nnrl/nn/model/stochastic/single.py
def deterministic(self, params: TensorDict) -> SampleLogp:
        """
        Generates a deterministic sample or batch of samples if the distribution
        parameters are batched. Returns a (rsample, log_prob) pair.
        """
        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, params: TensorDict) -> SampleLogp:
        return self.dist.deterministic(params)
def deterministic ( self , params : TensorDict ) -> SampleLogp : 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
params
TensorDict