QuantizedDepthwiseConv2DWithBiasAndRelu

public final class QuantizedDepthwiseConv2DWithBiasAndRelu

Computes quantized depthwise Conv2D with Bias and Relu.

Nested Classes

class

QuantizedDepthwiseConv2DWithBiasAndRelu.Options

Optional attributes for QuantizedDepthwiseConv2DWithBiasAndRelu

Public Methods

static <V, T, U> QuantizedDepthwiseConv2DWithBiasAndRelu<V>	create(Scope scope, Operand<T> input, Operand<U> filter, Operand<Float> bias, Operand<Float> minInput, Operand<Float> maxInput, Operand<Float> minFilter, Operand<Float> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options) Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndRelu operation.
static QuantizedDepthwiseConv2DWithBiasAndRelu.Options	dilations(List<Long> dilations)
Output<Float>	maxOutput() The float value that the maximum quantized output value represents.
Output<Float>	minOutput() The float value that the minimum quantized output value represents.
Output<V>	output() The output tensor.
static QuantizedDepthwiseConv2DWithBiasAndRelu.Options	paddingList(List<Long> paddingList)

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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()

Public Methods

public static QuantizedDepthwiseConv2DWithBiasAndRelu<V> create (Scope scope, Operand<T> input, Operand<U> filter, Operand<Float> bias, Operand<Float> minInput, Operand<Float> maxInput, Operand<Float> minFilter, Operand<Float> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndRelu operation.

Parameters

scope	current scope
input	The original input tensor.
filter	The original filter tensor.
bias	The original bias tensor.
minInput	The float value that the minimum quantized input value represents.
maxInput	The float value that the maximum quantized input value represents.
minFilter	The float value that the minimum quantized filter value represents.
maxFilter	The float value that the maximum quantized filter value represents.
outType	The type of the output.
strides	List of stride values.
options	carries optional attributes values

Returns

• a new instance of QuantizedDepthwiseConv2DWithBiasAndRelu

public static QuantizedDepthwiseConv2DWithBiasAndRelu.Options dilations (List<Long> dilations)

Parameters

dilations	List of dilation values.

public Output<Float> maxOutput ()

The float value that the maximum quantized output value represents.

public Output<Float> minOutput ()

The float value that the minimum quantized output value represents.

public Output<V> output ()

The output tensor.

public static QuantizedDepthwiseConv2DWithBiasAndRelu.Options paddingList (List<Long> paddingList)