Quantize Weight for Gemm/Conv on Quantized Model #22969
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skottmckay
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onnxruntime/core/optimizer/qdq_transformer/weight_bias_quantization.h
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onnxruntime/core/optimizer/qdq_transformer/weight_bias_quantization.cc
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snnn
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Jan 8, 2025
Some quantized models have QDQ around Conv/Gemm but the weight and/or bias are not quantized. This PR adds WeightBiasQuantization optimizer to quantize float weight and/or bias to INT8 and INT32 tensors respectively. We only do this for weight and/or bias initializer so that ConstantFolding will fold the sub-graph to real quantized initializers during the graph optimization next round.
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Some quantized models have QDQ around Conv/Gemm but the weight and/or bias are not quantized. This PR adds WeightBiasQuantization optimizer to quantize float weight and/or bias to INT8 and INT32 tensors respectively. We only do this for weight and/or bias initializer so that ConstantFolding will fold the sub-graph to real quantized initializers during the graph optimization next round.