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* Add notes for tensors * Optimize some apis * move some warnings * Support build with Paddle2ONNX * Add protobuf support * Fix compile on mac * add clearn package script * Add paddle2onnx code * remove submodule * Add onnx ocde * remove softlink * add onnx code * fix error * Add cmake file * fix patchelf * update paddle2onnx * Delete .gitmodules --------- Co-authored-by: PaddleCI <paddle_ci@example.com> Co-authored-by: pangyoki <pangyoki@126.com> Co-authored-by: jiangjiajun <jiangjiajun@baidu.lcom>
50 lines
1.5 KiB
C++
50 lines
1.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <string>
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#include <vector>
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#include "paddle2onnx/mapper/mapper.h"
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namespace paddle2onnx {
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class AssignValueMapper : public Mapper {
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public:
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AssignValueMapper(const PaddleParser& p, OnnxHelper* helper, int64_t block_id,
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int64_t op_id)
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: Mapper(p, helper, block_id, op_id) {
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GetAttr("dtype", &dtype_);
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GetAttr("shape", &shape_);
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int32_t dtype = static_cast<int32_t>(dtype_);
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if (dtype == P2ODataType::INT32) {
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GetAttr("int32_values", &int64_values_);
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} else if (dtype == P2ODataType::FP32) {
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GetAttr("fp32_values", &fp32_values_);
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} else if (dtype == P2ODataType::INT64) {
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GetAttr("int64_values", &int64_values_);
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}
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}
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int32_t GetMinOpset(bool verbose = false);
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void Opset7();
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private:
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std::vector<float> fp32_values_;
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std::vector<int64_t> int64_values_;
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std::vector<int64_t> shape_;
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int64_t dtype_;
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};
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} // namespace paddle2onnx
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