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" |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 7 | #include "ClWorkloadFactoryHelper.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 9 | #include <backendsCommon/MemCopyWorkload.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 10 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 11 | #include <aclCommon/test/CreateWorkloadClNeon.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 12 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 13 | #include <cl/ClTensorHandle.hpp> |
| 14 | #include <cl/ClWorkloadFactory.hpp> |
| 15 | #include <cl/workloads/ClWorkloads.hpp> |
| 16 | #include <cl/workloads/ClWorkloadUtils.hpp> |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 17 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, |
| 19 | std::initializer_list<unsigned int> expectedDimensions) |
| 20 | { |
| 21 | return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions); |
| 22 | } |
| 23 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 24 | BOOST_FIXTURE_TEST_SUITE(CreateWorkloadCl, ClContextControlFixture) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 26 | template <armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 27 | static void ClCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | { |
| 29 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 30 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 31 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 32 | auto workload = CreateActivationWorkloadTest<ClActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 33 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 34 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 35 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 36 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 37 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 38 | |
| 39 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1})); |
| 40 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1})); |
| 41 | } |
| 42 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 43 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 44 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 45 | ClCreateActivationWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 46 | } |
| 47 | |
| 48 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 49 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 50 | ClCreateActivationWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 51 | } |
| 52 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 53 | template <typename WorkloadType, |
| 54 | typename DescriptorType, |
| 55 | typename LayerType, |
| 56 | armnn::DataType DataType> |
| 57 | static void ClCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 58 | { |
| 59 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 60 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 61 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 62 | |
James Conroy | b9bf946 | 2018-09-19 11:58:44 +0100 | [diff] [blame] | 63 | // 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] | 64 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 65 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 66 | auto inputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 67 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 68 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3})); |
| 69 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3})); |
| 70 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 71 | } |
| 72 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 73 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 74 | { |
Nattapat Chaimanowong | cd066ca | 2018-10-10 12:11:50 +0100 | [diff] [blame] | 75 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 76 | AdditionQueueDescriptor, |
| 77 | AdditionLayer, |
| 78 | armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 79 | } |
| 80 | |
| 81 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 82 | { |
Nattapat Chaimanowong | cd066ca | 2018-10-10 12:11:50 +0100 | [diff] [blame] | 83 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 84 | AdditionQueueDescriptor, |
| 85 | AdditionLayer, |
| 86 | armnn::DataType::Float16>(); |
| 87 | } |
| 88 | |
| 89 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 90 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 91 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 92 | SubtractionQueueDescriptor, |
| 93 | SubtractionLayer, |
| 94 | armnn::DataType::Float32>(); |
| 95 | } |
| 96 | |
| 97 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 98 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 99 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 100 | SubtractionQueueDescriptor, |
| 101 | SubtractionLayer, |
| 102 | armnn::DataType::Float16>(); |
| 103 | } |
| 104 | |
| 105 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkloadTest) |
| 106 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 107 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 108 | MultiplicationQueueDescriptor, |
| 109 | MultiplicationLayer, |
| 110 | armnn::DataType::Float32>(); |
| 111 | } |
| 112 | |
| 113 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16WorkloadTest) |
| 114 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 115 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 116 | MultiplicationQueueDescriptor, |
| 117 | MultiplicationLayer, |
| 118 | armnn::DataType::Float16>(); |
| 119 | } |
| 120 | |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 121 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8WorkloadTest) |
| 122 | { |
| 123 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
| 124 | MultiplicationQueueDescriptor, |
| 125 | MultiplicationLayer, |
| 126 | armnn::DataType::QuantisedAsymm8>(); |
| 127 | } |
| 128 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 129 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 130 | { |
| 131 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 132 | DivisionQueueDescriptor, |
| 133 | DivisionLayer, |
| 134 | armnn::DataType::Float32>(); |
| 135 | } |
| 136 | |
| 137 | BOOST_AUTO_TEST_CASE(CreateDivisionFloat16WorkloadTest) |
| 138 | { |
| 139 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 140 | DivisionQueueDescriptor, |
| 141 | DivisionLayer, |
| 142 | armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 143 | } |
| 144 | |
| 145 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 146 | static void ClCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 147 | { |
| 148 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 149 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 150 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 152 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 154 | // Checks that inputs/outputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 155 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 156 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 157 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 158 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 159 | switch (dataLayout) |
| 160 | { |
| 161 | case DataLayout::NHWC: |
| 162 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 163 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4, 4, 3 })); |
| 164 | break; |
| 165 | default: // NCHW |
| 166 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 167 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 4, 4 })); |
| 168 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 169 | } |
| 170 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 171 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 172 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 173 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 174 | armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 175 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 176 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 177 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 178 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 179 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 180 | armnn::DataType::Float16>(DataLayout::NCHW); |
| 181 | } |
| 182 | |
| 183 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 184 | { |
| 185 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 186 | armnn::DataType::Float32>(DataLayout::NHWC); |
| 187 | } |
| 188 | |
| 189 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationNhwcFloat16NhwcWorkload) |
| 190 | { |
| 191 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 192 | armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 193 | } |
| 194 | |
| 195 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload) |
| 196 | { |
| 197 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 198 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 199 | auto workload = CreateConvertFp16ToFp32WorkloadTest<ClConvertFp16ToFp32Workload>(factory, graph); |
| 200 | |
| 201 | ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData(); |
| 202 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 203 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 204 | |
| 205 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 206 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 207 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 208 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 209 | } |
