sima_qat.onnx_ops
=================

.. py:module:: sima_qat.onnx_ops


Functions
---------

.. autoapisummary::

   sima_qat.onnx_ops.fake_quantize_per_tensor_affine
   sima_qat.onnx_ops.fake_dequantize_per_tensor_affine
   sima_qat.onnx_ops.fake_quantize_per_channel_affine


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

.. py:function:: fake_quantize_per_tensor_affine(g: torch.onnx._internal.jit_utils.GraphContext, inputs, scale, zero_point, quant_min=-128, quant_max=127, dtype=torch.dtype)

.. py:function:: fake_dequantize_per_tensor_affine(g: torch.onnx._internal.jit_utils.GraphContext, inputs, scale, zero_point, quant_min=-128, quant_max=127, dtype=torch.dtype)

.. py:function:: fake_quantize_per_channel_affine(g: torch.onnx._internal.jit_utils.GraphContext, inputs, scales, zero_points, axis, quant_min=-128, quant_max=127, dtype=torch.dtype)