1.11.0-rc1

TensorFlow Serving using TensorFlow 1.11.0-rc1

1.11.0-rc0

Release 1.11.0-rc0

Major Features and Improvements

• Prometheus exporter for TF metrics (see 021efbd for details).
• Added new REST API to get status of model(s) from ModelServer.

Breaking Changes

• No breaking changes

Bug Fixes and Other Changes

• Built against TensorFlow 1.11.0-rc0.
• Directly import tensor.proto.h (the transitive import will be removed from tensor.h soon)
• Building optimized TensorFlow Serving binaries is now easier (see docs for details)
• Adds columnar format support for input/output tensors in Predict REST API (fixes #1047)
• Development Dockerfiles now produce a more optimized ModelServer
• Fixed TensorFlow Serving API PyPi package overwriting TensorFlow package.

TensorFlow Serving 1.10.1

Release 1.10.1

Bug Fixes and Other Changes

• Fixed TensorFlow Serving API PyPi package overwriting TensorFlow package.
• Update Docker configs to fix tensorflow/tensorflow#21518

TensorFlow Serving 1.10.0

Release 1.10.0

Major Features and Improvements

• No major features or improvements.

Breaking Changes

• TensorFlow Serving API now uses gRPC's GA release. The beta gRPC API has been deprecated, and will be removed in a future version of TensorFlow Serving. Please update your gRPC client code (sample)
• Docker images for GPU are built against NCCL 2.2, in following with TensorFlow 1.10.

Bug Fixes and Other Changes

• Built against TensorFlow 1.10.0
• Added GPU serving Docker image.
• Repo cloning and shell prompt in example readme.
• Updated Docker instructions.
• Updated min Bazel version (0.15.0).
• Convert TF_CHECK_OKs to TF_ASSERT_OK in some unit tests.
• Remove error suppression (.IgnoreError()) from BasicManager.
• Add new bazel_in_docker.sh tool for doing hermetic bazel builds.
• Fix erroneous formatting of numbers in REST API output that are larger than 6 digits.
• Add support for Python 3 while also compatible with Python 2.7 in mnist_saved_model.py.
• Fix an incorrect link to Dockerfile.devel-gpu.
• Add util for get model status.
• Adding support for secure channel to ModelServer.
• Add version output to model server binary.
• Change ServerRequestLogger::Update to only create new and delete old loggers if needed.
• Have the Model Server interpret specific hard-coded model version labels "stable" and "canary" as the smallest and largest version#, respectively.
• Add half_plus_two CPU and GPU models to test data.

1.9.1

TensorFlow Serving using TensorFlow 1.9.0

• Fix broken PIP packages (#999)
• Fix REST API output (#989)
• Updated Docker GPU configs (#1005)

1.10.0-rc1

TensorFlow Serving using TensorFlow 1.10.0-rc1.

1.9.0

TensorFlow Serving using TensorFlow 1.9.0

1.8.0

TensorFlow Serving using TensorFlow 1.8.0.

This release now supports a RESTful API. You can now easily make classification, regression, and prediction requests to your TensorFlow models using JSON objects.

1.9.0-rc2

TensorFlow Serving using TensorFlow 1.9.0-rc2

1.7.1

TensorFlow Serving using TensorFlow 1.7.1.

Same serving sources as 1.7.0 release, but re-releasing binary packages to account new compiler flags introduced in 503cc0c (helps control memory blowup in ModelServer) and rebasing to TensorFlow 1.7.1 release.