telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 5 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 6 | #include "ClContextControlFixture.hpp" |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 7 | #include "ClWorkloadFactoryHelper.hpp" |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 9 | #include <backendsCommon/MemCopyWorkload.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 10 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 11 | #include <aclCommon/test/CreateWorkloadClNeon.hpp> |
Ferran Balaguer | 737d9ff | 2019-08-01 09:58:08 +0100 | [diff] [blame] | 12 | #include <aclCommon/ArmComputeTensorUtils.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 13 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 14 | #include <cl/ClTensorHandle.hpp> |
| 15 | #include <cl/ClWorkloadFactory.hpp> |
| 16 | #include <cl/workloads/ClWorkloads.hpp> |
| 17 | #include <cl/workloads/ClWorkloadUtils.hpp> |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 18 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 19 | boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, |
| 20 | std::initializer_list<unsigned int> expectedDimensions) |
| 21 | { |
| 22 | return CompareTensorHandleShape<IClTensorHandle>(tensorHandle, expectedDimensions); |
| 23 | } |
| 24 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 25 | BOOST_FIXTURE_TEST_SUITE(CreateWorkloadCl, ClContextControlFixture) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 26 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 27 | template <armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 28 | static void ClCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 29 | { |
| 30 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 31 | ClWorkloadFactory factory = |
| 32 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 33 | |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 34 | auto workload = CreateActivationWorkloadTest<ClActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 35 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 36 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 37 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 38 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 39 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 40 | |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 41 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1, 1})); |
| 42 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 1})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 43 | } |
| 44 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 45 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 46 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 47 | ClCreateActivationWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 48 | } |
| 49 | |
| 50 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 51 | { |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 52 | ClCreateActivationWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 53 | } |
| 54 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 55 | template <typename WorkloadType, |
| 56 | typename DescriptorType, |
| 57 | typename LayerType, |
| 58 | armnn::DataType DataType> |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 59 | static void ClCreateElementwiseWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 60 | { |
| 61 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 62 | ClWorkloadFactory factory = |
| 63 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 64 | |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 65 | auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 66 | |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 67 | // Checks that inputs/outputs are as we expect them (see definition of CreateElementwiseWorkloadTest). |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 68 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 69 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 70 | auto inputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 71 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 72 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, {2, 3})); |
| 73 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle2, {2, 3})); |
| 74 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 75 | } |
| 76 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 77 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 78 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 79 | ClCreateElementwiseWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 80 | AdditionQueueDescriptor, |
| 81 | AdditionLayer, |
| 82 | armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 83 | } |
| 84 | |
| 85 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 86 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 87 | ClCreateElementwiseWorkloadTest<ClAdditionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 88 | AdditionQueueDescriptor, |
| 89 | AdditionLayer, |
| 90 | armnn::DataType::Float16>(); |
| 91 | } |
| 92 | |
| 93 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 94 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 95 | ClCreateElementwiseWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 96 | SubtractionQueueDescriptor, |
| 97 | SubtractionLayer, |
| 98 | armnn::DataType::Float32>(); |
| 99 | } |
| 100 | |
| 101 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 102 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 103 | ClCreateElementwiseWorkloadTest<ClSubtractionWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 104 | SubtractionQueueDescriptor, |
| 105 | SubtractionLayer, |
| 106 | armnn::DataType::Float16>(); |
| 107 | } |
| 108 | |
| 109 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkloadTest) |
| 110 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 111 | ClCreateElementwiseWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 112 | MultiplicationQueueDescriptor, |
| 113 | MultiplicationLayer, |
| 114 | armnn::DataType::Float32>(); |
| 115 | } |
| 116 | |
| 117 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16WorkloadTest) |
| 118 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 119 | ClCreateElementwiseWorkloadTest<ClMultiplicationWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 120 | MultiplicationQueueDescriptor, |
| 121 | MultiplicationLayer, |
| 122 | armnn::DataType::Float16>(); |
| 123 | } |
| 124 | |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 125 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8WorkloadTest) |
| 126 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 127 | ClCreateElementwiseWorkloadTest<ClMultiplicationWorkload, |
Matthew Bentham | e2ec330 | 2018-10-01 11:32:48 +0100 | [diff] [blame] | 128 | MultiplicationQueueDescriptor, |
| 129 | MultiplicationLayer, |
| 130 | armnn::DataType::QuantisedAsymm8>(); |
| 131 | } |
| 132 | |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 133 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 134 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 135 | ClCreateElementwiseWorkloadTest<ClDivisionFloatWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 136 | DivisionQueueDescriptor, |
