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