{"library":"torch-memory-saver","type":"library","category":null,"description":"Torch Memory Saver is a PyTorch library designed to optimize GPU memory usage by allowing `torch` tensor memory to be temporarily released and resumed later. It enables developers to manage memory more efficiently, especially for large models or when performing operations that might exceed available VRAM. The library is actively developed, with its latest stable release, version 0.0.9, released in October 2025.","language":"python","status":"active","version":"0.0.9","tags":["pytorch","memory-management","gpu","cuda","optimization","deep-learning"],"last_verified":"Sat May 23","install":[{"cmd":"pip install torch-memory-saver","imports":["import torch_memory_saver","from torch_memory_saver import region","torch_memory_saver.pause()","torch_memory_saver.resume()"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/torch-memory-saver/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.8,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torch-memory-saver/compatibility"}}