:py:mod:`neural_compressor.experimental.export.tf2onnx`
=======================================================

.. py:module:: neural_compressor.experimental.export.tf2onnx

.. autoapi-nested-parse::

   Helper functions to export model from TensorFlow to ONNX.



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


Functions
~~~~~~~~~

.. autoapisummary::

   neural_compressor.experimental.export.tf2onnx.tf_to_fp32_onnx
   neural_compressor.experimental.export.tf2onnx.tf_to_int8_onnx



.. py:function:: tf_to_fp32_onnx(graph_def, save_path, opset_version=14, input_names=None, output_names=None, inputs_as_nchw=None)

   Export FP32 Tensorflow model into FP32 ONNX model using tf2onnx tool.

   :param graph_def: fp32 graph_def.
   :type graph_def: graph_def to convert
   :param save_path: save path of ONNX model.
   :type save_path: str
   :param opset_version: opset version. Defaults to 14.
   :type opset_version: int, optional
   :param input_names: input names. Defaults to None.
   :type input_names: list, optional
   :param output_names: output names. Defaults to None.
   :type output_names: list, optional
   :param inputs_as_nchw: transpose the input. Defaults to None.
   :type inputs_as_nchw: list, optional


.. py:function:: tf_to_int8_onnx(int8_model, save_path, opset_version: int = 14, input_names=None, output_names=None, inputs_as_nchw=None)

   Export INT8 Tensorflow model into INT8 ONNX model.

   :param int8_model: int8 model.
   :type int8_model: tensorflow ITEX QDQ model
   :param save_path: save path of ONNX model.
   :type save_path: str
   :param opset_version: opset version. Defaults to 14.
   :type opset_version: int, optional
   :param input_names: input names. Defaults to None.
   :type input_names: list, optional
   :param output_names: output names. Defaults to None.
   :type output_names: list, optional
   :param inputs_as_nchw: transpose the input. Defaults to None.
   :type inputs_as_nchw: list, optional