T
- data type for output()
output@Operator(group="quantization") public final class QuantizeAndDequantize<T extends Number> extends PrimitiveOp implements Operand<T>
This is almost identical to QuantizeAndDequantizeV2, except that num_bits is a tensor, so its value can change during training.
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,
Operand<T> inputMin,
Operand<T> inputMax,
Operand<Integer> numBits,
QuantizeAndDequantize.Options... options)
Factory method to create a class wrapping a new QuantizeAndDequantize operation.
|
static QuantizeAndDequantize.Options |
narrowRange(Boolean narrowRange) |
Output<T> |
output() |
static QuantizeAndDequantize.Options |
rangeGiven(Boolean rangeGiven) |
static QuantizeAndDequantize.Options |
signedInput(Boolean signedInput) |
equals, hashCode, op, toString
public static <T extends Number> QuantizeAndDequantize<T> create(Scope scope, Operand<T> input, Operand<T> inputMin, Operand<T> inputMax, Operand<Integer> numBits, QuantizeAndDequantize.Options... options)
scope
- current scopeinput
- inputMin
- inputMax
- numBits
- options
- carries optional attributes valuespublic static QuantizeAndDequantize.Options signedInput(Boolean signedInput)
signedInput
- public static QuantizeAndDequantize.Options rangeGiven(Boolean rangeGiven)
rangeGiven
- public static QuantizeAndDequantize.Options narrowRange(Boolean narrowRange)
narrowRange
- public Output<T> asOutput()
Operand
Inputs 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)
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