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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>
35 lines
1.1 KiB
C++
35 lines
1.1 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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#pragma once
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#include "fastdeploy/utils/utils.h"
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namespace fastdeploy {
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namespace vision {
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enum class FASTDEPLOY_DECL ProcLib { DEFAULT, OPENCV, FLYCV, CUDA };
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FASTDEPLOY_DECL std::ostream& operator<<(std::ostream& out, const ProcLib& p);
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struct FASTDEPLOY_DECL DefaultProcLib {
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// default_lib has the highest priority
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// all the function in `processor` will force to use
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// default_lib if this flag is set.
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// DEFAULT means this flag is not set
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static ProcLib default_lib;
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};
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} // namespace vision
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} // namespace fastdeploy
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