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 | // |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame^] | 5 | #include <backends/cl/ClWorkloadFactory.hpp> |
David Beck | b4540be | 2018-09-24 13:18:27 +0100 | [diff] [blame] | 6 | #include <backends/reference/RefWorkloadFactory.hpp> |
| 7 | #include <backends/MemCopyWorkload.hpp> |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame^] | 8 | #include <backends/cl/workloads/ClWorkloadUtils.hpp> |
| 9 | #include <backends/cl/workloads/ClWorkloads.hpp> |
| 10 | #include <backends/cl/ClTensorHandle.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 11 | #include "ClContextControlFixture.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 12 | |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame^] | 13 | #include <test/CreateWorkloadClNeon.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
| 15 | boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, |
| 16 | std::initializer_list<unsigned int> expectedDimensions) |
| 17 | { |
| 18 | return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions); |
| 19 | } |
| 20 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 21 | BOOST_FIXTURE_TEST_SUITE(CreateWorkloadCl, ClContextControlFixture) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 23 | template <typename ActivationWorkloadType, armnn::DataType DataType> |
| 24 | static void ClCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | { |
| 26 | Graph graph; |
| 27 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 29 | auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 30 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 31 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 32 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 33 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 34 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 35 | |
| 36 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1})); |
| 37 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1})); |
| 38 | } |
| 39 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 40 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 41 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 42 | ClCreateActivationWorkloadTest<ClActivationFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 43 | } |
| 44 | |
| 45 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 46 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 47 | ClCreateActivationWorkloadTest<ClActivationFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 48 | } |
| 49 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 50 | template <typename WorkloadType, |
| 51 | typename DescriptorType, |
| 52 | typename LayerType, |
| 53 | armnn::DataType DataType> |
| 54 | static void ClCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 55 | { |
| 56 | Graph graph; |
| 57 | ClWorkloadFactory factory; |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 58 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | |
James Conroy | b9bf946 | 2018-09-19 11:58:44 +0100 | [diff] [blame] | 60 | // Checks that inputs/outputs are as we expect them (see definition of CreateArithmeticWorkloadTest). |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 61 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 62 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 63 | auto inputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 64 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 65 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3})); |
| 66 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3})); |
| 67 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 68 | } |
| 69 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 70 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 71 | { |
David Beck | 0a710c4 | 2018-09-11 15:21:14 +0100 | [diff] [blame] | 72 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 73 | AdditionQueueDescriptor, |
| 74 | AdditionLayer, |
| 75 | armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | } |
| 77 | |
| 78 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 79 | { |
David Beck | 0a710c4 | 2018-09-11 15:21:14 +0100 | [diff] [blame] | 80 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 81 | AdditionQueueDescriptor, |
| 82 | AdditionLayer, |
| 83 | armnn::DataType::Float16>(); |
| 84 | } |
| 85 | |
| 86 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 87 | { |
David Beck | 0a710c4 | 2018-09-11 15:21:14 +0100 | [diff] [blame] | 88 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 89 | SubtractionQueueDescriptor, |
| 90 | SubtractionLayer, |
| 91 | armnn::DataType::Float32>(); |
| 92 | } |
| 93 | |
| 94 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 95 | { |
David Beck | 0a710c4 | 2018-09-11 15:21:14 +0100 | [diff] [blame] | 96 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 97 | SubtractionQueueDescriptor, |
| 98 | SubtractionLayer, |
| 99 | armnn::DataType::Float16>(); |
| 100 | } |
| 101 | |
| 102 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkloadTest) |
| 103 | { |
| 104 | ClCreateArithmethicWorkloadTest<ClMultiplicationFloatWorkload, |
| 105 | MultiplicationQueueDescriptor, |
| 106 | MultiplicationLayer, |
| 107 | armnn::DataType::Float32>(); |
| 108 | } |
| 109 | |
| 110 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16WorkloadTest) |
| 111 | { |
| 112 | ClCreateArithmethicWorkloadTest<ClMultiplicationFloatWorkload, |
| 113 | MultiplicationQueueDescriptor, |
| 114 | MultiplicationLayer, |
| 115 | armnn::DataType::Float16>(); |
| 116 | } |
| 117 | |
| 118 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 119 | { |
| 120 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 121 | DivisionQueueDescriptor, |
| 122 | DivisionLayer, |
| 123 | armnn::DataType::Float32>(); |
| 124 | } |
| 125 | |
| 126 | BOOST_AUTO_TEST_CASE(CreateDivisionFloat16WorkloadTest) |
| 127 | { |
| 128 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 129 | DivisionQueueDescriptor, |
| 130 | DivisionLayer, |
| 131 | armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 132 | } |
| 133 | |
| 134 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
| 135 | static void ClCreateBatchNormalizationWorkloadTest() |
| 136 | { |
| 137 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 138 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 139 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 140 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 141 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 142 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 143 | // Checks that inputs/outputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 144 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 145 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 146 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 147 | |
| 148 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 1, 1})); |
| 149 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3, 1, 1})); |
| 150 | } |
| 151 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 152 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 154 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 155 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 156 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 157 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) |
| 158 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 159 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 160 | } |
