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 | |
| 6 | #include <armnn/test/CreateWorkloadClNeon.hpp> |
| 7 | |
| 8 | #include <backends/MemCopyWorkload.hpp> |
David Beck | 0dbe0ee | 2018-09-24 15:59:27 +0100 | [diff] [blame] | 9 | #include <backends/neon/NeonWorkloadFactory.hpp> |
| 10 | #include <backends/neon/NeonTensorHandle.hpp> |
| 11 | #include <backends/neon/workloads/NeonWorkloadUtils.hpp> |
| 12 | #include <backends/neon/workloads/NeonWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | |
| 14 | BOOST_AUTO_TEST_SUITE(CreateWorkloadNeon) |
| 15 | |
| 16 | namespace |
| 17 | { |
| 18 | |
| 19 | bool TestNeonTensorHandleInfo(armnn::INeonTensorHandle* handle, const armnn::TensorInfo& expectedInfo) |
| 20 | { |
| 21 | using namespace armnn::armcomputetensorutils; |
| 22 | |
| 23 | const arm_compute::ITensorInfo* handleInfo = handle->GetTensor().info(); |
| 24 | const arm_compute::TensorInfo expectedAclInfo = BuildArmComputeTensorInfo(expectedInfo); |
| 25 | |
| 26 | if (handleInfo->data_type() != expectedAclInfo.data_type()) |
| 27 | { |
| 28 | return false; |
| 29 | } |
| 30 | |
| 31 | if (handleInfo->num_dimensions() != expectedAclInfo.num_dimensions()) |
| 32 | { |
| 33 | return false; |
| 34 | } |
| 35 | |
| 36 | if (handleInfo->quantization_info() != expectedAclInfo.quantization_info()) |
| 37 | { |
| 38 | return false; |
| 39 | } |
| 40 | |
| 41 | for (std::size_t d = 0; d < expectedAclInfo.num_dimensions(); ++d) |
| 42 | { |
| 43 | if (handleInfo->dimension(d) != expectedAclInfo.dimension(d)) |
| 44 | { |
| 45 | return false; |
| 46 | } |
| 47 | } |
| 48 | |
| 49 | return true; |
| 50 | } |
| 51 | |
| 52 | } // namespace |
| 53 | |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame^] | 54 | template <typename armnn::DataType DataType> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 55 | static void NeonCreateActivationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 56 | { |
| 57 | Graph graph; |
| 58 | NeonWorkloadFactory factory; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame^] | 59 | auto workload = CreateActivationWorkloadTest<NeonActivationWorkload, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 60 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 61 | // Checks that inputs/outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 62 | ActivationQueueDescriptor queueDescriptor = workload->GetData(); |
| 63 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 64 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 65 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({1, 1}, DataType))); |
| 66 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 67 | } |
| 68 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 69 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 70 | BOOST_AUTO_TEST_CASE(CreateActivationFloat16Workload) |
| 71 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame^] | 72 | NeonCreateActivationWorkloadTest<DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 73 | } |
| 74 | #endif |
| 75 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 76 | BOOST_AUTO_TEST_CASE(CreateActivationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 77 | { |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame^] | 78 | NeonCreateActivationWorkloadTest<DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 79 | } |
| 80 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 81 | template <typename WorkloadType, |
| 82 | typename DescriptorType, |
| 83 | typename LayerType, |
| 84 | armnn::DataType DataType> |
| 85 | static void NeonCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 86 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 87 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 88 | NeonWorkloadFactory factory; |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 89 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 90 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 91 | DescriptorType queueDescriptor = workload->GetData(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 92 | auto inputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 93 | auto inputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 94 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 95 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle1, TensorInfo({2, 3}, DataType))); |
| 96 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle2, TensorInfo({2, 3}, DataType))); |
| 97 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 98 | } |
| 99 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 100 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 101 | BOOST_AUTO_TEST_CASE(CreateAdditionFloat16Workload) |
| 102 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 103 | NeonCreateArithmethicWorkloadTest<NeonAdditionFloatWorkload, |
| 104 | AdditionQueueDescriptor, |
| 105 | AdditionLayer, |
| 106 | DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 107 | } |
| 108 | #endif |
| 109 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 110 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 111 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 112 | NeonCreateArithmethicWorkloadTest<NeonAdditionFloatWorkload, |
| 113 | AdditionQueueDescriptor, |
| 114 | AdditionLayer, |
| 115 | DataType::Float32>(); |
| 116 | } |
| 117 | |
| 118 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 119 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloat16Workload) |
| 120 | { |
| 121 | NeonCreateArithmethicWorkloadTest<NeonSubtractionFloatWorkload, |
| 122 | SubtractionQueueDescriptor, |
| 123 | SubtractionLayer, |
| 124 | DataType::Float16>(); |
| 125 | } |
| 126 | #endif |
| 127 | |
| 128 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 129 | { |
| 130 | NeonCreateArithmethicWorkloadTest<NeonSubtractionFloatWorkload, |
| 131 | SubtractionQueueDescriptor, |
| 132 | SubtractionLayer, |
| 133 | DataType::Float32>(); |
| 134 | } |
| 135 | |
| 136 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 137 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloat16Workload) |
| 138 | { |
| 139 | NeonCreateArithmethicWorkloadTest<NeonMultiplicationFloatWorkload, |
| 140 | MultiplicationQueueDescriptor, |
| 141 | MultiplicationLayer, |
| 142 | DataType::Float16>(); |
| 143 | } |
| 144 | #endif |
| 145 | |
| 146 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 147 | { |
| 148 | NeonCreateArithmethicWorkloadTest<NeonMultiplicationFloatWorkload, |
| 149 | MultiplicationQueueDescriptor, |
| 150 | MultiplicationLayer, |
| 151 | DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 152 | } |
| 153 | |
| 154 | template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> |
| 155 | static void NeonCreateBatchNormalizationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 156 | { |
| 157 | Graph graph; |
