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edgify / torch   python

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Version: 2.0.1+cpu 

/ include / ATen / jiterator_macros.h

#pragma once
#include <c10/macros/Macros.h>
#include <string>

#define JITERATOR_HOST_DEVICE C10_HOST_DEVICE
#if defined(_MSC_VER) && defined(__CUDACC__)
// NVRTC on Windows errors if __host__ __device__ attribute is
// present on kernel.
// error: attribute "__host__" does not apply here
// error: attribute "__device__" does not apply here
#define JITERATOR_HOST_DEVICE
#endif

// jiterator_also_stringify_as macro is used to define code (for CPU/ROCm)
// and generate code string for `jiterator` (only when compiling for CUDA).
// Usage :
//      jiterator_also_stringify_as(
//          jiterator_code(template <typename T> T identity(T x) { return x; }),
//          identity_string);
// This will define the template `identity` as present in code and
// also define `std::string identity_string` with the code as the string
// if this is being compiled for CUDA.

// `jiterator_code` macro is to deal with `,` in the kernel code.
// These `,`s confuse the preprocessor into thinking we are passing
// multiple arguments to the macro.
#define jiterator_code(...) __VA_ARGS__
#if defined(__CUDACC__) || defined(__HIPCC__)
// CPU and CUDA and ROCm case
#define stringify_code(...) #__VA_ARGS__
#define jiterator_also_stringify_as(code, str_name) \
  code /* define the function */                    \
      const std::string str_name = std::string(stringify_code(code));
#else
// CPU only or CPU and ROCm case
// Only needs the function
#define jiterator_also_stringify_as(code, str_name) code
#endif