|TensorFlow 1 version||View source on GitHub|
Destroy Keras' multiprocessing pools to prevent deadlocks.
Compat aliases for migration
See Migration guide for more details.
tf.keras.experimental.terminate_keras_multiprocessing_pools( grace_period=0.1, use_sigkill=False )
In general multiprocessing.Pool can interact quite badly with other, seemingly unrelated, parts of a codebase due to Pool's reliance on fork. This method cleans up all pools which are known to belong to Keras (and thus can be safely terminated).
||Time (in seconds) to wait for process cleanup to propagate.|
||Boolean of whether or not to perform a cleanup pass using SIGKILL.|
|A list of human readable strings describing all issues encountered. It is up to the caller to decide whether to treat this as an error condition.|