As torch.range is deprecated, how do I get a 1-D tensor in [start, end] with torch.arange
>>> torch.arange(-1.0,1.0,5)
torch([-1.0000, -0.5000, 0.0000, -0.5000])
>>> torch.range(-1.0,1.0,5)
torch([-1.0000, -0.5000, 0.0000, -0.5000, 1.0000])
without adding step value to end
parameters in torch.arange
? Any elegant way?
>>> step = 0.5
>>> torch.arange(-1.0,1.0+step,5)
torch([-1.0000, -0.5000, 0.0000, -0.5000, 1.0000])