The paddle experts can just ignore this issure. I just record the error here. It is not urgent. I will check it when I have time.

bug描述 Describe the Bug

for index, (images, labels) in enumerate(paddle_dataloader):
        if index > 5:
            break
        print(images.shape, labels.shape)

environment: Win11, pycharm, cpu, PaddlePaddle 2.3, python 3.7
I find the bug when I run the file C:\Users\Administrator\Desktop\contests\20220715_paddle_lwfx_7th\Going-deeper-with-Image-Transformers-using-PaddlePaddle\02_test_data.py

The error message is as follows:

Not using distributed mode
Namespace(aa='rand-m9-mstd0.5-inc1', batch_size=8, clip_grad=None, color_jitter=0.4, cooldown_epochs=10, cutmix=1.0, cutmix_minmax=None, data_path='C:\\Users\\Administrator\\Desktop\\contests\\20220715_paddle_lwfx_7th\\imagenet_dataset\\ILSVRC2012_img_val', data_set='IMNET', decay_epochs=30, decay_rate=0.1, device='cpu', dist_eval=False, dist_url='env://', distillation_alpha=0.5, distillation_tau=1.0, distillation_type='none', distributed=False, drop=0.0, drop_path=0.1, epochs=300, eval=False, finetune='', inat_category='name', input_size=224, lr=0.0005, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, min_lr=1e-05, mixup=0.8, mixup_mode='batch', mixup_prob=1.0, mixup_switch_prob=0.5, model='cait_XXS24', model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, momentum=0.9, num_workers=0, opt='adamw', opt_betas=None, opt_eps=1e-08, output_dir='', patience_epochs=10, pin_mem=True, pretrained=False, recount=1, remode='pixel', repeated_aug=True, reprob=0.25, resplit=False, resume='', sched='cosine', seed=0, smoothing=0.1, start_epoch=0, teacher_model='regnety_160', teacher_path='', train_info_txt='C:\\Users\\Administrator\\Desktop\\contests\\20220715_paddle_lwfx_7th\\imagenet_dataset\\train_list_empty.txt', train_interpolation='bicubic', val_info_txt='C:\\Users\\Administrator\\Desktop\\contests\\20220715_paddle_lwfx_7th\\imagenet_dataset\\val_list.txt', warmup_epochs=5, warmup_lr=1e-06, weight_decay=0.05, world_size=1)
[12, 3, 224, 224] [12]
[12, 3, 224, 224] [12]
[12, 3, 224, 224] [12]
[12, 3, 224, 224] [12]
[12, 3, 224, 224] [12]
[12, 3, 224, 224] [12]
fail to perform transform [<paddle.vision.transforms.transforms.ToTensor object at 0x0000025CB918B9E8>] with error: We only support 'to_tensor()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode. and stack:
Traceback (most recent call last):
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 113, in __call__
    data = f(data)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 269, in __call__
    outputs.append(apply_func(inputs[i]))
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 355, in _apply_image
    return F.to_tensor(img, self.data_format)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\functional.py", line 82, in to_tensor
    return F_pil.to_tensor(pic, data_format)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\functional_pil.py", line 88, in to_tensor
    img = paddle.to_tensor(np.array(pic, copy=False))
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\decorator.py", line 232, in fun
    return caller(func, *(extras + args), **kw)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in __impl__
    return wrapped_func(*args, **kwargs)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\fluid\framework.py", line 433, in __impl__
    ), "We only support '%s()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode." % func.__name__
AssertionError: We only support 'to_tensor()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode.

Exception in thread Thread-3:
Traceback (most recent call last):
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\threading.py", line 917, in _bootstrap_inner
    self.run()
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\threading.py", line 865, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\fluid\dataloader\dataloader_iter.py", line 218, in _thread_loop
    self._thread_done_event)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\fluid\dataloader\fetcher.py", line 121, in fetch
    data.append(self.dataset[idx])
  File "C:\Users\Administrator\Desktop\contests\20220715_paddle_lwfx_7th\Going-deeper-with-Image-Transformers-using-PaddlePaddle\CaiT_paddle\datasets.py", line 126, in __getitem__
    image = self.transforms(image)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 118, in __call__
    raise e
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 113, in __call__
    data = f(data)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 269, in __call__
    outputs.append(apply_func(inputs[i]))
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\transforms.py", line 355, in _apply_image
    return F.to_tensor(img, self.data_format)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\functional.py", line 82, in to_tensor
    return F_pil.to_tensor(pic, data_format)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\vision\transforms\functional_pil.py", line 88, in to_tensor
    img = paddle.to_tensor(np.array(pic, copy=False))
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\decorator.py", line 232, in fun
    return caller(func, *(extras + args), **kw)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in __impl__
    return wrapped_func(*args, **kwargs)
  File "C:\Users\Administrator\Anaconda3\envs\paddle-2.3-pytorch-1.8-python-3.7-env\lib\site-packages\paddle\fluid\framework.py", line 433, in __impl__
    ), "We only support '%s()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode." % func.__name__
AssertionError: We only support 'to_tensor()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode.

Process finished with exit code 0

Some situations that won't report the error:

1. using paddle dataloader, but the dataset is very small, so the dataloader is iterated without breaking from the "for" statement.

[12, 3, 224, 224] [12]
[12, 3, 224, 224] [12]
[6, 3, 224, 224] [6]

Process finished with exit code 0

2. use torch dataloader

3. when Process finished with exit code 0 doesn't occur, in my understanding, that is the python process doesn't terminate (I don't know how to express this situation)

In a word, I think when running a python file which includes the above code, if the program breaks from the iteration and then the python process terminates, then some strange error will occur. I'm not sure about it. I will check it in detail when I have time.

其他补充信息 Additional Supplementary Information

I'm not sure about the bug. I will check it in detail when I have time. You should pay attention to whether "Process finished with exit code 0" occurs. You need to understand what "Process finished with exit code 0" means.