When I run Line 30 of the Lesson1 Notebook I get following Error:
RuntimeError: CUDA error: no kernel image is available for execution on the device
When tried Torch first time I had also got a Warning saying OLD GPU, does that mean I can NOT run pytorch and fastai libraries on my current laptop with this NVIDIA GPU ?
UserWarning:
Found GPU0 Quadro K1100M which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
warnings.warn(old_gpu_warn % (d, name, major, capability[1]))
Error in Notebook
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-30-66824b983385> in <module>
----> 1 data.show_batch(rows=3, figsize=(7,6))
~\Anaconda3\lib\site-packages\fastai\basic_data.py in show_batch(self, rows, ds_type, **kwargs)
179 def show_batch(self, rows:int=5, ds_type:DatasetType=DatasetType.Train, **kwargs)->None:
180 "Show a batch of data in `ds_type` on a few `rows`."
--> 181 x,y = self.one_batch(ds_type, True, True)
182 n_items = rows **2 if self.train_ds.x._square_show else rows
183 if self.dl(ds_type).batch_size < n_items: n_items = self.dl(ds_type).batch_size
~\Anaconda3\lib\site-packages\fastai\basic_data.py in one_batch(self, ds_type, detach, denorm, cpu)
162 w = self.num_workers
163 self.num_workers = 0
--> 164 try: x,y = next(iter(dl))
165 finally: self.num_workers = w
166 if detach: x,y = to_detach(x,cpu=cpu),to_detach(y,cpu=cpu)
~\Anaconda3\lib\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
~\Anaconda3\lib\site-packages\fastai\basic_data.py in proc_batch(self, b)
68 "Process batch `b` of `TensorImage`."
69 b = to_device(b, self.device)
---> 70 for f in listify(self.tfms): b = f(b)
71 return b
72
~\Anaconda3\lib\site-packages\fastai\vision\data.py in _normalize_batch(b, mean, std, do_x, do_y)
65 x,y = b
66 mean,std = mean.to(x.device),std.to(x.device)
---> 67 if do_x: x = normalize(x,mean,std)
68 if do_y and len(y.shape) == 4: y = normalize(y,mean,std)
69 return x,y
~\Anaconda3\lib\site-packages\fastai\vision\data.py in normalize(x, mean, std)
55 def normalize(x:TensorImage, mean:FloatTensor,std:FloatTensor)->TensorImage:
56 "Normalize `x` with `mean` and `std`."
---> 57 return (x-mean[...,None,None]) / std[...,None,None]
58
59 def denormalize(x:TensorImage, mean:FloatTensor,std:FloatTensor, do_x:bool=True)->TensorImage:
RuntimeError: CUDA error: no kernel image is available for execution on the device
