telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 5 | #include <backends/cl/ClWorkloadFactory.hpp> |
David Beck | b4540be | 2018-09-24 13:18:27 +0100 | [diff] [blame] | 6 | #include <backends/reference/RefWorkloadFactory.hpp> |
| 7 | #include <backends/MemCopyWorkload.hpp> |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 8 | #include <backends/cl/workloads/ClWorkloadUtils.hpp> |
| 9 | #include <backends/cl/workloads/ClWorkloads.hpp> |
| 10 | #include <backends/cl/ClTensorHandle.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 11 | #include "ClContextControlFixture.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 12 | |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 13 | #include <test/CreateWorkloadClNeon.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
| 15 | boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, |
| 16 | std::initializer_list<unsigned int> expectedDimensions) |
| 17 | { |
| 18 | return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions); |
| 19 | } |
| 20 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 21 | BOOST_FIXTURE_TEST_SUITE(CreateWorkloadCl, ClContextControlFixture) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 23 | template <typename ActivationWorkloadType, armnn::DataType DataType> |
| 24 | static void ClCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 25 | { |
| 26 | Graph graph; |
| 27 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 28 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 29 | auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 30 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 31 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 32 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 33 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 34 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 35 | |
| 36 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1})); |
| 37 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1})); |
| 38 | } |
| 39 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 40 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 41 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 42 | ClCreateActivationWorkloadTest<ClActivationFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 43 | } |
| 44 | |
| 45 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 46 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 47 | ClCreateActivationWorkloadTest<ClActivationFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 48 | } |
| 49 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 50 | template <typename WorkloadType, |
| 51 | typename DescriptorType, |
| 52 | typename LayerType, |
| 53 | armnn::DataType DataType> |
| 54 | static void ClCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 55 | { |
| 56 | Graph graph; |
| 57 | ClWorkloadFactory factory; |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 58 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | |
James Conroy | b9bf946 | 2018-09-19 11:58:44 +0100 | [diff] [blame] | 60 | // Checks that inputs/outputs are as we expect them (see definition of CreateArithmeticWorkloadTest). |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 61 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 62 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 63 | auto inputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 64 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 65 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3})); |
| 66 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3})); |
| 67 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 68 | } |
| 69 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 70 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 71 | { |
David Beck | 0a710c4 | 2018-09-11 15:21:14 +0100 | [diff] [blame] | 72 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 73 | AdditionQueueDescriptor, |
| 74 | AdditionLayer, |
| 75 | armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | } |
| 77 | |
| 78 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 79 | { |
David Beck | 0a710c4 | 2018-09-11 15:21:14 +0100 | [diff] [blame] | 80 | ClCreateArithmethicWorkloadTest<ClAdditionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 81 | AdditionQueueDescriptor, |
| 82 | AdditionLayer, |
| 83 | armnn::DataType::Float16>(); |
| 84 | } |
| 85 | |
| 86 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 87 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 88 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 89 | SubtractionQueueDescriptor, |
| 90 | SubtractionLayer, |
| 91 | armnn::DataType::Float32>(); |
| 92 | } |
| 93 | |
| 94 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 95 | { |
Matthew Bentham | 092b304 | 2018-10-01 16:39:28 +0100 | [diff] [blame] | 96 | ClCreateArithmethicWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 97 | SubtractionQueueDescriptor, |
| 98 | SubtractionLayer, |
| 99 | armnn::DataType::Float16>(); |
| 100 | } |
| 101 | |
| 102 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkloadTest) |
| 103 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 104 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 105 | MultiplicationQueueDescriptor, |
| 106 | MultiplicationLayer, |
| 107 | armnn::DataType::Float32>(); |
| 108 | } |
| 109 | |
| 110 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16WorkloadTest) |
| 111 | { |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 112 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 113 | MultiplicationQueueDescriptor, |
| 114 | MultiplicationLayer, |
| 115 | armnn::DataType::Float16>(); |
| 116 | } |
| 117 | |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 118 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8WorkloadTest) |
| 119 | { |
| 120 | ClCreateArithmethicWorkloadTest<ClMultiplicationWorkload, |
| 121 | MultiplicationQueueDescriptor, |
| 122 | MultiplicationLayer, |
| 123 | armnn::DataType::QuantisedAsymm8>(); |
| 124 | } |
| 125 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 126 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 127 | { |
| 128 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 129 | DivisionQueueDescriptor, |
| 130 | DivisionLayer, |
| 131 | armnn::DataType::Float32>(); |
| 132 | } |
| 133 | |
| 134 | BOOST_AUTO_TEST_CASE(CreateDivisionFloat16WorkloadTest) |
| 135 | { |
| 136 | ClCreateArithmethicWorkloadTest<ClDivisionFloatWorkload, |
| 137 | DivisionQueueDescriptor, |
| 138 | DivisionLayer, |
| 139 | armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 140 | } |
| 141 | |
| 142 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
| 143 | static void ClCreateBatchNormalizationWorkloadTest() |
| 144 | { |
| 145 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 146 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 147 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 148 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 149 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 150 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 151 | // Checks that inputs/outputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 152 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 153 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 154 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 155 | |
| 156 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 1, 1})); |
| 157 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3, 1, 1})); |
| 158 | } |
| 159 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 160 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 161 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 162 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 163 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 164 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 165 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) |
