code: def __call__(self, module):
      classname = module.__class__.__name__
      if fnmatch(classname, self.module_filter) and hasattr(
          module, "weight"
      ):
          if self.bias_only:
              torch.nn.init.uniform(
                  module.bias.data, a=self.a, b=self.b
              )
          else:
              torch.nn.init.uniform(
                  module.weight.data, a=self.a, b=self.b
              )
              if self.bias:
                  torch.nn.init.uniform(
                      module.bias.data, a=self.a, b=self.b
                  )
  
imports: from fnmatch import fnmatch
  import torch.nn.init
label_desc: Use image node_id 2 for calling the Uniform obj's underlying member method code with example usage: obj.__call__(module) without return types