code: def __init__(
      self,
      sparsity,
      std=0.01,
      bias=False,
      bias_only=False,
      module_filter="*",
  ):
      self.sparsity = sparsity
      self.std = std
  
      self.bias = bias
      self.bias_only = bias_only
      self.module_filter = module_filter
  
      super(Sparse, self).__init__()
  
imports: from fnmatch import fnmatch
  import torch.nn.init
label_desc: Use image node_id 1 to create a new Sparse object from inherited base classes: Initializer with example: obj = Sparse(sparsity, std, bias, bias_only, module_filter)