{"library":"torch-tb-profiler","type":"library","category":null,"description":"torch-tb-profiler is a TensorBoard plugin that provides rich visualizations and analysis tools for profiling PyTorch models. It parses, processes, and visualizes profiling results dumped by `torch.profiler`, helping users identify performance bottlenecks and receive optimization recommendations. The current version is 0.4.3, with releases often tied to PyTorch updates or major bug fixes.","language":"python","status":"active","version":"0.4.3","tags":["pytorch","tensorboard","profiling","performance","deep-learning","gpu"],"last_verified":"Sat May 23","install":[{"cmd":"pip install torch-tb-profiler","imports":["from torch.profiler import tensorboard_trace_handler"]}],"homepage":null,"github":"https://github.com/pytorch/kineto","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torch-tb-profiler/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":11.3,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torch-tb-profiler/compatibility"}}