[Documentation] Misleading quantization information about dynamic quantization and QDQ about onnxruntime HOT 3 CLOSED

Static quantization supports both QDQ and QOperator. Dynamic quantization only supports QOperator.

from onnxruntime.

yes @yufenglee , I typed it wrongly but rectified it,

under Tensor-Oriented,
below line is mentioned which is misleading.

Models generated in the following ways are in the QDQ format:

• Models quantized by quantize_static or quantize_dynamic API, explained below, with quant_format=QuantFormat.QDQ.
• Quantization-Aware training (QAT) models converted from Tensorflow or exported from PyTorch.
• Quantized models converted from TFLite and other frameworks.

from onnxruntime.

Thank you!

from onnxruntime.