pytorch數據預處理錯誤

 

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", line 232, 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, 0, 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，跟數據集有關，也跟數據預處理中的函數相關：

transforms.Resize(input_size)

該函數是按比例縮放，可能是因為該數據集的分辨率不同，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