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TensorFlow-Blade

Blade is an optimization toolkit that support multiple tools (aka, TensorRT and DISC for open sourced version) as backend. It facilitates users in using TensorRT as backend transparently, and provides automatic selection between TensorRT and DISC provided with specific workloads. The automatic selection logics will be opensourced soon. TensorFlow-Blade is Blade for TensorFlow frontends.

build and use TensorFlow-Blade

NOTE: Currently only python3 is supported.

build and install TensorFlow-Blade

optimize BERT model with TensorFlow-Blade

design of tf2trt optimization(WIP)

Make contribution for TensorFlow-Blade

First ref to How to make contribution to setup the basic develop environment and fork code to your own branch. Then we will get to know the code for TensorFlow-Blade.

Code layout for TensorFlow-Blade

All the code for TensorFlow-Blade are under the tensorflor_blade dir.

tree -L 1
.
├── BUILD
├── build_defs.bzl
├── build_pip_package.sh
├── build.py
├── common_internal.py
├── dist
├── docs
├── examples
├── README.md
├── requirement-tf2.4-cu110.txt
├── setup.py
├── src
├── tests
├── tf_blade
├── venv
├── version.py
├── WORKSPACE
├── workspace0.bzl
├── workspace1.bzl
└── workspace2.bzl

All the files with name containing workspace and build are all used for bazel build. All the cpp source codes are under src dir. All the python source codes are under tf_blade dir. All the tests files are under tests dir.

CI pipeline for TensorFlow-Blade

When running CI actions for TensorFlow-Blade, all the configure/build/package stages as in build and install TensorFlow-Blade are executed. Also we will run the python linter check and run all the tests under tests dir.

  • run checks for python and cpp code
./build.py -s check

The checks will be done using python's flake8/black/mypy modules. Please make sure all the python functions or classes have type hints as we have done in current code.

As for cpp code, the check will be done by the pre-commit tool using clang-format.

  • run unit tests
./build.py -s test

All the unit tests under tests/ dir will be executed.