1 #if !defined(CUSPARSEMATIMPL) 2 #define CUSPARSEMATIMPL 3 4 #include <petscpkg_version.h> 5 #include <petsc/private/cudavecimpl.h> 6 #include <petscaijdevice.h> 7 8 #include <cusparse_v2.h> 9 10 #include <algorithm> 11 #include <vector> 12 13 #include <thrust/device_vector.h> 14 #include <thrust/device_ptr.h> 15 #include <thrust/device_malloc_allocator.h> 16 #include <thrust/transform.h> 17 #include <thrust/functional.h> 18 #include <thrust/sequence.h> 19 #include <thrust/system/system_error.h> 20 21 #if (CUSPARSE_VER_MAJOR > 10 || CUSPARSE_VER_MAJOR == 10 && CUSPARSE_VER_MINOR >= 2) /* According to cuda/10.1.168 on OLCF Summit */ 22 #define CHKERRCUSPARSE(stat)\ 23 do {\ 24 if (PetscUnlikely(stat)) {\ 25 const char *name = cusparseGetErrorName(stat);\ 26 const char *descr = cusparseGetErrorString(stat);\ 27 if ((stat == CUSPARSE_STATUS_NOT_INITIALIZED) || (stat == CUSPARSE_STATUS_ALLOC_FAILED)) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_GPU_RESOURCE,"cuSPARSE error %d (%s) : %s. Reports not initialized or alloc failed; this indicates the GPU has run out resources",(int)stat,name,descr); \ 28 else SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_GPU,"cuSPARSE error %d (%s) : %s",(int)stat,name,descr);\ 29 }\ 30 } while (0) 31 #else 32 #define CHKERRCUSPARSE(stat) do {if (PetscUnlikely(stat)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_GPU,"cusparse error %d",(int)stat);} while (0) 33 #endif 34 35 #define PetscStackCallThrust(body) do { \ 36 try { \ 37 body; \ 38 } catch(thrust::system_error& e) { \ 39 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in Thrust %s",e.what());\ 40 } \ 41 } while (0) 42 43 #if defined(PETSC_USE_COMPLEX) 44 #if defined(PETSC_USE_REAL_SINGLE) 45 const cuComplex PETSC_CUSPARSE_ONE = {1.0f, 0.0f}; 46 const cuComplex PETSC_CUSPARSE_ZERO = {0.0f, 0.0f}; 47 #elif defined(PETSC_USE_REAL_DOUBLE) 48 const cuDoubleComplex PETSC_CUSPARSE_ONE = {1.0, 0.0}; 49 const cuDoubleComplex PETSC_CUSPARSE_ZERO = {0.0, 0.0}; 50 #endif 51 #else 52 const PetscScalar PETSC_CUSPARSE_ONE = 1.0; 53 const PetscScalar PETSC_CUSPARSE_ZERO = 0.0; 54 #endif 55 56 #if PETSC_PKG_CUDA_VERSION_GE(9,0,0) 57 #define cusparse_create_analysis_info cusparseCreateCsrsv2Info 58 #define cusparse_destroy_analysis_info cusparseDestroyCsrsv2Info 59 #if defined(PETSC_USE_COMPLEX) 60 #if defined(PETSC_USE_REAL_SINGLE) 61 #define cusparse_get_svbuffsize(a,b,c,d,e,f,g,h,i,j) cusparseCcsrsv2_bufferSize(a,b,c,d,e,(cuComplex*)(f),g,h,i,j) 62 #define cusparse_analysis(a,b,c,d,e,f,g,h,i,j,k) cusparseCcsrsv2_analysis(a,b,c,d,e,(const cuComplex*)(f),g,h,i,j,k) 63 #define cusparse_solve(a,b,c,d,e,f,g,h,i,j,k,l,m,n) cusparseCcsrsv2_solve(a,b,c,d,(const cuComplex*)(e),f,(const cuComplex*)(g),h,i,j,(const cuComplex*)(k),(cuComplex*)(l),m,n) 64 #elif defined(PETSC_USE_REAL_DOUBLE) 65 #define cusparse_get_svbuffsize(a,b,c,d,e,f,g,h,i,j) cusparseZcsrsv2_bufferSize(a,b,c,d,e,(cuDoubleComplex*)(f),g,h,i,j) 