| 166 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 167 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 168 | } |
| 169 | |
| 170 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload) |
| 171 | { |
| 172 | Graph graph; |
| 173 | ClWorkloadFactory factory; |
| 174 | auto workload = CreateConvertFp16ToFp32WorkloadTest<ClConvertFp16ToFp32Workload>(factory, graph); |
| 175 | |
| 176 | ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData(); |
| 177 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 178 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 179 | |
| 180 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 181 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 182 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 183 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 184 | } |
| 185 | |
| 186 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload) |
| 187 | { |
| 188 | Graph graph; |
| 189 | ClWorkloadFactory factory; |
| 190 | auto workload = CreateConvertFp32ToFp16WorkloadTest<ClConvertFp32ToFp16Workload>(factory, graph); |
| 191 | |
| 192 | ConvertFp32ToFp16QueueDescriptor queueDescriptor = workload->GetData(); |
| 193 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 194 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 195 | |
| 196 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 3})); |
| 197 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 3})); |
| 198 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 199 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 200 | } |
| 201 | |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 202 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 203 | static void ClConvolution2dWorkloadTest() |
| 204 | { |
| 205 | Graph graph; |
| 206 | ClWorkloadFactory factory; |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 207 | auto workload = CreateConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, graph); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 208 | |
| 209 | // 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] | 210 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 211 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 212 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 213 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 8, 16})); |
| 214 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 2, 10})); |
| 215 | } |
| 216 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 217 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 218 | { |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 219 | ClConvolution2dWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 220 | } |
| 221 | |
| 222 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16Workload) |
| 223 | { |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 224 | ClConvolution2dWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 225 | } |
| 226 | |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 227 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 228 | static void ClDirectConvolution2dWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 229 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 230 | Graph graph; |
| 231 | ClWorkloadFactory factory; |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 232 | auto workload = CreateDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 233 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 234 | // 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] | 235 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 236 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 237 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 238 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6})); |
| 239 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6})); |
| 240 | } |
| 241 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 242 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 243 | { |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 244 | ClDirectConvolution2dWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 245 | } |
| 246 | |
| 247 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloat16Workload) |
| 248 | { |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 249 | ClDirectConvolution2dWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 250 | } |
| 251 | |
| 252 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dUint8Workload) |
| 253 | { |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 254 | ClDirectConvolution2dWorkloadTest<armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 255 | } |
| 256 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 257 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 258 | static void ClCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 259 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 260 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 261 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 262 | auto workload = |
| 263 | CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 264 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 265 | // 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] | 266 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 267 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 268 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 269 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5})); |
| 270 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7})); |
| 271 | } |
| 272 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 273 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 274 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkloadTest) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 275 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 276 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 277 | } |
| 278 | |
| 279 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16WorkloadTest) |
| 280 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 281 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 282 | } |
| 283 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 284 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 285 | static void ClNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 286 | { |
| 287 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 288 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 289 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 290 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 291 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 292 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 293 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 294 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 295 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 296 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 297 | |
| 298 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 5, 5, 1})); |
| 299 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 5, 5, 1})); |
| 300 | } |
| 301 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 302 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 303 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 304 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 305 | } |
| 306 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 307 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 308 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 309 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 310 | } |
| 311 | |
| 312 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NhwcWorkload) |
| 313 | { |
| 314 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 315 | } |
| 316 | |
| 317 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 318 | { |
| 319 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 320 | } |
| 321 | |
| 322 | template <typename Pooling2dWorkloadType, typename armnn::DataType DataType> |
| 323 | static void ClPooling2dWorkloadTest() |
| 324 | { |
