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 | // |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 5 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6 | #include "ClContextControlFixture.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 7 | |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 8 | #include <backends/MemCopyWorkload.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 9 | |
| 10 | #include <backends/aclCommon/test/CreateWorkloadClNeon.hpp> |
| 11 | |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 12 | #include <backends/cl/ClTensorHandle.hpp> |
| 13 | #include <backends/cl/ClWorkloadFactory.hpp> |
| 14 | #include <backends/cl/workloads/ClWorkloads.hpp> |
| 15 | #include <backends/cl/workloads/ClWorkloadUtils.hpp> |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 16 | |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 17 | #include <backends/reference/RefWorkloadFactory.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | |
| 19 | boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, |
| 20 | std::initializer_list<unsigned int> expectedDimensions) |
| 21 | { |
| 22 | return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions); |
| 23 | } |
| 24 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 25 | BOOST_FIXTURE_TEST_SUITE(CreateWorkloadCl, ClContextControlFixture) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 26 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 27 | template <armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 28 | static void ClCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 29 | { |
| 30 | Graph graph; |
| 31 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 32 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 33 | auto workload = CreateActivationWorkloadTest<ClActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 34 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 35 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 36 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 37 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 38 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 39 | |
| 40 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1})); |
| 41 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1})); |
| 42 | } |
| 43 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 44 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 45 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 46 | ClCreateActivationWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 47 | } |
| 48 | |
| 49 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 50 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 51 | ClCreateActivationWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 52 | } |
| 53 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 54 | template <typename WorkloadType, |
| 55 | typename DescriptorType, |
| 56 | typename LayerType, |
| 57 | armnn::DataType DataType> |
| 58 | static void ClCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | { |
| 60 | Graph graph; |
| 61 | ClWorkloadFactory factory; |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 62 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 63 | |
James Conroy | b9bf946 | 2018-09-19 11:58:44 +0100 | [diff] [blame] | 64 | // 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] | 65 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 66 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 67 | auto inputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 68 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 69 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3})); |
| 70 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3})); |
| 71 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 72 | } |
| 73 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 74 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 75 | { |
Nattapat Chaimanowong | cd066ca | 2018-10-10 12:11:50 +0100 | [diff] [blame] | 76 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 77 | AdditionQueueDescriptor, |
| 78 | AdditionLayer, |
| 79 | armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | } |
| 81 | |
| 82 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 83 | { |
Nattapat Chaimanowong | cd066ca | 2018-10-10 12:11:50 +0100 | [diff] [blame] | 84 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 85 | AdditionQueueDescriptor, |
| 86 | AdditionLayer, |
| 87 | armnn::DataType::Float16>(); |
| 88 | } |
| 89 | |
| 90 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 91 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 92 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 93 | SubtractionQueueDescriptor, |
| 94 | SubtractionLayer, |
| 95 | armnn::DataType::Float32>(); |
| 96 | } |
| 97 | |
| 98 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 99 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 100 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 101 | SubtractionQueueDescriptor, |
| 102 | SubtractionLayer, |
| 103 | armnn::DataType::Float16>(); |
| 104 | } |
| 105 | |
| 106 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkloadTest) |
| 107 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 108 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 109 | MultiplicationQueueDescriptor, |
| 110 | MultiplicationLayer, |
| 111 | armnn::DataType::Float32>(); |
| 112 | } |
| 113 | |
| 114 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16WorkloadTest) |
| 115 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 116 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 117 | MultiplicationQueueDescriptor, |
| 118 | MultiplicationLayer, |
| 119 | armnn::DataType::Float16>(); |
| 120 | } |
| 121 | |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 122 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8WorkloadTest) |
| 123 | { |
| 124 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
| 125 | MultiplicationQueueDescriptor, |
| 126 | MultiplicationLayer, |
| 127 | armnn::DataType::QuantisedAsymm8>(); |
| 128 | } |
| 129 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 130 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 131 | { |
| 132 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 133 | DivisionQueueDescriptor, |
| 134 | DivisionLayer, |
| 135 | armnn::DataType::Float32>(); |
| 136 | } |
| 137 | |
| 138 | BOOST_AUTO_TEST_CASE(CreateDivisionFloat16WorkloadTest) |
| 139 | { |
| 140 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 141 | DivisionQueueDescriptor, |
| 142 | DivisionLayer, |
| 143 | armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 144 | } |
| 145 | |
| 146 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
| 147 | static void ClCreateBatchNormalizationWorkloadTest() |
| 148 | { |
| 149 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 150 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 151 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 152 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 153 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 154 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 155 | // Checks that inputs/outputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 156 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 157 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 158 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 159 | |
| 160 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 1, 1})); |
| 161 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3, 1, 1})); |
| 162 | } |
| 163 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 164 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 165 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 166 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 167 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 168 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 169 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) |
| 170 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 171 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 172 | } |
| 173 | |
| 174 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload) |
| 175 | { |
| 176 | Graph graph; |
| 177 | ClWorkloadFactory factory; |
| 178 | auto workload = CreateConvertFp16ToFp32WorkloadTest<ClConvertFp16ToFp32Workload>(factory, graph); |
| 179 | |
| 180 | ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData(); |
| 181 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 182 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 183 | |
| 184 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 185 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 186 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 187 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 188 | } |