66 #define cusparse_analysis(a,b,c,d,e,f,g,h,i,j,k) cusparseZcsrsv2_analysis(a,b,c,d,e,(const cuDoubleComplex*)(f),g,h,i,j,k) 67 #define cusparse_solve(a,b,c,d,e,f,g,h,i,j,k,l,m,n) cusparseZcsrsv2_solve(a,b,c,d,(const cuDoubleComplex*)(e),f,(const cuDoubleComplex*)(g),h,i,j,(const cuDoubleComplex*)(k),(cuDoubleComplex*)(l),m,n) 68 #endif 69 #else /* not complex */ 70 #if defined(PETSC_USE_REAL_SINGLE) 71 #define cusparse_get_svbuffsize cusparseScsrsv2_bufferSize 72 #define cusparse_analysis cusparseScsrsv2_analysis 73 #define cusparse_solve cusparseScsrsv2_solve 74 #elif defined(PETSC_USE_REAL_DOUBLE) 75 #define cusparse_get_svbuffsize cusparseDcsrsv2_bufferSize 76 #define cusparse_analysis cusparseDcsrsv2_analysis 77 #define cusparse_solve cusparseDcsrsv2_solve 78 #endif 79 #endif 80 #else 81 #define cusparse_create_analysis_info cusparseCreateSolveAnalysisInfo 82 #define cusparse_destroy_analysis_info cusparseDestroySolveAnalysisInfo 83 #if defined(PETSC_USE_COMPLEX) 84 #if defined(PETSC_USE_REAL_SINGLE) 85 #define cusparse_solve(a,b,c,d,e,f,g,h,i,j,k) cusparseCcsrsv_solve((a),(b),(c),(cuComplex*)(d),(e),(cuComplex*)(f),(g),(h),(i),(cuComplex*)(j),(cuComplex*)(k)) 86 #define cusparse_analysis(a,b,c,d,e,f,g,h,i) cusparseCcsrsv_analysis((a),(b),(c),(d),(e),(cuComplex*)(f),(g),(h),(i)) 87 #elif defined(PETSC_USE_REAL_DOUBLE) 88 #define cusparse_solve(a,b,c,d,e,f,g,h,i,j,k) cusparseZcsrsv_solve((a),(b),(c),(cuDoubleComplex*)(d),(e),(cuDoubleComplex*)(f),(g),(h),(i),(cuDoubleComplex*)(j),(cuDoubleComplex*)(k)) 89 #define cusparse_analysis(a,b,c,d,e,f,g,h,i) cusparseZcsrsv_analysis((a),(b),(c),(d),(e),(cuDoubleComplex*)(f),(g),(h),(i)) 90 #endif 91 #else /* not complex */ 92 #if defined(PETSC_USE_REAL_SINGLE) 93 #define cusparse_solve cusparseScsrsv_solve 94 #define cusparse_analysis cusparseScsrsv_analysis 95 #elif defined(PETSC_USE_REAL_DOUBLE) 96 #define cusparse_solve cusparseDcsrsv_solve 97 #define cusparse_analysis cusparseDcsrsv_analysis 98 #endif 99 #endif 100 #endif 101 102 #if PETSC_PKG_CUDA_VERSION_GE(11,0,0) 103 #define cusparse_csr2csc cusparseCsr2cscEx2 104 #if defined(PETSC_USE_COMPLEX) 105 #if defined(PETSC_USE_REAL_SINGLE) 106 #define cusparse_scalartype CUDA_C_32F 107 #define cusparse_csr_spgeam(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t) cusparseCcsrgeam2(a,b,c,(cuComplex*)d,e,f,(cuComplex*)g,h,i,(cuComplex*)j,k,l,(cuComplex*)m,n,o,p,(cuComplex*)q,r,s,t) 108 #define cusparse_csr_spgeam_bufferSize(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t) cusparseCcsrgeam2_bufferSizeExt(a,b,c,(cuComplex*)d,e,f,(cuComplex*)g,h,i,(cuComplex*)j,k,l,(cuComplex*)m,n,o,p,(cuComplex*)q,r,s,t) 109 #elif defined(PETSC_USE_REAL_DOUBLE) 110 #define cusparse_scalartype CUDA_C_64F 111 #define cusparse_csr_spgeam(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t) cusparseZcsrgeam2(a,b,c,(cuDoubleComplex*)d,e,f,(cuDoubleComplex*)g,h,i,(cuDoubleComplex*)j,k,l,(cuDoubleComplex*)m,n,o,p,(cuDoubleComplex*)q,r,s,t) 