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 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 17 | boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, |
| 18 | std::initializer_list<unsigned int> expectedDimensions) |
| 19 | { |
| 20 | return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions); |
| 21 | } |
| 22 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 23 | BOOST_FIXTURE_TEST_SUITE(CreateWorkloadCl, ClContextControlFixture) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 24 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 25 | template <armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 26 | static void ClCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 27 | { |
| 28 | Graph graph; |
| 29 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 30 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 31 | auto workload = CreateActivationWorkloadTest<ClActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 32 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 33 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 34 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 35 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 36 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 37 | |
| 38 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1})); |
| 39 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1})); |
| 40 | } |
| 41 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 42 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 43 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 44 | ClCreateActivationWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 45 | } |
| 46 | |
| 47 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 48 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 49 | ClCreateActivationWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 50 | } |
| 51 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 52 | template <typename WorkloadType, |
| 53 | typename DescriptorType, |
| 54 | typename LayerType, |
| 55 | armnn::DataType DataType> |
| 56 | static void ClCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 57 | { |
| 58 | Graph graph; |
| 59 | ClWorkloadFactory factory; |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 60 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 61 | |
James Conroy | b9bf946 | 2018-09-19 11:58:44 +0100 | [diff] [blame] | 62 | // 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] | 63 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 64 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 65 | auto inputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 66 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 67 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3})); |
| 68 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3})); |
| 69 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 70 | } |
| 71 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 72 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 73 | { |
Nattapat Chaimanowong | cd066ca | 2018-10-10 12:11:50 +0100 | [diff] [blame] | 74 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 75 | AdditionQueueDescriptor, |
| 76 | AdditionLayer, |
| 77 | armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 78 | } |
| 79 | |
| 80 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 81 | { |
Nattapat Chaimanowong | cd066ca | 2018-10-10 12:11:50 +0100 | [diff] [blame] | 82 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 83 | AdditionQueueDescriptor, |
| 84 | AdditionLayer, |
| 85 | armnn::DataType::Float16>(); |
| 86 | } |
| 87 | |
| 88 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 89 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 90 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 91 | SubtractionQueueDescriptor, |
| 92 | SubtractionLayer, |
| 93 | armnn::DataType::Float32>(); |
| 94 | } |
| 95 | |
| 96 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 97 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 98 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 99 | SubtractionQueueDescriptor, |
| 100 | SubtractionLayer, |
| 101 | armnn::DataType::Float16>(); |
| 102 | } |
| 103 | |
| 104 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkloadTest) |
| 105 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 106 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 107 | MultiplicationQueueDescriptor, |
| 108 | MultiplicationLayer, |
| 109 | armnn::DataType::Float32>(); |
| 110 | } |
| 111 | |
| 112 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16WorkloadTest) |
| 113 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 114 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 115 | MultiplicationQueueDescriptor, |
| 116 | MultiplicationLayer, |
| 117 | armnn::DataType::Float16>(); |
| 118 | } |
| 119 | |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 120 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8WorkloadTest) |
| 121 | { |
| 122 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
| 123 | MultiplicationQueueDescriptor, |
| 124 | MultiplicationLayer, |
| 125 | armnn::DataType::QuantisedAsymm8>(); |
| 126 | } |
| 127 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 128 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 129 | { |
| 130 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 131 | DivisionQueueDescriptor, |
| 132 | DivisionLayer, |
| 133 | armnn::DataType::Float32>(); |
| 134 | } |
| 135 | |
| 136 | BOOST_AUTO_TEST_CASE(CreateDivisionFloat16WorkloadTest) |
| 137 | { |
| 138 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 139 | DivisionQueueDescriptor, |
| 140 | DivisionLayer, |
| 141 | armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 142 | } |
| 143 | |
| 144 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 145 | static void ClCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 146 | { |
| 147 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 148 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 149 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 150 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 151 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 152 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 153 | // Checks that inputs/outputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 154 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 155 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 156 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 157 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 158 | switch (dataLayout) |
| 159 | { |
| 160 | case DataLayout::NHWC: |
| 161 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 162 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4, 4, 3 })); |
| 163 | break; |
| 164 | default: // NCHW |
| 165 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 166 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 4, 4 })); |
| 167 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 168 | } |
