我正在尝试在Google Colab上复制此kaggle笔记本https://www.kaggle.com/tanlikesmath/diabetic-retinopathy-with-resnet50-oversampling。到昨天为止，该代码运行良好，但今天却抛出了运行时错误。下面是有问题的代码:
tfms = get_transforms(do_flip=True,flip_vert=True,max_rotate=360,max_warp=0,max_zoom=1.1,max_lighting=0.1,p_lighting=0.5)
src = (ImageList.from_df(df=df,path=data_path,cols='path') #get dataset from dataset //ImageItemList threw errors so changed to ImageList
.split_by_idx(range(len(train_df)-1,len(df))) #Splitting the dataset
.label_from_df(cols='level') #obtain labels from the level column
)
data= (src.transform(tfms,size=sz) #Data augmentation
.databunch(bs=bs,num_workers=0) #DataBunch
.normalize(imagenet_stats) #Normalize
)
我收到以下错误:
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in _check_kwargs(ds, tfms, **kwargs)
593 x = ds[0]
--> 594 try: x.apply_tfms(tfms, **kwargs)
595 except Exception as e:
8 frames
/usr/local/lib/python3.6/dist-packages/fastai/vision/image.py in apply_tfms(self, tfms, do_resolve, xtra, size, resize_method, mult, padding_mode, mode, remove_out)
122 x = tfm(x, size=_get_crop_target(size,mult=mult), padding_mode=padding_mode)
--> 123 else: x = tfm(x)
124 return x.refresh()
/usr/local/lib/python3.6/dist-packages/fastai/vision/image.py in __call__(self, x, *args, **kwargs)
523 "Randomly execute our tfm on `x`."
--> 524 return self.tfm(x, *args, **{**self.resolved, **kwargs}) if self.do_run else x
525
/usr/local/lib/python3.6/dist-packages/fastai/vision/image.py in __call__(self, p, is_random, use_on_y, *args, **kwargs)
469 "Calc now if `args` passed; else create a transform called prob `p` if `random`."
--> 470 if args: return self.calc(*args, **kwargs)
471 else: return RandTransform(self, kwargs=kwargs, is_random=is_random, use_on_y=use_on_y, p=p)
/usr/local/lib/python3.6/dist-packages/fastai/vision/image.py in calc(self, x, *args, **kwargs)
474 "Apply to image `x`, wrapping it if necessary."
--> 475 if self._wrap: return getattr(x, self._wrap)(self.func, *args, **kwargs)
476 else: return self.func(x, *args, **kwargs)
/usr/local/lib/python3.6/dist-packages/fastai/vision/image.py in affine(self, func, *args, **kwargs)
182 m = tensor(func(*args, **kwargs)).to(self.device)
--> 183 self.affine_mat = self.affine_mat @ m
184 return self
RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #3 'mat2' in call to _th_addmm_out
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
<ipython-input-74-31aae73a70fc> in <module>()
6 )
7 print(src)
----> 8 data= (src.transform(tfms,size=sz) #Data augmentation
9 .databunch(bs=bs,num_workers=0) #DataBunch
10 .normalize(imagenet_stats) #Normalize
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in transform(self, tfms, **kwargs)
503 if not tfms: tfms=(None,None)
504 assert is_listy(tfms) and len(tfms) == 2, "Please pass a list of two lists of transforms (train and valid)."
--> 505 self.train.transform(tfms[0], **kwargs)
506 self.valid.transform(tfms[1], **kwargs)
507 if self.test: self.test.transform(tfms[1], **kwargs)
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in transform(self, tfms, tfm_y, **kwargs)
722 def transform(self, tfms:TfmList, tfm_y:bool=None, **kwargs):
723 "Set the `tfms` and `tfm_y` value to be applied to the inputs and targets."
--> 724 _check_kwargs(self.x, tfms, **kwargs)
725 if tfm_y is None: tfm_y = self.tfm_y
726 tfms_y = None if tfms is None else list(filter(lambda t: getattr(t, 'use_on_y', True), listify(tfms)))
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in _check_kwargs(ds, tfms, **kwargs)
594 try: x.apply_tfms(tfms, **kwargs)
595 except Exception as e:
--> 596 raise Exception(f"It's not possible to apply those transforms to your dataset:\n {e}")
597
598 class LabelList(Dataset):
Exception: It's not possible to apply those transforms to your dataset:
Expected object of scalar type Float but got scalar type Double for argument #3 'mat2' in call to _th_addmm_out
我没有更改此代码，它与昨天相同，但由于某种原因，今天它给了我一个错误。请帮助。
编辑:我发现它在我本地的Jupyter笔记本上运行正常。仍然显示Colab错误
最佳答案
似乎在colab中使用了割炬的某些问题
FastAI Forum
在运行fastAI python代码之前，尝试在您的colab中安装特定版本的手电筒
!pip install "torch==1.4" "torchvision==0.5.0"
关于pytorch - 在FastAI中将图像增强变换应用于数据时出错，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/61503339/