112 #define cusparse_csr_spgeam_bufferSize(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t) cusparseZcsrgeam2_bufferSizeExt(a,b,c,(cuDoubleComplex*)d,e,f,(cuDoubleComplex*)g,h,i,(cuDoubleComplex*)j,k,l,(cuDoubleComplex*)m,n,o,p,(cuDoubleComplex*)q,r,s,t) 113 #endif 114 #else /* not complex */ 115 #if defined(PETSC_USE_REAL_SINGLE) 116 #define cusparse_scalartype CUDA_R_32F 117 #define cusparse_csr_spgeam cusparseScsrgeam2 118 #define cusparse_csr_spgeam_bufferSize cusparseScsrgeam2_bufferSizeExt 119 #elif defined(PETSC_USE_REAL_DOUBLE) 120 #define cusparse_scalartype CUDA_R_64F 121 #define cusparse_csr_spgeam cusparseDcsrgeam2 122 #define cusparse_csr_spgeam_bufferSize cusparseDcsrgeam2_bufferSizeExt 123 #endif 124 #endif 125 #else 126 #if defined(PETSC_USE_COMPLEX) 127 #if defined(PETSC_USE_REAL_SINGLE) 128 #define cusparse_csr_spmv(a,b,c,d,e,f,g,h,i,j,k,l,m) cusparseCcsrmv((a),(b),(c),(d),(e),(cuComplex*)(f),(g),(cuComplex*)(h),(i),(j),(cuComplex*)(k),(cuComplex*)(l),(cuComplex*)(m)) 129 #define cusparse_csr_spmm(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p) cusparseCcsrmm((a),(b),(c),(d),(e),(f),(cuComplex*)(g),(h),(cuComplex*)(i),(j),(k),(cuComplex*)(l),(m),(cuComplex*)(n),(cuComplex*)(o),(p)) 130 #define cusparse_csr2csc(a,b,c,d,e,f,g,h,i,j,k,l) cusparseCcsr2csc((a),(b),(c),(d),(cuComplex*)(e),(f),(g),(cuComplex*)(h),(i),(j),(k),(l)) 131 #define cusparse_hyb_spmv(a,b,c,d,e,f,g,h) cusparseChybmv((a),(b),(cuComplex*)(c),(d),(e),(cuComplex*)(f),(cuComplex*)(g),(cuComplex*)(h)) 132 #define cusparse_csr2hyb(a,b,c,d,e,f,g,h,i,j) cusparseCcsr2hyb((a),(b),(c),(d),(cuComplex*)(e),(f),(g),(h),(i),(j)) 133 #define cusparse_hyb2csr(a,b,c,d,e,f) cusparseChyb2csr((a),(b),(c),(cuComplex*)(d),(e),(f)) 134 #define cusparse_csr_spgemm(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t) cusparseCcsrgemm(a,b,c,d,e,f,g,h,(cuComplex*)i,j,k,l,m,(cuComplex*)n,o,p,q,(cuComplex*)r,s,t) 135 #define cusparse_csr_spgeam(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s) cusparseCcsrgeam(a,b,c,(cuComplex*)d,e,f,(cuComplex*)g,h,i,(cuComplex*)j,k,l,(cuComplex*)m,n,o,p,(cuComplex*)q,r,s) 136 #elif defined(PETSC_USE_REAL_DOUBLE) 137 #define cusparse_csr_spmv(a,b,c,d,e,f,g,h,i,j,k,l,m) cusparseZcsrmv((a),(b),(c),(d),(e),(cuDoubleComplex*)(f),(g),(cuDoubleComplex*)(h),(i),(j),(cuDoubleComplex*)(k),(cuDoubleComplex*)(l),(cuDoubleComplex*)(m)) 138 #define cusparse_csr_spmm(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p) cusparseZcsrmm((a),(b),(c),(d),(e),(f),(cuDoubleComplex*)(g),(h),(cuDoubleComplex*)(i),(j),(k),(cuDoubleComplex*)(l),(m),(cuDoubleComplex*)(n),(cuDoubleComplex*)(o),(p)) 139 #define cusparse_csr2csc(a,b,c,d,e,f,g,h,i,j,k,l) cusparseZcsr2csc((a),(b),(c),(d),(cuDoubleComplex*)(e),(f),(g),(cuDoubleComplex*)(h),(i),(j),(k),(l)) 140 #define cusparse_hyb_spmv(a,b,c,d,e,f,g,h) cusparseZhybmv((a),(b),(cuDoubleComplex*)(c),(d),(e),(cuDoubleComplex*)(f),(cuDoubleComplex*)(g),(cuDoubleComplex*)(h)) 