code: def __call__(self, x, y, hc=None):
      f, _ = self.encoder(x, None)
      g, _ = self.prediction(y, hc, Tensor.ones(1, requires_grad=False))
      out = self.joint(f, g)
      return out.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 2 for calling the RNNT obj's underlying member method code with example usage: obj.__call__(x, y, hc) and returns: out