| 161 | |
| 162 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload) |
| 163 | { |
| 164 | Graph graph; |
| 165 | ClWorkloadFactory factory; |
| 166 | auto workload = CreateConvertFp16ToFp32WorkloadTest<ClConvertFp16ToFp32Workload>(factory, graph); |
| 167 | |
| 168 | ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData(); |
| 169 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 170 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 171 | |
| 172 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 173 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 174 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 175 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 176 | } |
| 177 | |
| 178 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload) |
| 179 | { |
| 180 | Graph graph; |
| 181 | ClWorkloadFactory factory; |
| 182 | auto workload = CreateConvertFp32ToFp16WorkloadTest<ClConvertFp32ToFp16Workload>(factory, graph); |
| 183 | |
| 184 | ConvertFp32ToFp16QueueDescriptor queueDescriptor = workload->GetData(); |
| 185 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 186 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 187 | |
| 188 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 189 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 190 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 191 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 192 | } |
| 193 | |
| 194 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
| 195 | static void ClConvolution2dWorkloadTest() |
| 196 | { |
| 197 | Graph graph; |
| 198 | ClWorkloadFactory factory; |
| 199 | auto workload = CreateConvolution2dWorkloadTest<Convolution2dWorkloadType, DataType> |
| 200 | (factory, graph); |
| 201 | |
| 202 | // Checks that outputs and inputs are as we expect them (see definition of CreateConvolution2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 203 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 204 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 205 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 206 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 8, 16})); |
| 207 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 2, 10})); |
| 208 | } |
| 209 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 210 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 211 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 212 | ClConvolution2dWorkloadTest<ClConvolution2dFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 213 | } |
| 214 | |
| 215 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16Workload) |
| 216 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 217 | ClConvolution2dWorkloadTest<ClConvolution2dFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 218 | } |
| 219 | |
| 220 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 221 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
| 222 | static void ClDirectConvolution2dWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 223 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 224 | Graph graph; |
| 225 | ClWorkloadFactory factory; |
| 226 | auto workload = CreateDirectConvolution2dWorkloadTest<Convolution2dWorkloadType, DataType>( |
| 227 | factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 229 | // Checks that outputs and inputs are as we expect them (see definition of CreateDirectConvolution2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 230 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 231 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 232 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 233 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6})); |
| 234 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6})); |
| 235 | } |
| 236 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 237 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 238 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 239 | ClDirectConvolution2dWorkloadTest<ClConvolution2dFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 240 | } |
| 241 | |
| 242 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloat16Workload) |
| 243 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 244 | ClDirectConvolution2dWorkloadTest<ClConvolution2dFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 245 | } |
| 246 | |
| 247 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dUint8Workload) |
| 248 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 249 | ClDirectConvolution2dWorkloadTest<ClConvolution2dUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 250 | } |
| 251 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 252 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 253 | static void ClCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 254 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 255 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 256 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 257 | auto workload = |
| 258 | CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 259 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 260 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 261 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 262 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 263 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 264 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5})); |
| 265 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7})); |
| 266 | } |
| 267 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 268 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 269 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkloadTest) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 270 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 271 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 272 | } |
| 273 | |
| 274 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16WorkloadTest) |
| 275 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 276 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 277 | } |
| 278 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 279 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
| 280 | static void ClNormalizationWorkloadTest() |
| 281 | { |
| 282 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 283 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 284 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 285 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType> |
| 286 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 287 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 288 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 289 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 290 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 291 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 292 | |
| 293 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 5, 5, 1})); |
| 294 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 5, 5, 1})); |
| 295 | } |
| 296 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 297 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 298 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 299 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 300 | } |
| 301 | |
| 302 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16Workload) |
