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TPU-MLIR v1.10 Release
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@github-actions github-actions released this 15 Aug 05:02
· 331 commits to master since this release
v1.10
d9ce48d

Release Note

Enhancements:

  • Added CUDA support for various operations like conv2d, MatMul, dwconv, pool2d, and more.
  • Improved performance for operations like MeanStdScale and softmax.
  • Enhanced multi-core batch mm and added support for bm168x with CUDA.
  • Refined CUDA code style and adjusted interfaces for various operations.

Bug Fixes:

  • Fixed issues with matmul, calibration failures, conv pad problems, and various performance problems.
  • Addressed bugs in model transformations, calibration, and various pattern issues.
  • Resolved bugs in different model backends like ssd, vit, detr, and yolov5.

New Features:

  • Added support for new models like resnet50, mobilenet_v2, shufflenet_v2, and yolox_s/alphapose_res50.
  • Introduced new operations like RequantIntAxisOp and Depth2Space with CUDA support.
  • Implemented new functionalities for better model inference and compilation.

Documentation Updates:

  • Updated weight.md, calibration sections, and user interface details.
  • Improved documentation for quick start, developer manual, and various tpulang interfaces.
  • Enhanced documentation for model transformation parameters and tensor data arrangements.

Miscellaneous:

  • Added new npz tools, modelzoo regression, and support for bmodel encryption.
  • Fixed issues with various model performance, shape inference, and CUDA backend optimizations.
  • Revived performance for models like yolov5s-6, bm1690 swin multicore, and more.
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