| 169 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 170 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 171 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 172 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 173 | armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 174 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 175 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 176 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 177 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 178 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 179 | armnn::DataType::Float16>(DataLayout::NCHW); |
| 180 | } |
| 181 | |
| 182 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 183 | { |
| 184 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 185 | armnn::DataType::Float32>(DataLayout::NHWC); |
| 186 | } |
| 187 | |
| 188 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationNhwcFloat16NhwcWorkload) |
| 189 | { |
| 190 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 191 | armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | } |
| 193 | |
| 194 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload) |
| 195 | { |
| 196 | Graph graph; |
| 197 | ClWorkloadFactory factory; |
| 198 | auto workload = CreateConvertFp16ToFp32WorkloadTest<ClConvertFp16ToFp32Workload>(factory, graph); |
| 199 | |
| 200 | ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData(); |
| 201 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 202 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 203 | |
| 204 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 205 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 206 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 207 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 208 | } |
| 209 | |
| 210 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload) |
| 211 | { |
| 212 | Graph graph; |
| 213 | ClWorkloadFactory factory; |
| 214 | auto workload = CreateConvertFp32ToFp16WorkloadTest<ClConvertFp32ToFp16Workload>(factory, graph); |
| 215 | |
| 216 | ConvertFp32ToFp16QueueDescriptor queueDescriptor = workload->GetData(); |
| 217 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 218 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 219 | |
| 220 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 221 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 222 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 223 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 224 | } |
| 225 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 226 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
| 227 | static void ClConvolution2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 228 | { |
| 229 | Graph graph; |
| 230 | ClWorkloadFactory factory; |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 231 | auto workload = CreateConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, |
| 232 | graph, |
| 233 | dataLayout); |
| 234 | |
| 235 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 236 | std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 237 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 238 | 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] | 239 | |
| 240 | // 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] | 241 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 242 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 243 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 244 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 245 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 246 | } |
| 247 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 248 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 249 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 250 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 251 | } |
| 252 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 253 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 254 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 255 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 256 | } |
| 257 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 258 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
| 259 | { |
| 260 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 261 | } |
| 262 | |
| 263 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 264 | { |
| 265 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 266 | } |
| 267 | |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 268 | template <typename DepthwiseConvolutionWorkloadType, typename armnn::DataType DataType> |
| 269 | static void ClDepthwiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 270 | { |
| 271 | Graph graph; |
| 272 | ClWorkloadFactory factory; |
| 273 | |
| 274 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<DepthwiseConvolutionWorkloadType, DataType> |
| 275 | (factory, graph, dataLayout); |
| 276 | |
| 277 | // Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest). |
| 278 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 279 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 280 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 281 | |
| 282 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 283 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 284 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 285 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 286 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 287 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 288 | |
| 289 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 290 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
| 291 | } |
| 292 | |
| 293 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolutionFloat32NhwcWorkload) |
| 294 | { |
| 295 | ClDepthwiseConvolutionWorkloadTest<ClDepthwiseConvolutionWorkload, DataType::Float32>(DataLayout::NHWC); |
| 296 | } |
| 297 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 298 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 299 | static void ClDirectConvolution2dWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 300 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 301 | Graph graph; |
| 302 | ClWorkloadFactory factory; |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 303 | auto workload = CreateDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 304 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 305 | // 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] | 306 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 307 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 308 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 309 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6})); |
| 310 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6})); |
| 311 | } |
| 312 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 313 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 314 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 315 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 316 | } |
| 317 | |
| 318 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloat16Workload) |
| 319 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 320 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 321 | } |
| 322 | |
| 323 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dUint8Workload) |
| 324 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 325 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 326 | } |
