nnrl/nn/actor/policy/stochastic.py
def deterministic(self, obs):
        """
        Generates a deterministic sample or batch of samples if the distribution
        parameters are batched. Returns a (rsample, log_prob) pair.
        """
        params = self(obs)
        return self.dist.deterministic(params)

        Generates a deterministic sample or batch of samples if the distribution
        parameters are batched. Returns a (rsample, log_prob) pair.
        
Generates a deterministic sample or batch of samples if the distribution
parameters are batched. Returns a (rsample, log_prob) pair.
Generates a deterministic sample or batch of samples if the distribution parameters are batched . Returns a ( rsample log_prob ) pair .
def deterministic(self, obs):
        params = self(obs)
        return self.dist.deterministic(params)
def deterministic ( self , obs ) : params = self ( obs ) return self . dist . deterministic ( params )
Generates a deterministic sample or batch of samples if the distribution
parameters are batched.
Generates a deterministic sample or batch of samples if the distribution parameters are batched .
"""
        Generates a deterministic sample or batch of samples if the distribution
        parameters are batched. Returns a (rsample, log_prob) pair.
        """
self
obs