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 vote234 views1 answer
Load training data python from coco
Python
34 votes245 views6 answers
Logging python
Python
0 vote202 views1 answer
Pandas read all csv in folder
Python
69 votes259 views5 answers
Get text from txt file python
Python
2 votes239 views1 answer
Python: measure time code
Python
1 vote269 views1 answer
Python split pdf pages
Python
0 vote269 views3 answers
Java random 6 digit number
Python
0 vote273 views1 answer
Pandas convert string column to int list column
Python
-1 vote262 views1 answer
Percentage plot of categorical variable in python woth hue
Python
0 vote260 views1 answer
Python set timezone windows
Python