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ANSLibs/fastdeploy_gpu/include/fastdeploy/vision/utils/cuda_utils.h

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include <cuda_runtime.h>
#include <cstdint>
#include <vector>
#ifndef CUDA_CHECK
#define CUDA_CHECK(callstr)\
{\
cudaError_t error_code = callstr;\
if (error_code != cudaSuccess) {\
std::cerr << "CUDA error " << error_code << " at " << __FILE__ << ":";\
std::cerr << __LINE__;\
assert(0);\
}\
}
#endif // CUDA_CHECK
namespace fastdeploy {
namespace vision {
namespace utils {
void CudaYoloPreprocess(uint8_t* src, int src_width, int src_height,
float* dst, int dst_width, int dst_height,
const std::vector<float> padding_value,
cudaStream_t stream);
} // namespace utils
} // namespace vision
} // namespace fastdeploy