clean up

src/gluonts/torch/distributions/utils/truncated_normal.py

@@ -191,37 +191,3 @@ def icdf(self, value):
  def log_prob(self, value):
  value = self._to_std_rv(value)
  return super(TruncatedNormal, self).log_prob(value) - self._log_scale
-
-
-# class TruncatedNormalOutput(DistributionOutput):
-# distr_cls: type = TruncatedNormal
-#
-# @validated()
-# def __init__(self, a: float, b: float) -> None:
-# super().__init__(self)
-#
-# self.a = a
-# self.b = b
-# self.args_dim: Dict[str, int] = {"loc": 1, "scale": 1, "a": 1, "b": 1}
-#
-# # @classmethod
-# def domain_map(
-# self,
-# loc: torch.Tensor,
-# scale: torch.Tensor,
-# a: torch.Tensor,
-# b: torch.Tensor,
-# ):
-# scale = F.softplus(scale)
-# a = self.a * torch.ones_like(a)
-# b = self.b * torch.ones_like(b)
-# return (
-# loc.squeeze(-1),
-# scale.squeeze(-1),
-# a.squeeze(axis=-1),
-# b.squeeze(axis=-1),
-# )
-#
-# @property
-# def event_shape(self) -> Tuple:
-# return ()