Question

如果有些数字是顺序的，有些是随机数，那么连续数字如何被数字和随机数的范围替换应该是这样的？例如：1,2,3,4,5,6,458,243 输出：1-6,458,243

Answer 1

我刚刚解决了这个问题..它只是一些if-else条件的超级简单，但是，我没有考虑有效的方法，所以请按照解决方案并尝试高效。

RuntimeError: Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 42, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
  File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 116, in default_collate
    return {key: default_collate([d[key] for d in batch]) for key in batch[0]}
  File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 116, in <dictcomp>
    return {key: default_collate([d[key] for d in batch]) for key in batch[0]}
  File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 105, in default_collate
return torch.stack([torch.from_numpy(b) for b in batch], 0)
  File "/usr/local/lib/python3.5/dist-packages/torch/functional.py", line 64, in stack
    return torch.cat(inputs, dim)
RuntimeError: inconsistent tensor sizes at /pytorch/torch/lib/TH/generic    /THTensorMath.c:2864

如何用数字和随机数替换连续数字应该是这样吗？

1 个答案: