tensorflow/models · error · ValueError

Unsupported model/id type {backbone_cfg.model_id}.

Error message

Unsupported model/id type {backbone_cfg.model_id}.

What it means

Error "Unsupported model/id type {backbone_cfg.model_id}." thrown in tensorflow/models.

Source

Thrown at official/projects/edgetpu/vision/modeling/backbones/mobilenet_edgetpu.py:101

      freeze_large_filters(model, backbone_cfg.freeze_large_filters)
    return model
  elif backbone_cfg.model_id in MOBILENET_EDGETPU_CONFIGS:
    model = MobilenetEdgeTPU.from_name(
        model_name=backbone_cfg.model_id,
        overrides={
            'batch_norm': 'tpu',
            'rescale_input': False,
            'resolution': input_specs.shape[1:3],
            'input_channels': input_specs.shape[3],
            'backbone_only': True,
            'dtype': 'bfloat16'
        },
        model_weights_path=backbone_cfg.pretrained_checkpoint_path)
    if backbone_cfg.freeze_large_filters:
      freeze_large_filters(model, backbone_cfg.freeze_large_filters)
    return model
  else:
    raise ValueError(f'Unsupported model/id type {backbone_cfg.model_id}.')

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/edgetpu/vision/modeling/backbones/mobilenet_edgetpu.py:101 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/9b092e5d2bbc7031. Report an issue: GitHub.