public class RectifiedTanh extends BaseTransformStrictOp
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexIddimensions, extraArgs, inPlace, sameDiff, scalarValue| Constructor and Description |
|---|
RectifiedTanh() |
RectifiedTanh(INDArray x) |
RectifiedTanh(INDArray x,
INDArray z) |
RectifiedTanh(SameDiff sameDiff,
SDVariable i_v) |
RectifiedTanh(SameDiff sameDiff,
SDVariable i_v,
boolean inPlace) |
| Modifier and Type | Method and Description |
|---|---|
List<SDVariable> |
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
void |
initFromOnnx(Onnx.NodeProto node,
SameDiff initWith,
Map<String,Onnx.AttributeProto> attributesForNode,
Onnx.GraphProto graph)
Iniitialize the function from the given
Onnx.NodeProto |
void |
initFromTensorFlow(NodeDef nodeDef,
SameDiff initWith,
Map<String,AttrValue> attributesForNode,
GraphDef graph)
Initialize the function from the given
NodeDef |
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
The name of the op
|
int |
opNum()
The number of the op (mainly for old legacy XYZ ops
like
Op) |
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getOpType, opType, resultType, resultType, validateDataTypeszclearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, outputVariables, setX, setY, setZ, toCustomOp, toString, x, yarg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNamesclone, finalize, getClass, notify, notifyAll, wait, wait, waitclearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, zpublic RectifiedTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
public RectifiedTanh(SameDiff sameDiff, SDVariable i_v)
public RectifiedTanh()
public RectifiedTanh(INDArray x)
public int opNum()
DifferentialFunctionOp)opNum in interface OpopNum in class DifferentialFunctionpublic String opName()
DifferentialFunctionopName in interface OpopName in class DifferentialFunctionpublic String onnxName()
DifferentialFunctionpublic String tensorflowName()
DifferentialFunctiontensorflowName in class BaseOppublic void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
DifferentialFunctionNodeDefinitFromTensorFlow in class BaseOppublic void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map<String,Onnx.AttributeProto> attributesForNode, Onnx.GraphProto graph)
DifferentialFunctionOnnx.NodeProtoinitFromOnnx in class BaseOppublic List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunctiondoDiff in class DifferentialFunctionCopyright © 2020. All rights reserved.