tensorflow/models · error · ValueError

`parser_builder` has an unexpected type.

Error message

`parser_builder` has an unexpected type.

What it means

Error "`parser_builder` has an unexpected type." thrown in tensorflow/models.

Source

Thrown at official/projects/videoglue/datasets/common/utils.py:314

    )

  # Parse frames.
  if isinstance(parser_builder, builders.SequenceExampleParserBuilder):
    parser_builder.parse_feature(
        feature_name=input_feature_name,
        feature_type=tf.io.FixedLenSequenceFeature((), dtype=tf.string),
        output_name=output_feature_name)
  elif isinstance(parser_builder, builders.ExampleParserBuilder):
    parser_builder.parse_feature(
        feature_name=input_feature_name,
        feature_type=tf.io.FixedLenFeature((), dtype=tf.string),
        output_name=output_feature_name)
    sampler_builder.add_fn(
        fn=lambda x: tf.expand_dims(x, axis=0),
        feature_name=output_feature_name,
        fn_name=f'{output_feature_name}_expand_dim')
  else:
    raise ValueError('`parser_builder` has an unexpected type.')

  if sample_around_keyframe:
    # Sample clip around keyframe.
    sample_around_keyframe_fn = functools.partial(
        processors.sample_sequence_around_keyframe,
        num_steps=num_frames,
        stride=temporal_stride,
        sample_target_key=output_feature_name)
    sampler_builder.add_fn(
        fn=sample_around_keyframe_fn,
        fn_name='{}_sample_around_keyframe'.format(output_feature_name))
  elif sample_from_segments:
    sample_segment_fn = functools.partial(
        processors.sample_sequence_by_segment,
        num_steps=num_frames,
        sample_target_key=output_feature_name,
        is_training=is_training)
    sampler_builder.add_fn(

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/videoglue/datasets/common/utils.py:314 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/a27550a6f3ee54cc. Report an issue: GitHub.