telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 5 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 6 | #include "NeonWorkloadFactoryHelper.hpp" |
| 7 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 8 | #include <backendsCommon/MemCopyWorkload.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 9 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 10 | #include <aclCommon/test/CreateWorkloadClNeon.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 <neon/NeonWorkloadFactory.hpp> |
| 13 | #include <neon/NeonTensorHandle.hpp> |
| 14 | #include <neon/workloads/NeonWorkloadUtils.hpp> |
| 15 | #include <neon/workloads/NeonWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 16 | |
| 17 | BOOST_AUTO_TEST_SUITE(CreateWorkloadNeon) |
| 18 | |
| 19 | namespace |
| 20 | { |
| 21 | |
| 22 | bool TestNeonTensorHandleInfo(armnn::INeonTensorHandle* handle, const armnn::TensorInfo& expectedInfo) |
| 23 | { |
| 24 | using namespace armnn::armcomputetensorutils; |
| 25 | |
| 26 | const arm_compute::ITensorInfo* handleInfo = handle->GetTensor().info(); |
| 27 | const arm_compute::TensorInfo expectedAclInfo = BuildArmComputeTensorInfo(expectedInfo); |
| 28 | |
| 29 | if (handleInfo->data_type() != expectedAclInfo.data_type()) |
| 30 | { |
| 31 | return false; |
| 32 | } |
| 33 | |
| 34 | if (handleInfo->num_dimensions() != expectedAclInfo.num_dimensions()) |
| 35 | { |
| 36 | return false; |
| 37 | } |
| 38 | |
| 39 | if (handleInfo->quantization_info() != expectedAclInfo.quantization_info()) |
| 40 | { |
| 41 | return false; |
| 42 | } |
| 43 | |
| 44 | for (std::size_t d = 0; d < expectedAclInfo.num_dimensions(); ++d) |
| 45 | { |
| 46 | if (handleInfo->dimension(d) != expectedAclInfo.dimension(d)) |
| 47 | { |
| 48 | return false; |
| 49 | } |
| 50 | } |
| 51 | |
| 52 | return true; |
| 53 | } |
| 54 | |
| 55 | } // namespace |
| 56 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 57 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 58 | static void NeonCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | { |
| 60 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 61 | NeonWorkloadFactory factory = |
| 62 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 63 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 64 | auto workload = CreateActivationWorkloadTest<NeonActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 65 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 66 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 67 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 68 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 69 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 70 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({1, 1}, DataType))); |
| 71 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 72 | } |
| 73 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 74 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 75 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 76 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 77 | NeonCreateActivationWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 78 | } |
| 79 | #endif |
| 80 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 81 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 82 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 83 | NeonCreateActivationWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 84 | } |
| 85 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 86 | template <typename WorkloadType, |
| 87 | typename DescriptorType, |
| 88 | typename LayerType, |
| 89 | armnn::DataType DataType> |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 90 | static void NeonCreateElementwiseWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 91 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 92 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 93 | NeonWorkloadFactory factory = |
| 94 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 95 | |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 96 | auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 97 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 98 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 99 | auto inputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 100 | auto inputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 101 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 102 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({2, 3}, DataType))); |
| 103 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle2, TensorInfo({2, 3}, DataType))); |
| 104 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 105 | } |
| 106 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 107 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 108 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 109 | { |
Matthew Bentham | 955258d | 2018-12-10 10:48:52 +0000 | [diff] [blame] | 110 | NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 111 | AdditionQueueDescriptor, |
| 112 | AdditionLayer, |
| 113 | DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 114 | } |
| 115 | #endif |
| 116 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 117 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 118 | { |
Matthew Bentham | 955258d | 2018-12-10 10:48:52 +0000 | [diff] [blame] | 119 | NeonCreateElementwiseWorkloadTest<NeonAdditionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 120 | AdditionQueueDescriptor, |
| 121 | AdditionLayer, |
| 122 | DataType::Float32>(); |
| 123 | } |
| 124 | |
| 125 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 126 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 127 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame^] | 128 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 129 | SubtractionQueueDescriptor, |
| 130 | SubtractionLayer, |
| 131 | DataType::Float16>(); |
| 132 | } |
| 133 | #endif |
| 134 | |
| 135 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 136 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame^] | 137 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 138 | SubtractionQueueDescriptor, |
| 139 | SubtractionLayer, |
| 140 | DataType::Float32>(); |
| 141 | } |
| 142 | |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame^] | 143 | BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) |
| 144 | { |
| 145 | NeonCreateElementwiseWorkloadTest<NeonSubtractionWorkload, |
| 146 | SubtractionQueueDescriptor, |
| 147 | SubtractionLayer, |
| 148 | DataType::QuantisedAsymm8>(); |
| 149 | } |
| 150 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 151 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 152 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16Workload) |
| 153 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame^] | 154 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 155 | MultiplicationQueueDescriptor, |
| 156 | MultiplicationLayer, |
| 157 | DataType::Float16>(); |
| 158 | } |
| 159 | #endif |
| 160 | |
| 161 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 162 | { |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame^] | 163 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 164 | MultiplicationQueueDescriptor, |
| 165 | MultiplicationLayer, |
| 166 | DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 167 | } |
| 168 | |
Conor Kennedy | b99480b | 2019-03-08 08:24:41 +0000 | [diff] [blame^] | 169 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) |
| 170 | { |
| 171 | NeonCreateElementwiseWorkloadTest<NeonMultiplicationWorkload, |
| 172 | MultiplicationQueueDescriptor, |
| 173 | MultiplicationLayer, |
| 174 | DataType::QuantisedAsymm8>(); |
| 175 | } |
| 176 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 177 | template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 178 | static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 179 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 180 | Graph graph; |
| 181 | NeonWorkloadFactory factory = |
| 182 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 183 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 184 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 185 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 186 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 187 | // 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] | 188 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 189 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 190 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 191 | |
