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 | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 61 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 62 | auto workload = CreateActivationWorkloadTest<NeonActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 63 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 64 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 65 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 66 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 67 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 68 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({1, 1}, DataType))); |
| 69 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 70 | } |
| 71 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 72 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 73 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 74 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 75 | NeonCreateActivationWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | } |
| 77 | #endif |
| 78 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 79 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 81 | NeonCreateActivationWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 82 | } |
| 83 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 84 | template <typename WorkloadType, |
| 85 | typename DescriptorType, |
| 86 | typename LayerType, |
| 87 | armnn::DataType DataType> |
| 88 | static void NeonCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 89 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 90 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 91 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 92 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 93 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 94 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 95 | auto inputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 96 | auto inputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 97 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 98 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({2, 3}, DataType))); |
| 99 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle2, TensorInfo({2, 3}, DataType))); |
| 100 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 101 | } |
| 102 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 103 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 104 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 105 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 106 | NeonCreateArithmethicWorkloadTest<NeonAdditionFloatWorkload, |
| 107 | AdditionQueueDescriptor, |
| 108 | AdditionLayer, |
| 109 | DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 110 | } |
| 111 | #endif |
| 112 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 113 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 114 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 115 | NeonCreateArithmethicWorkloadTest<NeonAdditionFloatWorkload, |
| 116 | AdditionQueueDescriptor, |
| 117 | AdditionLayer, |
| 118 | DataType::Float32>(); |
| 119 | } |
| 120 | |
| 121 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 122 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 123 | { |
| 124 | NeonCreateArithmethicWorkloadTest<NeonSubtractionFloatWorkload, |
| 125 | SubtractionQueueDescriptor, |
| 126 | SubtractionLayer, |
| 127 | DataType::Float16>(); |
| 128 | } |
| 129 | #endif |
| 130 | |
| 131 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 132 | { |
| 133 | NeonCreateArithmethicWorkloadTest<NeonSubtractionFloatWorkload, |
| 134 | SubtractionQueueDescriptor, |
| 135 | SubtractionLayer, |
| 136 | DataType::Float32>(); |
| 137 | } |
| 138 | |
| 139 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 140 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16Workload) |
| 141 | { |
| 142 | NeonCreateArithmethicWorkloadTest<NeonMultiplicationFloatWorkload, |
| 143 | MultiplicationQueueDescriptor, |
| 144 | MultiplicationLayer, |
| 145 | DataType::Float16>(); |
| 146 | } |
| 147 | #endif |
| 148 | |
| 149 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 150 | { |
| 151 | NeonCreateArithmethicWorkloadTest<NeonMultiplicationFloatWorkload, |
| 152 | MultiplicationQueueDescriptor, |
| 153 | MultiplicationLayer, |
| 154 | DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 155 | } |
| 156 | |
| 157 | template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 158 | static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 159 | { |
| 160 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 161 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 162 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> |
| 163 | (factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 164 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 165 | // 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] | 166 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 167 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 168 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 169 | |
| 170 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 171 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; |
| 172 | |
| 173 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 174 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 175 | } |
| 176 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 177 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 178 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 179 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 180 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 181 | } |
| 182 | |
| 183 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NhwcWorkload) |
| 184 | { |
| 185 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 186 | } |
| 187 | #endif |
| 188 | |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 189 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 190 | { |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 191 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 192 | } |
| 193 | |
| 194 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) |
| 195 | { |
| 196 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 197 | } |
| 198 | |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 199 | template <typename armnn::DataType DataType> |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 200 | static void NeonCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 201 | { |
| 202 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 203 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 204 | auto workload = CreateConvolution2dWorkloadTest<NeonConvolution2dWorkload, |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 205 | DataType>(factory, graph, dataLayout); |
| 206 | |
| 207 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 8, 16} : TensorShape{2, 8, 16, 3}; |
| 208 | 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] | 209 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 210 | // 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] | 211 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 212 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 213 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 214 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 215 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 216 | } |
| 217 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 218 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 219 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 220 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 221 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 222 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 223 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 224 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 225 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 226 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 227 | } |
| 228 | |
| 229 | #endif |
| 230 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 231 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 232 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 233 | } |
| 234 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 235 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 236 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame] | 237 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 238 | } |
| 239 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 240 | template <typename armnn::DataType DataType> |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 241 | static void NeonCreateDepthWiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 242 | { |
