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src/cudamatrix/cublas-wrappers.h
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// cudamatrix/cublas-wrappers.h
// Copyright 2013 Johns Hopkins University (author: Daniel Povey);
// 2017 Shiyin Kang
// See ../../COPYING for clarification regarding multiple authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#ifndef KALDI_CUDAMATRIX_CUBLAS_WRAPPERS_H_
#define KALDI_CUDAMATRIX_CUBLAS_WRAPPERS_H_ 1
// Do not include this file directly. It is to be included
// by .cc files in this directory.
namespace kaldi {
#if HAVE_CUDA == 1
inline cublasStatus_t cublas_gemm(
cublasHandle_t handle, cublasOperation_t transa,
cublasOperation_t transb, int m, int n,int k, float alpha,
const float *A, int lda, const float *B, int ldb, float beta,
float *C, int ldc) {
return cublasSgemm_v2(handle,transa,transb,m,n,k,&alpha,A,lda,B,ldb,&beta,C,ldc);
}
inline cublasStatus_t cublas_gemm(
cublasHandle_t handle, cublasOperation_t transa,
cublasOperation_t transb, int m, int n,int k, double alpha,
const double *A, int lda, const double *B, int ldb, double beta,
double *C, int ldc) {
return cublasDgemm_v2(handle,transa,transb,m,n,k,&alpha,A,lda,B,ldb,&beta,C,ldc);
}
inline cublasStatus_t cublas_ger(
cublasHandle_t handle, int m, int n, float alpha,
const float *x, int incx, const float *y, int incy, float *A, int lda ) {
return cublasSger_v2(handle,m,n,&alpha,x,incx,y,incy,A,lda);
}
inline cublasStatus_t cublas_ger(cublasHandle_t handle, int m, int n, double alpha,
const double *x, int incx, const double *y, int incy, double *A, int lda ) {
return cublasDger_v2(handle,m,n,&alpha,x,incx,y,incy,A,lda);
}
inline cublasStatus_t cublas_gemmBatched(
cublasHandle_t handle, cublasOperation_t transa,
cublasOperation_t transb, int m, int n, int k, float alpha,
const float *A[], int lda, const float *B[], int ldb, float beta,
float *C[], int ldc, int batchCount) {
return cublasSgemmBatched(handle, transa, transb, m, n, k, &alpha, A, lda, B, ldb, &beta, C, ldc, batchCount);
}
inline cublasStatus_t cublas_gemmBatched(
cublasHandle_t handle, cublasOperation_t transa,
cublasOperation_t transb, int m, int n, int k, double alpha,
const double *A[], int lda, const double *B[], int ldb, double beta,
double *C[], int ldc, int batchCount) {
return cublasDgemmBatched(handle, transa, transb, m, n, k, &alpha, A, lda, B, ldb, &beta, C, ldc, batchCount);
}
inline cublasStatus_t cublas_trsm(cublasHandle_t handle, int m, int n,
float alpha, const float* A, int lda,
float* B, int ldb) {
return cublasStrsm_v2(handle,CUBLAS_SIDE_LEFT,CUBLAS_FILL_MODE_UPPER,CUBLAS_OP_N,CUBLAS_DIAG_NON_UNIT,m,n,&alpha,A,lda,B,ldb);
}
inline cublasStatus_t cublas_trsm(cublasHandle_t handle, int m, int n,
double alpha, const double* A, int lda,
double* B, int ldb) {
return cublasDtrsm_v2(handle,CUBLAS_SIDE_LEFT,CUBLAS_FILL_MODE_UPPER,CUBLAS_OP_N,CUBLAS_DIAG_NON_UNIT,m,n,&alpha,A,lda,B,ldb);
}
inline cublasStatus_t cublas_syrk(
cublasHandle_t handle, cublasFillMode_t uplo,
cublasOperation_t trans, int n, int k, float alpha,
const float *A, int lda, float beta, float *C, int ldc) {
return cublasSsyrk_v2(handle,uplo,trans,n,k,&alpha,A,lda,&beta,C,ldc);
}
inline cublasStatus_t cublas_syrk(
cublasHandle_t handle, cublasFillMode_t uplo,
cublasOperation_t trans, int n, int k, double alpha,
const double *A, int lda, double beta, double *C, int ldc) {
return cublasDsyrk_v2(handle,uplo,trans,n,k,&alpha,A,lda,&beta,C,ldc);
}
inline cublasStatus_t cublas_dot(cublasHandle_t handle, int n, const float *x,
int incx, const float *y, int incy,
float *result) {
return cublasSdot_v2(handle, n, x, incx, y, incy, result);
}
inline cublasStatus_t cublas_dot(cublasHandle_t handle, int n, const double *x,
