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>
output()

Inherited Methods

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()
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()
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.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

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 ()