semvec/pypi-packages huggingface dataset:
dnn 0.7.5
Machine Learning Utilities
License: MIT


History
============

- 0.6 (2020.6.29)

  - add dnn.setup_gpus (memory_limit = 'growth', gpu_devices = [])
  - add dnn.layers for proxying tf.keras.layers
  - add dnn.callbacks for tf.keras
  - minor fixes for tfserver_
  - update for tensorflow 2.x

- 0.4 (2020.6.24)

  - integrate tfserver into dnn.tfserver
  - data processing utils were moved to rs4.mldp

- 0.3:

  - remove trainale ()
  - add set_learning_rate ()
  - add argument to set_train_dir () for saving chcekpoit
  - make compatible with tf 1.12.0

- 0.2

  - add tensorflow lite conversion and interpreting

- 0.1: project initialized


.. _rs4: https://pypi.org/project/rs4/
.. _tfserver: https://pypi.org/project/tfserver/
tfserver 0.4.11
Tensor Flow Model Server
License: MIT

==========================================
Tensorflow gRPC and RESTful API Server
==========================================

Introduce
==============

**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.


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 gRPC 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.


APIs
================

Please see https://gitlab.com/hansroh/tfserver/-/blob/master/tfserver/export/skitai/\_\_export\_\_.py

APIs to manage models and basic inference.

And for usage see, https://gitlab.com/hansroh/skitai/-/blob/master/tests/level4-2/test_tfserver.py


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


.. _`issue #176` : https://github.com/tensorflow/serving/issues/176
.. _`Skitai App Engine`: https://pypi.python.org/pypi/skitai
.. _Atila: https://pypi.python.org/pypi/atila
.. _dnn: https://pypi.python.org/pypi/dnn