Conv

public final class Conv

Wraps the XLA ConvGeneralDilated operator, documented at

https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution .

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TType , U extends TNumber > Conv <T>
create ( Scope scope, Operand <T> lhs, Operand <T> rhs, Operand <U> windowStrides, Operand <U> padding, Operand <U> lhsDilation, Operand <U> rhsDilation, Operand <U> featureGroupCount, String dimensionNumbers, String precisionConfig)
Factory method to create a class wrapping a new Conv operation.
Output <T>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "XlaConv"

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Conv <T> create ( Scope scope, Operand <T> lhs, Operand <T> rhs, Operand <U> windowStrides, Operand <U> padding, Operand <U> lhsDilation, Operand <U> rhsDilation, Operand <U> featureGroupCount, String dimensionNumbers, String precisionConfig)

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

Parameters
scope current scope
lhs the input tensor
rhs the kernel tensor
windowStrides the inter-window strides
padding the padding to apply at the start and end of each input dimensions
lhsDilation dilation to apply between input elements
rhsDilation dilation to apply between kernel elements
featureGroupCount number of feature groups for grouped convolution.
dimensionNumbers a serialized xla::ConvolutionDimensionNumbers proto.
precisionConfig a serialized xla::PrecisionConfig proto.
Returns
  • a new instance of Conv

public Output <T> output ()