出錯：

Traceback (most recent call last):
 File "train.py",line 305,in <module>
 train_model(model_conv,criterion,optimizer_conv,exp_lr_scheduler)
 File "train.py",line 145,in train_model
 for inputs,age_labels,gender_labels in dataloaders[phase]:
 File "/home/home/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py",line 637,in __next__
 return self._process_next_batch(batch)
 File "/home/home/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py",line 658,in _process_next_batch
 raise batch.exc_type(batch.exc_msg)
RuntimeError: Traceback (most recent call last):
 File "/home/home/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py",line 138,in _worker_loop
 samples = collate_fn([dataset[i] for i in batch_indices])
 File "/home/home/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py",line 232,in default_collate
 return [default_collate(samples) for samples in transposed]
 File "/home/home/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py",in <listcomp>
 return [default_collate(samples) for samples in transposed]
 File "/home/home/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py",line 209,in default_collate
 return torch.stack(batch,out=out)
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 224 and 228 in dimension 3 at /pytorch/aten/src/TH/generic/THTensorMoreMath.cpp:1307

這是因為輸入的大小不匹配，跟資料集有關，也跟資料預處理中的函式相關：

transforms.Resize(input_size)

該函式是按比例縮放，可能是因為該資料集的解析度不同，所以出來的結果不是(224,224)的，解決辦法是改為使用：

transforms.Resize((input_size,input_size))

即可

以上這篇pytorch資料預處理錯誤的解決就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。