| 210 | |
| 211 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload) |
| 212 | { |
| 213 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 214 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 215 | auto workload = CreateConvertFp32ToFp16WorkloadTest<ClConvertFp32ToFp16Workload>(factory, graph); |
| 216 | |
| 217 | ConvertFp32ToFp16QueueDescriptor queueDescriptor = workload->GetData(); |
| 218 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 219 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 220 | |
| 221 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 222 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 223 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 224 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 225 | } |
| 226 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 227 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
| 228 | static void ClConvolution2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 229 | { |
| 230 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 231 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 232 | auto workload = CreateConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, |
| 233 | graph, |
| 234 | dataLayout); |
| 235 | |
| 236 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 237 | std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 238 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 239 | 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] | 240 | |
| 241 | // 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] | 242 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 243 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 244 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 245 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 246 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 247 | } |
| 248 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 249 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 250 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 251 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 252 | } |
| 253 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 254 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 255 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 256 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 257 | } |
| 258 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 259 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
| 260 | { |
| 261 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 262 | } |
| 263 | |
| 264 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 265 | { |
| 266 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 267 | } |
| 268 | |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 269 | template <typename DepthwiseConvolutionWorkloadType, typename armnn::DataType DataType> |
| 270 | static void ClDepthwiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 271 | { |
| 272 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 273 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 274 | |
| 275 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<DepthwiseConvolutionWorkloadType, DataType> |
| 276 | (factory, graph, dataLayout); |
| 277 | |
| 278 | // Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest). |
| 279 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 280 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 281 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 282 | |
| 283 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 284 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 285 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 286 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 287 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 288 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 289 | |
| 290 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 291 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
| 292 | } |
| 293 | |
| 294 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolutionFloat32NhwcWorkload) |
| 295 | { |
| 296 | ClDepthwiseConvolutionWorkloadTest<ClDepthwiseConvolutionWorkload, DataType::Float32>(DataLayout::NHWC); |
| 297 | } |
| 298 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 299 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 300 | static void ClDirectConvolution2dWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 301 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 302 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 303 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 304 | auto workload = CreateDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 305 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 306 | // 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] | 307 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 308 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 309 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 310 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6})); |
| 311 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6})); |
| 312 | } |
| 313 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 314 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 315 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 316 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 317 | } |
| 318 | |
| 319 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloat16Workload) |
| 320 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 321 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 322 | } |
| 323 | |
| 324 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dUint8Workload) |
| 325 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 326 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 327 | } |
| 328 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 329 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 330 | static void ClCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 331 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 332 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 333 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 334 | auto workload = |
| 335 | CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 336 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 337 | // 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] | 338 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 339 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 340 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 341 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5})); |
| 342 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7})); |
| 343 | } |
| 344 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 345 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 346 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkloadTest) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 347 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 348 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 349 | } |
| 350 | |
| 351 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16WorkloadTest) |
| 352 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 353 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 354 | } |
| 355 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 356 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 357 | static void ClNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 358 | { |
| 359 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 360 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 361 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 362 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 363 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 365 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 366 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 367 | |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 368 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 369 | std::initializer_list<unsigned int>({3, 5, 5, 1}) : std::initializer_list<unsigned int>({3, 1, 5, 5}); |
| 370 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 371 | std::initializer_list<unsigned int>({3, 5, 5, 1}) : std::initializer_list<unsigned int>({3, 1, 5, 5}); |
| 372 | |
| 373 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 374 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 375 | } |
| 376 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 377 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 378 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 379 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 380 | } |
| 381 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 382 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 383 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 384 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 385 | } |
| 386 | |
| 387 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NhwcWorkload) |
| 388 | { |
| 389 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 390 | } |
| 391 | |
| 392 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 393 | { |
| 394 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 395 | } |
| 396 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 397 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 398 | static void ClPooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 399 | { |
