code: def test_simplified_inverse_gdn(shape):
      gen = torch.Generator()
      gen.manual_seed(123)
      x = torch.randn(shape)
  
      layer = SimplifiedInverseGDN(x.shape[1])
      output = layer(x)
  
      assert x.shape == output.shape
  
imports: import pytest
  import torch
  from neuralcompression.layers import SimplifiedGDN, SimplifiedInverseGDN
label_desc: Use image node_id 3 for calling a global function with example usage: test_simplified_inverse_gdn(shape) without return types