tf.errors.ResourceExhaustedError | TensorFlow v2.16.1 (original) (raw)
tf.errors.ResourceExhaustedError
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Raised when some resource has been exhausted while running operation.
Inherits From: OpError
View aliases
Compat aliases for migration
SeeMigration guide for more details.
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 intoResourceExhaustedError 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. |
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Last updated 2024-04-26 UTC.