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After going through Jun's route, and accidentally stumbling upon some obscure diseases after jumping through a huge rabbit hole, it hit me. Could it be that Jun has a disease called Williams-Beuren syndrome? The symptoms for this disease include having bubbly personalities, full cheeks, varying degrees of mental proficiency, and most notably heart defects and an affinity for music. Reading those symptoms, I couldn't help but wonder if some of Jun's scenes (like the part where he never gets more than 50% on a test, him clutching his chest after strenuous activity, and for being good at music) are because of that syndrome. Thoughts?

Could it be that I have CUDA 10.2 installed? Should I uninstall it and install an older version? (It says on the github that it uses CUDA 9.0)

OS: Windows 10 Home 64-bit

CPU: Intel i5-8265U

GPU: nVidia MX130

I keep getting this error whenever I try to render something.

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 148, in forward
  File "networks\DAIN_slowmotion.py", line 212, in forward_flownets
  File "site-packages\torch\nn\modules\module.py", line 541, in __call__
  File "PWCNet\PWCNet.py", line 220, in forward
  File "site-packages\torch\nn\modules\module.py", line 541, in __call__
  File "PWCNet\correlation_package_pytorch1_0\correlation.py", line 59, in forward
  File "PWCNet\correlation_package_pytorch1_0\correlation.py", line 27, in forward
RuntimeError: CUDA call failed (correlation_forward_cuda at correlation_cuda.cc:80)
(no backtrace available)

My GPU supports CUDA, and I have 8gb of ram so its definitely not a memory issue, 

Any solutions?