telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. 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 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 6 | #include "NeonWorkloadFactoryHelper.hpp" |
| 7 | |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 8 | #include <aclCommon/ArmComputeTensorUtils.hpp> |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 9 | #include <armnn/utility/PolymorphicDowncast.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 10 | #include <backendsCommon/MemCopyWorkload.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 11 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 12 | #include <aclCommon/test/CreateWorkloadClNeon.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 <neon/NeonWorkloadFactory.hpp> |
| 15 | #include <neon/NeonTensorHandle.hpp> |
| 16 | #include <neon/workloads/NeonWorkloadUtils.hpp> |
| 17 | #include <neon/workloads/NeonWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | |
| 19 | BOOST_AUTO_TEST_SUITE(CreateWorkloadNeon) |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 24 | boost::test_tools::predicate_result CompareIAclTensorHandleShape(IAclTensorHandle* tensorHandle, |
| 25 | std::initializer_list<unsigned int> expectedDimensions) |
| 26 | { |
| 27 | return CompareTensorHandleShape<IAclTensorHandle>(tensorHandle, expectedDimensions); |
| 28 | } |
| 29 | |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 30 | bool TestNeonTensorHandleInfo(armnn::IAclTensorHandle* handle, const armnn::TensorInfo& expectedInfo) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 31 | { |
| 32 | using namespace armnn::armcomputetensorutils; |
| 33 | |
| 34 | const arm_compute::ITensorInfo* handleInfo = handle->GetTensor().info(); |
| 35 | const arm_compute::TensorInfo expectedAclInfo = BuildArmComputeTensorInfo(expectedInfo); |
| 36 | |
| 37 | if (handleInfo->data_type() != expectedAclInfo.data_type()) |
| 38 | { |
| 39 | return false; |
| 40 | } |
| 41 | |
| 42 | if (handleInfo->num_dimensions() != expectedAclInfo.num_dimensions()) |
| 43 | { |
| 44 | return false; |
| 45 | } |
| 46 | |
| 47 | if (handleInfo->quantization_info() != expectedAclInfo.quantization_info()) |
| 48 | { |
| 49 | return false; |
| 50 | } |
| 51 | |
| 52 | for (std::size_t d = 0; d < expectedAclInfo.num_dimensions(); ++d) |
| 53 | { |
| 54 | if (handleInfo->dimension(d) != expectedAclInfo.dimension(d)) |
| 55 | { |
| 56 | return false; |
| 57 | } |
| 58 | } |
| 59 | |
| 60 | return true; |
| 61 | } |
| 62 | |
| 63 | } // namespace |
| 64 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 65 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 66 | static void NeonCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 67 | { |
| 68 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 69 | NeonWorkloadFactory factory = |
| 70 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 71 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 72 | auto workload = CreateActivationWorkloadTest<NeonActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 73 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 74 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 75 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 76 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 77 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 78 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({1, 1}, DataType))); |
| 79 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 80 | } |
| 81 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 82 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 83 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 84 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 85 | NeonCreateActivationWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 86 | } |
| 87 | #endif |
| 88 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 89 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 90 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 91 | NeonCreateActivationWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 92 | } |
| 93 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 94 | template <typename WorkloadType, |
| 95 | typename DescriptorType, |
| 96 | typename LayerType, |
| 97 | armnn::DataType DataType> |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 98 | static void NeonCreateElementwiseWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 99 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 100 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 101 | NeonWorkloadFactory factory = |
| 102 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 103 | |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 104 | auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 105 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 106 | DescriptorType queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 107 | auto inputHandle1 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 108 | auto inputHandle2 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 109 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 110 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({2, 3}, DataType))); |
| 111 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle2, TensorInfo({2, 3}, DataType))); |
| 112 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 113 | } |
| 114 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 115 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 116 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 117 | { |
Matthew Bentham | 955258d | 2018-12-10 10:48:52 +0000 | [diff] [blame] | 118 | NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 119 | AdditionQueueDescriptor, |
| 120 | AdditionLayer, |
| 121 | DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 122 | } |
| 123 | #endif |
| 124 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 125 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 126 | { |
Matthew Bentham | 955258d | 2018-12-10 10:48:52 +0000 | [diff] [blame] | 127 | NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 128 | AdditionQueueDescriptor, |
| 129 | AdditionLayer, |
| 130 | DataType::Float32>(); |
| 131 | } |
| 132 | |
| 133 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 134 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 135 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 136 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 137 | SubtractionQueueDescriptor, |
| 138 | SubtractionLayer, |
| 139 | DataType::Float16>(); |
