Releases: tensorflow/serving
Releases · tensorflow/serving
1.12.0-rc0
TensorFlow Serving using TensorFlow 1.12.0-rc2
Major Features and Improvements
- Add new REST API to get model status from ModelServer (commit: 00e459f)
- Add new REST API to get model metadata from ModelServer (fixes #1115) (commit: 9768702)
- Support accepting gzipped REST API requests (fixes #1091) (commit: b94f6c8)
Breaking Changes
Bug Fixes and Other Changes
- Update MKL build (commit: e11bd51)
- Remove version pinning on pip packages (commit: 462072c)
- Update basic serving tutorials (commit: 33a4b05)
- Replacing legacy_init_op argument in SavedModelBuilder with main_op. (commit: 2fda31f)
- Add git hash for version metadata of model server and add tags for dev and nightly builds. (commit: 5c7740f)
- Add error messages for specific cases when json for REST requests (commit: a17c892)
- Python examples now run in a hermetic environment with all required dependencies (commit: 793fd90)
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
1.11.1
TensorFlow Serving using TensorFlow 1.11.0
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
1.11.0
TensorFlow Serving using TensorFlow 1.11.0
Major Features and Improvements
- Prometheus exporter for TF metrics (see 021efbd for details).
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
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
1.10.0-rc1
TensorFlow Serving using TensorFlow 1.10.0-rc1.