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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/Conv2DBackpropInput.h"
#include "TestHelper.h"
#include <gtest/gtest.h>
using namespace moco::test;
namespace
{
// clang-format off
const char *conv2d_backprop_input_01_pbtxtdata = STRING_CONTENT(
name: "ofm"
op: "Conv2DBackpropInput"
input: "outshape"
input: "weights"
input: "ifm"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
);
// clang-format on
} // namespace
TEST(TensorFlowImport, conv2d_backprop_input_01)
{
TFNodeBuildTester tester;
moco::Conv2DBackpropInputGraphBuilder graphbuilder;
tensorflow::NodeDef nodedef;
EXPECT_TRUE(plier::tf::parse_nodedef(conv2d_backprop_input_01_pbtxtdata, nodedef));
// what to test:
// - All node inputs are valid
// - All attributes are as expected
tester.inputs({"outshape", "weights", "ifm"});
tester.output("ofm");
tester.run(nodedef, graphbuilder);
auto test_node = dynamic_cast<moco::TFConv2DBackpropInput *>(tester.output());
ASSERT_NE(test_node, nullptr);
ASSERT_EQ(test_node->padding(), "SAME");
ASSERT_EQ(test_node->data_layout(), "NHWC");
ASSERT_EQ(test_node->strides().size(), 4);
}
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