| 140 | } |
| 141 | #endif |
| 142 | |
| 143 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 144 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 145 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 146 | SubtractionQueueDescriptor, |
| 147 | SubtractionLayer, |
| 148 | DataType::Float32>(); |
| 149 | } |
| 150 | |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 151 | BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) |
| 152 | { |
| 153 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
| 154 | SubtractionQueueDescriptor, |
| 155 | SubtractionLayer, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 156 | DataType::QAsymmU8>(); |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 157 | } |
| 158 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 159 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 160 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16Workload) |
| 161 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 162 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 163 | MultiplicationQueueDescriptor, |
| 164 | MultiplicationLayer, |
| 165 | DataType::Float16>(); |
| 166 | } |
| 167 | #endif |
| 168 | |
| 169 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 170 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 171 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 172 | MultiplicationQueueDescriptor, |
| 173 | MultiplicationLayer, |
| 174 | DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 175 | } |
| 176 | |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 177 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) |
| 178 | { |
| 179 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
| 180 | MultiplicationQueueDescriptor, |
| 181 | MultiplicationLayer, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 182 | DataType::QAsymmU8>(); |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 183 | } |
| 184 | |
Pablo Tello | e61f071 | 2020-01-23 10:37:17 +0000 | [diff] [blame] | 185 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 186 | { |
| 187 | NeonCreateElementwiseWorkloadTest<NeonDivisionWorkload, |
| 188 | DivisionQueueDescriptor, |
| 189 | DivisionLayer, |
| 190 | armnn::DataType::Float32>(); |
| 191 | } |
| 192 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 193 | template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 194 | static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 195 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 196 | Graph graph; |
| 197 | NeonWorkloadFactory factory = |
| 198 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 199 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 200 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 201 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 202 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 203 | // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 204 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 205 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 206 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 207 | |
| 208 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 209 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 210 | |
| 211 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 212 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 213 | } |
| 214 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 215 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 216 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 217 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 218 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float16>(DataLayout::NCHW); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 219 | } |
| 220 | |
| 221 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NhwcWorkload) |
| 222 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 223 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 224 | } |
| 225 | #endif |
| 226 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 227 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 228 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 229 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float32>(DataLayout::NCHW); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 230 | } |
| 231 | |
| 232 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 233 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 234 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float32>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 235 | } |
| 236 | |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 237 | template <typename armnn::DataType DataType> |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 238 | static void NeonCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 239 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 240 | Graph graph; |
| 241 | NeonWorkloadFactory factory = |
| 242 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 243 | |
| 244 | auto workload = CreateConvolution2dWorkloadTest<NeonConvolution2dWorkload, DataType>(factory, graph, dataLayout); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 245 | |
| 246 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 8, 16} : TensorShape{2, 8, 16, 3}; |
| 247 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 2, 2, 10} : TensorShape{2, 2, 10, 2}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 248 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 249 | // 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] | 250 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 251 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 252 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 253 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 254 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
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 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 258 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 259 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 260 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 261 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 262 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 263 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 264 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 265 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 266 | } |
| 267 | |
| 268 | #endif |
| 269 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 270 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 271 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 272 | } |
