Neargye/hello_tf_c_api
Example code demonstrating how to use TensorFlow's C API to load, build, and run neural network graphs on Windows, Linux, and macOS.
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This repository contains example code for working with TensorFlow’s C API, including how to load frozen graphs, create and allocate tensors, run sessions, and perform inference. It serves as a practical guide for developers wanting to use TensorFlow in C or C++ applications without the Python bindings. The examples cover essential operations like graph loading, tensor manipulation, and session execution.
Frequently asked
- What is Neargye/hello_tf_c_api?
- Example code demonstrating how to use TensorFlow's C API to load, build, and run neural network graphs on Windows, Linux, and macOS.
- Is hello_tf_c_api open source?
- Yes — Neargye/hello_tf_c_api is open source, released under the MIT license.
- What language is hello_tf_c_api written in?
- Neargye/hello_tf_c_api is primarily written in C++.
- How popular is hello_tf_c_api?
- Neargye/hello_tf_c_api has 471 stars on GitHub.
- Where can I find hello_tf_c_api?
- Neargye/hello_tf_c_api is on GitHub at https://github.com/Neargye/hello_tf_c_api.