Removed no longer used source file
Change-Id: I8f90179ed85a8253785b574499c2f9f4898069d4
diff --git a/Convolution2D.cpp b/Convolution2D.cpp
deleted file mode 100644
index a849195..0000000
--- a/Convolution2D.cpp
+++ /dev/null
@@ -1,110 +0,0 @@
-//
-// 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()