| 273 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 274 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 275 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 276 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 277 | } |
| 278 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 279 | template <typename armnn::DataType DataType> |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 280 | static void NeonCreateDepthWiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 281 | { |
| 282 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 283 | NeonWorkloadFactory factory = |
| 284 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 285 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 286 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<NeonDepthwiseConvolutionWorkload, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 287 | DataType>(factory, graph, dataLayout); |
| 288 | |
| 289 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 290 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 291 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 292 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 293 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 294 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 295 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 296 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 297 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 298 | |
| 299 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 300 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 301 | } |
| 302 | |
| 303 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat32NhwcWorkload) |
| 304 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 305 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 306 | } |
| 307 | |
| 308 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 309 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat16NhwcWorkload) |
| 310 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 311 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 312 | } |
| 313 | #endif |
| 314 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 315 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 316 | static void NeonCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 317 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 318 | Graph graph; |
| 319 | NeonWorkloadFactory factory = |
| 320 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 321 | |
| 322 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 323 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 324 | // 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] | 325 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 326 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 327 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Kevin May | be7e35c | 2020-04-29 17:05:05 +0100 | [diff] [blame] | 328 | |
| 329 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 330 | float inputsQScale = DataType == armnn::DataType::QAsymmU8 ? 1.0f : 0.0; |
| 331 | float outputQScale = DataType == armnn::DataType::QAsymmU8 ? 2.0f : 0.0; |
| 332 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 1, 4, 5}, DataType, inputsQScale))); |
| 333 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 7}, DataType, outputQScale))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 334 | } |
| 335 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 336 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 337 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16Workload) |
| 338 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 339 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 340 | } |
| 341 | #endif |
| 342 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 343 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 344 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 345 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 346 | } |
| 347 | |
Kevin May | be7e35c | 2020-04-29 17:05:05 +0100 | [diff] [blame] | 348 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedQAsymmU8Workload) |
| 349 | { |
| 350 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::QAsymmU8>(); |
| 351 | } |
| 352 | |
| 353 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedQAsymmS8Workload) |
| 354 | { |
| 355 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::QAsymmS8>(); |
| 356 | } |
| 357 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 358 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 359 | static void NeonCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 360 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 361 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 362 | NeonWorkloadFactory factory = |
| 363 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 364 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 365 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 366 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 367 | // Checks that outputs and inputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 368 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 369 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 370 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 371 | |
| 372 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 373 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 374 | |
| 375 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 376 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 377 | } |
| 378 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 379 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 380 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 381 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 382 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 383 | } |
| 384 | |
| 385 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 386 | { |
| 387 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 388 | } |
| 389 | #endif |
| 390 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 391 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 392 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 393 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 394 | } |
| 395 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 396 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload) |
| 397 | { |
| 398 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 399 | } |
| 400 | |
