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> |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 9 | #include <armnn/utility/Assert.hpp> |
| 10 | #include <armnn/utility/IgnoreUnused.hpp> |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 11 | #include <armnn/utility/PolymorphicDowncast.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 12 | #include <backendsCommon/MemCopyWorkload.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 <aclCommon/test/CreateWorkloadClNeon.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 15 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 16 | #include <neon/NeonWorkloadFactory.hpp> |
| 17 | #include <neon/NeonTensorHandle.hpp> |
| 18 | #include <neon/workloads/NeonWorkloadUtils.hpp> |
| 19 | #include <neon/workloads/NeonWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 20 | |
| 21 | BOOST_AUTO_TEST_SUITE(CreateWorkloadNeon) |
| 22 | |
| 23 | namespace |
| 24 | { |
| 25 | |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 26 | boost::test_tools::predicate_result CompareIAclTensorHandleShape(IAclTensorHandle* tensorHandle, |
| 27 | std::initializer_list<unsigned int> expectedDimensions) |
| 28 | { |
| 29 | return CompareTensorHandleShape<IAclTensorHandle>(tensorHandle, expectedDimensions); |
| 30 | } |
| 31 | |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 32 | bool TestNeonTensorHandleInfo(armnn::IAclTensorHandle* handle, const armnn::TensorInfo& expectedInfo) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 33 | { |
| 34 | using namespace armnn::armcomputetensorutils; |
| 35 | |
| 36 | const arm_compute::ITensorInfo* handleInfo = handle->GetTensor().info(); |
| 37 | const arm_compute::TensorInfo expectedAclInfo = BuildArmComputeTensorInfo(expectedInfo); |
| 38 | |
| 39 | if (handleInfo->data_type() != expectedAclInfo.data_type()) |
| 40 | { |
| 41 | return false; |
| 42 | } |
| 43 | |
| 44 | if (handleInfo->num_dimensions() != expectedAclInfo.num_dimensions()) |
| 45 | { |
| 46 | return false; |
| 47 | } |
| 48 | |
| 49 | if (handleInfo->quantization_info() != expectedAclInfo.quantization_info()) |
| 50 | { |
| 51 | return false; |
| 52 | } |
| 53 | |
| 54 | for (std::size_t d = 0; d < expectedAclInfo.num_dimensions(); ++d) |
| 55 | { |
| 56 | if (handleInfo->dimension(d) != expectedAclInfo.dimension(d)) |
| 57 | { |
| 58 | return false; |
| 59 | } |
| 60 | } |
| 61 | |
| 62 | return true; |
| 63 | } |
| 64 | |
| 65 | } // namespace |
| 66 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 67 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 68 | static void NeonCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 69 | { |
| 70 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 71 | NeonWorkloadFactory factory = |
| 72 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 73 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 74 | auto workload = CreateActivationWorkloadTest<NeonActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 75 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 77 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 78 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 79 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({1, 1}, DataType))); |
| 81 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 82 | } |
| 83 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 84 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 85 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 86 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 87 | NeonCreateActivationWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 88 | } |
| 89 | #endif |
| 90 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 91 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 92 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 93 | NeonCreateActivationWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 94 | } |
| 95 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 96 | template <typename WorkloadType, |
| 97 | typename DescriptorType, |
| 98 | typename LayerType, |
| 99 | armnn::DataType DataType> |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 100 | static void NeonCreateElementwiseWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 101 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 102 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 103 | NeonWorkloadFactory factory = |
| 104 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 105 | |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 106 | auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 107 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 108 | DescriptorType queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 109 | auto inputHandle1 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 110 | auto inputHandle2 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 111 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 112 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({2, 3}, DataType))); |
| 113 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle2, TensorInfo({2, 3}, DataType))); |
| 114 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 115 | } |
| 116 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 117 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 118 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 119 | { |
Matthew Bentham | 955258d | 2018-12-10 10:48:52 +0000 | [diff] [blame] | 120 | NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 121 | AdditionQueueDescriptor, |
| 122 | AdditionLayer, |
| 123 | DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 124 | } |
| 125 | #endif |
| 126 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 127 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 128 | { |
Matthew Bentham | 955258d | 2018-12-10 10:48:52 +0000 | [diff] [blame] | 129 | NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 130 | AdditionQueueDescriptor, |
| 131 | AdditionLayer, |
| 132 | DataType::Float32>(); |
| 133 | } |
| 134 | |
| 135 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 136 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 137 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 138 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 139 | SubtractionQueueDescriptor, |
| 140 | SubtractionLayer, |
| 141 | DataType::Float16>(); |
| 142 | } |
| 143 | #endif |
| 144 | |
| 145 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 146 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 147 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 148 | SubtractionQueueDescriptor, |
| 149 | SubtractionLayer, |
| 150 | DataType::Float32>(); |
| 151 | } |
