class_docstr: All-reduce convolution 1D layer for GPT models
code: def forward(self, x):
      size_out = x.size()[:-1] + (self.nf,)
      outputs = torch.mm(x.view(-1, x.size(-1)), self.weight)
  
      self.allreduce(outputs)
      if self.bias is not None:
          outputs += self.bias
  
      return outputs.view(*size_out)
  
imports: import torch
  import torch.distributed
  from torch import Tensor, nn
  from torch.nn import Linear
  from transformers.modeling_utils import Conv1D
  from transformers.models.ibert.quant_modules import QuantLinear, symmetric_linear_quantization_params
label_desc: Use image node_id 1 for calling the AllReduceConv1D obj's underlying member method code with example usage: obj.forward(x) and returns: outputs