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https://github.com/PaddlePaddle/FastDeploy.git
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6343b0db47
* 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>
62 lines
2.3 KiB
C++
62 lines
2.3 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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#include "paddle2onnx/mapper/tensor/matmul.h"
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#include <cmath>
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namespace paddle2onnx {
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REGISTER_MAPPER(matmul, MatmulMapper)
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std::string MatmulMapper::GetTrans(std::vector<TensorInfo>& input_info) {
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std::string castd_name = input_info[0].name;
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if (input_info[0].dtype == P2ODataType::FP64) {
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castd_name = helper_->AutoCast(input_info[0].name, input_info[0].dtype,
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P2ODataType::FP32);
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}
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std::vector<int64_t> perm = Arange(0, input_info[0].Rank());
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std::swap(perm[perm.size() - 1], perm[perm.size() - 2]);
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auto transpose_node = helper_->MakeNode("Transpose", {castd_name});
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AddAttribute(transpose_node, "perm", perm);
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return transpose_node->output(0);
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}
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void MatmulMapper::Opset7() {
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auto input_x_info = GetInput("X");
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auto input_y_info = GetInput("Y");
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auto output_info = GetOutput("Out");
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std::string input_x = input_x_info[0].name;
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if (transpose_X_) {
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input_x = GetTrans(input_x_info);
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}
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std::string input_y = input_y_info[0].name;
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if (transpose_Y_) {
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input_y = GetTrans(input_y_info);
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}
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if (fabs(alpha_ - 1.0) < 1e-6) {
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auto node = helper_->MakeNode("MatMul", {input_x, input_y});
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helper_->AutoCast(node->output(0), output_info[0].name, P2ODataType::FP32,
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input_y_info[0].dtype);
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} else {
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auto mutmul_node = helper_->MakeNode("MatMul", {input_x, input_y});
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std::string scale_node =
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helper_->Constant({1}, GetOnnxDtype(input_x_info[0].dtype), alpha_);
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auto mul_node =
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helper_->MakeNode("Mul", {mutmul_node->output(0), scale_node});
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helper_->AutoCast(mul_node->output(0), output_info[0].name,
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P2ODataType::FP32, input_y_info[0].dtype);
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}
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}
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} // namespace paddle2onnx
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