| 189 | |
| 190 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload) |
| 191 | { |
| 192 | Graph graph; |
| 193 | ClWorkloadFactory factory; |
| 194 | auto workload = CreateConvertFp32ToFp16WorkloadTest<ClConvertFp32ToFp16Workload>(factory, graph); |
| 195 | |
| 196 | ConvertFp32ToFp16QueueDescriptor queueDescriptor = workload->GetData(); |
| 197 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 198 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 199 | |
| 200 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 201 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 202 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 203 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 204 | } |
| 205 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 206 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
| 207 | static void ClConvolution2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 208 | { |
| 209 | Graph graph; |
| 210 | ClWorkloadFactory factory; |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 211 | auto workload = CreateConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, |
| 212 | graph, |
| 213 | dataLayout); |
| 214 | |
| 215 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 216 | std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 217 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 218 | std::initializer_list<unsigned int>({2, 2, 2, 10}) : std::initializer_list<unsigned int>({2, 2, 10, 2}); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 219 | |
| 220 | // 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] | 221 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 222 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 223 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 224 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 225 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 226 | } |
| 227 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 228 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 229 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 230 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 231 | } |
| 232 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 233 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 234 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 235 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 236 | } |
| 237 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 238 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
| 239 | { |
| 240 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 241 | } |
| 242 | |
| 243 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 244 | { |
| 245 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 246 | } |
| 247 | |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 248 | template <typename DepthwiseConvolutionWorkloadType, typename armnn::DataType DataType> |
| 249 | static void ClDepthwiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 250 | { |
| 251 | Graph graph; |
| 252 | ClWorkloadFactory factory; |
| 253 | |
| 254 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<DepthwiseConvolutionWorkloadType, DataType> |
| 255 | (factory, graph, dataLayout); |
| 256 | |
| 257 | // Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest). |
| 258 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 259 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 260 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 261 | |
| 262 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 263 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 264 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 265 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 266 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 267 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 268 | |
| 269 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 270 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
| 271 | } |
| 272 | |
| 273 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolutionFloat32NhwcWorkload) |
| 274 | { |
| 275 | ClDepthwiseConvolutionWorkloadTest<ClDepthwiseConvolutionWorkload, DataType::Float32>(DataLayout::NHWC); |
| 276 | } |
| 277 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 278 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 279 | static void ClDirectConvolution2dWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 280 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 281 | Graph graph; |
| 282 | ClWorkloadFactory factory; |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 283 | auto workload = CreateDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 284 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 285 | // 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] | 286 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 287 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 288 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 289 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6})); |
| 290 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6})); |
| 291 | } |
| 292 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 293 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 294 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 295 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 296 | } |
| 297 | |
| 298 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloat16Workload) |
| 299 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 300 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 301 | } |
| 302 | |
| 303 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dUint8Workload) |
| 304 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 305 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 306 | } |
| 307 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 308 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 309 | static void ClCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 310 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 311 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 312 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 313 | auto workload = |
| 314 | CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 315 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 316 | // 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] | 317 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 318 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 319 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 320 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5})); |
| 321 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7})); |
| 322 | } |
| 323 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 324 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 325 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkloadTest) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 326 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 327 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 328 | } |
| 329 | |
| 330 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16WorkloadTest) |
| 331 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 332 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 333 | } |
| 334 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 335 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 336 | static void ClNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 337 | { |
| 338 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 339 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 340 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 341 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 342 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 343 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 344 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 345 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 346 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 347 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 348 | |
| 349 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 5, 5, 1})); |
| 350 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 5, 5, 1})); |
| 351 | } |
| 352 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 353 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 354 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 355 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 356 | } |
| 357 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 358 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 359 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 360 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 361 | } |
| 362 | |
