title: RuntimeError: CUDA out of memory. Tried to allocate 754.00 MiB (GPU 0; 2.00 GiB total capacity; 1.21 GiB already allocated ...)
body: <p>I'm trying transform video into high FPS footage using Super-SloMo
  <a href="https://www.youtube.com/watch?v=mXwXtIiOjRA&amp;t=329s" rel="nofollow noreferrer">https://www.youtube.com/watch?v=mXwXtIiOjRA&amp;t=329s</a></p>
  
  <p>and when I run this process in Anaconda prompt it stops after about 30 seconds and shows me this 
  <strong>"RuntimeError: CUDA out of memory. Tried to allocate 754.00 MiB (GPU 0; 2.00 GiB total capacity; 1.21 GiB already allocated; 144.74 MiB free; 10.06 MiB cached)"</strong></p>
  
  <p>I don't really know what is going there, and I have few questions about that.</p>
  
  <p><strong>My Laptop specs: intel i3-7100u with Gefroce 920mx dedicated graphics card</strong></p>
  
  <ol>
  <li>so when I look at task manager during this process only CPU is loaded and Gpu-s are not, so is it correct? like maybe GPU can process thoes things?</li>
  <li>process stops and writes "RuntimeError: CUDA out of memory. Tried to allocate 754.00 MiB (<strong>GPU 0</strong>...) Can i somehow make cuda to use GPU 1 instead of GPU 0? maybe that would help.</li>
  </ol>
  
  <p>as I saw in video I linked, this process can be done with processor or nvidia grapics card, and doing it with nvidia would be much faster.</p>
  
  <p><a href="https://i.stack.imgur.com/tfa20.jpg" rel="nofollow noreferrer">This is what it looks when it is running</a></p>
  
  <p><a href="https://i.stack.imgur.com/wSaTU.jpg" rel="nofollow noreferrer">This is when it stops</a></p>
  
  <p>code is here:</p>
  
  <pre><code>(base) C:\Users\Nika&gt;cd /d D:\SlowMo\SuperSloMo
  
  (base) D:\SlowMo\SuperSloMo&gt;python video_to_slomo.py --ffmpeg D:\SlowMo\ffmpeg\bin\ --video D:\SlowMo\Input\Rotate.mp4 --sf 4 --checkpoint D:\SlowMo\SuperSloMo\SuperSloMo.ckpt --fps 120 --output D:\SlowMo\Output\Rotate120.mkv
  D:\SlowMo\ffmpeg\bin\ffmpeg -i D:\SlowMo\Input\Rotate.mp4 -vsync 0 tmpSuperSloMo\input/%06d.png
  ffmpeg version N-94156-g93a73df54d Copyright (c) 2000-2019 the FFmpeg developers
    built with gcc 9.1.1 (GCC) 20190621
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
    libavutil      56. 30.100 / 56. 30.100
    libavcodec     58. 53.101 / 58. 53.101
    libavformat    58. 28.101 / 58. 28.101
    libavdevice    58.  7.100 / 58.  7.100
    libavfilter     7. 56.100 /  7. 56.100
    libswscale      5.  4.101 /  5.  4.101
    libswresample   3.  4.100 /  3.  4.100
    libpostproc    55.  4.100 / 55.  4.100
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'D:\SlowMo\Input\Rotate.mp4':
    Metadata:
      major_brand     : mp42
      minor_version   : 0
      compatible_brands: mp41isom
      creation_time   : 2019-04-29T19:00:00.000000Z
    Duration: 00:00:04.67, start: 0.033333, bitrate: 32571 kb/s
      Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p, 2880x2160 [SAR 1:1 DAR 4:3], 33772 kb/s, 30 fps, 30 tbr, 30k tbn, 60 tbc (default)
      Metadata:
        creation_time   : 2019-12-08T21:30:20.000000Z
        handler_name    : VideoHandler
        encoder         : AVC Coding
  Stream mapping:
    Stream #0:0 -&gt; #0:0 (h264 (native) -&gt; png (native))
  Press [q] to stop, [?] for help
  Output #0, image2, to 'tmpSuperSloMo\input/%06d.png':
    Metadata:
      major_brand     : mp42
      minor_version   : 0
      compatible_brands: mp41isom
      encoder         : Lavf58.28.101
      Stream #0:0(und): Video: png, rgb24, 2880x2160 [SAR 1:1 DAR 4:3], q=2-31, 200 kb/s, 30 fps, 30 tbn, 30 tbc (default)
      Metadata:
        creation_time   : 2019-12-08T21:30:20.000000Z
        handler_name    : VideoHandler
        encoder         : Lavc58.53.101 png
  frame=  135 fps=1.6 q=-0.0 Lsize=N/A time=00:00:04.50 bitrate=N/A speed=0.0525x
  video:1337063kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
    0%|                                                       | 0/134 [00:04&lt;?, ?it/s]
  Traceback (most recent call last):
    File "video_to_slomo.py", line 217, in &lt;module&gt;
      main()
    File "video_to_slomo.py", line 166, in main
      flowOut = flowComp(torch.cat((I0, I1), dim=1))
    File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 541, in __call__
      result = self.forward(*input, **kwargs)
    File "D:\SlowMo\SuperSloMo\model.py", line 197, in forward
      x  = F.leaky_relu(self.conv1(x), negative_slope = 0.1)
    File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\functional.py", line 1063, in leaky_relu
      result = torch._C._nn.leaky_relu(input, negative_slope)
  RuntimeError: CUDA out of memory. Tried to allocate 754.00 MiB (GPU 0; 2.00 GiB total capacity; 1.21 GiB already allocated; 144.74 MiB free; 10.06 MiB cached)
  
  (base) D:\SlowMo\SuperSloMo&gt;
  </code></pre>