CUDA out of memory. Tried to allocate 60.00 MiB (GPU 0; 6.00 GiB total capacity; 348.98 MiB already allocated; 8.99 MiB free; 444.00 MiB reserved in total by PyTorch)
Full stack is as below. No other VRAM-sensitive apps were running at the meanwhile.
12-2-2020 16:29:30: [E] Traceback (most recent call last):
12-2-2020 16:29:30: [E] File "interp-parallel.py", line 138, in <module>
12-2-2020 16:29:30: [E] inferences = make_inference(model, I0, I1, exp=args.times)
12-2-2020 16:29:30: [E] File "interp-parallel.py", line 110, in make_inference
12-2-2020 16:29:30: [E] middle = model.inference(I0, I1)
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\rife-cuda\model\RIFE.py", line 207, in inference
12-2-2020 16:29:30: [E] return self.predict(imgs, flow, training=False).detach()
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\rife-cuda\model\RIFE.py", line 191, in predict
12-2-2020 16:29:30: [E] refine_output, warped_img0, warped_img1, warped_img0_gt, warped_img1_gt = self.fusionnet(
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\py\Lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
12-2-2020 16:29:30: [E] result = self.forward(*input, **kwargs)
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\rife-cuda\model\RIFE.py", line 118, in forward
12-2-2020 16:29:30: [E] x = self.up3(torch.cat((x, s0), 1))
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\py\Lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
12-2-2020 16:29:30: [E] result = self.forward(*input, **kwargs)
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\py\Lib\site-packages\torch\nn\modules\container.py", line 117, in forward
12-2-2020 16:29:30: [E] input = module(input)
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\py\Lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
12-2-2020 16:29:30: [E] result = self.forward(*input, **kwargs)
12-2-2020 16:29:30: [E] File "D:\Apps\Flowframes\FlowframesData\pkgs\py\Lib\site-packages\torch\nn\modules\conv.py", line 905, in forward
12-2-2020 16:29:30: [E] return F.conv_transpose2d(
12-2-2020 16:29:30: [E] RuntimeError: CUDA out of memory. Tried to allocate 60.00 MiB (GPU 0; 6.00 GiB total capacity; 348.98 MiB already allocated; 8.99 MiB free; 444.00 MiB reserved in total by PyTorch)