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 | |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 6 | #include <backends/MemCopyWorkload.hpp> |
Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame] | 7 | |
| 8 | #include <backends/aclCommon/test/CreateWorkloadClNeon.hpp> |
| 9 | |
David Beck | 0dbe0ee | 2018-09-24 15:59:27 +0100 | [diff] [blame] | 10 | #include <backends/neon/NeonWorkloadFactory.hpp> |
| 11 | #include <backends/neon/NeonTensorHandle.hpp> |
| 12 | #include <backends/neon/workloads/NeonWorkloadUtils.hpp> |
| 13 | #include <backends/neon/workloads/NeonWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
| 15 | BOOST_AUTO_TEST_SUITE(CreateWorkloadNeon) |
| 16 | |
| 17 | namespace |
| 18 | { |
| 19 | |
| 20 | bool TestNeonTensorHandleInfo(armnn::INeonTensorHandle* handle, const armnn::TensorInfo& expectedInfo) |
| 21 | { |
| 22 | using namespace armnn::armcomputetensorutils; |
| 23 | |
| 24 | const arm_compute::ITensorInfo* handleInfo = handle->GetTensor().info(); |
| 25 | const arm_compute::TensorInfo expectedAclInfo = BuildArmComputeTensorInfo(expectedInfo); |
| 26 | |
| 27 | if (handleInfo->data_type() != expectedAclInfo.data_type()) |
| 28 | { |
| 29 | return false; |
| 30 | } |
| 31 | |
| 32 | if (handleInfo->num_dimensions() != expectedAclInfo.num_dimensions()) |
| 33 | { |
| 34 | return false; |
| 35 | } |
| 36 | |
| 37 | if (handleInfo->quantization_info() != expectedAclInfo.quantization_info()) |
| 38 | { |
| 39 | return false; |
| 40 | } |
| 41 | |
| 42 | for (std::size_t d = 0; d < expectedAclInfo.num_dimensions(); ++d) |
| 43 | { |
| 44 | if (handleInfo->dimension(d) != expectedAclInfo.dimension(d)) |
| 45 | { |
| 46 | return false; |
| 47 | } |
| 48 | } |
| 49 | |
| 50 | return true; |
| 51 | } |
| 52 | |
| 53 | } // namespace |
| 54 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 55 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 56 | static void NeonCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 57 | { |
| 58 | Graph graph; |
| 59 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 60 | auto workload = CreateActivationWorkloadTest<NeonActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 61 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 62 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 63 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 64 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 65 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 66 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({1, 1}, DataType))); |
| 67 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 68 | } |
| 69 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 70 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 71 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 72 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 73 | NeonCreateActivationWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 74 | } |
| 75 | #endif |
| 76 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 77 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 78 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 79 | NeonCreateActivationWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 80 | } |
| 81 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 82 | template <typename WorkloadType, |
| 83 | typename DescriptorType, |
| 84 | typename LayerType, |
| 85 | armnn::DataType DataType> |
| 86 | static void NeonCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 87 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 88 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 89 | NeonWorkloadFactory factory; |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 90 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
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 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 93 | auto inputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 94 | auto inputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 95 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 96 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({2, 3}, DataType))); |
| 97 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle2, TensorInfo({2, 3}, DataType))); |
| 98 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 99 | } |
| 100 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 101 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 102 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 103 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 104 | NeonCreateArithmethicWorkloadTest<NeonAdditionFloatWorkload, |
| 105 | AdditionQueueDescriptor, |
| 106 | AdditionLayer, |
| 107 | DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 108 | } |
| 109 | #endif |
| 110 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 111 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 112 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 113 | NeonCreateArithmethicWorkloadTest<NeonAdditionFloatWorkload, |
| 114 | AdditionQueueDescriptor, |
| 115 | AdditionLayer, |
| 116 | DataType::Float32>(); |
| 117 | } |
| 118 | |
| 119 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 120 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 121 | { |
| 122 | NeonCreateArithmethicWorkloadTest<NeonSubtractionFloatWorkload, |
| 123 | SubtractionQueueDescriptor, |
| 124 | SubtractionLayer, |
| 125 | DataType::Float16>(); |
| 126 | } |
| 127 | #endif |
| 128 | |
| 129 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 130 | { |
| 131 | NeonCreateArithmethicWorkloadTest<NeonSubtractionFloatWorkload, |
| 132 | SubtractionQueueDescriptor, |
| 133 | SubtractionLayer, |
| 134 | DataType::Float32>(); |
| 135 | } |
| 136 | |
| 137 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 138 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16Workload) |
| 139 | { |
| 140 | NeonCreateArithmethicWorkloadTest<NeonMultiplicationFloatWorkload, |
| 141 | MultiplicationQueueDescriptor, |
| 142 | MultiplicationLayer, |
| 143 | DataType::Float16>(); |
| 144 | } |
| 145 | #endif |
| 146 | |
| 147 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 148 | { |
| 149 | NeonCreateArithmethicWorkloadTest<NeonMultiplicationFloatWorkload, |
| 150 | MultiplicationQueueDescriptor, |
| 151 | MultiplicationLayer, |
| 152 | DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 153 | } |
| 154 | |
| 155 | template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> |
| 156 | static void NeonCreateBatchNormalizationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 157 | { |
| 158 | Graph graph; |
| 159 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 160 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 161 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 162 | // 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] | 163 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 164 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 165 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 166 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({2, 3, 1, 1}, DataType))); |
