I migth not be the fist one to ask this but i cant find an answer to this, im not quite sure why its happenin buuuuut here we are...
the program starts render but display this error and then closes.... Any ideas of how i can fix this?
PC Settings-----------------------------------------------------------------
AMD Ryzen 7 2700x 8-core processor
8GB RAM
Windows 10
GeForce RTX 2070
ERROR ----------------------------------------------------------------------
cudnn is used
OK
C:/Users/Ulises/Desktop/DAIN/Zero 12fps.gif
Input FPS: 9.166666666666666
C:/Users/Ulises/Desktop/DAIN
C:/Users/Ulises/Desktop/DAIN/Zero 12fps.gif
C:/Users/Ulises/Desktop/DAIN/Zero 12fps//Zero 12fps.mp4
9.0
0
0
0
Interpolate 1 frames
The testing model weight is: ./model_weights/best.pth
Framerate Index: 0
C:\Users\Ulises\Desktop\DAIN\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)
C:\Users\Ulises\Desktop\DAIN\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 82, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "Resblock\BasicBlock.py", line 36, 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 512.00 MiB (GPU 0; 8.00 GiB total capacity; 5.73 GiB already allocated; 262.97 MiB free; 71.76 MiB cached)