code: def test_pytorch_lstm_init():
      model = with_padded(PyTorchLSTM(2, 2, depth=0)).initialize()
      assert model.name == "with_padded(noop)"
  
file_path: thinc/thinc/tests/layers/test_lstm.py
imports: import timeit
  import numpy
  import pytest
  from thinc.api import LSTM, NumpyOps, Ops, PyTorchLSTM, fix_random_seed, with_padded
  from thinc.compat import has_torch
label_desc: Use image node_id 10 for calling a global function with example usage: test_pytorch_lstm_init() without return types