W3cubDocs

tf.errors.ResourceExhaustedError

Raised when some resource has been exhausted while running operation.

Inherits From: OpError

View aliases

Compat aliases for migration

tf.compat.v1.errors.ResourceExhaustedError

tf.errors.ResourceExhaustedError(
    node_def, op, message, *args
)

For example, this error might be raised if a per-user quota is exhausted, or perhaps the entire file system is out of space. If running into ResourceExhaustedError due to out of memory (OOM), try to use smaller batch size or reduce dimension size of model weights.

Attributes
`error_code`	The integer error code that describes the error.
`experimental_payloads`	A dictionary describing the details of the error.
`message`	The error message that describes the error.
`node_def`	The `NodeDef` proto representing the op that failed.
`op`	The operation that failed, if known. Note: If the failed op was synthesized at runtime, e.g. a `Send` or `Recv` op, there will be no corresponding `tf.Operation` object. In that case, this will return `None`, and you should instead use the `tf.errors.OpError.node_def` to discover information about the op.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/errors/ResourceExhaustedError