scikits.cuda.cublas.cublasCscal

scikits.cuda.cublas.cublasCscal(handle, n, alpha, x, incx)[source]

Scale a single-precision complex vector by a single-precision complex scalar.

Replaces a single-precision complex vector x with alpha * x.

Parameters:

handle : int

CUBLAS context.

n : int

Number of elements in input vectors.

alpha : numpy.complex64

Scalar multiplier.

x : ctypes.c_void_p

Pointer to single-precision complex input/output vector.

incx : int

Storage spacing between elements of x.

Examples

>>> import pycuda.autoinit
>>> import pycuda.gpuarray as gpuarray
>>> import numpy as np
>>> x = (np.random.rand(5)+1j*np.random.rand(5)).astype(np.complex64)
>>> x_gpu = gpuarray.to_gpu(x)
>>> alpha = np.complex64(np.random.rand()+1j*np.random.rand())
>>> h = cublasCreate()
>>> cublasCscal(h, x.size, alpha, x_gpu.gpudata, 1)
>>> cublasDestroy(h)
>>> np.allclose(x_gpu.get(), alpha*x)
True