tf.errors.ResourceExhaustedError
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Raised when some resource has been exhausted while running operation.
Inherits From: OpError
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.
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Last updated 2023-10-06 UTC.
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