mxnet.np.squeeze¶
-
squeeze
(a, axis=None, out=None)¶ Remove single-dimensional entries from the shape of an array.
- Parameters
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.
- Returns
squeezed – The input array, 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
ndarray
- 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
>>> x = np.array([[[0], [1], [2]]]) >>> x.shape (1, 3, 1) >>> np.squeeze(x).shape (3,) >>> np.squeeze(x, axis=0).shape (3, 1) >>> np.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 >>> np.squeeze(x, axis=2).shape (1, 3)
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