code: def forward(self, x):
      x_shape = x.shape
      x = x.view(-1, x_shape[-1])
      y = linear_a8_w8_bfp32_ofp32(
          x, self.weight, self.bias, self.a.item(), 1
      )
      y = y.view(*x_shape[:-1], -1)
      return y
  
file_path: colossalai/colossalai/inference/quant/smoothquant/models/linear.py
imports: import torch
label_desc: Use image node_id 4 for calling the W8A8BFP32OFP32Linear obj's underlying member method code with example usage: obj.forward(x) and returns: y