tf.errors.UnimplementedError

Class UnimplementedError

Inherits From: OpError

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

See the guide: Running Graphs > Error classes and convenience functions

Raised when an operation has not been implemented.

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

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 UnimplementedError.