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The AI Toolchain — issue -441, February 28, 2019

THE AI TOOLCHAIN NO. -441
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THE DAILY RELEASE FIREHOSE
PUBLISHED FEBRUARY 28, 2019 · EVERY WEEKDAY
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The daily firehose — everything the toolchain shipped today, already filtered.

// HOW THIS ISSUE IS MADE

We read every release from the 174 tools on our watchlist at the source — GitHub and GitLab release notes, vendor release pages and changelogs, project blogs and feeds, vendor press releases, and the source code behind the tag. Bug-fix-only releases and non-product newsroom noise are dropped; what's left is summarized down to the new capability, how to try it, and any screenshots or videos the release itself published. Every entry links to the sources it was built from.

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$ tct list   # 2 tools matched
AI & LLM Tooling
◆  AI Model & Data Infrastructure

Microsoft ONNX Runtime

Sources Release notes → v0.2.1 NOTES

ONNX Runtime v0.2.1 adds Linux C# packages, GPU support on Linux/Windows, and promotes the C API to Beta.

└──▷ GET THIS VERSION
$ git clone --branch v0.2.1 https://github.com/microsoft/onnxruntime.git
# already have the repo? check out this version:
$ git checkout v0.2.1
  • C# packages now available for Linux, with GPU support for both Windows and Linux.
  • C API promoted from experimental to Beta status, signaling expected stability for production use.
  • Adds MKL-DNN acceleration support for Relu, Sum, and BatchNormalization operators.
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NVIDIA Triton Inference Server

Sources Release notes → v0.11.0 NOTES

Triton v0.11.0 adds variable-size tensor support, string datatype tensors, and CPU-only (non-GPU) deployment.

└──▷ GET THIS VERSION
$ git clone --branch v0.11.0 https://github.com/triton-inference-server/server.git
# already have the repo? check out this version:
$ git checkout v0.11.0
  • Supports variable-size input and output tensors in model configuration by setting a dimension size of -1 for any dimension that can take on any size.
  • Adds string datatype support for input and output tensors in TensorFlow models and custom backends.
  • Enables inference server operation on systems without GPUs, nvidia-docker, or CUDA installed.
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