tensorflow/models · error · NotImplementedError

Abstract method

Error message

Abstract method

What it means

Error "Abstract method" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/mixing.py:95

    """
    super().__init__(name=name, **kwargs)

  def call(self, query: tf.Tensor, value: tf.Tensor, **kwargs) -> tf.Tensor:
    """Calls the layer.

    Subclasses should return tensors of shape
    <float>[batch_size, max_seq_length, hidden_dim].

    Args:
      query: Batch of input embeddings, typically of shape <float>[batch_size,
        max_seq_length, hidden_dim].
      value: Unused. Included to match attention layer API.
      **kwargs: Optional arguments to catch unused attention keyword arguments.

    Raises:
      NotImplementedError. This class should not be called directly.
    """
    raise NotImplementedError("Abstract method")


class FourierTransformLayer(MixingLayer):
  """Fourier Transform layer.

  Applies 2D Fourier Transform over final two dimensions of `query` inputs -
  typically the sequence and hidden dimensions.
  """

  def __init__(self,
               use_fft: bool = False,
               name: str = "fourier_transform",
               **kwargs):
    """Initializes layer.

    Args:
      use_fft: Whether to use Fast Fourier Transform (True) or the Discrete
        Fourier Transform (DFT) matrix (False) to compute the Fourier Transform.

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/mixing.py:95 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/fcbf533a4f60f649. Report an issue: GitHub.