| 137 | DivisionLayer, |
| 138 | armnn::DataType::Float32>(); |
| 139 | } |
| 140 | |
| 141 | BOOST_AUTO_TEST_CASE(CreateDivisionFloat16WorkloadTest) |
| 142 | { |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 143 | ClCreateElementwiseWorkloadTest<ClDivisionFloatWorkload, |
David Beck | 4a8692c | 2018-09-07 16:19:24 +0100 | [diff] [blame] | 144 | DivisionQueueDescriptor, |
| 145 | DivisionLayer, |
| 146 | armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 147 | } |
| 148 | |
Aron Virginas-Tar | 1a763dd | 2019-09-10 12:32:08 +0100 | [diff] [blame] | 149 | template <typename WorkloadType, |
| 150 | typename DescriptorType, |
| 151 | typename LayerType, |
| 152 | armnn::DataType DataType> |
| 153 | static void ClCreateElementwiseUnaryWorkloadTest() |
| 154 | { |
| 155 | Graph graph; |
| 156 | ClWorkloadFactory factory = |
| 157 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 158 | |
| 159 | auto workload = CreateElementwiseUnaryWorkloadTest |
| 160 | <WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
| 161 | |
| 162 | DescriptorType queueDescriptor = workload->GetData(); |
| 163 | |
| 164 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 165 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 166 | |
| 167 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3})); |
| 168 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 3})); |
| 169 | } |
| 170 | |
| 171 | BOOST_AUTO_TEST_CASE(CreateRsqrtFloat32WorkloadTest) |
| 172 | { |
| 173 | ClCreateElementwiseUnaryWorkloadTest<ClRsqrtWorkload, |
| 174 | RsqrtQueueDescriptor, |
| 175 | RsqrtLayer, |
| 176 | armnn::DataType::Float32>(); |
| 177 | } |
| 178 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 179 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 180 | static void ClCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 181 | { |
| 182 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 183 | ClWorkloadFactory factory = |
| 184 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 185 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 186 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 187 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 188 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 189 | // Checks that inputs/outputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 190 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 191 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 192 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 193 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 194 | switch (dataLayout) |
| 195 | { |
| 196 | case DataLayout::NHWC: |
| 197 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 198 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4, 4, 3 })); |
| 199 | break; |
| 200 | default: // NCHW |
| 201 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 202 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 4, 4 })); |
| 203 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 204 | } |
| 205 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 206 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 207 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 208 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 209 | armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 210 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 211 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 212 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 213 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 214 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 215 | armnn::DataType::Float16>(DataLayout::NCHW); |
| 216 | } |
| 217 | |
| 218 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 219 | { |
| 220 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 221 | armnn::DataType::Float32>(DataLayout::NHWC); |
| 222 | } |
| 223 | |
| 224 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationNhwcFloat16NhwcWorkload) |
| 225 | { |
| 226 | ClCreateBatchNormalizationWorkloadTest<ClBatchNormalizationFloatWorkload, |
| 227 | armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 228 | } |
| 229 | |
| 230 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Workload) |
| 231 | { |
| 232 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 233 | ClWorkloadFactory factory = |
| 234 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 235 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 236 | auto workload = CreateConvertFp16ToFp32WorkloadTest<ClConvertFp16ToFp32Workload>(factory, graph); |
| 237 | |
| 238 | ConvertFp16ToFp32QueueDescriptor queueDescriptor = workload->GetData(); |
| 239 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 240 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 241 | |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 242 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1, 3, 2, 3})); |
| 243 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 3, 2, 3})); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 244 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 245 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 246 | } |
| 247 | |
| 248 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Workload) |
| 249 | { |
| 250 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 251 | ClWorkloadFactory factory = |
| 252 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 253 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 254 | auto workload = CreateConvertFp32ToFp16WorkloadTest<ClConvertFp32ToFp16Workload>(factory, graph); |
| 255 | |
| 256 | ConvertFp32ToFp16QueueDescriptor queueDescriptor = workload->GetData(); |
| 257 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 258 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 259 | |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 260 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {1, 3, 2, 3})); |
| 261 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 3, 2, 3})); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 262 | BOOST_TEST((inputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F32)); |
| 263 | BOOST_TEST((outputHandle->GetTensor().info()->data_type() == arm_compute::DataType::F16)); |
| 264 | } |
| 265 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 266 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
| 267 | static void ClConvolution2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 268 | { |
| 269 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 270 | ClWorkloadFactory factory = |
| 271 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 272 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 273 | auto workload = CreateConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, |
| 274 | graph, |
| 275 | dataLayout); |
| 276 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 277 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({2, 3, 8, 16}) |
