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
.
# '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]
Note: ifinput
is atf.RaggedTensor
, then this operation takesO(N)
time, whereN
is the number of elements in the squeezed dimensions.
Args | |
---|---|
input | A Tensor . The input to squeeze. |
axis | An optional list of ints . Defaults to [] . If specified, only squeezes the dimensions listed. The dimension index starts at 0. It is an error to squeeze a dimension that is not 1. Must be in the range [-rank(input), rank(input)) . Must be specified if input is a RaggedTensor . |
name | A name for the operation (optional). |
squeeze_dims | Deprecated keyword argument that is now axis. |
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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/squeeze