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paddle2onnx_optimizer.h
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// Copyright (c) 2022 PaddlePaddle Authors. 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.
#pragma once
#include <onnx/onnx_pb.h>
#include <map>
#include <string>
#include <vector>
namespace ONNX_NAMESPACE {
namespace optimization {
struct OptimizerOption {
std::vector<std::string> passes;
OptimizerOption() {
passes.push_back("eliminate_identity");
passes.push_back("eliminate_deadend");
passes.push_back("fuse_constant_reshape");
passes.push_back("fuse_constant_unsqueeze");
passes.push_back("fuse_paddle_conv_bias");
passes.push_back("fuse_consecutive_transposes");
passes.push_back("eliminate_non_transpose");
passes.push_back("replace_mul_to_identity");
passes.push_back("replace_add_to_identity");
passes.push_back("fuse_matmul_add_bias_into_gemm");
passes.push_back("eliminate_identity");
passes.push_back("eliminate_deadend");
}
};
ONNX_NAMESPACE::ModelProto OptimizeOnnxModel(
const ONNX_NAMESPACE::ModelProto& model);
bool OptimizePaddle2ONNX(const std::string& model_path,
const std::string& optimized_model_path,
const OptimizerOption& option = OptimizerOption());
bool OptimizePaddle2ONNX(
const std::string& model_path, const std::string& optimized_model_path,
const std::map<std::string, std::vector<int>>& shape_infos,
const OptimizerOption& option = OptimizerOption());
bool Paddle2ONNXFP32ToFP16(const std::string& model_path,
const std::string& optimized_model_path);
} // namespace optimization
} // namespace ONNX_NAMESPACE