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

2 votes333 views1 answer
Python argument parser default value
Python
6 votes316 views4 answers
What is a python module
Python
7 votes308 views2 answers
What is the django orm
Python
3 votes336 views2 answers
Python append value to dictionary list
Python
19 votes336 views1 answer
Python string cut left
Python
2 votes380 views3 answers
Streamlit pip
Python
0 vote338 views2 answers
Style django forms with crisp
Python Django
5 votes352 views1 answer
Finding the index of an element in a pandas df
Python
2 votes345 views1 answer
Python pip graphviz
Python
11 votes764 views6 answers
Enumerate python
Python