mars.tensor.squeeze¶

mars.tensor.
squeeze
(a, axis=None)[source]¶ Remove singledimensional entries from the shape of a tensor.
 Parameters
 Returns
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
Tensor
 Raises
ValueError – If axis is not None, and an axis being squeezed is not of length 1
See also
expand_dims
The inverse operation, adding singleton dimensions
reshape
Insert, remove, and combine dimensions, and resize existing ones
Examples
>>> import mars.tensor as mt
>>> x = mt.array([[[0], [1], [2]]]) >>> 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)