| 363 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NhwcWorkload) |
| 364 | { |
| 365 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 366 | } |
| 367 | |
| 368 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 369 | { |
| 370 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 371 | } |
| 372 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 373 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 374 | static void ClPooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 375 | { |
| 376 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 377 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 378 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 379 | auto workload = CreatePooling2dWorkloadTest<ClPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 380 | |
| 381 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 382 | std::initializer_list<unsigned int>({3, 2, 5, 5}) : std::initializer_list<unsigned int>({3, 5, 5, 2}); |
| 383 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 384 | std::initializer_list<unsigned int>({3, 2, 2, 4}) : std::initializer_list<unsigned int>({3, 2, 4, 2}); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 385 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 386 | // Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 387 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 388 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 389 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 390 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 391 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 392 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | } |
| 394 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 395 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 396 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 397 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 398 | } |
| 399 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 400 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 401 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 402 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 403 | } |
| 404 | |
| 405 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NchwWorkload) |
| 406 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 407 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 408 | } |
| 409 | |
| 410 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NhwcWorkload) |
| 411 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 412 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 413 | } |
| 414 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 415 | template <typename armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | static void ClCreateReshapeWorkloadTest() |
| 417 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 418 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 419 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 420 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 421 | auto workload = CreateReshapeWorkloadTest<ClReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 422 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 423 | // 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] | 424 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 425 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 426 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 427 | |
| 428 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 429 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4})); // Leading size 1 dimensions are collapsed by ACL. |
| 430 | } |
| 431 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 432 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 433 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 434 | ClCreateReshapeWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 435 | } |
| 436 | |
| 437 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 438 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 439 | ClCreateReshapeWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | } |
| 441 | |
| 442 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 443 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 444 | ClCreateReshapeWorkloadTest<armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 445 | } |
| 446 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 447 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 448 | static void ClSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 449 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 450 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 451 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 453 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 454 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 455 | // Checks that inputs/outputs are as we expect them (see definition of ClSoftmaxFloatWorkload). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 456 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 457 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 458 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 459 | |
| 460 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 461 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1})); |
| 462 | } |
| 463 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 464 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 465 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkloadTest) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 466 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 467 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 468 | } |
| 469 | |
| 470 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16WorkloadTest) |
| 471 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 472 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 473 | } |
| 474 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 475 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 476 | static void ClSplitterWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 477 | { |
| 478 | Graph graph; |
| 479 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 480 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 481 | auto workload = CreateSplitterWorkloadTest<ClSplitterWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 482 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 483 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 484 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 485 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 486 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7})); |
| 487 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 488 | auto outputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 489 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7})); |
| 490 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 491 | auto outputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 492 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7})); |
| 493 | |
| 494 | auto outputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 495 | // 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] | 496 | // 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] | 497 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {7, 7})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 498 | } |
| 499 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 500 | BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 501 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 502 | ClSplitterWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 503 | } |
| 504 | |
| 505 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat16Workload) |
| 506 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 507 | ClSplitterWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 508 | } |
| 509 | |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 510 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 511 | static void ClSplitterMergerTest() |
| 512 | { |
| 513 | // Tests that it is possible to decide which output of the splitter layer |
| 514 | // should be lined to which input of the merger layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 515 | // We test that is is possible to specify 0th output |
| 516 | // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input |
| 517 | // of the merger. |
| 518 | |
| 519 | Graph graph; |
| 520 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 521 | |
| 522 | auto workloads = |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 523 | CreateSplitterMergerWorkloadTest<ClSplitterWorkload, ClMergerWorkload, DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 524 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 525 | |
| 526 | auto wlSplitter = std::move(workloads.first); |
