pytorch数据预处理错误 pytorch数据预处理错误的解决
慢行厚积 人气:1出错：
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
这是因为输入的大小不匹配，跟数据集有关，也跟数据预处理中的函数相关：
transforms.Resize(input_size)
该函数是按比例缩放，可能是因为该数据集的分辨率不同，所以出来的结果不是(224,224)的，解决办法是改为使用：
transforms.Resize((input_size, input_size))
即可
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