tensorflow::ops::QuantizedAdd

#include <math_ops.h>

Returns x + y element-wise, working on quantized buffers.

Summary

Arguments:

• scope: A Scope object
• min_x: The float value that the lowest quantized x value represents.
• max_x: The float value that the highest quantized x value represents.
• min_y: The float value that the lowest quantized y value represents.
• max_y: The float value that the highest quantized y value represents.

Returns:

• Output z
• Output min_z: The float value that the lowest quantized output value represents.
• Output max_z: The float value that the highest quantized output value represents.

NOTE: QuantizedAdd supports limited forms of broadcasting. More about broadcasting here

Public attributes

::tensorflow::Output max_z

::tensorflow::Output min_z

Operation operation

::tensorflow::Output z

Public functions

 QuantizedAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  ::tensorflow::Input min_x,
  ::tensorflow::Input max_x,
  ::tensorflow::Input min_y,
  ::tensorflow::Input max_y
)

 QuantizedAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  ::tensorflow::Input min_x,
  ::tensorflow::Input max_x,
  ::tensorflow::Input min_y,
  ::tensorflow::Input max_y,
  const QuantizedAdd::Attrs & attrs
)

Public static functions

Attrs Toutput(
  DataType x
)