RequantizationRange
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Computes a range that covers the actual values present in a quantized tensor.
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`.
Constants
String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
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final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
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notify()
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final
void
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notifyAll()
|
String
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toString()
|
final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"RequantizationRange"
Public Methods
Factory method to create a class wrapping a new RequantizationRange operation.
Parameters
scope |
current scope |
inputMin |
The float value that the minimum quantized input value represents. |
inputMax |
The float value that the maximum quantized input value represents. |
Returns
- a new instance of RequantizationRange
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Last updated 2021-11-29 UTC.
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