skcuda.linalg.transpose¶

skcuda.linalg.transpose(a_gpu, handle=None)[source]¶

Matrix transpose.

Transpose a matrix in device memory and return an object representing the transposed matrix.

Parameters:	a_gpu (pycuda.gpuarray.GPUArray) – Input matrix of shape (m, n).
Returns:	at_gpu (pycuda.gpuarray.GPUArray) – Transposed matrix of shape (n, m). handle (int) – CUBLAS context. If no context is specified, the default handle from skcuda.misc._global_cublas_handle is used.

Examples

>>> import pycuda.autoinit
>>> import pycuda.driver as drv
>>> import pycuda.gpuarray as gpuarray
>>> import numpy as np
>>> import skcuda.linalg as linalg
>>> linalg.init()
>>> a = np.array([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]], np.float32)
>>> a_gpu = gpuarray.to_gpu(a)
>>> at_gpu = linalg.transpose(a_gpu)
>>> np.all(a.T == at_gpu.get())
True
>>> b = np.array([[1j, 2j, 3j, 4j, 5j, 6j], [7j, 8j, 9j, 10j, 11j, 12j]], np.complex64)
>>> b_gpu = gpuarray.to_gpu(b)
>>> bt_gpu = linalg.transpose(b_gpu)
>>> np.all(b.T == bt_gpu.get())
True