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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "moco/Import/Nodes/Mean.h"
#include "TestHelper.h"
#include <gtest/gtest.h>
using namespace moco::test;
namespace
{
// clang-format off
const char *mean_true_pbtxtdata = STRING_CONTENT(
name: "Mean"
op: "Mean"
input: "Placeholder"
input: "Const"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "Tidx"
value { type: DT_INT32 }
}
attr {
key: "keep_dims"
value { b: true }
}
);
// clang-format on
} // namespace
TEST(TensorFlowImport, mean_true)
{
TFNodeBuildTester tester;
moco::MeanGraphBuilder graphbuilder;
tensorflow::NodeDef nodedef;
EXPECT_TRUE(plier::tf::parse_nodedef(mean_true_pbtxtdata, nodedef));
// what to test:
// - there should exist TFMean
// - input node should not be nullptr
// - reduction_indeces node should not be nullptr
// - keep_dims attribute is set same as pbtxt
tester.inputs({"Placeholder", "Const"});
tester.output("Mean");
tester.run(nodedef, graphbuilder);
auto test_node = dynamic_cast<moco::TFMean *>(tester.output());
ASSERT_NE(test_node, nullptr);
ASSERT_EQ(test_node->keep_dims(), true);
}
namespace
{
// clang-format off
const char *mean_false_pbtxtdata = STRING_CONTENT(
name: "Mean"
op: "Mean"
input: "Placeholder"
input: "Const"
attr {
key: "T"
value { type: DT_FLOAT }
}
attr {
key: "Tidx"
value { type: DT_INT32 }
}
attr {
key: "keep_dims"
value { b: false }
}
);
// clang-format on
} // namespace
TEST(TensorFlowImport, mean_false)
{
TFNodeBuildTester tester;
moco::MeanGraphBuilder graphbuilder;
tensorflow::NodeDef nodedef;
EXPECT_TRUE(plier::tf::parse_nodedef(mean_false_pbtxtdata, nodedef));
// what to test:
// - there should exist TFMean
// - input node should not be nullptr
// - reduction_indeces node should not be nullptr
// - keep_dims attribute is set same as pbtxt
tester.inputs({"Placeholder", "Const"});
tester.output("Mean");
tester.run(nodedef, graphbuilder);
auto test_node = dynamic_cast<moco::TFMean *>(tester.output());
ASSERT_NE(test_node, nullptr);
ASSERT_EQ(test_node->keep_dims(), false);
}
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