| 152 | |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 153 | BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) |
| 154 | { |
| 155 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
| 156 | SubtractionQueueDescriptor, |
| 157 | SubtractionLayer, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 158 | DataType::QAsymmU8>(); |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 159 | } |
| 160 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 161 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 162 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16Workload) |
| 163 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 164 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 165 | MultiplicationQueueDescriptor, |
| 166 | MultiplicationLayer, |
| 167 | DataType::Float16>(); |
| 168 | } |
| 169 | #endif |
| 170 | |
| 171 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 172 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 173 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 174 | MultiplicationQueueDescriptor, |
| 175 | MultiplicationLayer, |
| 176 | DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 177 | } |
| 178 | |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 179 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) |
| 180 | { |
| 181 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
| 182 | MultiplicationQueueDescriptor, |
| 183 | MultiplicationLayer, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 184 | DataType::QAsymmU8>(); |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame] | 185 | } |
| 186 | |
Pablo Tello | e61f071 | 2020-01-23 10:37:17 +0000 | [diff] [blame] | 187 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkloadTest) |
| 188 | { |
| 189 | NeonCreateElementwiseWorkloadTest<NeonDivisionWorkload, |
| 190 | DivisionQueueDescriptor, |
| 191 | DivisionLayer, |
| 192 | armnn::DataType::Float32>(); |
| 193 | } |
| 194 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 195 | template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 196 | static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 197 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 198 | Graph graph; |
| 199 | NeonWorkloadFactory factory = |
| 200 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 201 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 202 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 203 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 204 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 205 | // 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] | 206 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 207 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 208 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 209 | |
| 210 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 211 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 212 | |
| 213 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 214 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 215 | } |
| 216 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 217 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 218 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 219 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 220 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float16>(DataLayout::NCHW); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 221 | } |
| 222 | |
| 223 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NhwcWorkload) |
| 224 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 225 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 226 | } |
| 227 | #endif |
| 228 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 229 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 230 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 231 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float32>(DataLayout::NCHW); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 232 | } |
| 233 | |
| 234 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 235 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 236 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float32>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 237 | } |
| 238 | |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 239 | template <typename armnn::DataType DataType> |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 240 | static void NeonCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 241 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 242 | Graph graph; |
| 243 | NeonWorkloadFactory factory = |
| 244 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 245 | |
| 246 | auto workload = CreateConvolution2dWorkloadTest<NeonConvolution2dWorkload, DataType>(factory, graph, dataLayout); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 247 | |
| 248 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 8, 16} : TensorShape{2, 8, 16, 3}; |
| 249 | 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] | 250 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 251 | // 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] | 252 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 253 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 254 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 255 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 256 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 257 | } |
| 258 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 259 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 260 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 261 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 262 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 263 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 264 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 265 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 266 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 267 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 268 | } |
| 269 | |
| 270 | #endif |
| 271 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 272 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 273 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 274 | } |
| 275 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 276 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 277 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 278 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 279 | } |
| 280 | |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 281 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFastMathEnabledWorkload) |
| 282 | { |
| 283 | Graph graph; |
| 284 | using ModelOptions = std::vector<BackendOptions>; |
| 285 | ModelOptions modelOptions = {}; |
