| View source on GitHub |
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 | |
|---|---|
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 | |
|---|---|
| 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. |
© 2020 The TensorFlow Authors. All rights reserved.
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