ND4J CLI vs. Numpy


ND4J CLI

arange(9).reshape(3,3).shape
[3, 3]

Numpy

In [2]: np.arange(9).reshape(3,3).shape
Out[2]: (3, 3)

ND4J CLI

a = array([[2,3,4],[4,5,6]])
b = transpose(a)
b
[[ 2.0000, 4.0000],
[ 3.0000, 5.0000],
[ 4.0000, 6.0000]]



Numpy

In [16]: a = np.array([[2,3,4],[4,5,6]])

In [17]: b = np.transpose(a)

In [18]: b
Out[18]:
array([[2, 4],
[3, 5],
[4, 6]])