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Diffstat (limited to 'Convolution2D.cpp')
-rw-r--r-- | Convolution2D.cpp | 110 |
1 files changed, 110 insertions, 0 deletions
diff --git a/Convolution2D.cpp b/Convolution2D.cpp new file mode 100644 index 00000000..a8491955 --- /dev/null +++ b/Convolution2D.cpp @@ -0,0 +1,110 @@ +// +// 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() |