| 327 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 328 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 329 | static void ClCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 330 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 331 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 332 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 333 | auto workload = |
| 334 | CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 335 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 336 | // 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] | 337 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 338 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 339 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 340 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5})); |
| 341 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7})); |
| 342 | } |
| 343 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 344 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 345 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkloadTest) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 346 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 347 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 348 | } |
| 349 | |
| 350 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16WorkloadTest) |
| 351 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 352 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 353 | } |
| 354 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 355 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 356 | static void ClNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 357 | { |
| 358 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 359 | ClWorkloadFactory factory; |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 360 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 361 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 362 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 363 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 364 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 365 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 366 | |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 367 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 368 | std::initializer_list<unsigned int>({3, 5, 5, 1}) : std::initializer_list<unsigned int>({3, 1, 5, 5}); |
| 369 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 370 | std::initializer_list<unsigned int>({3, 5, 5, 1}) : std::initializer_list<unsigned int>({3, 1, 5, 5}); |
| 371 | |
| 372 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 373 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 374 | } |
| 375 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 376 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 377 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 378 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 379 | } |
| 380 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 381 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 382 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 383 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 384 | } |
| 385 | |
| 386 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NhwcWorkload) |
| 387 | { |
| 388 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 389 | } |
| 390 | |
| 391 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 392 | { |
| 393 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 394 | } |
| 395 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 396 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 397 | static void ClPooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 398 | { |
| 399 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 401 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 402 | auto workload = CreatePooling2dWorkloadTest<ClPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 403 | |
| 404 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 405 | std::initializer_list<unsigned int>({3, 2, 5, 5}) : std::initializer_list<unsigned int>({3, 5, 5, 2}); |
| 406 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 407 | 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] | 408 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 409 | // Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 410 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 411 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 412 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 413 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 414 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 415 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | } |
| 417 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 418 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 419 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 420 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 421 | } |
| 422 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 423 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 424 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 425 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 426 | } |
| 427 | |
| 428 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NchwWorkload) |
| 429 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 430 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 431 | } |
| 432 | |
| 433 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NhwcWorkload) |
| 434 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 435 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 436 | } |
| 437 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 438 | template <typename armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 439 | static void ClCreateReshapeWorkloadTest() |
| 440 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 441 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 442 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 443 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 444 | auto workload = CreateReshapeWorkloadTest<ClReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 445 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 446 | // 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] | 447 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 448 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 449 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | |
| 451 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 452 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4})); // Leading size 1 dimensions are collapsed by ACL. |
| 453 | } |
| 454 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 455 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 456 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 457 | ClCreateReshapeWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 458 | } |
| 459 | |
| 460 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 461 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 462 | ClCreateReshapeWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 463 | } |
| 464 | |
| 465 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 466 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 467 | ClCreateReshapeWorkloadTest<armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 468 | } |