| 192 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 193 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 194 | |
| 195 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 196 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 197 | } |
| 198 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 199 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 200 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 201 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 202 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float16>(DataLayout::NCHW); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 203 | } |
| 204 | |
| 205 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NhwcWorkload) |
| 206 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 207 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 208 | } |
| 209 | #endif |
| 210 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 211 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 212 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 213 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float32>(DataLayout::NCHW); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 214 | } |
| 215 | |
| 216 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 217 | { |
Matthew Bentham | c48ac8c | 2018-12-12 16:15:59 +0000 | [diff] [blame] | 218 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationWorkload, DataType::Float32>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 219 | } |
| 220 | |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 221 | template <typename armnn::DataType DataType> |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 222 | static void NeonCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 223 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 224 | Graph graph; |
| 225 | NeonWorkloadFactory factory = |
| 226 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 227 | |
| 228 | auto workload = CreateConvolution2dWorkloadTest<NeonConvolution2dWorkload, DataType>(factory, graph, dataLayout); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 229 | |
| 230 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 8, 16} : TensorShape{2, 8, 16, 3}; |
| 231 | 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] | 232 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 233 | // 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] | 234 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 235 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 236 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 237 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 238 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 239 | } |
| 240 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 241 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 242 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 243 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 244 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 245 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 246 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 247 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 248 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 249 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 250 | } |
| 251 | |
| 252 | #endif |
| 253 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 254 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 255 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 256 | } |
| 257 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 258 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 259 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 260 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 261 | } |
| 262 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 263 | template <typename armnn::DataType DataType> |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 264 | static void NeonCreateDepthWiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 265 | { |
| 266 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 267 | NeonWorkloadFactory factory = |
| 268 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 269 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 270 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<NeonDepthwiseConvolutionWorkload, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 271 | DataType>(factory, graph, dataLayout); |
| 272 | |
| 273 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 274 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 275 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 276 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 277 | |
| 278 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 279 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 280 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 281 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 282 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 283 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 284 | |
| 285 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 286 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 287 | } |
| 288 | |
| 289 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat32NhwcWorkload) |
| 290 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 291 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 292 | } |
| 293 | |
| 294 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 295 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat16NhwcWorkload) |
| 296 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 297 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 298 | } |
| 299 | #endif |
| 300 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 301 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 302 | static void NeonCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 303 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 304 | Graph graph; |
| 305 | NeonWorkloadFactory factory = |
| 306 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 307 | |
| 308 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 309 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 310 | // 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] | 311 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 312 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 313 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 314 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 1, 4, 5}, DataType))); |
| 315 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 7}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 316 | } |
| 317 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 318 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 319 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16Workload) |
| 320 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 321 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 322 | } |
| 323 | #endif |
| 324 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 325 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 326 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 327 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 328 | } |
| 329 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 330 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 331 | static void NeonCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 332 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 333 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 334 | NeonWorkloadFactory factory = |
| 335 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 336 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 337 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 338 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 339 | // 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] | 340 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 341 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 342 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 343 | |
| 344 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 345 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 346 | |
| 347 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 348 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 349 | } |
