| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include "DriverTestHelpers.hpp" |
| |
| #include <boost/test/unit_test.hpp> |
| #include <log/log.h> |
| |
| #include <OperationsUtils.h> |
| |
| BOOST_AUTO_TEST_SUITE(Convolution2DTests) |
| |
| using namespace android::hardware; |
| using namespace driverTestHelpers; |
| using namespace armnn_driver; |
| |
| namespace driverTestHelpers |
| { |
| |
| void SetModelFp16Flag(V1_0::Model& model, bool fp16Enabled); |
| |
| #ifdef ARMNN_ANDROID_NN_V1_1 |
| void SetModelFp16Flag(V1_1::Model& model, bool fp16Enabled); |
| #endif |
| |
| template<typename HalPolicy> |
| void PaddingTestImpl(android::nn::PaddingScheme paddingScheme, bool fp16Enabled = false) |
| { |
| using HalModel = typename HalPolicy::Model; |
| using HalOperationType = typename HalPolicy::OperationType; |
| |
| auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::GpuAcc, fp16Enabled)); |
| HalModel model = {}; |
| |
| uint32_t outSize = paddingScheme == android::nn::kPaddingSame ? 2 : 1; |
| |
| // add operands |
| float weightValue[] = {1.f, -1.f, 0.f, 1.f}; |
| float biasValue[] = {0.f}; |
| |
| AddInputOperand(model, hidl_vec<uint32_t>{1, 2, 3, 1}); |
| AddTensorOperand(model, hidl_vec<uint32_t>{1, 2, 2, 1}, weightValue); |
| AddTensorOperand(model, hidl_vec<uint32_t>{1}, biasValue); |
| AddIntOperand(model, (int32_t)paddingScheme); // padding |
| AddIntOperand(model, 2); // stride x |
| AddIntOperand(model, 2); // stride y |
| AddIntOperand(model, 0); // no activation |
| AddOutputOperand(model, hidl_vec<uint32_t>{1, 1, outSize, 1}); |
| |
| // make the convolution operation |
| model.operations.resize(1); |
| model.operations[0].type = HalOperationType::CONV_2D; |
| model.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3, 4, 5, 6}; |
| model.operations[0].outputs = hidl_vec<uint32_t>{7}; |
| |
| // make the prepared model |
| SetModelFp16Flag(model, fp16Enabled); |
| android::sp<IPreparedModel> preparedModel = PrepareModel(model, *driver); |
| |
| // construct the request |
| DataLocation inloc = {}; |
| inloc.poolIndex = 0; |
| inloc.offset = 0; |
| inloc.length = 6 * sizeof(float); |
| RequestArgument input = {}; |
| input.location = inloc; |
| input.dimensions = hidl_vec<uint32_t>{}; |
| |
| DataLocation outloc = {}; |
| outloc.poolIndex = 1; |
| outloc.offset = 0; |
| outloc.length = outSize * sizeof(float); |
| RequestArgument output = {}; |
| output.location = outloc; |
| output.dimensions = hidl_vec<uint32_t>{}; |
| |
| Request request = {}; |
| request.inputs = hidl_vec<RequestArgument>{input}; |
| request.outputs = hidl_vec<RequestArgument>{output}; |
| |
| // set the input data (matching source test) |
| float indata[] = {1024.25f, 1.f, 0.f, 3.f, -1, -1024.25f}; |
| AddPoolAndSetData(6, request, indata); |
| |
| // add memory for the output |
| android::sp<IMemory> outMemory = AddPoolAndGetData(outSize, request); |
| float* outdata = reinterpret_cast<float*>(static_cast<void*>(outMemory->getPointer())); |
| |
| // run the execution |
| Execute(preparedModel, request); |
| |
| // check the result |
| switch (paddingScheme) |
| { |
| case android::nn::kPaddingValid: |
| if (fp16Enabled) |
| { |
| BOOST_TEST(outdata[0] == 1022.f); |
| } |
| else |
| { |
| BOOST_TEST(outdata[0] == 1022.25f); |
| } |
| break; |
| case android::nn::kPaddingSame: |
| if (fp16Enabled) |
| { |
| BOOST_TEST(outdata[0] == 1022.f); |
| BOOST_TEST(outdata[1] == 0.f); |
| } |
| else |
| { |
| BOOST_TEST(outdata[0] == 1022.25f); |
| BOOST_TEST(outdata[1] == 0.f); |
| } |
| break; |
| default: |
| BOOST_TEST(false); |
| break; |
| } |
| } |
| |
| } // namespace driverTestHelpers |
| |
| BOOST_AUTO_TEST_SUITE_END() |