141 #define cusparse_csr2hyb(a,b,c,d,e,f,g,h,i,j) cusparseZcsr2hyb((a),(b),(c),(d),(cuDoubleComplex*)(e),(f),(g),(h),(i),(j)) 142 #define cusparse_hyb2csr(a,b,c,d,e,f) cusparseZhyb2csr((a),(b),(c),(cuDoubleComplex*)(d),(e),(f)) 143 #define cusparse_csr_spgemm(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t) cusparseZcsrgemm(a,b,c,d,e,f,g,h,(cuDoubleComplex*)i,j,k,l,m,(cuDoubleComplex*)n,o,p,q,(cuDoubleComplex*)r,s,t) 144 #define cusparse_csr_spgeam(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s) cusparseZcsrgeam(a,b,c,(cuDoubleComplex*)d,e,f,(cuDoubleComplex*)g,h,i,(cuDoubleComplex*)j,k,l,(cuDoubleComplex*)m,n,o,p,(cuDoubleComplex*)q,r,s) 145 #endif 146 #else 147 #if defined(PETSC_USE_REAL_SINGLE) 148 #define cusparse_csr_spmv cusparseScsrmv 149 #define cusparse_csr_spmm cusparseScsrmm 150 #define cusparse_csr2csc cusparseScsr2csc 151 #define cusparse_hyb_spmv cusparseShybmv 152 #define cusparse_csr2hyb cusparseScsr2hyb 153 #define cusparse_hyb2csr cusparseShyb2csr 154 #define cusparse_csr_spgemm cusparseScsrgemm 155 #define cusparse_csr_spgeam cusparseScsrgeam 156 #elif defined(PETSC_USE_REAL_DOUBLE) 157 #define cusparse_csr_spmv cusparseDcsrmv 158 #define cusparse_csr_spmm cusparseDcsrmm 159 #define cusparse_csr2csc cusparseDcsr2csc 160 #define cusparse_hyb_spmv cusparseDhybmv 161 #define cusparse_csr2hyb cusparseDcsr2hyb 162 #define cusparse_hyb2csr cusparseDhyb2csr 163 #define cusparse_csr_spgemm cusparseDcsrgemm 164 #define cusparse_csr_spgeam cusparseDcsrgeam 165 #endif 166 #endif 167 #endif 168 169 #define THRUSTINTARRAY32 thrust::device_vector<int> 170 #define THRUSTINTARRAY thrust::device_vector<PetscInt> 171 #define THRUSTARRAY thrust::device_vector<PetscScalar> 172 173 /* A CSR matrix structure */ 174 struct CsrMatrix { 175 PetscInt num_rows; 176 PetscInt num_cols; 177 PetscInt num_entries; 178 THRUSTINTARRAY32 *row_offsets; 179 THRUSTINTARRAY32 *column_indices; 180 THRUSTARRAY *values; 181 }; 182 183 /* This is struct holding the relevant data needed to a MatSolve */ 184 struct Mat_SeqAIJCUSPARSETriFactorStruct { 185 /* Data needed for triangular solve */ 186 cusparseMatDescr_t descr; 187 cusparseOperation_t solveOp; 188 CsrMatrix *csrMat; 189 #if PETSC_PKG_CUDA_VERSION_GE(9,0,0) 190 csrsv2Info_t solveInfo; 191 #else 192 cusparseSolveAnalysisInfo_t solveInfo; 193 #endif 194 cusparseSolvePolicy_t solvePolicy; /* whether level information is generated and used */ 195 int solveBufferSize; 196 void *solveBuffer; 197 size_t csr2cscBufferSize; /* to transpose the triangular factor (only used for CUDA >= 11.0) */ 198 void *csr2cscBuffer; 199 PetscScalar *AA_h; /* managed host buffer for moving values to the GPU */ 200 }; 201 202 /* This is a larger struct holding all the triangular factors for a solve, transpose solve, and any indices used in a reordering */ 203 struct Mat_SeqAIJCUSPARSETriFactors { 204 Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtr; /* pointer for lower triangular (factored matrix) on GPU */ 205 Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtr; /* pointer for upper triangular (factored matrix) on GPU */ 206 Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtrTranspose; /* pointer for lower triangular (factored matrix) on GPU for the transpose (useful for BiCG) */ 207 Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtrTranspose; /* pointer for upper triangular (factored matrix) on GPU for the transpose (useful for BiCG)*/ 208 THRUSTINTARRAY *rpermIndices; /* indices used for any reordering */ 209 THRUSTINTARRAY *cpermIndices; /* indices used for any reordering */ 210 THRUSTARRAY *workVector; 211 cusparseHandle_t handle; /* a handle to the cusparse library */ 212 PetscInt nnz; /* number of nonzeros ... need this for accurate logging between ICC and ILU */ 213 PetscScalar *a_band_d; /* GPU data for banded CSR LU factorization matrix diag(L)=1 */ 214 int *i_band_d; /* this could be optimized away */ 215 cudaDeviceProp dev_prop; 216 PetscBool init_dev_prop; 217 }; 218 219 struct Mat_CusparseSpMV { 220 PetscBool initialized; /* Don't rely on spmvBuffer != NULL to test if the struct is initialized, */ 221 size_t spmvBufferSize; /* since I'm not sure if smvBuffer can be NULL even after cusparseSpMV_bufferSize() */ 222 void *spmvBuffer; 223 #if PETSC_PKG_CUDA_VERSION_GE(11,0,0) /* these are present from CUDA 10.1, but PETSc code makes use of them from CUDA 11 on */ 224 cusparseDnVecDescr_t vecXDescr,vecYDescr; /* descriptor for the dense vectors in y=op(A)x */ 225 #endif 226 }; 227 228 /* This is struct holding the relevant data needed to a MatMult */ 229 struct Mat_SeqAIJCUSPARSEMultStruct { 230 void *mat; /* opaque pointer to a matrix. This could be either a cusparseHybMat_t or a CsrMatrix */ 231 cusparseMatDescr_t descr; /* Data needed to describe the matrix for a multiply */ 232 THRUSTINTARRAY *cprowIndices; /* compressed row indices used in the parallel SpMV */ 233 PetscScalar *alpha_one; /* pointer to a device "scalar" storing the alpha parameter in the SpMV */ 234 PetscScalar *beta_zero; /* pointer to a device "scalar" storing the beta parameter in the SpMV as zero*/ 235 PetscScalar *beta_one; /* pointer to a device "scalar" storing the beta parameter in the SpMV as one */ 236 #if PETSC_PKG_CUDA_VERSION_GE(11,0,0) 237 cusparseSpMatDescr_t matDescr; /* descriptor for the matrix, used by SpMV and SpMM */ 238 Mat_CusparseSpMV cuSpMV[3]; /* different Mat_CusparseSpMV structs for non-transpose, transpose, conj-transpose */ 239 Mat_SeqAIJCUSPARSEMultStruct() : matDescr(NULL) { 240 for (int i=0; i<3; i++) cuSpMV[i].initialized = PETSC_FALSE; 241 } 242 #endif 243 }; 244 245 /* This is a larger struct holding all the matrices for a SpMV, and SpMV Tranpose */ 246 struct Mat_SeqAIJCUSPARSE { 247 Mat_SeqAIJCUSPARSEMultStruct *mat; /* pointer