| 286 | BackendOptions cpuAcc("CpuAcc", |
| 287 | { |
| 288 | { "FastMathEnabled", true } |
| 289 | }); |
| 290 | modelOptions.push_back(cpuAcc); |
| 291 | NeonWorkloadFactory factory = |
| 292 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager(), modelOptions); |
| 293 | |
| 294 | auto workload = |
Sadik Armagan | 283a8b4 | 2020-09-22 14:35:19 +0100 | [diff] [blame] | 295 | CreateConvolution2dWorkloadFastMathTest<NeonConvolution2dWorkload, armnn::DataType::Float32>(factory, |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 296 | graph, |
| 297 | DataLayout::NCHW, |
| 298 | modelOptions); |
| 299 | |
| 300 | ARMNN_ASSERT(workload != nullptr); |
| 301 | auto conv2dWorkload = PolymorphicDowncast<NeonConvolution2dWorkload*>(workload.get()); |
| 302 | IgnoreUnused(conv2dWorkload); |
| 303 | ARMNN_ASSERT(conv2dWorkload != nullptr); |
Sadik Armagan | 283a8b4 | 2020-09-22 14:35:19 +0100 | [diff] [blame] | 304 | ARMNN_ASSERT(conv2dWorkload->GetConvolutionMethod() == arm_compute::ConvolutionMethod::WINOGRAD); |
Sadik Armagan | 04a7297 | 2020-09-14 15:44:18 +0100 | [diff] [blame] | 305 | } |
| 306 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 307 | template <typename armnn::DataType DataType> |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 308 | static void NeonCreateDepthWiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 309 | { |
| 310 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 311 | NeonWorkloadFactory factory = |
| 312 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 313 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 314 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<NeonDepthwiseConvolutionWorkload, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 315 | DataType>(factory, graph, dataLayout); |
| 316 | |
| 317 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 318 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 319 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 320 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 321 | |
Mike Kelly | db48288 | 2019-06-14 12:35:24 +0100 | [diff] [blame] | 322 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 323 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 324 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 325 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 326 | |
| 327 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 328 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 329 | } |
| 330 | |
| 331 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat32NhwcWorkload) |
| 332 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 333 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 334 | } |
| 335 | |
| 336 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 337 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat16NhwcWorkload) |
| 338 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 339 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 340 | } |
| 341 | #endif |
| 342 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 343 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 344 | static void NeonCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 345 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 346 | Graph graph; |
| 347 | NeonWorkloadFactory factory = |
| 348 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 349 | |
| 350 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 351 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 352 | // 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] | 353 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 354 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 355 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Kevin May | be7e35c | 2020-04-29 17:05:05 +0100 | [diff] [blame] | 356 | |
| 357 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 358 | float inputsQScale = DataType == armnn::DataType::QAsymmU8 ? 1.0f : 0.0; |
| 359 | float outputQScale = DataType == armnn::DataType::QAsymmU8 ? 2.0f : 0.0; |
| 360 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 1, 4, 5}, DataType, inputsQScale))); |
| 361 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 7}, DataType, outputQScale))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 362 | } |
| 363 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 364 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 365 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16Workload) |
| 366 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 367 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 368 | } |
| 369 | #endif |
| 370 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 371 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 372 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 373 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 374 | } |
| 375 | |
Kevin May | be7e35c | 2020-04-29 17:05:05 +0100 | [diff] [blame] | 376 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedQAsymmU8Workload) |
| 377 | { |
| 378 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::QAsymmU8>(); |
| 379 | } |
| 380 | |
| 381 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedQAsymmS8Workload) |
| 382 | { |
| 383 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::QAsymmS8>(); |
| 384 | } |
| 385 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 386 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 387 | static void NeonCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 388 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 389 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 390 | NeonWorkloadFactory factory = |
| 391 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 392 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 393 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 394 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 395 | // 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] | 396 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 397 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 398 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 399 | |
| 400 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 401 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 402 | |
| 403 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 404 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 405 | } |
| 406 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 407 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 408 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 409 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 410 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 411 | } |
| 412 | |
