This is just how the tensors are displayed. If you print(a.item()), you should see more figures. You can force the data type in torch.rand(), too, with the keyword argument dtype = torch.<your desired datatype, eg. float64> which can allow for even more significant figures, if you’d like.
Check out this topic if you want to always print your tensors with more figures after the decimal shown.