code: def predict(self, inputs):
      """
      Predicts the labels of input data based on the fitted model.
  
      Args:
          inputs (torch.Tensor): Input data of shape (batch_size, n_features).
  
      Returns:
          torch.Tensor: The predicted labels of the input data with respect to the identified clusters.
  
      Raises:
          AttributeError: If the KMeans object has not been fitted to input data.
      """
      distances = torch.cdist(inputs, self.cluster_centers_)
      return torch.argmin(distances, dim=1)
  
imports: import torch
label_desc: Use image node_id 3 for calling the KMeans obj's underlying member method code with example usage: obj.predict(inputs) and returns: torch