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Tensor Flow Model Server

Project description


tfserver is an example for serving gRPC for Tensorflow/Pytorch thing’s models.

It can serve not only through gRPC but also RESTful API with Skitai App Engine and Atila WSGI container.

This project is inspired by issue #176.

I’m so sorry about this soulless manual.


  • from version 0.3, it is now TensorFlow 2+ compatible (deprecated, no longer support)

  • from version 0.4, TensorFlow 2+ only

Building Model and Deploy

Please see

It is mostly used tensorflow keras and dnn.

Creating Your Own gRPC Server

Please see

You can know how to serve gRPC service and make yoyr own APIs.


Please see

APIs to manage models and basic inference.

And for usage see,

Release History

  • 0.4 (2021. 4)

    • upgrade for tensorflow 2

  • 0.3 (2020. 6. 28)

    • add model management APIs

    • reactivate project and compatible with TF2+

  • 0.2 (2020. 6. 26): integrated with dnn 0.3

  • 0.1b8 (2018. 4. 13): fix grpc trailers, skitai upgrade is required

  • 0.1b6 (2018. 3. 19): found works only grpcio 1.4.0

  • 0.1b3 (2018. 2. 4): add @app.umounted decorator for clearing resource

  • 0.1b2: remove (tf.global_variables_initializer())

  • 0.1b1 (2018. 1. 28): Beta release

  • 0.1a (2018. 1. 4): Alpha release

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