| 413 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 414 | { |
| 415 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 416 | } |
| 417 | #endif |
| 418 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 419 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 420 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 421 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 422 | } |
| 423 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 424 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload) |
| 425 | { |
| 426 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 427 | } |
| 428 | |
| 429 | |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 430 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 431 | static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 432 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 433 | Graph graph; |
| 434 | NeonWorkloadFactory factory = |
| 435 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 436 | |
| 437 | auto workload = CreatePooling2dWorkloadTest<NeonPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 438 | |
| 439 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2}; |
| 440 | 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] | 441 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | // 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] | 443 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 444 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 445 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 446 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 447 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 448 | } |
| 449 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 450 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 451 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 452 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 453 | NeonCreatePooling2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 454 | } |
| 455 | #endif |
| 456 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 457 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 458 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 459 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 460 | } |
| 461 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 462 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 463 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 464 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 465 | } |
| 466 | |
| 467 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload) |
| 468 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 469 | NeonCreatePooling2dWorkloadTest<DataType::QAsymmU8>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 470 | } |
| 471 | |
| 472 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 473 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 474 | NeonCreatePooling2dWorkloadTest<DataType::QAsymmU8>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 475 | } |
| 476 | |
Nikhil Raj | 9b46148 | 2019-07-03 15:58:31 +0100 | [diff] [blame] | 477 | static void NeonCreatePreluWorkloadTest(const armnn::TensorShape& inputShape, |
| 478 | const armnn::TensorShape& alphaShape, |
| 479 | const armnn::TensorShape& outputShape, |
| 480 | armnn::DataType dataType) |
| 481 | { |
| 482 | Graph graph; |
| 483 | NeonWorkloadFactory factory = |
| 484 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 485 | |
| 486 | auto workload = CreatePreluWorkloadTest<NeonPreluWorkload>(factory, |
| 487 | graph, |
| 488 | inputShape, |
| 489 | alphaShape, |
| 490 | outputShape, |
| 491 | dataType); |
| 492 | |
| 493 | // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). |
| 494 | PreluQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 495 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 496 | auto alphaHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 497 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | 9b46148 | 2019-07-03 15:58:31 +0100 | [diff] [blame] | 498 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, dataType))); |
| 499 | BOOST_TEST(TestNeonTensorHandleInfo(alphaHandle, TensorInfo(alphaShape, dataType))); |
| 500 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, dataType))); |
| 501 | } |
| 502 | |
| 503 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 504 | BOOST_AUTO_TEST_CASE(CreatePreluFloat16Workload) |
| 505 | { |
| 506 | NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float16); |
| 507 | } |
| 508 | #endif |
| 509 | |
| 510 | BOOST_AUTO_TEST_CASE(CreatePreluFloatWorkload) |
| 511 | { |
| 512 | NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float32); |
| 513 | } |
| 514 | |
| 515 | BOOST_AUTO_TEST_CASE(CreatePreluUint8Workload) |
| 516 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 517 | 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] | 518 | } |
| 519 | |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 520 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 521 | static void NeonCreateReshapeWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 522 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 523 | Graph graph; |
| 524 | NeonWorkloadFactory factory = |
| 525 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 526 | |
| 527 | auto workload = CreateReshapeWorkloadTest<NeonReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 528 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 529 | // 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] | 530 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 531 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 532 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 533 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 534 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 4}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 535 | } |
| 536 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 537 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 538 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 539 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 540 | NeonCreateReshapeWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 541 | } |
| 542 | #endif |
| 543 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 544 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 545 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 546 | NeonCreateReshapeWorkloadTest<DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 547 | } |
| 548 | |
| 549 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 550 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 551 | NeonCreateReshapeWorkloadTest<DataType::QAsymmU8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 552 | } |
