QuantizedConv2DWithBias

public final class QuantizedConv2DWithBias

Nested Classes

class QuantizedConv2DWithBias.Options Optional attributes for QuantizedConv2DWithBias  

Constants

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

Public Methods

static <V extends TType> QuantizedConv2DWithBias<V>
create(Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<TFloat32> bias, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new QuantizedConv2DWithBias operation.
static QuantizedConv2DWithBias.Options
dilations(List<Long> dilations)
Output<TFloat32>
Output<TFloat32>
Output<V>
output()
static QuantizedConv2DWithBias.Options
paddingList(List<Long> paddingList)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "QuantizedConv2DWithBias"

Public Methods

public static QuantizedConv2DWithBias<V> create (Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<TFloat32> bias, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new QuantizedConv2DWithBias operation.

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of QuantizedConv2DWithBias

public static QuantizedConv2DWithBias.Options dilations (List<Long> dilations)

public Output<TFloat32> maxOutput ()

public Output<TFloat32> minOutput ()

public Output<V> output ()

public static QuantizedConv2DWithBias.Options paddingList (List<Long> paddingList)