In [5]: import numpy as np
In [6]: import torch
In [7]: torch.from_numpy(np.arange(10)).repeat(3)
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-7-18d470bf42ef> in <module>()
----> 1 torch.from_numpy(np.arange(10)).repeat(3)

/path/torch/tensor.py in repeat(self, *sizes)
    273 
    274         size = torch.Size([a * b for a, b in zip(xsize, repeats)])
--> 275         xtensor.resize_(torch.Size(xsize))
    276         result.resize_(size)
    277         urtensor = result.new(result)

RuntimeError: calling resize_ on a tensor that has non-resizable storage. Clone it first or create a new tensor instead.