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c8d6c8244e
* add yolo cuda preprocessing * cmake build cuda src * yolov5 support cuda preprocessing * yolov5 cuda preprocessing configurable * yolov5 update get mat data api * yolov5 check cuda preprocess args * refactor cuda function name * yolo cuda preprocess padding value configurable * yolov5 release cuda memory * cuda preprocess pybind api update * move use_cuda_preprocessing option to yolov5 model * yolov5lite cuda preprocessing * yolov6 cuda preprocessing * yolov7 cuda preprocessing * yolov7_e2e cuda preprocessing * remove cuda preprocessing in runtime option * refine log and cmake variable name * fix model runtime ptr type Co-authored-by: Jason <jiangjiajun@baidu.com>
43 lines
1.3 KiB
C++
43 lines
1.3 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 <cuda_runtime.h>
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#include <cstdint>
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#include <vector>
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#ifndef CUDA_CHECK
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#define CUDA_CHECK(callstr)\
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{\
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cudaError_t error_code = callstr;\
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if (error_code != cudaSuccess) {\
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std::cerr << "CUDA error " << error_code << " at " << __FILE__ << ":";\
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std::cerr << __LINE__;\
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assert(0);\
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}\
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}
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#endif // CUDA_CHECK
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namespace fastdeploy {
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namespace vision {
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namespace utils {
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void CudaYoloPreprocess(uint8_t* src, int src_width, int src_height,
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float* dst, int dst_width, int dst_height,
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const std::vector<float> padding_value,
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cudaStream_t stream);
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} // namespace utils
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} // namespace vision
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} // namespace fastdeploy
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