| 553 | |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 554 | template <typename ResizeWorkloadType, armnn::DataType DataType> |
| 555 | static void NeonCreateResizeWorkloadTest(DataLayout dataLayout) |
| 556 | { |
| 557 | Graph graph; |
| 558 | NeonWorkloadFactory factory = |
| 559 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 560 | auto workload = CreateResizeBilinearWorkloadTest<ResizeWorkloadType, DataType>(factory, graph, dataLayout); |
| 561 | |
| 562 | auto queueDescriptor = workload->GetData(); |
| 563 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 564 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 565 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 566 | |
| 567 | switch (dataLayout) |
| 568 | { |
| 569 | case DataLayout::NHWC: |
| 570 | BOOST_TEST(CompareIAclTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); |
| 571 | BOOST_TEST(CompareIAclTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); |
| 572 | break; |
| 573 | case DataLayout::NCHW: |
| 574 | default: |
| 575 | BOOST_TEST(CompareIAclTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); |
| 576 | BOOST_TEST(CompareIAclTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); |
| 577 | } |
| 578 | } |
| 579 | |
| 580 | BOOST_AUTO_TEST_CASE(CreateResizeFloat32NchwWorkload) |
| 581 | { |
| 582 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 583 | } |
| 584 | |
| 585 | BOOST_AUTO_TEST_CASE(CreateResizeUint8NchwWorkload) |
| 586 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 587 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::QAsymmU8>(DataLayout::NCHW); |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 588 | } |
| 589 | |
| 590 | BOOST_AUTO_TEST_CASE(CreateResizeFloat32NhwcWorkload) |
| 591 | { |
| 592 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 593 | } |
| 594 | |
| 595 | BOOST_AUTO_TEST_CASE(CreateResizeUint8NhwcWorkload) |
| 596 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 597 | NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::QAsymmU8>(DataLayout::NHWC); |
Ellen Norris-Thompson | 37e6868 | 2019-07-15 14:23:30 +0100 | [diff] [blame] | 598 | } |
| 599 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 600 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 601 | static void NeonCreateSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 602 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 603 | Graph graph; |
| 604 | NeonWorkloadFactory factory = |
| 605 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 606 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 607 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 608 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 609 | // 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] | 610 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 611 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 612 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 613 | armnn::TensorInfo tensorInfo({4, 1}, DataType); |
| 614 | if (DataType == armnn::DataType::QAsymmU8) |
| 615 | { |
| 616 | tensorInfo.SetQuantizationOffset(0); |
| 617 | tensorInfo.SetQuantizationScale(1.f / 256); |
| 618 | } |
| 619 | else if (DataType == armnn::DataType::QAsymmS8) |
| 620 | { |
| 621 | tensorInfo.SetQuantizationOffset(-128); |
| 622 | tensorInfo.SetQuantizationScale(1.f / 256); |
| 623 | } |
| 624 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, tensorInfo)); |
| 625 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, tensorInfo)); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 626 | } |
| 627 | |
| 628 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 629 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16Workload) |
| 630 | { |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 631 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 632 | } |
| 633 | #endif |
| 634 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 635 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 636 | { |
Sadik Armagan | be88a57 | 2020-04-30 11:39:37 +0100 | [diff] [blame] | 637 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::Float32>(); |
| 638 | } |
| 639 | |
| 640 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQAsymmU8Workload) |
| 641 | { |
| 642 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::QAsymmU8>(); |
| 643 | } |
| 644 | |
| 645 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQAsymmS8Workload) |
| 646 | { |
| 647 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxWorkload, DataType::QAsymmS8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 648 | } |
| 649 | |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 650 | template <typename SpaceToDepthWorkloadType, typename armnn::DataType DataType> |
| 651 | static void NeonSpaceToDepthWorkloadTest() |
| 652 | { |
| 653 | Graph graph; |
| 654 | NeonWorkloadFactory factory = |
| 655 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 656 | |
| 657 | auto workload = CreateSpaceToDepthWorkloadTest<SpaceToDepthWorkloadType, DataType>(factory, graph); |
| 658 | |
| 659 | SpaceToDepthQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 660 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 661 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 662 | |
| 663 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({ 1, 2, 2, 1 }, DataType))); |
| 664 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({ 1, 1, 1, 4 }, DataType))); |
| 665 | } |
| 666 | |
| 667 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat32Workload) |
| 668 | { |
| 669 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::Float32>(); |
| 670 | } |
| 671 | |
| 672 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthFloat16Workload) |
| 673 | { |
| 674 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::Float16>(); |
| 675 | } |
| 676 | |
| 677 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthQAsymm8Workload) |
| 678 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 679 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::QAsymmU8>(); |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 680 | } |
| 681 | |
| 682 | BOOST_AUTO_TEST_CASE(CreateSpaceToDepthQSymm16Workload) |
| 683 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 684 | NeonSpaceToDepthWorkloadTest<NeonSpaceToDepthWorkload, armnn::DataType::QSymmS16>(); |
Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 685 | } |
| 686 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 687 | BOOST_AUTO_TEST_CASE(CreateSplitterWorkload) |
| 688 | { |
| 689 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 690 | NeonWorkloadFactory factory = |
