Exception types for TensorFlow errors.
Classes
class AbortedError: Raised when an 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 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: Raised when some prerequisites are not met when running an operation.
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: The base class for TensorFlow exceptions.
class OutOfRangeError: Raised when an operation iterates past the valid range.
class PermissionDeniedError: Raised when the caller does not have permission to run an operation.
class ResourceExhaustedError: Raised when some resource has been exhausted while running operation.
class UnauthenticatedError: Raised when 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.
Functions
error_code_from_exception_type(...)
exception_type_from_error_code(...)