class_docstr: Abstract class offering interface shared between all PyTorch Neural Modules.
class_docstr_tok: ["Abstract","class","offering","interface","shared","between","all","PyTorch","Neural","Modules","."]
docstr: Unfreeze all parameters for training.
docstr_tok: ["Unfreeze","all","parameters","for","training","."]
code: def unfreeze(self) -> None:
      """
      Unfreeze all parameters for training.
      """
      for param in self.parameters():
          param.requires_grad = True
  
      self.train()
  
file_path: NeMo/nemo/core/classes/module.py
imports: from contextlib import contextmanager
  import torch
  from torch.nn import Module
  from nemo.core.classes.common import FileIO, Serialization, Typing
label_desc: Use image node_id 5 for calling the NeuralModule obj's underlying member method code with example usage: obj.unfreeze() without return types