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

2016-10-14 13:07:44

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.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.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.NotFoundError class tf.errors.NotFoundError Raised when a requested entity (e.g., a file or directory) was not found. For example, running the tf.WholeFileReader.

tf.errors.UnauthenticatedError class tf.errors.UnauthenticatedError The request does not have valid authentication credentials. This exception is not currently used.