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.