content: import torch
  import torch.nn as nn
  import torch_tensorrt.fx.tracer.acc_tracer.acc_ops as acc_ops
  from torch.testing._internal.common_utils import run_tests
  from torch_tensorrt.fx.tools.common_fx2trt import AccTestCase
  
  
  class TestNumelConverter(AccTestCase):
      def test_numel(self):
          class Numel(nn.Module):
              def forward(self, x):
                  return torch.numel(x) * x
  
          inputs = [torch.ones(1, 2, 3, 4)]
          self.run_test(Numel(), inputs, expected_ops={acc_ops.numel})
  
  
  # Testing with (-1, -1, -1 , -1) results in following error:
  # RuntimeError: numel does not support dynamic shapes.
  """
  class TestNumelConverterWithDynamicShape(AccTestCase):
      def test_numel(self):
          class Numel(nn.Module):
              def forward(self, x):
                  return torch.numel(x) * x
  
          input_specs = [
              InputTensorSpec(
                  shape=(-1, -1, -1, -1),
                  dtype=torch.float32,
                  shape_ranges=[((1, 1, 1, 1), (2, 3, 4, 5), (2, 3, 10, 10))],
              ),
          ]
  
          self.run_test_with_dynamic_shape(
              Numel(), input_specs, expected_ops={acc_ops.numel}
          )
  """
  
  if __name__ == "__main__":
      run_tests()
  