code: def do_step(self, x, hc):
      new_hc = [x]
      for i, cell in enumerate(self.cells):
          new_hc.append(cell(new_hc[i][: x.shape[0]], hc[i]))
      return Tensor.stack(new_hc[1:]).realize()
  
imports: from tinygrad.tensor import Tensor
  from tinygrad.jit import TinyJit
  from tinygrad.nn import Linear, Embedding
  from tinygrad.helpers import fetch
  import numpy
  from pathlib import Path
label_desc: Use image node_id 3 for calling the LSTM obj's underlying member method code with example usage: obj.do_step(x, hc) and returns: Tensor