| 350 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 351 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 352 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 353 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 354 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 355 | } |
| 356 | |
| 357 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 358 | { |
| 359 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 360 | } |
| 361 | #endif |
| 362 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 363 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 364 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 365 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 366 | } |
| 367 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 368 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload) |
| 369 | { |
| 370 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 371 | } |
| 372 | |
| 373 | |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 374 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 375 | static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 376 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 377 | Graph graph; |
| 378 | NeonWorkloadFactory factory = |
| 379 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 380 | |
| 381 | auto workload = CreatePooling2dWorkloadTest<NeonPooling2dWorkload, DataType>(factory, graph, dataLayout); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 382 | |
| 383 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2}; |
| 384 | 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] | 385 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 386 | // 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] | 387 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 388 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 389 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 390 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 391 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 392 | } |
| 393 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 394 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 395 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 396 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 397 | NeonCreatePooling2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 398 | } |
| 399 | #endif |
| 400 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 401 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 402 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 403 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 404 | } |
| 405 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 406 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 407 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 408 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 409 | } |
| 410 | |
| 411 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload) |
| 412 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 413 | NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 414 | } |
| 415 | |
| 416 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 417 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 418 | NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 419 | } |
| 420 | |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 421 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 422 | static void NeonCreateReshapeWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 423 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 424 | Graph graph; |
| 425 | NeonWorkloadFactory factory = |
| 426 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 427 | |
| 428 | auto workload = CreateReshapeWorkloadTest<NeonReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 429 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 430 | // 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] | 431 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
| 432 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 433 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 434 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 435 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 4}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 436 | } |
| 437 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 438 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 439 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 440 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 441 | NeonCreateReshapeWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | } |
| 443 | #endif |
| 444 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 445 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 446 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 447 | NeonCreateReshapeWorkloadTest<DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 448 | } |
| 449 | |
| 450 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 451 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 452 | NeonCreateReshapeWorkloadTest<DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 453 | } |
| 454 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 455 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 456 | static void NeonCreateSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 457 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 458 | Graph graph; |
| 459 | NeonWorkloadFactory factory = |
| 460 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 461 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 462 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 463 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 464 | // 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] | 465 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
| 466 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 467 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 468 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 469 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({4, 1}, DataType))); |
| 470 | } |
| 471 | |
| 472 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 473 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16Workload) |
| 474 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 475 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 476 | } |
| 477 | #endif |
| 478 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 479 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 480 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 481 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 482 | } |
| 483 | |
| 484 | BOOST_AUTO_TEST_CASE(CreateSplitterWorkload) |
| 485 | { |
| 486 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 487 | NeonWorkloadFactory factory = |
| 488 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 489 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 490 | auto workload = CreateSplitterWorkloadTest<NeonSplitterWorkload, DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 491 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 492 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 493 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 494 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 495 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({5, 7, 7}, DataType::Float32))); |
| 496 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 497 | auto outputHandle0 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 498 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle0, TensorInfo({1, 7, 7}, DataType::Float32))); |
| 499 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | auto outputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 501 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle1, TensorInfo({2, 7, 7}, DataType::Float32))); |
| 502 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 503 | auto outputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 504 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle2, TensorInfo({2, 7, 7}, DataType::Float32))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 505 | } |
| 506 | |
| 507 | BOOST_AUTO_TEST_CASE(CreateSplitterMerger) |
| 508 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 509 | // Tests that it is possible to decide which output of the splitter layer |
