tf.errors

TensorFlow 1 version

View source on GitHub

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

Inherits From: OpError

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.errors.AlreadyExistsError

tf.errors.AlreadyExistsError(
    node_def, op, message
)

For example, running an operation that saves a file (e.g. tf.train.Saver.save) could potentially raise this exception if an explicit filename for an existing file was passed.

Attributes
`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. Note: 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.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.errors / Overview

View aliases

Attributes