tf.raw_ops.RequantizationRange
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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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Last updated 2023-10-06 UTC.
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