FakeQuantWithMinMaxArgs

public final class FakeQuantWithMinMaxArgs

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

Attributes

• `[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.

Before quantization, `min` and `max` values are adjusted with the following logic. It is suggested to have `min <= 0 <= max`. If `0` is not in the range of values, the behavior can be unexpected:

• If `0 < min < max`: `min_adj = 0` and `max_adj = max - min`.
• If `min < max < 0`: `min_adj = min - max` and `max_adj = 0`.
• If `min <= 0 <= max`: `scale = (max - min) / (2^num_bits - 1) `, `min_adj = scale * round(min / scale)` and `max_adj = max + min_adj - min`.

Quantization is called fake since the output is still in floating point.

Nested Classes

class

FakeQuantWithMinMaxArgs.Options

Optional attributes for FakeQuantWithMinMaxArgs

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
static FakeQuantWithMinMaxArgs	create(Scope scope, Operand<TFloat32> inputs, Options... options) Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.
static FakeQuantWithMinMaxArgs.Options	max(Float max)
static FakeQuantWithMinMaxArgs.Options	min(Float min)
static FakeQuantWithMinMaxArgs.Options	narrowRange(Boolean narrowRange)
static FakeQuantWithMinMaxArgs.Options	numBits(Long numBits)
Output<TFloat32>	outputs()

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
abstract TFloat32	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<TFloat32>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "FakeQuantWithMinMaxArgs"

Public Methods

public Output<TFloat32> asOutput ()

Returns the symbolic handle of the 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.

public static FakeQuantWithMinMaxArgs create (Scope scope, Operand<TFloat32> inputs, Options... options)

Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of FakeQuantWithMinMaxArgs

public static FakeQuantWithMinMaxArgs.Options max (Float max)

public static FakeQuantWithMinMaxArgs.Options min (Float min)

public static FakeQuantWithMinMaxArgs.Options narrowRange (Boolean narrowRange)

public static FakeQuantWithMinMaxArgs.Options numBits (Long numBits)

public Output<TFloat32> outputs ()