TensorFlow Model Optimization Toolkit
The TensorFlow Model Optimization Toolkit is a suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
For an overview of this project and individual tools, the optimization gains, and our roadmap refer to tensorflow.org/model_optimization. The website also provides various tutorials and API docs.
The toolkit provides stable Python APIs.
To install the latest version, run the following:
# Installing with the `--upgrade` flag ensures you'll get the latest version. pip install --user --upgrade tensorflow-model-optimization
For release details, see our release notes.
TensorFlow Model Optimization currently depends on the nightly build of
TensorFlow (pip package
only supports Tensorflow 1.XX.
Since TensorFlow is not included as a dependency of the TensorFlow Model
Optimization package (in
setup.py), you must explicitly install the TensorFlow
tf-nightly-gpu). This allows us to maintain one
package instead of separate packages for CPU and GPU-enabled TensorFlow.
Installing from Source
You can also install from source. This requires the Bazel build system.
# To install dependencies on Ubuntu: # sudo apt-get install bazel git python-pip # For other platforms, see Bazel docs above. git clone https://github.com/tensorflow/model-optimization.git cd tensorflow_model_optimization bazel build --copt=-O3 --copt=-march=native :pip_pkg PKGDIR=$(mktemp -d) ./bazel-bin/pip_pkg $PKGDIR pip install --user --upgrade $PKGDIR/*.whl
As part of TensorFlow, we're committed to fostering an open and welcoming environment.