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@ML-TANGO ML-TANGO released this 21 Nov 06:51
· 29 commits to main since this release
tango-24.11
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Learn about vigilant mode.

TANGO 2024 11 Release

This release includes several enhancements and updates on following functions:

  • Project Manager: project_manager container,
  • Unified AutoNN: autonn container,
  • Code Generation: code_gen container,
  • Target Deployment: ondevice_deploy / cloud_deploy container

Project Manager

Project Manager includes following new functions:

  • Pipeline Iteration for CI/CD Support
  • Presets on target and datasets commonly used
  • Visualization of Unified AutoNN progress and statistics

Unified AutoNN

In this release, containers related to BMS, Yolo, Resnet, Visualization, NAS and HPO are unified into an Unified AutoNN (auonn) container for speedup with providing following features:

  • BMS function : rule-based model selection among Resnet, Resnet-Cifar, YOLOv7, and YOLOv9.
  • Resume training withd adjusted batch size when CUDA out of memory
  • LLM Inference(TangoChat)
  • LLM RAG(Retrieval-Augmented Generation) prototype
  • Model exporter: Torchscript, ONNX, ONNX end-to-end
  • Training progress and statistics visualization
  • Neural net model visualization
  • Support for continual learning (tested with partitioned COCO dataset)
  • Retraining Pipeline
    • NAS: SuperNet training-NAS(SubNet training)-retraining pipeline
    • HPO: NAS-HPO-retraining pipeline
  • Model Visulaization
    • Clarification of node connection points and edges
    • Support YOLOV9 model
      • YOLOV9 block node pop-up function
      • backbone, neck, head layout of YOLOV9

Code Generation

  • Run-time Code Generation for YoloV9

    • For detection applications, the functions of generating run-time codes for YoloV9 are added.

  • Web-based Application Code Generation

    • For Cloud services such as GCP(Google Cloud Platform) and AWS(Amazon Web Services), web-based code generation functions are added.

  • Raspberry Pi5 + Google Coral M.2 PCIe TPU support

    • For ondevice-applications, the code generation function for Raspberry Pi5 + Google Coral M.2 PCIe TPU + Tensorflow Iite is added.

Targe Deployment

In this release supported targets for deployment are added, refer to here for details.

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