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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>
78 lines
2.4 KiB
C++
78 lines
2.4 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/argsort.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(argsort, ArgsortMapper)
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int32_t ArgsortMapper::GetMinOpset(bool verbose) {
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if (!descending_) {
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Logger(verbose, 11) << "While descending=False, " << RequireOpset(11)
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<< std::endl;
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return 11;
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}
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if (axis_ < 0) {
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axis_ = axis_ + GetInput("X")[0].Rank();
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}
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if (GetInput("X")[0].shape[axis_] <= 0) {
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Logger(verbose, 10) << "While input shape is dynamic, " << RequireOpset(10)
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<< std::endl;
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return 10;
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}
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return 7;
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}
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void ArgsortMapper::Opset10() {
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auto x_info = GetInput("X");
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auto output_info = GetOutput("Out");
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auto indices_info = GetOutput("Indices");
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auto shape = helper_->MakeNode("Shape", {x_info[0].name})->output(0);
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if (axis_ < 0) {
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axis_ = axis_ + x_info[0].Rank();
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}
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auto dim_size = helper_->Slice(shape, {0}, {axis_}, {axis_ + 1});
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auto out_node =
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helper_->MakeNode("TopK", {x_info[0].name, dim_size},
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{output_info[0].name, indices_info[0].name});
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AddAttribute(out_node, "axis", axis_);
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if (helper_->GetOpsetVersion() > 10) {
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if (!descending_) {
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AddAttribute(out_node, "largest", static_cast<int64_t>(0));
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} else {
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AddAttribute(out_node, "largest", static_cast<int64_t>(1));
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}
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}
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}
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void ArgsortMapper::Opset7() {
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auto x_info = GetInput("X");
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auto output_info = GetOutput("Out");
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auto indices_info = GetOutput("Indices");
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if (axis_ < 0) {
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axis_ = axis_ + x_info[0].Rank();
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}
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auto out_node = helper_->MakeNode(
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"TopK", {x_info[0].name}, {output_info[0].name, indices_info[0].name});
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AddAttribute(out_node, "axis", axis_);
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AddAttribute(out_node, "k", x_info[0].shape[axis_]);
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}
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} // namespace paddle2onnx
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