| 325 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 326 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 327 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 328 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 329 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 330 | // Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 331 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 332 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 333 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 334 | |
| 335 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 5, 5})); |
| 336 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 2, 4})); |
| 337 | } |
| 338 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 339 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 340 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 341 | ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 342 | } |
| 343 | |
| 344 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 345 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 346 | ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 347 | } |
| 348 | |
| 349 | template <typename ReshapeWorkloadType, typename armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 350 | static void ClCreateReshapeWorkloadTest() |
| 351 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 352 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 353 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 354 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 355 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 356 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 357 | // 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] | 358 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 359 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 360 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 361 | |
| 362 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 363 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4})); // Leading size 1 dimensions are collapsed by ACL. |
| 364 | } |
| 365 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 366 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 367 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 368 | ClCreateReshapeWorkloadTest<ClReshapeFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 369 | } |
| 370 | |
| 371 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 372 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 373 | ClCreateReshapeWorkloadTest<ClReshapeFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 374 | } |
| 375 | |
| 376 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 377 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 378 | ClCreateReshapeWorkloadTest<ClReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 379 | } |
| 380 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 381 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 382 | static void ClSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 383 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 384 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 385 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 386 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 387 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 388 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 389 | // Checks that inputs/outputs are as we expect them (see definition of ClSoftmaxFloatWorkload). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 390 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 391 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 392 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | |
| 394 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 395 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1})); |
| 396 | } |
| 397 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 398 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 399 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkloadTest) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 400 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 401 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 402 | } |
| 403 | |
| 404 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16WorkloadTest) |
| 405 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 406 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 407 | } |
| 408 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 409 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 410 | static void ClSplitterWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 411 | { |
| 412 | Graph graph; |
| 413 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 414 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 415 | auto workload = CreateSplitterWorkloadTest<ClSplitterWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 417 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 418 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 419 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 420 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7})); |
| 421 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 422 | auto outputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 423 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7})); |
| 424 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 425 | auto outputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 426 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7})); |
| 427 | |
| 428 | auto outputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 429 | // 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] | 430 | // 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] | 431 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {7, 7})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 432 | } |
| 433 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 434 | BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 435 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 436 | ClSplitterWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 437 | } |
| 438 | |
| 439 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat16Workload) |
| 440 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 441 | ClSplitterWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | } |
| 443 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 444 | template <typename MergerWorkloadType, typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 445 | static void ClSplitterMergerTest() |
| 446 | { |
| 447 | // Tests that it is possible to decide which output of the splitter layer |
| 448 | // should be lined to which input of the merger layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 449 | // We test that is is possible to specify 0th output |
| 450 | // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input |
| 451 | // of the merger. |
| 452 | |
| 453 | Graph graph; |
| 454 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 455 | |
| 456 | auto workloads = |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 457 | CreateSplitterMergerWorkloadTest<ClSplitterWorkload, MergerWorkloadType, DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 458 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 459 | |
| 460 | auto wlSplitter = std::move(workloads.first); |
| 461 | auto wlMerger = std::move(workloads.second); |
| 462 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 463 | //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] | 464 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 465 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 466 | armnn::ClSubTensorHandle* mIn0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 467 | armnn::ClSubTensorHandle* mIn1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 468 | |
| 469 | BOOST_TEST(sOut0); |
| 470 | BOOST_TEST(sOut1); |
| 471 | BOOST_TEST(mIn0); |
| 472 | BOOST_TEST(mIn1); |
