tf.raw_ops.RequantizationRange

Computes a range that covers the actual values present in a quantized tensor.

tf.raw_ops.RequantizationRange(
    input, input_min, input_max, name=None
)

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

input A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
input_min A Tensor of type float32. The float value that the minimum quantized input value represents.
input_max A Tensor of type float32. The float value that the maximum quantized input value represents.
name A name for the operation (optional).

A tuple of Tensor objects (output_min, output_max).
output_min A Tensor of type float32.
output_max A Tensor of type float32.