tensorflow/models · error · ConfigError

prompt_to_detect {prompt_to_detect!r} has no block under pro

Error message

prompt_to_detect {prompt_to_detect!r} has no block under prompts. Available prompts: {sorted(prompts)}.

What it means

Error "prompt_to_detect {prompt_to_detect!r} has no block under prompts. Available prompts: {sorted(prompts)}." thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/config_loader.py:718

      raw_config["min_detections"], "min_detections"
  )
  crop_variants = _validate_crop_variants(raw_config["crop_variants"])
  max_cpu_workers = _require_positive_int(
      raw_config["max_cpu_workers"], "max_cpu_workers"
  )
  queue_maxsize = _require_positive_int(
      raw_config["queue_maxsize"], "queue_maxsize"
  )
  rotation_fill_color = _validate_rotation_fill_color(
      raw_config["rotation_fill_color"]
  )
  prompts = _validate_prompts(raw_config["prompts"])

  prompt_to_detect = _require_non_empty_string(
      raw_config["prompt_to_detect"], "prompt_to_detect"
  )
  if prompt_to_detect not in prompts:
    raise ConfigError(
        f"prompt_to_detect {prompt_to_detect!r} has no block under "
        f"prompts. Available prompts: {sorted(prompts)}."
    )

  return PipelineConfig(
      root_dir=root_dir,
      classifier_dir=_derive_sibling_dir(root_dir, "_classifier"),
      rejected_dir=_derive_sibling_dir(root_dir, "_empty"),
      sam3_checkpoint_path=sam3_checkpoint_path,
      cuda_visible_devices=cuda_visible_devices,
      input_images_folder_name=input_images_folder_name,
      train_val_folder_name=train_val_folder_name,
      train_split_name=train_split_name,
      val_split_name=val_split_name,
      prompt_to_detect=prompt_to_detect,
      keep_every_nth=keep_every_nth,
      train_ratio=train_ratio,
      min_detections=min_detections,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/config_loader.py:718 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/6a6897c97a69eac4. Report an issue: GitHub.