Lines Matching full:low

18     ``[low, high)``.
28         low (float or Tensor): lower range (inclusive).
33         "low": constraints.dependent(is_discrete=False, event_dim=0),
40         return (self.high + self.low) / 2
48         return (self.high - self.low) / 12**0.5
52         return (self.high - self.low).pow(2) / 12
54     def __init__(self, low, high, validate_args=None):  argument
55         self.low, self.high = broadcast_all(low, high)
57         if isinstance(low, Number) and isinstance(high, Number):
60             batch_shape = self.low.size()
63         if self._validate_args and not torch.lt(self.low, self.high).all():
64             raise ValueError("Uniform is not defined when low>= high")
69         new.low = self.low.expand(batch_shape)
77         return constraints.interval(self.low, self.high)
81         rand = torch.rand(shape, dtype=self.low.dtype, device=self.low.device)
82         return self.low + rand * (self.high - self.low)
87         lb = self.low.le(value).type_as(self.low)
88         ub = self.high.gt(value).type_as(self.low)
89         return torch.log(lb.mul(ub)) - torch.log(self.high - self.low)
94         result = (value - self.low) / (self.high - self.low)
98         result = value * (self.high - self.low) + self.low
102         return torch.log(self.high - self.low)