| 158 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 159 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 160 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 161 | // 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] | 162 | BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 163 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 164 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 165 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({2, 3, 1, 1}, DataType))); |
| 166 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3, 1, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 167 | } |
| 168 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 169 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 170 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) |
| 171 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 172 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 173 | } |
| 174 | #endif |
| 175 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 176 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 177 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 178 | NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 179 | } |
| 180 | |
| 181 | template <typename Convolution2dWorkloadType, typename armnn::DataType DataType> |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 182 | static void NeonCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 183 | { |
| 184 | Graph graph; |
| 185 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 186 | auto workload = CreateConvolution2dWorkloadTest<Convolution2dWorkloadType, |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 187 | DataType>(factory, graph, dataLayout); |
| 188 | |
| 189 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 8, 16} : TensorShape{2, 8, 16, 3}; |
| 190 | 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] | 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // 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] | 193 | Convolution2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 194 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 195 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 196 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 197 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 198 | } |
| 199 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 200 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 201 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 202 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 203 | NeonCreateConvolution2dWorkloadTest<NeonConvolution2dFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 204 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 205 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 206 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloat16NhwcWorkload) |
| 207 | { |
| 208 | NeonCreateConvolution2dWorkloadTest<NeonConvolution2dFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 209 | } |
| 210 | |
| 211 | #endif |
| 212 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 213 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 214 | NeonCreateConvolution2dWorkloadTest<NeonConvolution2dFloatWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 215 | } |
| 216 | |
Francis Murtagh | 0d9d419 | 2018-10-09 16:22:33 +0100 | [diff] [blame] | 217 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 218 | { |
| 219 | NeonCreateConvolution2dWorkloadTest<NeonConvolution2dFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 220 | } |
| 221 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 222 | template <typename FullyConnectedWorkloadType, typename armnn::DataType DataType> |
| 223 | static void NeonCreateFullyConnectedWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 224 | { |
| 225 | Graph graph; |
| 226 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 227 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, |
| 228 | DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 229 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 230 | // 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] | 231 | FullyConnectedQueueDescriptor queueDescriptor = workload->GetData(); |
| 232 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 233 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 234 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 1, 4, 5}, DataType))); |
| 235 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 7}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 236 | } |
| 237 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 238 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 239 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat16Workload) |
| 240 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 241 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 242 | } |
| 243 | #endif |
| 244 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 245 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 246 | { |
kevmay01 | e448be3 | 2018-09-26 10:21:55 +0100 | [diff] [blame] | 247 | NeonCreateFullyConnectedWorkloadTest<NeonFullyConnectedWorkload, DataType::Float32>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 248 | } |
| 249 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 250 | template <typename NormalizationWorkloadType, typename armnn::DataType DataType> |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 251 | static void NeonCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 252 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 253 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 254 | NeonWorkloadFactory factory; |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 255 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 256 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 257 | // 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] | 258 | NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 259 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 260 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 261 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 5, 5, 1}, DataType))); |
| 262 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 5, 5, 1}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 263 | } |
| 264 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 265 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 266 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 267 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 268 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 269 | } |
| 270 | |
| 271 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload) |
| 272 | { |
| 273 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 274 | } |
| 275 | #endif |
| 276 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 277 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 278 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 279 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 280 | } |
