TensorFlow 1 version |
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.
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(...)