | 0, 18, 19, 0, |
| 5925 | 0, 20, 21, 0, |
| 5926 | 0, 22, 23, 0, |
| 5927 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5928 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5935 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5936 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5943 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5944 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5951 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5952 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 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, |
| 5959 | 0, 0, 0, 0, |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5960 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5961 | 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 | 0, 0, 0, 0, |
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 | 0, 0, 0, 0, |
| 5970 | 0, 0, 0, 0, |
| 5971 | 0, 0, 0, 0, |
| 5972 | 0, 0, 0, 0, |
| 5973 | 0, 0, 0, 0, |
| 5974 | 0, 0, 0, 0, |
| 5975 | 0, 0, 0, 0 |
| 5976 | })); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5977 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5978 | auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5979 | |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 5980 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 5981 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues)); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 5982 | |
| 5983 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 5984 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 5985 | |
| 5986 | armnn::PadQueueDescriptor descriptor; |
| 5987 | |
| 5988 | std::vector<std::pair<unsigned int, unsigned int>> PadList; |
| 5989 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5990 | PadList.push_back(std::pair<unsigned int, unsigned int>(2,1)); |
| 5991 | PadList.push_back(std::pair<unsigned int, unsigned int>(3,1)); |
| 5992 | PadList.push_back(std::pair<unsigned int, unsigned int>(1,1)); |
| 5993 | |
| 5994 | descriptor.m_Parameters.m_PadList = PadList; |
| 5995 | armnn::WorkloadInfo info; |
| 5996 | |
| 5997 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 5998 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 5999 | |
| 6000 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info); |
| 6001 | |
| 6002 | inputHandle->Allocate(); |
| 6003 | outputHandle->Allocate(); |
| 6004 | |
| 6005 | CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); |
| 6006 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6007 | workload->PostAllocationConfigure(); |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6008 | workload->Execute(); |
| 6009 | |
| 6010 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6011 | |
| 6012 | return result; |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6013 | } |
| 6014 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6015 | LayerTestResult<uint8_t, 2> PadUint82dTest( |
| 6016 | armnn::IWorkloadFactory& workloadFactory, |
| 6017 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6018 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6019 | return Pad2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6020 | } |
| 6021 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6022 | LayerTestResult<uint8_t, 3> PadUint83dTest( |
| 6023 | armnn::IWorkloadFactory& workloadFactory, |
| 6024 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6025 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6026 | return Pad3dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6027 | } |
| 6028 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6029 | LayerTestResult<uint8_t, 4> PadUint84dTest( |
| 6030 | armnn::IWorkloadFactory& workloadFactory, |
| 6031 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6032 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6033 | return Pad4dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6034 | } |
| 6035 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6036 | LayerTestResult<float, 2> PadFloat322dTest( |
| 6037 | armnn::IWorkloadFactory& workloadFactory, |
| 6038 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6039 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6040 | return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6041 | } |
| 6042 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6043 | LayerTestResult<float, 3> PadFloat323dTest( |
| 6044 | armnn::IWorkloadFactory& workloadFactory, |
| 6045 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6046 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6047 | return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6048 | } |
| 6049 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6050 | LayerTestResult<float, 4> PadFloat324dTest( |
| 6051 | armnn::IWorkloadFactory& workloadFactory, |
| 6052 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6053 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6054 | return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
Mohamed Nour Abouelseoud | dd6acea | 2018-10-18 12:26:19 +0100 | [diff] [blame] | 6055 | } |
Mohamed Nour Abouelseoud | 7420e55 | 2018-10-12 12:26:24 +0100 | [diff] [blame] | 6056 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6057 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6058 | LayerTestResult<T, 4> L2NormalizationEpsilonTestCommon( |
| 6059 | armnn::IWorkloadFactory& workloadFactory, |
| 6060 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6061 | float scale, |
| 6062 | int32_t offset, |
| 6063 | float outScale, |
| 6064 | int32_t outOffset, |
| 6065 | const armnn::DataLayout layout, |
| 6066 | float epsilon) |
| 6067 | { |
| 6068 | // Width: 1 |
| 6069 | // Height: 1 |
| 6070 | // Channels: 3 |
| 6071 | // BatchSize: 1 |
| 6072 | unsigned int numberOfBatches = 1; |
| 6073 | unsigned int numberOfChannels = 3; |
| 6074 | unsigned int height = 1; |
| 6075 | unsigned int width = 1; |
| 6076 | |
| 6077 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
| 6078 | numberOfBatches, numberOfChannels, height, width, layout); |
| 6079 | |
| 6080 | // 0.0000001^2 + 0.00000002^2 + 0.00000003^2 < 1e-12 |
| 6081 | std::vector<float> inputValues |
| 6082 | { |
| 6083 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6084 | 0.00000001f, |
| 6085 | |
| 6086 | // Batch 0, Channel 1, Height (1) x Width (1) |
| 6087 | 0.00000002f, |
| 6088 | |
| 6089 | // Batch 0, Channel 2, Height (1) x Width (1) |
| 6090 | 0.00000003f, |
| 6091 | }; |
| 6092 | |
| 6093 | const float approxInvL2Norm = 1.f / sqrtf(epsilon); |
| 6094 | std::vector<float> expectedOutputValues |
| 6095 | { |
| 6096 | // Batch 0, Channel 0, Height (1) x Width (1) |
| 6097 | 0.00000001f * approxInvL2Norm, |
| 6098 | 0.00000002f * approxInvL2Norm, |
| 6099 | 0.00000003f * approxInvL2Norm, |
| 6100 | }; |
| 6101 | |
| 6102 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6103 | inputValues, outScale, outOffset, expectedOutputValues, layout, |
| 6104 | epsilon); |
| 6105 | } |
| 6106 | |
| 6107 | |
| 6108 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6109 | LayerTestResult<T, 4> L2Normalization1dTestCommon( |
| 6110 | armnn::IWorkloadFactory& workloadFactory, |
| 6111 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6112 | float scale, |
| 6113 | int32_t offset, |
| 6114 | float outScale, |
| 6115 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6116 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6117 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6118 | // Width: 1 |
| 6119 | // Height: 1 |
| 6120 | // Channels: 10 |
| 6121 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6122 | unsigned int numberOfBatches = 1; |
| 6123 | unsigned int numberOfChannels = 10; |
| 6124 | unsigned int height = 1; |
| 6125 | unsigned int width = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6126 | |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6127 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6128 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6129 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6130 | std::vector<float> inputValues |
| 6131 | { |
| 6132 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6133 | 1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6134 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6135 | // Batch 0, Channel 1, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6136 | 2.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6137 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6138 | // Batch 0, Channel 2, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6139 | 3.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6140 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6141 | // Batch 0, Channel 3, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6142 | 4.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6143 | |
| 6144 | // Batch 0, Channel 4, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6145 | 5.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6146 | |
| 6147 | // Batch 0, Channel 5, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6148 | 6.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6149 | |
| 6150 | // Batch 0, Channel 6, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6151 | 7.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6152 | |
| 6153 | // Batch 0, Channel 7, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6154 | 8.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6155 | |
| 6156 | // Batch 0, Channel 8, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6157 | 9.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6158 | |
| 6159 | // Batch 0, Channel 9, Height (1) x Width (1) |
| 6160 | 10.0f |
| 6161 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6162 | const float approxInvL2Norm = 0.050964719f; |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6163 | std::vector<float> expectedOutputValues |
| 6164 | { |
| 6165 | // Batch 0, Channel 0, Height (1) x Width (1) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6166 | 1.0f * approxInvL2Norm, |
| 6167 | 2.0f * approxInvL2Norm, |
| 6168 | 3.0f * approxInvL2Norm, |
| 6169 | 4.0f * approxInvL2Norm, |
| 6170 | 5.0f * approxInvL2Norm, |
| 6171 | 6.0f * approxInvL2Norm, |
| 6172 | 7.0f * approxInvL2Norm, |
| 6173 | 8.0f * approxInvL2Norm, |
| 6174 | 9.0f * approxInvL2Norm, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6175 | 10.0f * approxInvL2Norm |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6176 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6177 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6178 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6179 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6180 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6181 | } |
| 6182 | |
Ferran Balaguer | e52211e | 2019-06-17 12:23:52 +0100 | [diff] [blame] | 6183 | LayerTestResult<float, 4> L2NormalizationDefaultEpsilonTest( |
| 6184 | armnn::IWorkloadFactory& workloadFactory, |
| 6185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6186 | const armnn::DataLayout layout) |
| 6187 | { |
| 6188 | // Dummy descriptor to get the default value of epsilon. |
| 6189 | armnn::L2NormalizationDescriptor descriptor; |
| 6190 | |
| 6191 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6192 | layout, descriptor.m_Eps); |
| 6193 | } |
| 6194 | |
| 6195 | LayerTestResult<float, 4> L2NormalizationNonDefaultEpsilonTest( |
| 6196 | armnn::IWorkloadFactory& workloadFactory, |
| 6197 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6198 | const armnn::DataLayout layout) |
| 6199 | { |
| 6200 | return L2NormalizationEpsilonTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6201 | layout, 1e-9f); |
| 6202 | } |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6203 | |
| 6204 | LayerTestResult<float, 4> L2Normalization1dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6205 | armnn::IWorkloadFactory& workloadFactory, |
| 6206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6207 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6208 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6209 | return L2Normalization1dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0,layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6210 | } |
| 6211 | |
| 6212 | LayerTestResult<int16_t, 4> L2Normalization1dInt16Test( |
| 6213 | armnn::IWorkloadFactory& workloadFactory, |
| 6214 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6215 | const armnn::DataLayout layout) |
| 6216 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6217 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6218 | layout); |
| 6219 | } |
| 6220 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6221 | LayerTestResult<uint8_t, 4> L2Normalization1dUint8Test( |
| 6222 | armnn::IWorkloadFactory& workloadFactory, |
| 6223 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6224 | const armnn::DataLayout layout) |
| 6225 | { |
| 6226 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6227 | 1.f/128, 128, layout); |
| 6228 | } |
| 6229 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6230 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6231 | LayerTestResult<T, 4> L2Normalization2dTestCommon( |
| 6232 | armnn::IWorkloadFactory& workloadFactory, |
| 6233 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6234 | float scale, |
| 6235 | int32_t offset, |
| 6236 | float outScale, |
| 6237 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6238 | const armnn::DataLayout layout) |
| 6239 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6240 | // Width: 5 |
| 6241 | // Height: 1 |
| 6242 | // Channels: 2 |
| 6243 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6244 | unsigned int numberOfBatches = 1; |
| 6245 | unsigned int numberOfChannels = 2; |
| 6246 | unsigned int height = 1; |
| 6247 | unsigned int width = 5; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6248 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6249 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6250 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6251 | std::vector<float> inputValues |
| 6252 | { |
| 6253 | // Batch 0, Channel 0, Height (1) x Width (5) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6254 | 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6255 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6256 | // Batch 0, Channel 1, Height (1) x Width (5) |
| 6257 | 2.0f, 4.0f, 6.0f, 8.0f, 10.0f |
| 6258 | }; |
| 6259 | std::vector<float> expectedOutputValues |
| 6260 | { |
| 6261 | // Batch 0, Channel 0, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6262 | 1.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6263 | 3.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6264 | 5.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6265 | 7.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
| 6266 | 9.0f * CalcInvL2Norm({ 9.0f, 10.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6267 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6268 | // Batch 0, Channel 1, Height (1) x Width (5) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6269 | 2.0f * CalcInvL2Norm({ 1.0f, 2.0f }), |
| 6270 | 4.0f * CalcInvL2Norm({ 3.0f, 4.0f }), |
| 6271 | 6.0f * CalcInvL2Norm({ 5.0f, 6.0f }), |
| 6272 | 8.0f * CalcInvL2Norm({ 7.0f, 8.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6273 | 10.0f * CalcInvL2Norm({ 9.0f, 10.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6274 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6275 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6276 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6277 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6278 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6279 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6280 | LayerTestResult<float, 4> L2Normalization2dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6281 | armnn::IWorkloadFactory& workloadFactory, |
| 6282 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6283 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6284 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6285 | return L2Normalization2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6286 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6287 | } |
| 6288 | |
| 6289 | LayerTestResult<int16_t, 4> L2Normalization2dInt16Test( |
| 6290 | armnn::IWorkloadFactory& workloadFactory, |
| 6291 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6292 | const armnn::DataLayout layout) |
| 6293 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6294 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6295 | layout); |
| 6296 | } |
| 6297 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6298 | LayerTestResult<uint8_t, 4> L2Normalization2dUint8Test( |
| 6299 | armnn::IWorkloadFactory& workloadFactory, |
| 6300 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6301 | const armnn::DataLayout layout) |
| 6302 | { |
| 6303 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6304 | 1.f/128, 128, layout); |
| 6305 | } |
| 6306 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6307 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6308 | LayerTestResult<T, 4> L2Normalization3dTestCommon( |
| 6309 | armnn::IWorkloadFactory& workloadFactory, |
| 6310 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6311 | float scale, |
| 6312 | int32_t offset, |
| 6313 | float outScale, |
| 6314 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6315 | const armnn::DataLayout layout) |
| 6316 | { |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6317 | // Width: 3 |
| 6318 | // Height: 4 |
| 6319 | // Channels: 2 |
| 6320 | // BatchSize: 1 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6321 | unsigned int numberOfBatches = 1; |
| 6322 | unsigned int numberOfChannels = 2; |
| 6323 | unsigned int height = 4; |
| 6324 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6325 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6326 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6327 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6328 | std::vector<float> inputValues |
| 6329 | { |
| 6330 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6331 | 119.0f, 21.0f, 150.0f, |
| 6332 | 149.0f, 32.0f, 179.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6333 | 15.0f, 227.0f, 141.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6334 | 147.0f, 199.0f, 220.0f, |
| 6335 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6336 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6337 | 110.0f, 140.0f, 73.0f, |
| 6338 | 211.0f, 212.0f, 89.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6339 | 24.0f, 138.0f, 188.0f, |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6340 | 162.0f, 12.0f, 161.0f |
| 6341 | }; |
| 6342 | std::vector<float> expectedOutputValues |
| 6343 | { |
| 6344 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6345 | 119.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6346 | 21.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6347 | 150.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
| 6348 | 149.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6349 | 32.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6350 | 179.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6351 | 15.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6352 | 227.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6353 | 141.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6354 | 147.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
| 6355 | 199.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
| 6356 | 220.0f * CalcInvL2Norm({ 220.0f, 161.0f }), |
| 6357 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6358 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6359 | 110.0f * CalcInvL2Norm({ 119.0f, 110.0f }), |
| 6360 | 140.0f * CalcInvL2Norm({ 21.0f, 140.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6361 | 73.0f * CalcInvL2Norm({ 150.0f, 73.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6362 | 211.0f * CalcInvL2Norm({ 149.0f, 211.0f }), |
| 6363 | 212.0f * CalcInvL2Norm({ 32.0f, 212.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6364 | 89.0f * CalcInvL2Norm({ 179.0f, 89.0f }), |
| 6365 | 24.0f * CalcInvL2Norm({ 15.0f, 24.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6366 | 138.0f * CalcInvL2Norm({ 227.0f, 138.0f }), |
| 6367 | 188.0f * CalcInvL2Norm({ 141.0f, 188.0f }), |
| 6368 | 162.0f * CalcInvL2Norm({ 147.0f, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6369 | 12.0f * CalcInvL2Norm({ 199.0f, 12.0f }), |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6370 | 161.0f * CalcInvL2Norm({ 220.0f, 161.0f }) |
| 6371 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6372 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6373 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6374 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6375 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6376 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6377 | LayerTestResult<float, 4> L2Normalization3dTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6378 | armnn::IWorkloadFactory& workloadFactory, |
| 6379 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 6380 | const armnn::DataLayout layout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6381 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6382 | return L2Normalization3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6383 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6384 | } |
