tf.compat.v1.reset_default_graph

Clears the default graph stack and resets the global default graph.

tf.compat.v1.reset_default_graph() -> None

Migrate to TF2

Caution: This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the TensorFlow v1 to TensorFlow v2 migration guide for instructions on how to migrate the rest of your code.

reset_default_graph does not work with either eager execution or tf.function, and you should not invoke it directly. To migrate code that uses Graph-related functions to TF2, rewrite the code without them. See the migration guide for more description about the behavior and semantic changes between Tensorflow 1 and Tensorflow 2.

Description

Used in the notebooks

Used in the tutorials
Generating Images with BigGAN Classify Flowers with Transfer Learning Generating Images with Little Data Using S3GAN Fitting Dirichlet Process Mixture Model Using Preconditioned Stochastic Gradient Langevin Dynamics Linear Mixed-Effect Regression in {TF Probability, R, Stan}

Note: The default graph is a property of the current thread. This function applies only to the current thread. Calling this function while a tf.compat.v1.Session or tf.compat.v1.InteractiveSession is active will result in undefined behavior. Using any previously created tf.Operation or tf.Tensor objects after calling this function will result in undefined behavior.

Raises
AssertionError	If this function is called within a nested graph.