__clang_cuda_builtin_vars.h

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/*===---- cuda_builtin_vars.h - CUDA built-in variables ---------------------===
 *
 * Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
 * See https://llvm.org/LICENSE.txt for license information.
 * SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 *
 *===-----------------------------------------------------------------------===
 */
 
#ifndef __CUDA_BUILTIN_VARS_H
#define __CUDA_BUILTIN_VARS_H
 
// Forward declares from vector_types.h.
struct uint3;
struct dim3;
 
// The file implements built-in CUDA variables using __declspec(property).
// https://msdn.microsoft.com/en-us/library/yhfk0thd.aspx
// All read accesses of built-in variable fields get converted into calls to a
// getter function which in turn calls the appropriate builtin to fetch the
// value.
//
// Example:
//    int x = threadIdx.x;
// IR output:
//  %0 = call i32 @llvm.nvvm.read.ptx.sreg.tid.x() #3
// PTX output:
//  mov.u32     %r2, %tid.x;
 
#define __CUDA_DEVICE_BUILTIN(FIELD, INTRINSIC)                                \
  __declspec(property(get = __fetch_builtin_##FIELD)) unsigned int FIELD;      \
  static inline __attribute__((always_inline)) __attribute__((const))          \
  __attribute__((device)) unsigned int                                         \
  __fetch_builtin_##FIELD(void) {                                              \
    return INTRINSIC;                                                          \
  }
 
#if __cplusplus >= 201103L
#define __DELETE =delete
#else
#define __DELETE
#endif
 
// Make sure nobody can create instances of the special variable types.  nvcc
// also disallows taking address of special variables, so we disable address-of
// operator as well.
#define __CUDA_DISALLOW_BUILTINVAR_ACCESS(TypeName)                            \
  __attribute__((device)) TypeName() __DELETE;                                 \
  __attribute__((device)) TypeName(const TypeName &) __DELETE;                 \
  __attribute__((device)) void operator=(const TypeName &) const __DELETE;     \
  __attribute__((device)) TypeName *operator&() const __DELETE
 
struct __cuda_builtin_threadIdx_t {
  __CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_tid_x());
  __CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_tid_y());
  __CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_tid_z());
  // threadIdx should be convertible to uint3 (in fact in nvcc, it *is* a
  // uint3).  This function is defined after we pull in vector_types.h.
  __attribute__((device)) operator dim3() const;
  __attribute__((device)) operator uint3() const;
 
private:
  __CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_threadIdx_t);
};
 
struct __cuda_builtin_blockIdx_t {
  __CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_ctaid_x());
  __CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_ctaid_y());
  __CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_ctaid_z());
  // blockIdx should be convertible to uint3 (in fact in nvcc, it *is* a
  // uint3).  This function is defined after we pull in vector_types.h.
  __attribute__((device)) operator dim3() const;
  __attribute__((device)) operator uint3() const;
 
private:
  __CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_blockIdx_t);
};
 
struct __cuda_builtin_blockDim_t {
  __CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_ntid_x());
  __CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_ntid_y());
  __CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_ntid_z());
  // blockDim should be convertible to dim3 (in fact in nvcc, it *is* a
  // dim3).  This function is defined after we pull in vector_types.h.
  __attribute__((device)) operator dim3() const;
  __attribute__((device)) operator uint3() const;
 
private:
  __CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_blockDim_t);
};
 
struct __cuda_builtin_gridDim_t {
  __CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_nctaid_x());
  __CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_nctaid_y());
  __CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_nctaid_z());
  // gridDim should be convertible to dim3 (in fact in nvcc, it *is* a
  // dim3).  This function is defined after we pull in vector_types.h.
  __attribute__((device)) operator dim3() const;
  __attribute__((device)) operator uint3() const;
 
private:
  __CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_gridDim_t);
};
 
#define __CUDA_BUILTIN_VAR                                                     \
  extern const __attribute__((device)) __attribute__((weak))
__CUDA_BUILTIN_VAR __cuda_builtin_threadIdx_t threadIdx;
__CUDA_BUILTIN_VAR __cuda_builtin_blockIdx_t blockIdx;
__CUDA_BUILTIN_VAR __cuda_builtin_blockDim_t blockDim;
__CUDA_BUILTIN_VAR __cuda_builtin_gridDim_t gridDim;
 
// warpSize should translate to read of %WARP_SZ but there's currently no
// builtin to do so. According to PTX v4.2 docs 'to date, all target
// architectures have a WARP_SZ value of 32'.
__attribute__((device)) const int warpSize = 32;
 
#undef __CUDA_DEVICE_BUILTIN
#undef __CUDA_BUILTIN_VAR
#undef __CUDA_DISALLOW_BUILTINVAR_ACCESS
#undef __DELETE
 
#endif /* __CUDA_BUILTIN_VARS_H */