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CUDABlas_cus.h
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#pragma once
/*
Provides a subset of CUDA BLAS functions as templates:
gemm<Dtype>(transa, transb, m, n, k, alpha, a, lda, b, ldb, beta, c,
ldc)
gemv<Dtype>(transa, m, n, alpha, a, lda, x, incx, beta, y, incy)
dot<Dtype>(n, x, incx, y, incy, result)
where Dtype is double, float, at::Half or at::BFloat16 (ROCm, NOT for dot).
The functions are available in at::cuda::blas namespace.
*/
#include <ATen/cuda/CUDAContext.h>
namespace at {
namespace cuda {
namespace blas {
// RAII guard that sets the CuBLAS pointer mode and restores it to
// its previous value when the guard is destroyed
class PointerModeGuard {
public:
PointerModeGuard(cublasHandle_t handle, cublasPointerMode_t mode) :
handle(handle) {
TORCH_CUDABLAS_CHECK(cublasGetPointerMode(handle, &previous_mode));
TORCH_CUDABLAS_CHECK(cublasSetPointerMode(handle, mode));
}
~PointerModeGuard() {
cublasSetPointerMode(handle, previous_mode);
}
private:
cublasHandle_t handle;
cublasPointerMode_t previous_mode;
};
/* LEVEL 3 BLAS FUNCTIONS */
#define CUDABLAS_GEMM_ARGTYPES(Dtype) \
char transa, char transb, int64_t m, int64_t n, int64_t k, Dtype alpha, \
const Dtype *a, int64_t lda, const Dtype *b, int64_t ldb, Dtype beta, \
Dtype *c, int64_t ldc
template <typename Dtype>
inline void gemm(CUDABLAS_GEMM_ARGTYPES(Dtype)) {
AT_ERROR("at::cuda::blas::gemm: not implemented for ", typeid(Dtype).name());
}
template <>
void gemm<double>(CUDABLAS_GEMM_ARGTYPES(double));
template <>
void gemm<float>(CUDABLAS_GEMM_ARGTYPES(float));
#ifndef __HIP_PLATFORM_HCC__
template <>
void gemm<c10::complex<double>>(CUDABLAS_GEMM_ARGTYPES(c10::complex<double>));
#endif
#ifndef __HIP_PLATFORM_HCC__
template <>
void gemm<c10::complex<float>>(CUDABLAS_GEMM_ARGTYPES(c10::complex<float>));
#endif
template <>
void gemm<at::Half>(CUDABLAS_GEMM_ARGTYPES(at::Half));
#if defined(__HIP_PLATFORM_HCC__) || defined(CUDA_VERSION) && CUDA_VERSION >= 11000
template <>
void gemm<at::BFloat16>(CUDABLAS_GEMM_ARGTYPES(at::BFloat16));
#endif
#define CUDABLAS_BGEMM_ARGTYPES(Dtype) \
char transa, char transb, int64_t m, int64_t n, int64_t k, Dtype alpha, \
const Dtype *a, int64_t lda, int64_t stridea, \
const Dtype *b, int64_t ldb, int64_t strideb, \
Dtype beta, Dtype *c, int64_t ldc, int64_t stridec, int64_t num_batches
template <typename Dtype>
inline void bgemm(CUDABLAS_BGEMM_ARGTYPES(Dtype)) {
AT_ERROR("at::cuda::blas::bgemm: not implemented for ", typeid(Dtype).name());
}
template <>
void bgemm<double>(CUDABLAS_BGEMM_ARGTYPES(double));
template <>
void bgemm<float>(CUDABLAS_BGEMM_ARGTYPES(float));
template <>
void bgemm<c10::complex<double>>(CUDABLAS_BGEMM_ARGTYPES(c10::complex<double>));
template <>
void bgemm<c10::complex<float>>(CUDABLAS_BGEMM_ARGTYPES(c10::complex<float>));
template <>
void bgemm<at::Half>(CUDABLAS_BGEMM_ARGTYPES(at::Half));
#if defined(__HIP_PLATFORM_HCC__) || defined(CUDA_VERSION) && CUDA_VERSION >= 11000
template <>
void bgemm<at::BFloat16>(CUDABLAS_BGEMM_ARGTYPES(at::BFloat16));
#endif
/* LEVEL 2 BLAS FUNCTIONS */
#define CUDABLAS_GEMV_ARGTYPES(Dtype) \
char trans, int64_t m, int64_t n, Dtype alpha, const Dtype *a, int64_t lda, \
