code: def update_mask(self, module, **kwargs):
      module.parametrizations.weight[0].mask[0] = 0
      linear_state = self.state["linear1.weight"]
      linear_state["step_count"] = linear_state.get("step_count", 0) + 1
  
imports: from torch.ao.pruning import BaseSparsifier
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 2 for calling the ImplementedSparsifier obj's underlying member method code with example usage: obj.update_mask(module) without return types