tf.keras.experimental.terminate_keras_multiprocessing_pools
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Destroy Keras' multiprocessing pools to prevent deadlocks.
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).
Args | |
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grace_period | Time (in seconds) to wait for process cleanup to propagate. |
use_sigkill | Boolean of whether or not to perform a cleanup pass using SIGKILL. |
Returns | |
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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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/experimental/terminate_keras_multiprocessing_pools