FM / cuda

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/cuda/

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/cuda

Name	Size	Mode	Actions
detail/	-	0755	rm
ATenCUDAGeneral.h	190	0644	edit dl rm
cub.cuh	11594	0644	edit dl rm
CUDAApplyUtils.cuh	21290	0644	edit dl rm
CUDABlas.h	11001	0644	edit dl rm
CUDAConfig.h	583	0644	edit dl rm
CUDAContext.h	2249	0644	edit dl rm
CUDADevice.h	352	0644	edit dl rm
CUDAEvent.h	5738	0644	edit dl rm
CUDAGraph.h	2437	0644	edit dl rm
CUDAGraphsUtils.cuh	2013	0644	edit dl rm
CUDASolver.h	22878	0644	edit dl rm
CUDATensorMethods.cuh	270	0644	edit dl rm
CUDAUtils.h	428	0644	edit dl rm
DeviceUtils.cuh	2991	0644	edit dl rm
Exceptions.h	7387	0644	edit dl rm
NumericLimits.cuh	5214	0644	edit dl rm
PinnedMemoryAllocator.h	167	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/cuda/CUDAContext.h (2249B)

#pragma once

#include <cstdint>

#include <cuda_runtime_api.h>
#include <cusparse.h>
#include <cublas_v2.h>

#ifdef CUDART_VERSION
#include <cusolverDn.h>
#endif

#include <ATen/core/ATenGeneral.h>
#include <ATen/Context.h>
#include <c10/cuda/CUDAStream.h>
#include <c10/cuda/CUDAFunctions.h>
#include <ATen/cuda/Exceptions.h>

namespace at {
namespace cuda {

/*
A common CUDA interface for ATen.

This interface is distinct from CUDAHooks, which defines an interface that links
to both CPU-only and CUDA builds. That interface is intended for runtime
dispatch and should be used from files that are included in both CPU-only and
CUDA builds.

CUDAContext, on the other hand, should be preferred by files only included in
CUDA builds. It is intended to expose CUDA functionality in a consistent
manner.

This means there is some overlap between the CUDAContext and CUDAHooks, but
the choice of which to use is simple: use CUDAContext when in a CUDA-only file,
use CUDAHooks otherwise.

Note that CUDAContext simply defines an interface with no associated class.
It is expected that the modules whose functions compose this interface will
manage their own state. There is only a single CUDA context/state.
*/

/**
 * DEPRECATED: use device_count() instead
 */
inline int64_t getNumGPUs() {
    return c10::cuda::device_count();
}

/**
 * CUDA is available if we compiled with CUDA, and there are one or more
 * devices.  If we compiled with CUDA but there is a driver problem, etc.,
 * this function will report CUDA is not available (rather than raise an error.)
 */
inline bool is_available() {
    return c10::cuda::device_count() > 0;
}

TORCH_CUDA_CPP_API cudaDeviceProp* getCurrentDeviceProperties();

TORCH_CUDA_CPP_API int warp_size();

TORCH_CUDA_CPP_API cudaDeviceProp* getDeviceProperties(int64_t device);

TORCH_CUDA_CPP_API bool canDeviceAccessPeer(
    int64_t device,
    int64_t peer_device);

TORCH_CUDA_CPP_API Allocator* getCUDADeviceAllocator();

/* Handles */
TORCH_CUDA_CPP_API cusparseHandle_t getCurrentCUDASparseHandle();
TORCH_CUDA_CPP_API cublasHandle_t getCurrentCUDABlasHandle();

#ifdef CUDART_VERSION
TORCH_CUDA_CPP_API cusolverDnHandle_t getCurrentCUDASolverDnHandle();
#endif

} // namespace cuda
} // namespace at

#pragma once #include #include #include #include #ifdef CUDART_VERSION #include #endif #include #include #include #include #include namespace at { namespace cuda { /* A common CUDA interface for ATen. This interface is distinct from CUDAHooks, which defines an interface that links to both CPU-only and CUDA builds. That interface is intended for runtime dispatch and should be used from files that are included in both CPU-only and CUDA builds. CUDAContext, on the other hand, should be preferred by files only included in CUDA builds. It is intended to expose CUDA functionality in a consistent manner. This means there is some overlap between the CUDAContext and CUDAHooks, but the choice of which to use is simple: use CUDAContext when in a CUDA-only file, use CUDAHooks otherwise. Note that CUDAContext simply defines an interface with no associated class. It is expected that the modules whose functions compose this interface will manage their own state. There is only a single CUDA context/state. */ /** * DEPRECATED: use device_count() instead */ inline int64_t getNumGPUs() { return c10::cuda::device_count(); } /** * CUDA is available if we compiled with CUDA, and there are one or more * devices. If we compiled with CUDA but there is a driver problem, etc., * this function will report CUDA is not available (rather than raise an error.) */ inline bool is_available() { return c10::cuda::device_count() > 0; } TORCH_CUDA_CPP_API cudaDeviceProp* getCurrentDeviceProperties(); TORCH_CUDA_CPP_API int warp_size(); TORCH_CUDA_CPP_API cudaDeviceProp* getDeviceProperties(int64_t device); TORCH_CUDA_CPP_API bool canDeviceAccessPeer( int64_t device, int64_t peer_device); TORCH_CUDA_CPP_API Allocator* getCUDADeviceAllocator(); /* Handles */ TORCH_CUDA_CPP_API cusparseHandle_t getCurrentCUDASparseHandle(); TORCH_CUDA_CPP_API cublasHandle_t getCurrentCUDABlasHandle(); #ifdef CUDART_VERSION TORCH_CUDA_CPP_API cusolverDnHandle_t getCurrentCUDASolverDnHandle(); #endif } // namespace cuda } // namespace at