code: def __init__(
      self, num_features, apply_act=True, eps=1e-5, rms=True, **_
  ):
      super(FilterResponseNormTlu2d, self).__init__()
      self.apply_act = apply_act  # apply activation (non-linearity)
      self.rms = rms
      self.eps = eps
      self.weight = nn.Parameter(torch.ones(num_features))
      self.bias = nn.Parameter(torch.zeros(num_features))
      self.tau = (
          nn.Parameter(torch.zeros(num_features)) if apply_act else None
      )
      self.reset_parameters()
  
file_path: pytorch-image-models/timm/layers/filter_response_norm.py
imports: import torch
  import torch.nn
  from .create_act import create_act_layer
  from .trace_utils import _assert
label_desc: Use image node_id 1 to create a new FilterResponseNormTlu2d object from inherited base classes: nn with example: obj = FilterResponseNormTlu2d(num_features, apply_act, eps, rms)