tf.errors.UnimplementedError  |  TensorFlow v2.16.1 (original) (raw)

tf.errors.UnimplementedError

Raised when an operation has not been implemented.

Inherits From: OpError

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.errors.UnimplementedError

tf.errors.UnimplementedError(
    node_def, op, message, *args
)

Some operations may raise this error when passed otherwise-valid arguments that it does not currently support. For example, running the tf.nn.max_pool2d operation would raise this error if pooling was requested on the batch dimension, because this is not yet supported.

Attributes
error_code The integer error code that describes the error.
experimental_payloads A dictionary describing the details of 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.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.