| 281 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 282 | BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload) |
| 283 | { |
| 284 | NeonCreateNormalizationWorkloadTest<NeonNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 285 | } |
| 286 | |
| 287 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 288 | template <typename Pooling2dWorkloadType, typename armnn::DataType DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 289 | static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 290 | { |
| 291 | Graph graph; |
| 292 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 293 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType> |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 294 | (factory, graph, dataLayout); |
| 295 | |
| 296 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2}; |
| 297 | 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] | 298 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 299 | // 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] | 300 | Pooling2dQueueDescriptor queueDescriptor = workload->GetData(); |
| 301 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 302 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 303 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 304 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 305 | } |
| 306 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 307 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 308 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload) |
| 309 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 310 | NeonCreatePooling2dWorkloadTest<NeonPooling2dFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 311 | } |
| 312 | #endif |
| 313 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 314 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 315 | { |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 316 | NeonCreatePooling2dWorkloadTest<NeonPooling2dFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 317 | } |
| 318 | |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 319 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 320 | { |
Nina Drozd | b48e686 | 2018-10-09 12:09:56 +0100 | [diff] [blame] | 321 | NeonCreatePooling2dWorkloadTest<NeonPooling2dFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 322 | } |
| 323 | |
| 324 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload) |
| 325 | { |
| 326 | NeonCreatePooling2dWorkloadTest<NeonPooling2dUint8Workload, DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 327 | } |
| 328 | |
| 329 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 330 | { |
| 331 | NeonCreatePooling2dWorkloadTest<NeonPooling2dUint8Workload, DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 332 | } |
| 333 | |
| 334 | template <typename ReshapeWorkloadType, typename armnn::DataType DataType> |
| 335 | static void NeonCreateReshapeWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 336 | { |
| 337 | Graph graph; |
| 338 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 339 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 340 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 341 | // 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] | 342 | ReshapeQueueDescriptor queueDescriptor = workload->GetData(); |
| 343 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 344 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 345 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 346 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({1, 4}, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 347 | } |
| 348 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 349 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 350 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat16Workload) |
| 351 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 352 | NeonCreateReshapeWorkloadTest<NeonReshapeFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 353 | } |
| 354 | #endif |
| 355 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 356 | BOOST_AUTO_TEST_CASE(CreateReshapeFloatWorkload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 357 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 358 | NeonCreateReshapeWorkloadTest<NeonReshapeFloatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 359 | } |
| 360 | |
| 361 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 362 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 363 | NeonCreateReshapeWorkloadTest<NeonReshapeUint8Workload, DataType::QuantisedAsymm8>(); |
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 | template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> |
| 367 | static void NeonCreateSoftmaxWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 368 | { |
| 369 | Graph graph; |
| 370 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 371 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 372 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 373 | // 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] | 374 | SoftmaxQueueDescriptor queueDescriptor = workload->GetData(); |
| 375 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 376 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 377 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({4, 1}, DataType))); |
| 378 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({4, 1}, DataType))); |
| 379 | } |
| 380 | |
| 381 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 382 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat16Workload) |
| 383 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 384 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float16>(); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 385 | } |
| 386 | #endif |
| 387 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 388 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloatWorkload) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 389 | { |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 390 | NeonCreateSoftmaxWorkloadTest<NeonSoftmaxFloatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 391 | } |
| 392 | |
| 393 | BOOST_AUTO_TEST_CASE(CreateSplitterWorkload) |
| 394 | { |
| 395 | Graph graph; |
| 396 | NeonWorkloadFactory factory; |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 397 | auto workload = CreateSplitterWorkloadTest<NeonSplitterFloatWorkload, DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 398 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 399 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 401 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 402 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({5, 7, 7}, DataType::Float32))); |
| 403 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 404 | auto outputHandle0 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 405 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle0, TensorInfo({1, 7, 7}, DataType::Float32))); |
