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

19 votes337 views2 answers
Python string cut first n characters
Python
0 vote338 views1 answer
Conda enviroment python version
Python
0 vote317 views1 answer
Python get list memory size
Python
12 votes340 views2 answers
Python unresolved import vscode
Python
0 vote339 views1 answer
Prometheus API query
Python
0 vote288 views1 answer
Opencv change color
Python
-2 votes335 views1 answer
Python same values in two lists
Python
0 vote357 views1 answer
Python append filename to path
Python
31 votes322 views3 answers
Python get names of columns
Python
0 vote429 views2 answers
Unreadable Notebook: jpyter
Python