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
5条答案
按热度按时间dphi5xsq1#
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uz75evzq2#
when running C:\Users\Administrator\Desktop\contests\contests_that_have_ended\20220509_paddle_lwfx\task3-Going-deeper-with-Image-Transformers\02_test_data.py , the result is as follows:
when running C:\Users\Administrator\Desktop\contests\20220715_paddle_lwfx_7th\Going-deeper-with-Image-Transformers-using-PaddlePaddle\02_test_data.py, the result is as follows:
mwecs4sa3#
Is the environment variable PYTHONUNBUFFERED the cause of the error ?? I'm not sure.
w3nuxt5m4#
I found this error when I reproducing a paper:
https://github.com/OccupyMars2025/Going-deeper-with-Image-Transformers-using-PaddlePaddle
vbkedwbf5#
Try call paddle.disable_static() at the beginning of your code, it seems enter static graph mode in default.