我换了一个自己的新数据集它有52个特征，比如--seq_len', '20', '--pred_len', '15'，我怎么去修改

[zhurong-dot]

Traceback (most recent call last):
File "run.py", line 132, in
exp.train(setting)
File "C:\Users\ZRCC\Desktop\kk\iTransformer-main\iTransformer-main\experiments\exp_long_term_forecasting.py", line 108, in train
for i, (batch_x, batch_y, batch_x_mark, batch_y_mark) in enumerate(train_loader):
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data\dataloader.py", line 634, in next
data = self._next_data()
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data\dataloader.py", line 678, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\fetch.py", line 54, in fetch
return self.collate_fn(data)
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 264, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 142, in collate
return [collate(samples, collate_fn_map=collate_fn_map) for samples in transposed] # Backwards compatibility.
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 142, in
return [collate(samples, collate_fn_map=collate_fn_map) for samples in transposed] # Backwards compatibility.
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 119, in collate
return collate_fn_map[elem_type](batch, collate_fn_map=collate_fn_map)
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 171, in collate_numpy_array_fn
return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map)
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 119, in collate
return collate_fn_map[elem_type](batch, collate_fn_map=collate_fn_map)
File "F:\shuoAPP\anaconda\envs\itr\lib\site-packages\torch\utils\data_utils\collate.py", line 162, in collate_tensor_fn
return torch.stack(batch, 0, out=out)
RuntimeError: stack expects each tensor to be equal size, but got [63, 52] at entry 0 and [0, 52] at entry 26