Module: tf.errors

Module: tf.errors

Module tf.errors

Defined in tensorflow/python/framework/errors.py.

Exception types for TensorFlow errors.

Classes

class AbortedError: The operation was aborted, typically due to a concurrent action.

class AlreadyExistsError: Raised when an entity that we attempted to create already exists.

class CancelledError: Raised when an operation or step is cancelled.

class DataLossError: Raised when unrecoverable data loss or corruption is encountered.

class DeadlineExceededError: Raised when a deadline expires before an operation could complete.

class FailedPreconditionError: Operation was rejected because the system is not in a state to execute it.

class InternalError: Raised when the system experiences an internal error.

class InvalidArgumentError: Raised when an operation receives an invalid argument.

class NotFoundError: Raised when a requested entity (e.g., a file or directory) was not found.

class OpError: A generic error that is raised when TensorFlow execution fails.

class OutOfRangeError: Raised when an operation iterates past the valid input range.

class PermissionDeniedError: Raised when the caller does not have permission to run an operation.

class ResourceExhaustedError: Some resource has been exhausted.

class UnauthenticatedError: The request does not have valid authentication credentials.

class UnavailableError: Raised when the runtime is currently unavailable.

class UnimplementedError: Raised when an operation has not been implemented.

class UnknownError: Unknown error.

Functions

error_code_from_exception_type(...)

exception_type_from_error_code(...)

raise_exception_on_not_ok_status(...)

Other Members

ABORTED

ALREADY_EXISTS

CANCELLED

DATA_LOSS

DEADLINE_EXCEEDED

FAILED_PRECONDITION

INTERNAL

INVALID_ARGUMENT

NOT_FOUND

OK

OUT_OF_RANGE

PERMISSION_DENIED

RESOURCE_EXHAUSTED

UNAUTHENTICATED

UNAVAILABLE

UNIMPLEMENTED

UNKNOWN