| 401 | |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 402 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 403 | static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 404 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | Graph graph; |
| 406 | NeonWorkloadFactory factory = |
| 407 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 408 | |
| 409 | auto workload = CreatePooling2dWorkloadTest<NeonPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 410 | |
| 411 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2}; |
| 412 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 2, 4} : TensorShape{3, 2, 4, 2}; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 413 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 414 | // Checks that outputs and inputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 415 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 416 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 417 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 418 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 419 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 420 | } |
| 421 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 422 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 423 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 424 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 425 | NeonCreatePooling2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 426 | } |
| 427 | #endif |
| 428 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 429 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 430 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 431 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 432 | } |
| 433 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 434 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 435 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 436 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 437 | } |
| 438 | |
| 439 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload) |
| 440 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 441 | NeonCreatePooling2dWorkloadTest<DataType::QAsymmU8>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 442 | } |
| 443 | |
| 444 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 445 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 446 | NeonCreatePooling2dWorkloadTest<DataType::QAsymmU8>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 447 | } |
| 448 | |
Nikhil Raj | 9b46148 | 2019-07-03 15:58:31 +0100 | [diff] [blame] | 449 | static void NeonCreatePreluWorkloadTest(const armnn::TensorShape& inputShape, |
| 450 | const armnn::TensorShape& alphaShape, |
| 451 | const armnn::TensorShape& outputShape, |
| 452 | armnn::DataType dataType) |
| 453 | { |
| 454 | Graph graph; |
| 455 | NeonWorkloadFactory factory = |
| 456 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 457 | |
| 458 | auto workload = CreatePreluWorkloadTest<NeonPreluWorkload>(factory, |
| 459 | graph, |
| 460 | inputShape, |
| 461 | alphaShape, |
| 462 | outputShape, |
| 463 | dataType); |
| 464 | |
| 465 | // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). |
| 466 | PreluQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 467 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 468 | auto alphaHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 469 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | 9b46148 | 2019-07-03 15:58:31 +0100 | [diff] [blame] | 470 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, dataType))); |
| 471 | BOOST_TEST(TestNeonTensorHandleInfo(alphaHandle, TensorInfo(alphaShape, dataType))); |
| 472 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, dataType))); |
| 473 | } |
| 474 | |
| 475 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 476 | BOOST_AUTO_TEST_CASE(CreatePreluFloat16Workload) |
| 477 | { |
| 478 | NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float16); |
| 479 | } |
| 480 | #endif |
| 481 | |
| 482 | BOOST_AUTO_TEST_CASE(CreatePreluFloatWorkload) |
| 483 | { |
| 484 | NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float32); |
| 485 | } |
| 486 | |
| 487 | BOOST_AUTO_TEST_CASE(CreatePreluUint8Workload) |
| 488 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 489 | NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::QAsymmU8); |
Nikhil Raj | 9b46148 | 2019-07-03 15:58:31 +0100 | [diff] [blame] | 490 | } |
| 491 | |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 492 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 493 | static void NeonCreateReshapeWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 494 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 495 | Graph graph; |
| 496 | NeonWorkloadFactory factory = |
| 497 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 498 | |
| 499 | auto workload = CreateReshapeWorkloadTest<NeonReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 501 | // 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] | 502 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 503 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 504 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 505 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 506 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 4}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 507 | } |
| 508 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 509 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 510 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 511 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 512 | NeonCreateReshapeWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 513 | } |
| 514 | #endif |
| 515 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 516 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 517 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 518 | NeonCreateReshapeWorkloadTest<DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 519 | } |
| 520 | |
| 521 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 522 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 523 | NeonCreateReshapeWorkloadTest<DataType::QAsymmU8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 524 | } |
| 525 | |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 526 | template <typename ResizeWorkloadType, armnn::DataType DataType> |
| 527 | static void NeonCreateResizeWorkloadTest(DataLayout dataLayout) |
| 528 | { |
| 529 | Graph graph; |
| 530 | NeonWorkloadFactory factory = |
