parameters: (self, sample_shape=torch.Size())
docstring: Generates a sample_shape shaped reparameterized sample or sample_shape
          shaped batch of reparameterized samples if the distribution parameters
          are batched.
docstring_summary: Generates a sample_shape shaped reparameterized sample or sample_shape
          shaped batch of reparameterized samples if the distribution parameters
          are batched.
docstring_tokens: Generates a sample_shape shaped reparameterized sample or sample_shape shaped batch of reparameterized samples if the distribution parameters are batched .
function: def rsample(self, sample_shape=torch.Size()):
          """
          Generates a sample_shape shaped reparameterized sample or sample_shape
          shaped batch of reparameterized samples if the distribution parameters
          are batched.
          """
          raise NotImplementedError
function_tokens: def rsample ( self , sample_shape = torch . Size ( ) ) : raise NotImplementedError