tensorflow/models · error · ValueError

sample_random and sample_around_keyframe cannot be both True

Error message

sample_random and sample_around_keyframe cannot be both True.

What it means

Error "sample_random and sample_around_keyframe cannot be both True." thrown in tensorflow/models.

Source

Thrown at official/projects/videoglue/datasets/common/utils.py:1024

    sync_random_state: bool = True):
  """Adds functions to process label feature to builders.

  Args:
    parser_builder: An instance of a builders.BaseParserBuilder.
    sampler_builder: An instance of a builders.SamplerBuilder.
    preprocessor_builder: An instance of a builders.PreprocessorBuilder.
    input_box_dim_name: The input feature name.
    output_box_dim_name: The output feature name.
    sample_around_keyframe: Whether to sample the sequence around the keyframe.
      If True, it requires keyframe id is known.
    sample_random:  Whether to perform random sampling.
    num_instances_per_frame: The number of instances per frame.
    num_frames: The number of frames to sample.
    temporal_stride: The temopral sampling stride.
    sync_random_state: Whether to sync the random state.
  """
  if sample_random and sample_around_keyframe:
    raise ValueError(
        'sample_random and sample_around_keyframe cannot be both True.')

  # Parse box dim.
  parser_builder.parse_feature(
      feature_name=input_box_dim_name,
      # Entire signal stored in one Feature.
      feature_type=tf.io.VarLenFeature(dtype=tf.float32),
      output_name=output_box_dim_name)

  sampler_builder.add_fn(
      fn=tf.sparse.to_dense,
      feature_name=output_box_dim_name,
      fn_name='{}_sparse_to_dense'.format(output_box_dim_name))

  # Temporal sampler.
  if sample_random:
    # Sample random clip.
    def sample_sequence_fn(x, state=None):

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/videoglue/datasets/common/utils.py:1024 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/5b8b5b4b5ff153b2. Report an issue: GitHub.