tf.experimental.async_clear_error
Clear pending operations and error statuses in async execution.
tf.experimental.async_clear_error()
In async execution mode, an error in op/function execution can lead to errors in subsequent ops/functions that are scheduled but not yet executed. Calling this method clears all pending operations and reset the async execution state.
Example:
while True: try: # Step function updates the metric `loss` internally train_step_fn() except tf.errors.OutOfRangeError: tf.experimental.async_clear_error() break logging.info('loss = %s', loss.numpy())
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/experimental/async_clear_error