Remove single-dimensional entries from the shape of a tensor.
a (array_like) – Input data.
axis (None or int or tuple of ints, optional) – Selects a subset of the single-dimensional entries in the
shape. If an axis is selected with shape entry greater than
one, an error is raised.
squeezed – The input tensor, but with all or a subset of the
dimensions of length 1 removed. This is always a itself
or a view into a.
ValueError – If axis is not None, and an axis being squeezed is not of length 1
The inverse operation, adding singleton dimensions
Insert, remove, and combine dimensions, and resize existing ones
>>> import mars.tensor as mt
>>> x = mt.array([[, , ]])
(1, 3, 1)
>>> mt.squeeze(x, axis=0).shape
>>> mt.squeeze(x, axis=1).shape
Traceback (most recent call last):
ValueError: cannot select an axis to squeeze out which has size not equal to one
>>> mt.squeeze(x, axis=2).shape