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tf.errors.UnimplementedError

TensorFlow 1 version View source on GitHub

Raised when an operation has not been implemented.

Inherits From: OpError

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

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.
  • 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.