github tensorflow/serving 2.20.0

7 hours ago

Major Features and Improvements

  • No major features or improvements.

Breaking Changes

  • No breaking changes.

Bug Fixes and Other Changes

  • Init python_wheel_version_suffix_repository in tensorflow-serving after
    tensorflow/tensorflow@805775f.
    (commit: 21c6421)
  • Use tf_workspace* alias when initializing TensorFlow's external dependencies. (commit: ebb194c)
  • Replace deprecated TF status and mutex types with absl replacement types. (commit: bec6e1c)
  • Update release notes for 2.18.1 (commit: 564d335)
  • Fix a bug in ServerRequestLogger::Update() (commit: d83a861)
  • Fix a absl log MACRO redefinition bug. (commit: bfd832d)
  • Provide Separate Validate()/Apply() calls for Logger Update (commit: 8c8a286)
  • Add 2 new resource kinds constants for RAM (commit: dff9dd8)
  • Clarifying in the API that some request options are only supported for disagg serving. (commit: a1d3566)
  • Align Protobuf version with Tensorflow (commit: a692125)
  • PredictRequest API update to enable cancellation control messages (commit: 8c846b7)
  • Update release notes for 2.19.0-rc0 (commit: 305a2f7)
  • Update release notes for 2.19.0 (commit: cb03205)
  • Introduce kSteadyHeapRamBytes and kSharedHeapRamBytes to resource kinds. (commit: e4b44e8)
  • Allow model server to reload a config if it doesn't change from the previous loading attempt. (commit: a54796b)
  • Do not return SignatureDef.defaults from GetModelMetadata (commit: 5083127)
  • Add disable_host_compilation option to allow disabling host compilation after load. (commit: f105002)
  • Use a copy of ModelWarmupOptions for model warmup. (commit: fabf1fd)
  • Remove sm_50 from cuda_clang build configs to match TF (commit: 40c49d7)
  • Log the old and new configs to ERROR when we fail to accept the transition. (commit: b9b5f52)
  • Porting the grappler batch prioritization rewriter to TFRT. (commit: 429ddb2)
  • Porting the grappler batch prioritization rewriter to TFRT. (commit: ca86c54)
  • Bump bazel version from 6.5.0 to 7.4.1 to align with TF.
    (commit: 7491ad5)
  • Increase Bazel version requirement to 7.4.1 in root.workspace (commit: b16e36f)
  • Flip back incompatible_enable_cc_toolchain_resolution to bypass cpp toolchain resolution error. (commit: 96718f3)
  • Porting the grappler batch prioritization rewriter to TFRT. (commit: dc7f1bb)
  • Extract the untracked part of RunSavedModelWarmup to a separate function (commit: a419266)
  • Enable use of absl nullability annotations now that the absl version used provides them. (commit: 482cdcd)
  • Update release notes for 2.19.1 (commit: 89dfd99)
  • Add a command line flag remote_predict_op_use_tensor_content to reduce request size (commit: 1d1a029)
  • changing Orbax Model version file uniquely identifiable (commit: a01a31a)
  • Plumb priority into RunHandlerPool (commit: 4184bff)
  • Fix a check failure in ServerCore. (commit: 223ac59)
  • Add max_cache_length to PredictRequest.RequestOptions. (commit: 6db34f8)
  • Add max_cache_length to PredictRequest.RequestOptions. (commit: 6d2fd08)
  • Add max_cache_length to PredictRequest.RequestOptions. (commit: 1c88766)
  • Use std::numeric_limits for max int32 value. (commit: a33d9da)
  • Removal of tsl-specific integral types. (commit: d1f407f)
  • Add a new sampling mode to infra logging. (commit: b05d65f)
  • TF Serving Dockerfiles upgraded for a hermetic build. MKL stays non-hermetic at this time because of strict linker checks in llvm_openmp. (commit: ecb468f)
  • Fixed Serving server startup in docker environment (commit: 275ec5c)
  • Optimized disk space usage in Dockerfile.devel-gpu (commit: 824ad7a)
  • Add option to allow resplitting for priority aware scheduler. (commit: 9baa5a2)
  • add mutable version which can save a copy (commit: a5f6f0b)
  • Update version for 2.20.0 release. (#4135) (commit: bc7e9d2)

Don't miss a new serving release

NewReleases is sending notifications on new releases.