I get the same error 90% of the time
cudnn is used
OK
D:/Hentai/Pics/1566840918519.gif
Input FPS: 12.5
QWindowsNativeFileDialogBase::shellItem : Unhandled scheme: "data"
C:/Users/Deej/Desktop
D:/Hentai/Pics/1566840918519.gif
C:/Users/Deej/Desktop/1566840918519//1566840918519.mp4
12.5
0
0
1
Interpolate 1 frames
The testing model weight is: ./model_weights/best.pth
Framerate Index: 0
D:\DAIN_APP Alpha\torch\nn\functional.py:2494: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
D:\DAIN_APP Alpha\torch\nn\functional.py:2693: UserWarning: Default grid_sample and affine_grid behavior will be changed to align_corners=False from 1.4.0. See the documentation of grid_sample for details.
warnings.warn("Default grid_sample and affine_grid behavior will be changed "
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
Traceback (most recent call last):
File "my_design.py", line 79, in render
File "my_DAIN_class.py", line 469, in RenderVideo
File "my_DAIN_class.py", line 202, in interpolate
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "networks\DAIN_slowmotion.py", line 182, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "Resblock\BasicBlock.py", line 81, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "site-packages\torch\nn\modules\container.py", line 92, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "site-packages\torch\nn\modules\conv.py", line 345, in forward
File "site-packages\torch\nn\modules\conv.py", line 342, in conv2d_forward
RuntimeError: CUDA out of memory. Tried to allocate 280.00 MiB (GPU 0; 4.00 GiB total capacity; 2.92 GiB already allocated; 0 bytes free; 35.32 MiB cached)