All Known Subinterfaces:

GridExecutioner

All Known Implementing Classes:

DefaultOpExecutioner
```
public interface OpExecutioner
```

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static class OpExecutioner.ExecutionerType

static class OpExecutioner.ProfilingMode

Method Summary

All Methods Instance Methods Abstract Methods Deprecated Methods
Modifier and Type	Method	Description
`INDArray[]`	`allocateOutputArrays(CustomOp op)`	Equivalent to calli
`INDArray`	`bitmapDecode(INDArray encoded, INDArray target)`
`INDArray`	`bitmapEncode(INDArray indArray, double threshold)`
`long`	`bitmapEncode(INDArray indArray, INDArray target, double threshold)`	This method returns number of elements affected by encoder
`OpContext`	`buildContext()`	This method returns OpContext which can be used (and reused) to execute custom ops
`List<LongShapeDescriptor>`	`calculateOutputShape(CustomOp op)`
`List<LongShapeDescriptor>`	`calculateOutputShape(CustomOp op, OpContext opContext)`
`void`	`commit()`	This method ensures all operations that supposed to be executed at this moment, are executed and finished.
`DataBuffer`	`createConstantBuffer(double[] values, DataType desiredType)`
`DataBuffer`	`createConstantBuffer(float[] values, DataType desiredType)`
`DataBuffer`	`createConstantBuffer(int[] values, DataType desiredType)`
`DataBuffer`	`createConstantBuffer(long[] values, DataType desiredType)`	This method returns constant buffer for the given jvm array
`DataBuffer`	`createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, boolean empty)`	This method returns shapeInfo DataBuffer
`DataBuffer`	`createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, long extra)`
`void`	`enableDebugMode(boolean reallyEnable)`
`void`	`enableVerboseMode(boolean reallyEnable)`
`void`	`exec(List<Aggregate> batch)`	This method takes arbitrary sized list of aggregates, and packs them into batches
`void`	`exec(Aggregate op)`
`<T extends Aggregate> void`	`exec(Batch<T> batch)`	This method executes previously built batch
`INDArray`	`exec(BroadcastOp broadcast)`	Execute a broadcast op, possibly along one or more dimensions
`INDArray[]`	`exec(CustomOp op)`
`INDArray[]`	`exec(CustomOp op, OpContext context)`	This method executes op with given context
`void`	`exec(GridOp op)`	Execute GridOp
`INDArray`	`exec(Variance accumulation)`	Execute an variance accumulation op, possibly along one or more dimensions
`INDArray`	`exec(IndexAccumulation indexAccum)`	Execute an index accumulation along one or more dimensions
`void`	`exec(MetaOp op)`	Execute MetaOp
`INDArray`	`exec(Op op)`	Execute the operation
`INDArray`	`exec(Op op, OpContext opContext)`	Execute the operation
`INDArray`	`exec(RandomOp op)`	This method executes specified RandomOp using default RNG available via Nd4j.getRandom()
`INDArray`	`exec(RandomOp op, Random rng)`	This method executes specific RandomOp against specified RNG
`INDArray`	`exec(ReduceOp reduceOp)`	Execute a reduceOp, possibly along one or more dimensions
`INDArray`	`exec(ScalarOp broadcast)`	Execute ScalarOp
`BroadcastOp`	`execAndReturn(BroadcastOp op)`	Execute and return the result from a vector op
`CustomOp`	`execAndReturn(CustomOp op)`	This method executes given CustomOp PLEASE NOTE: You're responsible for input/output validation
