tensorflow/models · error · NotImplementedError

Non local block is not implemented yet.

Error message

Non local block is not implemented yet.

What it means

Error "Non local block is not implemented yet." thrown in tensorflow/models.

Source

Thrown at official/projects/s3d/modeling/s3d.py:192

          norm_momentum=self._norm_momentum,
          norm_epsilon=self._norm_epsilon,
          kernel_initializer=self._kernel_initializer,
          temporal_conv_initializer=self._temporal_conv_initializer,
          kernel_regularizer=self._kernel_regularizer,
          parameterized_conv_layer=self._get_parameterized_conv_layer_impl(),
          name=self._get_layer_naming_fn()(end_point))(
              net)
    else:
      net = tf_keras.layers.MaxPool3D(
          pool_size=filters[0],  # pyrefly: ignore[bad-index]
          strides=filters[1],  # pyrefly: ignore[bad-index]
          padding='same',
          name=self._get_layer_naming_fn()(end_point))(
              net)
    end_points[end_point] = net
    if non_local_block:
      # TODO(b/182299420): Implement non local block in TF2.
      raise NotImplementedError('Non local block is not implemented yet.')
    if attention_cell:
      # TODO(b/182299420): Implement attention cell in TF2.
      raise NotImplementedError('Attention cell is not implemented yet.')
    if attention_cell_super_graph:
      # TODO(b/182299420): Implement attention cell super graph in TF2.
      raise NotImplementedError('Attention cell super graph is not implemented'
                                ' yet.')
    return net, end_points

  def get_config(self):
    config_dict = {
        'input_specs': self._input_specs,
        'final_endpoint': self._final_endpoint,
        'first_temporal_kernel_size': self._first_temporal_kernel_size,
        'temporal_conv_start_at': self._temporal_conv_start_at,
        'gating_start_at': self._gating_start_at,
        'swap_pool_and_1x1x1': self._swap_pool_and_1x1x1,
        'gating_style': self._gating_style,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/s3d/modeling/s3d.py:192 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/18ea38f0c25693b5. Report an issue: GitHub.