maxframe.tensor.atleast_2d

maxframe.tensor.atleast_2d(*tensors)

View inputs as tensors with at least two dimensions.

Parameters:

• tensors1 (array_like) – One or more array-like sequences. Non-tensor inputs are converted to tensors. Tensors that already have two or more dimensions are preserved.

• tensors2 (array_like) – One or more array-like sequences. Non-tensor inputs are converted to tensors. Tensors that already have two or more dimensions are preserved.

• ... (array_like) – One or more array-like sequences. Non-tensor inputs are converted to tensors. Tensors that already have two or more dimensions are preserved.

Returns:

res, res2, … – A tensor, or list of tensors, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.

Return type:

Tensor

See also

atleast_1d, atleast_3d

Examples

>>> import maxframe.tensor as mt

>>> mt.atleast_2d(3.0).execute()
array([[ 3.]])

>>> x = mt.arange(3.0)
>>> mt.atleast_2d(x).execute()
array([[ 0.,  1.,  2.]])

>>> mt.atleast_2d(1, [1, 2], [[1, 2]]).execute()
[array([[1]]), array([[1, 2]]), array([[1, 2]])]