`Variance`	`execAndReturn(Variance op)`	Execute and return the result from an accumulation
`IndexAccumulation`	`execAndReturn(IndexAccumulation op)`	Execute and return the result from an index accumulation
`Op`	`execAndReturn(Op op)`	Execute and return a result ndarray from the given op
`ReduceOp`	`execAndReturn(ReduceOp op)`	Execute and return the result from an accumulation
`ScalarOp`	`execAndReturn(ScalarOp op)`	Execute and return the result from a scalar op
`TransformOp`	`execAndReturn(TransformOp op)`	Execute a TransformOp and return the result
`Map<String,INDArray>`	`executeGraph(long id, Map<String,INDArray> map, Map<String,Integer> reverseMap)`
`void`	`forgetGraph(long id)`
`Map<String,CustomOpDescriptor>`	`getCustomOperations()`	This method returns names of all custom operations available in current backend, and their number of input/output arguments
`Properties`	`getEnvironmentInformation()`	This method return set of key/value and key/key/value objects, describing current environment
`String`	`getLastOp()`	This method returns opName of the last invoked op
`OpExecutioner.ProfilingMode`	`getProfilingMode()`	Deprecated.
`String`	`getString(DataBuffer buffer, long index)`	This method extracts String from Utf8Buffer
`TADManager`	`getTADManager()`	This method returns TADManager instance used for this OpExecutioner
`INDArrayStatistics`	`inspectArray(INDArray array)`
`boolean`	`isDebug()`	This method returns true if debug mode is enabled, false otherwise
`boolean`	`isExperimentalMode()`
`boolean`	`isVerbose()`	This method returns true if verbose mode is enabled, false otherwise
`void`	`printEnvironmentInformation()`	This method prints out environmental information returned by getEnvironmentInformation() method
`void`	`push()`	This method ensures all operations that supposed to be executed at this moment, are executed.
`void`	`registerGraph(long id, org.bytedeco.javacpp.Pointer graph)`
`void`	`scatterUpdate(ScatterUpdate.UpdateOp op, @NonNull INDArray array, @NonNull INDArray indices, @NonNull INDArray updates, int[] axis)`	Deprecated.
`void`	`setElementsThreshold(int threshold)`	This method allows to set desired number of elements per thread, for performance optimization purposes.
`void`	`setProfilingConfig(ProfilerConfig config)`	This method stores specified configuration.
`void`	`setProfilingMode(OpExecutioner.ProfilingMode mode)`	Deprecated.
`void`	`setTadThreshold(int threshold)`	This method allows to set desired number of sub-arrays per thread, for performance optimization purposes.
`TadPack`	`tadShapeInfoAndOffsets(INDArray array, int[] dimension)`	This method returns host/device tad buffers
`INDArray`	`thresholdDecode(INDArray encoded, INDArray target)`	This method decodes thresholds array, and puts it into target array
`INDArray`	`thresholdEncode(INDArray input, double threshold)`	This method encodes array as thresholds, updating input array at the same time
`INDArray`	`thresholdEncode(INDArray input, double threshold, Integer boundary)`	This method encodes array as thresholds, updating input array at the same time
`OpExecutioner.ExecutionerType`	`type()`	This method returns type for this executioner instance
`int`	`useCount(DataBuffer buffer)`	This method returns reference use count from the Buffer

