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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>
59 lines
1.9 KiB
C++
59 lines
1.9 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/one_hot_v2.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(one_hot_v2, OneHotV2Mapper)
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int32_t OneHotV2Mapper::GetMinOpset(bool verbose) {
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if (allow_out_of_range_) {
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Error() << "allow_out_of_range is not supported in one_hot_v2."
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<< std::endl;
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return -1;
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}
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auto output_info = GetOutput("Out");
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if (output_info[0].dtype != dtype_) {
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Error() << "dtype attribute and output dtype do not match." << std::endl;
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return -1;
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}
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Logger(verbose, 9) << RequireOpset(9) << std::endl;
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return 9;
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}
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void OneHotV2Mapper::Opset9() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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std::string casted_input = helper_->AutoCast(
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input_info[0].name, input_info[0].dtype, P2ODataType::INT64);
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std::vector<int64_t> vals = {0, 1};
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std::string value_node =
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helper_->Constant(GetOnnxDtype(output_info[0].dtype), vals);
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std::string depth_node = "";
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if (HasInput("depth_tensor")) {
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auto input_depth_info = GetInput("depth_tensor");
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depth_node = input_depth_info[0].name;
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} else {
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depth_node =
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helper_->Constant({1}, GetOnnxDtype(input_info[0].dtype), depth_);
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}
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auto one_hot_node = helper_->MakeNode(
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"OneHot", {casted_input, depth_node, value_node}, {output_info[0].name});
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}
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} // namespace paddle2onnx
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