RequantizationRange

tensorflow C++ API

tensorflow::ops::RequantizationRange

Given a quantized tensor described by (input, input_min, input_max), outputs a.

Summary

range that covers the actual values present in that tensor. This op is typically used to produce the requested_output_min and requested_output_max for Requantize.

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.
• out_type: The type of the output. Should be a lower bit depth than Tinput.

Output

• Output output_min: The computed min output.
• Output output_max: The computed max output.

Constructor

• QuantizeDownAndShrinkRange(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, DataType out_type)

Public attributes

• tensorflow::Output output_min.
• tensorflow::Output output_max.

RequantizationRange block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_math.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.).
• Input input:connect Input node.
• Input input_min:connect Input node.
• Input input_max:connect Input node.

Return:

• Output output: Output object of RequantizationRange class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method

tensorflow -> error: No OpKernel was registered to support Op ‘RequantizationRange’ with these attrs.

Registered devices: [CPU,GPU], Registered kernels:

<no registered kernels>

[[Node: RequantizationRange = RequantizationRange[Tinput=DT_QINT16](Cast, Const_2, Const_4)]].