Converts the quantized `input` tensor into a lower-precision `output`.
Converts the quantized `input` tensor into a lower-precision `output`, using the output range specified with `requested_output_min` and `requested_output_max`.
`[input_min, input_max]` are scalar floats that specify the range for the float interpretation of the `input` data. For example, if `input_min` is -1.0f and `input_max` is 1.0f, and we are dealing with `quint16` quantized data, then a 0 value in the 16-bit data should be interpreted as -1.0f, and a 65535 means 1.0f.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static Requantize<U> create (Scope scope, Operand<? extends TType> input, Operand<TFloat32> inputMin, Operand<TFloat32> inputMax, Operand<TFloat32> requestedOutputMin, Operand<TFloat32> requestedOutputMax, Class<U> outType)
Factory method to create a class wrapping a new Requantize operation.
Parameters
scope | current scope |
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inputMin | The float value that the minimum quantized input value represents. |
inputMax | The float value that the maximum quantized input value represents. |
requestedOutputMin | The float value that the minimum quantized output value represents. |
requestedOutputMax | The float value that the maximum quantized output value represents. |
outType | The type of the output. Should be a lower bit depth than Tinput. |
Returns
- a new instance of Requantize