| 278 | : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 279 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({2, 2, 2, 10}) |
| 280 | : std::initializer_list<unsigned int>({2, 2, 10, 2}); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 281 | |
| 282 | // 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] | 283 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 284 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 285 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 286 | BOOST_TEST((inputHandle->GetShape() == inputShape)); |
| 287 | BOOST_TEST((outputHandle->GetShape() == outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 288 | } |
| 289 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 290 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 291 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 292 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 293 | } |
| 294 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 295 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 296 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 297 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 298 | } |
| 299 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 300 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
| 301 | { |
| 302 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 303 | } |
| 304 | |
| 305 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 306 | { |
| 307 | ClConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 308 | } |
| 309 | |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 310 | template <typename DepthwiseConvolutionWorkloadType, typename armnn::DataType DataType> |
| 311 | static void ClDepthwiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 312 | { |
| 313 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 314 | ClWorkloadFactory factory = |
| 315 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 316 | |
| 317 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<DepthwiseConvolutionWorkloadType, DataType> |
| 318 | (factory, graph, dataLayout); |
| 319 | |
| 320 | // Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest). |
| 321 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 322 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 323 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 324 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 325 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 326 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 327 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 328 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 329 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 330 | BOOST_TEST((inputHandle->GetShape() == inputShape)); |
| 331 | BOOST_TEST((outputHandle->GetShape() == outputShape)); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 332 | } |
| 333 | |
| 334 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolutionFloat32NhwcWorkload) |
| 335 | { |
| 336 | ClDepthwiseConvolutionWorkloadTest<ClDepthwiseConvolutionWorkload, DataType::Float32>(DataLayout::NHWC); |
| 337 | } |
| 338 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 339 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 340 | static void ClDirectConvolution2dWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 341 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 342 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 343 | ClWorkloadFactory factory = |
| 344 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 345 | |
Matthew Bentham | d806792 | 2018-10-03 17:18:04 +0100 | [diff] [blame] | 346 | auto workload = CreateDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 347 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 348 | // 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] | 349 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 350 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 351 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 352 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {2, 3, 6, 6})); |
| 353 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {2, 2, 6, 6})); |
| 354 | } |
| 355 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 356 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 357 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 358 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 359 | } |
| 360 | |
| 361 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dFloat16Workload) |
| 362 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 363 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | } |
| 365 | |
| 366 | BOOST_AUTO_TEST_CASE(CreateDirectConvolution2dUint8Workload) |
| 367 | { |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 368 | ClDirectConvolution2dWorkloadTest<ClConvolution2dWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 369 | } |
| 370 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 371 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 372 | static void ClCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 373 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 374 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 375 | ClWorkloadFactory factory = |
| 376 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 377 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 378 | auto workload = |
| 379 | CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 381 | // 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] | 382 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 383 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 384 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 385 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 1, 4, 5})); |
| 386 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 7})); |
| 387 | } |
| 388 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 389 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 390 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkloadTest) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 391 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 392 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 393 | } |
| 394 | |
| 395 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16WorkloadTest) |
| 396 | { |
Matthew Bentham | ab8cdc1 | 2018-09-17 11:17:41 +0100 | [diff] [blame] | 397 | ClCreateFullyConnectedWorkloadTest<ClFullyConnectedWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 398 | } |
| 399 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 400 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 401 | static void ClNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 402 | { |
| 403 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 404 | ClWorkloadFactory factory = |
| 405 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 406 | |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 407 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 408 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 409 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 410 | NormalizationQueueDescriptor 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 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 414 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({3, 5, 5, 1}) |
