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Home / v1.3.0
Name Modified Size InfoDownloads / Week
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README.md 2022-04-15 1.5 kB
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v1.3.0 source code.tar.gz 2022-04-15 77.0 MB
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v1.3.0 source code.zip 2022-04-15 79.7 MB
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Totals: 3 Items   156.7 MB 0

Added

  • Support on-device training for MLP, CNN(lenet, resnet50, mobilnetv1), transformer/bert(text to speech)
  • Support change model input and output names in X2bolt
  • Support more graph optimizations : Transpose+Convolution, Swish, Quantization, Power+Scale
  • Support dynamic output related operators : Shape, ConstantOfShape, GenerateProposals, NonZero, NonMaxSuppression, Reshape, etc
  • Support more operators : GridSample, CumSum, OneHot, Round, Floor, Ceil
  • Support more networks on CPU : yolov2, yolov3, yolov4, yolov5, faster-rcnn, mask-rcnn, retinanet, dfsmn, frill, conformer, unet, etc
  • Support Armv8 int8 to accelerate NLP network
  • Improve inference performance on avx2 CPU
  • Support netron to visualize bolt model
  • Support not to bind CPU core
  • Add C API MemoryCheck to check bolt memory leak

Changed

  • X2bolt add -I and -O options to change model input and output names.
  • X2bolt add -t option to convert model for on-device training.
  • C API CreateModel and AllocAllResultHandle return value is set to NULL when unsuccessful.
  • install.sh add --neon option to close arm neon acceleration on old platform.
  • some operator parameter defination

Fixed

  • Fix GPU depth2space and deconv bug
  • Fix GPU preprocess tool on armv8 platform bug
  • Fix x86 Sigmoid precision
  • Fix C API CloneResultHandle bug
  • Fix mobilnetv1 int8 inference
  • Fix Java API build bug on Windows
  • Fix ONNX converter deconv, pooling parameter bug

Removed

  • Equal operator is replaced with Check.
Source: README.md, updated 2022-04-15