| /*===---- 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__((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 */ |