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

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
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)