| 415 | : std::initializer_list<unsigned int>({3, 1, 5, 5}); |
| 416 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({3, 5, 5, 1}) |
| 417 | : std::initializer_list<unsigned int>({3, 1, 5, 5}); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 418 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 419 | BOOST_TEST((inputHandle->GetShape() == inputShape)); |
| 420 | BOOST_TEST((outputHandle->GetShape() == outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 421 | } |
| 422 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 423 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NchwWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 424 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 425 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 426 | } |
| 427 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 428 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 429 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 430 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 431 | } |
| 432 | |
| 433 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat32NhwcWorkload) |
| 434 | { |
| 435 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 436 | } |
| 437 | |
| 438 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 439 | { |
| 440 | ClNormalizationWorkloadTest<ClNormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 441 | } |
| 442 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 443 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 444 | static void ClPooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 445 | { |
| 446 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 447 | ClWorkloadFactory factory = |
| 448 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 449 | |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 450 | auto workload = CreatePooling2dWorkloadTest<ClPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 451 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 452 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({3, 2, 5, 5}) |
| 453 | : std::initializer_list<unsigned int>({3, 5, 5, 2}); |
| 454 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({3, 2, 2, 4}) |
| 455 | : std::initializer_list<unsigned int>({3, 2, 4, 2}); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 456 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 457 | // Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 458 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 459 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 460 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 461 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 462 | BOOST_TEST((inputHandle->GetShape() == inputShape)); |
| 463 | BOOST_TEST((outputHandle->GetShape() == outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 464 | } |
| 465 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 466 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 467 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 468 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 469 | } |
| 470 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 471 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 472 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 473 | ClPooling2dWorkloadTest<armnn::DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 474 | } |
| 475 | |
| 476 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NchwWorkload) |
| 477 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 478 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 479 | } |
| 480 | |
| 481 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NhwcWorkload) |
| 482 | { |
Nattapat Chaimanowong | ac9e096 | 2018-10-10 17:18:35 +0100 | [diff] [blame] | 483 | ClPooling2dWorkloadTest<armnn::DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 484 | } |
| 485 | |
Nikhil Raj | 91e4c6d | 2019-07-05 12:22:58 +0100 | [diff] [blame] | 486 | static void ClCreatePreluWorkloadTest(const armnn::TensorShape& inputShape, |
| 487 | const armnn::TensorShape& alphaShape, |
| 488 | const armnn::TensorShape& outputShape, |
| 489 | armnn::DataType dataType) |
| 490 | { |
| 491 | Graph graph; |
| 492 | ClWorkloadFactory factory = |
| 493 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 494 | |
| 495 | auto workload = CreatePreluWorkloadTest<ClPreluWorkload>(factory, |
| 496 | graph, |
| 497 | inputShape, |
| 498 | alphaShape, |
| 499 | outputShape, |
| 500 | dataType); |
| 501 | |
| 502 | // Checks that outputs and inputs are as we expect them (see definition of CreatePreluWorkloadTest). |
| 503 | PreluQueueDescriptor queueDescriptor = workload->GetData(); |
| 504 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 505 | auto alphaHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 506 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 507 | |
| 508 | BOOST_TEST((inputHandle->GetShape() == inputShape)); |
| 509 | BOOST_TEST((alphaHandle->GetShape() == alphaShape)); |
| 510 | BOOST_TEST((outputHandle->GetShape() == outputShape)); |
| 511 | } |
| 512 | |
| 513 | BOOST_AUTO_TEST_CASE(CreatePreluFloat16Workload) |
| 514 | { |
| 515 | ClCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float16); |
| 516 | } |
| 517 | |
| 518 | BOOST_AUTO_TEST_CASE(CreatePreluFloatWorkload) |
| 519 | { |
| 520 | ClCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float32); |
| 521 | } |
| 522 | |
| 523 | BOOST_AUTO_TEST_CASE(CreatePreluUint8Workload) |
| 524 | { |
| 525 | ClCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::QuantisedAsymm8); |
| 526 | } |
| 527 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 528 | template <typename armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 529 | static void ClCreateReshapeWorkloadTest() |
| 530 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 531 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 532 | ClWorkloadFactory factory = |
| 533 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 534 | |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 535 | auto workload = CreateReshapeWorkloadTest<ClReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 536 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 537 | // 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] | 538 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 539 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 540 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 541 | |
| 542 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 543 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {1, 4})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 544 | } |
| 545 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 546 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 547 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 548 | ClCreateReshapeWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 549 | } |