to the matrix on the GPU */ 248 Mat_SeqAIJCUSPARSEMultStruct *matTranspose; /* pointer to the matrix on the GPU (for the transpose ... useful for BiCG) */ 249 THRUSTARRAY *workVector; /* pointer to a workvector to which we can copy the relevant indices of a vector we want to multiply */ 250 THRUSTINTARRAY32 *rowoffsets_gpu; /* rowoffsets on GPU in non-compressed-row format. It is used to convert CSR to CSC */ 251 PetscInt nrows; /* number of rows of the matrix seen by GPU */ 252 MatCUSPARSEStorageFormat format; /* the storage format for the matrix on the device */ 253 cudaStream_t stream; /* a stream for the parallel SpMV ... this is not owned and should not be deleted */ 254 cusparseHandle_t handle; /* a handle to the cusparse library ... this may not be owned (if we're working in parallel i.e. multiGPUs) */ 255 PetscObjectState nonzerostate; /* track nonzero state to possibly recreate the GPU matrix */ 256 #if PETSC_PKG_CUDA_VERSION_GE(11,0,0) 257 size_t csr2cscBufferSize; /* stuff used to compute the matTranspose above */ 258 void *csr2cscBuffer; /* This is used as a C struct and is calloc'ed by PetscNewLog() */ 259 cusparseCsr2CscAlg_t csr2cscAlg; /* algorithms can be selected from command line options */ 260 cusparseSpMVAlg_t spmvAlg; 261 cusparseSpMMAlg_t spmmAlg; 262 #endif 263 THRUSTINTARRAY *csr2csc_i; 264 PetscSplitCSRDataStructure deviceMat; /* Matrix on device for, eg, assembly */ 265 THRUSTINTARRAY *cooPerm; /* permutation array that sorts the input coo entris by row and col */ 266 THRUSTINTARRAY *cooPerm_a; /* ordered array that indicate i-th nonzero (after sorting) is the j-th unique nonzero */ 267 }; 268 269 PETSC_INTERN PetscErrorCode MatCUSPARSECopyToGPU(Mat); 270 PETSC_INTERN PetscErrorCode MatCUSPARSESetStream(Mat, const cudaStream_t stream); 271 PETSC_INTERN PetscErrorCode MatCUSPARSESetHandle(Mat, const cusparseHandle_t handle); 272 PETSC_INTERN PetscErrorCode MatCUSPARSEClearHandle(Mat); 273 PETSC_INTERN PetscErrorCode MatSetPreallocationCOO_SeqAIJCUSPARSE(Mat,PetscInt,const PetscInt[],const PetscInt[]); 274 PETSC_INTERN PetscErrorCode MatSetValuesCOO_SeqAIJCUSPARSE(Mat,const PetscScalar[],InsertMode); 275 PETSC_INTERN PetscErrorCode MatSeqAIJCUSPARSEMergeMats(Mat,Mat,MatReuse,Mat*); 276 PETSC_INTERN PetscErrorCode MatSeqAIJCUSPARSETriFactors_Reset(Mat_SeqAIJCUSPARSETriFactors_p*); 277 278 PETSC_STATIC_INLINE bool isCudaMem(const void *data) 279 { 280 cudaError_t cerr; 281 struct cudaPointerAttributes attr; 282 enum cudaMemoryType mtype; 283 cerr = cudaPointerGetAttributes(&attr,data); /* Do not check error since before CUDA 11.0, passing a host pointer returns cudaErrorInvalidValue */ 284 cudaGetLastError(); /* Reset the last error */ 285 #if (CUDART_VERSION < 10000) 286 mtype = attr.memoryType; 287 #else 288 mtype = attr.type; 289 #endif 290 if (cerr == cudaSuccess && mtype == cudaMemoryTypeDevice) return true; 291 else return false; 292 } 293 294 #endif 295