| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "OperationsUtils.h" |
| |
| #include "../DriverTestHelpers.hpp" |
| #include "../TestTensor.hpp" |
| |
| #include "../1.1/HalPolicy.hpp" |
| |
| #include <boost/test/unit_test.hpp> |
| #include <boost/test/data/test_case.hpp> |
| |
| #include <log/log.h> |
| |
| #include <array> |
| #include <cmath> |
| |
| BOOST_AUTO_TEST_SUITE(TransposeTests) |
| |
| using namespace android::hardware; |
| using namespace driverTestHelpers; |
| using namespace armnn_driver; |
| |
| using HalPolicy = hal_1_1::HalPolicy; |
| |
| namespace |
| { |
| |
| #ifndef ARMCOMPUTECL_ENABLED |
| static const std::array<armnn::Compute, 1> COMPUTE_DEVICES = {{ armnn::Compute::CpuRef }}; |
| #else |
| static const std::array<armnn::Compute, 2> COMPUTE_DEVICES = {{ armnn::Compute::CpuRef, armnn::Compute::GpuAcc }}; |
| #endif |
| |
| void TransposeTestImpl(const TestTensor & inputs, int32_t perm[], |
| const TestTensor & expectedOutputTensor, armnn::Compute computeDevice) |
| { |
| auto driver = std::make_unique<ArmnnDriver>(DriverOptions(computeDevice)); |
| HalPolicy::Model model = {}; |
| |
| AddInputOperand<HalPolicy>(model,inputs.GetDimensions()); |
| |
| AddTensorOperand<HalPolicy>(model, |
| hidl_vec<uint32_t>{4}, |
| perm, |
| HalPolicy::OperandType::TENSOR_INT32); |
| |
| AddOutputOperand<HalPolicy>(model, expectedOutputTensor.GetDimensions()); |
| |
| model.operations.resize(1); |
| model.operations[0].type = HalPolicy::OperationType::TRANSPOSE; |
| model.operations[0].inputs = hidl_vec<uint32_t>{0, 1}; |
| model.operations[0].outputs = hidl_vec<uint32_t>{2}; |
| |
| android::sp<V1_0::IPreparedModel> preparedModel = PrepareModel(model, *driver); |
| |
| // the request's memory pools will follow the same order as |
| // the inputs |
| DataLocation inloc = {}; |
| inloc.poolIndex = 0; |
| inloc.offset = 0; |
| inloc.length = inputs.GetNumElements() * sizeof(float); |
| RequestArgument input = {}; |
| input.location = inloc; |
| input.dimensions = inputs.GetDimensions(); |
| |
| // and an additional memory pool is needed for the output |
| DataLocation outloc = {}; |
| outloc.poolIndex = 1; |
| outloc.offset = 0; |
| outloc.length = expectedOutputTensor.GetNumElements() * sizeof(float); |
| RequestArgument output = {}; |
| output.location = outloc; |
| output.dimensions = expectedOutputTensor.GetDimensions(); |
| |
| // make the request based on the arguments |
| V1_0::Request request = {}; |
| request.inputs = hidl_vec<RequestArgument>{input}; |
| request.outputs = hidl_vec<RequestArgument>{output}; |
| |
| // set the input data |
| AddPoolAndSetData(inputs.GetNumElements(), |
| request, |
| inputs.GetData()); |
| |
| // add memory for the output |
| android::sp<IMemory> outMemory = AddPoolAndGetData<float>(expectedOutputTensor.GetNumElements(), request); |
| float* outdata = static_cast<float*>(static_cast<void*>(outMemory->getPointer())); |
| |
| if (preparedModel.get() != nullptr) |
| { |
| auto execStatus = Execute(preparedModel, request); |
| } |
| |
| const float * expectedOutput = expectedOutputTensor.GetData(); |
| for (unsigned int i = 0; i < expectedOutputTensor.GetNumElements(); ++i) |
| { |
| BOOST_TEST(outdata[i] == expectedOutput[i]); |
| } |
| } |
| |
| } // namespace |
| |
| BOOST_DATA_TEST_CASE(Transpose , COMPUTE_DEVICES) |
| { |
| int32_t perm[] = {2, 3, 1, 0}; |
| TestTensor input{armnn::TensorShape{1, 2, 2, 2},{1, 2, 3, 4, 5, 6, 7, 8}}; |
| TestTensor expected{armnn::TensorShape{2, 2, 2, 1},{1, 5, 2, 6, 3, 7, 4, 8}}; |
| |
| TransposeTestImpl(input, perm, expected, sample); |
| } |
| |
| BOOST_DATA_TEST_CASE(TransposeNHWCToArmNN , COMPUTE_DEVICES) |
| { |
| int32_t perm[] = {0, 3, 1, 2}; |
| TestTensor input{armnn::TensorShape{1, 2, 2, 3},{1, 2, 3, 11, 12, 13, 21, 22, 23, 31, 32, 33}}; |
| TestTensor expected{armnn::TensorShape{1, 3, 2, 2},{1, 11, 21, 31, 2, 12, 22, 32, 3, 13, 23, 33}}; |
| |
| TransposeTestImpl(input, perm, expected, sample); |
| } |
| |
| BOOST_DATA_TEST_CASE(TransposeArmNNToNHWC , COMPUTE_DEVICES) |
| { |
| int32_t perm[] = {0, 2, 3, 1}; |
| TestTensor input{armnn::TensorShape{1, 2, 2, 2},{1, 2, 3, 4, 5, 6, 7, 8}}; |
| TestTensor expected{armnn::TensorShape{1, 2, 2, 2},{1, 5, 2, 6, 3, 7, 4, 8}}; |
| |
| TransposeTestImpl(input, perm, expected, sample); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| |