- Method Detail
  - isVerbose
```
boolean isVerbose()
```
    This method returns true if verbose mode is enabled, false otherwise
    
    Returns:
  - isDebug
```
boolean isDebug()
```
    This method returns true if debug mode is enabled, false otherwise
    
    Returns:
  - type
```
OpExecutioner.ExecutionerType type()
```
    This method returns type for this executioner instance
    
    Returns:
  - getLastOp
```
String getLastOp()
```
    This method returns opName of the last invoked op
    
    Returns:
  - exec
```
INDArray exec(Op op)
```
    Execute the operation
    
    Parameters:
    
    op - the operation to execute
  - exec
```
INDArray exec(Op op,
              OpContext opContext)
```
    Execute the operation
    
    Parameters:
    
    op - the operation to execute
  - execAndReturn
```
TransformOp execAndReturn(TransformOp op)
```
    Execute a TransformOp and return the result
    
    Parameters:
    
    op - the operation to execute
  - execAndReturn
```
ReduceOp execAndReturn(ReduceOp op)
```
    Execute and return the result from an accumulation
    
    Parameters:
    
    op - the operation to execute
    
    Returns:
    
    the accumulated result
  - execAndReturn
```
Variance execAndReturn(Variance op)
```
    Execute and return the result from an accumulation
    
    Parameters:
    
    op - the operation to execute
    
    Returns:
    
    the accumulated result
  - execAndReturn
```
IndexAccumulation execAndReturn(IndexAccumulation op)
```
    Execute and return the result from an index accumulation
    
    Parameters:
    
    op - the index accumulation operation to execute
    
    Returns:
    
    the accumulated index
  - execAndReturn
```
ScalarOp execAndReturn(ScalarOp op)
```
    Execute and return the result from a scalar op
    
    Parameters:
    
    op - the operation to execute
    
    Returns:
    
    the accumulated result
  - execAndReturn
```
BroadcastOp execAndReturn(BroadcastOp op)
```
    Execute and return the result from a vector op
    
    Parameters:
    
    op -
  - exec
```
INDArray exec(ReduceOp reduceOp)
```
    Execute a reduceOp, possibly along one or more dimensions
    
    Parameters:
    
    reduceOp - the reduceOp
    
    Returns:
    
    the reduceOp op
  - exec
```
INDArray exec(BroadcastOp broadcast)
```
    Execute a broadcast op, possibly along one or more dimensions
    
    Parameters:
    
    broadcast - the accumulation
    
    Returns:
    
    the broadcast op
  - exec
```
INDArray exec(ScalarOp broadcast)
```
    Execute ScalarOp
    
    Parameters:
    
    broadcast -
    
    Returns:
  - exec
```
INDArray exec(Variance accumulation)
```
    Execute an variance accumulation op, possibly along one or more dimensions
    
    Parameters:
    
    accumulation - the accumulation
    
    Returns:
    
    the accmulation op
  - exec
```
INDArray exec(IndexAccumulation indexAccum)
```
    Execute an index accumulation along one or more dimensions
    
    Parameters:
    
    indexAccum - the index accumulation operation
    
    Returns:
    
    result
  - execAndReturn
```
Op execAndReturn(Op op)
```
    Execute and return a result ndarray from the given op
    
    Parameters:
    
    op - the operation to execute
    
    Returns:
    
    the result from the operation
  - exec
```
void exec(MetaOp op)
```
    Execute MetaOp
    
    Parameters:
    
    op -
  - exec
```
void exec(GridOp op)
```
    Execute GridOp
    
    Parameters:
    
    op -
  - exec
```
void exec(Aggregate op)
```
    Parameters:
    
    op -
  - exec
```
<T extends Aggregate> void exec(Batch<T> batch)
```
    This method executes previously built batch
    
    Parameters:
    
    batch -
  - exec
```
void exec(List<Aggregate> batch)
```
    This method takes arbitrary sized list of aggregates, and packs them into batches
    
    Parameters:
    
    batch -
  - exec
```
INDArray exec(RandomOp op)
```
    This method executes specified RandomOp using default RNG available via Nd4j.getRandom()
    
    Parameters:
    
    op -
  - exec
```
INDArray exec(RandomOp op,
              Random rng)
```
    This method executes specific RandomOp against specified RNG
    
    Parameters:
    
    op -
    
    rng -
  - getEnvironmentInformation
```
Properties getEnvironmentInformation()
```
    This method return set of key/value and key/key/value objects, describing current environment
    
    Returns:
  - setProfilingMode
```
@Deprecated
void setProfilingMode(OpExecutioner.ProfilingMode mode)
```
    Deprecated.
    
    This method specifies desired profiling mode
    
    Parameters:
    
    mode -
  - setProfilingConfig
```
void setProfilingConfig(ProfilerConfig config)
```
    This method stores specified configuration.
    
    Parameters:
    
    config -
  - getProfilingMode
```
@Deprecated
OpExecutioner.ProfilingMode getProfilingMode()
```
    Deprecated.
    
