{"library":"torch-xla","type":"library","category":null,"description":"PyTorch/XLA is a Python package that bridges PyTorch with XLA devices (TPU, GPU, CPU) to enable high-performance machine learning. The current stable version is 2.9.0, with releases aligned to PyTorch minor versions. It supports Python 3.10-3.13 and provides both PJRT and XRT runtimes (PJRT recommended).","language":"python","status":"active","version":"2.9.0","tags":["pytorch","xla","tpu","google","machine-learning","deep-learning"],"last_verified":"Mon Apr 27","install":[{"cmd":"pip install torch torch_xla[tpu] -f https://storage.googleapis.com/libtpu-releases/index.html","imports":["import torch_xla","import torch_xla.core.xla_model as xm"]}],"homepage":null,"github":"https://github.com/pytorch/xla","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torch-xla/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}