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neilisaac / torch   python

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Version: 1.8.0 

/ include / c10 / cuda / CUDAFunctions.h

#pragma once

// This header provides C++ wrappers around commonly used CUDA API functions.
// The benefit of using C++ here is that we can raise an exception in the
// event of an error, rather than explicitly pass around error codes.  This
// leads to more natural APIs.
//
// The naming convention used here matches the naming convention of torch.cuda

#include <cuda_runtime_api.h>

#include <c10/core/Device.h>
#include <c10/cuda/CUDAException.h>
#include <c10/cuda/CUDAMacros.h>
#include <c10/macros/Macros.h>

namespace c10 {
namespace cuda {

// NB: In the past, we were inconsistent about whether or not this reported
// an error if there were driver problems are not.  Based on experience
// interacting with users, it seems that people basically ~never want this
// function to fail; it should just return zero if things are not working.
// Oblige them.
// It still might log a warning for user first time it's invoked
C10_CUDA_API DeviceIndex device_count() noexcept;

// Version of device_count that throws is no devices are detected
C10_CUDA_API DeviceIndex device_count_ensure_non_zero();

C10_CUDA_API DeviceIndex current_device();

C10_CUDA_API void set_device(DeviceIndex device);

C10_CUDA_API void device_synchronize();

} // namespace cuda
} // namespace c10