| 531 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 532 | auto workload = CreateResizeBilinearWorkloadTest<ResizeWorkloadType, DataType>(factory, graph, dataLayout); |
| 533 | |
| 534 | auto queueDescriptor = workload->GetData(); |
| 535 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 536 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 537 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 538 | |
| 539 | switch (dataLayout) |
| 540 | { |
| 541 | case DataLayout::NHWC: |
| 542 | BOOST_TEST(CompareIAclTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 543 | BOOST_TEST(CompareIAclTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 544 | break; |
| 545 | case DataLayout::NCHW: |
| 546 | default: |
| 547 | BOOST_TEST(CompareIAclTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 548 | BOOST_TEST(CompareIAclTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 549 | } |
| 550 | } |
| 551 | |
| 552 | BOOST_AUTO_TEST_CASE(CreateResizeFloat32NchwWorkload) |
| 553 | { |
| 554 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 555 | } |
| 556 | |
| 557 | BOOST_AUTO_TEST_CASE(CreateResizeUint8NchwWorkload) |
| 558 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 559 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::QAsymmU8>(DataLayout::NCHW); |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 560 | } |
| 561 | |
| 562 | BOOST_AUTO_TEST_CASE(CreateResizeFloat32NhwcWorkload) |
| 563 | { |
| 564 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 565 | } |
| 566 | |
| 567 | BOOST_AUTO_TEST_CASE(CreateResizeUint8NhwcWorkload) |
| 568 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 569 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::QAsymmU8>(DataLayout::NHWC); |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 570 | } |
| 571 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 572 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 573 | static void NeonCreateSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 574 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 575 | Graph graph; |
| 576 | NeonWorkloadFactory factory = |
| 577 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 578 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 579 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 580 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 581 | // Checks that outputs and inputs are as we expect them (see definition of CreateSoftmaxWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 582 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 583 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 584 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 585 | armnn::TensorInfo tensorInfo({4, 1}, DataType); |
| 586 | if (DataType == armnn::DataType::QAsymmU8) |
| 587 | { |
| 588 | tensorInfo.SetQuantizationOffset(0); |
| 589 | tensorInfo.SetQuantizationScale(1.f / 256); |
| 590 | } |
| 591 | else if (DataType == armnn::DataType::QAsymmS8) |
| 592 | { |
| 593 | tensorInfo.SetQuantizationOffset(-128); |
| 594 | tensorInfo.SetQuantizationScale(1.f / 256); |
| 595 | } |
| 596 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, tensorInfo)); |
| 597 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, tensorInfo)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 598 | } |
| 599 | |
| 600 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 601 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16Workload) |
| 602 | { |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 603 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 604 | } |
| 605 | #endif |
| 606 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 607 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 608 | { |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 609 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::Float32>(); |
| 610 | } |
| 611 | |
| 612 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQAsymmU8Workload) |
| 613 | { |
| 614 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::QAsymmU8>(); |
| 615 | } |
| 616 | |
| 617 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQAsymmS8Workload) |
| 618 | { |
| 619 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::QAsymmS8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 620 | } |
| 621 | |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 622 | template <typename SpaceToDepthWorkloadType, typename armnn::DataType DataType> |
| 623 | static void NeonSpaceToDepthWorkloadTest() |
| 624 | { |
| 625 | Graph graph; |
| 626 | NeonWorkloadFactory factory = |
| 627 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 628 | |
| 629 | auto workload = CreateSpaceToDepthWorkloadTest<SpaceToDepthWorkloadType, DataType>(factory, graph); |
| 630 | |
| 631 | SpaceToDepthQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 632 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 633 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 634 | |
| 635 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({ 1, 2, 2, 1 }, DataType))); |
| 636 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({ 1, 1, 1, 4 }, DataType))); |
| 637 | } |
| 638 | |
| 639 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat32Workload) |
| 640 | { |
| 641 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::Float32>(); |
| 642 | } |
| 643 | |
| 644 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat16Workload) |
| 645 | { |
| 646 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::Float16>(); |
| 647 | } |
| 648 | |
| 649 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthQAsymm8Workload) |
| 650 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 651 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::QAsymmU8>(); |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 652 | } |
| 653 | |
| 654 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthQSymm16Workload) |
| 655 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 656 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::QSymmS16>(); |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 657 | } |
| 658 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 659 | BOOST_AUTO_TEST_CASE(CreateSplitterWorkload) |
| 660 | { |
| 661 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 662 | NeonWorkloadFactory factory = |
