tensorflow:: ops:: Requantize

Converts the quantized input tensor into a lower-precision output .

Summary

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

Args:

• 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.

Public attributes

Operation operation

::tensorflow::Output output

::tensorflow::Output output_max

::tensorflow::Output output_min

Public functions

 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
)