.normal_ fills the tensor inplace with values drawn from the normal distribution using the specified mean and standard deviation (docs 10).
If you set bias=False, you don’t have to and in fact cannot call m.bias.data, since bias will be None.
Note, that I would recommend to wrap the parameter manipulations in a torch.no_grad block and avoid using the .data attribute directly:
lin = nn.Linear(10, 10, bias=False)

with torch.no_grad():
    lin.weight.normal_(0.0, 1.0)