import numpy as np
import gnumpy as gp
gp.garray(np.ones([10000,100000]))
garray([[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
...,
[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.]])
gp.garray(np.ones([100000,100000]))
Traceback (most recent call last):
File "", line 1, in
File "/users4/qkshi/anaconda2/lib/python2.7/site-packages/gnumpy.py", line 731, in init
if npa.size!=0: cm.numpy_array[:] = npa.reshape((-1, 1), order='C') # no cudamat.reformat is needed, because that's only dtype and order change, which are handled by the assignment anyway
ValueError: could not broadcast input array from shape (10000000000,1) into shape (1410065408,1)
