- mars.tensor.squeeze(a, axis=None)#
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.
- Return type
ValueError – If axis is not None, and an axis being squeezed is not of length 1
>>> import mars.tensor as mt
>>> x = mt.array([[, , ]]) >>> x.shape (1, 3, 1) >>> mt.squeeze(x).shape (3,) >>> mt.squeeze(x, axis=0).shape (3, 1) >>> 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 (1, 3)