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sanghyun-son / EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
MIT License
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ValueError: x and y must have same first dimension, but have shapes (0,) and (1,) #351

Open 1632325673 opened 1 year ago

1632325673 commented 1 year ago

Evaluation: 0it [00:00, ?it/s] [div2k x2] PSNR: nan (Best: nan @epoch 1) Forward: 1.97s

Saving... Traceback (most recent call last): File "main.py", line 33, in main() File "main.py", line 28, in main t.test() File "/data2/qinfl/EDSR/src/trainer.py", line 123, in test self.ckp.save(self, epoch, is_best=(best[1][0, 0] + 1 == epoch)) File "/data2/qinfl/EDSR/src/utility.py", line 97, in save self.plot_psnr(epoch) File "/data2/qinfl/EDSR/src/utility.py", line 124, in plot_psnr label='Scale {}'.format(scale) File "/data2/qinfl/YES/envs/EDSR1/lib/python3.6/site-packages/matplotlib/pyplot.py", line 2842, in plot ({"data": data} if data is not None else {}), kwargs) File "/data2/qinfl/YES/envs/EDSR1/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 1743, in plot lines = [self._get_lines(args, data=data, **kwargs)] File "/data2/qinfl/YES/envs/EDSR1/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 273, in call yield from self._plot_args(this, kwargs) File "/data2/qinfl/YES/envs/EDSR1/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 399, in _plot_args raise ValueError(f"x and y must have same first dimension, but " ValueError: x and y must have same first dimension, but have shapes (0,) and (1,)