| 510 | // should be lined to which input of the merger layer. |
| 511 | // We tested that is is possible to specify 0th output |
| 512 | // of the splitter to be the 1st input to the merger, and the 1st output of the splitter to be 0th input |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 513 | // of the merger. |
| 514 | |
| 515 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 516 | NeonWorkloadFactory factory = |
| 517 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 518 | |
| 519 | auto workloads = |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 520 | CreateSplitterMergerWorkloadTest<NeonSplitterWorkload, NeonMergerWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 521 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 522 | |
| 523 | auto wlSplitter = std::move(workloads.first); |
| 524 | auto wlMerger = std::move(workloads.second); |
| 525 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 526 | //Checks that the index of inputs/outputs matches what we declared on InputDescriptor construction. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 527 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 528 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 529 | armnn::INeonTensorHandle* mIn0 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 530 | armnn::INeonTensorHandle* mIn1 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 531 | |
| 532 | BOOST_TEST(sOut0); |
| 533 | BOOST_TEST(sOut1); |
| 534 | BOOST_TEST(mIn0); |
| 535 | BOOST_TEST(mIn1); |
| 536 | |
| 537 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 538 | |
| 539 | BOOST_TEST(validDataPointers); |
| 540 | } |
| 541 | |
| 542 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 543 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 544 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 545 | // 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] | 546 | |
| 547 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 548 | NeonWorkloadFactory factory = |
| 549 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 550 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 551 | std::unique_ptr<NeonSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 552 | std::unique_ptr<NeonActivationWorkload> wlActiv0_0; |
| 553 | std::unique_ptr<NeonActivationWorkload> wlActiv0_1; |
| 554 | std::unique_ptr<NeonActivationWorkload> wlActiv1_0; |
| 555 | std::unique_ptr<NeonActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 556 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 557 | CreateSplitterMultipleInputsOneOutputWorkloadTest<NeonSplitterWorkload, |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 558 | NeonActivationWorkload, DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
| 559 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 560 | |
| 561 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 562 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 563 | armnn::INeonTensorHandle* activ0_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 564 | armnn::INeonTensorHandle* activ0_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 565 | armnn::INeonTensorHandle* activ1_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 566 | armnn::INeonTensorHandle* activ1_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 567 | |
| 568 | |
| 569 | BOOST_TEST(sOut0); |
| 570 | BOOST_TEST(sOut1); |
| 571 | BOOST_TEST(activ0_0Im); |
| 572 | BOOST_TEST(activ0_1Im); |
| 573 | BOOST_TEST(activ1_0Im); |
| 574 | BOOST_TEST(activ1_1Im); |
| 575 | |
| 576 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 577 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 578 | |
| 579 | BOOST_TEST(validDataPointers); |
| 580 | } |
| 581 | |
| 582 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) |
| 583 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 584 | NeonWorkloadFactory factory = |
| 585 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 586 | CreateMemCopyWorkloads<INeonTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 587 | } |
| 588 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 589 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 590 | static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) |
| 591 | { |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 592 | Graph graph; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 593 | NeonWorkloadFactory factory = |
| 594 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 595 | |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 596 | auto workload = |
| 597 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 598 | |
| 599 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 600 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 601 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 602 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 603 | |
| 604 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? |
| 605 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 606 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? |
| 607 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 608 | |
| 609 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 610 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 611 | } |
| 612 | |
| 613 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 614 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 615 | { |
| 616 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 617 | } |
| 618 | |
| 619 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 620 | { |
| 621 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 622 | } |
| 623 | #endif |
| 624 | |
| 625 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) |
| 626 | { |
| 627 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 628 | } |
| 629 | |
| 630 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) |
| 631 | { |
| 632 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 633 | } |
| 634 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 635 | template <typename MergerWorkloadType, armnn::DataType DataType> |
| 636 | static void NeonCreateMergerWorkloadTest(std::initializer_list<unsigned int> outputShape, |
| 637 | unsigned int concatAxis) |
| 638 | { |
| 639 | Graph graph; |
| 640 | NeonWorkloadFactory factory = |
| 641 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 642 | |
| 643 | auto workload = CreateMergerWorkloadTest<MergerWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
| 644 | |
| 645 | MergerQueueDescriptor queueDescriptor = workload->GetData(); |
| 646 | auto inputHandle0 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 647 | auto inputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 648 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 649 | |
| 650 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle0, TensorInfo({ 2, 3, 2, 5 }, DataType))); |
| 651 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({ 2, 3, 2, 5 }, DataType))); |
| 652 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 653 | } |
| 654 | |
| 655 | BOOST_AUTO_TEST_CASE(CreateMergerDim0Float32Workload) |
| 656 | { |
| 657 | NeonCreateMergerWorkloadTest<NeonMergerWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
| 658 | } |
| 659 | |
| 660 | BOOST_AUTO_TEST_CASE(CreateMergerDim1Float32Workload) |
| 661 | { |
| 662 | NeonCreateMergerWorkloadTest<NeonMergerWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
| 663 | } |
| 664 | |
| 665 | BOOST_AUTO_TEST_CASE(CreateMergerDim3Float32Workload) |
| 666 | { |
| 667 | NeonCreateMergerWorkloadTest<NeonMergerWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
| 668 | } |
| 669 | |
narpra01 | 63b0882 | 2018-11-20 11:29:12 +0000 | [diff] [blame] | 670 | BOOST_AUTO_TEST_CASE(CreateMergerDim0Uint8Workload) |
| 671 | { |
| 672 | NeonCreateMergerWorkloadTest<NeonMergerWorkload, armnn::DataType::QuantisedAsymm8>({ 4, 3, 2, 5 }, 0); |
| 673 | } |
| 674 | |
| 675 | BOOST_AUTO_TEST_CASE(CreateMergerDim1Uint8Workload) |
| 676 | { |
| 677 | NeonCreateMergerWorkloadTest<NeonMergerWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 6, 2, 5 }, 1); |
| 678 | } |
| 679 | |
| 680 | BOOST_AUTO_TEST_CASE(CreateMergerDim3Uint8Workload) |
| 681 | { |
| 682 | NeonCreateMergerWorkloadTest<NeonMergerWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }, 3); |
| 683 | } |
| 684 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 685 | BOOST_AUTO_TEST_SUITE_END() |