tf.errors

参考 tf.errors - 云+社区 - 腾讯云

目录

一、总述

1、类

2、函数

3、Other Members

二、重要的类

1、类OutOfRangeError

---

TensorFlow错误的异常类型。

一、总述

1、类

• 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.

2、函数

• error_code_from_exception_type(...)
• exception_type_from_error_code(...)

3、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

二、重要的类

1、类OutOfRangeError

Inherits From: OpError

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

See the guides: Reading data > QueueRunner, Running Graphs > Error classes and convenience functions

Raised when an operation iterates past the valid input range.

This exception is raised in "end-of-file" conditions, such as when a tf.QueueBase.dequeue operation is blocked on an empty queue, and a tf.QueueBase.close operation executes.

Properties

error_code

The integer error code that describes the error.

message

The error message that describes the error.

node_def

The NodeDef proto representing the op that failed.

op

The operation that failed, if known.

N.B. If the failed op was synthesized at runtime, e.g. a Send or Recv op, there will be no corresponding tf.Operation object. In that case, this will return None, and you should instead use the tf.OpError.node_def to discover information about the op.

Returns:

• The Operation that failed, or None.

Methods

__init__

__init__(
    node_def,
    op,
    message
)

Creates an OutOfRangeError.

2、tf.errors.OpError

Class OpError

A generic error that is raised when TensorFlow execution fails.

Aliases:

• Class tf.compat.v1.OpError
• Class tf.compat.v1.errors.OpError
• Class tf.compat.v2.errors.OpError

Whenever possible, the session will raise a more specific subclass of OpError from the tf.errors module.

1、__init__

View source

__init__(
    node_def,
    op,
    message,
    error_code
)

Creates a new OpError indicating that a particular op failed.

Args:

• node_def: The node_def_pb2.NodeDef proto representing the op that failed, if known; otherwise None.
• op: The ops.Operation that failed, if known; otherwise None.
• message: The message string describing the failure.
• error_code: The error_codes_pb2.Code describing the error.

2、Properties

error_code

The integer error code that describes the error.

message

The error message that describes the error.

node_def

The NodeDef proto representing the op that failed.

op

The operation that failed, if known.

N.B. If the failed op was synthesized at runtime, e.g. a Send or Recv op, there will be no corresponding tf.Operation object. In that case, this will return None, and you should instead use the tf.errors.OpError.node_def to discover information about the op.

Returns:

The Operation that failed, or None.