| 6385 | |
| 6386 | LayerTestResult<int16_t, 4> L2Normalization3dInt16Test( |
| 6387 | armnn::IWorkloadFactory& workloadFactory, |
| 6388 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6389 | const armnn::DataLayout layout) |
| 6390 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6391 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6392 | layout); |
| 6393 | } |
| 6394 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6395 | LayerTestResult<uint8_t, 4> L2Normalization3dUint8Test( |
| 6396 | armnn::IWorkloadFactory& workloadFactory, |
| 6397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6398 | const armnn::DataLayout layout) |
| 6399 | { |
| 6400 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6401 | 1.f/128, 128, layout); |
| 6402 | } |
| 6403 | |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6404 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 6405 | LayerTestResult<T, 4> L2Normalization4dTestCommon( |
| 6406 | armnn::IWorkloadFactory& workloadFactory, |
| 6407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6408 | float scale, |
| 6409 | int32_t offset, |
| 6410 | float outScale, |
| 6411 | int32_t outOffset, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6412 | const armnn::DataLayout layout) |
| 6413 | { |
| 6414 | // Width: 3 |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6415 | // Height: 4 |
| 6416 | // Channels: 3 |
| 6417 | // BatchSize: 2 |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6418 | unsigned int numberOfBatches = 2; |
| 6419 | unsigned int numberOfChannels = 3; |
| 6420 | unsigned int height = 4; |
| 6421 | unsigned int width = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6422 | |
Nina Drozd | d41b259 | 2018-11-19 13:03:36 +0000 | [diff] [blame] | 6423 | const armnn::TensorShape inputOutputShape = armnnUtils::GetTensorShape( |
jimfly01 | 3aab7c3 | 2018-11-12 13:32:08 +0000 | [diff] [blame] | 6424 | numberOfBatches, numberOfChannels, height, width, layout); |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6425 | std::vector<float> inputValues |
| 6426 | { |
| 6427 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6428 | 235.0f, 46.0f, 178.0f, |
| 6429 | 100.0f, 123.0f, 19.0f, |
| 6430 | 172.0f, 74.0f, 250.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6431 | 6.0f, 195.0f, 80.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6432 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6433 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6434 | 113.0f, 95.0f, 202.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6435 | 77.0f, 114.0f, 71.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6436 | 122.0f, 246.0f, 166.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6437 | 82.0f, 28.0f, 37.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6438 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6439 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6440 | 56.0f, 170.0f, 162.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6441 | 194.0f, 89.0f, 254.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6442 | 12.0f, 209.0f, 200.0f, |
| 6443 | 1.0f, 64.0f, 54.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6444 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6445 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6446 | 67.0f, 90.0f, 49.0f, |
| 6447 | 7.0f, 163.0f, 18.0f, |
| 6448 | 25.0f, 117.0f, 103.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6449 | 247.0f, 59.0f, 189.0f, |
| 6450 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6451 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6452 | 239.0f, 104.0f, 199.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6453 | 17.0f, 124.0f, 153.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6454 | 222.0f, 217.0f, 75.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6455 | 32.0f, 126.0f, 21.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6456 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6457 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6458 | 97.0f, 145.0f, 215.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6459 | 115.0f, 116.0f, 238.0f, |
| 6460 | 226.0f, 16.0f, 132.0f, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6461 | 92.0f, 125.0f, 88.0f |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6462 | }; |
| 6463 | std::vector<float> expectedOutputValues |
| 6464 | { |
| 6465 | // Batch 0, Channel 0, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6466 | 235.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6467 | 46.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6468 | 178.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6469 | 100.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
| 6470 | 123.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6471 | 19.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6472 | 172.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6473 | 74.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6474 | 250.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6475 | 6.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6476 | 195.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6477 | 80.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6478 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6479 | // Batch 0, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6480 | 113.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6481 | 95.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6482 | 202.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6483 | 77.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6484 | 114.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6485 | 71.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6486 | 122.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
| 6487 | 246.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6488 | 166.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6489 | 82.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6490 | 28.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6491 | 37.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6492 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6493 | // Batch 0, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6494 | 56.0f * CalcInvL2Norm({ 235.0f, 113.0f, 56.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6495 | 170.0f * CalcInvL2Norm({ 46.0f, 95.0f, 170.0f }), |
| 6496 | 162.0f * CalcInvL2Norm({ 178.0f, 202.0F, 162.0f }), |
| 6497 | 194.0f * CalcInvL2Norm({ 100.0f, 77.0f, 194.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6498 | 89.0f * CalcInvL2Norm({ 123.0f, 114.0f, 89.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6499 | 254.0f * CalcInvL2Norm({ 19.0f, 71.0f, 254.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6500 | 12.0f * CalcInvL2Norm({ 172.0f, 122.0f, 12.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6501 | 209.0f * CalcInvL2Norm({ 74.0f, 246.0f, 209.0f }), |
| 6502 | 200.0f * CalcInvL2Norm({ 250.0f, 166.0f, 200.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6503 | 1.0f * CalcInvL2Norm({ 6.0f, 82.0f, 1.0f }), |
| 6504 | 64.0f * CalcInvL2Norm({ 195.0f, 28.0f, 64.0f }), |
| 6505 | 54.0f * CalcInvL2Norm({ 80.0f, 37.0f, 54.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6506 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6507 | // Batch 1, Channel 0, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6508 | 67.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6509 | 90.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6510 | 49.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6511 | 7.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6512 | 163.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6513 | 18.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6514 | 25.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6515 | 117.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
| 6516 | 103.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6517 | 247.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6518 | 59.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6519 | 189.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
| 6520 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6521 | // Batch 1, Channel 1, Height (4) x Width (3) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6522 | 239.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
| 6523 | 104.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6524 | 199.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6525 | 17.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6526 | 124.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6527 | 153.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6528 | 222.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
| 6529 | 217.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6530 | 75.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
| 6531 | 32.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6532 | 126.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6533 | 21.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6534 | |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6535 | // Batch 1, Channel 2, Height (4) x Width (3) |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6536 | 97.0f * CalcInvL2Norm({ 67.0f, 239.0f, 97.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6537 | 145.0f * CalcInvL2Norm({ 90.0f, 104.0f, 145.0f }), |
| 6538 | 215.0f * CalcInvL2Norm({ 49.0f, 199.0f, 215.0f }), |
| 6539 | 115.0f * CalcInvL2Norm({ 7.0f, 17.0f, 115.0f }), |
| 6540 | 116.0f * CalcInvL2Norm({ 163.0f, 124.0f, 116.0f }), |
| 6541 | 238.0f * CalcInvL2Norm({ 18.0f, 153.0f, 238.0f }), |
| 6542 | 226.0f * CalcInvL2Norm({ 25.0f, 222.0f, 226.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6543 | 16.0f * CalcInvL2Norm({ 117.0f, 217.0f, 16.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6544 | 132.0f * CalcInvL2Norm({ 103.0f, 75.0f, 132.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6545 | 92.0f * CalcInvL2Norm({ 247.0f, 32.0f, 92.0f }), |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6546 | 125.0f * CalcInvL2Norm({ 59.0f, 126.0f, 125.0f }), |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6547 | 88.0f * CalcInvL2Norm({ 189.0f, 21.0f, 88.0f }) |
Matteo Martincigh | 539b44d | 2018-10-01 09:26:39 +0100 | [diff] [blame] | 6548 | }; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6549 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6550 | return L2NormalizationTestImpl<ArmnnType>(workloadFactory, memoryManager, inputOutputShape, scale, offset, |
| 6551 | inputValues, outScale, outOffset, expectedOutputValues, layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6552 | } |
| 6553 | |
| 6554 | LayerTestResult<float, 4> L2Normalization4dTest( |
| 6555 | armnn::IWorkloadFactory& workloadFactory, |
| 6556 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6557 | const armnn::DataLayout layout) |
| 6558 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6559 | return L2Normalization4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.f, 0, 0.f, 0, |
| 6560 | layout); |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6561 | } |
| 6562 | |
| 6563 | LayerTestResult<int16_t, 4> L2Normalization4dInt16Test( |
| 6564 | armnn::IWorkloadFactory& workloadFactory, |
| 6565 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6566 | const armnn::DataLayout layout) |
| 6567 | { |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6568 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.f, 0, 1.f, 0, |
Ferran Balaguer | d73d14f | 2019-06-10 10:29:54 +0100 | [diff] [blame] | 6569 | layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6570 | } |
| 6571 | |
Ferran Balaguer | c6138d8 | 2019-06-13 17:23:50 +0100 | [diff] [blame] | 6572 | LayerTestResult<uint8_t, 4> L2Normalization4dUint8Test( |
| 6573 | armnn::IWorkloadFactory& workloadFactory, |
| 6574 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 6575 | const armnn::DataLayout layout) |
| 6576 | { |
| 6577 | return L2Normalization1dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.f, 0, |
| 6578 | 1.f/128, 128, layout); |
| 6579 | } |
| 6580 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6581 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6582 | LayerTestResult<T, 4> ConstantTestImpl( |
| 6583 | armnn::IWorkloadFactory& workloadFactory, |
| 6584 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6585 | float qScale, |
| 6586 | int32_t qOffset) |
| 6587 | { |
| 6588 | constexpr unsigned int inputWidth = 3; |
| 6589 | constexpr unsigned int inputHeight = 4; |
| 6590 | constexpr unsigned int inputChannels = 3; |
| 6591 | constexpr unsigned int inputBatchSize = 2; |
| 6592 | |
| 6593 | constexpr unsigned int outputWidth = inputWidth; |
| 6594 | constexpr unsigned int outputHeight = inputHeight; |
| 6595 | constexpr unsigned int outputChannels = inputChannels; |
| 6596 | constexpr unsigned int outputBatchSize = inputBatchSize; |
| 6597 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6598 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 6599 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6600 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6601 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 6602 | ArmnnType, qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6603 | |
| 6604 | // Set quantization parameters if the requested type is a quantized type. |
| 6605 | if(armnn::IsQuantizedType<T>()) |
| 6606 | { |
| 6607 | inputTensorInfo.SetQuantizationScale(qScale); |
| 6608 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 6609 | outputTensorInfo.SetQuantizationScale(qScale); |
| 6610 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 6611 | } |
| 6612 | |
| 6613 | auto input = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>( |
| 6614 | QuantizedVector<T>(qScale, qOffset, { |
| 6615 | // Batch 0, Channel 0 |
| 6616 | 235.0f, 46.0f, 178.0f, |
| 6617 | 100.0f, 123.0f, 19.0f, |
| 6618 | 172.0f, 74.0f, 250.0f, |
| 6619 | 6.0f, 195.0f, 80.0f, |
| 6620 | |
| 6621 | // Batch 0, Channel 1 |
| 6622 | 113.0f, 95.0f, 202.0f, |
| 6623 | 77.0f, 114.0f, 71.0f, |
| 6624 | 122.0f, 246.0f, 166.0f, |
| 6625 | 82.0f, 28.0f, 37.0f, |
| 6626 | |
| 6627 | // Batch 0, Channel 2 |
| 6628 | 56.0f, 170.0f, 162.0f, |
| 6629 | 194.0f, 89.0f, 254.0f, |
| 6630 | 12.0f, 209.0f, 200.0f, |
| 6631 | 1.0f, 64.0f, 54.0f, |
| 6632 | |
| 6633 | // Batch 1, Channel 0 |
| 6634 | 67.0f, 90.0f, 49.0f, |
| 6635 | 7.0f, 163.0f, 18.0f, |
| 6636 | 25.0f, 117.0f, 103.0f, |
| 6637 | 247.0f, 59.0f, 189.0f, |
| 6638 | |
| 6639 | // Batch 1, Channel 1 |
| 6640 | 239.0f, 104.0f, 199.0f, |
| 6641 | 17.0f, 124.0f, 153.0f, |
| 6642 | 222.0f, 217.0f, 75.0f, |
| 6643 | 32.0f, 126.0f, 21.0f, |
| 6644 | |
| 6645 | // Batch 1, Channel 2 |
| 6646 | 97.0f, 145.0f, 215.0f, |
| 6647 | 115.0f, 116.0f, 238.0f, |
| 6648 | 226.0f, 16.0f, 132.0f, |
| 6649 | 92.0f, 125.0f, 88.0f, |
| 6650 | }))); |
| 6651 | |
| 6652 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 6653 | result.outputExpected = input; |
| 6654 | |
| 6655 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6656 | |
| 6657 | armnn::ScopedCpuTensorHandle constantTensor(inputTensorInfo); |
| 6658 | AllocateAndCopyDataToITensorHandle(&constantTensor, &input[0][0][0][0]); |
| 6659 | |
| 6660 | armnn::ConstantQueueDescriptor descriptor; |
| 6661 | descriptor.m_LayerOutput = &constantTensor; |
| 6662 | |
| 6663 | armnn::WorkloadInfo info; |
| 6664 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 6665 | |
| 6666 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConstant(descriptor, info); |
| 6667 | |
| 6668 | outputHandle->Allocate(); |
| 6669 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6670 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6671 | workload->Execute(); |
| 6672 | |
| 6673 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 6674 | return result; |
| 6675 | } |
| 6676 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6677 | LayerTestResult<float, 4> ConstantTest( |
| 6678 | armnn::IWorkloadFactory& workloadFactory, |
| 6679 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6680 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6681 | return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6682 | } |
| 6683 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 6684 | LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest( |
| 6685 | armnn::IWorkloadFactory& workloadFactory, |
| 6686 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6687 | { |
| 6688 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 1.0f, 0); |
| 6689 | } |
| 6690 | |
| 6691 | LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6692 | armnn::IWorkloadFactory& workloadFactory, |
| 6693 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6694 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 6695 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 1.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6696 | } |
| 6697 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6698 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6699 | armnn::IWorkloadFactory& workloadFactory, |
| 6700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6701 | { |
| 6702 | unsigned int outputWidth = 3; |
| 6703 | unsigned int outputHeight = 6; |
| 6704 | unsigned int outputChannels = 3; |
| 6705 | |
| 6706 | unsigned int inputWidth1 = 3; |
| 6707 | unsigned int inputHeight1 = 6; |
| 6708 | unsigned int inputChannels1 = 2; |
| 6709 | |
| 6710 | unsigned int inputWidth2 = 3; |
| 6711 | unsigned int inputHeight2 = 6; |
| 6712 | unsigned int inputChannels2 = 1; |
| 6713 | |
| 6714 | // Defines the tensor descriptors. |
| 6715 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6716 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6717 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
| 6718 | |
| 6719 | // Quantized input1 tensor. Range [-3, 1] |
| 6720 | const float inputScale1 = 0.015686f; |
| 6721 | const int32_t inputOffset1 = 192; |
| 6722 | |
| 6723 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6724 | { |
| 6725 | 1, 2, 3, |
| 6726 | 4, 5, 6, |
| 6727 | 7, 8, 9, |
| 6728 | 10, 11, 12, |
| 6729 | 13, 14, 15, |
| 6730 | 16, 17, 18, |
| 6731 | |
| 6732 | 19, 20, 21, |
| 6733 | 22, 23, 24, |
| 6734 | 25, 26, 27, |
| 6735 | 28, 29, 30, |
| 6736 | 31, 32, 33, |
| 6737 | 34, 35, 36, |
| 6738 | }) |
| 6739 | ); |
| 6740 | |
| 6741 | // Quatized input2 tensor. Range [-1, 4] |
| 6742 | const float inputScale2 = 0.019608f; |
| 6743 | const int32_t inputOffset2 = 50; |
| 6744 | |
| 6745 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6746 | { |
| 6747 | 37, 38, 39, |
| 6748 | 40, 41, 42, |
| 6749 | 43, 44, 45, |
| 6750 | 46, 47, 48, |
| 6751 | 49, 50, 51, |
| 6752 | 52, 53, 54, |
| 6753 | }) |
| 6754 | ); |
| 6755 | |
| 6756 | // Output has the same quantization parameters than input1, |
| 6757 | // so that only the requantization of input2 is required |
| 6758 | const float outputScale = 0.015686f; |
| 6759 | const int32_t outputOffset = 192; |
| 6760 | |
| 6761 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6762 | |
| 6763 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
| 6764 | { |
| 6765 | 1, 2, 3, |
| 6766 | 4, 5, 6, |
| 6767 | 7, 8, 9, |
| 6768 | 10, 11, 12, |
| 6769 | 13, 14, 15, |
| 6770 | 16, 17, 18, |
| 6771 | |
| 6772 | 19, 20, 21, |
| 6773 | 22, 23, 24, |
| 6774 | 25, 26, 27, |
| 6775 | 28, 29, 30, |
| 6776 | 31, 32, 33, |
| 6777 | 34, 35, 36, |
| 6778 | |
| 6779 | 176, 177, 178, |
| 6780 | 179, 181, 182, |
| 6781 | 183, 184, 186, |
| 6782 | 187, 188, 189, |
| 6783 | 191, 192, 193, |
| 6784 | 195, 196, 197, |
| 6785 | }) |
| 6786 | ); |
| 6787 | |
| 6788 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 6789 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 6790 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 6791 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 6792 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 6793 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 6794 | |
| 6795 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6796 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6797 | |
| 6798 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6799 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6800 | |
| 6801 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6802 | |
| 6803 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6804 | |
| 6805 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6806 | subTensorsSupported ? |
| 6807 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6808 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6809 | |
| 6810 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6811 | subTensorsSupported ? |
| 6812 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6813 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6814 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6815 | armnn::ConcatQueueDescriptor data; |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6816 | armnn::WorkloadInfo info; |
| 6817 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6818 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 6819 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6820 | |
| 6821 | data.m_ViewOrigins.push_back(window1); |
| 6822 | data.m_ViewOrigins.push_back(window2); |
| 6823 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6824 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6825 | |
| 6826 | inputHandle1->Allocate(); |
