Skip to content
This repository has been archived by the owner on Jul 28, 2020. It is now read-only.

Latest commit

 

History

History
126 lines (86 loc) · 5.89 KB

RELEASE.md

File metadata and controls

126 lines (86 loc) · 5.89 KB
Raw

Release 1.12.0

Major Features and Improvements

  • Add new REST API to get model status from ModelServer (commit: 00e459f1604c40c073cbb9cb92d72cb6a88be9cd)
  • Add new REST API to get model metadata from ModelServer (fixes #1115) (commit: 97687024c3b7515d2f2979c35054f44c8f84d146)
  • Support accepting gzipped REST API requests (fixes #1091) (commit: b94f6c89335782a7f175e8973c4f326375c55120)

Breaking Changes

None

Bug Fixes and Other Changes

  • Update MKL build (commit: e11bd51540212242911dae00c8507e2852a5ad5a)
  • Remove version pinning on pip packages (commit: 462072c2d78124c2769f820f7b63ee086de4e305)
  • Update basic serving tutorials (commit: 33a4b052cedc39c21107bc99a090b59ca64ec568)
  • Replacing legacy_init_op argument in SavedModelBuilder with main_op. (commit: 2fda31f905eefd2d108e9c84b8d7d55e4e482833)
  • Add git hash for version metadata of model server and add tags for dev and nightly builds. (commit: 5c7740fc3d8d5c017643a8cc40a7202717b10dd6)
  • Add error messages for specific cases when json for REST requests (commit: a17c89202e68bf19f369b9cbc97db7ced283b874)
  • Python examples now run in a hermetic environment with all required dependencies (commit: 793fd90ee41ac34fa4c9261eef2d2c908dca9735)

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Charles Verge, demfier, Kamidi Preetham, Lihang Li, naurril, vfdev, Yu Zheng

Release 1.11.1

Bug Fixes and Other Changes

  • Fix version of model server binary (Fixes #1134)
  • Range check floating point numbers correctly (Fixes #1136).
  • Fix docker run script for same user and group name (Fixes #1137).
  • Fix GPU build (Fixes #1150)

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

vfdev

Release 1.11.0

Major Features and Improvements

Breaking Changes

  • No breaking changes

Bug Fixes and Other Changes

  • Built against TensorFlow 1.11.0
  • Accept integers for float/doubles in JSON REST API requests
  • TF Serving API is now pre-built into Docker development images
  • GPU Docker images are now built against cuDNN 7.2
  • Add --max_num_load_retries flag to ModelServer (fixes #1099)
  • Add user-configured model version labels to the stand-alone ModelServer binary.
  • 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.

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Feisan, joshua.horowitz, Prashanth Reddy Basani, tianyapiaozi, Vamsi Sripathi, Yu Zheng

Release 1.11.0-rc0

Major Features and Improvements

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.

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.
  • 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.

Release 0.4.0

Initial release of TensorFlow Serving.