content: # Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT
  # except for the third-party components listed below.
  # Hunyuan 3D does not impose any additional limitations beyond what is outlined
  # in the repsective licenses of these third-party components.
  # Users must comply with all terms and conditions of original licenses of these third-party
  # components and must ensure that the usage of the third party components adheres to
  # all relevant laws and regulations.
  
  # For avoidance of doubts, Hunyuan 3D means the large language models and
  # their software and algorithms, including trained model weights, parameters (including
  # optimizer states), machine-learning model code, inference-enabling code, training-enabling code,
  # fine-tuning enabling code and other elements of the foregoing made publicly available
  # by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT.
  
  import importlib
  
  
  def count_params(model, verbose=False):
      total_params = sum(p.numel() for p in model.parameters())
      if verbose:
          print(f"{model.__class__.__name__} has {total_params*1.e-6:.2f} M params.")
      return total_params
  
  
  def instantiate_from_config(config):
      if not "target" in config:
          if config == "__is_first_stage__":
              return None
          elif config == "__is_unconditional__":
              return None
          raise KeyError("Expected key `target` to instantiate.")
      return get_obj_from_str(config["target"])(**config.get("params", dict()))
  
  
  def get_obj_from_str(string, reload=False):
      module, cls = string.rsplit(".", 1)
      if reload:
          module_imp = importlib.import_module(module)
          importlib.reload(module_imp)
      return getattr(importlib.import_module(module, package=None), cls)
  