| 6827 | inputHandle2->Allocate(); |
| 6828 | outputHandle->Allocate(); |
| 6829 | |
| 6830 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6831 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 6832 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6833 | workload->PostAllocationConfigure(); |
Ferran Balaguer | b284565 | 2019-02-27 09:42:06 +0000 | [diff] [blame] | 6834 | workload->Execute(); |
| 6835 | |
| 6836 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6837 | |
| 6838 | return ret; |
| 6839 | } |
| 6840 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6841 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 6842 | armnn::IWorkloadFactory& workloadFactory, |
| 6843 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6844 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6845 | unsigned int outputWidth = 3; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6846 | unsigned int outputHeight = 6; |
| 6847 | unsigned int outputChannels = 3; |
| 6848 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6849 | unsigned int inputWidth1 = 3; |
| 6850 | unsigned int inputHeight1 = 6; |
| 6851 | unsigned int inputChannels1 = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6852 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6853 | unsigned int inputWidth2 = 3; |
| 6854 | unsigned int inputHeight2 = 6; |
| 6855 | unsigned int inputChannels2 = 1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6856 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6857 | // Defines the tensor descriptors. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6858 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedAsymm8); |
| 6859 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedAsymm8); |
| 6860 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedAsymm8); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6861 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6862 | // 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] | 6863 | const float scale = 0.13497836f; |
| 6864 | const int32_t offset = -7; |
| 6865 | |
| 6866 | outputTensorInfo.SetQuantizationScale(scale); |
| 6867 | outputTensorInfo.SetQuantizationOffset(offset); |
| 6868 | inputTensorInfo1.SetQuantizationScale(scale); |
| 6869 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 6870 | inputTensorInfo2.SetQuantizationScale(scale); |
| 6871 | inputTensorInfo2.SetQuantizationOffset(offset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6872 | |
| 6873 | LayerTestResult<uint8_t, 3> ret(outputTensorInfo); |
| 6874 | |
| 6875 | ret.outputExpected = MakeTensor<uint8_t, 3>(outputTensorInfo, std::vector<uint8_t>( |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6876 | { |
| 6877 | 1, 2, 3, |
| 6878 | 4, 5, 6, |
| 6879 | 7, 8, 9, |
| 6880 | 10, 11, 12, |
| 6881 | 13, 14, 15, |
| 6882 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6883 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6884 | 19, 20, 21, |
| 6885 | 22, 23, 24, |
| 6886 | 25, 26, 27, |
| 6887 | 28, 29, 30, |
| 6888 | 31, 32, 33, |
| 6889 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6890 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6891 | 37, 38, 39, |
| 6892 | 40, 41, 42, |
| 6893 | 43, 44, 45, |
| 6894 | 46, 47, 48, |
| 6895 | 49, 50, 51, |
| 6896 | 52, 53, 54, |
| 6897 | }) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6898 | ); |
| 6899 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6900 | auto input1 = MakeTensor<uint8_t, 3>(inputTensorInfo1, std::vector<uint8_t>( |
| 6901 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6902 | 1, 2, 3, |
| 6903 | 4, 5, 6, |
| 6904 | 7, 8, 9, |
| 6905 | 10, 11, 12, |
| 6906 | 13, 14, 15, |
| 6907 | 16, 17, 18, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6908 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6909 | 19, 20, 21, |
| 6910 | 22, 23, 24, |
| 6911 | 25, 26, 27, |
| 6912 | 28, 29, 30, |
| 6913 | 31, 32, 33, |
| 6914 | 34, 35, 36, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6915 | }) |
| 6916 | ); |
| 6917 | |
| 6918 | auto input2 = MakeTensor<uint8_t, 3>(inputTensorInfo2, std::vector<uint8_t>( |
| 6919 | { |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6920 | 37, 38, 39, |
| 6921 | 40, 41, 42, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6922 | 43, 44, 45, |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 6923 | 46, 47, 48, |
| 6924 | 49, 50, 51, |
| 6925 | 52, 53, 54, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6926 | }) |
| 6927 | ); |
| 6928 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6929 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6930 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6931 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6932 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6933 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6934 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6935 | |
| 6936 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 6937 | |
| 6938 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 6939 | |
| 6940 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 6941 | subTensorsSupported ? |
| 6942 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 6943 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 6944 | |
| 6945 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 6946 | subTensorsSupported ? |
| 6947 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 6948 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 6949 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6950 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 6951 | armnn::ConcatQueueDescriptor data; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6952 | armnn::WorkloadInfo info; |
| 6953 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 6954 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6955 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 6956 | |
| 6957 | data.m_ViewOrigins.push_back(window1); |
| 6958 | data.m_ViewOrigins.push_back(window2); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6959 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6960 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6961 | |
| 6962 | inputHandle1->Allocate(); |
| 6963 | inputHandle2->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6964 | outputHandle->Allocate(); |
| 6965 | |
| 6966 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 6967 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6968 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 6969 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6970 | workload->Execute(); |
| 6971 | |
| 6972 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 6973 | |
| 6974 | return ret; |
| 6975 | } |
| 6976 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6977 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 6978 | armnn::IWorkloadFactory& workloadFactory, |
| 6979 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 6980 | { |
| 6981 | unsigned int outputWidth = 3; |
| 6982 | unsigned int outputHeight = 6; |
| 6983 | unsigned int outputChannels = 3; |
| 6984 | |
| 6985 | unsigned int inputWidth1 = 3; |
| 6986 | unsigned int inputHeight1 = 6; |
| 6987 | unsigned int inputChannels1 = 2; |
| 6988 | |
| 6989 | unsigned int inputWidth2 = 3; |
| 6990 | unsigned int inputHeight2 = 6; |
| 6991 | unsigned int inputChannels2 = 1; |
| 6992 | |
| 6993 | // Defines the tensor descriptors. |
| 6994 | armnn::TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, armnn::DataType::QuantisedSymm16); |
| 6995 | armnn::TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, armnn::DataType::QuantisedSymm16); |
| 6996 | armnn::TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, armnn::DataType::QuantisedSymm16); |
| 6997 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 6998 | // 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] | 6999 | const float scale = 0.13497836f; |
| 7000 | const int32_t offset = -7; |
| 7001 | |
| 7002 | outputTensorInfo.SetQuantizationScale(scale); |
| 7003 | outputTensorInfo.SetQuantizationOffset(offset); |
| 7004 | inputTensorInfo1.SetQuantizationScale(scale); |
| 7005 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 7006 | inputTensorInfo2.SetQuantizationScale(scale); |
| 7007 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 7008 | |
| 7009 | LayerTestResult<uint16_t, 3> ret(outputTensorInfo); |
| 7010 | |
| 7011 | ret.outputExpected = MakeTensor<uint16_t, 3>(outputTensorInfo, std::vector<uint16_t>( |
| 7012 | { |
| 7013 | 1, 2, 3, |
| 7014 | 4, 5, 6, |
| 7015 | 7, 8, 9, |
| 7016 | 10, 11, 12, |
| 7017 | 13, 14, 15, |
| 7018 | 16, 17, 18, |
| 7019 | |
| 7020 | 19, 20, 21, |
| 7021 | 22, 23, 24, |
| 7022 | 25, 26, 27, |
| 7023 | 28, 29, 30, |
| 7024 | 31, 32, 33, |
| 7025 | 34, 35, 36, |
| 7026 | |
| 7027 | 37, 38, 39, |
| 7028 | 40, 41, 42, |
| 7029 | 43, 44, 45, |
| 7030 | 46, 47, 48, |
| 7031 | 49, 50, 51, |
| 7032 | 52, 53, 54, |
| 7033 | })); |
| 7034 | |
| 7035 | auto input1 = MakeTensor<uint16_t, 3>(inputTensorInfo1, std::vector<uint16_t>( |
| 7036 | { |
| 7037 | 1, 2, 3, |
| 7038 | 4, 5, 6, |
| 7039 | 7, 8, 9, |
| 7040 | 10, 11, 12, |
| 7041 | 13, 14, 15, |
| 7042 | 16, 17, 18, |
| 7043 | |
| 7044 | 19, 20, 21, |
| 7045 | 22, 23, 24, |
| 7046 | 25, 26, 27, |
| 7047 | 28, 29, 30, |
| 7048 | 31, 32, 33, |
| 7049 | 34, 35, 36, |
| 7050 | })); |
| 7051 | |
| 7052 | auto input2 = MakeTensor<uint16_t, 3>(inputTensorInfo2, std::vector<uint16_t>( |
| 7053 | { |
| 7054 | 37, 38, 39, |
| 7055 | 40, 41, 42, |
| 7056 | 43, 44, 45, |
| 7057 | 46, 47, 48, |
| 7058 | 49, 50, 51, |
| 7059 | 52, 53, 54, |
| 7060 | })); |
| 7061 | |
| 7062 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7063 | armnn::ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7064 | |
| 7065 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7066 | armnn::ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7067 | |
| 7068 | |
| 7069 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7070 | |
| 7071 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 7072 | |
| 7073 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = |
| 7074 | subTensorsSupported ? |
| 7075 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 7076 | workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7077 | |
| 7078 | std::unique_ptr<armnn::ITensorHandle> inputHandle2 = |
| 7079 | subTensorsSupported ? |
| 7080 | workloadFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 7081 | workloadFactory.CreateTensorHandle(inputTensorInfo2); |
| 7082 | |
| 7083 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 7084 | armnn::ConcatQueueDescriptor data; |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7085 | armnn::WorkloadInfo info; |
| 7086 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7087 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 7088 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7089 | |
| 7090 | data.m_ViewOrigins.push_back(window1); |
| 7091 | data.m_ViewOrigins.push_back(window2); |
| 7092 | |
Jim Flynn | 4ed6c83 | 2019-05-20 11:02:46 +0100 | [diff] [blame] | 7093 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConcat(data, info); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 7094 | |
| 7095 | inputHandle1->Allocate(); |
| 7096 | inputHandle2->Allocate(); |
| 7097 | outputHandle->Allocate(); |
| 7098 | |
| 7099 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0]); |
| 7100 | CopyDataToITensorHandle(inputHandle2.get(), &input2[0][0][0]); |
| 7101 | |
| 7102 | workload->PostAllocationConfigure(); |
| 7103 | workload->Execute(); |
| 7104 | |
| 7105 | CopyDataFromITensorHandle(&ret.output[0][0][0], outputHandle.get()); |
| 7106 | |
| 7107 | return ret; |
| 7108 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7109 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7110 | namespace |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7111 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7112 | template <typename T> |
| 7113 | LayerTestResult<T, 4> AdditionQuantizeTestHelper( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7114 | armnn::IWorkloadFactory& workloadFactory, |
| 7115 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7116 | const unsigned int shape0[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7117 | const std::vector<T>& values0, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7118 | float scale0, |
| 7119 | int32_t offset0, |
| 7120 | const unsigned int shape1[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7121 | const std::vector<T> & values1, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7122 | float scale1, |
| 7123 | int32_t offset1, |
| 7124 | const unsigned int outShape[4], |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7125 | const std::vector<T> & outValues, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7126 | float outScale, |
| 7127 | int32_t outOffset) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7128 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7129 | auto dataType = (std::is_same<T, uint8_t>::value ? |
| 7130 | armnn::DataType::QuantisedAsymm8 : |
| 7131 | armnn::DataType::QuantisedSymm16); |
| 7132 | |
| 7133 | armnn::TensorInfo inputTensorInfo0(4, shape0, dataType); |
| 7134 | armnn::TensorInfo inputTensorInfo1(4, shape1, dataType); |
| 7135 | armnn::TensorInfo outputTensorInfo(4, outShape, dataType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7136 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7137 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7138 | inputTensorInfo0.SetQuantizationOffset(offset0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7139 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7140 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7141 | inputTensorInfo1.SetQuantizationOffset(offset1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7142 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7143 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7144 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7145 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7146 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7147 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7148 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7149 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7150 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7151 | |
| 7152 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7153 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7154 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7155 | |
| 7156 | armnn::AdditionQueueDescriptor data; |
| 7157 | armnn::WorkloadInfo info; |
| 7158 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7159 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7160 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7161 | |
| 7162 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAddition(data, info); |
| 7163 | |
| 7164 | inputHandle0->Allocate(); |
| 7165 | inputHandle1->Allocate(); |
| 7166 | outputHandle->Allocate(); |
| 7167 | |
| 7168 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7169 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7170 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7171 | workload->PostAllocationConfigure(); |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7172 | workload->Execute(); |
| 7173 | |
| 7174 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7175 | |
| 7176 | return result; |
| 7177 | } |
| 7178 | } // anonymous namespace |
| 7179 | |
| 7180 | LayerTestResult<uint8_t, 4> AdditionUint8Test( |
| 7181 | armnn::IWorkloadFactory& workloadFactory, |
| 7182 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7183 | { |
| 7184 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7185 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7186 | |
| 7187 | std::vector<uint8_t> input0( |
| 7188 | { |
| 7189 | 63, 35, 77, 70, 56, 112, // 420, 224, 518, 469, 371, 763 |
| 7190 | 203, 28, 252, 168, 245, 91 // 1400, 175, 1743, 1155, 1694, 616 |
| 7191 | }); |
| 7192 | |
| 7193 | std::vector<uint8_t> input1( |
| 7194 | { |
| 7195 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7196 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7197 | }); |
| 7198 | |
| 7199 | std::vector<uint8_t> output( |
| 7200 | { |
| 7201 | 81, 39, 249, 255, 228, 255, // 546, 252, 1722, 2065(clamped), 1575, 2212(clamped) |
| 7202 | 255, 186, 255, 186, 255, 214, // 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477 |
| 7203 | }); |
| 7204 | |
| 7205 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7206 | memoryManager, |
| 7207 | shape0, input0, 7.0f, 3, |
| 7208 | shape1, input1, 7.0f, 3, |
| 7209 | shape0, output, 7.0f, 3); |
| 7210 | } |
| 7211 | |
| 7212 | LayerTestResult<int16_t, 4> AdditionInt16Test( |
| 7213 | armnn::IWorkloadFactory& workloadFactory, |
| 7214 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7215 | { |
| 7216 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7217 | const unsigned int shape1[] = { 1, 2, 2, 3 }; |
| 7218 | |
| 7219 | std::vector<int16_t> input0( |
| 7220 | { |
| 7221 | 63, 35, 77, 70, 56, 112, // 441, 245, 539, 490, 392, 184 |
| 7222 | 203, 28, 252, 168, 245, 91 // 1421, 196, 1764, 1176, 1715, 637 |
| 7223 | }); |
| 7224 | |
| 7225 | std::vector<int16_t> input1( |
| 7226 | { |
| 7227 | 21, 7, 175, 231, 175, 210, // 126, 28, 1204, 1596, 1204, 1449 |
| 7228 | 126, 161, 63, 21, 105, 126 // 861, 1106, 420, 126, 714, 861 |
| 7229 | }); |
| 7230 | |
| 7231 | std::vector<int16_t> output( |
| 7232 | { |
| 7233 | 84, 42, 252, 301, 231, 322, // 588, 294, 1764, 2107(clamped), 1617, 2254(clamped) |
| 7234 | 329, 189, 315, 189, 350, 217, // 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519 |
| 7235 | }); |
| 7236 | |
| 7237 | return AdditionQuantizeTestHelper(workloadFactory, |
| 7238 | memoryManager, |
| 7239 | shape0, input0, 7.0f, 0, |
| 7240 | shape1, input1, 7.0f, 0, |
| 7241 | shape0, output, 7.0f, 0); |
| 7242 | } |
| 7243 | |
| 7244 | namespace |
| 7245 | { |
| 7246 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 7247 | LayerTestResult<T, 4> MultiplicationQuantizeTestHelper( |
| 7248 | armnn::IWorkloadFactory& workloadFactory, |
| 7249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7250 | const unsigned int shape0[4], |
| 7251 | const std::vector<T> & values0, |
| 7252 | float scale0, |
| 7253 | int32_t offset0, |
| 7254 | const unsigned int shape1[4], |
| 7255 | const std::vector<T> & values1, |
| 7256 | float scale1, |
| 7257 | int32_t offset1, |
| 7258 | const unsigned int outShape[4], |
| 7259 | const std::vector<T> & outValues, |
| 7260 | float outScale, |
| 7261 | int32_t outOffset) |
| 7262 | { |
| 7263 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7264 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7265 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
| 7266 | |
| 7267 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7268 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7269 | |
| 7270 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7271 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7272 | |
| 7273 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7274 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7275 | |
| 7276 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7277 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7278 | |
| 7279 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7280 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7281 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7282 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7283 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7284 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7285 | |
| 7286 | armnn::MultiplicationQueueDescriptor data; |
| 7287 | armnn::WorkloadInfo info; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7288 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7289 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7290 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7291 | |
| 7292 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 7293 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7294 | inputHandle0->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7295 | inputHandle1->Allocate(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7296 | outputHandle->Allocate(); |
| 7297 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7298 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7299 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7300 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7301 | workload->PostAllocationConfigure(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7302 | workload->Execute(); |
| 7303 | |
| 7304 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7305 | |
| 7306 | return result; |
| 7307 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7308 | } // anonymous namespace |
| 7309 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7310 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 7311 | armnn::IWorkloadFactory& workloadFactory, |
| 7312 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7313 | { |
| 7314 | unsigned int batchSize = 1; |
| 7315 | unsigned int channels = 2; |
| 7316 | unsigned int height = 2; |
| 7317 | unsigned int width = 3; |
| 7318 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 7319 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7320 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7321 | std::vector<uint8_t> input0({ |
