tf.errors.UnimplementedError

Class `UnimplementedError`

Inherits From: OpError

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

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.

`init`

__init__(
    node_def,
    op,
    message
)

Creates an UnimplementedError.

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.

tf.errors.UnimplementedError

Class UnimplementedError

__init__