tensorflow/models · error

Not a valid assemblenet_depth:

Error message

Not a valid assemblenet_depth:

What it means

Error "Not a valid assemblenet_depth:" thrown in tensorflow/models.

Source

Thrown at official/projects/assemblenet/modeling/assemblenet.py:992

def assemblenet_v1(assemblenet_depth: int,
                   num_classes: int,
                   num_frames: int,
                   model_structure: List[Any],
                   input_specs: layers.InputSpec = layers.InputSpec(
                       shape=[None, None, None, None, 3]),
                   model_edge_weights: Optional[List[Any]] = None,
                   max_pool_predictions: bool = False,
                   combine_method: str = 'sigmoid',
                   **kwargs):
  """Returns the AssembleNet model for a given size and number of output classes."""

  data_format = tf_keras.backend.image_data_format()
  assert data_format == 'channels_last'

  if assemblenet_depth not in ASSEMBLENET_SPECS:
    raise ValueError('Not a valid assemblenet_depth:', assemblenet_depth)

  input_specs_dict = {'image': input_specs}
  params = ASSEMBLENET_SPECS[assemblenet_depth]
  backbone = AssembleNet(
      block_fn=params['block'],
      num_blocks=params['num_blocks'],  # pyrefly: ignore[bad-argument-type]
      num_frames=num_frames,
      model_structure=model_structure,
      input_specs=input_specs,
      model_edge_weights=model_edge_weights,
      combine_method=combine_method,
      **kwargs)
  return AssembleNetModel(
      backbone,
      num_classes=num_classes,
      num_frames=num_frames,
      model_structure=model_structure,
      input_specs=input_specs_dict,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/assemblenet/modeling/assemblenet.py:992 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/3e329e91124400c5. Report an issue: GitHub.