Hi ! I just clone repo and work on the lesson1-pets.ipynb and when I’m run this
data = ImageDataBunch.from_name_re(path_img, fnames, pat, ds_tfms=get_transforms(), size=224, bs=bs).normalize(imagenet_stats)
this cell it’s given a error like that and when the next cell run it’ will give another error like that:
My enviroments:
How can I fix this ?
Thanks 
Hi to everyone, I found nearly the same ‘Exception Error’ while running Lesson 1.
Thanks in advance for you help or suggestions.
After running the code with num_workers=0 in ImageDataBunch, where the bs=16 :
data = ImageDataBunch.from_name_re(path_img, fnames, pat, ds_tfms=get_transforms(), size=224, num_workers=0,bs=bs
).normalize(imagenet_stats)
The result is:
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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:
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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()
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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-9-823e074f18df> in <module>
----> 1 data = ImageDataBunch.from_name_re(path_img, fnames, pat, ds_tfms=get_transforms(), size=224, num_workers=0,bs=bs
2 ).normalize(imagenet_stats)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/data.py in from_name_re(cls, path, fnames, pat, valid_pct, **kwargs)
156 assert res,f'Failed to find "{pat}" in "{fn}"'
157 return res.group(1)
--> 158 return cls.from_name_func(path, fnames, _get_label, valid_pct=valid_pct, **kwargs)
159
160 @staticmethod
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/data.py in from_name_func(cls, path, fnames, label_func, valid_pct, seed, **kwargs)
145 "Create from list of `fnames` in `path` with `label_func`."
146 src = ImageList(fnames, path=path).split_by_rand_pct(valid_pct, seed)
--> 147 return cls.create_from_ll(src.label_from_func(label_func), **kwargs)
148
149 @classmethod
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/data.py in create_from_ll(cls, lls, bs, val_bs, ds_tfms, num_workers, dl_tfms, device, test, collate_fn, size, no_check, resize_method, mult, padding_mode, mode, tfm_y)
95 "Create an `ImageDataBunch` from `LabelLists` `lls` with potential `ds_tfms`."
96 lls = lls.transform(tfms=ds_tfms, size=size, resize_method=resize_method, mult=mult, padding_mode=padding_mode,
---> 97 mode=mode, tfm_y=tfm_y)
98 if test is not None: lls.add_test_folder(test)
99 return lls.databunch(bs=bs, val_bs=val_bs, dl_tfms=dl_tfms, num_workers=num_workers, collate_fn=collate_fn,
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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)))
~/opt/anaconda3/envs/fastai/lib/python3.7/site-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: Its 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
If I first run ImageDataBunch without num_workers=0 :
data = ImageDataBunch.from_name_re(path_img, fnames, pat, ds_tfms=get_transforms(), size=224,bs=bs
).normalize(imagenet_stats)
I get this:
You can deactivate this warning by passing `no_check=True`.
/Users/.../opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/basic_data.py:262: UserWarning: There seems to be something wrong with your dataset, for example, in the first batch cant access these elements in self.train_ds: 1065,3058,4571,1898,2600...
warn(warn_msg)
and at the next step:
data.show_batch(rows=3, figsize=(7,6))
I get again a failure:
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-10-66824b983385> in <module>
----> 1 data.show_batch(rows=3, figsize=(7,6))
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/basic_data.py in show_batch(self, rows, ds_type, reverse, **kwargs)
184 def show_batch(self, rows:int=5, ds_type:DatasetType=DatasetType.Train, reverse:bool=False, **kwargs)->None:
185 "Show a batch of data in `ds_type` on a few `rows`."
--> 186 x,y = self.one_batch(ds_type, True, True)
187 if reverse: x,y = x.flip(0),y.flip(0)
188 n_items = rows **2 if self.train_ds.x._square_show else rows
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/basic_data.py in one_batch(self, ds_type, detach, denorm, cpu)
167 w = dl.num_workers
168 dl.num_workers = 0
--> 169 try: x,y = next(iter(dl))
170 finally: dl.num_workers = w
171 if detach: x,y = to_detach(x,cpu=cpu),to_detach(y,cpu=cpu)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/basic_data.py in __iter__(self)
73 def __iter__(self):
74 "Process and returns items from `DataLoader`."
