FakeQuantWithMinMaxVars

Fake-quantize the 'inputs' tensor of type float via global float scalars

Fake-quantize the `inputs` tensor of type float via global float scalars `min` and `max` to `outputs` tensor of same shape as `inputs`.

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`.

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

Nested Classes

class

FakeQuantWithMinMaxVars.Options

Optional attributes for FakeQuantWithMinMaxVars

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 FakeQuantWithMinMaxVars	create(Scope scope, Operand<TFloat32> inputs, Operand<TFloat32> min, Operand<TFloat32> max, Options... options) Factory method to create a class wrapping a new FakeQuantWithMinMaxVars operation.
static FakeQuantWithMinMaxVars.Options	narrowRange(Boolean narrowRange)
static FakeQuantWithMinMaxVars.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.