tf.raw_ops.RequantizationRange

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

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RequantizationRange

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.

Args
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).

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