| 167 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3, 1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 168 | } |
| 169 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 170 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 171 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) |
| 172 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 173 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 174 | } |
| 175 | #endif |
| 176 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 177 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 178 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 179 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 180 | } |
| 181 | |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame^] | 182 | template <typename armnn::DataType DataType> |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 183 | static void NeonCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 184 | { |
| 185 | Graph graph; |
| 186 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame^] | 187 | auto workload = CreateConvolution2dWorkloadTest<NeonConvolution2dWorkload, |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 188 | DataType>(factory, graph, dataLayout); |
| 189 | |
| 190 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 8, 16} : TensorShape{2, 8, 16, 3}; |
| 191 | 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] | 192 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 193 | // 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] | 194 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 195 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 196 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 197 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 198 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 199 | } |
| 200 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 201 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 202 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 203 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame^] | 204 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 205 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 206 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 207 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 208 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame^] | 209 | NeonCreateConvolution2dWorkloadTest<DataType::Float16>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 210 | } |
| 211 | |
| 212 | #endif |
| 213 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 214 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame^] | 215 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 216 | } |
| 217 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 218 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 219 | { |
Nattapat Chaimanowong | 974b65f | 2018-10-15 15:07:34 +0100 | [diff] [blame^] | 220 | NeonCreateConvolution2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 221 | } |
| 222 | |
Nikhil Raj | cec6b65 | 2018-10-12 13:51:57 +0100 | [diff] [blame] | 223 | template <typename DepthwiseConvolution2dFloat32WorkloadType, typename armnn::DataType DataType> |
| 224 | static void NeonCreateDepthWiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 225 | { |
| 226 | Graph graph; |
| 227 | NeonWorkloadFactory factory; |
| 228 | |
| 229 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<DepthwiseConvolution2dFloat32WorkloadType, |
| 230 | DataType>(factory, graph, dataLayout); |
| 231 | |
| 232 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 233 | DepthwiseConvolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 234 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 235 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 236 | |
| 237 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 238 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 239 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 240 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 241 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 242 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 243 | |
| 244 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 245 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
| 246 | } |
| 247 | |
| 248 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat32NhwcWorkload) |
| 249 | { |
| 250 | NeonCreateDepthWiseConvolutionWorkloadTest<NeonDepthwiseConvolutionFloatWorkload, |
| 251 | DataType::Float32>(DataLayout::NHWC); |
| 252 | } |
| 253 | |
| 254 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 255 | BOOST_AUTO_TEST_CASE(CreateDepthWiseConvolution2dFloat16NhwcWorkload) |
| 256 | { |
| 257 | NeonCreateDepthWiseConvolutionWorkloadTest<NeonDepthwiseConvolutionFloatWorkload, |
| 258 | DataType::Float16>(DataLayout::NHWC); |
| 259 | } |
| 260 | #endif |
| 261 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 262 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 263 | static void NeonCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 264 | { |
| 265 | Graph graph; |
| 266 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 267 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, |
| 268 | DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 269 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 270 | // 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] | 271 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 272 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 273 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 274 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 1, 4, 5}, DataType))); |
| 275 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 7}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 276 | } |
| 277 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 278 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 279 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16Workload) |
| 280 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 281 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 282 | } |
| 283 | #endif |
| 284 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 285 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 286 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 287 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 288 | } |
| 289 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 290 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 291 | static void NeonCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 292 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 293 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 294 | NeonWorkloadFactory factory; |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 295 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 296 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 297 | // 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] | 298 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 299 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 300 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 301 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 5, 5, 1}, DataType))); |