| 7322 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 7323 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 7324 | }); |
| 7325 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7326 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7327 | std::vector<uint8_t> input1({ |
| 7328 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 7329 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 7330 | }); |
| 7331 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 7332 | // See dequantized values to the right. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7333 | std::vector<uint8_t> output( |
| 7334 | { |
| 7335 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 7336 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 7337 | }); |
| 7338 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7339 | // Scale/offset chosen to have output values out of range. |
| 7340 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7341 | memoryManager, |
| 7342 | shape, |
| 7343 | input0, |
| 7344 | 4.0f, |
| 7345 | 1, |
| 7346 | shape, |
| 7347 | input1, |
| 7348 | 3.0f, |
| 7349 | -2, |
| 7350 | shape, |
| 7351 | output, |
| 7352 | 1366.255f, |
| 7353 | -5); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7354 | } |
| 7355 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7356 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 7357 | armnn::IWorkloadFactory& workloadFactory, |
| 7358 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7359 | { |
| 7360 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7361 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7362 | |
| 7363 | std::vector<uint8_t> input0({ |
| 7364 | 1, 2, 3, 4, 5, 6, |
| 7365 | 7, 8, 9, 10, 11, 12 |
| 7366 | }); |
| 7367 | |
| 7368 | std::vector<uint8_t> input1({2}); |
| 7369 | |
| 7370 | std::vector<uint8_t> output({ |
| 7371 | 2, 4, 6, 8, 10, 12, |
| 7372 | 14, 16, 18, 20, 22, 24 |
| 7373 | }); |
| 7374 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7375 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7376 | memoryManager, |
| 7377 | shape0, |
| 7378 | input0, |
| 7379 | 1.0f, |
| 7380 | 0, |
| 7381 | shape1, |
| 7382 | input1, |
| 7383 | 1.0f, |
| 7384 | 0, |
| 7385 | shape0, |
| 7386 | output, |
| 7387 | 1.0f, |
| 7388 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7389 | } |
| 7390 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7391 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 7392 | armnn::IWorkloadFactory& workloadFactory, |
| 7393 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7394 | { |
| 7395 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7396 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7397 | |
| 7398 | std::vector<uint8_t> input0({ |
| 7399 | 1, 2, 3, 4, 5, 6, |
| 7400 | 7, 8, 9, 10, 11, 12 |
| 7401 | }); |
| 7402 | |
| 7403 | std::vector<uint8_t> input1({1, 2, 3}); |
| 7404 | |
| 7405 | std::vector<uint8_t> output({ |
| 7406 | 1, 4, 9, 4, 10, 18, |
| 7407 | 7, 16, 27, 10, 22, 36 |
| 7408 | }); |
| 7409 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7410 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7411 | memoryManager, |
| 7412 | shape0, |
| 7413 | input0, |
| 7414 | 1.0f, |
| 7415 | 0, |
| 7416 | shape1, |
| 7417 | input1, |
| 7418 | 1.0f, |
| 7419 | 0, |
| 7420 | shape0, |
| 7421 | output, |
| 7422 | 1.0f, |
| 7423 | 0); |
| 7424 | } |
| 7425 | |
| 7426 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 7427 | armnn::IWorkloadFactory& workloadFactory, |
| 7428 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7429 | { |
| 7430 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 7431 | |
| 7432 | std::vector<int16_t> input0( |
| 7433 | { |
| 7434 | 6, 7, 8, 9, 10, 11, |
| 7435 | 12, 13, 14, 15, 16, 17 |
| 7436 | }); |
| 7437 | |
| 7438 | std::vector<int16_t> input1( |
| 7439 | { |
| 7440 | 1, 2, 3, 4, 5, 6, |
| 7441 | 7, 8, 9, 10, 11, 12 |
| 7442 | }); |
| 7443 | |
| 7444 | std::vector<int16_t> output( |
| 7445 | { |
| 7446 | 6, 14, 24, 36, 50, 66, |
| 7447 | 84, 104, 126, 150, 176, 204 |
| 7448 | }); |
| 7449 | |
| 7450 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7451 | memoryManager, |
| 7452 | shape, |
| 7453 | input0, |
| 7454 | 1.0f, |
| 7455 | 0, |
| 7456 | shape, |
| 7457 | input1, |
| 7458 | 1.0f, |
| 7459 | 0, |
| 7460 | shape, |
| 7461 | output, |
| 7462 | 1.0f, |
| 7463 | 0); |
| 7464 | } |
| 7465 | |
| 7466 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 7467 | armnn::IWorkloadFactory& workloadFactory, |
| 7468 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7469 | { |
| 7470 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7471 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7472 | |
| 7473 | std::vector<int16_t> input0( |
| 7474 | { |
| 7475 | 1, 2, 3, 4, 5, 6, |
| 7476 | 7, 8, 9, 10, 11, 12 |
| 7477 | }); |
| 7478 | |
| 7479 | std::vector<int16_t> input1({2}); |
| 7480 | |
| 7481 | std::vector<int16_t> output( |
| 7482 | { |
| 7483 | 2, 4, 6, 8, 10, 12, |
| 7484 | 14, 16, 18, 20, 22, 24 |
| 7485 | }); |
| 7486 | |
| 7487 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7488 | memoryManager, |
| 7489 | shape0, |
| 7490 | input0, |
| 7491 | 1.0f, |
| 7492 | 0, |
| 7493 | shape1, |
| 7494 | input1, |
| 7495 | 1.0f, |
| 7496 | 0, |
| 7497 | shape0, |
| 7498 | output, |
| 7499 | 1.0f, |
| 7500 | 0); |
| 7501 | } |
| 7502 | |
| 7503 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 7504 | armnn::IWorkloadFactory& workloadFactory, |
| 7505 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7506 | { |
| 7507 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 7508 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 7509 | |
| 7510 | std::vector<int16_t> input0( |
| 7511 | { |
| 7512 | 1, 2, 3, 4, 5, 6, |
| 7513 | 7, 8, 9, 10, 11, 12 |
| 7514 | }); |
| 7515 | |
| 7516 | std::vector<int16_t> input1({1, 2, 3}); |
| 7517 | |
| 7518 | std::vector<int16_t> output( |
| 7519 | { |
| 7520 | 1, 4, 9, 4, 10, 18, |
| 7521 | 7, 16, 27, 10, 22, 36 |
| 7522 | }); |
| 7523 | |
| 7524 | return MultiplicationQuantizeTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7525 | memoryManager, |
| 7526 | shape0, |
| 7527 | input0, |
| 7528 | 1.0f, |
| 7529 | 0, |
| 7530 | shape1, |
| 7531 | input1, |
| 7532 | 1.0f, |
| 7533 | 0, |
| 7534 | shape0, |
| 7535 | output, |
| 7536 | 1.0f, |
| 7537 | 0); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 7538 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7539 | |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7540 | namespace |
| 7541 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7542 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7543 | LayerTestResult<T, 4> SubtractionTestHelper( |
| 7544 | armnn::IWorkloadFactory& workloadFactory, |
| 7545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 7546 | const unsigned int shape0[4], |
| 7547 | const std::vector<T>& values0, |
| 7548 | float scale0, |
| 7549 | int32_t offset0, |
| 7550 | const unsigned int shape1[4], |
| 7551 | const std::vector<T> & values1, |
| 7552 | float scale1, |
| 7553 | int32_t offset1, |
| 7554 | const unsigned int outShape[4], |
| 7555 | const std::vector<T> & outValues, |
| 7556 | float outScale, |
| 7557 | int32_t outOffset) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7558 | { |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7559 | armnn::TensorInfo inputTensorInfo0(4, shape0, ArmnnType); |
| 7560 | armnn::TensorInfo inputTensorInfo1(4, shape1, ArmnnType); |
| 7561 | armnn::TensorInfo outputTensorInfo(4, outShape, ArmnnType); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7562 | |
| 7563 | inputTensorInfo0.SetQuantizationScale(scale0); |
| 7564 | inputTensorInfo0.SetQuantizationOffset(offset0); |
| 7565 | |
| 7566 | inputTensorInfo1.SetQuantizationScale(scale1); |
| 7567 | inputTensorInfo1.SetQuantizationOffset(offset1); |
| 7568 | |
| 7569 | outputTensorInfo.SetQuantizationScale(outScale); |
| 7570 | outputTensorInfo.SetQuantizationOffset(outOffset); |
| 7571 | |
| 7572 | auto input0 = MakeTensor<T, 4>(inputTensorInfo0, values0); |
| 7573 | auto input1 = MakeTensor<T, 4>(inputTensorInfo1, values1); |
| 7574 | |
| 7575 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 7576 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outValues); |
| 7577 | |
| 7578 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 7579 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 7580 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 7581 | |
| 7582 | armnn::SubtractionQueueDescriptor data; |
| 7583 | armnn::WorkloadInfo info; |
| 7584 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 7585 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 7586 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 7587 | |
| 7588 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSubtraction(data, info); |
| 7589 | |
| 7590 | inputHandle0->Allocate(); |
| 7591 | inputHandle1->Allocate(); |
| 7592 | outputHandle->Allocate(); |
| 7593 | |
| 7594 | CopyDataToITensorHandle(inputHandle0.get(), &input0[0][0][0][0]); |
| 7595 | CopyDataToITensorHandle(inputHandle1.get(), &input1[0][0][0][0]); |
| 7596 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 7597 | workload->PostAllocationConfigure(); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7598 | workload->Execute(); |
| 7599 | |
| 7600 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 7601 | |
| 7602 | return result; |
| 7603 | } |
| 7604 | } // anonymous namespace |
| 7605 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7606 | LayerTestResult<uint8_t, 4> SubtractionUint8Test( |
| 7607 | armnn::IWorkloadFactory& workloadFactory, |
| 7608 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7609 | { |
| 7610 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7611 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7612 | |
| 7613 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7614 | std::vector<uint8_t> input1({ 1, 2, 1, 2 }); |
| 7615 | std::vector<uint8_t> output({ 3, 3, 5, 5 }); |
| 7616 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7617 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7618 | memoryManager, |
| 7619 | shape0, input0, 0.5f, 2, |
| 7620 | shape1, input1, 1.0f, 0, |
| 7621 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7622 | } |
| 7623 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7624 | LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test( |
| 7625 | armnn::IWorkloadFactory& workloadFactory, |
| 7626 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7627 | { |
| 7628 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7629 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7630 | |
| 7631 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7632 | std::vector<uint8_t> input1({ 2 }); |
| 7633 | std::vector<uint8_t> output({ 5, 6, 7, 8 }); |
| 7634 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7635 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7636 | memoryManager, |
| 7637 | shape0, input0, 0.5f, 2, |
| 7638 | shape1, input1, 1.0f, 0, |
| 7639 | shape0, output, 1.0f, 3); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7640 | } |
| 7641 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7642 | LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test( |
| 7643 | armnn::IWorkloadFactory& workloadFactory, |
| 7644 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7645 | { |
| 7646 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7647 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7648 | |
| 7649 | std::vector<uint8_t> input0({ 10, 12, 14, 16 }); |
| 7650 | std::vector<uint8_t> input1({ 2, 1 }); |
| 7651 | std::vector<uint8_t> output({ 8, 11, 12, 15 }); |
| 7652 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7653 | return SubtractionTestHelper<armnn::DataType::QuantisedAsymm8>(workloadFactory, |
| 7654 | memoryManager, |
| 7655 | shape0, input0, 1.0f, 0, |
| 7656 | shape1, input1, 1.0f, 0, |
| 7657 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7658 | } |
| 7659 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7660 | LayerTestResult<float, 4> SubtractionTest( |
| 7661 | armnn::IWorkloadFactory& workloadFactory, |
| 7662 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7663 | { |
| 7664 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7665 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7666 | |
| 7667 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7668 | std::vector<float> input1({ 1, -1, 0, 2 }); |
| 7669 | std::vector<float> output({ 0, 3, 3, 2 }); |
| 7670 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7671 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7672 | memoryManager, |
| 7673 | shape0, input0, 1.0f, 0, |
| 7674 | shape1, input1, 1.0f, 0, |
| 7675 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7676 | } |
| 7677 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7678 | LayerTestResult<float, 4> SubtractionBroadcast1ElementTest( |
| 7679 | armnn::IWorkloadFactory& workloadFactory, |
| 7680 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7681 | { |
| 7682 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7683 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7684 | |
| 7685 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7686 | std::vector<float> input1({ 10 }); |
| 7687 | std::vector<float> output({ -9, -8, -7, -6 }); |
| 7688 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7689 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7690 | memoryManager, |
| 7691 | shape0, input0, 1.0f, 0, |
| 7692 | shape1, input1, 1.0f, 0, |
| 7693 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7694 | } |
| 7695 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7696 | LayerTestResult<float, 4> SubtractionBroadcastTest( |
| 7697 | armnn::IWorkloadFactory& workloadFactory, |
| 7698 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7699 | { |
| 7700 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7701 | const unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 7702 | |
| 7703 | std::vector<float> input0({ 1, 2, 3, 4 }); |
| 7704 | std::vector<float> input1({ 10, -5 }); |
| 7705 | std::vector<float> output({ -9, 7, -7, 9 }); |
| 7706 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 7707 | return SubtractionTestHelper<armnn::DataType::Float32>(workloadFactory, |
| 7708 | memoryManager, |
| 7709 | shape0, input0, 1.0f, 0, |
| 7710 | shape1, input1, 1.0f, 0, |
| 7711 | shape0, output, 1.0f, 0); |
| 7712 | } |
| 7713 | |
| 7714 | LayerTestResult<int16_t, 4> SubtractionInt16Test( |
| 7715 | armnn::IWorkloadFactory& workloadFactory, |
| 7716 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7717 | { |
| 7718 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7719 | const unsigned int shape1[] = { 1, 1, 2, 2 }; |
| 7720 | |
| 7721 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7722 | std::vector<int16_t> input1({ 1, 2, 1, 2 }); |
| 7723 | std::vector<int16_t> output({ 3, 3, 5, 5 }); |
| 7724 | |
| 7725 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7726 | memoryManager, |
| 7727 | shape0, input0, 0.5f, 0, |
| 7728 | shape1, input1, 1.0f, 0, |
| 7729 | shape0, output, 1.0f, 0); |
| 7730 | } |
| 7731 | |
| 7732 | LayerTestResult<int16_t, 4> SubtractionBroadcast1ElementInt16Test( |
| 7733 | armnn::IWorkloadFactory& workloadFactory, |
| 7734 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7735 | { |
| 7736 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7737 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 7738 | |
| 7739 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7740 | std::vector<int16_t> input1({ 2 }); |
| 7741 | std::vector<int16_t> output({ 3, 4, 5, 6 }); |
| 7742 | |
| 7743 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7744 | memoryManager, |
| 7745 | shape0, input0, 0.5f, 0, |
| 7746 | shape1, input1, 1.0f, 0, |
| 7747 | shape0, output, 1.0f, 0); |
| 7748 | } |
| 7749 | |
| 7750 | LayerTestResult<int16_t, 4> SubtractionBroadcastInt16Test( |
| 7751 | armnn::IWorkloadFactory& workloadFactory, |
| 7752 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7753 | { |
| 7754 | const unsigned int shape0[] = { 1, 1, 2, 2 }; |
| 7755 | const unsigned int shape1[] = { 1, 1, 2, 1 }; |
| 7756 | |
| 7757 | std::vector<int16_t> input0({ 10, 12, 14, 16 }); |
| 7758 | std::vector<int16_t> input1({ 2, 1 }); |
| 7759 | std::vector<int16_t> output({ 8, 11, 12, 15 }); |
| 7760 | |
| 7761 | return SubtractionTestHelper<armnn::DataType::QuantisedSymm16>(workloadFactory, |
| 7762 | memoryManager, |
| 7763 | shape0, input0, 1.0f, 0, |
| 7764 | shape1, input1, 1.0f, 0, |
| 7765 | shape0, output, 1.0f, 0); |
David Beck | f195f03 | 2018-09-06 16:46:34 +0100 | [diff] [blame] | 7766 | } |
| 7767 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7768 | LayerTestResult<float, 4> BatchNormTest( |
| 7769 | armnn::IWorkloadFactory& workloadFactory, |
| 7770 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7771 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7772 | // BatchSize: 1 |
| 7773 | // Channels: 2 |
| 7774 | // Height: 3 |
| 7775 | // Width: 2 |
| 7776 | |
| 7777 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7778 | std::vector<float> inputValues |
| 7779 | { |
| 7780 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7781 | 1.f, 4.f, |
| 7782 | 4.f, 2.f, |
| 7783 | 1.f, 6.f, |
| 7784 | |
| 7785 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7786 | 1.f, 1.f, |
| 7787 | 4.f, 1.f, |
| 7788 | -2.f, 4.f |
| 7789 | }; |
| 7790 | std::vector<float> expectedOutputValues |
| 7791 | { |
| 7792 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7793 | 1.f, 4.f, |
| 7794 | 4.f, 2.f, |
| 7795 | 1.f, 6.f, |
| 7796 | |
| 7797 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7798 | 3.f, 3.f, |
| 7799 | 4.f, 3.f, |
| 7800 | 2.f, 4.f |
| 7801 | }; |
| 7802 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7803 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 7804 | workloadFactory, memoryManager, |
| 7805 | inputOutputShape, inputValues, expectedOutputValues, |
| 7806 | 0.f, 0, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7807 | } |
| 7808 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7809 | LayerTestResult<float, 4> BatchNormNhwcTest( |
| 7810 | armnn::IWorkloadFactory& workloadFactory, |
| 7811 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7812 | { |
| 7813 | // BatchSize: 1 |
| 7814 | // Height: 3 |
| 7815 | // Width: 2 |
| 7816 | // Channels: 2 |
| 7817 | |
| 7818 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7819 | std::vector<float> inputValues |
| 7820 | { |
| 7821 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7822 | 1.f, 1.f, |
| 7823 | 4.f, 1.f, |
| 7824 | |
| 7825 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7826 | 4.f, 4.f, |
| 7827 | 2.f, 1.f, |
| 7828 | |
| 7829 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7830 | 1.f, -2.f, |
| 7831 | 6.f, 4.f |
| 7832 | }; |
| 7833 | std::vector<float> expectedOutputValues |
| 7834 | { |
| 7835 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7836 | 1.f, 3.f, |
| 7837 | 4.f, 3.f, |
| 7838 | |
| 7839 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7840 | 4.f, 4.f, |
| 7841 | 2.f, 3.f, |
| 7842 | |
| 7843 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7844 | 1.f, 2.f, |
| 7845 | 6.f, 4.f |
| 7846 | }; |
| 7847 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7848 | return BatchNormTestImpl<armnn::DataType::Float32>( |
| 7849 | workloadFactory, memoryManager, |
| 7850 | inputOutputShape, inputValues, expectedOutputValues, |
| 7851 | 0.f, 0, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7852 | } |
| 7853 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7854 | LayerTestResult<uint8_t, 4> BatchNormUint8Test( |
| 7855 | armnn::IWorkloadFactory& workloadFactory, |
| 7856 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7857 | { |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7858 | // BatchSize: 1 |
| 7859 | // Channels: 2 |
| 7860 | // Height: 3 |
| 7861 | // Width: 2 |
| 7862 | |
| 7863 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7864 | std::vector<float> inputValues |
| 7865 | { |
| 7866 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7867 | 1.f, 4.f, |
| 7868 | 4.f, 2.f, |
| 7869 | 1.f, 6.f, |
| 7870 | |
| 7871 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7872 | 1.f, 1.f, |
| 7873 | 4.f, 1.f, |
| 7874 | -2.f, 4.f |
| 7875 | }; |
| 7876 | std::vector<float> expectedOutputValues |
| 7877 | { |
| 7878 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7879 | 1.f, 4.f, |
| 7880 | 4.f, 2.f, |
| 7881 | 1.f, 6.f, |
| 7882 | |
| 7883 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7884 | 3.f, 3.f, |
| 7885 | 4.f, 3.f, |
| 7886 | 2.f, 4.f |
| 7887 | }; |
| 7888 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7889 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 7890 | workloadFactory, memoryManager, |
| 7891 | inputOutputShape, inputValues, expectedOutputValues, |
| 7892 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7893 | } |
| 7894 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7895 | LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest( |
| 7896 | armnn::IWorkloadFactory& workloadFactory, |
| 7897 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Matteo Martincigh | 8eb675e | 2018-10-17 14:43:29 +0100 | [diff] [blame] | 7898 | { |
| 7899 | // BatchSize: 1 |
| 7900 | // Height: 3 |
| 7901 | // Width: 2 |
| 7902 | // Channels: 2 |
| 7903 | |
