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9ba5581d17
cuda4dnn: reduce CUDA version requirements to at least CUDA 9.2 * remove half2 specializations * do not remove atomicAdd for half in CUDA 10 and below * remove fp16.hpp
39 lines
1.5 KiB
C++
39 lines
1.5 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef OPENCV_DNN_SRC_CUDA_ATOMICS_HPP
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#define OPENCV_DNN_SRC_CUDA_ATOMICS_HPP
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#include <cuda_runtime.h>
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#include <cuda_fp16.h>
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// The 16-bit __half floating-point version of atomicAdd() is only supported by devices of compute capability 7.x and higher.
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// This function was introduced in CUDA 10.
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// https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#atomicadd
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#if !defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 700 && CUDART_VERSION >= 10000)
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// And half-precision floating-point operations are not supported by devices of compute capability strictly lower than 5.3
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// https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#features-and-technical-specifications
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#elif __CUDA_ARCH__ < 530
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#else
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inline __device__ void atomicAdd(__half* address, __half val) {
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unsigned int* address_as_ui = (unsigned int *)((char *)address - ((size_t)address & 2));
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unsigned int old = *address_as_ui;
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unsigned int assumed;
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do {
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assumed = old;
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__half_raw hsum;
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hsum.x = (size_t)address & 2 ? (old >> 16) : (old & 0xffff);
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__half tmpres = hsum + val;
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hsum = __half_raw(tmpres);
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old = (size_t)address & 2 ? (old & 0xffff) | (hsum.x << 16) : (old & 0xffff0000) | hsum.x;
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old = atomicCAS(address_as_ui, assumed, old);
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} while (assumed != old);
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}
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#endif
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#endif /* OPENCV_DNN_SRC_CUDA_ATOMICS_HPP */
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