# tfx-bsl **Repository Path**: mirrors_tensorflow/tfx-bsl ## Basic Information - **Project Name**: tfx-bsl - **Description**: Common code for TFX - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-08-22 - **Last Updated**: 2026-02-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # TFX Basic Shared Libraries [![Python](https://img.shields.io/badge/python%7C3.9%7C3.10%7C3.11-blue)](https://github.com/tensorflow/tfx-bsl) [![PyPI](https://badge.fury.io/py/tfx-bsl.svg)](https://badge.fury.io/py/tfx-bsl) TFX Basic Shared Libraries (`tfx_bsl`) contains libraries shared by many [TensorFlow eXtended (TFX)](https://www.tensorflow.org/tfx) components. __Only symbols exported by sub-modules under `tfx_bsl/public` are intended for direct use by TFX users__, including by standalone TFX library (e.g. TFDV, TFMA, TFT) users, TFX pipeline authors and TFX component authors. Those APIs will become stable and follow semantic versioning once `tfx_bsl` goes beyond `1.0`. APIs under other directories should be considered internal to TFX (and therefore there is no backward or forward compatibility guarantee for them). Each minor version of a TFX library or TFX itself, if it needs to depend on `tfx_bsl`, will depend on a specific minor version of it (e.g. `tensorflow_data_validation` 0.14.\* will depend on, and only work with, `tfx_bsl` 0.14.\*) ## Installing from PyPI `tfx_bsl` is available as a [PyPI package](https://pypi.org/project/tfx-bsl/). ```bash pip install tfx-bsl ``` ### Nightly Packages TFX-BSL also hosts nightly packages at https://pypi-nightly.tensorflow.org on Google Cloud. To install the latest nightly package, please use the following command: ```bash pip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tfx-bsl ``` This will install the nightly packages for the major dependencies of TFX-BSL such as TensorFlow Metadata (TFMD). However it is a dependency of many TFX components and usually as a user you don't need to install it directly. ## Build from source ### 1. Prerequisites #### Install NumPy If NumPy is not installed on your system, install it now by following [these directions](https://www.scipy.org/scipylib/download.html). #### Install Bazel If Bazel is not installed on your system, install it now by following [these directions](https://bazel.build/versions/master/docs/install.html). #### Install cibuildwheel If you do not already have cibuildwheel installed on your system, you an install it using [these directions](https://cibuildwheel.pypa.io/en/stable/setup/#getting-started). ### 2. Clone the `tfx_bsl` repository ```shell git clone https://github.com/tensorflow/tfx-bsl cd tfx-bsl ``` Note that these instructions will install the latest master branch of `tfx_bsl` If you want to install a specific branch (such as a release branch), pass `-b ` to the `git clone` command. ### 3. Build the pip package `tfx_bsl` wheel is Python version dependent -- to build the pip package that works for a specific Python version, use that Python binary to run: ```shell cibuildwheel ``` You can find the generated `.whl` file in the `dist` subdirectory. ### 4. Install the pip package ```shell pip install dist/*.whl ``` ## Supported platforms `tfx_bsl` is tested on the following 64-bit operating systems: * macOS 10.12.6 (Sierra) or later. * Ubuntu 20.04 or later. ## Compatible versions The following table is the `tfx_bsl` package versions that are compatible with each other. This is determined by our testing framework, but other *untested* combinations may also work. tfx-bsl | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tensorflow-serving-api | ------------------------------------------------------------------------------- | -----------------| ---------|-------------------|---------------------|------------------------| [GitHub master](https://github.com/tensorflow/tfx-bsl/blob/master/RELEASE.md) | 2.64.0 | 10.0.1 | nightly (2.x) | 1.17.1 | 2.17.1 | [1.17.1](https://github.com/tensorflow/tfx-bsl/blob/v1.17.1/RELEASE.md) | 2.64.0 | 10.0.1 | 2.17 | 1.17.1 | 2.17.1 | [1.17.0](https://github.com/tensorflow/tfx-bsl/blob/v1.17.0/RELEASE.md) | 2.64.0 | 10.0.1 | 2.17 | 1.17.1 | 2.17.1 | [1.16.1](https://github.com/tensorflow/tfx-bsl/blob/v1.16.1/RELEASE.md) | 2.59.0 | 10.0.1 | 2.16 | 1.16.1 | 2.16.1 | [1.16.0](https://github.com/tensorflow/tfx-bsl/blob/v1.16.0/RELEASE.md) | 2.59.0 | 10.0.1 | 2.16 | 1.16.0 | 2.16.1 | [1.15.1](https://github.com/tensorflow/tfx-bsl/blob/v1.15.1/RELEASE.md) | 2.47.0 | 10.0.0 | 2.15 | 1.15.0 | 2.15.1 | [1.15.0](https://github.com/tensorflow/tfx-bsl/blob/v1.15.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.15 | 1.15.0 | 2.15.1 | [1.14.0](https://github.com/tensorflow/tfx-bsl/blob/v1.14.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.13 | 1.14.0 | 2.13.0 | [1.13.0](https://github.com/tensorflow/tfx-bsl/blob/v1.13.0/RELEASE.md) | 2.40.0 | 6.0.0 | 2.12 | 1.13.1 | 2.9.0 | [1.12.0](https://github.com/tensorflow/tfx-bsl/blob/v1.12.0/RELEASE.md) | 2.40.0 | 6.0.0 | 2.11 | 1.12.0 | 2.9.0 | [1.11.0](https://github.com/tensorflow/tfx-bsl/blob/v1.11.0/RELEASE.md) | 2.40.0 | 6.0.0 | 1.15 / 2.10 | 1.11.0 | 2.9.0 | [1.10.0](https://github.com/tensorflow/tfx-bsl/blob/v1.10.0/RELEASE.md) | 2.40.0 | 6.0.0 | 1.15 / 2.9 | 1.10.0 | 2.9.0 | [1.9.0](https://github.com/tensorflow/tfx-bsl/blob/v1.9.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15 / 2.9 | 1.9.0 | 2.9.0 | [1.8.0](https://github.com/tensorflow/tfx-bsl/blob/v1.8.0/RELEASE.md) | 2.38.0 | 5.0.0 | 1.15 / 2.8 | 1.8.0 | 2.8.0 | [1.7.0](https://github.com/tensorflow/tfx-bsl/blob/v1.7.0/RELEASE.md) | 2.36.0 | 5.0.0 | 1.15 / 2.8 | 1.7.0 | 2.8.0 | [1.6.0](https://github.com/tensorflow/tfx-bsl/blob/v1.6.0/RELEASE.md) | 2.35.0 | 5.0.0 | 1.15 / 2.7 | 1.6.0 | 2.7.0 | [1.5.0](https://github.com/tensorflow/tfx-bsl/blob/v1.4.0/RELEASE.md) | 2.34.0 | 5.0.0 | 1.15 / 2.7 | 1.5.0 | 2.7.0 | [1.4.0](https://github.com/tensorflow/tfx-bsl/blob/v1.4.0/RELEASE.md) | 2.31.0 | 5.0.0 | 1.15 / 2.6 | 1.4.0 | 2.6.0 | [1.3.0](https://github.com/tensorflow/tfx-bsl/blob/v1.3.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15 / 2.6 | 1.2.0 | 2.6.0 | [1.2.0](https://github.com/tensorflow/tfx-bsl/blob/v1.2.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15 / 2.5 | 1.2.0 | 2.5.1 | [1.1.0](https://github.com/tensorflow/tfx-bsl/blob/v1.1.0/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.1.0 | 2.5.1 | [1.0.0](https://github.com/tensorflow/tfx-bsl/blob/v1.0.0/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.0.0 | 2.5.1 | [0.30.0](https://github.com/tensorflow/tfx-bsl/blob/v0.30.0/RELEASE.md) | 2.28.0 | 2.0.0 | 1.15 / 2.4 | 0.30.0 | 2.4.0 | [0.29.0](https://github.com/tensorflow/tfx-bsl/blob/v0.29.0/RELEASE.md) | 2.28.0 | 2.0.0 | 1.15 / 2.4 | 0.29.0 | 2.4.0 | [0.28.0](https://github.com/tensorflow/tfx-bsl/blob/v0.28.0/RELEASE.md) | 2.28.0 | 2.0.0 | 1.15 / 2.4 | 0.28.0 | 2.4.0 | [0.27.1](https://github.com/tensorflow/tfx-bsl/blob/v0.27.1/RELEASE.md) | 2.27.0 | 2.0.0 | 1.15 / 2.4 | 0.27.0 | 2.4.0 | [0.27.0](https://github.com/tensorflow/tfx-bsl/blob/v0.27.0/RELEASE.md) | 2.27.0 | 2.0.0 | 1.15 / 2.4 | 0.27.0 | 2.4.0 | [0.26.1](https://github.com/tensorflow/tfx-bsl/blob/v0.26.1/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.27.0 | 2.3.0 | [0.26.0](https://github.com/tensorflow/tfx-bsl/blob/v0.26.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.27.0 | 2.3.0 |