| 691 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 692 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 693 | auto workload = CreateSplitterWorkloadTest<NeonSplitterWorkload, DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 694 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 695 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 696 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 697 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 698 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({5, 7, 7}, DataType::Float32))); |
| 699 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 700 | auto outputHandle0 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 701 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle0, TensorInfo({1, 7, 7}, DataType::Float32))); |
| 702 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 703 | auto outputHandle1 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 704 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle1, TensorInfo({2, 7, 7}, DataType::Float32))); |
| 705 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 706 | auto outputHandle2 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 707 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle2, TensorInfo({2, 7, 7}, DataType::Float32))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 708 | } |
| 709 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 710 | BOOST_AUTO_TEST_CASE(CreateSplitterConcat) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 711 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 712 | // 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] | 713 | // should be lined to which input of the concat layer. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 714 | // We tested that is is possible to specify 0th output |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 715 | // of the splitter to be the 1st input to the concat, and the 1st output of the splitter to be 0th input |
| 716 | // of the concat. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 717 | |
| 718 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 719 | NeonWorkloadFactory factory = |
| 720 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 721 | |
| 722 | auto workloads = |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 723 | CreateSplitterConcatWorkloadTest<NeonSplitterWorkload, NeonConcatWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 724 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 725 | |
| 726 | auto wlSplitter = std::move(workloads.first); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 727 | auto wlConcat = std::move(workloads.second); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 728 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 729 | //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] | 730 | armnn::IAclTensorHandle* sOut0 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 731 | armnn::IAclTensorHandle* sOut1 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 732 | armnn::IAclTensorHandle* mIn0 = dynamic_cast<armnn::IAclTensorHandle*>(wlConcat->GetData().m_Inputs[0]); |
| 733 | armnn::IAclTensorHandle* mIn1 = dynamic_cast<armnn::IAclTensorHandle*>(wlConcat->GetData().m_Inputs[1]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 734 | |
| 735 | BOOST_TEST(sOut0); |
| 736 | BOOST_TEST(sOut1); |
| 737 | BOOST_TEST(mIn0); |
| 738 | BOOST_TEST(mIn1); |
| 739 | |
| 740 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 741 | |
| 742 | BOOST_TEST(validDataPointers); |
| 743 | } |
| 744 | |
| 745 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 746 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 747 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 748 | // 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] | 749 | |
| 750 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 751 | NeonWorkloadFactory factory = |
| 752 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 753 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 754 | std::unique_ptr<NeonSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 755 | std::unique_ptr<NeonActivationWorkload> wlActiv0_0; |
| 756 | std::unique_ptr<NeonActivationWorkload> wlActiv0_1; |
| 757 | std::unique_ptr<NeonActivationWorkload> wlActiv1_0; |
| 758 | std::unique_ptr<NeonActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 759 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 760 | CreateSplitterMultipleInputsOneOutputWorkloadTest<NeonSplitterWorkload, |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 761 | NeonActivationWorkload, DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
| 762 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 763 | |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 764 | armnn::IAclTensorHandle* sOut0 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 765 | armnn::IAclTensorHandle* sOut1 = dynamic_cast<armnn::IAclTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 766 | armnn::IAclTensorHandle* activ0_0Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 767 | armnn::IAclTensorHandle* activ0_1Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 768 | armnn::IAclTensorHandle* activ1_0Im = dynamic_cast<armnn::IAclTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 769 | 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] | 770 | |
| 771 | |
| 772 | BOOST_TEST(sOut0); |
| 773 | BOOST_TEST(sOut1); |
| 774 | BOOST_TEST(activ0_0Im); |
| 775 | BOOST_TEST(activ0_1Im); |
| 776 | BOOST_TEST(activ1_0Im); |
| 777 | BOOST_TEST(activ1_1Im); |
| 778 | |
| 779 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 780 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 781 | |
| 782 | BOOST_TEST(validDataPointers); |
| 783 | } |
| 784 | |
Matteo Martincigh | db16dd3 | 2019-08-27 16:41:11 +0100 | [diff] [blame] | 785 | #if defined(ARMNNREF_ENABLED) |
Matteo Martincigh | e67edb2 | 2019-08-14 14:05:46 +0100 | [diff] [blame] | 786 | |
| 787 | // This test unit needs the reference backend, it's not available if the reference backend is not built |
| 788 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 789 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) |
| 790 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 791 | NeonWorkloadFactory factory = |
| 792 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
Derek Lamberti | c81855f | 2019-06-13 17:34:19 +0100 | [diff] [blame] | 793 | CreateMemCopyWorkloads<IAclTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 794 | } |
| 795 | |
Matteo Martincigh | e67edb2 | 2019-08-14 14:05:46 +0100 | [diff] [blame] | 796 | #endif |
| 797 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 798 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 799 | static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) |
