tensorflow/models · error · ValueError

Saved model path is invalid.

Error message

Saved model path is invalid.

What it means

Error "Saved model path is invalid." thrown in tensorflow/models.

Source

Thrown at official/projects/edgetpu/vision/tasks/image_classification.py:83

def load_searched_model(saved_model_path: str) -> tf_keras.Model:
  """Loads saved model from file.

  Excepting loading MobileNet-EdgeTPU-V1/V2 models, we can also load searched
  model directly from saved model path by changing the model path in
  mobilenet_edgetpu_search (defined in mobilenet_edgetpu_config.py)

  Args:
    saved_model_path: Directory path for the saved searched model.
  Returns:
    Loaded keras model.
  """
  with tempfile.TemporaryDirectory() as tmp_dir:
    if tf.io.gfile.isdir(saved_model_path):
      _copy_recursively(saved_model_path, tmp_dir)
      load_path = tmp_dir
    else:
      raise ValueError('Saved model path is invalid.')
    load_options = tf.saved_model.LoadOptions(
        experimental_io_device='/job:localhost')
    model = tf_keras.models.load_model(load_path, options=load_options)

  return model


@task_factory.register_task_cls(edgetpu_cfg.MobilenetEdgeTPUTaskConfig)
class EdgeTPUTask(base_task.Task):
  """A task for training MobileNet-EdgeTPU models."""

  def build_model(self):
    """Builds model for MobileNet-EdgeTPU Task."""
    model_config = self.task_config.model
    model_params = model_config.model_params.as_dict()
    model_name = model_params['model_name']
    registered_models = get_models()
    if model_name in registered_models:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/edgetpu/vision/tasks/image_classification.py:83 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/ba95c83ec4e6a134. Report an issue: GitHub.