| 527 | auto wlMerger = std::move(workloads.second); |
| 528 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 529 | //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] | 530 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 531 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 532 | armnn::ClSubTensorHandle* mIn0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 533 | armnn::ClSubTensorHandle* mIn1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 534 | |
| 535 | BOOST_TEST(sOut0); |
| 536 | BOOST_TEST(sOut1); |
| 537 | BOOST_TEST(mIn0); |
| 538 | BOOST_TEST(mIn1); |
| 539 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 540 | //Fliped order of inputs/outputs. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 541 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 542 | BOOST_TEST(validDataPointers); |
| 543 | |
| 544 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 545 | //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] | 546 | bool validSubTensorParents = (mIn0->GetTensor().parent() == mIn1->GetTensor().parent()) |
| 547 | && (sOut0->GetTensor().parent() == sOut1->GetTensor().parent()); |
| 548 | |
| 549 | BOOST_TEST(validSubTensorParents); |
| 550 | } |
| 551 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 552 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 553 | { |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 554 | ClSplitterMergerTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 555 | } |
| 556 | |
| 557 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat16Workload) |
| 558 | { |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 559 | ClSplitterMergerTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 560 | } |
| 561 | |
| 562 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 564 | { |
| 565 | // 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] | 566 | // 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] | 567 | |
| 568 | Graph graph; |
| 569 | ClWorkloadFactory factory; |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 570 | std::unique_ptr<ClSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 571 | std::unique_ptr<ClActivationWorkload> wlActiv0_0; |
| 572 | std::unique_ptr<ClActivationWorkload> wlActiv0_1; |
| 573 | std::unique_ptr<ClActivationWorkload> wlActiv1_0; |
| 574 | std::unique_ptr<ClActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 575 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 576 | CreateSplitterMultipleInputsOneOutputWorkloadTest<ClSplitterWorkload, |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 577 | ClActivationWorkload, armnn::DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 578 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 579 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 580 | //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] | 581 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 582 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 583 | armnn::ClSubTensorHandle* activ0_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 584 | armnn::ClSubTensorHandle* activ0_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 585 | armnn::ClSubTensorHandle* activ1_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 586 | armnn::ClSubTensorHandle* activ1_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 587 | |
| 588 | |
| 589 | BOOST_TEST(sOut0); |
| 590 | BOOST_TEST(sOut1); |
| 591 | BOOST_TEST(activ0_0Im); |
| 592 | BOOST_TEST(activ0_1Im); |
| 593 | BOOST_TEST(activ1_0Im); |
| 594 | BOOST_TEST(activ1_1Im); |
| 595 | |
| 596 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 597 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 598 | |
| 599 | BOOST_TEST(validDataPointers); |
| 600 | } |
| 601 | |
| 602 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsCl) |
| 603 | { |
| 604 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 605 | CreateMemCopyWorkloads<IClTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 606 | } |
| 607 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 608 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 609 | static void ClL2NormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 610 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 611 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 612 | ClWorkloadFactory factory; |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 613 | auto workload = |
| 614 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 615 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 616 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 617 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 618 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 619 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 620 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 621 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 622 | ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 623 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 624 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 625 | ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 626 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 627 | |
| 628 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 629 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 630 | } |
| 631 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 632 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNchwWorkload) |
| 633 | { |
| 634 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 635 | } |
| 636 | |
| 637 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNhwcWorkload) |
| 638 | { |
| 639 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 640 | } |
| 641 | |
| 642 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 643 | { |
| 644 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 645 | } |
| 646 | |
| 647 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 648 | { |
| 649 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 650 | } |
| 651 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 652 | template <typename LstmWorkloadType> |
| 653 | static void ClCreateLstmWorkloadTest() |
| 654 | { |
| 655 | Graph graph; |
| 656 | ClWorkloadFactory factory; |
| 657 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 658 | |
| 659 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 660 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 661 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 662 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 })); |
| 663 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 })); |
| 664 | } |
| 665 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 666 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 667 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 668 | ClCreateLstmWorkloadTest<ClLstmFloatWorkload>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 669 | } |
| 670 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 671 | template <typename ResizeBilinearWorkloadType, typename armnn::DataType DataType> |
| 672 | static void ClResizeBilinearWorkloadTest(DataLayout dataLayout) |
| 673 | { |
| 674 | Graph graph; |
| 675 | ClWorkloadFactory factory; |
| 676 | |
| 677 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 678 | |
| 679 | // Checks that inputs/outputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). |
| 680 | ResizeBilinearQueueDescriptor queueDescriptor = workload->GetData(); |
| 681 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 682 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 683 | |
| 684 | switch (dataLayout) |
| 685 | { |
| 686 | case DataLayout::NHWC: |
| 687 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 688 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 689 | break; |
| 690 | default: // NCHW |
| 691 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 692 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 693 | } |
| 694 | } |
| 695 | |
| 696 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NchwWorkload) |
| 697 | { |
| 698 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 699 | } |
| 700 | |
| 701 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NchwWorkload) |
| 702 | { |
| 703 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 704 | } |
| 705 | |
| 706 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NhwcWorkload) |
| 707 | { |
| 708 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 709 | } |
| 710 | |
| 711 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NhwcWorkload) |
| 712 | { |
| 713 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 714 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 715 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 716 | BOOST_AUTO_TEST_SUITE_END() |