code: def __call__(
      self, x, xa=None, mask=None, len: Union[Variable, int] = None
  ):
      x = x + self.attn(self.attn_ln(x), mask=mask, len=len)
      if self.cross_attn:
          x = x + self.cross_attn(self.cross_attn_ln(x), xa)
      x = x + self.mlp_ln(x).sequential(self.mlp)
      return x.realize()
  
imports: import sys
  import pathlib
  import base64
  import multiprocessing
  import numpy
  from typing import Optional, Union, Literal, List
  from tinygrad.jit import TinyJit
  from tinygrad.nn.state import torch_load, load_state_dict
  from tinygrad.helpers import getenv, DEBUG, CI, fetch
  import tinygrad.nn
  from tinygrad.shape.symbolic import Variable
  from tinygrad.tensor import Tensor
  import itertools
  import librosa
label_desc: Use image node_id 2 for calling the ResidualAttentionBlock obj's underlying member method code with example usage: obj.__call__(x, xa, mask, len) and returns: x