| 550 | |
| 551 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 552 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 553 | ClCreateReshapeWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 554 | } |
| 555 | |
| 556 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 557 | { |
Nattapat Chaimanowong | a76698c | 2018-10-11 10:29:15 +0100 | [diff] [blame] | 558 | ClCreateReshapeWorkloadTest<armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 559 | } |
| 560 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 561 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 562 | static void ClSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 564 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 565 | ClWorkloadFactory factory = |
| 566 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 567 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 568 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 569 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 570 | // Checks that inputs/outputs are as we expect them (see definition of ClSoftmaxFloatWorkload). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 571 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 572 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 573 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 574 | |
| 575 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {4, 1})); |
| 576 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {4, 1})); |
| 577 | } |
| 578 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 579 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 580 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkloadTest) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 581 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 582 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 583 | } |
| 584 | |
| 585 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16WorkloadTest) |
| 586 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 587 | ClSoftmaxWorkloadTest<ClSoftmaxFloatWorkload, armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 588 | } |
| 589 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 590 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 591 | static void ClSplitterWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 592 | { |
| 593 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 594 | ClWorkloadFactory factory = |
| 595 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 596 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 597 | auto workload = CreateSplitterWorkloadTest<ClSplitterWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 598 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 599 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 600 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 601 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 602 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {5, 7, 7})); |
| 603 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 604 | auto outputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 605 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle1, {2, 7, 7})); |
| 606 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 607 | auto outputHandle2 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 608 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle2, {2, 7, 7})); |
| 609 | |
| 610 | auto outputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 611 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle0, {1, 7, 7})); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 612 | } |
| 613 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 614 | BOOST_AUTO_TEST_CASE(CreateSplitterFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 615 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 616 | ClSplitterWorkloadTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 617 | } |
| 618 | |
| 619 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat16Workload) |
| 620 | { |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 621 | ClSplitterWorkloadTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 622 | } |
| 623 | |
Nattapat Chaimanowong | 02f8bc1 | 2018-10-11 16:16:17 +0100 | [diff] [blame] | 624 | template <typename armnn::DataType DataType> |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 625 | static void ClSplitterConcatTest() |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 626 | { |
| 627 | // Tests that it is possible to decide which output of the splitter layer |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 628 | // should be lined to which input of the concat layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 629 | // We test that is is possible to specify 0th output |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 630 | // of the splitter to be the 1st input to the concat and the 1st output of the splitter to be 0th input |
| 631 | // of the concat. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 632 | |
| 633 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 634 | ClWorkloadFactory factory = |
| 635 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 636 | |
| 637 | auto workloads = |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 638 | CreateSplitterConcatWorkloadTest<ClSplitterWorkload, ClConcatWorkload, DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 639 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 640 | |
| 641 | auto wlSplitter = std::move(workloads.first); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 642 | auto wlConcat = std::move(workloads.second); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 643 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 644 | //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] | 645 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 646 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 647 | armnn::ClSubTensorHandle* mIn0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlConcat->GetData().m_Inputs[0]); |
| 648 | armnn::ClSubTensorHandle* mIn1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlConcat->GetData().m_Inputs[1]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 649 | |
| 650 | BOOST_TEST(sOut0); |
| 651 | BOOST_TEST(sOut1); |
| 652 | BOOST_TEST(mIn0); |
| 653 | BOOST_TEST(mIn1); |
| 654 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 655 | //Fliped order of inputs/outputs. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 656 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 657 | BOOST_TEST(validDataPointers); |
| 658 | |
| 659 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 660 | //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] | 661 | bool validSubTensorParents = (mIn0->GetTensor().parent() == mIn1->GetTensor().parent()) |
| 662 | && (sOut0->GetTensor().parent() == sOut1->GetTensor().parent()); |
| 663 | |
| 664 | BOOST_TEST(validSubTensorParents); |
| 665 | } |
