tfrecord

[ API doc | crates.io ]

The crate provides readers/writers for TensorFlow TFRecord data format. It has the following features.

• Provide both high level Example type as well as low level Vec<u8> bytes de/serialization.
• Support async/await syntax. It's easy to work with futures-rs.
• Interoperability with serde, image, ndarray and tch.
• Support TensorBoard! (exampe code)

License

MIT license. See LICENSE file for full license.