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Tensor Flow Model Server

Project description

Introduce

tfserver is an example for serving Tensorflow model with Skitai App Engine.

It can serve through gRPC and JSON RESTful API with Atila WSGI container.

This project is inspired by issue #176.

I’m so sorry about this soulless manual.

Installation

  • 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 https://gitlab.com/hansroh/skitai/-/blob/master/tests/level4-2/build_model.py

It is mostly used tensorflow keras and dnn.

Creating Your Own Tensorflow Server

Please see https://gitlab.com/hansroh/skitai/-/blob/master/tests/examples/tfserve.py

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

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 self.tfsess.run (tf.global_variables_initializer())
  • 0.1b1 (2018. 1. 28): Beta release
  • 0.1a (2018. 1. 4): Alpha release

Project details


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