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

0 vote276 views2 answers
Binary Search tree implementation in python
Python
0 vote279 views1 answer
Tech with tim
Python
0 vote248 views1 answer
How to make a distance function in python
Python
0 vote275 views1 answer
Python cube turtle
Python
-1 vote316 views2 answers
Django forms error customize
Python Django
0 vote264 views1 answer
Np.conjugate
Python
0 vote300 views1 answer
'djdt' is not a registered namespace
Python
0 vote270 views1 answer
Idiomatic python
Python
76 votes332 views6 answers
How to iterate through a list in python
Python
83 votes280 views2 answers
Download python for windows7 64 bit
Python