code: def test_numpy_numerical(
      self,
      compute_unit,
      backend,
      input_dims,
      output_dim,
      activation,
      inner_activation,
      outer_activation,
      return_seq,
      has_bias,
      forget_bias,
      has_peephole,
      coupled_input_forget,
      clip,
      dtype,
  ):
      super().test_numpy_numerical(
          compute_unit,
          backend,
          input_dims,
          output_dim,
          activation,
          inner_activation,
          outer_activation,
          return_seq,
          has_bias,
          forget_bias,
          has_peephole,
          coupled_input_forget,
          clip,
          dtype,
      )
  
file_path: coremltools/coremltools/converters/mil/mil/ops/tests/iOS17/test_recurrent.py
imports: import itertools
  import numpy
  import pytest
  from coremltools._deps import _HAS_TORCH, MSG_TORCH_NOT_FOUND
  from coremltools.converters.mil.mil.ops.tests.iOS14.test_recurrent import TestGRU
  from coremltools.converters.mil.mil.ops.tests.iOS14.test_recurrent import TestLSTM
  from coremltools.converters.mil.mil.ops.tests.iOS14.test_recurrent import TestRNN
  from coremltools.converters.mil.mil.ops.tests.iOS17 import backends
  from coremltools.converters.mil.testing_reqs import compute_units
label_desc: Use image node_id 1 for calling the TestLSTM obj's underlying member method code with example usage: obj.test_numpy_numerical(compute_unit, backend, input_dims, output_dim, activation, inner_activation, outer_activation, return_seq, has_bias, forget_bias, has_peephole, coupled_input_forget, clip, dtype) without return types