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https://github.com/PaddlePaddle/FastDeploy.git
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a36f5d3396
* cuda normalize and permute, cuda concat * add use cuda option for preprocessor * ppyoloe use cuda normalize * ppseg use cuda normalize * add proclib cuda in processor base * ppcls add use cuda preprocess api * ppcls preprocessor set gpu id * fix pybind * refine ppcls preprocessing use gpu logic * fdtensor device id is -1 by default * refine assert message Co-authored-by: heliqi <1101791222@qq.com>
44 lines
1.2 KiB
C++
44 lines
1.2 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 "fastdeploy/vision/common/processors/proc_lib.h"
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namespace fastdeploy {
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namespace vision {
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ProcLib DefaultProcLib::default_lib = ProcLib::DEFAULT;
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std::ostream& operator<<(std::ostream& out, const ProcLib& p) {
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switch (p) {
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case ProcLib::DEFAULT:
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out << "ProcLib::DEFAULT";
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break;
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case ProcLib::OPENCV:
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out << "ProcLib::OPENCV";
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break;
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case ProcLib::FLYCV:
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out << "ProcLib::FLYCV";
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break;
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case ProcLib::CUDA:
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out << "ProcLib::CUDA";
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break;
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default:
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FDASSERT(false, "Unknow type of ProcLib.");
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}
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return out;
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}
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} // namespace vision
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} // namespace fastdeploy
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