| 469 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 470 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 471 | static void ClSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 472 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 473 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 474 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 475 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 476 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 477 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 478 | // Checks that inputs/outputs are as we expect them (see definition of ClSoftmaxFloatWorkload). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 479 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 480 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 481 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 482 | |
| 483 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 484 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1})); |
| 485 | } |
| 486 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 487 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 488 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkloadTest) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 489 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 490 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 491 | } |
| 492 | |
| 493 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16WorkloadTest) |
| 494 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 495 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 496 | } |
| 497 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 498 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 499 | static void ClSplitterWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | { |
| 501 | Graph graph; |
| 502 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 503 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 504 | auto workload = CreateSplitterWorkloadTest<ClSplitterWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 505 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 506 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 507 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 508 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 509 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7})); |
| 510 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 511 | auto outputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 512 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7})); |
| 513 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 514 | auto outputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 515 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7})); |
| 516 | |
| 517 | auto outputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 518 | // 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] | 519 | // 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] | 520 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {7, 7})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 521 | } |
| 522 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 523 | BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 524 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 525 | ClSplitterWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 526 | } |
| 527 | |
| 528 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat16Workload) |
| 529 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 530 | ClSplitterWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 531 | } |
| 532 | |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 533 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 534 | static void ClSplitterMergerTest() |
| 535 | { |
| 536 | // Tests that it is possible to decide which output of the splitter layer |
| 537 | // should be lined to which input of the merger layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 538 | // We test that is is possible to specify 0th output |
| 539 | // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input |
| 540 | // of the merger. |
| 541 | |
| 542 | Graph graph; |
| 543 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 544 | |
| 545 | auto workloads = |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 546 | CreateSplitterMergerWorkloadTest<ClSplitterWorkload, ClMergerWorkload, DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 547 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 548 | |
| 549 | auto wlSplitter = std::move(workloads.first); |
| 550 | auto wlMerger = std::move(workloads.second); |
| 551 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 552 | //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] | 553 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 554 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 555 | armnn::ClSubTensorHandle* mIn0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 556 | armnn::ClSubTensorHandle* mIn1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 557 | |
| 558 | BOOST_TEST(sOut0); |
| 559 | BOOST_TEST(sOut1); |
| 560 | BOOST_TEST(mIn0); |
| 561 | BOOST_TEST(mIn1); |
| 562 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 563 | //Fliped order of inputs/outputs. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 564 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 565 | BOOST_TEST(validDataPointers); |
| 566 | |
| 567 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 568 | //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] | 569 | bool validSubTensorParents = (mIn0->GetTensor().parent() == mIn1->GetTensor().parent()) |
| 570 | && (sOut0->GetTensor().parent() == sOut1->GetTensor().parent()); |
| 571 | |
| 572 | BOOST_TEST(validSubTensorParents); |
| 573 | } |
| 574 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 575 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 576 | { |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 577 | ClSplitterMergerTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 578 | } |
| 579 | |
| 580 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat16Workload) |
| 581 | { |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 582 | ClSplitterMergerTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 583 | } |
| 584 | |
| 585 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 586 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 587 | { |
| 588 | // 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] | 589 | // 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] | 590 | |
| 591 | Graph graph; |
| 592 | ClWorkloadFactory factory; |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 593 | std::unique_ptr<ClSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 594 | std::unique_ptr<ClActivationWorkload> wlActiv0_0; |
| 595 | std::unique_ptr<ClActivationWorkload> wlActiv0_1; |
| 596 | std::unique_ptr<ClActivationWorkload> wlActiv1_0; |
| 597 | std::unique_ptr<ClActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 598 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 599 | CreateSplitterMultipleInputsOneOutputWorkloadTest<ClSplitterWorkload, |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 600 | ClActivationWorkload, armnn::DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 601 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 602 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 603 | //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] | 604 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 605 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 606 | armnn::ClSubTensorHandle* activ0_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 607 | armnn::ClSubTensorHandle* activ0_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 608 | armnn::ClSubTensorHandle* activ1_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 609 | armnn::ClSubTensorHandle* activ1_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 610 | |