| 7904 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7905 | std::vector<float> inputValues |
| 7906 | { |
| 7907 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7908 | 1.f, 1.f, |
| 7909 | 4.f, 1.f, |
| 7910 | |
| 7911 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7912 | 4.f, 4.f, |
| 7913 | 2.f, 1.f, |
| 7914 | |
| 7915 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7916 | 1.f, -2.f, |
| 7917 | 6.f, 4.f |
| 7918 | }; |
| 7919 | std::vector<float> expectedOutputValues |
| 7920 | { |
| 7921 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7922 | 1.f, 3.f, |
| 7923 | 4.f, 3.f, |
| 7924 | |
| 7925 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7926 | 4.f, 4.f, |
| 7927 | 2.f, 3.f, |
| 7928 | |
| 7929 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 7930 | 1.f, 2.f, |
| 7931 | 6.f, 4.f |
| 7932 | }; |
| 7933 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 7934 | return BatchNormTestImpl<armnn::DataType::QuantisedAsymm8> |
| 7935 | (workloadFactory, memoryManager, |
| 7936 | inputOutputShape, inputValues, expectedOutputValues, |
| 7937 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7938 | } |
| 7939 | |
Matteo Martincigh | f550713 | 2019-06-04 10:59:47 +0100 | [diff] [blame] | 7940 | LayerTestResult<int16_t, 4> BatchNormInt16Test( |
| 7941 | armnn::IWorkloadFactory& workloadFactory, |
| 7942 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7943 | { |
| 7944 | // BatchSize: 1 |
| 7945 | // Channels: 2 |
| 7946 | // Height: 3 |
| 7947 | // Width: 2 |
| 7948 | |
| 7949 | const armnn::TensorShape inputOutputShape{ 1, 2, 3, 2 }; |
| 7950 | std::vector<float> inputValues |
| 7951 | { |
| 7952 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7953 | 1.f, 4.f, |
| 7954 | 4.f, 2.f, |
| 7955 | 1.f, 6.f, |
| 7956 | |
| 7957 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7958 | 1.f, 1.f, |
| 7959 | 4.f, 1.f, |
| 7960 | -2.f, 4.f |
| 7961 | }; |
| 7962 | std::vector<float> expectedOutputValues |
| 7963 | { |
| 7964 | // Batch 0, Channel 0, Height (3) x Width (2) |
| 7965 | 1.f, 4.f, |
| 7966 | 4.f, 2.f, |
| 7967 | 1.f, 6.f, |
| 7968 | |
| 7969 | // Batch 0, Channel 1, Height (3) x Width (2) |
| 7970 | 3.f, 3.f, |
| 7971 | 4.f, 3.f, |
| 7972 | 2.f, 4.f |
| 7973 | }; |
| 7974 | |
| 7975 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16>( |
| 7976 | workloadFactory, memoryManager, |
| 7977 | inputOutputShape, inputValues, expectedOutputValues, |
| 7978 | 1.f/20.f, 50, armnn::DataLayout::NCHW); |
| 7979 | } |
| 7980 | |
| 7981 | LayerTestResult<int16_t, 4> BatchNormInt16NhwcTest( |
| 7982 | armnn::IWorkloadFactory& workloadFactory, |
| 7983 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 7984 | { |
| 7985 | // BatchSize: 1 |
| 7986 | // Height: 3 |
| 7987 | // Width: 2 |
| 7988 | // Channels: 2 |
| 7989 | |
| 7990 | const armnn::TensorShape inputOutputShape{ 1, 3, 2, 2 }; |
| 7991 | std::vector<float> inputValues |
| 7992 | { |
| 7993 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 7994 | 1.f, 1.f, |
| 7995 | 4.f, 1.f, |
| 7996 | |
| 7997 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 7998 | 4.f, 4.f, |
| 7999 | 2.f, 1.f, |
| 8000 | |
| 8001 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8002 | 1.f, -2.f, |
| 8003 | 6.f, 4.f |
| 8004 | }; |
| 8005 | std::vector<float> expectedOutputValues |
| 8006 | { |
| 8007 | // Batch 0, Height 0, Width (2) x Channel (2) |
| 8008 | 1.f, 3.f, |
| 8009 | 4.f, 3.f, |
| 8010 | |
| 8011 | // Batch 0, Height 1, Width (2) x Channel (2) |
| 8012 | 4.f, 4.f, |
| 8013 | 2.f, 3.f, |
| 8014 | |
| 8015 | // Batch 0, Height 2, Width (2) x Channel (2) |
| 8016 | 1.f, 2.f, |
| 8017 | 6.f, 4.f |
| 8018 | }; |
| 8019 | |
| 8020 | return BatchNormTestImpl<armnn::DataType::QuantisedSymm16> |
| 8021 | (workloadFactory, memoryManager, |
| 8022 | inputOutputShape, inputValues, expectedOutputValues, |
| 8023 | 1.f/20.f, 50, armnn::DataLayout::NHWC); |
| 8024 | } |
| 8025 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8026 | LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8027 | armnn::IWorkloadFactory& workloadFactory, |
| 8028 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8029 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8030 | return ConstantTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 2e-6f, 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8031 | } |
| 8032 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 8033 | LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest( |
| 8034 | armnn::IWorkloadFactory& workloadFactory, |
| 8035 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8036 | { |
| 8037 | return ConstantTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, 2e-6f, 1); |
| 8038 | } |
| 8039 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8040 | LayerTestResult<uint8_t, 1> Concatenation1dUint8Test( |
| 8041 | armnn::IWorkloadFactory& workloadFactory, |
| 8042 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8043 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8044 | return Concatenation1dTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8045 | } |
| 8046 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8047 | LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test( |
| 8048 | armnn::IWorkloadFactory& workloadFactory, |
| 8049 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8050 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8051 | return Concatenation2dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8052 | } |
| 8053 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8054 | LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test( |
| 8055 | armnn::IWorkloadFactory& workloadFactory, |
| 8056 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8057 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8058 | return Concatenation2dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8059 | } |
| 8060 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8061 | LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test( |
| 8062 | armnn::IWorkloadFactory& workloadFactory, |
| 8063 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8064 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8065 | return Concatenation2dDim0DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8066 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8067 | } |
| 8068 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8069 | LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test( |
| 8070 | armnn::IWorkloadFactory& workloadFactory, |
| 8071 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8072 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8073 | return Concatenation2dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8074 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8075 | } |
| 8076 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8077 | LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test( |
| 8078 | armnn::IWorkloadFactory& workloadFactory, |
| 8079 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8080 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8081 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8082 | } |
| 8083 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8084 | LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test( |
| 8085 | armnn::IWorkloadFactory& workloadFactory, |
| 8086 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8087 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8088 | return Concatenation3dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8089 | } |
| 8090 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8091 | LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test( |
| 8092 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8093 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8094 | bool useSubtensor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8095 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8096 | return Concatenation3dDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8097 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8098 | } |
| 8099 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8100 | LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test( |
| 8101 | armnn::IWorkloadFactory& workloadFactory, |
| 8102 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8103 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8104 | return Concatenation3dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8105 | } |
| 8106 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8107 | LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test( |
| 8108 | armnn::IWorkloadFactory& workloadFactory, |
| 8109 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8110 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8111 | return Concatenation3dDim1DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8112 | workloadFactory, memoryManager, 0.5f, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8113 | } |
| 8114 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8115 | LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test( |
| 8116 | armnn::IWorkloadFactory& workloadFactory, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8117 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8118 | bool useSubtensor) |
| 8119 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8120 | return Concatenation3dDim2DiffInputDimsTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8121 | workloadFactory, memoryManager, useSubtensor, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8122 | } |
| 8123 | |
| 8124 | LayerTestResult<uint8_t, 4> Concatenation4dDim0Uint8Test( |
| 8125 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8126 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8127 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8128 | return Concatenation4dDim0TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8129 | } |
| 8130 | |
| 8131 | LayerTestResult<uint8_t, 4> Concatenation4dDim1Uint8Test( |
| 8132 | armnn::IWorkloadFactory& workloadFactory, |
| 8133 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8134 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8135 | return Concatenation4dDim1TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8136 | } |
| 8137 | |
| 8138 | LayerTestResult<uint8_t, 4> Concatenation4dDim2Uint8Test( |
| 8139 | armnn::IWorkloadFactory& workloadFactory, |
| 8140 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8141 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8142 | return Concatenation4dDim2TestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8143 | } |
| 8144 | |
| 8145 | LayerTestResult<uint8_t, 4> Concatenation4dDim3Uint8Test( |
| 8146 | armnn::IWorkloadFactory& workloadFactory, |
| 8147 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, bool useSubtensor) |
| 8148 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8149 | return Concatenation4dDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8150 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8151 | } |
| 8152 | |
| 8153 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim0Uint8Test( |
| 8154 | armnn::IWorkloadFactory& workloadFactory, |
| 8155 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8156 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8157 | return Concatenation4dDiffShapeDim0TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8158 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8159 | } |
| 8160 | |
| 8161 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim1Uint8Test( |
| 8162 | armnn::IWorkloadFactory& workloadFactory, |
| 8163 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8164 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8165 | return Concatenation4dDiffShapeDim1TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8166 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8167 | } |
| 8168 | |
| 8169 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim2Uint8Test( |
| 8170 | armnn::IWorkloadFactory& workloadFactory, |
| 8171 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8172 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8173 | return Concatenation4dDiffShapeDim2TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8174 | workloadFactory, memoryManager, 0.5f, -1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 8175 | } |
| 8176 | |
| 8177 | LayerTestResult<uint8_t, 4> Concatenation4dDiffShapeDim3Uint8Test( |
| 8178 | armnn::IWorkloadFactory& workloadFactory, |
| 8179 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8180 | bool useSubtensor) |
| 8181 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8182 | return Concatenation4dDiffShapeDim3TestImpl<armnn::DataType::QuantisedAsymm8>( |
| 8183 | workloadFactory, memoryManager, 0.5f, -1, useSubtensor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8184 | } |
| 8185 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8186 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 8187 | armnn::IWorkloadFactory& workloadFactory, |
| 8188 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8189 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8190 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8191 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 8192 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8193 | } |
| 8194 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8195 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 8196 | armnn::IWorkloadFactory& workloadFactory, |
| 8197 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8198 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8199 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8200 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8201 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8202 | } |
| 8203 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8204 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test( |
| 8205 | armnn::IWorkloadFactory& workloadFactory, |
| 8206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8207 | bool forceNoPadding) |
| 8208 | { |
| 8209 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8210 | workloadFactory, memoryManager, forceNoPadding); |
| 8211 | } |
| 8212 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8213 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 8214 | armnn::IWorkloadFactory& workloadFactory, |
| 8215 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8216 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8217 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8218 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 8219 | workloadFactory, memoryManager, forceNoPadding); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8220 | } |
| 8221 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8222 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 8223 | armnn::IWorkloadFactory& workloadFactory, |
| 8224 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8225 | bool forceNoPadding) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8226 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8227 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8228 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8229 | } |
| 8230 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8231 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test( |
| 8232 | armnn::IWorkloadFactory& workloadFactory, |
| 8233 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8234 | bool forceNoPadding) |
| 8235 | { |
| 8236 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8237 | workloadFactory, memoryManager, forceNoPadding); |
| 8238 | } |
| 8239 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8240 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 8241 | armnn::IWorkloadFactory& workloadFactory, |
| 8242 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8243 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8244 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8245 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8246 | } |
| 8247 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8248 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 8249 | armnn::IWorkloadFactory& workloadFactory, |
| 8250 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8251 | const armnn::DataLayout dataLayout) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8252 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8253 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 8254 | } |
| 8255 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8256 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test( |
| 8257 | armnn::IWorkloadFactory& workloadFactory, |
| 8258 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8259 | const armnn::DataLayout dataLayout) |
| 8260 | { |
| 8261 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 8262 | } |
| 8263 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 8264 | armnn::IWorkloadFactory& workloadFactory, |
| 8265 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8266 | { |
| 8267 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8268 | } |
| 8269 | |
| 8270 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 8271 | armnn::IWorkloadFactory& workloadFactory, |
| 8272 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8273 | { |
| 8274 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8275 | workloadFactory, memoryManager, 1.0f, -5); |
| 8276 | } |
| 8277 | |
| 8278 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test( |
| 8279 | armnn::IWorkloadFactory& workloadFactory, |
| 8280 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8281 | { |
| 8282 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8283 | workloadFactory, memoryManager); |
| 8284 | } |
| 8285 | |
| 8286 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 8287 | armnn::IWorkloadFactory& workloadFactory, |
| 8288 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8289 | { |
| 8290 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8291 | } |
| 8292 | |
| 8293 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 8294 | armnn::IWorkloadFactory& workloadFactory, |
| 8295 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8296 | { |
| 8297 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8298 | workloadFactory, memoryManager, 1.0f, -5); |
| 8299 | } |
| 8300 | |
| 8301 | LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test( |
| 8302 | armnn::IWorkloadFactory& workloadFactory, |
| 8303 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8304 | { |
| 8305 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8306 | workloadFactory, memoryManager); |
| 8307 | } |
| 8308 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8309 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 8310 | armnn::IWorkloadFactory& workloadFactory, |
| 8311 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8312 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8313 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8314 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8315 | } |
| 8316 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8317 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 8318 | armnn::IWorkloadFactory& workloadFactory, |
| 8319 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8320 | const armnn::DataLayout dataLayout) |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 8321 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8322 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8323 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8324 | } |
| 8325 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8326 | LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test( |
| 8327 | armnn::IWorkloadFactory& workloadFactory, |
| 8328 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8329 | const armnn::DataLayout dataLayout) |
| 8330 | { |
| 8331 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8332 | workloadFactory, memoryManager, dataLayout); |
| 8333 | } |
| 8334 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8335 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 8336 | armnn::IWorkloadFactory& workloadFactory, |
| 8337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8338 | bool forceNoPadding) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8339 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8340 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8341 | workloadFactory, memoryManager, forceNoPadding); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8342 | } |
| 8343 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8344 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 8345 | armnn::IWorkloadFactory& workloadFactory, |
| 8346 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8347 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8348 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8349 | } |
| 8350 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8351 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 8352 | armnn::IWorkloadFactory& workloadFactory, |
| 8353 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8354 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8355 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8356 | workloadFactory, memoryManager, 0.5, -1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8357 | } |
| 8358 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8359 | LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test( |
| 8360 | armnn::IWorkloadFactory& workloadFactory, |
