tf.experimental.async_clear_error  |  TensorFlow v2.16.1 (original) (raw)

tf.experimental.async_clear_error

Clear pending operations and error statuses in async execution.

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tf.compat.v1.experimental.async_clear_error

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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Last updated 2024-04-26 UTC.