Login Register

tf.errors.ResourceExhaustedError

class tf.errors.ResourceExhaustedError

Some resource has been exhausted.

For example, this error might be raised if a per-user quota is exhausted, or perhaps the entire file system is out of space.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/client.html#ResourceExhaustedError

doc_TensorFlow

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.errors.ResourceExhaustedError.__init__() tf.errors.ResourceExhaustedError.__init__(node_def, op, message) Creates a ResourceExhaustedError.

tf.errors.CancelledError class tf.errors.CancelledError Raised when an operation or step is cancelled. For example, a long-running operation (e.g. queue.enqueue() may be can

tf.errors.InternalError class tf.errors.InternalError Raised when the system experiences an internal error. This exception is raised when some invariant expected by the run

tf.errors.DataLossError class tf.errors.DataLossError Raised when unrecoverable data loss or corruption is encountered. For example, this may be raised by running a tf.Whol

tf.errors.OutOfRangeError class tf.errors.OutOfRangeError Raised when an operation iterates past the valid input range. This exception is raised in "end-of-file" conditions,