python-tensorflowHow can I use the get_graph attribute in the 'tensorflow.python.keras.backend' module?

The get_graph() attribute is a function within the tensorflow.python.keras.backend module that can be used to retrieve the current TensorFlow graph. This is useful in cases where you want to access the TensorFlow graph from within a Keras model, for example to add custom operations.

Example code

import tensorflow as tf
from tensorflow.python.keras.backend import get_graph

graph = get_graph()
print(graph)

Output example

<tensorflow.python.framework.ops.Graph object at 0x7f7a7c7fad30>

The code above imports the tensorflow and tensorflow.python.keras.backend modules, then uses the get_graph() attribute to retrieve the current TensorFlow graph and assign it to the graph variable. The graph variable is then printed to the console.

The parts of the code are as follows:

• import tensorflow as tf: imports the TensorFlow module and assigns it to the tf variable.
• from tensorflow.python.keras.backend import get_graph: imports the get_graph() attribute from the tensorflow.python.keras.backend module.
• graph = get_graph(): assigns the current TensorFlow graph to the graph variable.
• print(graph): prints the graph variable to the console.

Helpful links

• TensorFlow Documentation: get_graph()
• TensorFlow Documentation: Graph

Edit this code on GitHub