Tf.squeeze()

Removes dimensions of size 1 from the shape of a tensor.

tf.squeeze(
    input, axis=None, name=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.

Example:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
tf.shape(tf.squeeze(t))  # [2, 3]
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1]
tf.shape(tf.squeeze(t, [2, 4]))  # [1, 2, 3, 1]

Source: tensorflow.org

Similar codes

2 votes194 views3 answers
If string contains list of letters python
Python
0 vote194 views1 answer
ModuleNotFoundError: No module named 'boto3'
Python
14 votes229 views6 answers
Char in python
Python
0 vote216 views1 answer
How to load keras model from json
Python
0 vote224 views1 answer
Fillna spark dataframe
Python
0 vote209 views1 answer
Isat in panadas datframe
Python
5 votes150 views2 answers
Change space to underscore python
Python
0 vote206 views1 answer
Ignore pytest errors or warnings
Python
0 vote205 views1 answer
Pydub play audio
Python
0 vote196 views1 answer
Append vector to vector python
Python