| 302 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 5, 5, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 303 | } |
| 304 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 305 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 306 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 307 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 308 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 309 | } |
| 310 | |
| 311 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 312 | { |
| 313 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 314 | } |
| 315 | #endif |
| 316 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 317 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 318 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 319 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 320 | } |
| 321 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 322 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload) |
| 323 | { |
| 324 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 325 | } |
| 326 | |
| 327 | |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 328 | template <typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 329 | static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 330 | { |
| 331 | Graph graph; |
| 332 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 333 | auto workload = CreatePooling2dWorkloadTest<NeonPooling2dWorkload, DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 334 | (factory, graph, dataLayout); |
| 335 | |
| 336 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2}; |
| 337 | 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] | 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 CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 340 | Pooling2dQueueDescriptor 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]); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 343 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 344 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 345 | } |
| 346 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 347 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 348 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 349 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 350 | NeonCreatePooling2dWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 351 | } |
| 352 | #endif |
| 353 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 354 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 355 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 356 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 357 | } |
| 358 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 359 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 360 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 361 | NeonCreatePooling2dWorkloadTest<DataType::Float32>(DataLayout::NHWC); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 362 | } |
| 363 | |
| 364 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload) |
| 365 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 366 | NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NCHW); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 367 | } |
| 368 | |
| 369 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 370 | { |
Nattapat Chaimanowong | 5d2e700 | 2018-10-12 16:03:56 +0100 | [diff] [blame] | 371 | NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 372 | } |
| 373 | |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 374 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 375 | static void NeonCreateReshapeWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 376 | { |
| 377 | Graph graph; |
| 378 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 379 | auto workload = CreateReshapeWorkloadTest<NeonReshapeWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 380 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 381 | // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 382 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
| 383 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 384 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 385 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 386 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 4}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 387 | } |
| 388 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 389 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 390 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 391 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 392 | NeonCreateReshapeWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 393 | } |
| 394 | #endif |
| 395 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 396 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 397 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 398 | NeonCreateReshapeWorkloadTest<DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 399 | } |
| 400 | |
| 401 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 402 | { |
Nattapat Chaimanowong | cce11fc | 2018-10-12 16:30:56 +0100 | [diff] [blame] | 403 | NeonCreateReshapeWorkloadTest<DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 404 | } |
| 405 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 406 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 407 | static void NeonCreateSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 408 | { |
| 409 | Graph graph; |
| 410 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 411 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 412 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 413 | // 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] | 414 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
| 415 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 416 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 417 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 418 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({4, 1}, DataType))); |
| 419 | } |
| 420 | |
| 421 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 422 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16Workload) |
| 423 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 424 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 425 | } |
| 426 | #endif |
| 427 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 428 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 429 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 430 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 431 | } |
