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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>
76 lines
3.0 KiB
C++
76 lines
3.0 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/flatten.h"
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#include <vector>
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namespace paddle2onnx {
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REGISTER_MAPPER(flatten_contiguous_range, FlattenMapper)
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void FlattenMapper::Opset7() {
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auto input_info = GetInput("X");
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if (start_axis_ < 0) {
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start_axis_ += input_info[0].Rank();
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}
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if (stop_axis_ < 0) {
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stop_axis_ += input_info[0].Rank();
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}
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auto output_info = GetOutput("Out");
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auto unknown_dim_node =
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helper_->Constant({1}, ONNX_NAMESPACE::TensorProto::INT64, -1);
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if (start_axis_ == 0 && stop_axis_ == input_info[0].Rank() - 1) {
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helper_->MakeNode("Reshape", {input_info[0].name, unknown_dim_node},
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{output_info[0].name});
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} else {
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auto input_shape_node = helper_->MakeNode("Shape", {input_info[0].name});
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if (start_axis_ == 0) {
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auto second_part_shape =
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helper_->Slice(input_shape_node->output(0), {0}, {stop_axis_ + 1},
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{input_info[0].Rank()});
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auto new_shape_node =
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helper_->MakeNode("Concat", {unknown_dim_node, second_part_shape});
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AddAttribute(new_shape_node, "axis", int64_t(0));
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helper_->MakeNode("Reshape",
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{input_info[0].name, new_shape_node->output(0)},
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{output_info[0].name});
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} else if (stop_axis_ == input_info[0].Rank() - 1) {
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auto first_part_shape =
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helper_->Slice(input_shape_node->output(0), {0}, {0}, {start_axis_});
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auto new_shape_node =
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helper_->MakeNode("Concat", {first_part_shape, unknown_dim_node});
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AddAttribute(new_shape_node, "axis", int64_t(0));
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helper_->MakeNode("Reshape",
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{input_info[0].name, new_shape_node->output(0)},
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{output_info[0].name});
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} else {
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auto first_part_shape =
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helper_->Slice(input_shape_node->output(0), {0}, {0}, {start_axis_});
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auto second_part_shape =
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helper_->Slice(input_shape_node->output(0), {0}, {stop_axis_ + 1},
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{input_info[0].Rank()});
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auto new_shape_node = helper_->MakeNode(
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"Concat", {first_part_shape, unknown_dim_node, second_part_shape});
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AddAttribute(new_shape_node, "axis", int64_t(0));
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helper_->MakeNode("Reshape",
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{input_info[0].name, new_shape_node->output(0)},
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{output_info[0].name});
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}
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}
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}
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} // namespace paddle2onnx
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