mlir._mlir_libs._mlir.dialects.quant
====================================

.. py:module:: mlir._mlir_libs._mlir.dialects.quant


Classes
-------

.. autoapisummary::

   mlir._mlir_libs._mlir.dialects.quant.QuantizedType
   mlir._mlir_libs._mlir.dialects.quant.AnyQuantizedType
   mlir._mlir_libs._mlir.dialects.quant.UniformQuantizedType
   mlir._mlir_libs._mlir.dialects.quant.UniformQuantizedPerAxisType


Functions
---------

.. autoapisummary::

   mlir._mlir_libs._mlir.dialects.quant.CalibratedQuantizedType


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

.. py:class:: QuantizedType

   Bases: :py:obj:`mlir.ir.Type`


   .. py:method:: isinstance(type: mlir.ir.Type) -> bool
      :staticmethod:



   .. py:method:: default_minimum_for_integer(is_signed: bool, integral_width: int) -> int
      :staticmethod:



   .. py:method:: default_maximum_for_integer(is_signed: bool, integral_width: int) -> int
      :staticmethod:



   .. py:property:: expressed_type
      :type: mlir.ir.Type



   .. py:property:: flags
      :type: int



   .. py:property:: is_signed
      :type: bool



   .. py:property:: storage_type
      :type: mlir.ir.Type



   .. py:property:: storage_type_min
      :type: int



   .. py:property:: storage_type_max
      :type: int



   .. py:property:: storage_type_integral_width
      :type: int



   .. py:method:: is_compatible_expressed_type(candidate: mlir.ir.Type) -> bool


   .. py:property:: quantized_element_type
      :type: mlir.ir.Type



   .. py:method:: cast_from_storage_type(candidate: mlir.ir.Type) -> mlir.ir.Type


   .. py:method:: cast_to_storage_type(type: mlir.ir.Type) -> mlir.ir.Type
      :staticmethod:



   .. py:method:: cast_from_expressed_type(candidate: mlir.ir.Type) -> mlir.ir.Type


   .. py:method:: cast_to_expressed_type(type: mlir.ir.Type) -> mlir.ir.Type
      :staticmethod:



   .. py:method:: cast_expressed_to_storage_type(candidate: mlir.ir.Type) -> mlir.ir.Type


.. py:class:: AnyQuantizedType

   Bases: :py:obj:`QuantizedType`


   .. py:method:: get(flags: int, storage_type: mlir.ir.Type, expressed_type: mlir.ir.Type, storage_type_min: int, storage_type_max: int) -> mlir.ir.Type
      :classmethod:



.. py:class:: UniformQuantizedType

   Bases: :py:obj:`QuantizedType`


   .. py:method:: get(flags: int, storage_type: mlir.ir.Type, expressed_type: mlir.ir.Type, scale: float, zero_point: int, storage_type_min: int, storage_type_max: int) -> mlir.ir.Type
      :classmethod:



   .. py:property:: scale
      :type: float



   .. py:property:: zero_point
      :type: int



   .. py:property:: is_fixed_point
      :type: bool



.. py:class:: UniformQuantizedPerAxisType

   Bases: :py:obj:`QuantizedType`


   .. py:method:: get(flags: int, storage_type: mlir.ir.Type, expressed_type: mlir.ir.Type, scales: list[float], zero_points: list[int], quantized_dimension: int, storage_type_min: int, storage_type_max: int)
      :classmethod:



   .. py:property:: scales
      :type: list[float]



   .. py:property:: zero_points
      :type: list[int]



   .. py:property:: quantized_dimension
      :type: int



   .. py:property:: is_fixed_point
      :type: bool



.. py:function:: CalibratedQuantizedType(QuantizedType)