github tensorflow/serving 0.4.1
Docker, Inception, and various small fixes & improvements.

latest releases: 2.18.0, 2.17.1, 2.18.0-rc0...
8 years ago

This release adds Docker support, and an end-to-end Inception tutorial. It also makes various minor fixes and clean-ups to code and documentation.

New features:

  • Dockerfile and README for building a container with a TensorFlow Serving development environment.
  • End-to-end example and tutorial for serving an InceptionV3 model in Kubernetes.
  • Jenkins continuous integration.
  • DynamicManager re-tries failed servable load attempts.
  • Utility to wait until a manager has loaded certain servables.
  • Utility for tracking the states of servables in a manager, by listening for servable state changes on an event bus.
  • Modules for managing servable resources (but not yet integrated into DynamicManager).
  • Add GetNamedSignature() to signatures, independent from any signature type.
  • Misc. additions to util/.

Compatibility:

  • Exporter supports both python 2.7 and python 3.4.
  • Migrate to gRPC 0.13.
  • Migrate to latest TensorFlow and TF-Models submodules.

Bug fixes:

  • Allow importing graphs with no variable nodes.
  • Misc small documentation bug-fixes.

Clean-ups:

  • Depend on gRPC via a Bazel git repository, rather than via a git submodule.
  • Eliminate the batching sub-namespace.
  • Misc small code clean-ups.
  • Misc minor documentation clean-ups.

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