| 666 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 667 | BOOST_AUTO_TEST_CASE(CreateSplitterConcatFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 668 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 669 | ClSplitterConcatTest<armnn::DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 670 | } |
| 671 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 672 | BOOST_AUTO_TEST_CASE(CreateSplitterConcatFloat16Workload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 673 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 674 | ClSplitterConcatTest<armnn::DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 675 | } |
| 676 | |
| 677 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 678 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 679 | { |
| 680 | // 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] | 681 | // 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] | 682 | |
| 683 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 684 | ClWorkloadFactory factory = |
| 685 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 686 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 687 | std::unique_ptr<ClSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 688 | std::unique_ptr<ClActivationWorkload> wlActiv0_0; |
| 689 | std::unique_ptr<ClActivationWorkload> wlActiv0_1; |
| 690 | std::unique_ptr<ClActivationWorkload> wlActiv1_0; |
| 691 | std::unique_ptr<ClActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 692 | |
Matthew Bentham | 29cadb3 | 2018-10-01 17:22:32 +0100 | [diff] [blame] | 693 | CreateSplitterMultipleInputsOneOutputWorkloadTest<ClSplitterWorkload, |
Nattapat Chaimanowong | e06757e | 2018-10-11 15:39:18 +0100 | [diff] [blame] | 694 | ClActivationWorkload, armnn::DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 695 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 696 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 697 | //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] | 698 | armnn::ClSubTensorHandle* sOut0 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 699 | armnn::ClSubTensorHandle* sOut1 = dynamic_cast<armnn::ClSubTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 700 | armnn::ClSubTensorHandle* activ0_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 701 | armnn::ClSubTensorHandle* activ0_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 702 | armnn::ClSubTensorHandle* activ1_0Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 703 | armnn::ClSubTensorHandle* activ1_1Im = dynamic_cast<armnn::ClSubTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 704 | |
| 705 | |
| 706 | BOOST_TEST(sOut0); |
| 707 | BOOST_TEST(sOut1); |
| 708 | BOOST_TEST(activ0_0Im); |
| 709 | BOOST_TEST(activ0_1Im); |
| 710 | BOOST_TEST(activ1_0Im); |
| 711 | BOOST_TEST(activ1_1Im); |
| 712 | |
| 713 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 714 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 715 | |
| 716 | BOOST_TEST(validDataPointers); |
| 717 | } |
| 718 | |
Matteo Martincigh | db16dd3 | 2019-08-27 16:41:11 +0100 | [diff] [blame] | 719 | #if defined(ARMNNREF_ENABLED) |
Matteo Martincigh | e67edb2 | 2019-08-14 14:05:46 +0100 | [diff] [blame] | 720 | |
| 721 | // This test unit needs the reference backend, it's not available if the reference backend is not built |
| 722 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 723 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsCl) |
| 724 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 725 | ClWorkloadFactory factory = |
| 726 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 727 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 728 | CreateMemCopyWorkloads<IClTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 729 | } |
| 730 | |
Matteo Martincigh | e67edb2 | 2019-08-14 14:05:46 +0100 | [diff] [blame] | 731 | #endif |
| 732 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 733 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 734 | static void ClL2NormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 735 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 736 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 737 | ClWorkloadFactory factory = |
| 738 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 739 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 740 | auto workload = |
| 741 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 742 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 743 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 744 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 745 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 746 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 747 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 748 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 749 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
| 750 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 5, 20, 50, 67 }) |
| 751 | : std::initializer_list<unsigned int>({ 5, 50, 67, 20 }); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 752 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 753 | BOOST_TEST((inputHandle->GetShape() == inputShape)); |
| 754 | BOOST_TEST((outputHandle->GetShape() == outputShape)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 755 | } |
| 756 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 757 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNchwWorkload) |
| 758 | { |
| 759 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 760 | } |
| 761 | |
| 762 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloatNhwcWorkload) |
| 763 | { |
| 764 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 765 | } |
| 766 | |
| 767 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 768 | { |
| 769 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
| 770 | } |
| 771 | |
| 772 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 773 | { |
| 774 | ClL2NormalizationWorkloadTest<ClL2NormalizationFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 775 | } |
| 776 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 777 | template <typename LstmWorkloadType> |
| 778 | static void ClCreateLstmWorkloadTest() |
| 779 | { |
| 780 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 781 | ClWorkloadFactory factory = |
| 782 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 783 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 784 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 785 | |
| 786 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 787 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 788 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 789 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 2 })); |
| 790 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 4 })); |
| 791 | } |
| 792 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 793 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 794 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 795 | ClCreateLstmWorkloadTest<ClLstmFloatWorkload>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 796 | } |