| 432 | |
| 433 | BOOST_AUTO_TEST_CASE(CreateSplitterWorkload) |
| 434 | { |
| 435 | Graph graph; |
| 436 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 437 | auto workload = CreateSplitterWorkloadTest<NeonSplitterWorkload, DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 438 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 439 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 441 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 442 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({5, 7, 7}, DataType::Float32))); |
| 443 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 444 | auto outputHandle0 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 445 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle0, TensorInfo({1, 7, 7}, DataType::Float32))); |
| 446 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 447 | auto outputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 448 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle1, TensorInfo({2, 7, 7}, DataType::Float32))); |
| 449 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | auto outputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 451 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle2, TensorInfo({2, 7, 7}, DataType::Float32))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | } |
| 453 | |
| 454 | BOOST_AUTO_TEST_CASE(CreateSplitterMerger) |
| 455 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 456 | // Tests that it is possible to decide which output of the splitter layer |
| 457 | // should be lined to which input of the merger layer. |
| 458 | // We tested that is is possible to specify 0th output |
| 459 | // 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] | 460 | // of the merger. |
| 461 | |
| 462 | Graph graph; |
| 463 | NeonWorkloadFactory factory; |
| 464 | |
| 465 | auto workloads = |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 466 | CreateSplitterMergerWorkloadTest<NeonSplitterWorkload, NeonMergerWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 467 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 468 | |
| 469 | auto wlSplitter = std::move(workloads.first); |
| 470 | auto wlMerger = std::move(workloads.second); |
| 471 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 472 | //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] | 473 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 474 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 475 | armnn::INeonTensorHandle* mIn0 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 476 | armnn::INeonTensorHandle* mIn1 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 477 | |
| 478 | BOOST_TEST(sOut0); |
| 479 | BOOST_TEST(sOut1); |
| 480 | BOOST_TEST(mIn0); |
| 481 | BOOST_TEST(mIn1); |
| 482 | |
| 483 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 484 | |
| 485 | BOOST_TEST(validDataPointers); |
| 486 | } |
| 487 | |
| 488 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 489 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 490 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 491 | // 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] | 492 | |
| 493 | Graph graph; |
| 494 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 495 | std::unique_ptr<NeonSplitterWorkload> wlSplitter; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 496 | std::unique_ptr<NeonActivationWorkload> wlActiv0_0; |
| 497 | std::unique_ptr<NeonActivationWorkload> wlActiv0_1; |
| 498 | std::unique_ptr<NeonActivationWorkload> wlActiv1_0; |
| 499 | std::unique_ptr<NeonActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 500 | |
Nattapat Chaimanowong | 14766d7 | 2018-10-12 15:09:53 +0100 | [diff] [blame] | 501 | CreateSplitterMultipleInputsOneOutputWorkloadTest<NeonSplitterWorkload, |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame] | 502 | NeonActivationWorkload, DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
| 503 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 504 | |
| 505 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 506 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 507 | armnn::INeonTensorHandle* activ0_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 508 | armnn::INeonTensorHandle* activ0_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 509 | armnn::INeonTensorHandle* activ1_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 510 | armnn::INeonTensorHandle* activ1_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 511 | |
| 512 | |
| 513 | BOOST_TEST(sOut0); |
| 514 | BOOST_TEST(sOut1); |
| 515 | BOOST_TEST(activ0_0Im); |
| 516 | BOOST_TEST(activ0_1Im); |
| 517 | BOOST_TEST(activ1_0Im); |
| 518 | BOOST_TEST(activ1_1Im); |
| 519 | |
| 520 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 521 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 522 | |
| 523 | BOOST_TEST(validDataPointers); |
| 524 | } |
| 525 | |
| 526 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) |
| 527 | { |
| 528 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 529 | CreateMemCopyWorkloads<INeonTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 530 | } |
| 531 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 532 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 533 | static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) |
| 534 | { |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 535 | Graph graph; |
| 536 | NeonWorkloadFactory factory; |
| 537 | auto workload = |
| 538 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 539 | |
| 540 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 541 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 542 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 543 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 544 | |
| 545 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? |
| 546 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 547 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? |
| 548 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 549 | |
| 550 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 551 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 552 | } |
| 553 | |
| 554 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 555 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 556 | { |
| 557 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 558 | } |
| 559 | |
| 560 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 561 | { |
| 562 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 563 | } |
| 564 | #endif |
| 565 | |
| 566 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) |
| 567 | { |
| 568 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 569 | } |
| 570 | |
| 571 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) |
| 572 | { |
| 573 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 574 | } |
| 575 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 576 | BOOST_AUTO_TEST_SUITE_END() |