QuantizedConv2DWithBiasAndReluAndRequantize

public final class QuantizedConv2DWithBiasAndReluAndRequantize

Nested Classes

class

QuantizedConv2DWithBiasAndReluAndRequantize.Options

Optional attributes for QuantizedConv2DWithBiasAndReluAndRequantize

Constants

String

OP_NAME

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

Public Methods

static <W extends TType> QuantizedConv2DWithBiasAndReluAndRequantize<W>	create(Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<? extends TType> bias, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Operand<TFloat32> minFreezedOutput, Operand<TFloat32> maxFreezedOutput, Class<W> outType, List<Long> strides, String padding, Options... options) Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndReluAndRequantize operation.
static QuantizedConv2DWithBiasAndReluAndRequantize.Options	dilations(List<Long> dilations)
Output<TFloat32>	maxOutput()
Output<TFloat32>	minOutput()
Output<W>	output()
static QuantizedConv2DWithBiasAndReluAndRequantize.Options	paddingList(List<Long> paddingList)

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.

Constants

public static final String OP_NAME

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

Constant Value: "QuantizedConv2DWithBiasAndReluAndRequantize"

Public Methods

public static QuantizedConv2DWithBiasAndReluAndRequantize<W> create (Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<? extends TType> bias, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Operand<TFloat32> minFreezedOutput, Operand<TFloat32> maxFreezedOutput, Class<W> outType, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndReluAndRequantize operation.

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of QuantizedConv2DWithBiasAndReluAndRequantize

public static QuantizedConv2DWithBiasAndReluAndRequantize.Options dilations (List<Long> dilations)

public Output<TFloat32> maxOutput ()

public Output<TFloat32> minOutput ()

public Output<W> output ()

public static QuantizedConv2DWithBiasAndReluAndRequantize.Options paddingList (List<Long> paddingList)