| 243 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 244 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 245 | |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 246 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<NeonDepthwiseConvolutionWorkload, |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 247 | DataType>(factory, graph, dataLayout); |
| 248 | |
| 249 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 250 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 251 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 252 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 253 | |
| 254 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 255 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 256 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 257 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 258 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 259 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 260 | |
| 261 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 262 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 263 | } |
| 264 | |
| 265 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat32NhwcWorkload) |
| 266 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 267 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 268 | } |
| 269 | |
| 270 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 271 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat16NhwcWorkload) |
| 272 | { |
Nattapat Chaimanowong | 7714088 | 2018-10-17 11:12:19 +0100 | [diff] [blame] | 273 | NeonCreateDepthWiseConvolutionWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 274 | } |
| 275 | #endif |
| 276 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 277 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 278 | static void NeonCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 279 | { |
| 280 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 281 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 282 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, |
| 283 | DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 284 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 285 | // 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] | 286 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 287 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 288 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 289 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 1, 4, 5}, DataType))); |
| 290 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 7}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 291 | } |
| 292 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 293 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 294 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16Workload) |
| 295 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 296 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 297 | } |
| 298 | #endif |
| 299 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 300 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 301 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 302 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 303 | } |
| 304 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 305 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 306 | static void NeonCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 307 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 308 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 309 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 310 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 311 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 312 | // 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] | 313 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 314 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 315 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 316 | |
| 317 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 318 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 5, 5, 1} : TensorShape{3, 1, 5, 5}; |
| 319 | |
| 320 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 321 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 322 | } |
| 323 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 324 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 325 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 326 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 327 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 328 | } |
| 329 | |
| 330 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 331 | { |
| 332 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 333 | } |
| 334 | #endif |
| 335 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 336 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 337 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 338 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 339 | } |
| 340 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 341 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload) |
| 342 | { |
| 343 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 344 | } |
| 345 | |
| 346 | |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 347 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 348 | static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 349 | { |
| 350 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 351 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 352 | auto workload = CreatePooling2dWorkloadTest<NeonPooling2dWorkload, DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 353 | (factory, graph, dataLayout); |
| 354 | |
| 355 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2}; |
| 356 | 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] | 357 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 358 | // 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] | 359 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 360 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 361 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 362 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 363 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | } |
| 365 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 366 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 367 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 368 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 369 | NeonCreatePooling2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 370 | } |
| 371 | #endif |
| 372 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 373 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 374 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 375 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 376 | } |
| 377 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 378 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 379 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 380 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 381 | } |
| 382 | |
| 383 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload) |
| 384 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 385 | NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 386 | } |
| 387 | |
| 388 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 389 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 390 | NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 391 | } |
| 392 | |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 393 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 394 | static void NeonCreateReshapeWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 395 | { |
| 396 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 397 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 398 | auto workload = CreateReshapeWorkloadTest<NeonReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 399 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 400 | // 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] | 401 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
| 402 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 403 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 404 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 405 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 4}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 406 | } |
| 407 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 408 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 409 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 410 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 411 | NeonCreateReshapeWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 412 | } |
| 413 | #endif |
| 414 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 415 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 417 | NeonCreateReshapeWorkloadTest<DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 418 | } |
| 419 | |
