The installation guide provides two options: using precompiled binaries or building from source, with detailed steps for both. Txeo requires Linux, CMake v3.25+, and a C++20-compatible compiler. Basic usage examples demonstrate tensor operations and running inference with a saved model. Txeo is open-source under the Apache License 2.0, with dependencies on TensorFlow and Protobuf. The roadmap includes plans for training capabilities, advanced tensor operations, and model saving/loading enhancements. For inquiries, users can engage through GitHub discussions, issue reporting, or email.
Key takeaways:
- Txeo is a modern C++ wrapper for TensorFlow, designed to simplify TensorFlow C++ development while maintaining high performance and flexibility.
- Txeo achieves near-native performance, with a negligible overhead ranging from 0.65% to 1.21% compared to the native TensorFlow C++ API.
- The installation guide provides two options: using precompiled binaries for a faster setup or building Protobuf and TensorFlow from source for more control.
- Txeo is actively evolving, with upcoming features including model training capabilities, advanced tensor operations, and model saving/loading enhancements.