From d11c52311b338298c1577a0934c6af40bb53d9dc Mon Sep 17 00:00:00 2001
From: Matteo Martincigh <matteo.martincigh@arm.com>
Date: Fri, 14 Sep 2018 12:26:01 +0100
Subject: Removed no longer used source file

Change-Id: I8f90179ed85a8253785b574499c2f9f4898069d4
---
 Convolution2D.cpp | 110 ------------------------------------------------------
 1 file changed, 110 deletions(-)
 delete mode 100644 Convolution2D.cpp

diff --git a/Convolution2D.cpp b/Convolution2D.cpp
deleted file mode 100644
index a8491955..00000000
--- 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()
-- 
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