afe.tvm_converter.parameters
============================

.. py:module:: afe.tvm_converter.parameters

.. autoapi-nested-parse::

   Global parameters to the TVM converter.  This holds data
   that is passed to the converter and is globally available
   during the TVM converter.



Classes
-------

.. autoapisummary::

   afe.tvm_converter.parameters.TVMConverterParams


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

.. py:class:: TVMConverterParams

   Parameters to an invocation of the TVM converter.  These parameters
   control how to convert a Relay IR module to an AwesomeNet.

   :param requantization_mode: Requantization mode to use when translating quantized operators.
   :param is_quantized: Whether the module is already quantized.  If true, then the translation
      will not prepare for the SiMa IR quantization pass to run afterward.
   :param target: A target platform that a model is compiled for.


   .. py:attribute:: requantization_mode
      :type:  afe.ir.defines.RequantizationMode


   .. py:attribute:: is_quantized
      :type:  bool
      :value: False



   .. py:attribute:: target
      :type:  sima_utils.common.Platform