| 797 | |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 798 | template <typename ResizeWorkloadType, typename armnn::DataType DataType> |
| 799 | static void ClResizeWorkloadTest(DataLayout dataLayout) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 800 | { |
| 801 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 802 | ClWorkloadFactory factory = |
| 803 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 804 | |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 805 | auto workload = CreateResizeBilinearWorkloadTest<ResizeWorkloadType, DataType>(factory, graph, dataLayout); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 806 | |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 807 | auto queueDescriptor = workload->GetData(); |
| 808 | |
| 809 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 810 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 811 | |
| 812 | switch (dataLayout) |
| 813 | { |
| 814 | case DataLayout::NHWC: |
| 815 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 816 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 817 | break; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 818 | case DataLayout::NCHW: |
| 819 | default: |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 820 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 821 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 822 | } |
| 823 | } |
| 824 | |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 825 | BOOST_AUTO_TEST_CASE(CreateResizeFloat32NchwWorkload) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 826 | { |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 827 | ClResizeWorkloadTest<ClResizeWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 828 | } |
| 829 | |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 830 | BOOST_AUTO_TEST_CASE(CreateResizeFloat16NchwWorkload) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 831 | { |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 832 | ClResizeWorkloadTest<ClResizeWorkload, armnn::DataType::Float16>(DataLayout::NCHW); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 833 | } |
| 834 | |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 835 | BOOST_AUTO_TEST_CASE(CreateResizeUint8NchwWorkload) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 836 | { |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 837 | ClResizeWorkloadTest<ClResizeWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 838 | } |
| 839 | |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 840 | BOOST_AUTO_TEST_CASE(CreateResizeFloat32NhwcWorkload) |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 841 | { |
Aron Virginas-Tar | cc0cefb | 2019-07-02 17:25:47 +0100 | [diff] [blame] | 842 | ClResizeWorkloadTest<ClResizeWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 843 | } |
| 844 | |
| 845 | BOOST_AUTO_TEST_CASE(CreateResizeFloat16NhwcWorkload) |
| 846 | { |
| 847 | ClResizeWorkloadTest<ClResizeWorkload, armnn::DataType::Float16>(DataLayout::NHWC); |
| 848 | } |
| 849 | |
| 850 | BOOST_AUTO_TEST_CASE(CreateResizeUint8NhwcWorkload) |
| 851 | { |
| 852 | ClResizeWorkloadTest<ClResizeWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NHWC); |
James Conroy | 074f371 | 2018-10-03 09:32:03 +0100 | [diff] [blame] | 853 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 854 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 855 | template <typename MeanWorkloadType, typename armnn::DataType DataType> |
| 856 | static void ClMeanWorkloadTest() |
| 857 | { |
| 858 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 859 | ClWorkloadFactory factory = |
| 860 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 861 | |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 862 | auto workload = CreateMeanWorkloadTest<MeanWorkloadType, DataType>(factory, graph); |
| 863 | |
| 864 | // Checks that inputs/outputs are as we expect them (see definition of CreateMeanWorkloadTest). |
| 865 | MeanQueueDescriptor queueDescriptor = workload->GetData(); |
| 866 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 867 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 868 | |
| 869 | // The first dimension (batch size) in both input and output is singular thus it has been reduced by ACL. |
Matthew Bentham | 8910528 | 2018-11-20 14:33:33 +0000 | [diff] [blame] | 870 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 1, 3, 7, 4 })); |
| 871 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 1, 4 })); |
Matteo Martincigh | 28dcab6 | 2018-10-19 16:40:03 +0100 | [diff] [blame] | 872 | } |
| 873 | |
| 874 | BOOST_AUTO_TEST_CASE(CreateMeanFloat32Workload) |
| 875 | { |
| 876 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float32>(); |
| 877 | } |
| 878 | |
| 879 | BOOST_AUTO_TEST_CASE(CreateMeanFloat16Workload) |
| 880 | { |
| 881 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float16>(); |
| 882 | } |
| 883 | |
| 884 | BOOST_AUTO_TEST_CASE(CreateMeanUint8Workload) |
| 885 | { |
| 886 | ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::QuantisedAsymm8>(); |
| 887 | } |
| 888 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 889 | template <typename ConcatWorkloadType, armnn::DataType DataType> |
| 890 | static void ClCreateConcatWorkloadTest(std::initializer_list<unsigned int> outputShape, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 891 | unsigned int concatAxis) |
| 892 | { |
| 893 | Graph graph; |
| 894 | ClWorkloadFactory factory = |
| 895 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 896 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 897 | auto workload = CreateConcatWorkloadTest<ConcatWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 898 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 899 | ConcatQueueDescriptor queueDescriptor = workload->GetData(); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 900 | auto inputHandle0 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 901 | auto inputHandle1 = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 902 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 903 | |
| 904 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle0, { 2, 3, 2, 5 })); |
| 905 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle1, { 2, 3, 2, 5 })); |
| 906 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
| 907 | } |
| 908 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 909 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 910 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 911 | ClCreateConcatWorkloadTest<ClConcatWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 912 | } |
| 913 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 914 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 915 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 916 | ClCreateConcatWorkloadTest<ClConcatWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 917 | } |
| 918 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 919 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 920 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 921 | ClCreateConcatWorkloadTest<ClConcatWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 922 | } |
