tensorflow/models · error · ValueError

Unrecognized final endpoint %s (available endpoints: %s).

Error message

Unrecognized final endpoint %s (available endpoints: %s).

What it means

Error "Unrecognized final endpoint %s (available endpoints: %s)." thrown in tensorflow/models.

Source

Thrown at official/projects/s3d/modeling/s3d.py:137

        temporal_conv_type=self._temporal_conv_type,
        first_temporal_kernel_size=self._first_temporal_kernel_size,
        use_sync_bn=self._use_sync_bn,
        norm_momentum=self._norm_momentum,
        norm_epsilon=self._norm_epsilon,
        temporal_conv_initializer=self._temporal_conv_initializer,
        kernel_initializer=self._kernel_initializer,
        kernel_regularizer=self._kernel_regularizer,
        parameterized_conv_layer=self._get_parameterized_conv_layer_impl(),
        layer_naming_fn=self._get_layer_naming_fn(),
    )

    for end_point, filters in inception_utils.INCEPTION_V1_ARCH_SKELETON:
      net, end_points = self._s3d_cell(net, end_point, end_points, filters)
      if end_point == final_endpoint:
        break

    if final_endpoint not in end_points:
      raise ValueError(
          'Unrecognized final endpoint %s (available endpoints: %s).' %
          (final_endpoint, end_points.keys()))

    super(S3D, self).__init__(inputs=inputs, outputs=end_points, **kwargs)

  def _s3d_cell(
      self,
      net: tf.Tensor,
      end_point: Text,
      end_points: Dict[Text, tf.Tensor],
      filters: Union[int, Sequence[Any]],
      non_local_block: Optional[tf_keras.layers.Layer] = None,
      attention_cell: Optional[tf_keras.layers.Layer] = None,
      attention_cell_super_graph: Optional[tf_keras.layers.Layer] = None
  ) -> Tuple[tf.Tensor, Dict[Text, tf.Tensor]]:
    if end_point.startswith('Mixed'):
      conv_type = (
          self._temporal_conv_type

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/s3d/modeling/s3d.py:137 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/479c94050952ba87. Report an issue: GitHub.