| 473 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 474 | //Fliped order of inputs/outputs. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 475 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 476 | BOOST_TEST(validDataPointers); |
| 477 | |
| 478 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 479 | //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] | 480 | bool validSubTensorParents = (mIn0->GetTensor().parent() == mIn1->GetTensor().parent()) |
| 481 | && (sOut0->GetTensor().parent() == sOut1->GetTensor().parent()); |
| 482 | |
| 483 | BOOST_TEST(validSubTensorParents); |
| 484 | } |
| 485 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 486 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 487 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 488 | ClSplitterMergerTest<ClMergerFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 489 | } |
| 490 | |
| 491 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat16Workload) |
| 492 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 493 | ClSplitterMergerTest<ClMergerFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 494 | } |
| 495 | |
| 496 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 497 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 498 | { |
| 499 | // 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] | 500 | // 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] | 501 | |
| 502 | Graph graph; |
| 503 | ClWorkloadFactory factory; |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 504 | std::unique_ptr<ClSplitterWorkload> wlSplitter; |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 505 | std::unique_ptr<ClActivationFloatWorkload> wlActiv0_0; |
| 506 | std::unique_ptr<ClActivationFloatWorkload> wlActiv0_1; |
| 507 | std::unique_ptr<ClActivationFloatWorkload> wlActiv1_0; |
| 508 | std::unique_ptr<ClActivationFloatWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 509 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 510 | CreateSplitterMultipleInputsOneOutputWorkloadTest<ClSplitterWorkload, |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 511 | ClActivationFloatWorkload, armnn::DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 512 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 513 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 514 | //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] | 515 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 516 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 517 | armnn::ClSubTensorHandle* activ0_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 518 | armnn::ClSubTensorHandle* activ0_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 519 | armnn::ClSubTensorHandle* activ1_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 520 | armnn::ClSubTensorHandle* activ1_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 521 | |
| 522 | |
| 523 | BOOST_TEST(sOut0); |
| 524 | BOOST_TEST(sOut1); |
| 525 | BOOST_TEST(activ0_0Im); |
| 526 | BOOST_TEST(activ0_1Im); |
| 527 | BOOST_TEST(activ1_0Im); |
| 528 | BOOST_TEST(activ1_1Im); |
| 529 | |
| 530 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 531 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 532 | |
| 533 | BOOST_TEST(validDataPointers); |
| 534 | } |
| 535 | |
| 536 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsCl) |
| 537 | { |
| 538 | ClWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 539 | CreateMemCopyWorkloads<IClTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 540 | } |
| 541 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 542 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 543 | static void ClL2NormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 544 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 545 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 546 | ClWorkloadFactory factory; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 547 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 548 | auto workload = CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType> |
| 549 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 550 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 551 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 552 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 553 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 554 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 555 | |
| 556 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 5, 20, 50, 67 })); |
| 557 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 5, 20, 50, 67 })); |
| 558 | } |
| 559 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 560 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNchwWorkload) |
| 561 | { |
| 562 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 563 | } |
| 564 | |
| 565 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNhwcWorkload) |
| 566 | { |
| 567 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 568 | } |
| 569 | |
| 570 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 571 | { |
| 572 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 573 | } |
| 574 | |
| 575 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 576 | { |
| 577 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 578 | } |
| 579 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 580 | template <typename LstmWorkloadType> |
| 581 | static void ClCreateLstmWorkloadTest() |
| 582 | { |
| 583 | Graph graph; |
| 584 | ClWorkloadFactory factory; |
| 585 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 586 | |
| 587 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 588 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 589 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 590 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 })); |
| 591 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 })); |
| 592 | } |
| 593 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 594 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 595 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 596 | ClCreateLstmWorkloadTest<ClLstmFloatWorkload>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 597 | } |
| 598 | |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame^] | 599 | template <typename ResizeBilinearWorkloadType, typename armnn::DataType DataType> |
| 600 | static void ClResizeBilinearWorkloadTest(DataLayout dataLayout) |
| 601 | { |
| 602 | Graph graph; |
| 603 | ClWorkloadFactory factory; |
| 604 | |
| 605 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 606 | |
| 607 | // Checks that inputs/outputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). |
| 608 | ResizeBilinearQueueDescriptor queueDescriptor = workload->GetData(); |
| 609 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 610 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 611 | |
| 612 | switch (dataLayout) |
| 613 | { |
| 614 | case DataLayout::NHWC: |
| 615 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 616 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 617 | break; |
| 618 | default: // NCHW |
| 619 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 620 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 621 | } |
| 622 | } |
| 623 | |
| 624 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NchwWorkload) |
| 625 | { |
| 626 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 627 | } |
| 628 | |
| 629 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NchwWorkload) |
| 630 | { |
| 631 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 632 | } |
| 633 | |
| 634 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32NhwcWorkload) |
| 635 | { |
| 636 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 637 | } |
| 638 | |
| 639 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NhwcWorkload) |
| 640 | { |
| 641 | ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 642 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 643 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 644 | BOOST_AUTO_TEST_SUITE_END() |