关于调整样本滑块间隔的问题

[dryland107]

作者，你好，目前在学习用autoformer做时序数据预测，谢谢你的论文和源码，受益良多。
有个问题想请教下，烦请解答下。
数据集使用ETTm1.csv，目前data_loader的__getitem__函数中，s_begin = index，即样本数据是通过传入的index进行滑块。在该数据集上也就是15分钟一个间隔往后滑一个间隔。因为业务场景需要（以天为单位进行预测），我原本设想通过调整代码s_begin = index * 96，来严格限定每个样本数据从一天中的第一个时刻开始，一个batch包含32天的样本。但是运行代码时报以下错误：
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 530, in __next__data = self._next_data()
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1204, in _next_data
return self._process_data(data)
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1250, in _process_data
data.reraise()
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/_utils.py", line 457, in reraise
raise exception
RuntimeError: Caught RuntimeError in DataLoader worker process 8.
Original Traceback (most recent call last):
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
return self.collate_fn(data)
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 172, in default_collate
return [default_collate(samples) for samples in transposed] # Backwards compatibility.
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 172, in
return [default_collate(samples) for samples in transposed] # Backwards compatibility.
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 146, in default_collate
return default_collate([torch.as_tensor(b) for b in batch])
File "/home/ubuntu/anaconda3/envs/series-forecasting/lib/python3.8/site-packages/torch/utils/data/utils/collate.py", line 137, in default_collate
out = elem.new(storage).resize(len(batch), *list(elem.size()))
RuntimeError: Trying to resize storage that is not resizable
尝试调整drop_last和num_workers，无效。

[wuhaixu2016]

Same question in #40