stack expects each tensor to be equal size, but got [531, 674, 3] at entry 0 and [380, 885, 3] at entry 1

[dididichufale]

I have no way to solve this kind of problem. This kind of problem is usually caused by data processing, but I can't find the error. What can I do? D:\annaconda3\envs\aimbotenv\python.exe J:/stereo-transformer-main/stereo-transformer/main.py number of params in backbone: 1,050,800 number of params in transformer: 797,440 number of params in tokenizer: 503,728 number of params in regression: 161,843 0%| | 0/11195 [00:00<?, ?it/s]Start training Epoch: 0 0%| | 0/11195 [00:03<?, ?it/s] Traceback (most recent call last): File "J:/stereo-transformer-main/stereo-transformer/main.py", line 263, in main(args) File "J:/stereo-transformer-main/stereo-transformer/main.py", line 234, in main args.clip_max_norm, amp) File "J:\stereo-transformer-main\stereo-transformer\utilities\train.py", line 30, in train_one_epoch for idx, data in enumerate(tbar): File "D:\annaconda3\envs\aimbot_env\lib\site-packages\tqdm\std.py", line 1180, in iter for obj in iterable: File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next data = self._next_data() File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data\dataloader.py", line 1203, in _next_data return self._process_data(data) File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data\dataloader.py", line 1229, in _process_data data.reraise() File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch_utils.py", line 434, in reraise raise exception RuntimeError: Caught RuntimeError in DataLoader worker process 0. Original Traceback (most recent call last): File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data_utils\worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data_utils\fetch.py", line 52, in fetch return self.collate_fn(data) File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data_utils\collate.py", line 74, in default_collate return {key: default_collate([d[key] for d in batch]) for key in elem} File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data_utils\collate.py", line 74, in return {key: default_collate([d[key] for d in batch]) for key in elem} File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data_utils\collate.py", line 64, in default_collate return default_collate([torch.as_tensor(b) for b in batch]) File "D:\annaconda3\envs\aimbot_env\lib\site-packages\torch\utils\data_utils\collate.py", line 56, in default_collate return torch.stack(batch, 0, out=out) RuntimeError: stack expects each tensor to be equal size, but got [531, 674, 3] at entry 0 and [380, 885, 3] at entry 1

[Guzaiwang]

Yes, I have met the same problem. This is because of the random crop augmentation in the data loader process. If you want to set the batch size > 2, you can do the random crop process in the function ( forward_pass ) rather than in the definition of getitem.

[Guzaiwang]

When you set the batch size > 2, another problem may occur. It is because the batch size equals to 1 in the original code. You can see line 109 in the transform.py file.

Finally, the code could run and work well.