| 8361 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8362 | { |
| 8363 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8364 | workloadFactory, memoryManager); |
| 8365 | } |
| 8366 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 8367 | armnn::IWorkloadFactory& workloadFactory, |
| 8368 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8369 | { |
| 8370 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8371 | } |
| 8372 | |
| 8373 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 8374 | armnn::IWorkloadFactory& workloadFactory, |
| 8375 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8376 | { |
| 8377 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8378 | workloadFactory, memoryManager); |
| 8379 | } |
| 8380 | |
| 8381 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test( |
| 8382 | armnn::IWorkloadFactory& workloadFactory, |
| 8383 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8384 | { |
| 8385 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8386 | workloadFactory, memoryManager); |
| 8387 | } |
| 8388 | |
| 8389 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 8390 | armnn::IWorkloadFactory& workloadFactory, |
| 8391 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8392 | { |
| 8393 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 8394 | workloadFactory, memoryManager); |
| 8395 | } |
| 8396 | |
| 8397 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
| 8398 | armnn::IWorkloadFactory& workloadFactory, |
| 8399 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8400 | { |
| 8401 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8402 | workloadFactory, memoryManager); |
| 8403 | } |
| 8404 | |
| 8405 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test( |
| 8406 | armnn::IWorkloadFactory& workloadFactory, |
| 8407 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8408 | { |
| 8409 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8410 | workloadFactory, memoryManager); |
| 8411 | } |
| 8412 | |
| 8413 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 8414 | armnn::IWorkloadFactory& workloadFactory, |
| 8415 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8416 | { |
| 8417 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8418 | } |
| 8419 | |
| 8420 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 8421 | armnn::IWorkloadFactory& workloadFactory, |
| 8422 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8423 | { |
| 8424 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>( |
| 8425 | workloadFactory, memoryManager); |
| 8426 | } |
| 8427 | |
| 8428 | LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test( |
| 8429 | armnn::IWorkloadFactory& workloadFactory, |
| 8430 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8431 | { |
| 8432 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>( |
| 8433 | workloadFactory, memoryManager); |
| 8434 | } |
| 8435 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8436 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 8437 | armnn::IWorkloadFactory& workloadFactory, |
| 8438 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8439 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8440 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8441 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8442 | } |
| 8443 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8444 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 8445 | armnn::IWorkloadFactory& workloadFactory, |
| 8446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 8447 | const armnn::DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8448 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8449 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8450 | } |
| 8451 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8452 | LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test( |
| 8453 | armnn::IWorkloadFactory& workloadFactory, |
| 8454 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8455 | const armnn::DataLayout dataLayout) |
| 8456 | { |
| 8457 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager, dataLayout); |
| 8458 | } |
| 8459 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8460 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 8461 | armnn::IWorkloadFactory& workloadFactory, |
| 8462 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8463 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8464 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8465 | } |
| 8466 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8467 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 8468 | armnn::IWorkloadFactory& workloadFactory, |
| 8469 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8470 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8471 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8472 | } |
| 8473 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8474 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test( |
| 8475 | armnn::IWorkloadFactory& workloadFactory, |
| 8476 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8477 | { |
| 8478 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8479 | } |
| 8480 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8481 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 8482 | armnn::IWorkloadFactory& workloadFactory, |
| 8483 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8484 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8485 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8486 | } |
| 8487 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8488 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 8489 | armnn::IWorkloadFactory& workloadFactory, |
| 8490 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8491 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8492 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8493 | } |
| 8494 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8495 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test( |
| 8496 | armnn::IWorkloadFactory& workloadFactory, |
| 8497 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8498 | { |
| 8499 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8500 | } |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8501 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 8502 | armnn::IWorkloadFactory& workloadFactory, |
| 8503 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8504 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8505 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8506 | } |
| 8507 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8508 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 8509 | armnn::IWorkloadFactory& workloadFactory, |
| 8510 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8511 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8512 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8513 | } |
| 8514 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8515 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test( |
| 8516 | armnn::IWorkloadFactory& workloadFactory, |
| 8517 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8518 | { |
| 8519 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8520 | } |
| 8521 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8522 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 8523 | armnn::IWorkloadFactory& workloadFactory, |
| 8524 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8525 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8526 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8527 | } |
| 8528 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8529 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 8530 | armnn::IWorkloadFactory& workloadFactory, |
| 8531 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8532 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8533 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8534 | } |
| 8535 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8536 | LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test( |
| 8537 | armnn::IWorkloadFactory& workloadFactory, |
| 8538 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8539 | { |
| 8540 | return L2Pooling2dSize7TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8541 | } |
| 8542 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8543 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 8544 | armnn::IWorkloadFactory& workloadFactory, |
| 8545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8546 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8547 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8548 | } |
| 8549 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8550 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 8551 | armnn::IWorkloadFactory& workloadFactory, |
| 8552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
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 L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8555 | } |
| 8556 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8557 | LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test( |
| 8558 | armnn::IWorkloadFactory& workloadFactory, |
| 8559 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8560 | { |
| 8561 | return L2Pooling2dSize9TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8562 | } |
| 8563 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 8564 | armnn::IWorkloadFactory& workloadFactory, |
| 8565 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8566 | { |
| 8567 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8568 | } |
| 8569 | |
| 8570 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 8571 | armnn::IWorkloadFactory& workloadFactory, |
| 8572 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8573 | { |
| 8574 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 8575 | } |
| 8576 | |
| 8577 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test( |
| 8578 | armnn::IWorkloadFactory& workloadFactory, |
| 8579 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8580 | { |
| 8581 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8582 | } |
| 8583 | |
| 8584 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 8585 | armnn::IWorkloadFactory& workloadFactory, |
| 8586 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8587 | { |
| 8588 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 8589 | } |
| 8590 | |
| 8591 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 8592 | armnn::IWorkloadFactory& workloadFactory, |
| 8593 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8594 | { |
| 8595 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 8596 | } |
| 8597 | |
| 8598 | LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test( |
| 8599 | armnn::IWorkloadFactory& workloadFactory, |
| 8600 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8601 | { |
| 8602 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8603 | } |
| 8604 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8605 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 8606 | armnn::IWorkloadFactory& workloadFactory, |
| 8607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8608 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8609 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8610 | } |
| 8611 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8612 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 8613 | armnn::IWorkloadFactory& workloadFactory, |
| 8614 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8615 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8616 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8617 | } |
| 8618 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8619 | LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test( |
| 8620 | armnn::IWorkloadFactory& workloadFactory, |
| 8621 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8622 | { |
| 8623 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8624 | } |
| 8625 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8626 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 8627 | armnn::IWorkloadFactory& workloadFactory, |
| 8628 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8629 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8630 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8631 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8632 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8633 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8634 | } |
| 8635 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8636 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 8637 | armnn::IWorkloadFactory& workloadFactory, |
| 8638 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8639 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8640 | armnn::PoolingAlgorithm poolingType) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8641 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8642 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedAsymm8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8643 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8644 | } |
| 8645 | |
Teresa Charlin | 0434df6 | 2019-06-06 13:40:35 +0100 | [diff] [blame] | 8646 | LayerTestResult<int16_t, 4> ComparePooling2dInt16Test( |
| 8647 | armnn::IWorkloadFactory& workloadFactory, |
| 8648 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8649 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 8650 | armnn::PoolingAlgorithm poolingType) |
| 8651 | { |
| 8652 | return ComparePooling2dTestCommon<armnn::DataType::QuantisedSymm16>( |
| 8653 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 8654 | } |
| 8655 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8656 | LayerTestResult<float, 2> FullyConnectedLargeTest( |
| 8657 | armnn::IWorkloadFactory& workloadFactory, |
| 8658 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8659 | bool transposeWeights) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8660 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8661 | return FullyConnectedLargeTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, transposeWeights); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8662 | } |
| 8663 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8664 | LayerTestResult<float, 4> SimplePermuteFloat32Test( |
| 8665 | armnn::IWorkloadFactory& workloadFactory, |
| 8666 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8667 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8668 | return SimplePermuteFloat32TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8669 | }; |
| 8670 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8671 | LayerTestResult<uint8_t, 4> SimplePermuteUint8Test( |
| 8672 | armnn::IWorkloadFactory& workloadFactory, |
| 8673 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8674 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8675 | return SimplePermuteUint8TestCommon(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8676 | }; |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8677 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8678 | LayerTestResult<float, 4> PermuteFloat32ValueSet1Test( |
| 8679 | armnn::IWorkloadFactory& workloadFactory, |
| 8680 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8681 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8682 | return PermuteFloat32ValueSet1TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8683 | }; |
| 8684 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8685 | LayerTestResult<float, 4> PermuteFloat32ValueSet2Test( |
| 8686 | armnn::IWorkloadFactory& workloadFactory, |
| 8687 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8688 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8689 | return PermuteFloat32ValueSet2TestCommon(workloadFactory, memoryManager); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8690 | }; |
| 8691 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8692 | LayerTestResult<float, 4> PermuteFloat32ValueSet3Test( |
| 8693 | armnn::IWorkloadFactory& workloadFactory, |
| 8694 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 8695 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8696 | return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager); |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 8697 | }; |
| 8698 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8699 | LayerTestResult<float, 4> AdditionAfterMaxPoolTest( |
| 8700 | armnn::IWorkloadFactory& workloadFactory, |
| 8701 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8702 | { |
| 8703 | // Create Initial Tensor |
| 8704 | // 1, 2, 3 |
| 8705 | // 4, 5, 6 |
| 8706 | // 7, 8, 9 |
| 8707 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8708 | armnn::TensorInfo poolingInputTensorInfo({ 1, 1, 3, 3}, armnn::DataType::Float32); |
| 8709 | armnn::TensorInfo poolingOutputTensorInfo({ 1, 1, 2, 2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8710 | |
| 8711 | boost::multi_array<float, 4> poolingInput = MakeTensor<float,4>(poolingInputTensorInfo, |
| 8712 | {1, 2, 3, |
| 8713 | 4, 5, 6, |
| 8714 | 7, 8, 9 |
| 8715 | }); |
| 8716 | |
| 8717 | std::unique_ptr<armnn::ITensorHandle> poolingInputHandle = |
| 8718 | workloadFactory.CreateTensorHandle(poolingInputTensorInfo); |
| 8719 | std::unique_ptr<armnn::ITensorHandle> poolingOutputHandle = |
| 8720 | workloadFactory.CreateTensorHandle(poolingOutputTensorInfo); |
| 8721 | |
| 8722 | // Apply MaxPool poolSize = 1x1, stride=2x2 |
| 8723 | // Result = |
| 8724 | // 1, 3 |
| 8725 | // 7, 9 |
| 8726 | armnn::Pooling2dDescriptor descriptor; |
| 8727 | descriptor.m_PoolHeight = 1; |
| 8728 | descriptor.m_PoolWidth = 1; |
| 8729 | descriptor.m_StrideX = 2; |
| 8730 | descriptor.m_StrideY = 2; |
| 8731 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 8732 | |
| 8733 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 8734 | queueDescriptor.m_Parameters = descriptor; |
| 8735 | armnn::WorkloadInfo workloadInfo; |
| 8736 | AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get()); |
| 8737 | AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8738 | |
| 8739 | // Create the MaxPool |
| 8740 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 8741 | |
| 8742 | //LayerTestResult<float, 4> result(poolingOutputTensorInfo); |
| 8743 | auto shape( GetTensorShapeAsArray<4>(poolingOutputTensorInfo)); |
| 8744 | boost::multi_array<float, 4> resultMaxPool; |
| 8745 | resultMaxPool.resize(shape); |
| 8746 | |
| 8747 | |
| 8748 | // Create addition with another tensor the same size |
| 8749 | // This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1 |
| 8750 | // with the initial tensor. |
| 8751 | // 12, 16 |
| 8752 | // 24, 28 |
| 8753 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8754 | armnn::TensorInfo addInputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
| 8755 | armnn::TensorInfo addOutputTensorInfo({ 1,1,2,2}, armnn::DataType::Float32); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8756 | |
| 8757 | boost::multi_array<float, 4> addInput = MakeTensor<float,4>(addInputTensorInfo, |
| 8758 | {12, 16, |
| 8759 | 24, 28, |
| 8760 | }); |
| 8761 | |
| 8762 | // Expected output tensor after MaxPool and Addition. |
| 8763 | LayerTestResult<float,4> addRet(addOutputTensorInfo); |
| 8764 | addRet.outputExpected = MakeTensor<float, 4>(addOutputTensorInfo, std::vector<float>( |
| 8765 | { |
| 8766 | 13, 19, |
| 8767 | 31, 37 |
| 8768 | })); |
| 8769 | |
| 8770 | std::unique_ptr<armnn::ITensorHandle> addInputHandle = workloadFactory.CreateTensorHandle(addInputTensorInfo); |
| 8771 | std::unique_ptr<armnn::ITensorHandle> addOutputHandle = workloadFactory.CreateTensorHandle(addOutputTensorInfo); |
| 8772 | |
| 8773 | armnn::AdditionQueueDescriptor data; |
| 8774 | armnn::WorkloadInfo info; |
| 8775 | |
| 8776 | // Add the output of the MaxPool and the new tensor |
| 8777 | AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get()); |
| 8778 | AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get()); |
| 8779 | AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get()); |
| 8780 | |
| 8781 | std::unique_ptr<armnn::IWorkload> addWorkload = workloadFactory.CreateAddition(data, info); |
| 8782 | |
| 8783 | poolingInputHandle->Allocate(); |
| 8784 | poolingOutputHandle->Allocate(); |
| 8785 | addInputHandle->Allocate(); |
| 8786 | addOutputHandle->Allocate(); |
| 8787 | |
| 8788 | CopyDataToITensorHandle(poolingInputHandle.get(), &poolingInput[0][0][0][0]); |
| 8789 | CopyDataFromITensorHandle(&resultMaxPool[0][0][0][0], poolingOutputHandle.get()); |
| 8790 | |
| 8791 | CopyDataToITensorHandle(poolingOutputHandle.get(), &resultMaxPool[0][0][0][0]); |
| 8792 | CopyDataToITensorHandle(addInputHandle.get(), &addInput[0][0][0][0]); |
| 8793 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8794 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8795 | workload->Execute(); |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8796 | addWorkload->PostAllocationConfigure(); |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8797 | addWorkload->Execute(); |
| 8798 | |
| 8799 | CopyDataFromITensorHandle(&addRet.output[0][0][0][0], addOutputHandle.get()); |
| 8800 | |
Éanna Ó Catháin | 47c1ddb | 2018-10-12 14:24:13 +0100 | [diff] [blame] | 8801 | return addRet; |
| 8802 | } |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8803 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8804 | LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test( |
