1 files changed, 0 insertions, 122 deletions
diff --git a/src/armnnCaffeParser/test/TestInputs.cpp b/src/armnnCaffeParser/test/TestInputs.cpp
deleted file mode 100644
index 96d8e2b8af..0000000000
--- a/src/armnnCaffeParser/test/TestInputs.cpp
+++ /dev/null
@@ -1,122 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include <boost/test/unit_test.hpp>
-#include "armnnCaffeParser/ICaffeParser.hpp"
-#include "armnn/IRuntime.hpp"
-#include "armnn/INetwork.hpp"
-#include "armnn/Exceptions.hpp"
-
-#include "test/TensorHelpers.hpp"
-
-#include <string>
-
-#include "ParserPrototxtFixture.hpp"
-
-BOOST_AUTO_TEST_SUITE(CaffeParser)
-
-
-BOOST_AUTO_TEST_CASE(InputShapes)
-{
-    std::string explicitInput = "name: \"Minimal\"\n"
-                                "layer {\n"
-                                "  name: \"data\"\n"
-                                "  type: \"Input\"\n"
-                                "  top: \"data\"\n"
-                                "  input_param { shape: { dim: 1 dim: 2 dim: 3 dim: 4 } }\n"
-                                "}";
-    std::string implicitInput = "name: \"Minimal\"\n"
-                                "input: \"data\" \n"
-                                "input_dim: 1 \n"
-                                "input_dim: 2 \n"
-                                "input_dim: 3 \n"
-                                "input_dim: 4 \n";
-    std::string implicitInputNoShape = "name: \"Minimal\"\n"
-                                       "input: \"data\" \n";
-
-    armnn::IRuntime::CreationOptions options;
-    armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
-    armnnCaffeParser::ICaffeParserPtr parser(armnnCaffeParser::ICaffeParser::Create());
-    armnn::INetworkPtr network(nullptr, nullptr);
-    armnn::NetworkId netId;
-
-    // Check everything works normally
-    std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
-    {
-        network = parser->CreateNetworkFromString(explicitInput.c_str(), {}, { "data" });
-        BOOST_TEST(network.get());
-        runtime->LoadNetwork(netId, Optimize(*network, backends, runtime->GetDeviceSpec()));
-
-        armnnCaffeParser::BindingPointInfo inputBindingInfo = parser->GetNetworkInputBindingInfo("data");
-        armnn::TensorInfo inputTensorInfo = inputBindingInfo.second;
-        BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));
-
-        BOOST_TEST(inputTensorInfo.GetShape()[0] == 1);
-        BOOST_TEST(inputTensorInfo.GetShape()[1] == 2);
-        BOOST_TEST(inputTensorInfo.GetShape()[2] == 3);
-        BOOST_TEST(inputTensorInfo.GetShape()[3] == 4);
-    }
-
-    // Checks everything works with implicit input.
-    {
-        network = parser->CreateNetworkFromString(implicitInput.c_str(), {}, { "data" });
-        BOOST_TEST(network.get());
-        runtime->LoadNetwork(netId, Optimize(*network, backends, runtime->GetDeviceSpec()));
-
-        armnnCaffeParser::BindingPointInfo inputBindingInfo = parser->GetNetworkInputBindingInfo("data");
-        armnn::TensorInfo inputTensorInfo = inputBindingInfo.second;
-        BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));
-
-        BOOST_TEST(inputTensorInfo.GetShape()[0] == 1);
-        BOOST_TEST(inputTensorInfo.GetShape()[1] == 2);
-        BOOST_TEST(inputTensorInfo.GetShape()[2] == 3);
-        BOOST_TEST(inputTensorInfo.GetShape()[3] == 4);
-    }
-
-    // Checks everything works with implicit and passing shape.
-    {
-        network = parser->CreateNetworkFromString(implicitInput.c_str(), { {"data", { 2, 2, 3, 4 } } }, { "data" });
-        BOOST_TEST(network.get());
-        runtime->LoadNetwork(netId, Optimize(*network, backends, runtime->GetDeviceSpec()));
-
-        armnnCaffeParser::BindingPointInfo inputBindingInfo = parser->GetNetworkInputBindingInfo("data");
-        armnn::TensorInfo inputTensorInfo = inputBindingInfo.second;
-        BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));
-
-        BOOST_TEST(inputTensorInfo.GetShape()[0] == 2);
-        BOOST_TEST(inputTensorInfo.GetShape()[1] == 2);
-        BOOST_TEST(inputTensorInfo.GetShape()[2] == 3);
-        BOOST_TEST(inputTensorInfo.GetShape()[3] == 4);
-    }
-
-    // Checks everything works with implicit (no shape) and passing shape.
-    {
-        network = parser->CreateNetworkFromString(implicitInputNoShape.c_str(), {{"data", {2, 2, 3, 4} }}, { "data" });
-        BOOST_TEST(network.get());
-        runtime->LoadNetwork(netId, Optimize(*network, backends, runtime->GetDeviceSpec()));
-
-        armnnCaffeParser::BindingPointInfo inputBindingInfo = parser->GetNetworkInputBindingInfo("data");
-        armnn::TensorInfo inputTensorInfo = inputBindingInfo.second;
-        BOOST_TEST((inputTensorInfo == runtime->GetInputTensorInfo(netId, inputBindingInfo.first)));
-
-        BOOST_TEST(inputTensorInfo.GetShape()[0] == 2);
-        BOOST_TEST(inputTensorInfo.GetShape()[1] == 2);
-        BOOST_TEST(inputTensorInfo.GetShape()[2] == 3);
-        BOOST_TEST(inputTensorInfo.GetShape()[3] == 4);
-    }
-
-    // Checks exception on incompatible shapes.
-    {
-        BOOST_CHECK_THROW(parser->CreateNetworkFromString(implicitInput.c_str(), {{"data",{ 2, 2, 3, 2 }}}, {"data"}),
-            armnn::ParseException);
-    }
-
-    // Checks exception when no shape available.
-    {
-        BOOST_CHECK_THROW(parser->CreateNetworkFromString(implicitInputNoShape.c_str(), {}, { "data" }),
-            armnn::ParseException);
-    }
-}
-
-BOOST_AUTO_TEST_SUITE_END()