:py:mod:`neural_compressor.adaptor.tf_utils.graph_rewriter.qdq.insert_qdq_pattern`
==================================================================================

.. py:module:: neural_compressor.adaptor.tf_utils.graph_rewriter.qdq.insert_qdq_pattern

.. autoapi-nested-parse::

   Insert QDQ pattern Graph Rewriter.



Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   neural_compressor.adaptor.tf_utils.graph_rewriter.qdq.insert_qdq_pattern.GenerateGraphWithQDQPattern




.. py:class:: GenerateGraphWithQDQPattern(model, calibration_data, op_wise_config, fake_quant, fp32_ops, bf16_ops, quantized_nodes, device, performance_only, itex_mode, llm_weight_minmax)




   Insert Q/DQ pairs before quantizable ops.