{"id":3537,"library":"libtpu","title":"Google Cloud TPU Runtime Library","description":"The `libtpu` library is a low-level runtime component that provides the interface for Python-based machine learning frameworks (such as JAX and PyTorch/XLA) to communicate with Google Cloud TPUs. It is primarily a dependency managed by these high-level frameworks rather than a library intended for direct user application development. The current version is 0.0.39 and it requires Python >= 3.11. It has no strict release cadence, with updates typically coinciding with changes in underlying TPU infrastructure or integrations with ML frameworks.","status":"active","version":"0.0.39","language":"en","source_language":"en","source_url":"https://github.com/google/libtpu-tools","tags":["google-cloud","tpu","machine-learning","accelerator","jax","pytorch","xla"],"install":[{"cmd":"pip install libtpu","lang":"bash","label":"Install `libtpu` directly"},{"cmd":"pip install jax[tpu]","lang":"bash","label":"Recommended: Install via JAX for TPU support (includes libtpu)"}],"dependencies":[],"imports":[{"note":"While `libtpu` can be imported, it is a low-level runtime library. Direct import for accessing user-facing classes or functions is uncommon. Most users will rely on frameworks like JAX or PyTorch/XLA to manage and utilize `libtpu` internally.","symbol":"libtpu","correct":"import libtpu"}],"quickstart":{"code":"import os\n\n# This quickstart demonstrates checking for TPU devices using JAX,\n# which implicitly relies on `libtpu` being correctly installed and configured.\n# Direct usage of `libtpu`'s API for application logic is rare.\n\ntry:\n    import jax\n    # The following line will only succeed if libtpu is correctly installed\n    # and a TPU device is available and configured in the environment.\n    tpu_devices = jax.devices('tpu')\n    print(f\"Found {len(tpu_devices)} TPU devices: {tpu_devices}\")\n    if tpu_devices:\n        print(\"libtpu is likely working correctly with JAX on a TPU.\")\n    else:\n        print(\"No TPU devices found. libtpu may be installed, but no TPU is available or configured.\")\nexcept ImportError:\n    print(\"JAX is not installed. Please install JAX with TPU support: pip install jax[tpu]\")\nexcept Exception as e:\n    print(f\"An error occurred while checking for TPU devices: {e}\")\n    print(\"This could indicate an issue with libtpu installation or TPU environment configuration.\")\n","lang":"python","description":"This quickstart demonstrates how to verify the presence and configuration of TPU devices using JAX, which is the most common way users interact with the capabilities provided by `libtpu`. Running this code on a Google Cloud TPU instance with `jax[tpu]` installed will confirm `libtpu`'s operational status."},"warnings":[{"fix":"Focus on setting up your ML framework (e.g., JAX) correctly for TPU usage; avoid trying to directly manipulate `libtpu`'s internal APIs unless you have a highly specialized use case.","message":"`libtpu` is a low-level runtime library primarily used by ML frameworks (JAX, PyTorch/XLA) to interface with Google Cloud TPUs. It is not designed for direct import and high-level application development by end-users. Most users will interact with `libtpu` indirectly through these frameworks.","severity":"gotcha","affected_versions":"All"},{"fix":"Deploy your application to a Google Cloud TPU VM or environment to utilize `libtpu`'s functionality.","message":"This library requires a Google Cloud TPU environment to function. It cannot be used for local development without significant, specialized setup (e.g., a software emulator), which is not officially supported for general use.","severity":"gotcha","affected_versions":"All"},{"fix":"Always follow the official installation instructions for JAX or PyTorch/XLA on TPU, which typically bundle or specify compatible `libtpu` versions. Avoid arbitrary `pip install libtpu` if you are using a framework.","message":"Version compatibility between `libtpu`, JAX/PyTorch/XLA, and the underlying Google Cloud TPU software stack is crucial. Mismatched versions can lead to runtime errors, device not found errors, or unexpected behavior.","severity":"gotcha","affected_versions":"All"},{"fix":"Ensure your environment is running Python 3.11 or a later compatible version.","message":"The package currently requires Python 3.11 or higher. Using older Python versions will result in installation failures or runtime errors.","severity":"gotcha","affected_versions":"<=0.0.39"},{"fix":"Consult Google Cloud's official documentation for JAX/PyTorch on TPU to ensure all necessary environment configurations are in place. When troubleshooting, verify these variables if other solutions fail.","message":"For some environments or older setups, `libtpu` might rely on specific environment variables (e.g., `LD_LIBRARY_PATH`, `XRT_TPU_CONFIG`) being correctly set to locate its underlying C++ components. While modern framework installations often handle this, it can be a source of 'TPU not found' errors.","severity":"gotcha","affected_versions":"All"}],"env_vars":null,"last_verified":"2026-04-11T00:00:00.000Z","next_check":"2026-07-10T00:00:00.000Z"}