int incx, const double *y, int incy,
double *result) {
return cublasDdot_v2(handle, n, x, incx, y, incy, result);
}
inline cublasStatus_t cublas_asum(cublasHandle_t handle, int n, const float* x,
int incx, float *result) {
return cublasSasum_v2(handle, n, x, incx, result);
}
inline cublasStatus_t cublas_asum(cublasHandle_t handle, int n, const double* x,
int incx, double *result) {
return cublasDasum_v2(handle, n, x, incx, result);
}
inline cublasStatus_t cublas_nrm2(cublasHandle_t handle, int n, const float* x,
int incx, float *result) {
return cublasSnrm2_v2(handle, n, x, incx, result);
}
inline cublasStatus_t cublas_nrm2(cublasHandle_t handle, int n, const double* x,
int incx, double *result) {
return cublasDnrm2_v2(handle, n, x, incx, result);
}
inline cudaError_t cublas_copy(cublasHandle_t handle, int n, const float* x,
int incx, double* y, int incy) {
int dimBlock(CU1DBLOCK);
int dimGrid(n_blocks(n, CU1DBLOCK));
cublas_copy_kaldi_fd(dimGrid, dimBlock, n, x, incx, y, incy);
return cudaGetLastError();
}
inline cudaError_t cublas_copy(cublasHandle_t handle, int n, const double* x,
int incx, float* y, int incy) {
int dimBlock(CU1DBLOCK);
int dimGrid(n_blocks(n, CU1DBLOCK));
cublas_copy_kaldi_df(dimGrid, dimBlock, n, x, incx, y, incy);
return cudaGetLastError();
}
inline cublasStatus_t cublas_copy(cublasHandle_t handle, int n, const float* x,
int incx, float* y, int incy) {
return cublasScopy_v2(handle,n,x,incx,y,incy);
}
inline cublasStatus_t cublas_copy(cublasHandle_t handle, int n, const double* x,
int incx, double* y, int incy) {
return cublasDcopy_v2(handle,n,x,incx,y,incy);
}
inline cublasStatus_t cublas_scal(cublasHandle_t handle, int n, float alpha,
float* mat, int incx) {
return cublasSscal_v2(handle, n, &alpha, mat, incx);
}
inline cublasStatus_t cublas_scal(cublasHandle_t handle, int n, double alpha,
double* mat, int incx) {
return cublasDscal_v2(handle, n, &alpha, mat, incx);
}
inline cublasStatus_t cublas_axpy(cublasHandle_t handle, int n, float alpha,
const float* x, int incx, float* y, int incy) {
return cublasSaxpy_v2(handle, n, &alpha, x, incx, y, incy);
}
inline cublasStatus_t cublas_axpy(cublasHandle_t handle, int n, double alpha,
const double* x, int incx, double* y, int incy) {
return cublasDaxpy_v2(handle, n, &alpha, x, incx, y, incy);
}
inline cublasStatus_t cublas_gemv(
cublasHandle_t handle, cublasOperation_t trans,
int m, int n, float alpha, const float* A, int lda, const float* x,
int incx, float beta, float* y, int incy) {
return cublasSgemv_v2(handle,trans,m,n,&alpha,A,lda,x,incx,&beta,y,incy);
}
inline cublasStatus_t cublas_gemv(
cublasHandle_t handle, cublasOperation_t trans,
int m, int n, double alpha, const double* A, int lda, const double* x,
int incx, double beta, double* y, int incy) {
return cublasDgemv_v2(handle,trans,m,n,&alpha,A,lda,x,incx,&beta,y,incy);
}
inline cublasStatus_t cublas_spmv(
cublasHandle_t handle, cublasFillMode_t uplo,
int n, float alpha, const float *AP, const float *x, int incx,
float beta, float *y, int incy) {
return cublasSspmv_v2(handle, uplo, n, &alpha, AP, x, incx, &beta, y, incy);
}
inline cublasStatus_t cublas_spmv(
cublasHandle_t handle, cublasFillMode_t uplo,
int n, double alpha, const double *AP, const double *x, int incx,
double beta, double *y, int incy) {
return cublasDspmv_v2(handle, uplo, n, &alpha, AP, x, incx, &beta, y, incy);
}
// Use caution with these, the 'transpose' argument is the opposite of what it
// should really be, due to CUDA storing things in column major order. We also
// had to switch 'l' to 'u'; we view our packed matrices as lower-triangular,
// row-by-row, but CUDA views the same layout as upper-triangular,
// column-by-column.
