Sess.run tensorflow

tf.compat.v1.Session
A class for running TensorFlow operations.

run(
    fetches, feed_dict=None, options=None, run_metadata=None
)

Runs operations and evaluates tensors in fetches.

This method runs one "step" of TensorFlow computation, 
by running the necessary graph fragment to execute every Operation 
and evaluate every Tensor in fetches, substituting the values in 
feed_dict for the corresponding input values.

The fetches argument may be a single graph element, or an arbitrarily 
nested list, tuple, namedtuple, dict, or OrderedDict containing graph 
elements at its leaves.

The optional feed_dict argument allows the caller to override the 
value of tensors in the graph. Each value in feed_dict must be 
convertible to a numpy array of the dtype of the corresponding key.

The optional options argument expects a [RunOptions] proto. 
The options allow controlling the behavior of this particular step 
(e.g. turning tracing on).

The optional run_metadata argument expects a [RunMetadata] proto. 
When appropriate, the non-Tensor output of this step will be 
collected there. For example, when users turn on tracing in options, 
the profiled info will be collected into this argument and passed 
back.

Source: tensorflow.org

Similar codes

0 vote128 views2 answers
Python verifier qu'un string est un chiffre
Python
0 vote112 views1 answer
Nested For loop in Python
Python
1 vote196 views2 answers
While loop in python for do you want to continue
Python
0 vote124 views1 answer
How to import pygame onto python
Python
0 vote132 views1 answer
How to make a nice login django form
Python
5 votes148 views4 answers
If queryset is empty django
Python Django
0 vote141 views1 answer
Turtle meaning
Python
0 vote115 views1 answer
Feature scaling in python
Python
0 vote130 views1 answer
Function to measure intersection over union
Python
0 vote125 views1 answer
API curl python pandas
Python