class_docstr: Pad sequences to equal lentgh in the temporal dimension
class_docstr_tok: ["Pad","sequences","to","equal","lentgh","in","the","temporal","dimension"]
code: def __init__(self, kernel_size, dilation):
      super().__init__()
      total_pad = dilation * (kernel_size - 1)
      begin = total_pad // 2
      end = total_pad - begin
      self.pad_layer = nn.ZeroPad2d((0, 0, begin, end))
  
file_path: TTS/TTS/tts/layers/generic/res_conv_bn.py
imports: from torch import nn
label_desc: Use image node_id 1 to create a new ZeroTemporalPad object from inherited base classes: nn with example: obj = ZeroTemporalPad(kernel_size, dilation)