ret = ret.dtype.type(ret / rcount) Mean PSNR: nan, SSIM: nan, TIME: nan ms

[zeenattf]

i train the model, its working fine , but when i test on any dataset, eg set5 it outputs ret = ret.dtype.type(ret / rcount)
Mean PSNR: nan, SSIM: nan, TIME: nan ms

[zeenattf]

esrt) zeenat@zeenat-HP-Z4-G4-Workstation:/media/zeenat/B69443DA94439BAD/ESRT$ python3 test.py --upscale_factor 4
Namespace(test_hr_folder='Test_Datasets/Set5/', test_lr_folder='Test_Datasets/Set5_LR/x4/', output_folder='results/Set5/x4', checkpoint='/media/zeenat/B69443DA94439BAD/ESRT/experiment/checkpoint_ESRT_x4/epoch_20.pth', cuda=True, upscale_factor=4, is_y=True)
scale 0.16666666666666666
288
36
/home/zeenat/.local/lib/python3.10/site-packages/numpy/_core/fromnumeric.py:3860: RuntimeWarning: Mean of empty slice.
return _methods._mean(a, axis=axis, dtype=dtype,
/home/zeenat/.local/lib/python3.10/site-packages/numpy/_core/_methods.py:145: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Mean PSNR: nan, SSIM: nan, TIME: nan ms