training error

[kikiki1121]

I will ask you a new question. Is there a problem with torch? Is there a problem with EDSR source code? I am returning 0 to num_samples when preparing dataset. Windows 10

pytorch1.0.0 python3.6

D: EDSR \ src> python main.py --model EDSR --scale 2 --save edsr_x2 - n_resblocks 32 - n_feats 256 - res_scale 0.1 - reset 'rm' is an internal or external command, It is not recognized as an operable program or batch file. Traceback (most recent call last): File "main.py", line 20, in loader = data.Data (args) File "D: \ EDSR \ src \ data \ init.py", line 30, in init pin_memory = not args.cpu File "D: \ EDSR \ src \ dataloader.py", line 167, in init worker_init_fn = worker_init_fn File "C: \ Users \ forStudent \ AppData \ Local \ conda \ conda \ envs \ ib \ site-packages \ torch \ utils \ data \ dataloader.py", line 802, in init sampler = RandomSampler (dataset) File "C: \ Users \ AppData \ Local \ conda \ conda \ envs \ lib \ site-packages \ torch \ utils \ data \ sampler.py", line 64, in init "value, but got num_samples = {}". format (self.num_samples)) ValueError: num_samples should be a positive integeral value, but got num_samples = 0

[AbdulMoqeet]

Facing the same error, when tried on Google Colab.

ValueError: num_samples should be a positive integeral value, but got num_samples = 0

[lz28lz28]

Maybe your dataset is misplaced. I slove this problem by changing the dir_data argument in src/option.py. For example，your dir_data is '/home/xxx', and your dataset is '/home/xxx/DIV2K/...'

[kevinisbest]

@lz28lz28 can you explain more ? I have the same problem. My own dataset looks like this:

/home/kevin/document/dataset

└──custom2K
   ├──custom2K_train_HR
   │  ├──0000.png
   │  ├──0001.png
   │  └──...
   ├──custom2K_train_LR_bicubic
   │  ├──X2
   │  │  ├──0000x2.png
   │  │  ├──0001x2.png
   │  │  └──...
   │  ├──X3
   │  └──...
   └──custom2K_test_HR

And my option.py looks like this : Is it correct? Thank you for your reply.

[lz28lz28]

@kevinisbest Sorry，i don‘t know where your fault is.I hope that my reply may help you. My dataset looks like this: /home/jason/Documents/jason/EDSR-PyTorch-master/DIV2K/... └──DIV2K ├──DIV2K_train_HR │ ├──0000.png │ ├──0001.png │ └──... ├──DIV2K_train_LR_bicubic │ ├──X2 │ │ ├──0000x2.png │ │ ├──0001x2.png │ │ └──... │ ├──X3 │ └──... └──... My option.py looks like this :

[gitman88]

Still not able to evaluate the models. De dataset are located correctly but they the PSNR reported for each epoch is NaN.

[ZhengCai024]

The same problem, I also have faced. My dataset is: and src/option.py is: Thanks for any suggestions.

[arvindsaripalli]

@ZhengCai024, your --dir_data should be "/d/EDSR/EDSR-PyTorch-master/dataset/DIV2K". See if that works for you.

[arvindsaripalli]

@kevinisbest @kikiki1121, I was able to resolve the issue by combining my training and testing sets. The way that the code works is that you specify a split with the --data_range flag that operates on a single folder containing both training and testing data. The assumption is that train data comes before test data, for example 1 - 800 are train and 801 - 810 are test. This implementation is confusing because it differs from how DIV2K is actually laid out.

[guiji0812]

I will ask you a new question. Is there a problem with torch? Is there a problem with EDSR source code? I am returning 0 to num_samples when preparing dataset. Windows 10

pytorch1.0.0 python3.6

D: EDSR \ src> python main.py --model EDSR --scale 2 --save edsr_x2 - n_resblocks 32 - n_feats 256 - res_scale 0.1 - reset 'rm' is an internal or external command, It is not recognized as an operable program or batch file. Traceback (most recent call last): File "main.py", line 20, in loader = data.Data (args) File "D: \ EDSR \ src \ data \ init.py", line 30, in init pin_memory = not args.cpu File "D: \ EDSR \ src \ dataloader.py", line 167, in init worker_init_fn = worker_init_fn File "C: \ Users \ forStudent \ AppData \ Local \ conda \ conda \ envs \ ib \ site-packages \ torch \ utils \ data \ dataloader.py", line 802, in init sampler = RandomSampler (dataset) File "C: \ Users \ AppData \ Local \ conda \ conda \ envs \ lib \ site-packages \ torch \ utils \ data \ sampler.py", line 64, in init "value, but got num_samples = {}". format (self.num_samples)) ValueError: num_samples should be a positive integeral value, but got num_samples = 0

have you resolved this problem?I also get this error,can you give some advice?

[123tanchong]

Still not able to evaluate the models. De dataset are located correctly but they the PSNR reported for each epoch is NaN.

Have you solved this NaN problem

[Ccbov]

The same problem, I also have faced. My dataset is: and src/option.py is: Thanks for any suggestions.

@kikiki1121 hello,i meet the same problem,could you please give some advise for it?

[Ccbov]

@ZhengCai024 hello,i meet the same problem,could you please give some advise for it?

The same problem, I also have faced. My dataset is: and src/option.py is: Thanks for any suggestions.

I solve the probelm by putting the DIV2K under the dir named dataset, and modify the argument as parser.add_argument('--dir_data', type=str, default='../dataset', help='dataset directory')

[zhangmin4215]

@kevinisbest Sorry，i don‘t know where your fault is.I hope that my reply may help you. My dataset looks like this: /home/jason/Documents/jason/EDSR-PyTorch-master/DIV2K/... └──DIV2K ├──DIV2K_train_HR │ ├──0000.png │ ├──0001.png │ └──... ├──DIV2K_train_LR_bicubic │ ├──X2 │ │ ├──0000x2.png │ │ ├──0001x2.png │ │ └──... │ ├──X3 │ └──... └──... My option.py looks like this :

follow this structure and change my own dataset, then I can run the code successfully! Thank you very much!

[zhulintao]

Traceback (most recent call last): File "/Users/a58/super_resolution/EDSR-PyTorch/src/main.py", line 33, in main() File "/Users/a58/super_resolution/EDSR-PyTorch/src/main.py", line 22, in main loader = data.Data(args) ^^^^^^^^^^^^^^^ File "/Users/a58/super_resolution/EDSR-PyTorch/src/data/init.py", line 26, in init self.loader_train = dataloader.DataLoader( ^^^^^^^^^^^^^^^^^^^^^^ File "/Users/a58/super_resolution/EDSR-PyTorch/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 350, in init sampler = RandomSampler(dataset, generator=generator) # type: ignore[arg-type] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/a58/super_resolution/EDSR-PyTorch/.venv/lib/python3.12/site-packages/torch/utils/data/sampler.py", line 143, in init raise ValueError(f"num_samples should be a positive integer value, but got num_samples={self.num_samples}") ValueError: num_samples should be a positive integer value, but got num_samples=0