| 800 | { |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 801 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 802 | NeonWorkloadFactory factory = |
| 803 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 804 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 805 | auto workload = |
| 806 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 807 | |
| 808 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 809 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 810 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 811 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 812 | |
| 813 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? |
| 814 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 815 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? |
| 816 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 817 | |
| 818 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 819 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 820 | } |
| 821 | |
| 822 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 823 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 824 | { |
| 825 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 826 | } |
| 827 | |
| 828 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 829 | { |
| 830 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 831 | } |
| 832 | #endif |
| 833 | |
| 834 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) |
| 835 | { |
| 836 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 837 | } |
| 838 | |
| 839 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) |
| 840 | { |
| 841 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 842 | } |
| 843 | |
Keith Davis | 69e653f | 2020-07-02 11:49:26 +0100 | [diff] [blame] | 844 | template <typename LogSoftmaxWorkloadType, typename armnn::DataType DataType> |
| 845 | static void NeonCreateLogSoftmaxWorkloadTest() |
| 846 | { |
| 847 | Graph graph; |
| 848 | NeonWorkloadFactory factory = |
| 849 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 850 | |
| 851 | auto workload = CreateLogSoftmaxWorkloadTest<LogSoftmaxWorkloadType, DataType>(factory, graph); |
| 852 | |
| 853 | // Checks that outputs and inputs are as we expect them (see definition of CreateLogSoftmaxWorkloadTest). |
| 854 | LogSoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
| 855 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 856 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 857 | armnn::TensorInfo tensorInfo({4, 1}, DataType); |
| 858 | |
| 859 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, tensorInfo)); |
| 860 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, tensorInfo)); |
| 861 | } |
| 862 | |
| 863 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 864 | BOOST_AUTO_TEST_CASE(CreateLogSoftmaxFloat16Workload) |
| 865 | { |
| 866 | NeonCreateLogSoftmaxWorkloadTest<NeonLogSoftmaxWorkload, DataType::Float16>(); |
| 867 | } |
| 868 | #endif |
| 869 | |
| 870 | BOOST_AUTO_TEST_CASE(CreateLogSoftmaxFloatWorkload) |
| 871 | { |
| 872 | NeonCreateLogSoftmaxWorkloadTest<NeonLogSoftmaxWorkload, DataType::Float32>(); |
| 873 | } |
| 874 | |
Jan Eilers | ad5293a | 2019-07-08 09:57:55 +0100 | [diff] [blame] | 875 | template <typename LstmWorkloadType> |
| 876 | static void NeonCreateLstmWorkloadTest() |
| 877 | { |
| 878 | Graph graph; |
| 879 | NeonWorkloadFactory factory = |
| 880 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 881 | |
| 882 | auto workload = CreateLstmWorkloadTest<LstmWorkloadType>(factory, graph); |
| 883 | |
| 884 | LstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 885 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 886 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 887 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
Jan Eilers | ad5293a | 2019-07-08 09:57:55 +0100 | [diff] [blame] | 888 | |
| 889 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({ 2, 2 }, DataType::Float32))); |
| 890 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({ 2, 4 }, DataType::Float32))); |
| 891 | } |
| 892 | |
| 893 | BOOST_AUTO_TEST_CASE(CreateLSTMWorkloadFloatWorkload) |
| 894 | { |
| 895 | NeonCreateLstmWorkloadTest<NeonLstmFloatWorkload>(); |
| 896 | } |
| 897 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 898 | template <typename ConcatWorkloadType, armnn::DataType DataType> |
| 899 | static void NeonCreateConcatWorkloadTest(std::initializer_list<unsigned int> outputShape, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 900 | unsigned int concatAxis) |
| 901 | { |
| 902 | Graph graph; |
| 903 | NeonWorkloadFactory factory = |
| 904 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 905 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 906 | auto workload = CreateConcatWorkloadTest<ConcatWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 907 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 908 | ConcatQueueDescriptor queueDescriptor = workload->GetData(); |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 909 | auto inputHandle0 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 910 | auto inputHandle1 = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 911 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 912 | |
| 913 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle0, TensorInfo({ 2, 3, 2, 5 }, DataType))); |
| 914 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({ 2, 3, 2, 5 }, DataType))); |
| 915 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 916 | } |
| 917 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 918 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 919 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 920 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 921 | } |
| 922 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 923 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 924 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 925 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 926 | } |
| 927 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 928 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 929 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 930 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 931 | } |
| 932 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 933 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 934 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 935 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::QAsymmU8>({ 4, 3, 2, 5 }, 0); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 936 | } |
