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GitHub Repository: screetsec/TheFatRat
Path: blob/master/tools/android-sdk/renderscript/clang-include/cuda_builtin_vars.h
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/*===---- cuda_builtin_vars.h - CUDA built-in variables ---------------------===
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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*===-----------------------------------------------------------------------===
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*/
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#ifndef __CUDA_BUILTIN_VARS_H
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#define __CUDA_BUILTIN_VARS_H
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// Forward declares from vector_types.h.
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struct uint3;
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struct dim3;
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// The file implements built-in CUDA variables using __declspec(property).
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// https://msdn.microsoft.com/en-us/library/yhfk0thd.aspx
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// All read accesses of built-in variable fields get converted into calls to a
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// getter function which in turn calls the appropriate builtin to fetch the
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// value.
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//
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// Example:
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// int x = threadIdx.x;
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// IR output:
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// %0 = call i32 @llvm.nvvm.read.ptx.sreg.tid.x() #3
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// PTX output:
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// mov.u32 %r2, %tid.x;
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#define __CUDA_DEVICE_BUILTIN(FIELD, INTRINSIC) \
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__declspec(property(get = __fetch_builtin_##FIELD)) unsigned int FIELD; \
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static inline __attribute__((always_inline)) \
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__attribute__((device)) unsigned int __fetch_builtin_##FIELD(void) { \
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return INTRINSIC; \
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}
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#if __cplusplus >= 201103L
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#define __DELETE =delete
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#else
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#define __DELETE
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#endif
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// Make sure nobody can create instances of the special varible types. nvcc
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// also disallows taking address of special variables, so we disable address-of
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// operator as well.
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#define __CUDA_DISALLOW_BUILTINVAR_ACCESS(TypeName) \
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__attribute__((device)) TypeName() __DELETE; \
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__attribute__((device)) TypeName(const TypeName &) __DELETE; \
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__attribute__((device)) void operator=(const TypeName &) const __DELETE; \
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__attribute__((device)) TypeName *operator&() const __DELETE
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struct __cuda_builtin_threadIdx_t {
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__CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_tid_x());
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__CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_tid_y());
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__CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_tid_z());
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// threadIdx should be convertible to uint3 (in fact in nvcc, it *is* a
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// uint3). This function is defined after we pull in vector_types.h.
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__attribute__((device)) operator uint3() const;
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private:
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__CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_threadIdx_t);
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};
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struct __cuda_builtin_blockIdx_t {
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__CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_ctaid_x());
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__CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_ctaid_y());
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__CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_ctaid_z());
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// blockIdx should be convertible to uint3 (in fact in nvcc, it *is* a
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// uint3). This function is defined after we pull in vector_types.h.
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__attribute__((device)) operator uint3() const;
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private:
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__CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_blockIdx_t);
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};
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struct __cuda_builtin_blockDim_t {
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__CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_ntid_x());
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__CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_ntid_y());
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__CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_ntid_z());
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// blockDim should be convertible to dim3 (in fact in nvcc, it *is* a
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// dim3). This function is defined after we pull in vector_types.h.
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__attribute__((device)) operator dim3() const;
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private:
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__CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_blockDim_t);
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};
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struct __cuda_builtin_gridDim_t {
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__CUDA_DEVICE_BUILTIN(x,__nvvm_read_ptx_sreg_nctaid_x());
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__CUDA_DEVICE_BUILTIN(y,__nvvm_read_ptx_sreg_nctaid_y());
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__CUDA_DEVICE_BUILTIN(z,__nvvm_read_ptx_sreg_nctaid_z());
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// gridDim should be convertible to dim3 (in fact in nvcc, it *is* a
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// dim3). This function is defined after we pull in vector_types.h.
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__attribute__((device)) operator dim3() const;
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private:
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__CUDA_DISALLOW_BUILTINVAR_ACCESS(__cuda_builtin_gridDim_t);
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};
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#define __CUDA_BUILTIN_VAR \
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extern const __attribute__((device)) __attribute__((weak))
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__CUDA_BUILTIN_VAR __cuda_builtin_threadIdx_t threadIdx;
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__CUDA_BUILTIN_VAR __cuda_builtin_blockIdx_t blockIdx;
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__CUDA_BUILTIN_VAR __cuda_builtin_blockDim_t blockDim;
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__CUDA_BUILTIN_VAR __cuda_builtin_gridDim_t gridDim;
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// warpSize should translate to read of %WARP_SZ but there's currently no
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// builtin to do so. According to PTX v4.2 docs 'to date, all target
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// architectures have a WARP_SZ value of 32'.
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__attribute__((device)) const int warpSize = 32;
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#undef __CUDA_DEVICE_BUILTIN
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#undef __CUDA_BUILTIN_VAR
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#undef __CUDA_DISALLOW_BUILTINVAR_ACCESS
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#endif /* __CUDA_BUILTIN_VARS_H */
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