xhs-note-crawling/python/py/Lib/site-packages/torch/include/c10/cuda/CUDAMacros.h

#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
#pragma once

#ifndef C10_USING_CUSTOM_GENERATED_MACROS

// We have not yet modified the AMD HIP build to generate this file so
// we add an extra option to specifically ignore it.
#ifndef C10_CUDA_NO_CMAKE_CONFIGURE_FILE
#include <c10/cuda/impl/cuda_cmake_macros.h>
#endif // C10_CUDA_NO_CMAKE_CONFIGURE_FILE

#endif

// See c10/macros/Export.h for a detailed explanation of what the function
// of these macros are.  We need one set of macros for every separate library
// we build.

#ifdef _WIN32
#if defined(C10_CUDA_BUILD_SHARED_LIBS)
#define C10_CUDA_EXPORT __declspec(dllexport)
#define C10_CUDA_IMPORT __declspec(dllimport)
#else
#define C10_CUDA_EXPORT
#define C10_CUDA_IMPORT
#endif
#else // _WIN32
#if defined(__GNUC__)
#define C10_CUDA_EXPORT __attribute__((__visibility__("default")))
#else // defined(__GNUC__)
#define C10_CUDA_EXPORT
#endif // defined(__GNUC__)
#define C10_CUDA_IMPORT C10_CUDA_EXPORT
#endif // _WIN32

// This one is being used by libc10_cuda.so
#ifdef C10_CUDA_BUILD_MAIN_LIB
#define C10_CUDA_API C10_CUDA_EXPORT
#else
#define C10_CUDA_API C10_CUDA_IMPORT
#endif

/**
 * The maximum number of GPUs that we recognizes. Increasing this beyond the
 * initial limit of 16 broke Caffe2 testing, hence the ifdef guards.
 * This value cannot be more than 128 because our DeviceIndex is a uint8_t.
o */
#ifdef FBCODE_CAFFE2
// fbcode depends on this value being 16
#define C10_COMPILE_TIME_MAX_GPUS 16
#else
#define C10_COMPILE_TIME_MAX_GPUS 120
#endif

#else
#error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined."
#endif  // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)