code: def forward(self, x, x_mask=None):
      for c in self.convs:
          xt = F.leaky_relu(x, LRELU_SLOPE)
          if x_mask is not None:
              xt = xt * x_mask
          xt = c(xt)
          x = xt + x
      if x_mask is not None:
          x = x * x_mask
      return x
  
imports: import torch
  from torch import nn
  from torch.nn import Conv1d
  from torch.nn import functional
  from torch.nn.utils.parametrizations import weight_norm
  from torch.nn.utils.parametrize import remove_parametrizations
  import TTS.vc.modules.freevc.commons
  from TTS.vc.modules.freevc.commons import get_padding, init_weights
label_desc: Use image node_id 2 for calling the ResBlock2 obj's underlying member method code with example usage: obj.forward(x, x_mask) and returns: x