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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/Placeholder.h"
#include "TestHelper.h"
#include <gtest/gtest.h>
using namespace moco::test;
namespace
{
// clang-format off
const char *known_batch_pbtxt = STRING_CONTENT(
name: "placeholder"
op: "Placeholder"
attr {
key: "dtype" value { type: DT_FLOAT }
}
attr {
key: "shape"
value {
shape {
dim { size: 1024 }
dim { size: 2 }
dim { size: 3 }
dim { size: 4 }
}
}
}
);
// clang-format on
} // namespace
TEST(TensorFlowImport, placeholder_knwon_batch)
{
TFNodeBuildTester tester;
moco::PlaceholderGraphBuilder graphbuilder;
tensorflow::NodeDef nodedef;
EXPECT_TRUE(plier::tf::parse_nodedef(known_batch_pbtxt, nodedef));
// what to test:
// - TFPlaceholder node should exist
// - shape attribute should match
tester.inputs({});
tester.output("placeholder");
tester.run(nodedef, graphbuilder);
auto test_node = dynamic_cast<moco::TFPlaceholder *>(tester.output());
assert(test_node != nullptr);
ASSERT_TRUE(test_node->dim(0).known() && test_node->dim(0).value() == 1024);
ASSERT_TRUE(test_node->dim(1).known() && test_node->dim(1).value() == 2);
ASSERT_TRUE(test_node->dim(2).known() && test_node->dim(2).value() == 3);
ASSERT_TRUE(test_node->dim(3).known() && test_node->dim(3).value() == 4);
}
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