[Epoch 1] Learning rate: 2.50e-6
down loss: process bicubically
original size is: torch.Size([8, 3, 192, 192]) type: <class 'torch.Tensor'>
Traceback (most recent call last):
File "main.py", line 19, in
t.train()
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/trainer.py", line 52, in train
loss = self.loss(sr, hr)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, kwargs)
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/loss/init.py", line 97, in forward
sr_down = bicubic_down(sr)
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/loss/downsr.py", line 21, in bicubic_down
misc.imsave(str(idx)+"_ori.png", each_batch)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/numpy/lib/utils.py", line 101, in newfunc
return func(*args, *kwds)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/scipy/misc/pilutil.py", line 217, in imsave
im = toimage(arr, channel_axis=2)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/numpy/lib/utils.py", line 101, in newfunc
return func(args, kwds)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/scipy/misc/pilutil.py", line 320, in toimage
data = asarray(arr)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/numpy/core/numeric.py", line 492, in asarray
return array(a, dtype, copy=False, order=order)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/torch/tensor.py", line 376, in array
return self.cpu().numpy()
RuntimeError: Can't call numpy() on Variable that requires grad. Use var.detach().numpy() instead.
[Epoch 1] Learning rate: 2.50e-6 down loss: process bicubically original size is: torch.Size([8, 3, 192, 192]) type: <class 'torch.Tensor'> Traceback (most recent call last): File "main.py", line 19, in
t.train()
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/trainer.py", line 52, in train
loss = self.loss(sr, hr)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, kwargs)
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/loss/init.py", line 97, in forward
sr_down = bicubic_down(sr)
File "/usr/project/xtmp/superresoluter/code/main/code_lei2/loss/downsr.py", line 21, in bicubic_down
misc.imsave(str(idx)+"_ori.png", each_batch)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/numpy/lib/utils.py", line 101, in newfunc
return func(*args, *kwds)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/scipy/misc/pilutil.py", line 217, in imsave
im = toimage(arr, channel_axis=2)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/numpy/lib/utils.py", line 101, in newfunc
return func(args, kwds)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/scipy/misc/pilutil.py", line 320, in toimage
data = asarray(arr)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/numpy/core/numeric.py", line 492, in asarray
return array(a, dtype, copy=False, order=order)
File "/home/home2/leichen/.local/lib/python3.5/site-packages/torch/tensor.py", line 376, in array
return self.cpu().numpy()
RuntimeError: Can't call numpy() on Variable that requires grad. Use var.detach().numpy() instead.