| 663 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 664 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 665 | auto workload = CreateSplitterWorkloadTest<NeonSplitterWorkload, DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 666 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 667 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 668 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 669 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 670 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({5, 7, 7}, DataType::Float32))); |
| 671 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 672 | auto outputHandle0 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 673 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle0, TensorInfo({1, 7, 7}, DataType::Float32))); |
| 674 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 675 | auto outputHandle1 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 676 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle1, TensorInfo({2, 7, 7}, DataType::Float32))); |
| 677 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 678 | auto outputHandle2 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 679 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle2, TensorInfo({2, 7, 7}, DataType::Float32))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 680 | } |
| 681 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 682 | BOOST_AUTO_TEST_CASE(CreateSplitterConcat) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 683 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 684 | // 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] | 685 | // should be lined to which input of the concat layer. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 686 | // We tested that is is possible to specify 0th output |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 687 | // of the splitter to be the 1st input to the concat, and the 1st output of the splitter to be 0th input |
| 688 | // of the concat. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 689 | |
| 690 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 691 | NeonWorkloadFactory factory = |
| 692 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 693 | |
| 694 | auto workloads = |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 695 | CreateSplitterConcatWorkloadTest<NeonSplitterWorkload, NeonConcatWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 696 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 697 | |
| 698 | auto wlSplitter = std::move(workloads.first); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 699 | auto wlConcat = std::move(workloads.second); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 700 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 701 | //Checks that the index of inputs/outputs matches what we declared on InputDescriptor construction. |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 702 | armnn::IAclTensorHandle* sOut0 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 703 | armnn::IAclTensorHandle* sOut1 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 704 | armnn::IAclTensorHandle* mIn0 = dynamic_cast<armnn::IAclTensorHandle*>(wlConcat->GetData().m_Inputs[0]); |
| 705 | armnn::IAclTensorHandle* mIn1 = dynamic_cast<armnn::IAclTensorHandle*>(wlConcat->GetData().m_Inputs[1]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 706 | |
| 707 | BOOST_TEST(sOut0); |
| 708 | BOOST_TEST(sOut1); |
| 709 | BOOST_TEST(mIn0); |
| 710 | BOOST_TEST(mIn1); |
| 711 | |
| 712 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 713 | |
| 714 | BOOST_TEST(validDataPointers); |
| 715 | } |
| 716 | |
| 717 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 718 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 719 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 720 | // We created 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] | 721 | |
| 722 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 723 | NeonWorkloadFactory factory = |
| 724 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 725 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 726 | std::unique_ptr<NeonSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 727 | std::unique_ptr<NeonActivationWorkload> wlActiv0_0; |
| 728 | std::unique_ptr<NeonActivationWorkload> wlActiv0_1; |
| 729 | std::unique_ptr<NeonActivationWorkload> wlActiv1_0; |
| 730 | std::unique_ptr<NeonActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 731 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 732 | CreateSplitterMultipleInputsOneOutputWorkloadTest<NeonSplitterWorkload, |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 733 | NeonActivationWorkload, DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
| 734 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 735 | |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 736 | armnn::IAclTensorHandle* sOut0 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 737 | armnn::IAclTensorHandle* sOut1 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 738 | armnn::IAclTensorHandle* activ0_0Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 739 | armnn::IAclTensorHandle* activ0_1Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 740 | armnn::IAclTensorHandle* activ1_0Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 741 | armnn::IAclTensorHandle* activ1_1Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 742 | |
| 743 | |
| 744 | BOOST_TEST(sOut0); |
| 745 | BOOST_TEST(sOut1); |
| 746 | BOOST_TEST(activ0_0Im); |
| 747 | BOOST_TEST(activ0_1Im); |
| 748 | BOOST_TEST(activ1_0Im); |
| 749 | BOOST_TEST(activ1_1Im); |
| 750 | |
| 751 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 752 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 753 | |
| 754 | BOOST_TEST(validDataPointers); |
| 755 | } |
| 756 | |
Matteo Martincigh | db16dd3 | 2019-08-27 16:41:11 +0100 | [diff] [blame] | 757 | #if defined(ARMNNREF_ENABLED) |
Matteo Martincigh | e67edb2 | 2019-08-14 14:05:46 +0100 | [diff] [blame] | 758 | |
| 759 | // This test unit needs the reference backend, it's not available if the reference backend is not built |
| 760 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 761 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) |
| 762 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 763 | NeonWorkloadFactory factory = |
| 764 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 765 | CreateMemCopyWorkloads<IAclTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 766 | } |
| 767 | |
Matteo Martincigh | e67edb2 | 2019-08-14 14:05:46 +0100 | [diff] [blame] | 768 | #endif |
| 769 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 770 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 771 | static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) |