| 937 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 938 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 939 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 940 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 6, 2, 5 }, 1); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 941 | } |
| 942 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 943 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Uint8Workload) |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 944 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 945 | NeonCreateConcatWorkloadTest<NeonConcatWorkload, armnn::DataType::QAsymmU8>({ 2, 3, 2, 10 }, 3); |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 946 | } |
| 947 | |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 948 | template <armnn::DataType DataType> |
| 949 | static void NeonCreateStackWorkloadTest(const std::initializer_list<unsigned int>& inputShape, |
| 950 | const std::initializer_list<unsigned int>& outputShape, |
| 951 | unsigned int axis, |
| 952 | unsigned int numInputs) |
| 953 | { |
| 954 | armnn::Graph graph; |
| 955 | NeonWorkloadFactory factory = |
| 956 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 957 | |
| 958 | auto workload = CreateStackWorkloadTest<NeonStackWorkload, DataType>(factory, |
| 959 | graph, |
| 960 | TensorShape(inputShape), |
| 961 | TensorShape(outputShape), |
| 962 | axis, |
| 963 | numInputs); |
| 964 | |
| 965 | // Check inputs and output are as expected |
| 966 | StackQueueDescriptor queueDescriptor = workload->GetData(); |
| 967 | for (unsigned int i = 0; i < numInputs; ++i) |
| 968 | { |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 969 | auto inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[i]); |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 970 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 971 | } |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 972 | auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 973 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 974 | } |
| 975 | |
| 976 | BOOST_AUTO_TEST_CASE(CreateStackFloat32Workload) |
| 977 | { |
| 978 | NeonCreateStackWorkloadTest<armnn::DataType::Float32>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 979 | } |
| 980 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 981 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 982 | BOOST_AUTO_TEST_CASE(CreateStackFloat16Workload) |
| 983 | { |
| 984 | NeonCreateStackWorkloadTest<armnn::DataType::Float16>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); |
| 985 | } |
| 986 | #endif |
| 987 | |
Matthew Jackson | 87f65ea | 2019-08-01 10:01:34 +0100 | [diff] [blame] | 988 | BOOST_AUTO_TEST_CASE(CreateStackUint8Workload) |
| 989 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 990 | 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] | 991 | } |
| 992 | |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 993 | template <typename QuantizedLstmWorkloadType> |
| 994 | static void NeonCreateQuantizedLstmWorkloadTest() |
| 995 | { |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 996 | Graph graph; |
| 997 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 998 | |
| 999 | auto workload = CreateQuantizedLstmWorkloadTest<QuantizedLstmWorkloadType>(factory, graph); |
| 1000 | |
| 1001 | QuantizedLstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 1002 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 1003 | IAclTensorHandle* inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 1004 | BOOST_TEST((inputHandle->GetShape() == TensorShape({2, 2}))); |
| 1005 | BOOST_TEST((inputHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 1006 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 1007 | IAclTensorHandle* cellStateInHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 1008 | BOOST_TEST((cellStateInHandle->GetShape() == TensorShape({2, 4}))); |
| 1009 | BOOST_TEST((cellStateInHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 1010 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 1011 | IAclTensorHandle* outputStateInHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[2]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 1012 | BOOST_TEST((outputStateInHandle->GetShape() == TensorShape({2, 4}))); |
| 1013 | BOOST_TEST((outputStateInHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 1014 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 1015 | IAclTensorHandle* cellStateOutHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 1016 | BOOST_TEST((cellStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 1017 | BOOST_TEST((cellStateOutHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 1018 | |
Jan Eilers | bb446e5 | 2020-04-02 13:56:54 +0100 | [diff] [blame] | 1019 | IAclTensorHandle* outputStateOutHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
Francis Murtagh | 4fc3c48 | 2019-08-02 13:20:54 +0100 | [diff] [blame] | 1020 | BOOST_TEST((outputStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 1021 | BOOST_TEST((outputStateOutHandle->GetDataType() == arm_compute::DataType::QASYMM8)); |
| 1022 | } |
| 1023 | |
| 1024 | BOOST_AUTO_TEST_CASE(CreateQuantizedLstmWorkload) |
| 1025 | { |
| 1026 | NeonCreateQuantizedLstmWorkloadTest<NeonQuantizedLstmWorkload>(); |
| 1027 | } |
| 1028 | |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 1029 | template <typename QLstmWorkloadType> |
| 1030 | static void NeonCreateQLstmWorkloadTest() |
| 1031 | { |
| 1032 | Graph graph; |
| 1033 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 1034 | |
| 1035 | auto workload = CreateQLstmWorkloadTest<QLstmWorkloadType>(factory, graph); |
| 1036 | QLstmQueueDescriptor queueDescriptor = workload->GetData(); |
| 1037 | |
| 1038 | IAclTensorHandle* inputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 1039 | BOOST_TEST((inputHandle->GetShape() == TensorShape({2, 4}))); |
| 1040 | BOOST_TEST((inputHandle->GetDataType() == arm_compute::DataType::QASYMM8_SIGNED)); |
| 1041 | |
| 1042 | IAclTensorHandle* cellStateOutHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[1]); |
| 1043 | BOOST_TEST((cellStateOutHandle->GetShape() == TensorShape({2, 4}))); |
| 1044 | BOOST_TEST((cellStateOutHandle->GetDataType() == arm_compute::DataType::QSYMM16)); |
| 1045 | |
| 1046 | IAclTensorHandle* outputHandle = PolymorphicDowncast<IAclTensorHandle*>(queueDescriptor.m_Outputs[2]); |
| 1047 | BOOST_TEST((outputHandle->GetShape() == TensorShape({2, 4}))); |
| 1048 | BOOST_TEST((outputHandle->GetDataType() == arm_compute::DataType::QASYMM8_SIGNED)); |
| 1049 | } |
| 1050 | |
| 1051 | BOOST_AUTO_TEST_CASE(CreateQLstmWorkloadTest) |
| 1052 | { |
| 1053 | NeonCreateQLstmWorkloadTest<NeonQLstmWorkload>(); |
| 1054 | } |
| 1055 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1056 | BOOST_AUTO_TEST_SUITE_END() |