| 8805 | armnn::IWorkloadFactory& workloadFactory, |
| 8806 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8807 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8808 | return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8809 | } |
| 8810 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8811 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test( |
| 8812 | armnn::IWorkloadFactory& workloadFactory, |
| 8813 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8814 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8815 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8816 | } |
| 8817 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8818 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test( |
| 8819 | armnn::IWorkloadFactory& workloadFactory, |
| 8820 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8821 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8822 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8823 | } |
| 8824 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8825 | LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test( |
| 8826 | armnn::IWorkloadFactory& workloadFactory, |
| 8827 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8828 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8829 | return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8830 | } |
| 8831 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8832 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test( |
| 8833 | armnn::IWorkloadFactory& workloadFactory, |
| 8834 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8835 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8836 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8837 | } |
| 8838 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8839 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test( |
| 8840 | armnn::IWorkloadFactory& workloadFactory, |
| 8841 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8842 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8843 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8844 | } |
| 8845 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8846 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test( |
| 8847 | armnn::IWorkloadFactory& workloadFactory, |
| 8848 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8849 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8850 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8851 | } |
| 8852 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8853 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test( |
| 8854 | armnn::IWorkloadFactory& workloadFactory, |
| 8855 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8856 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8857 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8858 | } |
| 8859 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8860 | LayerTestResult<float, 4> SpaceToBatchNdSimpleNHWCFloat32Test( |
| 8861 | armnn::IWorkloadFactory& workloadFactory, |
| 8862 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8863 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8864 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8865 | } |
| 8866 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8867 | LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNHWCFloat32Test( |
| 8868 | armnn::IWorkloadFactory& workloadFactory, |
| 8869 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8870 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8871 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8872 | } |
| 8873 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8874 | LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNHWCFloat32Test( |
| 8875 | armnn::IWorkloadFactory& workloadFactory, |
| 8876 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8877 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8878 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8879 | } |
| 8880 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8881 | LayerTestResult<float, 4> SpaceToBatchNdPaddingNHWCFloat32Test( |
| 8882 | armnn::IWorkloadFactory& workloadFactory, |
| 8883 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8884 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8885 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8886 | } |
| 8887 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8888 | LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNHWCUint8Test( |
| 8889 | armnn::IWorkloadFactory& workloadFactory, |
| 8890 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8891 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8892 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8893 | } |
| 8894 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8895 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNHWCUint8Test( |
| 8896 | armnn::IWorkloadFactory& workloadFactory, |
| 8897 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8898 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8899 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8900 | } |
| 8901 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8902 | LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNHWCUint8Test( |
| 8903 | armnn::IWorkloadFactory& workloadFactory, |
| 8904 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8905 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8906 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8907 | } |
| 8908 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8909 | LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNHWCUint8Test( |
| 8910 | armnn::IWorkloadFactory& workloadFactory, |
| 8911 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8912 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 8913 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 8914 | } |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8915 | |
nikraj01 | 120522a | 2019-05-31 11:33:07 +0100 | [diff] [blame] | 8916 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test( |
| 8917 | armnn::IWorkloadFactory& workloadFactory, |
| 8918 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8919 | { |
| 8920 | return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8921 | } |
| 8922 | |
| 8923 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test( |
| 8924 | armnn::IWorkloadFactory& workloadFactory, |
| 8925 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8926 | { |
| 8927 | return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8928 | } |
| 8929 | |
| 8930 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test( |
| 8931 | armnn::IWorkloadFactory& workloadFactory, |
| 8932 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8933 | { |
| 8934 | return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8935 | } |
| 8936 | |
| 8937 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test( |
| 8938 | armnn::IWorkloadFactory& workloadFactory, |
| 8939 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8940 | { |
| 8941 | return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8942 | } |
| 8943 | |
| 8944 | LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNHWCUint16Test( |
| 8945 | armnn::IWorkloadFactory& workloadFactory, |
| 8946 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8947 | { |
| 8948 | return SpaceToBatchNdSimpleNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8949 | } |
| 8950 | |
| 8951 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNHWCUint16Test( |
| 8952 | armnn::IWorkloadFactory& workloadFactory, |
| 8953 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8954 | { |
| 8955 | return SpaceToBatchNdMultiChannelsNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8956 | } |
| 8957 | |
| 8958 | LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNHWCUint16Test( |
| 8959 | armnn::IWorkloadFactory& workloadFactory, |
| 8960 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8961 | { |
| 8962 | return SpaceToBatchNdMultiBlockNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8963 | } |
| 8964 | |
| 8965 | LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNHWCUint16Test( |
| 8966 | armnn::IWorkloadFactory& workloadFactory, |
| 8967 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 8968 | { |
| 8969 | return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 8970 | } |
| 8971 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8972 | namespace { |
| 8973 | |
| 8974 | template<typename T, std::size_t InputDim, std::size_t OutputDim> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 8975 | LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( |
| 8976 | armnn::IWorkloadFactory &workloadFactory, |
| 8977 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 8978 | const armnn::DataLayout& dataLayout, |
| 8979 | const unsigned int *inputShape, |
| 8980 | const std::vector<T> &inputData, |
| 8981 | const std::vector<unsigned int> &blockShape, |
| 8982 | const std::vector<std::pair<unsigned int, unsigned int>> &crops, |
| 8983 | const unsigned int *outputShape, |
| 8984 | const std::vector<T> &outputData, |
| 8985 | float scale = 1.0f, |
| 8986 | int32_t offset = 0) |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 8987 | { |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 8988 | auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32); |
| 8989 | |
| 8990 | armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType); |
| 8991 | armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType); |
| 8992 | |
| 8993 | inputTensorInfo.SetQuantizationScale(scale); |
| 8994 | inputTensorInfo.SetQuantizationOffset(offset); |
| 8995 | |
| 8996 | outputTensorInfo.SetQuantizationScale(scale); |
| 8997 | outputTensorInfo.SetQuantizationOffset(offset); |
| 8998 | |
| 8999 | auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData); |
| 9000 | |
| 9001 | LayerTestResult<T, OutputDim> result(outputTensorInfo); |
| 9002 | result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData); |
| 9003 | |
| 9004 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 9005 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 9006 | |
| 9007 | armnn::BatchToSpaceNdQueueDescriptor data; |
| 9008 | data.m_Parameters.m_DataLayout = dataLayout; |
| 9009 | data.m_Parameters.m_BlockShape = blockShape; |
| 9010 | data.m_Parameters.m_Crops = crops; |
| 9011 | armnn::WorkloadInfo info; |
| 9012 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 9013 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 9014 | |
| 9015 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); |
| 9016 | |
| 9017 | inputHandle->Allocate(); |
| 9018 | outputHandle->Allocate(); |
| 9019 | |
| 9020 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 9021 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 9022 | workload->PostAllocationConfigure(); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9023 | workload->Execute(); |
| 9024 | |
| 9025 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 9026 | |
| 9027 | return result; |
| 9028 | } |
| 9029 | |
| 9030 | } // anonymous namespace |
| 9031 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9032 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( |
| 9033 | armnn::IWorkloadFactory& workloadFactory, |
| 9034 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9035 | { |
| 9036 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9037 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9038 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9039 | std::vector<float> input({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9040 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9041 | 1.0f, 3.0f, |
| 9042 | // Batch 0, Height 1, Width (2) x Channel (1) |
| 9043 | 9.0f, 11.0f, |
| 9044 | |
| 9045 | |
| 9046 | // Batch 1, Height 0, Width (2) x Channel (1) |
| 9047 | 2.0f, 4.0f, |
| 9048 | // Batch 1, Height 1, Width (2) x Channel (1) |
| 9049 | 10.0f, 12.0f, |
| 9050 | |
| 9051 | |
| 9052 | // Batch 2, Height 0, Width (2) x Channel (1) |
| 9053 | 5.0f, 7.0f, |
| 9054 | // Batch 2, Height 1, Width (2) x Channel (1) |
| 9055 | 13.0f, 15.0f, |
| 9056 | |
| 9057 | // Batch 3, Height 0, Width (2) x Channel (3) |
| 9058 | 6.0f, 8.0f, |
| 9059 | // Batch 3, Height 1, Width (2) x Channel (1) |
| 9060 | 14.0f, 16.0f |
| 9061 | }); |
| 9062 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9063 | std::vector<float> expectedOutput({ |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9064 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9065 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9066 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9067 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9068 | }); |
| 9069 | |
| 9070 | std::vector<unsigned int> blockShape {2, 2}; |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9071 | 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] | 9072 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9073 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9074 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9075 | crops, outputShape, expectedOutput); |
| 9076 | } |
| 9077 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9078 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( |
| 9079 | armnn::IWorkloadFactory& workloadFactory, |
| 9080 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9081 | { |
| 9082 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9083 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9084 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9085 | std::vector<float> input({ |
| 9086 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9087 | 1.0f, 2.0f, 3.0f, 4.0f |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9088 | }); |
| 9089 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9090 | 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] | 9091 | |
| 9092 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9093 | 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] | 9094 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9095 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9096 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9097 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9098 | } |
| 9099 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9100 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( |
| 9101 | armnn::IWorkloadFactory& workloadFactory, |
| 9102 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9103 | { |
| 9104 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9105 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9106 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9107 | 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] | 9108 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9109 | 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] | 9110 | |
| 9111 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9112 | 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] | 9113 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9114 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9115 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9116 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9117 | } |
| 9118 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9119 | LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( |
| 9120 | armnn::IWorkloadFactory& workloadFactory, |
| 9121 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9122 | { |
| 9123 | const unsigned int inputShape[] = {8, 1, 3, 1}; |
| 9124 | const unsigned int outputShape[] = {2, 2, 4, 1}; |
| 9125 | |
| 9126 | std::vector<float> input({ |
| 9127 | 0.0f, 1.0f, 3.0f, |
| 9128 | 0.0f, 9.0f, 11.0f, |
| 9129 | 0.0f, 2.0f, 4.0f, |
| 9130 | 0.0f, 10.0f, 12.0f, |
| 9131 | 0.0f, 5.0f, 7.0f, |
| 9132 | 0.0f, 13.0f, 15.0f, |
| 9133 | 0.0f, 6.0f, 8.0f, |
| 9134 | 0.0f, 14.0f, 16.0f |
| 9135 | }); |
| 9136 | |
| 9137 | std::vector<float> expectedOutput({ |
| 9138 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 9139 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 9140 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 9141 | 13.0f, 14.0f, 15.0f, 16.0f |
| 9142 | }); |
| 9143 | |
| 9144 | std::vector<unsigned int> blockShape({2, 2}); |
| 9145 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9146 | |
| 9147 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9148 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9149 | crops, outputShape, expectedOutput); |
| 9150 | } |
| 9151 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9152 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( |
| 9153 | armnn::IWorkloadFactory &workloadFactory, |
| 9154 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9155 | { |
| 9156 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9157 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9158 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9159 | 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] | 9160 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9161 | std::vector<float> expectedOutput({ |
| 9162 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9163 | 1.0f, 4.0f, |
| 9164 | 7.0f, 10.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9165 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9166 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9167 | 2.0f, 5.0f, |
| 9168 | 8.0f, 11.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9169 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9170 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9171 | 3.0f, 6.0f, |
| 9172 | 9.0f, 12.0f, |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9173 | }); |
| 9174 | |
| 9175 | std::vector<unsigned int> blockShape({2, 2}); |
Éanna Ó Catháin | 95807ce | 2018-11-12 17:14:43 +0000 | [diff] [blame] | 9176 | 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] | 9177 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9178 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9179 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9180 | crops, outputShape, expectedOutput); |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 9181 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9182 | |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9183 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9184 | armnn::IWorkloadFactory& workloadFactory, |
| 9185 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9186 | { |
| 9187 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9188 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9189 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9190 | std::vector<float> input({ |
| 9191 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9192 | 1.0f, 2.0f, 3.0f, 4.0f |
| 9193 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9194 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9195 | std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9196 | |
| 9197 | std::vector<unsigned int> blockShape({2, 2}); |
| 9198 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9199 | |
| 9200 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9201 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9202 | crops, outputShape, expectedOutput); |
| 9203 | } |
| 9204 | |
| 9205 | LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9206 | armnn::IWorkloadFactory& workloadFactory, |
| 9207 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9208 | { |
| 9209 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9210 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9211 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9212 | 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] | 9213 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9214 | std::vector<float> expectedOutput({ |
| 9215 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9216 | 1.0f, 7.0f, |
| 9217 | 2.0f, 8.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9218 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9219 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9220 | 3.0f, 9.0f, |
| 9221 | 4.0f, 10.0f, |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9222 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9223 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9224 | 5.0f, 11.0f, |
| 9225 | 6.0f, 12.0f, |
| 9226 | }); |
Mike Kelly | 831faed | 2018-11-28 11:52:08 +0000 | [diff] [blame] | 9227 | |
| 9228 | std::vector<unsigned int> blockShape({2, 2}); |
| 9229 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9230 | |
| 9231 | return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, |
| 9232 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9233 | crops, outputShape, expectedOutput); |
| 9234 | } |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9235 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9236 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( |
| 9237 | armnn::IWorkloadFactory& workloadFactory, |
| 9238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Éanna Ó Catháin | 262553e | 2018-11-14 11:26:23 +0000 | [diff] [blame] | 9239 | { |
| 9240 | const unsigned int inputShape[] = {4, 2, 2, 1}; |
| 9241 | const unsigned int outputShape[] = {1, 4, 4, 1}; |
| 9242 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9243 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); |
| 9244 | 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] | 9245 | |
| 9246 | std::vector<unsigned int> blockShape({2, 2}); |
| 9247 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9248 | |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 9249 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, |
