mylayers.py 文件源码

def get_output_for(self, input, deterministic=False, **kwargs):
        """
        Parameters
        ----------
        input : tensor
            output from the previous layer
        deterministic : bool
            If true noise is disabled, see notes
        """
        if deterministic or self.sigma == 0:
            return input
        else:
            return T.clip(input + self._srng.normal(input.shape,
                                                       avg=0.0,
                                                       std=self.sigma), 0.0, 1.0)