Uses of Class
org.bytedeco.cuda.cudart.__nv_bfloat16

Packages that use __nv_bfloat16

Package	Description
org.bytedeco.cuda.cudart
org.bytedeco.cuda.global

Uses of __nv_bfloat16 in org.bytedeco.cuda.cudart

Methods in org.bytedeco.cuda.cudart that return __nv_bfloat16

Modifier and Type	Method and Description
__nv_bfloat16	__nv_bfloat16.put(__nv_bfloat16_raw hr)
__nv_bfloat16	__nv_bfloat16.put(double f)
__nv_bfloat16	__nv_bfloat16.put(float f)
__nv_bfloat16	__nv_bfloat162.x()
__nv_bfloat16	__nv_bfloat162.y()

Methods in org.bytedeco.cuda.cudart with parameters of type __nv_bfloat16

Modifier and Type	Method and Description
__nv_bfloat162	__nv_bfloat162.x(__nv_bfloat16 setter)
__nv_bfloat162	__nv_bfloat162.y(__nv_bfloat16 setter)

Constructors in org.bytedeco.cuda.cudart with parameters of type __nv_bfloat16

Constructor and Description
__nv_bfloat162(__nv_bfloat16 a, __nv_bfloat16 b)

Uses of __nv_bfloat16 in org.bytedeco.cuda.global

Methods in org.bytedeco.cuda.global that return __nv_bfloat16

Modifier and Type	Method and Description
static __nv_bfloat16	cudart.__double2bfloat16(double a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts double number to nv_bfloat16 precision in round-to-nearest-even mode and returns \p nv_bfloat16 with converted value.
static __nv_bfloat16	cudart.__float2bfloat16_rd(float a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts float number to nv_bfloat16 precision in round-down mode and returns \p nv_bfloat16 with converted value.
static __nv_bfloat16	cudart.__float2bfloat16_rn(float a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts float number to nv_bfloat16 precision in round-to-nearest-even mode and returns \p nv_bfloat16 with converted value.
static __nv_bfloat16	cudart.__float2bfloat16_ru(float a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts float number to nv_bfloat16 precision in round-up mode and returns \p nv_bfloat16 with converted value.
static __nv_bfloat16	cudart.__float2bfloat16_rz(float a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts float number to nv_bfloat16 precision in round-towards-zero mode and returns \p nv_bfloat16 with converted value.
static __nv_bfloat16	cudart.__float2bfloat16(float a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts float number to nv_bfloat16 precision in round-to-nearest-even mode and returns \p nv_bfloat16 with converted value.

