code: def __call__(self, x, hc):
      gates = x.linear(self.weights_ih.T, self.bias_ih) + hc[
          : x.shape[0]
      ].linear(self.weights_hh.T, self.bias_hh)
  
      i, f, g, o = gates.chunk(4, 1)
      i, f, g, o = i.sigmoid(), f.sigmoid(), g.tanh(), o.sigmoid()
  
      c = (f * hc[x.shape[0] :]) + (i * g)
      h = (o * c.tanh()).dropout(self.dropout)
  
      return Tensor.cat(h, c).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 LSTMCell obj's underlying member method code with example usage: obj.__call__(x, hc) and returns: Tensor