org.tensorflow.op.core

Class FakeQuantWithMinMaxVarsPerChannel

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel

All Implemented Interfaces:

Op, Operand<Float>

@Operator
public final class FakeQuantWithMinMaxVarsPerChannel
extends PrimitiveOp
implements Operand<Float>

Fake-quantize the 'inputs' tensor of type float and one of the shapes: `[d]`,

`[b, d]` `[b, h, w, d]` via per-channel floats `min` and `max` of shape `[d]` to 'outputs' tensor of same shape as `inputs`.

`[min; max]` define the clamping range for the `inputs` data. `inputs` values are quantized into the quantization range (`[0; 2^num_bits - 1]` when `narrow_range` is false and `[1; 2^num_bits - 1]` when it is true) and then de-quantized and output as floats in `[min; max]` interval. `num_bits` is the bitwidth of the quantization; between 2 and 16, inclusive.

This operation has a gradient and thus allows for training `min` and `max` values.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	FakeQuantWithMinMaxVarsPerChannel.Options Optional attributes for FakeQuantWithMinMaxVarsPerChannel

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Float>	asOutput() Returns the symbolic handle of a tensor.
static FakeQuantWithMinMaxVarsPerChannel	create(Scope scope, Operand<Float> inputs, Operand<Float> min, Operand<Float> max, FakeQuantWithMinMaxVarsPerChannel.Options... options) Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsPerChannel operation to the graph.
static FakeQuantWithMinMaxVarsPerChannel.Options	narrowRange(Boolean narrowRange)
static FakeQuantWithMinMaxVarsPerChannel.Options	numBits(Long numBits)
Output<Float>	outputs()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static FakeQuantWithMinMaxVarsPerChannel create(Scope scope,
                                                       Operand<Float> inputs,
                                                       Operand<Float> min,
                                                       Operand<Float> max,
                                                       FakeQuantWithMinMaxVarsPerChannel.Options... options)

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsPerChannel operation to the graph.

Parameters:

scope - current graph scope

inputs -

min -

max -

options - carries optional attributes values

Returns:

a new instance of FakeQuantWithMinMaxVarsPerChannel

numBits

public static FakeQuantWithMinMaxVarsPerChannel.Options numBits(Long numBits)

Parameters:

numBits -

narrowRange

public static FakeQuantWithMinMaxVarsPerChannel.Options narrowRange(Boolean narrowRange)

Parameters:

narrowRange -

outputs

public Output<Float> outputs()

asOutput

public Output<Float> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a tensor.

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.

Specified by:

asOutput in interface Operand<Float>

See Also:

OperationBuilder.addInput(Output)