lingvo

Installation

There are two ways to set up Lingvo: installing a fixed version through pip, or cloning the repository and building it with bazel. Docker configurations are provided for each case.

If you would just like to use the framework as-is, it is easiest to just install it through pip. This makes it possible to develop and train custom models using a frozen version of the Lingvo framework. However, it is difficult to modify the framework code or implement new custom ops.

If you would like to develop the framework further and potentially contribute pull requests, you should avoid using pip and clone the repository instead.

pip:

The Lingvo pip package can be installed with pip3 install lingvo.

See the codelab for how to get started with the pip package.

From sources:

The prerequisites are:

• a TensorFlow 2.7 installation,
• a C++ compiler (only g++ 7.3 is officially supported), and
• the bazel build system.

Refer to docker/dev.Dockerfile for a set of working requirements.

git clone the repository, then use bazel to build and run targets directly. The python -m module commands in the codelab need to be mapped onto bazel run commands.

docker:

Docker configurations are available for both situations. Instructions can be found in the comments on the top of each file.

• lib.dockerfile has the Lingvo pip package preinstalled.
• dev.Dockerfile can be used to build Lingvo from sources.

How to install docker.

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License

Apache License 2.0