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.