| 9250 | input, blockShape, crops, outputShape, expectedOutput); |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 9251 | } |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9252 | |
Nattapat Chaimanowong | 3ee1422 | 2019-02-27 10:28:09 +0000 | [diff] [blame] | 9253 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( |
| 9254 | armnn::IWorkloadFactory& workloadFactory, |
| 9255 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9256 | { |
| 9257 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9258 | const unsigned int outputShape[] = {1, 2, 2, 1}; |
| 9259 | |
| 9260 | std::vector<uint8_t> input({ |
| 9261 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9262 | 1, 2, 3, 4 |
| 9263 | }); |
| 9264 | |
| 9265 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9266 | |
| 9267 | std::vector<unsigned int> blockShape({2, 2}); |
| 9268 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9269 | |
| 9270 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9271 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9272 | crops, outputShape, expectedOutput); |
| 9273 | } |
| 9274 | |
| 9275 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( |
| 9276 | armnn::IWorkloadFactory& workloadFactory, |
| 9277 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9278 | { |
| 9279 | const unsigned int inputShape[] = {4, 1, 1, 3}; |
| 9280 | const unsigned int outputShape[] = {1, 2, 2, 3}; |
| 9281 | |
| 9282 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9283 | |
| 9284 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9285 | |
| 9286 | std::vector<unsigned int> blockShape({2, 2}); |
| 9287 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9288 | |
| 9289 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9290 | armnn::DataLayout::NHWC, inputShape, input, blockShape, |
| 9291 | crops, outputShape, expectedOutput); |
| 9292 | } |
| 9293 | |
| 9294 | |
| 9295 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( |
| 9296 | armnn::IWorkloadFactory &workloadFactory, |
| 9297 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9298 | { |
| 9299 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9300 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9301 | |
| 9302 | std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); |
| 9303 | |
| 9304 | std::vector<uint8_t> expectedOutput({ |
| 9305 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9306 | 1, 4, |
| 9307 | 7, 10, |
| 9308 | |
| 9309 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9310 | 2, 5, |
| 9311 | 8, 11, |
| 9312 | |
| 9313 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9314 | 3, 6, |
| 9315 | 9, 12, |
| 9316 | }); |
| 9317 | |
| 9318 | std::vector<unsigned int> blockShape({2, 2}); |
| 9319 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9320 | |
| 9321 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9322 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9323 | crops, outputShape, expectedOutput); |
| 9324 | } |
| 9325 | |
| 9326 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( |
| 9327 | armnn::IWorkloadFactory& workloadFactory, |
| 9328 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9329 | { |
| 9330 | const unsigned int inputShape[] = {4, 1, 1, 1}; |
| 9331 | const unsigned int outputShape[] = {1, 1, 2, 2}; |
| 9332 | |
| 9333 | std::vector<uint8_t> input({ |
| 9334 | // Batch 0, Height 0, Width (2) x Channel (1) |
| 9335 | 1, 2, 3, 4 |
| 9336 | }); |
| 9337 | |
| 9338 | std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); |
| 9339 | |
| 9340 | std::vector<unsigned int> blockShape({2, 2}); |
| 9341 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9342 | |
| 9343 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9344 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9345 | crops, outputShape, expectedOutput); |
| 9346 | } |
| 9347 | |
| 9348 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( |
| 9349 | armnn::IWorkloadFactory& workloadFactory, |
| 9350 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9351 | { |
| 9352 | const unsigned int inputShape[] = {4, 3, 1, 1}; |
| 9353 | const unsigned int outputShape[] = {1, 3, 2, 2}; |
| 9354 | |
| 9355 | std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); |
| 9356 | |
| 9357 | std::vector<uint8_t> expectedOutput({ |
| 9358 | // Batch 0, Channel 0, Height (2) x Width (2) |
| 9359 | 1, 7, |
| 9360 | 2, 8, |
| 9361 | |
| 9362 | // Batch 0, Channel 1, Height (2) x Width (2) |
| 9363 | 3, 9, |
| 9364 | 4, 10, |
| 9365 | |
| 9366 | // Batch 0, Channel 2, Height (2) x Width (2) |
| 9367 | 5, 11, |
| 9368 | 6, 12, |
| 9369 | }); |
| 9370 | |
| 9371 | std::vector<unsigned int> blockShape({2, 2}); |
| 9372 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; |
| 9373 | |
| 9374 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9375 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9376 | crops, outputShape, expectedOutput); |
| 9377 | } |
| 9378 | |
| 9379 | LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( |
| 9380 | armnn::IWorkloadFactory& workloadFactory, |
| 9381 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9382 | { |
| 9383 | const unsigned int inputShape[] = {8, 1, 1, 3}; |
| 9384 | const unsigned int outputShape[] = {2, 1, 2, 4}; |
| 9385 | |
| 9386 | std::vector<uint8_t> input({ |
| 9387 | 0, 1, 3, 0, 9, 11, |
| 9388 | 0, 2, 4, 0, 10, 12, |
| 9389 | 0, 5, 7, 0, 13, 15, |
| 9390 | 0, 6, 8, 0, 14, 16 |
| 9391 | }); |
| 9392 | |
| 9393 | std::vector<uint8_t> expectedOutput({ |
| 9394 | 1, 2, 3, 4, |
| 9395 | 5, 6, 7, 8, |
| 9396 | 9, 10, 11, 12, |
| 9397 | 13, 14, 15, 16 |
| 9398 | }); |
| 9399 | |
| 9400 | std::vector<unsigned int> blockShape({2, 2}); |
| 9401 | std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; |
| 9402 | |
| 9403 | return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, |
| 9404 | armnn::DataLayout::NCHW, inputShape, input, blockShape, |
| 9405 | crops, outputShape, expectedOutput); |
| 9406 | } |
| 9407 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9408 | LayerTestResult<float, 4> StridedSlice4DFloat32Test( |
| 9409 | armnn::IWorkloadFactory& workloadFactory, |
| 9410 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9411 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9412 | return StridedSlice4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9413 | } |
| 9414 | |
| 9415 | LayerTestResult<float, 4> StridedSlice4DReverseFloat32Test( |
| 9416 | armnn::IWorkloadFactory& workloadFactory, |
| 9417 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9418 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9419 | return StridedSlice4DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9420 | } |
| 9421 | |
| 9422 | LayerTestResult<float, 4> StridedSliceSimpleStrideFloat32Test( |
| 9423 | armnn::IWorkloadFactory& workloadFactory, |
| 9424 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9425 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9426 | return StridedSliceSimpleStrideTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9427 | } |
| 9428 | |
| 9429 | LayerTestResult<float, 4> StridedSliceSimpleRangeMaskFloat32Test( |
| 9430 | armnn::IWorkloadFactory& workloadFactory, |
| 9431 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9432 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9433 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9434 | } |
| 9435 | |
| 9436 | LayerTestResult<float, 2> StridedSliceShrinkAxisMaskFloat32Test( |
| 9437 | armnn::IWorkloadFactory& workloadFactory, |
| 9438 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9439 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9440 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9441 | } |
| 9442 | |
| 9443 | LayerTestResult<float, 3> StridedSlice3DFloat32Test( |
| 9444 | armnn::IWorkloadFactory& workloadFactory, |
| 9445 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9446 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9447 | return StridedSlice3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9448 | } |
| 9449 | |
| 9450 | LayerTestResult<float, 3> StridedSlice3DReverseFloat32Test( |
| 9451 | armnn::IWorkloadFactory& workloadFactory, |
| 9452 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9453 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9454 | return StridedSlice3DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9455 | } |
| 9456 | |
| 9457 | LayerTestResult<float, 2> StridedSlice2DFloat32Test( |
| 9458 | armnn::IWorkloadFactory& workloadFactory, |
| 9459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9460 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9461 | return StridedSlice2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9462 | } |
| 9463 | |
| 9464 | LayerTestResult<float, 2> StridedSlice2DReverseFloat32Test( |
| 9465 | armnn::IWorkloadFactory& workloadFactory, |
| 9466 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9467 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9468 | return StridedSlice2DReverseTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9469 | } |
| 9470 | |
| 9471 | LayerTestResult<uint8_t, 4> StridedSlice4DUint8Test( |
| 9472 | armnn::IWorkloadFactory& workloadFactory, |
| 9473 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9474 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9475 | return StridedSlice4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9476 | } |
| 9477 | |
| 9478 | LayerTestResult<uint8_t, 4> StridedSlice4DReverseUint8Test( |
| 9479 | armnn::IWorkloadFactory& workloadFactory, |
| 9480 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9481 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9482 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9483 | } |
| 9484 | |
| 9485 | LayerTestResult<uint8_t, 4> StridedSliceSimpleStrideUint8Test( |
| 9486 | armnn::IWorkloadFactory& workloadFactory, |
| 9487 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9488 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9489 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9490 | } |
| 9491 | |
| 9492 | LayerTestResult<uint8_t, 4> StridedSliceSimpleRangeMaskUint8Test( |
| 9493 | armnn::IWorkloadFactory& workloadFactory, |
| 9494 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9495 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9496 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9497 | } |
| 9498 | |
| 9499 | LayerTestResult<uint8_t, 2> StridedSliceShrinkAxisMaskUint8Test( |
| 9500 | armnn::IWorkloadFactory& workloadFactory, |
| 9501 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9502 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9503 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9504 | } |
| 9505 | |
| 9506 | LayerTestResult<uint8_t, 3> StridedSlice3DUint8Test( |
| 9507 | armnn::IWorkloadFactory& workloadFactory, |
| 9508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9509 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9510 | return StridedSlice3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9511 | } |
| 9512 | |
| 9513 | LayerTestResult<uint8_t, 3> StridedSlice3DReverseUint8Test( |
| 9514 | armnn::IWorkloadFactory& workloadFactory, |
| 9515 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9516 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9517 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9518 | } |
| 9519 | |
| 9520 | LayerTestResult<uint8_t, 2> StridedSlice2DUint8Test( |
| 9521 | armnn::IWorkloadFactory& workloadFactory, |
| 9522 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9523 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9524 | return StridedSlice2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9525 | } |
| 9526 | |
| 9527 | LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( |
| 9528 | armnn::IWorkloadFactory& workloadFactory, |
| 9529 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9530 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9531 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 9532 | } |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9533 | |
Matteo Martincigh | 42666a1 | 2019-05-29 08:53:41 +0100 | [diff] [blame] | 9534 | LayerTestResult<int16_t, 4> StridedSlice4DInt16Test( |
| 9535 | armnn::IWorkloadFactory& workloadFactory, |
| 9536 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9537 | { |
| 9538 | return StridedSlice4DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9539 | } |
| 9540 | |
| 9541 | LayerTestResult<int16_t, 4> StridedSlice4DReverseInt16Test( |
| 9542 | armnn::IWorkloadFactory& workloadFactory, |
| 9543 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9544 | { |
| 9545 | return StridedSlice4DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9546 | } |
| 9547 | |
| 9548 | LayerTestResult<int16_t, 4> StridedSliceSimpleStrideInt16Test( |
| 9549 | armnn::IWorkloadFactory& workloadFactory, |
| 9550 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9551 | { |
| 9552 | return StridedSliceSimpleStrideTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9553 | } |
| 9554 | |
| 9555 | LayerTestResult<int16_t, 4> StridedSliceSimpleRangeMaskInt16Test( |
| 9556 | armnn::IWorkloadFactory& workloadFactory, |
| 9557 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9558 | { |
| 9559 | return StridedSliceSimpleRangeMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9560 | } |
| 9561 | |
| 9562 | LayerTestResult<int16_t, 2> StridedSliceShrinkAxisMaskInt16Test( |
| 9563 | armnn::IWorkloadFactory& workloadFactory, |
| 9564 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9565 | { |
| 9566 | return StridedSliceShrinkAxisMaskTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9567 | } |
| 9568 | |
| 9569 | LayerTestResult<int16_t, 3> StridedSlice3DInt16Test( |
| 9570 | armnn::IWorkloadFactory& workloadFactory, |
| 9571 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9572 | { |
| 9573 | return StridedSlice3DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9574 | } |
| 9575 | |
| 9576 | LayerTestResult<int16_t, 3> StridedSlice3DReverseInt16Test( |
| 9577 | armnn::IWorkloadFactory& workloadFactory, |
| 9578 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9579 | { |
| 9580 | return StridedSlice3DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9581 | } |
| 9582 | |
| 9583 | LayerTestResult<int16_t, 2> StridedSlice2DInt16Test( |
| 9584 | armnn::IWorkloadFactory& workloadFactory, |
| 9585 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9586 | { |
| 9587 | return StridedSlice2DTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9588 | } |
| 9589 | |
| 9590 | LayerTestResult<int16_t, 2> StridedSlice2DReverseInt16Test( |
| 9591 | armnn::IWorkloadFactory& workloadFactory, |
| 9592 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9593 | { |
| 9594 | return StridedSlice2DReverseTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9595 | } |
| 9596 | |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9597 | LayerTestResult<float, 4> Debug4DFloat32Test( |
| 9598 | armnn::IWorkloadFactory& workloadFactory, |
| 9599 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9600 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9601 | return Debug4DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9602 | } |
| 9603 | |
| 9604 | LayerTestResult<float, 3> Debug3DFloat32Test( |
| 9605 | armnn::IWorkloadFactory& workloadFactory, |
| 9606 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9607 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9608 | return Debug3DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9609 | } |
| 9610 | |
| 9611 | LayerTestResult<float, 2> Debug2DFloat32Test( |
| 9612 | armnn::IWorkloadFactory& workloadFactory, |
| 9613 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9614 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9615 | return Debug2DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9616 | } |
| 9617 | |
| 9618 | LayerTestResult<float, 1> Debug1DFloat32Test( |
| 9619 | armnn::IWorkloadFactory& workloadFactory, |
| 9620 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9621 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9622 | return Debug1DTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9623 | } |
| 9624 | |
| 9625 | LayerTestResult<uint8_t, 4> Debug4DUint8Test( |
| 9626 | armnn::IWorkloadFactory& workloadFactory, |
| 9627 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9628 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9629 | return Debug4DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9630 | } |
| 9631 | |
| 9632 | LayerTestResult<uint8_t, 3> Debug3DUint8Test( |
| 9633 | armnn::IWorkloadFactory& workloadFactory, |
| 9634 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9635 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9636 | return Debug3DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9637 | } |
| 9638 | |
| 9639 | LayerTestResult<uint8_t, 2> Debug2DUint8Test( |
| 9640 | armnn::IWorkloadFactory& workloadFactory, |
| 9641 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9642 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9643 | return Debug2DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9644 | } |
| 9645 | |
| 9646 | LayerTestResult<uint8_t, 1> Debug1DUint8Test( |
| 9647 | armnn::IWorkloadFactory& workloadFactory, |
| 9648 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9649 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 9650 | return Debug1DTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 9651 | } |
Matteo Martincigh | 4912402 | 2019-01-11 13:25:59 +0000 | [diff] [blame] | 9652 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 9653 | LayerTestResult<float, 1> Gather1DParamsFloatTest( |
| 9654 | armnn::IWorkloadFactory& workloadFactory, |
| 9655 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9656 | { |
| 9657 | return Gather1DParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9658 | } |
| 9659 | |
| 9660 | LayerTestResult<uint8_t, 1> Gather1DParamsUint8Test( |
| 9661 | armnn::IWorkloadFactory& workloadFactory, |
| 9662 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9663 | { |
| 9664 | return Gather1DParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9665 | } |
| 9666 | |
| 9667 | LayerTestResult<float, 2> GatherMultiDimParamsFloatTest( |
| 9668 | armnn::IWorkloadFactory& workloadFactory, |
| 9669 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9670 | { |
| 9671 | return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9672 | } |
| 9673 | |
| 9674 | LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test( |
| 9675 | armnn::IWorkloadFactory& workloadFactory, |
| 9676 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9677 | { |
| 9678 | return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9679 | } |
| 9680 | |
| 9681 | LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest( |
| 9682 | armnn::IWorkloadFactory& workloadFactory, |
| 9683 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9684 | { |
| 9685 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 9686 | } |
| 9687 | |
| 9688 | LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test( |
| 9689 | armnn::IWorkloadFactory& workloadFactory, |
| 9690 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9691 | { |
| 9692 | return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>( |
| 9693 | workloadFactory, memoryManager); |
Matteo Martincigh | 3d6898c | 2019-01-15 16:11:44 +0000 | [diff] [blame] | 9694 | } |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9695 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9696 | LayerTestResult<float, 4> DequantizeSimpleUint8Test( |
Nattapat Chaimanowong | 8a54ac0 | 2019-03-29 15:25:04 +0000 | [diff] [blame] | 9697 | armnn::IWorkloadFactory& workloadFactory, |
| 9698 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9699 | { |
| 9700 | return DequantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9701 | } |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9702 | |
Nattapat Chaimanowong | afa4e3a | 2019-04-02 11:41:45 +0100 | [diff] [blame] | 9703 | LayerTestResult<float, 4> DequantizeOffsetUint8Test( |
| 9704 | armnn::IWorkloadFactory& workloadFactory, |
| 9705 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9706 | { |
| 9707 | return DequantizeOffsetTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9708 | } |
| 9709 | |
| 9710 | LayerTestResult<float, 4> DequantizeSimpleInt16Test( |
| 9711 | armnn::IWorkloadFactory& workloadFactory, |
| 9712 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9713 | { |
| 9714 | return DequantizeSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9715 | } |
| 9716 | |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9717 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 9718 | armnn::IWorkloadFactory& workloadFactory, |
| 9719 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9720 | { |
| 9721 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9722 | } |
| 9723 | |
| 9724 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 9725 | armnn::IWorkloadFactory& workloadFactory, |
| 9726 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9727 | { |
| 9728 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 9729 | } |
| 9730 | |
| 9731 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 9732 | armnn::IWorkloadFactory& workloadFactory, |
| 9733 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 9734 | { |
| 9735 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 9736 | } |