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.
| 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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RequantizationRange