skcuda.linalg.mdot¶

skcuda.linalg.mdot(*args, **kwargs)[source]¶

Product of several matrices.

Computes the matrix product of several arrays of shapes.

Parameters:	b_gpu, .. (a_gpu,) – Arrays to multiply. handle (int) – CUBLAS context. If no context is specified, the default handle from skcuda.misc._global_cublas_handle is used.
Returns:	c_gpu – Matrix product of a_gpu, b_gpu, etc.
Return type:	pycuda.gpuarray.GPUArray

Notes

The input matrices must all contain elements of the same data type.

Examples

>>> import pycuda.gpuarray as gpuarray
>>> import pycuda.autoinit
>>> import numpy as np
>>> import skcuda.linalg as linalg
>>> linalg.init()
>>> a = np.asarray(np.random.rand(4, 2), np.float32)
>>> b = np.asarray(np.random.rand(2, 2), np.float32)
>>> c = np.asarray(np.random.rand(2, 2), np.float32)
>>> a_gpu = gpuarray.to_gpu(a)
>>> b_gpu = gpuarray.to_gpu(b)
>>> c_gpu = gpuarray.to_gpu(c)
>>> d_gpu = linalg.mdot(a_gpu, b_gpu, c_gpu)
>>> np.allclose(np.dot(a, np.dot(b, c)), d_gpu.get())
True