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> | |
| Output<T> |
output()
|
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