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Removes dimensions of size 1 from the shape of a tensor. (deprecated arguments)
tf.compat.v1.squeeze(
input, axis=None, name=None, squeeze_dims=None
)
Given a tensor input
, this operation returns a tensor of the same type with
all dimensions of size 1 removed. If you don't want to remove all size 1
dimensions, you can remove specific size 1 dimensions by specifying
axis
.
For example:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
t = tf.ones([1, 2, 1, 3, 1, 1])
print(tf.shape(tf.squeeze(t)).numpy())
[2 3]
Or, to remove specific size 1 dimensions:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
t = tf.ones([1, 2, 1, 3, 1, 1])
print(tf.shape(tf.squeeze(t, [2, 4])).numpy())
[1 2 3 1]
Returns | |
---|---|
A Tensor . Has the same type as input .
Contains the same data as input , but has one or more dimensions of
size 1 removed.
|
Raises | |
---|---|
ValueError
|
When both squeeze_dims and axis are specified.
|