code: def test_cdf_sizes(self):
      continuous_entropy = ContinuousEntropy(
          compressible=True,
          prior=self.prior,
      )
  
      assert continuous_entropy.cdf_sizes.shape == Size([16])
  
imports: import pytest
  import torch
  import torch.testing
  from torch import Size
  from neuralcompression.distributions import NoisyNormal
  from neuralcompression.layers import ContinuousEntropy
label_desc: Use image node_id 3 for calling the TestContinuousEntropy obj's underlying member method code with example usage: obj.test_cdf_sizes() without return types