code: def forward(self, input):
      qweight = self.weight_fake_quant(self.weight)
      if self.padding_mode != "zeros":
          return _F.conv1d(
              _F.pad(
                  input,
                  self._reversed_padding_repeated_twice,
                  mode=self.padding_mode,
              ),
              qweight,
              self.bias,
              self.stride,
              (0,),
              self.dilation,
              self.groups,
          )
      return _F.conv1d(
          input,
          qweight,
          self.bias,
          self.stride,
          self.padding,
          self.dilation,
          self.groups,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .palettization_config import SUPPORTED_PYTORCH_QAT_MODULES
label_desc: Use image node_id 1 for calling the Conv1d obj's underlying member method code with example usage: obj.forward(input) and returns: _F, _F