code: def _forward(
      self,
      x,
      context=None,
      additional_tokens=None,
      n_times_crossframe_attn_in_self=0,
  ):
      x = (
          self.attn1(
              self.norm1(x),
              context=context if self.disable_self_attn else None,
              additional_tokens=additional_tokens,
              n_times_crossframe_attn_in_self=n_times_crossframe_attn_in_self
              if not self.disable_self_attn
              else 0,
          )
          + x
      )
      x = (
          self.attn2(
              self.norm2(x),
              context=context,
              additional_tokens=additional_tokens,
          )
          + x
      )
      x = self.ff(self.norm3(x)) + x
      return x
  
imports: import logging
  import math
  from inspect import isfunction
  from typing import Any, Optional
  import torch
  import torch.nn.functional
  from einops import rearrange, repeat
  from packaging import version
  from torch import nn
  from torch.utils.checkpoint import checkpoint
label_desc: Use image node_id 3 for calling the BasicTransformerBlock obj's underlying member method code with example usage: obj._forward(x, context, additional_tokens, n_times_crossframe_attn_in_) and returns: x