code: def test_module_w_none_attribute(
      batch_shape,
      input_channels,
      output_channels,
      on_device,
      backend_fw,
  ):
      # smoke test
      if backend_fw == "numpy":
          # NumPy does not support gradients
          return
  
      with ivy.utils.backend.ContextManager(backend_fw):
          x = ivy.astype(
              ivy.linspace(
                  ivy.zeros(batch_shape),
                  ivy.ones(batch_shape),
                  input_channels,
              ),
              "float32",
          )
          module = ModuleWithNoneAttribute(device=on_device)
          module(x)
  
imports: import os
  from hypothesis import given, strategies
  import numpy
  import ivy
  from ivy.functional.ivy.gradients import _variable
  import ivy_tests.test_ivy.helpers
label_desc: Use image node_id 8 for calling a global function with example usage: test_module_w_none_attribute(batch_shape, input_channels, output_channels, on_device, backend_fw) without return types