tensorflow/serving 1.11.0

on GitHub

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