TanhDerivative

java.lang.Object
- org.nd4j.autodiff.functions.DifferentialFunction
- - org.nd4j.linalg.api.ops.BaseOp
  - - org.nd4j.linalg.api.ops.BaseTransformOp
    - - org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative

All Implemented Interfaces:

Op, TransformOp
```
public class TanhDerivative
extends BaseTransformOp
```
Tanh derivative

Nested Class Summary
- Nested classes/interfaces inherited from interface org.nd4j.linalg.api.ops.Op
  Op.Type

Field Summary
- Fields inherited from class org.nd4j.linalg.api.ops.BaseOp
  extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId
- Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction
  dimensions, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors
Constructor and Description
`TanhDerivative()`
`TanhDerivative(INDArray x)`
`TanhDerivative(INDArray x, INDArray z)`
`TanhDerivative(INDArray x, INDArray y, INDArray z, long n)`
`TanhDerivative(INDArray x, INDArray z, long n)`
`TanhDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace)`
`TanhDerivative(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, java.lang.Object[] extraArgs)`
`TanhDerivative(SameDiff sameDiff, SDVariable i_v, java.lang.Object[] extraArgs)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.util.List<SDVariable>`	`doDiff(java.util.List<SDVariable> f1)` The actual implementation for automatic differentiation.
`java.lang.String`	`onnxName()` The opName of this function in onnx
`java.lang.String`	`opName()` The name of the op
`int`	`opNum()` The number of the op (mainly for old legacy XYZ ops like `Op`)
`java.lang.String`	`tensorflowName()` The opName of this function tensorflow

Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformOp
calculateOutputShape, opType, z

Methods inherited from class org.nd4j.linalg.api.ops.BaseOp
equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, init, initFromOnnx, initFromTensorFlow, isExecSpecial, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getNumOutputs, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.api.ops.Op
exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, init, isExecSpecial, isPassThrough, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y

Constructor Detail

TanhDerivative

public TanhDerivative(SameDiff sameDiff,
                      SDVariable i_v,
                      boolean inPlace)

TanhDerivative

public TanhDerivative(SameDiff sameDiff,
                      SDVariable i_v,
                      int[] shape,
                      boolean inPlace,
                      java.lang.Object[] extraArgs)

TanhDerivative

public TanhDerivative(SameDiff sameDiff,
                      SDVariable i_v,
                      java.lang.Object[] extraArgs)

TanhDerivative
```
public TanhDerivative()
```

TanhDerivative

public TanhDerivative(INDArray x,
                      INDArray z)

TanhDerivative

public TanhDerivative(INDArray x,
                      INDArray z,
                      long n)

TanhDerivative

public TanhDerivative(INDArray x,
                      INDArray y,
                      INDArray z,
                      long n)

TanhDerivative
```
public TanhDerivative(INDArray x)
```

Method Detail
- opNum
```
public int opNum()
```
  Description copied from class: DifferentialFunction
  
  The number of the op (mainly for old legacy XYZ ops like Op)
  
  Specified by:
  
  opNum in interface Op
  
  Overrides:
  
  opNum in class DifferentialFunction
  
  Returns:
- opName
```
public java.lang.String opName()
```
  Description copied from class: DifferentialFunction
  
  The name of the op
  
  Specified by:
  
  opName in interface Op
  
  Overrides:
  
  opName in class DifferentialFunction
  
  Returns:
  
  the opName of this operation
- onnxName
```
public java.lang.String onnxName()
```
  Description copied from class: DifferentialFunction
  
  The opName of this function in onnx
  
  Specified by:
  
  onnxName in class DifferentialFunction
  
  Returns:
- tensorflowName
```
public java.lang.String tensorflowName()
```
  Description copied from class: DifferentialFunction
  
  The opName of this function tensorflow
  
  Specified by:
  
  tensorflowName in class DifferentialFunction
  
  Returns:
- doDiff
```
public java.util.List<SDVariable> doDiff(java.util.List<SDVariable> f1)
```
  Description copied from class: DifferentialFunction
  
  The actual implementation for automatic differentiation.
  
  Specified by:
  
  doDiff in class DifferentialFunction
  
  Returns:

Class TanhDerivative

Nested Class Summary

Nested classes/interfaces inherited from interface org.nd4j.linalg.api.ops.Op

Field Summary

Fields inherited from class org.nd4j.linalg.api.ops.BaseOp

Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction

Constructor Summary

Method Summary

Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformOp

Methods inherited from class org.nd4j.linalg.api.ops.BaseOp

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction

Methods inherited from class java.lang.Object

Methods inherited from interface org.nd4j.linalg.api.ops.Op

Constructor Detail

TanhDerivative

TanhDerivative

TanhDerivative

TanhDerivative

TanhDerivative

TanhDerivative

TanhDerivative

TanhDerivative

Method Detail

opNum

opName

onnxName

tensorflowName

doDiff