const Dtype *x, int64_t incx, Dtype beta, Dtype *y, int64_t incy
template <typename Dtype>
inline void gemv(CUDABLAS_GEMV_ARGTYPES(Dtype)) {
AT_ERROR("at::cuda::blas::gemv: not implemented for ", typeid(Dtype).name());
}
template <>
void gemv<double>(CUDABLAS_GEMV_ARGTYPES(double));
template <>
void gemv<float>(CUDABLAS_GEMV_ARGTYPES(float));
#ifndef __HIP_PLATFORM_HCC__
template <>
void gemv<c10::complex<double>>(CUDABLAS_GEMV_ARGTYPES(c10::complex<double>));
template <>
void gemv<c10::complex<float>>(CUDABLAS_GEMV_ARGTYPES(c10::complex<float>));
#endif
template <>
void gemv<at::Half>(CUDABLAS_GEMV_ARGTYPES(at::Half));
#if defined(__HIP_PLATFORM_HCC__) || defined(CUDA_VERSION) && CUDA_VERSION >= 11000
template <>
void gemv<at::BFloat16>(CUDABLAS_GEMV_ARGTYPES(at::BFloat16));
#endif
/* LEVEL 1 BLAS FUNCTIONS */
#define CUDABLAS_DOT_ARGTYPES(Dtype) \
cublasHandle_t handle, int n, const Dtype *x, int incx, const Dtype *y, \
int incy, Dtype *result
template <typename Dtype>
inline void dot(CUDABLAS_DOT_ARGTYPES(Dtype)) {
AT_ERROR("at::cuda::blas::dot: not implemented for ", typeid(Dtype).name());
}
template <>
void dot<double>(CUDABLAS_DOT_ARGTYPES(double));
template <>
void dot<float>(CUDABLAS_DOT_ARGTYPES(float));
template <>
void dot<at::Half>(CUDABLAS_DOT_ARGTYPES(at::Half));
template <>
void dot<c10::complex<double>>(CUDABLAS_DOT_ARGTYPES(c10::complex<double>));
template <>
void dot<c10::complex<float>>(CUDABLAS_DOT_ARGTYPES(c10::complex<float>));
template <typename Dtype>
inline void vdot(CUDABLAS_DOT_ARGTYPES(Dtype)) {
AT_ERROR("at::cuda::blas::vdot: not implemented for ", typeid(Dtype).name());
}
template <>
void vdot<c10::complex<float>>(CUDABLAS_DOT_ARGTYPES(c10::complex<float>));
template <>
void vdot<c10::complex<double>>(CUDABLAS_DOT_ARGTYPES(c10::complex<double>));
// This guards blocks use of getrfBatched and getriBatched on platforms other than cuda
#ifdef CUDART_VERSION
#define CUDABLAS_GETRF_ARGTYPES(Dtype) \
int n, Dtype** dA_array, int ldda, int* ipiv_array, int* info_array, int batchsize
template<class Dtype>
void getrfBatched(CUDABLAS_GETRF_ARGTYPES(Dtype)) {
TORCH_CHECK(false, "at::cuda::blas::getrfBatched: not implemented for ", typeid(Dtype).name());
}
template<>
void getrfBatched<float>(CUDABLAS_GETRF_ARGTYPES(float));
template<>
void getrfBatched<double>(CUDABLAS_GETRF_ARGTYPES(double));
template<>
void getrfBatched<c10::complex<double>>(CUDABLAS_GETRF_ARGTYPES(c10::complex<double>));
template<>
void getrfBatched<c10::complex<float>>(CUDABLAS_GETRF_ARGTYPES(c10::complex<float>));
#define CUDABLAS_GETRI_ARGTYPES(Dtype) \
int n, Dtype** dA_array, int ldda, int* ipiv_array, Dtype** dC_array, int lddc, int* info_array, int batchsize
template<class Dtype>
void getriBatched(CUDABLAS_GETRI_ARGTYPES(Dtype)) {
TORCH_CHECK(false, "at::cuda::blas::getriBatched: not implemented for ", typeid(Dtype).name());
}
template<>
void getriBatched<float>(CUDABLAS_GETRI_ARGTYPES(float));
template<>
void getriBatched<double>(CUDABLAS_GETRI_ARGTYPES(double));
template<>
void getriBatched<c10::complex<double>>(CUDABLAS_GETRI_ARGTYPES(c10::complex<double>));
template<>
void getriBatched<c10::complex<float>>(CUDABLAS_GETRI_ARGTYPES(c10::complex<float>));
#endif // CUDART_VERSION
} // namespace blas
} // namespace cuda
} // namespace at