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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.Tensor.random_.html below:

torch.Tensor.random_ — PyTorch 2.7 documentation

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 by self 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].

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