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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#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
{
void PaddingTestImpl(android::nn::PaddingScheme paddingScheme)
{
auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef));
V1_0::Model model = {};
uint32_t outSize = paddingScheme == android::nn::kPaddingSame ? 2 : 1;
// add operands
float weightValue[] = {1, -1, 0, 1};
float biasValue[] = {0};
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 = V1_0::OperationType::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
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[] = {4, 1, 0, 3, -1, 2};
AddPoolAndSetData(6, request, indata);
// add memory for the output
android::sp<IMemory> outMemory = AddPoolAndGetData(outSize, request);
float* outdata = static_cast<float*>(static_cast<void*>(outMemory->getPointer()));
// run the execution
Execute(preparedModel, request);
// check the result
if (paddingScheme == android::nn::kPaddingValid)
{
BOOST_TEST(outdata[0] == 2);
}
else if (paddingScheme == android::nn::kPaddingSame)
{
BOOST_TEST(outdata[0] == 2);
BOOST_TEST(outdata[1] == 0);
}
else
{
BOOST_TEST(false);
}
}
} // namespace <anonymous>
BOOST_AUTO_TEST_CASE(ConvValidPadding)
{
PaddingTestImpl(android::nn::kPaddingValid);
}
BOOST_AUTO_TEST_CASE(ConvSamePadding)
{
PaddingTestImpl(android::nn::kPaddingSame);
}
BOOST_AUTO_TEST_SUITE_END()
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