torch.Tensor.random_¶
- Tensor.random_(from=0, to=None, *, generator=None) Tensor ¶
Fills
self
tensor with numbers sampled from the discrete uniform distribution over[from, to - 1]
. If not specified, the values are usually only bounded byself
tensor’s data type. However, for floating point types, if unspecified, range will be[0, 2^mantissa]
to ensure that every value is representable. For example, torch.tensor(1, dtype=torch.double).random_() will be uniform in[0, 2^53]
.