code: def copy_clone(d):
      return {
          k: (
              v.detach().clone().float() if isinstance(v, Tensor) else v
          )
          for k, v in d.items()
      }
  
imports: from __future__ import annotations
  from ..basics import *
  from .progress import *
  from torch.cuda.amp import GradScaler, autocast
  from torch.cuda.amp.grad_scaler import OptState
  from ..fp16_utils import convert_network, model_grads_to_master_grads, master_params_to_model_params
  from torch.nn.utils import parameters_to_vector
label_desc: Use image node_id 9 for calling a global function with example usage: copy_clone(d) and returns: unknown