| 611 | |
| 612 | BOOST_TEST(sOut0); |
| 613 | BOOST_TEST(sOut1); |
| 614 | BOOST_TEST(activ0_0Im); |
| 615 | BOOST_TEST(activ0_1Im); |
| 616 | BOOST_TEST(activ1_0Im); |
| 617 | BOOST_TEST(activ1_1Im); |
| 618 | |
| 619 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 620 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 621 | |
| 622 | BOOST_TEST(validDataPointers); |
| 623 | } |
| 624 | |
| 625 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsCl) |
| 626 | { |
| 627 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 628 | CreateMemCopyWorkloads<IClTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 629 | } |
| 630 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 631 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 632 | static void ClL2NormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 633 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 634 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 635 | ClWorkloadFactory factory; |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 636 | auto workload = |
| 637 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 638 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 639 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 640 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 641 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 642 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 643 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 644 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 645 | ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 646 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 647 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 648 | ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 649 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 650 | |
| 651 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 652 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 653 | } |
| 654 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 655 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNchwWorkload) |
| 656 | { |
| 657 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 658 | } |
| 659 | |
| 660 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNhwcWorkload) |
| 661 | { |
| 662 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 663 | } |
| 664 | |
| 665 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 666 | { |
| 667 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 668 | } |
| 669 | |
| 670 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 671 | { |
| 672 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 673 | } |
| 674 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 675 | template <typename LstmWorkloadType> |
| 676 | static void ClCreateLstmWorkloadTest() |
| 677 | { |
| 678 | Graph graph; |
| 679 | ClWorkloadFactory factory; |
| 680 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 681 | |
| 682 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 683 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 684 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 685 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 })); |
| 686 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 })); |
| 687 | } |
| 688 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 689 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 690 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 691 | ClCreateLstmWorkloadTest<ClLstmFloatWorkload>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 692 | } |
| 693 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 694 | template <typename ResizeBilinearWorkloadType, typename armnn::DataType DataType> |
| 695 | static void ClResizeBilinearWorkloadTest(DataLayout dataLayout) |
| 696 | { |
| 697 | Graph graph; |
| 698 | ClWorkloadFactory factory; |
| 699 | |
| 700 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 701 | |
| 702 | // Checks that inputs/outputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). |
| 703 | ResizeBilinearQueueDescriptor queueDescriptor = workload->GetData(); |
| 704 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 705 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 706 | |
| 707 | switch (dataLayout) |
| 708 | { |
| 709 | case DataLayout::NHWC: |
| 710 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 711 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 712 | break; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 713 | case DataLayout::NCHW: |
| 714 | default: |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 715 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 716 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 717 | } |
| 718 | } |
| 719 | |
| 720 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NchwWorkload) |
| 721 | { |
| 722 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 723 | } |
| 724 | |
| 725 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NchwWorkload) |
| 726 | { |
| 727 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 728 | } |
| 729 | |
| 730 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NhwcWorkload) |
| 731 | { |
| 732 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 733 | } |
| 734 | |
| 735 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NhwcWorkload) |
| 736 | { |
| 737 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 738 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 739 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 740 | template <typename MeanWorkloadType, typename armnn::DataType DataType> |
| 741 | static void ClMeanWorkloadTest() |
| 742 | { |
| 743 | Graph graph; |
| 744 | ClWorkloadFactory factory; |
| 745 | auto workload = CreateMeanWorkloadTest<MeanWorkloadType, DataType>(factory, graph); |
| 746 | |
| 747 | // Checks that inputs/outputs are as we expect them (see definition of CreateMeanWorkloadTest). |
| 748 | MeanQueueDescriptor queueDescriptor = workload->GetData(); |
| 749 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 750 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 751 | |
| 752 | // The first dimension (batch size) in both input and output is singular thus it has been reduced by ACL. |
| 753 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 3, 7, 4 })); |
| 754 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 4 })); |
| 755 | } |
| 756 | |
| 757 | BOOST_AUTO_TEST_CASE(CreateMeanFloat32Workload) |
| 758 | { |
| 759 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float32>(); |
| 760 | } |
| 761 | |
| 762 | BOOST_AUTO_TEST_CASE(CreateMeanFloat16Workload) |
| 763 | { |
| 764 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float16>(); |
| 765 | } |
| 766 | |
| 767 | BOOST_AUTO_TEST_CASE(CreateMeanUint8Workload) |
| 768 | { |
| 769 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::QuantisedAsymm8>(); |
| 770 | } |
| 771 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 772 | BOOST_AUTO_TEST_SUITE_END() |