tensorflow::ops::Requantize

#include <math_ops.h>

Convert the quantized 'input' tensor into a lower-precision 'output', using the.

Summary

output range specified with 'requested_output_min' and 'requested_output_max'.

[input_min, input_max] are scalar floats that specify the range for the float interpretation of the 'input' data. For example, if input_min is -1.0f and input_max is 1.0f, and we are dealing with quint16 quantized data, then a 0 value in the 16-bit data should be interpreted as -1.0f, and a 65535 means 1.0f.

Arguments:

  • scope: A Scope object
  • input_min: The float value that the minimum quantized input value represents.
  • input_max: The float value that the maximum quantized input value represents.
  • requested_output_min: The float value that the minimum quantized output value represents.
  • requested_output_max: The float value that the maximum quantized output value represents.
  • out_type: The type of the output. Should be a lower bit depth than Tinput.

Returns:

  • Output output
  • Output output_min: The requested_output_min value is copied into this output.
  • Output output_max: The requested_output_max value is copied into this output.

Constructors and Destructors

Requantize(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, ::tensorflow::Input requested_output_min, ::tensorflow::Input requested_output_max, DataType out_type)

Public attributes

output
output_max
output_min

Public attributes

output

::tensorflow::Output output

output_max

::tensorflow::Output output_max

output_min

::tensorflow::Output output_min

Public functions

Requantize

 Requantize(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max,
  ::tensorflow::Input requested_output_min,
  ::tensorflow::Input requested_output_max,
  DataType out_type
)