---> 75 for b in self.dl: yield self.proc_batch(b)
76
77 @classmethod
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/utils/data/dataloader.py in __next__(self)
343
344 def __next__(self):
--> 345 data = self._next_data()
346 self._num_yielded += 1
347 if self._dataset_kind == _DatasetKind.Iterable and \
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/utils/data/dataloader.py in _next_data(self)
383 def _next_data(self):
384 index = self._next_index() # may raise StopIteration
--> 385 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
386 if self._pin_memory:
387 data = _utils.pin_memory.pin_memory(data)
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py in fetch(self, possibly_batched_index)
42 def fetch(self, possibly_batched_index):
43 if self.auto_collation:
---> 44 data = [self.dataset[idx] for idx in possibly_batched_index]
45 else:
46 data = self.dataset[possibly_batched_index]
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py in <listcomp>(.0)
42 def fetch(self, possibly_batched_index):
43 if self.auto_collation:
---> 44 data = [self.dataset[idx] for idx in possibly_batched_index]
45 else:
46 data = self.dataset[possibly_batched_index]
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/data_block.py in __getitem__(self, idxs)
652 else: x,y = self.item ,0
653 if self.tfms or self.tfmargs:
--> 654 x = x.apply_tfms(self.tfms, **self.tfmargs)
655 if hasattr(self, 'tfms_y') and self.tfm_y and self.item is None:
656 y = y.apply_tfms(self.tfms_y, **{**self.tfmargs_y, 'do_resolve':False})
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/image.py in apply_tfms(self, tfms, do_resolve, xtra, size, resize_method, mult, padding_mode, mode, remove_out)
121 if resize_method in (ResizeMethod.CROP,ResizeMethod.PAD):
122 x = tfm(x, size=_get_crop_target(size,mult=mult), padding_mode=padding_mode)
--> 123 else: x = tfm(x)
124 return x.refresh()
125
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/image.py in __call__(self, x, *args, **kwargs)
522 def __call__(self, x:Image, *args, **kwargs)->Image:
523 "Randomly execute our tfm on `x`."
--> 524 return self.tfm(x, *args, **{**self.resolved, **kwargs}) if self.do_run else x
525
526 def _resolve_tfms(tfms:TfmList):
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/image.py in __call__(self, p, is_random, use_on_y, *args, **kwargs)
468 def __call__(self, *args:Any, p:float=1., is_random:bool=True, use_on_y:bool=True, **kwargs:Any)->Image:
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)
472
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/image.py in calc(self, x, *args, **kwargs)
473 def calc(self, x:Image, *args:Any, **kwargs:Any)->Image:
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)
477
~/opt/anaconda3/envs/fastai/lib/python3.7/site-packages/fastai/vision/image.py in affine(self, func, *args, **kwargs)
181 "Equivalent to `image.affine_mat = image.affine_mat @ func()`."
182 m = tensor(func(*args, **kwargs)).to(self.device)
--> 183 self.affine_mat = self.affine_mat @ m
184 return self
185
RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #3 'mat2' in call to _th_addmm_out
My OS is macOS Catalina v. 10.15.3:
=== Software ===
python : 3.7.6
fastai : 1.0.60
fastprogress : 0.2.2
torch : 1.5.0a0+917e56e
torch cuda : None / is **Not available**
=== Hardware ===
No GPUs available
=== Environment ===
platform : Darwin-19.3.0-x86_64-i386-64bit
conda env : fastai
python : /Users/.../opt/anaconda3/envs/fastai/bin/python
sys.path : /Users/.../Documents/GitHub/course-v3/zh-nbs
/Users/.../opt/anaconda3/envs/fastai/lib/python37.zip
/Users/.../opt/anaconda3/envs/fastai/lib/python3.7
/Users/.../opt/anaconda3/envs/fastai/lib/python3.7/lib-dynload
/Users/.../opt/anaconda3/envs/fastai/lib/python3.7/site-packages
/Users/.../opt/anaconda3/envs/fastai/lib/python3.7/site-packages/IPython/extensions
/Users/.../.ipython
no supported gpus found on this system
Were you able to solve this error? I’m getting the same error and have no clue o how to proceed further
Hi torch==1.5 is not working with fastai as of now try using torch==1.4.
Use this command to install
pip install torch===1.4.0 torchvision===0.5.0 -f https://download.pytorch.org/whl/torch_stable.html