In 7 hours processed only 1 hour of speech. My computer also has 32 GB ram and CPU synthesis working very well but just too slow. Therefore, my GTX 1050 was literally using 0 MB of memory already Tested on my laptop so it has another GPU as well. I disabled and enabled the graphic card before running the code - thus the VGA ram was 100% empty. The hotkey can be customized, or you can use a keyboard. If you are online, with one extra click you can also search web references, for example Wikipedia. WordWeb Pro can look up words in virtually any program with just one click: just hold down the Ctrl key and right-click on the word. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF Languages: EnglishFile Size: 180.52 MB 835.21 MB. Tried to allocate 70.00 MiB (GPU 0 4.00 GiB total capacity 2.87 GiB already allocated 0 bytes free 2.88 GiB reserved in total by PyTorch) If reserved memory is > allocated memory try setting max_split_size_mb to avoid fragmentation. I have installed CUDA-enabled Pytorch on Windows 10 computer however when I try speech-to-text decoding with CUDA enabled it fails due to ram error
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