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… support GPTQ and BitNet models - Integrate OSS runner into LlamaDemo - Fix several tman_linear & tman_bitnet_linear accuracy issues - Fix BitNet - Add BitNet support - Fix tiling parameters - Optimize performance with DMA & Tiling - Merge SHAs; Support torch.split_with_sizes; Workaround fix for custom op registration bug of multiple graphs compilation - Integrate into LlamaDemo - Add supports for symmetric quantization - Clean debug code - Fix uint16 correctness issue under certain inputs - Support inference with fp16 and TMANOpPackage - Define custom_op, annotators and NodeVisitor in Python side - Add custom op package TMANOpPackage
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This is a miss-imported commit. The released model and libQnnTMANOpPackage.so should be built with this updates already.
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