1 files changed, 0 insertions, 178 deletions
diff --git a/src/armnnTfParser/test/Mean.cpp b/src/armnnTfParser/test/Mean.cpp
deleted file mode 100644
index d73682961f..0000000000
--- a/src/armnnTfParser/test/Mean.cpp
+++ /dev/null
@@ -1,178 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "armnnTfParser/ITfParser.hpp"
-
-#include <ParserPrototxtFixture.hpp>
-#include <PrototxtConversions.hpp>
-
-#include <boost/test/unit_test.hpp>
-
-BOOST_AUTO_TEST_SUITE(TensorflowParser)
-
-struct MeanFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
-{
-    explicit MeanFixture(const armnn::TensorShape& inputShape, const armnn::TensorShape& outputShape,
-                         const std::vector<unsigned int>& axis, bool keepDims)
-    {
-        std::string protobufAxisString;
-        std::vector<unsigned int> protobufAxis(axis);
-
-        // If no axis range is specified, the reduction is applied to
-        // all dimensions of the input tensor
-        if (protobufAxis.size() == 0)
-        {
-            for (unsigned int i = 0; i < inputShape.GetNumDimensions(); ++i)
-            {
-                protobufAxis.push_back(i);
-            }
-        }
-
-        for (unsigned int i = 0; i < protobufAxis.size(); ++i)
-        {
-            protobufAxisString.append(armnnUtils::ConvertInt32ToOctalString(static_cast<int>(protobufAxis[i])));
-        }
-
-        m_Prototext = R"(node {
-              name: "input"
-              op: "Placeholder"
-              attr {
-              key: "dtype"
-                value {
-                  type: DT_FLOAT
-                }
-              }
-              attr {
-                key: "shape"
-                value {
-                  shape {
-                  }
-                }
-              }
-            }
-            node {
-              name: "Const"
-              op: "Const"
-              attr {
-                key: "dtype"
-                value {
-                  type: DT_INT32
-                }
-              }
-              attr {
-                key: "value"
-                value { )";
-
-        if (axis.size() == 1)
-        {
-            m_Prototext.append(R"(      tensor {
-                    dtype: DT_INT32
-                    tensor_shape {
-                    }
-                    int_val: )").append(std::to_string(protobufAxis[0])).append(R"(
-                  } )");
-        }
-        else
-        {
-            m_Prototext.append(R"(      tensor {
-                    dtype: DT_INT32
-                    tensor_shape {
-                      dim {
-                        size: 2
-                      }
-                    }
-                    tensor_content: ")").append(protobufAxisString).append(R"("
-                  } )");
-        }
-
-        m_Prototext.append(R"(    }
-              }
-            }
-            node {
-              name: "output"
-              op: "Mean"
-              input: "input"
-              input: "Const"
-              attr {
-                key: "T"
-                value {
-                  type: DT_FLOAT
-                }
-              }
-              attr {
-                key: "Tidx"
-                  value {
-                    type: DT_INT32
-                }
-             }
-             attr {
-               key: "keep_dims"
-                 value {
-                   b: )").append(keepDims ? "true" : "false").append(R"(
-               }
-             }
-            })");
-
-        SetupSingleInputSingleOutput(inputShape, outputShape, "input", "output");
-    }
-};
-
-struct MeanNoAxisNoKeepDimsFixture: MeanFixture
-{
-    MeanNoAxisNoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 1 }, {}, false) {}
-};
-
-struct MeanWithAxis0NoKeepDimsFixture: MeanFixture
-{
-    MeanWithAxis0NoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 3 }, { 0 }, false) {}
-};
-
-struct MeanWithAxis1NoKeepDimsFixture: MeanFixture
-{
-    MeanWithAxis1NoKeepDimsFixture() : MeanFixture({ 2, 3 }, { 2 }, { 1 }, false) {}
-};
-
-struct MeanWithAxis0KeepDimsFixture: MeanFixture
-{
-    MeanWithAxis0KeepDimsFixture() : MeanFixture({ 2, 3 }, { 1, 3 }, { 0 }, true) {}
-};
-
-struct MeanWithAxis1KeepDimsFixture: MeanFixture
-{
-    MeanWithAxis1KeepDimsFixture() : MeanFixture({ 2, 3 }, { 2, 1 }, { 1 }, true) {}
-};
-
-
-BOOST_FIXTURE_TEST_CASE(MeanNoAxisNoKeepDims, MeanNoAxisNoKeepDimsFixture)
-{
-    RunTest<1>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },
-               { { "output", { 1.5f } } });
-}
-
-BOOST_FIXTURE_TEST_CASE(MeanWithAxis0NoKeepDims, MeanWithAxis0NoKeepDimsFixture)
-{
-    RunTest<1>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },
-               { { "output", { 1.5f, 1.5f, 1.5f } } });
-}
-
-BOOST_FIXTURE_TEST_CASE(MeanWithAxis1NoKeepDims, MeanWithAxis1NoKeepDimsFixture)
-{
-    RunTest<1>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },
-               { { "output", { 1.f, 2.f } } });
-}
-
-BOOST_FIXTURE_TEST_CASE(MeanWithAxis0KeepDims, MeanWithAxis0KeepDimsFixture)
-{
-    RunTest<2>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },
-               { { "output", { 1.5f, 1.5f, 1.5f } } });
-}
-
-BOOST_FIXTURE_TEST_CASE(MeanWithAxis1KeepDims, MeanWithAxis1KeepDimsFixture)
-{
-    RunTest<2>({ { "input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f } } },
-               { { "output", { 1.f, 2.f } } });
-}
-
-BOOST_AUTO_TEST_SUITE_END()