| 923 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 924 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 925 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 926 | ClCreateConcatWorkloadTest<ClConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 4, 3, 2, 5 }, 0); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 927 | } |
| 928 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 929 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 930 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 931 | ClCreateConcatWorkloadTest<ClConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 6, 2, 5 }, 1); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 932 | } |
| 933 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 934 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 935 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 936 | ClCreateConcatWorkloadTest<ClConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }, 3); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 937 | } |
| 938 | |
James Conroy | 6059784 | 2019-07-02 10:57:56 +0100 | [diff] [blame] | 939 | template <typename SpaceToDepthWorkloadType, typename armnn::DataType DataType> |
| 940 | static void ClSpaceToDepthWorkloadTest() |
| 941 | { |
| 942 | Graph graph; |
| 943 | ClWorkloadFactory factory = |
| 944 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 945 | |
| 946 | auto workload = CreateSpaceToDepthWorkloadTest<SpaceToDepthWorkloadType, DataType>(factory, graph); |
| 947 | |
| 948 | SpaceToDepthQueueDescriptor queueDescriptor = workload->GetData(); |
| 949 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 950 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 951 | |
| 952 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 1, 2, 2, 1 })); |
| 953 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 1, 1, 1, 4 })); |
| 954 | } |
| 955 | |
| 956 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat32Workload) |
| 957 | { |
| 958 | ClSpaceToDepthWorkloadTest<ClSpaceToDepthWorkload, armnn::DataType::Float32>(); |
| 959 | } |
| 960 | |
| 961 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat16Workload) |
| 962 | { |
| 963 | ClSpaceToDepthWorkloadTest<ClSpaceToDepthWorkload, armnn::DataType::Float16>(); |
| 964 | } |
| 965 | |
| 966 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthQAsymm8Workload) |
| 967 | { |
| 968 | ClSpaceToDepthWorkloadTest<ClSpaceToDepthWorkload, armnn::DataType::QuantisedAsymm8>(); |
| 969 | } |
| 970 | |
| 971 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthQSymm16Workload) |
| 972 | { |
| 973 | ClSpaceToDepthWorkloadTest<ClSpaceToDepthWorkload, armnn::DataType::QuantisedSymm16>(); |
| 974 | } |
| 975 | |
Matthew Jackson | d516610 | 2019-07-31 14:06:28 +0100 | [diff] [blame] | 976 | template <armnn::DataType DataType> |
| 977 | static void ClCreateStackWorkloadTest(const std::initializer_list<unsigned int>& inputShape, |
| 978 | const std::initializer_list<unsigned int>& outputShape, |
| 979 | unsigned int axis, |
| 980 | unsigned int numInputs) |
| 981 | { |
| 982 | armnn::Graph graph; |
| 983 | ClWorkloadFactory factory = |
| 984 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 985 | |
| 986 | auto workload = CreateStackWorkloadTest<ClStackWorkload, DataType>(factory, |
| 987 | graph, |
| 988 | TensorShape(inputShape), |
| 989 | TensorShape(outputShape), |
| 990 | axis, |
| 991 | numInputs); |
| 992 | |
| 993 | // Check inputs and output are as expected |
| 994 | StackQueueDescriptor queueDescriptor = workload->GetData(); |
| 995 | for (unsigned int i = 0; i < numInputs; ++i) |
| 996 | { |
| 997 | auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[i]); |
| 998 | BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape)); |
| 999 | } |
| 1000 | auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 1001 | BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape)); |
| 1002 | } |
| 1003 | |
| 1004 | BOOST_AUTO_TEST_CASE(CreateStackFloat32Workload) |
| 1005 | { |
| 1006 | ClCreateStackWorkloadTest<armnn::DataType::Float32>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 1007 | } |
| 1008 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 1009 | BOOST_AUTO_TEST_CASE(CreateStackFloat16Workload) |
| 1010 | { |
| 1011 | ClCreateStackWorkloadTest<armnn::DataType::Float16>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 1012 | } |
| 1013 | |
Matthew Jackson | d516610 | 2019-07-31 14:06:28 +0100 | [diff] [blame] | 1014 | BOOST_AUTO_TEST_CASE(CreateStackUint8Workload) |
| 1015 | { |
| 1016 | ClCreateStackWorkloadTest<armnn::DataType::QuantisedAsymm8>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 1017 | } |
| 1018 | |
Ferran Balaguer | 737d9ff | 2019-08-01 09:58:08 +0100 | [diff] [blame] | 1019 | template <typename QuantizedLstmWorkloadType> |
| 1020 | static void ClCreateQuantizedLstmWorkloadTest() |
| 1021 | { |
| 1022 | using namespace armnn::armcomputetensorutils; |
| 1023 | using boost::polymorphic_downcast; |
| 1024 | |
| 1025 | Graph graph; |
| 1026 | ClWorkloadFactory factory = |
| 1027 | ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| 1028 | |
| 1029 | auto workload = CreateQuantizedLstmWorkloadTest<QuantizedLstmWorkloadType>(factory, graph); |
| 1030 | |
| 1031 | QuantizedLstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 1032 | |
| 1033 | IAclTensorHandle* inputHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 1034 | BOOST_TEST((inputHandle->GetShape() == TensorShape({2, 2}))); |
| 1035 | BOOST_TEST((inputHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 1036 | |
| 1037 | IAclTensorHandle* cellStateInHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 1038 | BOOST_TEST((cellStateInHandle->GetShape() == TensorShape({2, 4}))); |
| 1039 | BOOST_TEST((cellStateInHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 1040 | |
| 1041 | IAclTensorHandle* outputStateInHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[2]); |
| 1042 | BOOST_TEST((outputStateInHandle->GetShape() == TensorShape({2, 4}))); |
| 1043 | BOOST_TEST((outputStateInHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 1044 | |
| 1045 | IAclTensorHandle* cellStateOutHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 1046 | BOOST_TEST((cellStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 1047 | BOOST_TEST((cellStateOutHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 1048 | |
| 1049 | IAclTensorHandle* outputStateOutHandle = polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 1050 | BOOST_TEST((outputStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 1051 | BOOST_TEST((outputStateOutHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 1052 | } |
| 1053 | |
| 1054 | BOOST_AUTO_TEST_CASE(CreateQuantizedLstmWorkload) |
| 1055 | { |
| 1056 | ClCreateQuantizedLstmWorkloadTest<ClQuantizedLstmWorkload>(); |
| 1057 | } |
| 1058 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1059 | BOOST_AUTO_TEST_SUITE_END() |