| 400 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 401 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 402 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 403 | auto workload = CreatePooling2dWorkloadTest<ClPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 404 | |
| 405 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 406 | std::initializer_list<unsigned int>({3, 2, 5, 5}) : std::initializer_list<unsigned int>({3, 5, 5, 2}); |
| 407 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 408 | 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] | 409 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 410 | // Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 411 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 412 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 413 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 414 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 415 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 416 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 417 | } |
| 418 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 419 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 420 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 421 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 422 | } |
| 423 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 424 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 425 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 426 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 427 | } |
| 428 | |
| 429 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NchwWorkload) |
| 430 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 431 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 432 | } |
| 433 | |
| 434 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NhwcWorkload) |
| 435 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 436 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 437 | } |
| 438 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 439 | template <typename armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | static void ClCreateReshapeWorkloadTest() |
| 441 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 443 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 444 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 445 | auto workload = CreateReshapeWorkloadTest<ClReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 446 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 447 | // 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] | 448 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 449 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 450 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 451 | |
| 452 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 453 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4})); // Leading size 1 dimensions are collapsed by ACL. |
| 454 | } |
| 455 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 456 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 457 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 458 | ClCreateReshapeWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 459 | } |
| 460 | |
| 461 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 462 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 463 | ClCreateReshapeWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 464 | } |
| 465 | |
| 466 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 467 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 468 | ClCreateReshapeWorkloadTest<armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | } |
| 470 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 471 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 472 | static void ClSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 473 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 474 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 475 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 476 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 477 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 478 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 479 | // Checks that inputs/outputs are as we expect them (see definition of ClSoftmaxFloatWorkload). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 480 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 481 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 482 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 483 | |
| 484 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 485 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1})); |
| 486 | } |
| 487 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 488 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 489 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkloadTest) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 490 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 491 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 492 | } |
| 493 | |
| 494 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16WorkloadTest) |
| 495 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 496 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 497 | } |
| 498 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 499 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 500 | static void ClSplitterWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 501 | { |
| 502 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 503 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 504 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 505 | auto workload = CreateSplitterWorkloadTest<ClSplitterWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 507 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 508 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 509 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 510 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7})); |
| 511 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 512 | auto outputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 513 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7})); |
| 514 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 515 | auto outputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 516 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7})); |
| 517 | |
| 518 | auto outputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 519 | // 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] | 520 | // 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] | 521 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {7, 7})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 522 | } |
| 523 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 524 | BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 525 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 526 | ClSplitterWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 527 | } |
| 528 | |
| 529 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat16Workload) |
| 530 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 531 | ClSplitterWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 532 | } |
| 533 | |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 534 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 535 | static void ClSplitterMergerTest() |
| 536 | { |
| 537 | // Tests that it is possible to decide which output of the splitter layer |
| 538 | // should be lined to which input of the merger layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 539 | // We test that is is possible to specify 0th output |
| 540 | // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input |
| 541 | // of the merger. |
| 542 | |
| 543 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 544 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 545 | |
| 546 | auto workloads = |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 547 | CreateSplitterMergerWorkloadTest<ClSplitterWorkload, ClMergerWorkload, DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 548 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 549 | |
| 550 | auto wlSplitter = std::move(workloads.first); |
| 551 | auto wlMerger = std::move(workloads.second); |
| 552 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 553 | //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] | 554 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 555 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 556 | armnn::ClSubTensorHandle* mIn0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 557 | armnn::ClSubTensorHandle* mIn1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 558 | |
| 559 | BOOST_TEST(sOut0); |
| 560 | BOOST_TEST(sOut1); |
| 561 | BOOST_TEST(mIn0); |
| 562 | BOOST_TEST(mIn1); |
| 563 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 564 | //Fliped order of inputs/outputs. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 565 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 566 | BOOST_TEST(validDataPointers); |
| 567 | |
| 568 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 569 | //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] | 570 | bool validSubTensorParents = (mIn0->GetTensor().parent() == mIn1->GetTensor().parent()) |
| 571 | && (sOut0->GetTensor().parent() == sOut1->GetTensor().parent()); |
| 572 | |