    Ths method returns current profiling
    
    Returns:
  - getTADManager
```
TADManager getTADManager()
```
    This method returns TADManager instance used for this OpExecutioner
    
    Returns:
  - printEnvironmentInformation
```
void printEnvironmentInformation()
```
    This method prints out environmental information returned by getEnvironmentInformation() method
  - push
```
void push()
```
    This method ensures all operations that supposed to be executed at this moment, are executed.
  - commit
```
void commit()
```
    This method ensures all operations that supposed to be executed at this moment, are executed and finished.
  - thresholdEncode
```
INDArray thresholdEncode(INDArray input,
                         double threshold)
```
    This method encodes array as thresholds, updating input array at the same time
    
    Parameters:
    
    input -
    
    Returns:
    
    encoded array is returned
  - thresholdEncode
```
INDArray thresholdEncode(INDArray input,
                         double threshold,
                         Integer boundary)
```
    This method encodes array as thresholds, updating input array at the same time
    
    Parameters:
    
    input -
    
    Returns:
    
    encoded array is returned
  - thresholdDecode
```
INDArray thresholdDecode(INDArray encoded,
                         INDArray target)
```
    This method decodes thresholds array, and puts it into target array
    
    Parameters:
    
    encoded -
    
    target -
    
    Returns:
    
    target is returned
  - bitmapEncode
```
long bitmapEncode(INDArray indArray,
                  INDArray target,
                  double threshold)
```
    This method returns number of elements affected by encoder
    
    Parameters:
    
    indArray -
    
    target -
    
    threshold -
    
    Returns:
  - bitmapEncode
```
INDArray bitmapEncode(INDArray indArray,
                      double threshold)
```
    Parameters:
    
    indArray -
    
    threshold -
    
    Returns:
  - bitmapDecode
```
INDArray bitmapDecode(INDArray encoded,
                      INDArray target)
```
    Parameters:
    
    encoded -
    
    target -
    
    Returns:
  - getCustomOperations
```
Map<String,CustomOpDescriptor> getCustomOperations()
```
    This method returns names of all custom operations available in current backend, and their number of input/output arguments
    
    Returns:
  - execAndReturn
```
CustomOp execAndReturn(CustomOp op)
```
    This method executes given CustomOp PLEASE NOTE: You're responsible for input/output validation
    
    Parameters:
    
    op -
  - exec
```
INDArray[] exec(CustomOp op)
```
  - exec
```
INDArray[] exec(CustomOp op,
                OpContext context)
```
    This method executes op with given context
    
    Parameters:
    
    op -
    
    context -
    
    Returns:
    
    method returns output arrays defined within context
  - calculateOutputShape
```
List<LongShapeDescriptor> calculateOutputShape(CustomOp op)
```
  - calculateOutputShape
```
List<LongShapeDescriptor> calculateOutputShape(CustomOp op,
                                               OpContext opContext)
```
  - allocateOutputArrays
```
INDArray[] allocateOutputArrays(CustomOp op)
```
    Equivalent to calli
  - enableDebugMode
```
void enableDebugMode(boolean reallyEnable)
```
  - enableVerboseMode
```
void enableVerboseMode(boolean reallyEnable)
```
  - isExperimentalMode
```
boolean isExperimentalMode()
```
  - registerGraph
```
void registerGraph(long id,
                   org.bytedeco.javacpp.Pointer graph)
```
  - executeGraph
```
Map<String,INDArray> executeGraph(long id,
                                        Map<String,INDArray> map,
                                        Map<String,Integer> reverseMap)
```
  - forgetGraph
```
void forgetGraph(long id)
```
  - setElementsThreshold
```
void setElementsThreshold(int threshold)
```
    This method allows to set desired number of elements per thread, for performance optimization purposes. I.e. if array contains 2048 elements, and threshold is set to 1024, 2 threads will be used for given op execution. Default value: 1024
    
    Parameters:
    
    threshold -
  - setTadThreshold
```
void setTadThreshold(int threshold)
```
    This method allows to set desired number of sub-arrays per thread, for performance optimization purposes. I.e. if matrix has shape of 64 x 128, and threshold is set to 8, each thread will be processing 8 sub-arrays (sure, if you have 8 core cpu). If your cpu has, say, 4, cores, only 4 threads will be spawned, and each will process 16 sub-arrays Default value: 8
    
