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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>
48 lines
1.8 KiB
C++
Executable File
48 lines
1.8 KiB
C++
Executable File
// 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/top_k_v2.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(top_k_v2, TopKV2Mapper)
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void TopKV2Mapper::Opset11() {
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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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std::string k = "";
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if (HasInput("K")) {
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auto k_info = GetInput("K");
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k = helper_->AutoCast(k_info[0].name, k_info[0].dtype, P2ODataType::INT64);
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if (k_info[0].Rank() == 0) {
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k = helper_->Reshape(k, std::vector<int64_t>(1, -1));
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}
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} else {
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int64_t k_value = 0;
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GetAttr("k", &k_value);
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k = helper_->Constant({1}, ONNX_NAMESPACE::TensorProto::INT64, k_value);
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}
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auto out_node = helper_->MakeNode("TopK", {x_info[0].name, k}, 2);
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AddAttribute(out_node, "largest", static_cast<int64_t>(largest_));
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AddAttribute(out_node, "sorted", static_cast<int64_t>(sorted_));
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AddAttribute(out_node, "axis", axis_);
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helper_->AutoCast(out_node->output(0), output_info[0].name, x_info[0].dtype,
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output_info[0].dtype);
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helper_->AutoCast(out_node->output(1), indices_info[0].name,
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P2ODataType::INT64, indices_info[0].dtype);
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}
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} // namespace paddle2onnx
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