| 573 | BOOST_TEST(validSubTensorParents); |
| 574 | } |
| 575 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 576 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 577 | { |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 578 | ClSplitterMergerTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 579 | } |
| 580 | |
| 581 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat16Workload) |
| 582 | { |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 583 | ClSplitterMergerTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 584 | } |
| 585 | |
| 586 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 587 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 588 | { |
| 589 | // 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] | 590 | // 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] | 591 | |
| 592 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 593 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 594 | std::unique_ptr<ClSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 595 | std::unique_ptr<ClActivationWorkload> wlActiv0_0; |
| 596 | std::unique_ptr<ClActivationWorkload> wlActiv0_1; |
| 597 | std::unique_ptr<ClActivationWorkload> wlActiv1_0; |
| 598 | std::unique_ptr<ClActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 599 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 600 | CreateSplitterMultipleInputsOneOutputWorkloadTest<ClSplitterWorkload, |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 601 | ClActivationWorkload, armnn::DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 602 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 603 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 604 | //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] | 605 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 606 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 607 | armnn::ClSubTensorHandle* activ0_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 608 | armnn::ClSubTensorHandle* activ0_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 609 | armnn::ClSubTensorHandle* activ1_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 610 | armnn::ClSubTensorHandle* activ1_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 611 | |
| 612 | |
| 613 | BOOST_TEST(sOut0); |
| 614 | BOOST_TEST(sOut1); |
| 615 | BOOST_TEST(activ0_0Im); |
| 616 | BOOST_TEST(activ0_1Im); |
| 617 | BOOST_TEST(activ1_0Im); |
| 618 | BOOST_TEST(activ1_1Im); |
| 619 | |
| 620 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 621 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 622 | |
| 623 | BOOST_TEST(validDataPointers); |
| 624 | } |
| 625 | |
| 626 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsCl) |
| 627 | { |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 628 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 629 | CreateMemCopyWorkloads<IClTensorHandle>(factory); |
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 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 633 | static void ClL2NormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 634 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 635 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 636 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 637 | auto workload = |
| 638 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 639 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 640 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 641 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 642 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 643 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 644 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 645 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 646 | ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 647 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 648 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 649 | ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 650 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 651 | |
| 652 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 653 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 654 | } |
| 655 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 656 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNchwWorkload) |
| 657 | { |
| 658 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 659 | } |
| 660 | |
| 661 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNhwcWorkload) |
| 662 | { |
| 663 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 664 | } |
| 665 | |
| 666 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 667 | { |
| 668 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 669 | } |
| 670 | |
| 671 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 672 | { |
| 673 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 674 | } |
| 675 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 676 | template <typename LstmWorkloadType> |
| 677 | static void ClCreateLstmWorkloadTest() |
| 678 | { |
| 679 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 680 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 681 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 682 | |
| 683 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 684 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 685 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 686 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 })); |
| 687 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 })); |
| 688 | } |
| 689 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 690 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 691 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 692 | ClCreateLstmWorkloadTest<ClLstmFloatWorkload>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 693 | } |
| 694 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 695 | template <typename ResizeBilinearWorkloadType, typename armnn::DataType DataType> |
| 696 | static void ClResizeBilinearWorkloadTest(DataLayout dataLayout) |
| 697 | { |
| 698 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 699 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 700 | |
| 701 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 702 | |
| 703 | // Checks that inputs/outputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). |
| 704 | ResizeBilinearQueueDescriptor queueDescriptor = workload->GetData(); |
| 705 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 706 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 707 | |
| 708 | switch (dataLayout) |
| 709 | { |
| 710 | case DataLayout::NHWC: |
| 711 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 712 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 713 | break; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 714 | case DataLayout::NCHW: |
| 715 | default: |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 716 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 717 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 718 | } |
| 719 | } |
| 720 | |
| 721 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NchwWorkload) |
| 722 | { |
| 723 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 724 | } |
| 725 | |
| 726 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NchwWorkload) |
| 727 | { |
| 728 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 729 | } |
| 730 | |
| 731 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NhwcWorkload) |
| 732 | { |
| 733 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 734 | } |
| 735 | |
| 736 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NhwcWorkload) |
| 737 | { |
| 738 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 739 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 740 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 741 | template <typename MeanWorkloadType, typename armnn::DataType DataType> |
| 742 | static void ClMeanWorkloadTest() |
| 743 | { |
| 744 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame^] | 745 | ClWorkloadFactory factory = ClWorkloadFactoryHelper::GetFactory(); |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 746 | auto workload = CreateMeanWorkloadTest<MeanWorkloadType, DataType>(factory, graph); |
| 747 | |
| 748 | // Checks that inputs/outputs are as we expect them (see definition of CreateMeanWorkloadTest). |
| 749 | MeanQueueDescriptor queueDescriptor = workload->GetData(); |
| 750 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 751 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 752 | |
| 753 | // The first dimension (batch size) in both input and output is singular thus it has been reduced by ACL. |
| 754 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 3, 7, 4 })); |
| 755 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 4 })); |
| 756 | } |
| 757 | |
| 758 | BOOST_AUTO_TEST_CASE(CreateMeanFloat32Workload) |
| 759 | { |
| 760 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float32>(); |
| 761 | } |
| 762 | |
| 763 | BOOST_AUTO_TEST_CASE(CreateMeanFloat16Workload) |
| 764 | { |
| 765 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float16>(); |
| 766 | } |
| 767 | |
| 768 | BOOST_AUTO_TEST_CASE(CreateMeanUint8Workload) |
| 769 | { |
| 770 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::QuantisedAsymm8>(); |
| 771 | } |
| 772 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 773 | BOOST_AUTO_TEST_SUITE_END() |