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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 "TestHelper.h"
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/io/zero_copy_stream_impl.h>
#include <google/protobuf/text_format.h>
#include <cstring>
namespace moco
{
namespace tf
{
namespace test
{
void setup_output_node(loco::Graph *graph, loco::Node *last_node)
{
// add push as output
auto push_node = graph->nodes()->create<loco::Push>();
push_node->from(last_node);
// set the graph output name and node object
auto graph_output = graph->outputs()->create();
graph_output->name("output");
graph_output->dtype(loco::DataType::FLOAT32);
loco::link(graph_output, push_node);
}
} // namespace test
} // namespace tf
} // namespace moco
#include <moco/IR/Nodes/TFConst.h>
#include <stdex/Memory.h>
#include <gtest/gtest.h>
namespace moco
{
namespace tf
{
namespace test
{
TFNodeBuildTester::TFNodeBuildTester()
{
_graph = loco::make_graph();
_tensor_names = stdex::make_unique<moco::SymbolTable>();
}
void TFNodeBuildTester::inputs(const std::vector<std::string> &names)
{
for (auto name : names)
{
auto input = _graph->nodes()->create<moco::TFConst>();
moco::TensorName name_01(name, 0);
_tensor_names->enroll(name_01, input);
_inputs.push_back(input);
}
}
void TFNodeBuildTester::output(const char *name) { _output = name; }
moco::TFNode *TFNodeBuildTester::output(void)
{
assert(_output != nullptr);
moco::TensorName tname(_output, 0);
return static_cast<moco::TFNode *>(_tensor_names->node(tname));
}
void TFNodeBuildTester::run(tensorflow::NodeDef &nodedef, moco::GraphBuilder &graphbuilder)
{
assert(_output != nullptr);
auto node_defs = stdex::make_unique<moco::NodeDefTable>();
auto updates = stdex::make_unique<moco::UpdateQueue>();
moco::GraphBuilderContext gb_context(_graph.get(), node_defs.get(), _tensor_names.get(),
updates.get());
EXPECT_TRUE(graphbuilder.validate(nodedef));
graphbuilder.build(nodedef, &gb_context);
for (auto &update : updates->queue())
{
update->input(_tensor_names.get());
}
auto tfnode = output();
ASSERT_NE(tfnode, nullptr);
int idx = 0;
ASSERT_EQ(tfnode->arity(), _inputs.size());
for (auto input : _inputs)
{
ASSERT_EQ(tfnode->arg(idx++), input);
}
}
} // namespace test
} // namespace tf
} // namespace moco
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