code: def test_lstm(self):
      BS, SQ, IS, HS, L = 2, 20, 40, 128, 2
  
      # create in torch
      with torch.no_grad():
          torch_layer = torch.nn.LSTM(IS, HS, L)
  
      # create in tinygrad
      layer = LSTM(IS, HS, L, 0.0)
  
      # copy weights
      with torch.no_grad():
          layer.cells[0].weights_ih.assign(
              Tensor(torch_layer.weight_ih_l0.numpy())
          )
          layer.cells[0].weights_hh.assign(
              Tensor(torch_layer.weight_hh_l0.numpy())
          )
          layer.cells[0].bias_ih.assign(
              Tensor(torch_layer.bias_ih_l0.numpy())
          )
          layer.cells[0].bias_hh.assign(
              Tensor(torch_layer.bias_hh_l0.numpy())
          )
          layer.cells[1].weights_ih.assign(
              Tensor(torch_layer.weight_ih_l1.numpy())
          )
          layer.cells[1].weights_hh.assign(
              Tensor(torch_layer.weight_hh_l1.numpy())
          )
          layer.cells[1].bias_ih.assign(
              Tensor(torch_layer.bias_ih_l1.numpy())
          )
          layer.cells[1].bias_hh.assign(
              Tensor(torch_layer.bias_hh_l1.numpy())
          )
  
      # test initial hidden
      for _ in range(3):
          x = Tensor.randn(SQ, BS, IS)
          z, hc = layer(x, None)
          torch_x = torch.tensor(x.numpy())
          torch_z, torch_hc = torch_layer(torch_x)
          np.testing.assert_allclose(
              z.numpy(), torch_z.detach().numpy(), atol=5e-3, rtol=5e-3
          )
  
      # test passing hidden
      for _ in range(3):
          x = Tensor.randn(SQ, BS, IS)
          z, hc = layer(x, hc)
          torch_x = torch.tensor(x.numpy())
          torch_z, torch_hc = torch_layer(torch_x, torch_hc)
          np.testing.assert_allclose(
              z.numpy(), torch_z.detach().numpy(), atol=5e-3, rtol=5e-3
          )
  
imports: import unittest
  import numpy
  from tinygrad.tensor import Tensor
  from extra.models.rnnt import LSTM
  import torch
label_desc: Use image node_id 1 for calling the TestRNNT obj's underlying member method code with example usage: obj.test_lstm() without return types