inline cublasStatus_t cublas_tpmv(cublasHandle_t handle, cublasOperation_t trans,
int n, const float* Ap, float* x, int incx) {
return cublasStpmv_v2(handle, CUBLAS_FILL_MODE_UPPER, trans, CUBLAS_DIAG_NON_UNIT, n, Ap, x, incx);
}
inline cublasStatus_t cublas_tpmv(cublasHandle_t handle, cublasOperation_t trans,
int n, const double* Ap, double* x,int incx) {
return cublasDtpmv_v2(handle, CUBLAS_FILL_MODE_UPPER, trans, CUBLAS_DIAG_NON_UNIT, n, Ap, x, incx);
}
inline cublasStatus_t cublas_spr(cublasHandle_t handle, cublasFillMode_t uplo,
int n, float alpha, const float *x, int incx,
float *AP) {
return cublasSspr_v2(handle, uplo, n, &alpha, x, incx, AP);
}
inline cublasStatus_t cublas_spr(cublasHandle_t handle, cublasFillMode_t uplo,
int n, double alpha, const double *x, int incx,
double *AP) {
return cublasDspr_v2(handle, uplo, n, &alpha, x, incx, AP);
}
//
// cuSPARSE wrappers
//
inline cusparseStatus_t cusparse_csr2csc(cusparseHandle_t handle, int m, int n,
int nnz, const float *csrVal,
const int *csrRowPtr,
const int *csrColInd, float *cscVal,
int *cscRowInd, int *cscColPtr,
cusparseAction_t copyValues,
cusparseIndexBase_t idxBase) {
return cusparseScsr2csc(handle, m, n, nnz, csrVal, csrRowPtr, csrColInd,
cscVal, cscRowInd, cscColPtr, copyValues, idxBase);
}
inline cusparseStatus_t cusparse_csr2csc(cusparseHandle_t handle, int m, int n,
int nnz, const double *csrVal,
const int *csrRowPtr,
const int *csrColInd, double *cscVal,
int *cscRowInd, int *cscColPtr,
cusparseAction_t copyValues,
cusparseIndexBase_t idxBase) {
return cusparseDcsr2csc(handle, m, n, nnz, csrVal, csrRowPtr, csrColInd,
cscVal, cscRowInd, cscColPtr, copyValues, idxBase);
}
inline cusparseStatus_t cusparse_csrmm(cusparseHandle_t handle,
cusparseOperation_t transA, int m, int n,
int k, int nnz, const float *alpha,
const cusparseMatDescr_t descrA,
const float *csrValA,
const int *csrRowPtrA,
const int *csrColIndA, const float *B,
int ldb, const float *beta, float *C,
int ldc) {
return cusparseScsrmm(handle, transA, m, n, k, nnz, alpha, descrA, csrValA,
csrRowPtrA, csrColIndA, B, ldb, beta, C, ldc);
}
inline cusparseStatus_t cusparse_csrmm(cusparseHandle_t handle,
cusparseOperation_t transA, int m, int n,
int k, int nnz, const double *alpha,
const cusparseMatDescr_t descrA,
const double *csrValA,
const int *csrRowPtrA,
const int *csrColIndA, const double *B,
int ldb, const double *beta, double *C,
int ldc) {
return cusparseDcsrmm(handle, transA, m, n, k, nnz, alpha, descrA, csrValA,
csrRowPtrA, csrColIndA, B, ldb, beta, C, ldc);
}
inline cusparseStatus_t cusparse_csrmm2(cusparseHandle_t handle,
cusparseOperation_t transA,
cusparseOperation_t transB, int m,
int n, int k, int nnz,
const float *alpha,
const cusparseMatDescr_t descrA,
const float *csrValA,
const int *csrRowPtrA,
const int *csrColIndA, const float *B,
int ldb, const float *beta, float *C,
int ldc) {
return cusparseScsrmm2(handle, transA, transB, m, n, k, nnz, alpha, descrA,
csrValA, csrRowPtrA, csrColIndA, B, ldb, beta, C, ldc);
}
inline cusparseStatus_t cusparse_csrmm2(cusparseHandle_t handle,
cusparseOperation_t transA,
cusparseOperation_t transB, int m,
int n, int k, int nnz,
const double *alpha,
const cusparseMatDescr_t descrA,
const double *csrValA,
const int *csrRowPtrA,
const int *csrColIndA, const double *B,
int ldb, const double *beta, double *C,
int ldc) {
return cusparseDcsrmm2(handle, transA, transB, m, n, k, nnz, alpha, descrA,
csrValA, csrRowPtrA, csrColIndA, B, ldb, beta, C, ldc);
}
#endif
}
// namespace kaldi
#endif
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