| 303 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 304 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 305 | } |
| 306 | |
| 307 | template <typename Pooling2dWorkloadType, typename armnn::DataType DataType> |
| 308 | static void ClPooling2dWorkloadTest() |
| 309 | { |
| 310 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 311 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 312 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 313 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 314 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 315 | // Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 316 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 317 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 318 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 319 | |
| 320 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 5, 5})); |
| 321 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 2, 4})); |
| 322 | } |
| 323 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 324 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 325 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 326 | ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 327 | } |
| 328 | |
| 329 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 330 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 331 | ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 332 | } |
| 333 | |
| 334 | template <typename ReshapeWorkloadType, typename armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 335 | static void ClCreateReshapeWorkloadTest() |
| 336 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 337 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 338 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 339 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 340 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 341 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 342 | // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 343 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 344 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 345 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 346 | |
| 347 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 348 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4})); // Leading size 1 dimensions are collapsed by ACL. |
| 349 | } |
| 350 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 351 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 352 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 353 | ClCreateReshapeWorkloadTest<ClReshapeFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 354 | } |
| 355 | |
| 356 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 357 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 358 | ClCreateReshapeWorkloadTest<ClReshapeFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 359 | } |
| 360 | |
| 361 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 362 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 363 | ClCreateReshapeWorkloadTest<ClReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | } |
| 365 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 366 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 367 | static void ClSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 368 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 369 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 370 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 371 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 372 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 373 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 374 | // Checks that inputs/outputs are as we expect them (see definition of ClSoftmaxFloatWorkload). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 375 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 376 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 377 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 378 | |
| 379 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 380 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1})); |
| 381 | } |
| 382 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 383 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 384 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkloadTest) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 385 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 386 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 387 | } |
| 388 | |
| 389 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16WorkloadTest) |
| 390 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 391 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 392 | } |
| 393 | |
| 394 | template <typename SplitterWorkloadType, typename armnn::DataType DataType> |
| 395 | static void ClSplitterWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 396 | { |
| 397 | Graph graph; |
| 398 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 399 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 400 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 401 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 402 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 403 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 404 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 405 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7})); |
| 406 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 407 | auto outputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 408 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7})); |
| 409 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 410 | auto outputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 411 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7})); |
| 412 | |
| 413 | auto outputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 414 | // NOTE: At the moment the CL collapses the tensor to a 2 dim when dimension zero = 1 |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 415 | // we are raising this difference between the NEON and CL libs as an issue with the compute library team. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 416 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {7, 7})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 417 | } |
| 418 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 419 | BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 420 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 421 | ClSplitterWorkloadTest<ClSplitterFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 422 | } |
| 423 | |
| 424 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat16Workload) |
| 425 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 426 | ClSplitterWorkloadTest<ClSplitterFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 427 | } |
| 428 | |
| 429 | template <typename SplitterWorkloadType, typename MergerWorkloadType, typename armnn::DataType DataType> |
| 430 | static void ClSplitterMergerTest() |
| 431 | { |
| 432 | // Tests that it is possible to decide which output of the splitter layer |
| 433 | // should be lined to which input of the merger layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 434 | // We test that is is possible to specify 0th output |
| 435 | // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input |
| 436 | // of the merger. |
| 437 | |
| 438 | Graph graph; |
| 439 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | |
