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Utils shared by different modes of quantization (eager/graph)

This file is in the process of migration to `torch/ao/quantization`, and
is kept here for compatibility while the migration process is ongoing.
If you are adding a new entry/functionality, please, add it to the
`torch/ao/quantization/utils.py`, while adding an import statement
here.
é    )Úactivation_dtypeÚactivation_is_int8_quantizedÚ"activation_is_statically_quantizedÚcalculate_qmin_qmaxÚcheck_min_max_validÚget_combined_dictÚget_qconfig_dtypesÚget_qparam_dictÚget_quant_typeÚget_swapped_custom_module_classÚgetattr_from_fqnÚis_per_channelÚis_per_tensorÚweight_dtypeÚweight_is_quantizedÚweight_is_statically_quantizedN)Ú__doc__Útorch.ao.quantization.utilsr   r   r   r   r   r   r	   r
   r   r   r   r   r   r   r   r   © ó    úT/var/www/html/ai-engine/env/lib/python3.11/site-packages/torch/quantization/utils.pyú<module>r      sÍ   ððð ðð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð r   