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/*
* Copyright (c) 2020 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 "luci/Import/GraphBuilder.h"
namespace luci
{
void GraphBuilder::build(const circle::OperatorT &op, GraphBuilderContext *context) const
{
assert(context != nullptr);
const std::vector<int32_t> &inputs = op.inputs;
const std::vector<int32_t> &outputs = op.outputs;
const auto &tensors = context->reader()->tensors();
std::vector<CircleNode *> input_nodes;
for (const int32_t input_tensor_index : inputs)
{
input_nodes.push_back(context->nodefinder()->node(input_tensor_index));
}
CircleNode *node = build_node(op, input_nodes, context->graph());
// Set up node parameters.
assert(outputs.size() == 1);
{
const circle::TensorT &output_tensor = *tensors[outputs[0]];
node->name(tensor_name(output_tensor));
auto quantization = tensor_quantization(output_tensor);
if (quantization)
{
auto quantparam = luci_quantparam(quantization);
if (quantparam)
node->quantparam(std::move(quantparam));
}
}
// Register node's only output.
assert(outputs.size() == 1);
{
context->nodefinder()->enroll(outputs[0], node);
}
}
} // namespace luci
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