| 420 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 421 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 422 | NeonCreateReshapeWorkloadTest<DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 423 | } |
| 424 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 425 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 426 | static void NeonCreateSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 427 | { |
| 428 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 429 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 430 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 431 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 432 | // 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] | 433 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
| 434 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 435 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 436 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 437 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({4, 1}, DataType))); |
| 438 | } |
| 439 | |
| 440 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 441 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16Workload) |
| 442 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 443 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 444 | } |
| 445 | #endif |
| 446 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 447 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 448 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 449 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | } |
| 451 | |
| 452 | BOOST_AUTO_TEST_CASE(CreateSplitterWorkload) |
| 453 | { |
| 454 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 455 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 456 | auto workload = CreateSplitterWorkloadTest<NeonSplitterWorkload, DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 457 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 458 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 459 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 460 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 461 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({5, 7, 7}, DataType::Float32))); |
| 462 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 463 | auto outputHandle0 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 464 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle0, TensorInfo({1, 7, 7}, DataType::Float32))); |
| 465 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 466 | auto outputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 467 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle1, TensorInfo({2, 7, 7}, DataType::Float32))); |
| 468 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | auto outputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 470 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle2, TensorInfo({2, 7, 7}, DataType::Float32))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 471 | } |
| 472 | |
| 473 | BOOST_AUTO_TEST_CASE(CreateSplitterMerger) |
| 474 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 475 | // Tests that it is possible to decide which output of the splitter layer |
| 476 | // should be lined to which input of the merger layer. |
| 477 | // We tested that is is possible to specify 0th output |
| 478 | // 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] | 479 | // of the merger. |
| 480 | |
| 481 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 482 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 483 | |
| 484 | auto workloads = |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 485 | CreateSplitterMergerWorkloadTest<NeonSplitterWorkload, NeonMergerWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 486 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 487 | |
| 488 | auto wlSplitter = std::move(workloads.first); |
| 489 | auto wlMerger = std::move(workloads.second); |
| 490 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 491 | //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] | 492 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 493 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 494 | armnn::INeonTensorHandle* mIn0 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 495 | armnn::INeonTensorHandle* mIn1 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 496 | |
| 497 | BOOST_TEST(sOut0); |
| 498 | BOOST_TEST(sOut1); |
| 499 | BOOST_TEST(mIn0); |
| 500 | BOOST_TEST(mIn1); |
| 501 | |
| 502 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 503 | |
| 504 | BOOST_TEST(validDataPointers); |
| 505 | } |
| 506 | |
| 507 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 508 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 509 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 510 | // 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] | 511 | |
| 512 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 513 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 514 | std::unique_ptr<NeonSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 515 | std::unique_ptr<NeonActivationWorkload> wlActiv0_0; |
| 516 | std::unique_ptr<NeonActivationWorkload> wlActiv0_1; |
| 517 | std::unique_ptr<NeonActivationWorkload> wlActiv1_0; |
| 518 | std::unique_ptr<NeonActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 519 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 520 | CreateSplitterMultipleInputsOneOutputWorkloadTest<NeonSplitterWorkload, |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 521 | NeonActivationWorkload, DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
| 522 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 523 | |
| 524 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 525 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 526 | armnn::INeonTensorHandle* activ0_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 527 | armnn::INeonTensorHandle* activ0_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 528 | armnn::INeonTensorHandle* activ1_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 529 | armnn::INeonTensorHandle* activ1_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 530 | |
| 531 | |
| 532 | BOOST_TEST(sOut0); |
| 533 | BOOST_TEST(sOut1); |
| 534 | BOOST_TEST(activ0_0Im); |
| 535 | BOOST_TEST(activ0_1Im); |
| 536 | BOOST_TEST(activ1_0Im); |
| 537 | BOOST_TEST(activ1_1Im); |
| 538 | |
| 539 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 540 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 541 | |
| 542 | BOOST_TEST(validDataPointers); |
| 543 | } |
| 544 | |
| 545 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) |
| 546 | { |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 547 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 548 | CreateMemCopyWorkloads<INeonTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 549 | } |
| 550 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 551 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 552 | static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) |
| 553 | { |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 554 | Graph graph; |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 555 | NeonWorkloadFactory factory = NeonWorkloadFactoryHelper::GetFactory(); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 556 | auto workload = |
| 557 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 558 | |
| 559 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 560 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 561 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 562 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 563 | |
| 564 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? |
| 565 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 566 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? |
| 567 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 568 | |
| 569 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 570 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 571 | } |
| 572 | |
| 573 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 574 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 575 | { |
| 576 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 577 | } |
| 578 | |
| 579 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 580 | { |
| 581 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 582 | } |
| 583 | #endif |
| 584 | |
| 585 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) |
| 586 | { |
| 587 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 588 | } |
| 589 | |
| 590 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) |
| 591 | { |
| 592 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 593 | } |
| 594 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 595 | BOOST_AUTO_TEST_SUITE_END() |