| 441 | auto workloads = |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | CreateSplitterMergerWorkloadTest<SplitterWorkloadType, MergerWorkloadType, DataType> |
| 443 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 444 | |
| 445 | auto wlSplitter = std::move(workloads.first); |
| 446 | auto wlMerger = std::move(workloads.second); |
| 447 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 448 | //Checks that the index of inputs/outputs matches what we declared on InputDescriptor construction. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 449 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 450 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 451 | armnn::ClSubTensorHandle* mIn0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 452 | armnn::ClSubTensorHandle* mIn1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 453 | |
| 454 | BOOST_TEST(sOut0); |
| 455 | BOOST_TEST(sOut1); |
| 456 | BOOST_TEST(mIn0); |
| 457 | BOOST_TEST(mIn1); |
| 458 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 459 | //Fliped order of inputs/outputs. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 460 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 461 | BOOST_TEST(validDataPointers); |
| 462 | |
| 463 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 464 | //Also make sure that the inputs are subtensors of one tensor and outputs are sub tensors of another tensor. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 465 | bool validSubTensorParents = (mIn0->GetTensor().parent() == mIn1->GetTensor().parent()) |
| 466 | && (sOut0->GetTensor().parent() == sOut1->GetTensor().parent()); |
| 467 | |
| 468 | BOOST_TEST(validSubTensorParents); |
| 469 | } |
| 470 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 471 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 472 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 473 | ClSplitterMergerTest<ClSplitterFloatWorkload, ClMergerFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 474 | } |
| 475 | |
| 476 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat16Workload) |
| 477 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 478 | ClSplitterMergerTest<ClSplitterFloatWorkload, ClMergerFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 479 | } |
| 480 | |
| 481 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 482 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 483 | { |
| 484 | // Test that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 485 | // We create a splitter with two outputs. That each of those outputs is used by two different activation layers. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 486 | |
| 487 | Graph graph; |
| 488 | ClWorkloadFactory factory; |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 489 | std::unique_ptr<ClSplitterFloatWorkload> wlSplitter; |
| 490 | std::unique_ptr<ClActivationFloatWorkload> wlActiv0_0; |
| 491 | std::unique_ptr<ClActivationFloatWorkload> wlActiv0_1; |
| 492 | std::unique_ptr<ClActivationFloatWorkload> wlActiv1_0; |
| 493 | std::unique_ptr<ClActivationFloatWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 494 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 495 | CreateSplitterMultipleInputsOneOutputWorkloadTest<ClSplitterFloatWorkload, |
| 496 | ClActivationFloatWorkload, armnn::DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 497 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 498 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 499 | //Checks that the index of inputs/outputs matches what we declared on InputDescriptor construction. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 501 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 502 | armnn::ClSubTensorHandle* activ0_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 503 | armnn::ClSubTensorHandle* activ0_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 504 | armnn::ClSubTensorHandle* activ1_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 505 | armnn::ClSubTensorHandle* activ1_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 506 | |
| 507 | |
| 508 | BOOST_TEST(sOut0); |
| 509 | BOOST_TEST(sOut1); |
| 510 | BOOST_TEST(activ0_0Im); |
| 511 | BOOST_TEST(activ0_1Im); |
| 512 | BOOST_TEST(activ1_0Im); |
| 513 | BOOST_TEST(activ1_1Im); |
| 514 | |
| 515 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 516 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 517 | |
| 518 | BOOST_TEST(validDataPointers); |
| 519 | } |
| 520 | |
| 521 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsCl) |
| 522 | { |
| 523 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 524 | CreateMemCopyWorkloads<IClTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 525 | } |
| 526 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 527 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 528 | static void ClL2NormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 529 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 530 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 531 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 532 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 533 | auto workload = CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType> |
| 534 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 535 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 536 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 537 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 538 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 539 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 540 | |
| 541 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 5, 20, 50, 67 })); |
| 542 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 5, 20, 50, 67 })); |
| 543 | } |
| 544 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 545 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNchwWorkload) |
| 546 | { |
| 547 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 548 | } |
| 549 | |
| 550 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNhwcWorkload) |
| 551 | { |
| 552 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 553 | } |
| 554 | |
| 555 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 556 | { |
| 557 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 558 | } |
| 559 | |
| 560 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 561 | { |
| 562 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 563 | } |
| 564 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 565 | template <typename LstmWorkloadType> |
| 566 | static void ClCreateLstmWorkloadTest() |
| 567 | { |
| 568 | Graph graph; |
| 569 | ClWorkloadFactory factory; |
| 570 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 571 | |
| 572 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 573 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 574 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 575 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 })); |
| 576 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 })); |
| 577 | } |
| 578 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 579 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 580 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 581 | ClCreateLstmWorkloadTest<ClLstmFloatWorkload>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 582 | } |
| 583 | |
| 584 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 585 | BOOST_AUTO_TEST_SUITE_END() |