1 files changed, 0 insertions, 180 deletions
diff --git a/src/armnnTfParser/test/AddN.cpp b/src/armnnTfParser/test/AddN.cpp
deleted file mode 100644
index 16b1124e24..0000000000
--- a/src/armnnTfParser/test/AddN.cpp
+++ /dev/null
@@ -1,180 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include <armnn/utility/Assert.hpp>
-#include <boost/test/unit_test.hpp>
-
-#include "armnnTfParser/ITfParser.hpp"
-#include "ParserPrototxtFixture.hpp"
-
-#include <map>
-#include <string>
-
-
-BOOST_AUTO_TEST_SUITE(TensorflowParser)
-
-struct AddNFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
-{
-    AddNFixture(const std::vector<armnn::TensorShape> inputShapes, unsigned int numberOfInputs)
-    {
-        ARMNN_ASSERT(inputShapes.size() == numberOfInputs);
-        m_Prototext = "";
-        for (unsigned int i = 0; i < numberOfInputs; i++)
-        {
-            m_Prototext.append("node { \n");
-            m_Prototext.append("  name: \"input").append(std::to_string(i)).append("\"\n");
-            m_Prototext += R"(  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-      }
-    }
-  }
-}
-)";
-        }
-        m_Prototext += R"(node {
-  name:  "output"
-  op: "AddN"
-)";
-        for (unsigned int i = 0; i < numberOfInputs; i++)
-        {
-            m_Prototext.append("  input: \"input").append(std::to_string(i)).append("\"\n");
-        }
-        m_Prototext += R"(  attr {
-    key: "N"
-    value {
-)";
-        m_Prototext.append("      i: ").append(std::to_string(numberOfInputs)).append("\n");
-        m_Prototext += R"(    }
-  }
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-})";
-
-        std::map<std::string, armnn::TensorShape> inputs;
-        for (unsigned int i = 0; i < numberOfInputs; i++)
-        {
-            std::string name("input");
-            name.append(std::to_string(i));
-            inputs.emplace(std::make_pair(name, inputShapes[i]));
-        }
-        Setup(inputs, {"output"});
-    }
-
-};
-
-// try with 2, 3, 5 and 8 inputs
-struct FiveTwoDimInputsFixture : AddNFixture
-{
-    FiveTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 } }, 5) {}
-};
-
-
-BOOST_FIXTURE_TEST_CASE(FiveTwoDimInputs, FiveTwoDimInputsFixture)
-{
-    RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } },
-                 { "input1", { 1.0, 5.0, 2.0, 2.0 } },
-                 { "input2", { 1.0, 1.0, 2.0, 2.0 } },
-                 { "input3", { 3.0, 7.0, 1.0, 2.0 } },
-                 { "input4", { 8.0, 0.0, -2.0, -3.0 } } },
-               { { "output", { 14.0, 15.0, 6.0, 7.0 } } });
-}
-
-struct TwoTwoDimInputsFixture : AddNFixture
-{
-    TwoTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 } }, 2) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(TwoTwoDimInputs, TwoTwoDimInputsFixture)
-{
-    RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } },
-                 { "input1", { 1.0, 5.0, 2.0, 2.0 } } },
-               { { "output", { 2.0, 7.0, 5.0, 6.0 } } });
-}
-
-struct ThreeTwoDimInputsFixture : AddNFixture
-{
-    ThreeTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 } }, 3) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(ThreeTwoDimInputs, ThreeTwoDimInputsFixture)
-{
-    RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } },
-                 { "input1", { 1.0, 5.0, 2.0, 2.0 } },
-                 { "input2", { 1.0, 1.0, 2.0, 2.0 } } },
-               { { "output", { 3.0, 8.0, 7.0, 8.0 } } });
-}
-
-struct EightTwoDimInputsFixture : AddNFixture
-{
-    EightTwoDimInputsFixture() : AddNFixture({ { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 },
-                                               { 2, 2 }, { 2, 2 }, { 2, 2 }, { 2, 2 } }, 8) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(EightTwoDimInputs, EightTwoDimInputsFixture)
-{
-    RunTest<2>({ { "input0", { 1.0, 2.0, 3.0, 4.0 } },
-                 { "input1", { 1.0, 5.0, 2.0, 2.0 } },
-                 { "input2", { 1.0, 1.0, 2.0, 2.0 } },
-                 { "input3", { 3.0, 7.0, 1.0, 2.0 } },
-                 { "input4", { 8.0, 0.0, -2.0, -3.0 } },
-                 { "input5", {-3.0, 2.0, -1.0, -5.0 } },
-                 { "input6", { 1.0, 6.0, 2.0, 2.0 } },
-                 { "input7", {-19.0, 7.0, 1.0, -10.0 } } },
-               { { "output", {-7.0, 30.0, 8.0, -6.0 } } });
-}
-
-struct ThreeInputBroadcast1D4D4DInputsFixture : AddNFixture
-{
-    ThreeInputBroadcast1D4D4DInputsFixture() : AddNFixture({ { 1 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 } }, 3) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(ThreeInputBroadcast1D4D4DInputs, ThreeInputBroadcast1D4D4DInputsFixture)
-{
-    RunTest<4>({ { "input0", { 1.0 } },
-                 { "input1", { 1.0, 5.0, 2.0, 2.0 } },
-                 { "input2", { 1.0, 1.0, 2.0, 2.0 } } },
-               { { "output", { 3.0, 7.0, 5.0, 5.0 } } });
-}
-
-struct ThreeInputBroadcast4D1D4DInputsFixture : AddNFixture
-{
-    ThreeInputBroadcast4D1D4DInputsFixture() : AddNFixture({ { 1, 1, 2, 2 }, { 1 }, { 1, 1, 2, 2 } }, 3) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(ThreeInputBroadcast4D1D4DInputs, ThreeInputBroadcast4D1D4DInputsFixture)
-{
-    RunTest<4>({ { "input0", { 1.0, 3.0, 9.0, 4.0 } },
-                 { "input1", {-2.0 } },
-                 { "input2", { 1.0, 1.0, 2.0, 2.0 } } },
-               { { "output", { 0.0, 2.0, 9.0, 4.0 } } });
-}
-
-struct ThreeInputBroadcast4D4D1DInputsFixture : AddNFixture
-{
-    ThreeInputBroadcast4D4D1DInputsFixture() : AddNFixture({ { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1 } }, 3) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(ThreeInputBroadcast4D4D1DInputs, ThreeInputBroadcast4D4D1DInputsFixture)
-{
-    RunTest<4>({ { "input0", { 1.0, 5.0, 2.0, 2.0 } },
-                 { "input1", { 1.0, 1.0, 2.0, 2.0 } },
-                 { "input2", { 1.0 } } },
-               { { "output", { 3.0, 7.0, 5.0, 5.0 } } });
-}
-
-BOOST_AUTO_TEST_SUITE_END()