CumSum

java.lang.Object
- org.nd4j.autodiff.functions.DifferentialFunction
- - org.nd4j.linalg.api.ops.DynamicCustomOp
  - - org.nd4j.linalg.api.ops.impl.accum.CumSum

All Implemented Interfaces:

CustomOp
```
public class CumSum
extends DynamicCustomOp
```
Cumulative sum operation, optionally along dimension.

Nested Class Summary
- Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
  DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder

Field Summary

Fields
Modifier and Type Field and Description

protected int[] axis

protected boolean exclusive

protected boolean reverse
- Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
  iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
- Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction
  dimensions, extraArgs, inPlace, sameDiff, scalarValue

Fields
Modifier and Type	Field and Description
`protected int[]`	`axis`
`protected boolean`	`exclusive`
`protected boolean`	`reverse`

Constructor Summary

Constructors
Constructor and Description
`CumSum()`
`CumSum(INDArray in, INDArray result, boolean exclusive, boolean reverse, int... axis)`
`CumSum(SameDiff sameDiff, SDVariable x, boolean exclusive, boolean reverse, int... axis)`
`CumSum(SameDiff sameDiff, SDVariable x, int... axis)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`protected void`	`addArgs()`
`java.util.Map<java.lang.String,java.util.Map<java.lang.String,AttributeAdapter>>`	`attributeAdaptersForFunction()` Returns the `AttributeAdapter` s for each of the possible ops for import (typically tensorflow and onnx) See `AttributeAdapter` for more information on what the adapter does.
`java.util.List<SDVariable>`	`doDiff(java.util.List<SDVariable> grad)` The actual implementation for automatic differentiation.
`void`	`initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, java.util.Map<java.lang.String,OnnxProto3.AttributeProto> attributesForNode, OnnxProto3.GraphProto graph)` Iniitialize the function from the given `OnnxProto3.NodeProto`
`void`	`initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, java.util.Map<java.lang.String,AttrValue> attributesForNode, GraphDef graph)` Initialize the function from the given `NodeDef`
`java.util.Map<java.lang.String,java.util.Map<java.lang.String,PropertyMapping>>`	`mappingsForFunction()` Returns the mappings for a given function ( for tensorflow and onnx import mapping properties of this function).
`java.lang.String`	`opName()` This method returns op opName as string
`java.lang.String`	`tensorflowName()` The opName of this function tensorflow

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, configFieldName, diff, dup, equals, f, getNumOutputs, getValue, hashCode, hasPlaceHolderInputs, isConfigProperties, larg, onnxNames, outputVariable, 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.CustomOp
isInplaceCall

- Field Detail
  - exclusive
```
protected boolean exclusive
```
  - reverse
```
protected boolean reverse
```
  - axis
```
protected int[] axis
```
- Constructor Detail
  - CumSum
```
public CumSum()
```
  - CumSum
```
public CumSum(SameDiff sameDiff,
              SDVariable x,
              int... axis)
```
  - CumSum
```
public CumSum(SameDiff sameDiff,
              SDVariable x,
              boolean exclusive,
              boolean reverse,
              int... axis)
```
  - CumSum
```
public CumSum(INDArray in,
              INDArray result,
              boolean exclusive,
              boolean reverse,
              int... axis)
```
- Method Detail
  - opName
```
public java.lang.String opName()
```
    Description copied from class: DynamicCustomOp
    
    This method returns op opName as string
    
    Specified by:
    
    opName in interface CustomOp
    
    Overrides:
    
    opName in class DynamicCustomOp
    
    Returns:
  - tensorflowName
```
public java.lang.String tensorflowName()
```
    Description copied from class: DifferentialFunction
    
    The opName of this function tensorflow
    
    Overrides:
    
    tensorflowName in class DynamicCustomOp
    
    Returns:
  - attributeAdaptersForFunction
```
public java.util.Map<java.lang.String,java.util.Map<java.lang.String,AttributeAdapter>> attributeAdaptersForFunction()
```
    Description copied from class: DifferentialFunction
    
    Returns the AttributeAdapter s for each of the possible ops for import (typically tensorflow and onnx) See AttributeAdapter for more information on what the adapter does. Similar to DifferentialFunction.mappingsForFunction(), the returned map contains a AttributeAdapter for each field name when one is present. (It is optional for one to exist)_
    
    Overrides:
    
    attributeAdaptersForFunction in class DifferentialFunction
    
    Returns:
  - mappingsForFunction
```
public java.util.Map<java.lang.String,java.util.Map<java.lang.String,PropertyMapping>> mappingsForFunction()
```
    Description copied from class: DifferentialFunction
    
    Returns the mappings for a given function ( for tensorflow and onnx import mapping properties of this function). The mapping is indexed by field name. If the function has no properties, this returned map will be empty. Note that some functions have multiple names. This function returns a map indexed by each alias it has for a given name. These names include both onnx and tensorflow names (which might be 1 or more)
    
    Overrides:
    
    mappingsForFunction in class DifferentialFunction
    
    Returns:
  - initFromTensorFlow
```
public void initFromTensorFlow(NodeDef nodeDef,
                               SameDiff initWith,
                               java.util.Map<java.lang.String,AttrValue> attributesForNode,
                               GraphDef graph)
```
    Description copied from class: DifferentialFunction
    
    Initialize the function from the given NodeDef
    
    Overrides:
    
    initFromTensorFlow in class DynamicCustomOp
  - addArgs
```
protected void addArgs()
```
  - initFromOnnx
```
public void initFromOnnx(OnnxProto3.NodeProto node,
                         SameDiff initWith,
                         java.util.Map<java.lang.String,OnnxProto3.AttributeProto> attributesForNode,
                         OnnxProto3.GraphProto graph)
```
    Description copied from class: DifferentialFunction
    
    Iniitialize the function from the given OnnxProto3.NodeProto
    
    Overrides:
    
    initFromOnnx in class DynamicCustomOp
  - doDiff
```
public java.util.List<SDVariable> doDiff(java.util.List<SDVariable> grad)
```
    Description copied from class: DifferentialFunction
    
    The actual implementation for automatic differentiation.
    
    Overrides:
    
    doDiff in class DynamicCustomOp
    
    Returns:

Class CumSum

Nested Class Summary

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

Field Summary

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

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

Constructor Summary

Method Summary

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

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.CustomOp

Field Detail

exclusive

reverse

axis

Constructor Detail

CumSum

CumSum

CumSum

CumSum

Method Detail

opName

tensorflowName

attributeAdaptersForFunction

mappingsForFunction

initFromTensorFlow

addArgs

initFromOnnx

doDiff