code: def __call__(self, x, hc, m):
      emb = self.emb(x) * m
      x_, hc = self.rnn(emb.transpose(0, 1), hc)
      return x_.transpose(0, 1), hc
  
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 2 for calling the Prediction obj's underlying member method code with example usage: obj.__call__(x, hc, m) and returns: x_,  hc