1 files changed, 0 insertions, 133 deletions
diff --git a/src/armnnCaffeParser/test/TestConvolution.cpp b/src/armnnCaffeParser/test/TestConvolution.cpp
deleted file mode 100644
index b881f1f58f..0000000000
--- a/src/armnnCaffeParser/test/TestConvolution.cpp
+++ /dev/null
@@ -1,133 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include <boost/test/unit_test.hpp>
-#include "armnnCaffeParser/ICaffeParser.hpp"
-#include "ParserPrototxtFixture.hpp"
-#include <sstream>
-#include <initializer_list>
-
-namespace
-{
-
-template <typename T>
-std::string TaggedSequence(const std::string & tag, const std::initializer_list<T> & data)
-{
-    bool first = true;
-    std::stringstream ss;
-    for (auto && d : data)
-    {
-        if (!first)
-        {
-            ss << " , ";
-        }
-        else
-        {
-            first = false;
-        }
-        ss << " " << tag << " : " << d << " ";
-    }
-    return ss.str();
-}
-
-template <typename T>
-std::string TaggedSequence(const std::string & tag, T data, unsigned int n)
-{
-    std::stringstream ss;
-    for (unsigned int i=0; i<n; ++i)
-    {
-        if (i>0)
-        {
-            ss << " , ";
-        }
-        ss << " " << tag << " : " << data << " ";
-    }
-    return ss.str();
-}
-
-} // namespace <anonymous>
-
-BOOST_AUTO_TEST_SUITE(CaffeParser)
-
-struct ConvolutionFixture : public armnnUtils::ParserPrototxtFixture<armnnCaffeParser::ICaffeParser>
-{
-    ConvolutionFixture(const std::initializer_list<unsigned int> & inputDims,
-                       const std::initializer_list<float> & filterData,
-                       unsigned int kernelSize,
-                       unsigned int numOutput=1,
-                       unsigned int group=1)
-    {
-        m_Prototext = R"(
-            name: "ConvolutionTest"
-            layer {
-                name: "input1"
-                type: "Input"
-                top: "input1"
-                input_param { shape: { )" + TaggedSequence("dim", inputDims) + R"( } }
-            }
-            layer {
-                name: "conv1"
-                type: "Convolution"
-                bottom: "input1"
-                top: "conv1"
-                blobs: { )" + TaggedSequence("data", filterData) + R"( }
-                blobs: { )" + TaggedSequence("data", 0, numOutput) + R"( }
-                convolution_param {
-                    num_output: )" + std::to_string(numOutput) + R"(
-                    pad: 0
-                    kernel_size: )" +  std::to_string(kernelSize) + R"(
-                    stride: 1
-                    group: )" +  std::to_string(group) + R"(
-                }
-            }
-        )";
-        SetupSingleInputSingleOutput("input1", "conv1");
-    }
-};
-
-struct SimpleConvolutionFixture : public ConvolutionFixture
-{
-    SimpleConvolutionFixture()
-    : ConvolutionFixture( {1, 1, 2, 2}, {1.0f, 1.0f, 1.0f, 1.0f}, 2)
-    {
-    }
-};
-
-BOOST_FIXTURE_TEST_CASE(SimpleConvolution, SimpleConvolutionFixture)
-{
-    RunTest<4>({ 1, 3, 5, 7 }, { 16 });
-}
-
-struct GroupConvolutionFixture : public ConvolutionFixture
-{
-    GroupConvolutionFixture()
-    : ConvolutionFixture(
-        {1, 2, 2, 2},
-        {
-            1.0f, 1.0f, 1.0f, 1.0f, // filter for channel #0
-            2.0f, 2.0f, 2.0f, 2.0f  // filter for channel #1
-        },
-        2, // kernel size is 2x2
-        2, // number of output channels is 2
-        2) // number of groups (separate filters)
-    {
-    }
-};
-
-BOOST_FIXTURE_TEST_CASE(GroupConvolution, GroupConvolutionFixture)
-{
-    RunTest<4>(
-        {
-            1, 2, 3, 4, // input channel #0
-            5, 6, 7, 8, // input channel #1
-        },
-        {
-            10, // convolution result for channel #0 applying filter #0
-            52  // same for channel #1 and filter #1
-        }
-    );
-}
-
-
-BOOST_AUTO_TEST_SUITE_END()
-\ No newline at end of file