{ }
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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.