code: def forward(self, x, **kwargs):
      x_inp, x_labels = x[:, :-1], x[:, 1:]
      logits = self.net(x_inp, **kwargs)
      return F.cross_entropy(
          rearrange(logits, "b c n -> b n c"), x_labels
      )
  
file_path: ColossalAI/examples/language/palm/palm_pytorch/autoregressive_wrapper.py
imports: import torch
  import torch.nn.functional
  from einops import rearrange
  from torch import nn
label_desc: Use image node_id 3 for calling the AutoregressiveWrapper obj's underlying member method code with example usage: obj.forward(x) and returns: F