| 772 | { |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 773 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 774 | NeonWorkloadFactory factory = |
| 775 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 776 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 777 | auto workload = |
| 778 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 779 | |
| 780 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 781 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 782 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 783 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 784 | |
| 785 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? |
| 786 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 787 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? |
| 788 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 789 | |
| 790 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 791 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 792 | } |
| 793 | |
| 794 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 795 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 796 | { |
| 797 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 798 | } |
| 799 | |
| 800 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 801 | { |
| 802 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 803 | } |
| 804 | #endif |
| 805 | |
| 806 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) |
| 807 | { |
| 808 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 809 | } |
| 810 | |
| 811 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) |
| 812 | { |
| 813 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 814 | } |
| 815 | |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 816 | template <typename LogSoftmaxWorkloadType, typename armnn::DataType DataType> |
| 817 | static void NeonCreateLogSoftmaxWorkloadTest() |
| 818 | { |
| 819 | Graph graph; |
| 820 | NeonWorkloadFactory factory = |
| 821 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 822 | |
| 823 | auto workload = CreateLogSoftmaxWorkloadTest<LogSoftmaxWorkloadType, DataType>(factory, graph); |
| 824 | |
| 825 | // Checks that outputs and inputs are as we expect them (see definition of CreateLogSoftmaxWorkloadTest). |
| 826 | LogSoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
| 827 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 828 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 829 | armnn::TensorInfo tensorInfo({4, 1}, DataType); |
| 830 | |
| 831 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, tensorInfo)); |
| 832 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, tensorInfo)); |
| 833 | } |
| 834 | |
| 835 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 836 | BOOST_AUTO_TEST_CASE(CreateLogSoftmaxFloat16Workload) |
| 837 | { |
| 838 | NeonCreateLogSoftmaxWorkloadTest<NeonLogSoftmaxWorkload, DataType::Float16>(); |
| 839 | } |
| 840 | #endif |
| 841 | |
| 842 | BOOST_AUTO_TEST_CASE(CreateLogSoftmaxFloatWorkload) |
| 843 | { |
| 844 | NeonCreateLogSoftmaxWorkloadTest<NeonLogSoftmaxWorkload, DataType::Float32>(); |
| 845 | } |
| 846 | |
Jan Eilers | ad5293a | 2019-07-08 09:57:55 +0100 | [diff] [blame] | 847 | template <typename LstmWorkloadType> |
| 848 | static void NeonCreateLstmWorkloadTest() |
| 849 | { |
| 850 | Graph graph; |
| 851 | NeonWorkloadFactory factory = |
| 852 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 853 | |
| 854 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 855 | |
| 856 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 857 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 858 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 859 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
Jan Eilers | ad5293a | 2019-07-08 09:57:55 +0100 | [diff] [blame] | 860 | |
| 861 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({ 2, 2 }, DataType::Float32))); |
| 862 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({ 2, 4 }, DataType::Float32))); |
| 863 | } |
| 864 | |
| 865 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
| 866 | { |
| 867 | NeonCreateLstmWorkloadTest<NeonLstmFloatWorkload>(); |
| 868 | } |
| 869 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 870 | template <typename ConcatWorkloadType, armnn::DataType DataType> |
| 871 | static void NeonCreateConcatWorkloadTest(std::initializer_list<unsigned int> outputShape, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 872 | unsigned int concatAxis) |
| 873 | { |
| 874 | Graph graph; |
| 875 | NeonWorkloadFactory factory = |
| 876 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 877 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 878 | auto workload = CreateConcatWorkloadTest<ConcatWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 879 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 880 | ConcatQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 881 | auto inputHandle0 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 882 | auto inputHandle1 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 883 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 884 | |
| 885 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle0, TensorInfo({ 2, 3, 2, 5 }, DataType))); |
| 886 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({ 2, 3, 2, 5 }, DataType))); |
| 887 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 888 | } |
| 889 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 890 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 891 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 892 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 893 | } |
| 894 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 895 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 896 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 897 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 898 | } |
| 899 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 900 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 901 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 902 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 903 | } |
| 904 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 905 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 906 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 907 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::QAsymmU8>({ 4, 3, 2, 5 }, 0); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 908 | } |
