tensorflow/serving 1.13.0

on GitHub

TensorFlow Serving using TensorFlow 1.13.1

Major Features and Improvements

• Support for TensorRT 5.0 (GPU docker image built against CUDA 10 and TensorRT 5.0)
• Support for listening gRPC over UNIX socket (commit: a25b0da)
• New GPU version of TensorFlow Serving API PIP package. This depends on the tensorflow-gpu instead of tensorflow PIP package, but is otherwise identical. (commit: 525c1af)
• TF Serving end-to-end colab! Training with Keras, serving with TF Serving and REST API (commit: 1ff8aad)

Breaking Changes

• No breaking changes.

Bug Fixes and Other Changes

• Make error message for input size mismatch in Predict call even more actionable. (commit: 7237fb5)
• Document how to use the version policy to pin a specific version, or serve multiple versions, of a model. (commit: 2724bfe)
• Document config reloading and model version labels. (commit: f4890af)
• Fix the compile error on ARM-32 in net_http/server. (commit: 5446fd9)
• Adds ModelSpec to SessionRunResponse. (commit: 58a2263)
• Add MKL support (commit: 8f79253)
• Fix default path of Prometheus metrics endpoint (commit: 9d05b0c)
• Add monitoring metrics for saved model (export_dir) warm up latency. (commit: de0935b)
• Add more details/clarification to model version labels documentation. (commit: f9e6ac4)
• Split --tensorflow_session_parallelism flag into two new flags: --tensorflow_intra_op_parallelism and --tensorflow_inter_op_parallelism (commit: 71092e4)
• Update CPU Docker images to Ubuntu 18.04 (commit: 8023fba)
• Upgrade to Bazel 0.20.0 (commit: fc0b75f)
• Update Python 2 scripts to be compatible with both Python 2 and 3 (commit: 846d443)

Thanks to our Contributors

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

Daniel Shi, Karthik Vadla, lapolonio, robert, Shintaro Murakami, Siju, Tom Forbes, Ville TöRhöNen