Shortcuts

torch.cuda.memory_allocated

torch.cuda.memory_allocated(device=None)[source]

Returns the current GPU memory occupied by tensors in bytes for a given device.

Parameters

device (torch.device or int, optional) – selected device. Returns statistic for the current device, given by current_device(), if device is None (default).

Note

This is likely less than the amount shown in nvidia-smi since some unused memory can be held by the caching allocator and some context needs to be created on GPU. See Memory management for more details about GPU memory management.

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources