code: def _squash_mask_calibrate_and_convert(model, sparsifier, input):
      sparsifier.step()
      sparsifier.squash_mask()
      model(input)
      tq.convert(model, inplace=True)
  
imports: import logging
  import torch
  import torch.ao.quantization
  from torch import nn
  from torch.ao import pruning
  from torch.testing._internal.common_utils import TestCase
  from torch.ao.quantization.quantize_fx import prepare_fx, convert_fx, convert_to_reference_fx, prepare_qat_fx
  from torch.ao.pruning import fqn_to_module
label_desc: Use image node_id 2 for calling a global function with example usage: _squash_mask_calibrate_and_convert(model, sparsifier, input) without return types