| Modifier and Type | Class and Description |
|---|---|
static class |
QuantizeAndDequantize.Options
Optional attributes for
QuantizeAndDequantize |
operation| Modifier and Type | Method and Description |
|---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<T> input,
QuantizeAndDequantize.Options... options)
Factory method to create a class to wrap a new QuantizeAndDequantize operation to the graph.
|
static QuantizeAndDequantize.Options |
inputMax(Float inputMax) |
static QuantizeAndDequantize.Options |
inputMin(Float inputMin) |
static QuantizeAndDequantize.Options |
numBits(Long numBits) |
Output<T> |
output() |
static QuantizeAndDequantize.Options |
rangeGiven(Boolean rangeGiven) |
static QuantizeAndDequantize.Options |
signedInput(Boolean signedInput) |
equals, hashCode, toStringpublic static <T extends Number> QuantizeAndDequantize<T> create(Scope scope, Operand<T> input, QuantizeAndDequantize.Options... options)
scope - current graph scopeinput - options - carries optional attributes valuespublic static QuantizeAndDequantize.Options signedInput(Boolean signedInput)
signedInput - public static QuantizeAndDequantize.Options numBits(Long numBits)
numBits - public static QuantizeAndDequantize.Options rangeGiven(Boolean rangeGiven)
rangeGiven - public static QuantizeAndDequantize.Options inputMin(Float inputMin)
inputMin - public static QuantizeAndDequantize.Options inputMax(Float inputMax)
inputMax - public Output<T> asOutput()
OperandInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput in interface Operand<T extends Number>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.