| 909 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 910 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 911 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 912 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 6, 2, 5 }, 1); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 913 | } |
| 914 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 915 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 916 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 917 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 3, 2, 10 }, 3); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 918 | } |
| 919 | |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 920 | template <armnn::DataType DataType> |
| 921 | static void NeonCreateStackWorkloadTest(const std::initializer_list<unsigned int>& inputShape, |
| 922 | const std::initializer_list<unsigned int>& outputShape, |
| 923 | unsigned int axis, |
| 924 | unsigned int numInputs) |
| 925 | { |
| 926 | armnn::Graph graph; |
| 927 | NeonWorkloadFactory factory = |
| 928 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 929 | |
| 930 | auto workload = CreateStackWorkloadTest<NeonStackWorkload, DataType>(factory, |
| 931 | graph, |
| 932 | TensorShape(inputShape), |
| 933 | TensorShape(outputShape), |
| 934 | axis, |
| 935 | numInputs); |
| 936 | |
| 937 | // Check inputs and output are as expected |
| 938 | StackQueueDescriptor queueDescriptor = workload->GetData(); |
| 939 | for (unsigned int i = 0; i < numInputs; ++i) |
| 940 | { |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 941 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[i]); |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 942 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 943 | } |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 944 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 945 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 946 | } |
| 947 | |
| 948 | BOOST_AUTO_TEST_CASE(CreateStackFloat32Workload) |
| 949 | { |
| 950 | NeonCreateStackWorkloadTest<armnn::DataType::Float32>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 951 | } |
| 952 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 953 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 954 | BOOST_AUTO_TEST_CASE(CreateStackFloat16Workload) |
| 955 | { |
| 956 | NeonCreateStackWorkloadTest<armnn::DataType::Float16>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 957 | } |
| 958 | #endif |
| 959 | |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 960 | BOOST_AUTO_TEST_CASE(CreateStackUint8Workload) |
| 961 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 962 | NeonCreateStackWorkloadTest<armnn::DataType::QAsymmU8>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 963 | } |
| 964 | |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 965 | template <typename QuantizedLstmWorkloadType> |
| 966 | static void NeonCreateQuantizedLstmWorkloadTest() |
| 967 | { |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 968 | Graph graph; |
| 969 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 970 | |
| 971 | auto workload = CreateQuantizedLstmWorkloadTest<QuantizedLstmWorkloadType>(factory, graph); |
| 972 | |
| 973 | QuantizedLstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 974 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 975 | IAclTensorHandle* inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 976 | BOOST_TEST((inputHandle->GetShape() == TensorShape({2, 2}))); |
| 977 | BOOST_TEST((inputHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 978 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 979 | IAclTensorHandle* cellStateInHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 980 | BOOST_TEST((cellStateInHandle->GetShape() == TensorShape({2, 4}))); |
| 981 | BOOST_TEST((cellStateInHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 982 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 983 | IAclTensorHandle* outputStateInHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[2]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 984 | BOOST_TEST((outputStateInHandle->GetShape() == TensorShape({2, 4}))); |
| 985 | BOOST_TEST((outputStateInHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 986 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 987 | IAclTensorHandle* cellStateOutHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 988 | BOOST_TEST((cellStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 989 | BOOST_TEST((cellStateOutHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 990 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 991 | IAclTensorHandle* outputStateOutHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 992 | BOOST_TEST((outputStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 993 | BOOST_TEST((outputStateOutHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 994 | } |
| 995 | |
| 996 | BOOST_AUTO_TEST_CASE(CreateQuantizedLstmWorkload) |
| 997 | { |
| 998 | NeonCreateQuantizedLstmWorkloadTest<NeonQuantizedLstmWorkload>(); |
| 999 | } |
| 1000 | |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 1001 | template <typename QLstmWorkloadType> |
| 1002 | static void NeonCreateQLstmWorkloadTest() |
| 1003 | { |
| 1004 | Graph graph; |
| 1005 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 1006 | |
| 1007 | auto workload = CreateQLstmWorkloadTest<QLstmWorkloadType>(factory, graph); |
| 1008 | QLstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 1009 | |
| 1010 | IAclTensorHandle* inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 1011 | BOOST_TEST((inputHandle->GetShape() == TensorShape({2, 4}))); |
| 1012 | BOOST_TEST((inputHandle->GetDataType() == arm_compute::DataType::QASYMM8_SIGNED)); |
| 1013 | |
| 1014 | IAclTensorHandle* cellStateOutHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 1015 | BOOST_TEST((cellStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 1016 | BOOST_TEST((cellStateOutHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 1017 | |
| 1018 | IAclTensorHandle* outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[2]); |
| 1019 | BOOST_TEST((outputHandle->GetShape() == TensorShape({2, 4}))); |
| 1020 | BOOST_TEST((outputHandle->GetDataType() == arm_compute::DataType::QASYMM8_SIGNED)); |
| 1021 | } |
| 1022 | |
| 1023 | BOOST_AUTO_TEST_CASE(CreateQLstmWorkloadTest) |
| 1024 | { |
| 1025 | NeonCreateQLstmWorkloadTest<NeonQLstmWorkload>(); |
| 1026 | } |
| 1027 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1028 | BOOST_AUTO_TEST_SUITE_END() |