| 406 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 407 | auto outputHandle1 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[1]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 408 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle1, TensorInfo({2, 7, 7}, DataType::Float32))); |
| 409 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 410 | auto outputHandle2 = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[2]); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 411 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle2, TensorInfo({2, 7, 7}, DataType::Float32))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 412 | } |
| 413 | |
| 414 | BOOST_AUTO_TEST_CASE(CreateSplitterMerger) |
| 415 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 416 | // Tests that it is possible to decide which output of the splitter layer |
| 417 | // should be lined to which input of the merger layer. |
| 418 | // We tested that is is possible to specify 0th output |
| 419 | // 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] | 420 | // of the merger. |
| 421 | |
| 422 | Graph graph; |
| 423 | NeonWorkloadFactory factory; |
| 424 | |
| 425 | auto workloads = |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 426 | CreateSplitterMergerWorkloadTest<NeonSplitterFloatWorkload, NeonMergerFloatWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 427 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 428 | |
| 429 | auto wlSplitter = std::move(workloads.first); |
| 430 | auto wlMerger = std::move(workloads.second); |
| 431 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 432 | //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] | 433 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 434 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 435 | armnn::INeonTensorHandle* mIn0 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 436 | armnn::INeonTensorHandle* mIn1 = dynamic_cast<armnn::INeonTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 437 | |
| 438 | BOOST_TEST(sOut0); |
| 439 | BOOST_TEST(sOut1); |
| 440 | BOOST_TEST(mIn0); |
| 441 | BOOST_TEST(mIn1); |
| 442 | |
| 443 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 444 | |
| 445 | BOOST_TEST(validDataPointers); |
| 446 | } |
| 447 | |
| 448 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputs) |
| 449 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 450 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 451 | // 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] | 452 | |
| 453 | Graph graph; |
| 454 | NeonWorkloadFactory factory; |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 455 | std::unique_ptr<NeonSplitterFloatWorkload> wlSplitter; |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame^] | 456 | std::unique_ptr<NeonActivationWorkload> wlActiv0_0; |
| 457 | std::unique_ptr<NeonActivationWorkload> wlActiv0_1; |
| 458 | std::unique_ptr<NeonActivationWorkload> wlActiv1_0; |
| 459 | std::unique_ptr<NeonActivationWorkload> wlActiv1_1; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 460 | |
arovir01 | 9e53a35 | 2018-08-31 15:26:35 +0100 | [diff] [blame] | 461 | CreateSplitterMultipleInputsOneOutputWorkloadTest<NeonSplitterFloatWorkload, |
Nattapat Chaimanowong | d4b7059 | 2018-10-12 11:21:49 +0100 | [diff] [blame^] | 462 | NeonActivationWorkload, DataType::Float32>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, |
| 463 | wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 464 | |
| 465 | armnn::INeonTensorHandle* sOut0 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 466 | armnn::INeonTensorHandle* sOut1 = dynamic_cast<armnn::INeonTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 467 | armnn::INeonTensorHandle* activ0_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 468 | armnn::INeonTensorHandle* activ0_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 469 | armnn::INeonTensorHandle* activ1_0Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 470 | armnn::INeonTensorHandle* activ1_1Im = dynamic_cast<armnn::INeonTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 471 | |
| 472 | |
| 473 | BOOST_TEST(sOut0); |
| 474 | BOOST_TEST(sOut1); |
| 475 | BOOST_TEST(activ0_0Im); |
| 476 | BOOST_TEST(activ0_1Im); |
| 477 | BOOST_TEST(activ1_0Im); |
| 478 | BOOST_TEST(activ1_1Im); |
| 479 | |
| 480 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 481 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 482 | |
| 483 | BOOST_TEST(validDataPointers); |
| 484 | } |
| 485 | |
| 486 | BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) |
| 487 | { |
| 488 | NeonWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 489 | CreateMemCopyWorkloads<INeonTensorHandle>(factory); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 490 | } |
| 491 | |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 492 | template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> |
| 493 | static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) |
| 494 | { |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 495 | Graph graph; |
| 496 | NeonWorkloadFactory factory; |
| 497 | auto workload = |
| 498 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 499 | |
| 500 | // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
| 501 | L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); |
| 502 | auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 503 | auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); |
Matteo Martincigh | 2400b6d | 2018-10-09 18:19:20 +0100 | [diff] [blame] | 504 | |
| 505 | TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? |
| 506 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 507 | TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? |
| 508 | TensorShape{ 5, 20, 50, 67 } : TensorShape{ 5, 50, 67, 20 }; |
| 509 | |
| 510 | BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); |
| 511 | BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); |
Matteo Martincigh | bcd3c85 | 2018-09-28 14:14:12 +0100 | [diff] [blame] | 512 | } |
| 513 | |
| 514 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 515 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) |
| 516 | { |
| 517 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); |
| 518 | } |
| 519 | |
| 520 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) |
| 521 | { |
| 522 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); |
| 523 | } |
| 524 | #endif |
| 525 | |
| 526 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) |
| 527 | { |
| 528 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); |
| 529 | } |
| 530 | |
| 531 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) |
| 532 | { |
| 533 | NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); |
| 534 | } |
| 535 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 536 | BOOST_AUTO_TEST_SUITE_END() |