Exception types for TensorFlow errors.
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.
class raise_exception_on_not_ok_status: Context manager to check for C API status.