nnrl/nn/model/stochastic/single.py
def log_prob(self, next_obs: Tensor, params: TensorDict) -> Tensor:
        """
        Returns the log probability density/mass function evaluated at `next_obs`.
        """
        return self.dist.log_prob(next_obs, params)

        Returns the log probability density/mass function evaluated at `next_obs`.
        
Returns the log probability density/mass function evaluated at `next_obs`.
Returns the log probability density / mass function evaluated at ` next_obs ` .
def log_prob(self, next_obs: Tensor, params: TensorDict) -> Tensor:
        return self.dist.log_prob(next_obs, params)
def log_prob ( self , next_obs : Tensor , params : TensorDict ) -> Tensor : return self . dist . log_prob ( next_obs , params )
Returns the log probability density/mass function evaluated at `next_obs`.
Returns the log probability density / mass function evaluated at ` next_obs ` .
"""
        Returns the log probability density/mass function evaluated at `next_obs`.
        """
self
next_obs
Tensor
params
TensorDict