    Parameters:
    
    threshold -
  - getString
```
String getString(DataBuffer buffer,
                 long index)
```
    This method extracts String from Utf8Buffer
    
    Parameters:
    
    buffer -
    
    index -
    
    Returns:
  - scatterUpdate
```
@Deprecated
void scatterUpdate(ScatterUpdate.UpdateOp op,
                   @NonNull
                   @NonNull INDArray array,
                   @NonNull
                   @NonNull INDArray indices,
                   @NonNull
                   @NonNull INDArray updates,
                   int[] axis)
```
    Deprecated.
    
    Temporary hook
    
    Parameters:
    
    op -
    
    array -
    
    indices -
    
    updates -
    
    axis -
  - buildContext
```
OpContext buildContext()
```
    This method returns OpContext which can be used (and reused) to execute custom ops
    
    Returns:
  - inspectArray
```
INDArrayStatistics inspectArray(INDArray array)
```
    Parameters:
    
    array -
  - createShapeInfo
```
DataBuffer createShapeInfo(long[] shape,
                           long[] stride,
                           long elementWiseStride,
                           char order,
                           DataType dtype,
                           boolean empty)
```
    This method returns shapeInfo DataBuffer
    
    Parameters:
    
    shape -
    
    stride -
    
    elementWiseStride -
    
    order -
    
    dtype -
    
    Returns:
  - createShapeInfo
```
DataBuffer createShapeInfo(long[] shape,
                           long[] stride,
                           long elementWiseStride,
                           char order,
                           DataType dtype,
                           long extra)
```
  - tadShapeInfoAndOffsets
```
TadPack tadShapeInfoAndOffsets(INDArray array,
                               int[] dimension)
```
    This method returns host/device tad buffers
  - createConstantBuffer
```
DataBuffer createConstantBuffer(long[] values,
                                DataType desiredType)
```
    This method returns constant buffer for the given jvm array
    
    Parameters:
    
    values -
    
    Returns:
  - createConstantBuffer
```
DataBuffer createConstantBuffer(int[] values,
                                DataType desiredType)
```
  - createConstantBuffer
```
DataBuffer createConstantBuffer(float[] values,
                                DataType desiredType)
```
  - createConstantBuffer
```
DataBuffer createConstantBuffer(double[] values,
                                DataType desiredType)
```
  - useCount
```
int useCount(DataBuffer buffer)
```
    This method returns reference use count from the Buffer
    
    Parameters:
    
    buffer -
    
    Returns:

Modifier and Type	Interface	Description
`static class`	`OpExecutioner.ExecutionerType`
`static class`	`OpExecutioner.ProfilingMode`

Interface OpExecutioner

Nested Class Summary

Method Summary

Method Detail

isVerbose

isDebug

type

getLastOp

exec

exec

execAndReturn

execAndReturn

execAndReturn

execAndReturn

execAndReturn

execAndReturn

exec

exec

exec

exec

exec

execAndReturn

exec

exec

exec

exec

exec

exec

exec

getEnvironmentInformation

setProfilingMode

setProfilingConfig

getProfilingMode

getTADManager

printEnvironmentInformation

push

commit

thresholdEncode

thresholdEncode

thresholdDecode

bitmapEncode

bitmapEncode

bitmapDecode

getCustomOperations

execAndReturn

exec

exec

calculateOutputShape

calculateOutputShape

allocateOutputArrays

enableDebugMode

enableVerboseMode

isExperimentalMode

registerGraph

executeGraph

forgetGraph

setElementsThreshold

setTadThreshold

getString

scatterUpdate

buildContext

inspectArray

createShapeInfo

createShapeInfo

tadShapeInfoAndOffsets

createConstantBuffer

createConstantBuffer

createConstantBuffer

createConstantBuffer

useCount