Methods in org.bytedeco.cuda.global with parameters of type __nv_bfloat16

Modifier and Type	Method and Description
static float	cudart.__bfloat162float(__nv_bfloat16 a) \ingroup CUDA_MATH__BFLOAT16_MISC \brief Converts \p nv_bfloat16 number to float.
static int	cublas.cublasTSSgemvBatched_64(cublasContext handle, int trans, long m, long n, float[] alpha, __nv_bfloat16 Aarray, long lda, __nv_bfloat16 xarray, long incx, float[] beta, float[] yarray, long incy, long batchCount)
static int	cublas.cublasTSSgemvBatched_64(cublasContext handle, int trans, long m, long n, FloatBuffer alpha, __nv_bfloat16 Aarray, long lda, __nv_bfloat16 xarray, long incx, FloatBuffer beta, FloatBuffer yarray, long incy, long batchCount)
static int	cublas.cublasTSSgemvBatched_64(cublasContext handle, int trans, long m, long n, FloatPointer alpha, __nv_bfloat16 Aarray, long lda, __nv_bfloat16 xarray, long incx, FloatPointer beta, FloatPointer yarray, long incy, long batchCount)
static int	cublas.cublasTSSgemvBatched(cublasContext handle, int trans, int m, int n, float[] alpha, __nv_bfloat16 Aarray, int lda, __nv_bfloat16 xarray, int incx, float[] beta, float[] yarray, int incy, int batchCount)
static int	cublas.cublasTSSgemvBatched(cublasContext handle, int trans, int m, int n, FloatBuffer alpha, __nv_bfloat16 Aarray, int lda, __nv_bfloat16 xarray, int incx, FloatBuffer beta, FloatBuffer yarray, int incy, int batchCount)
static int	cublas.cublasTSSgemvBatched(cublasContext handle, int trans, int m, int n, FloatPointer alpha, __nv_bfloat16 Aarray, int lda, __nv_bfloat16 xarray, int incx, FloatPointer beta, FloatPointer yarray, int incy, int batchCount)
static int	cublas.cublasTSSgemvStridedBatched_64(cublasContext handle, int trans, long m, long n, float[] alpha, __nv_bfloat16 A, long lda, long strideA, __nv_bfloat16 x, long incx, long stridex, float[] beta, float[] y, long incy, long stridey, long batchCount)
static int	cublas.cublasTSSgemvStridedBatched_64(cublasContext handle, int trans, long m, long n, FloatBuffer alpha, __nv_bfloat16 A, long lda, long strideA, __nv_bfloat16 x, long incx, long stridex, FloatBuffer beta, FloatBuffer y, long incy, long stridey, long batchCount)
static int	cublas.cublasTSSgemvStridedBatched_64(cublasContext handle, int trans, long m, long n, FloatPointer alpha, __nv_bfloat16 A, long lda, long strideA, __nv_bfloat16 x, long incx, long stridex, FloatPointer beta, FloatPointer y, long incy, long stridey, long batchCount)
static int	cublas.cublasTSSgemvStridedBatched(cublasContext handle, int trans, int m, int n, float[] alpha, __nv_bfloat16 A, int lda, long strideA, __nv_bfloat16 x, int incx, long stridex, float[] beta, float[] y, int incy, long stridey, int batchCount)
static int	cublas.cublasTSSgemvStridedBatched(cublasContext handle, int trans, int m, int n, FloatBuffer alpha, __nv_bfloat16 A, int lda, long strideA, __nv_bfloat16 x, int incx, long stridex, FloatBuffer beta, FloatBuffer y, int incy, long stridey, int batchCount)
static int	cublas.cublasTSSgemvStridedBatched(cublasContext handle, int trans, int m, int n, FloatPointer alpha, __nv_bfloat16 A, int lda, long strideA, __nv_bfloat16 x, int incx, long stridex, FloatPointer beta, FloatPointer y, int incy, long stridey, int batchCount)
static int	cublas.cublasTSTgemvBatched_64(cublasContext handle, int trans, long m, long n, float[] alpha, __nv_bfloat16 Aarray, long lda, __nv_bfloat16 xarray, long incx, float[] beta, __nv_bfloat16 yarray, long incy, long batchCount)
static int	cublas.cublasTSTgemvBatched_64(cublasContext handle, int trans, long m, long n, FloatBuffer alpha, __nv_bfloat16 Aarray, long lda, __nv_bfloat16 xarray, long incx, FloatBuffer beta, __nv_bfloat16 yarray, long incy, long batchCount)
static int	cublas.cublasTSTgemvBatched_64(cublasContext handle, int trans, long m, long n, FloatPointer alpha, __nv_bfloat16 Aarray, long lda, __nv_bfloat16 xarray, long incx, FloatPointer beta, __nv_bfloat16 yarray, long incy, long batchCount)
static int	cublas.cublasTSTgemvBatched(cublasContext handle, int trans, int m, int n, float[] alpha, __nv_bfloat16 Aarray, int lda, __nv_bfloat16 xarray, int incx, float[] beta, __nv_bfloat16 yarray, int incy, int batchCount)
static int	cublas.cublasTSTgemvBatched(cublasContext handle, int trans, int m, int n, FloatBuffer alpha, __nv_bfloat16 Aarray, int lda, __nv_bfloat16 xarray, int incx, FloatBuffer beta, __nv_bfloat16 yarray, int incy, int batchCount)
static int	cublas.cublasTSTgemvBatched(cublasContext handle, int trans, int m, int n, FloatPointer alpha, __nv_bfloat16 Aarray, int lda, __nv_bfloat16 xarray, int incx, FloatPointer beta, __nv_bfloat16 yarray, int incy, int batchCount)
static int	cublas.cublasTSTgemvStridedBatched_64(cublasContext handle, int trans, long m, long n, float[] alpha, __nv_bfloat16 A, long lda, long strideA, __nv_bfloat16 x, long incx, long stridex, float[] beta, __nv_bfloat16 y, long incy, long stridey, long batchCount)
static int	cublas.cublasTSTgemvStridedBatched_64(cublasContext handle, int trans, long m, long n, FloatBuffer alpha, __nv_bfloat16 A, long lda, long strideA, __nv_bfloat16 x, long incx, long stridex, FloatBuffer beta, __nv_bfloat16 y, long incy, long stridey, long batchCount)
static int	cublas.cublasTSTgemvStridedBatched_64(cublasContext handle, int trans, long m, long n, FloatPointer alpha, __nv_bfloat16 A, long lda, long strideA, __nv_bfloat16 x, long incx, long stridex, FloatPointer beta, __nv_bfloat16 y, long incy, long stridey, long batchCount)
static int	cublas.cublasTSTgemvStridedBatched(cublasContext handle, int trans, int m, int n, float[] alpha, __nv_bfloat16 A, int lda, long strideA, __nv_bfloat16 x, int incx, long stridex, float[] beta, __nv_bfloat16 y, int incy, long stridey, int batchCount)
static int	cublas.cublasTSTgemvStridedBatched(cublasContext handle, int trans, int m, int n, FloatBuffer alpha, __nv_bfloat16 A, int lda, long strideA, __nv_bfloat16 x, int incx, long stridex, FloatBuffer beta, __nv_bfloat16 y, int incy, long stridey, int batchCount)
static int	cublas.cublasTSTgemvStridedBatched(cublasContext handle, int trans, int m, int n, FloatPointer alpha, __nv_bfloat16 A, int lda, long strideA, __nv_bfloat16 x, int incx, long stridex, FloatPointer beta, __nv_bfloat16 y, int incy, long stridey, int batchCount)