RuntimeError: CUDA out of memory. How setting max_split_size_mb?

The max_split_size_mb configuration value can be set as an environment variable. The exact syntax is documented at https://pytorch.org/docs/stable/notes/cuda.html#memory-management, but in short: The behavior of caching allocator can be controlled via environment variable PYTORCH_CUDA_ALLOC_CONF. The format is PYTORCH_CUDA_ALLOC_CONF=<option>:<value>,<option2>:<value2>… Available options: max_split_size_mb prevents the allocator from splitting blocks larger than this size (in MB). This can help … Read more

Get total amount of free GPU memory and available using pytorch

PyTorch can provide you total, reserved and allocated info: t = torch.cuda.get_device_properties(0).total_memory r = torch.cuda.memory_reserved(0) a = torch.cuda.memory_allocated(0) f = r-a # free inside reserved Python bindings to NVIDIA can bring you the info for the whole GPU (0 in this case means first GPU device): from pynvml import * nvmlInit() h = nvmlDeviceGetHandleByIndex(0) info … Read more

How to insert an inline image in Google Colaboratory from Google Drive

If you have a link like this, then I’ve got a solution. https://drive.google.com/file/d/——-/view?usp=sharing In Google Drive, right-click on the picture Choose ‘Get a sharable link’ Click to ‘Copy link’. You need reader permissions. Just need the id of the image. In my case my link is: https://drive.google.com/file/d/1xDrydbSbijvK2JBftUz-5ovagN2B_RWH/view?usp=sharing Now we need to copy JUST the image … Read more

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