code: def test_log_compression():
      activation = LogCompression()
      x = torch.randn([5, 20, 1, 40], requires_grad=True)
      y = activation(x)
      assert x.shape == y.shape
  
imports: import torch
  from espnet2.layers.sinc_conv import BarkScale, LogCompression, MelScale, SincConv
label_desc: Use image node_id 1 for calling a global function with example usage: test_log_compression() without return types