mindspore.numpy.ix_

mindspore.numpy.ix_(*args)

Constructs an open mesh from multiple sequences.

This function takes N 1-D sequences and returns N outputs with N dimensions each, such that the shape is 1 in all but one dimension and the dimension with the non-unit shape value cycles through all N dimensions. Using ix_ one can quickly construct index arrays that will index the cross product. a[np.ix_([1,3],[2,5])] returns the array [[a[1,2] a[1,5]], [a[3,2] a[3,5]]].

Note

Boolean masks are not supported.

Parameters

*args (Tensor) – 1-D sequences.

Returns

Tuple of Tensor, N arrays with N dimensions each, with N the number of input sequences. Together these arrays form an open mesh.

Raises

TypeError – if the input is not a tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> ixgrid = np.ix_(np.array([0, 1]), np.array([2, 4]))
>>> print(ixgrid)
(Tensor(shape=[2, 1], dtype=Int32, value=
[[0],
[1]]), Tensor(shape=[1, 2], dtype=Int32, value=
[[2, 4]]))