Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://www.apache.org/licenses/LICENSE-2.0
* *
* * Unless required by applicable law or agreed to in writing, software
* * distributed under the License is distributed on an "AS IS" BASIS,
* * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* * See the License for the specific language governing permissions and
* * limitations under the License.
*
*
*/
package org.nd4j.linalg.api.ops.executioner;
import org.bytedeco.javacpp.Pointer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.*;
import org.nd4j.linalg.api.ops.aggregates.Aggregate;
import org.nd4j.linalg.api.ops.aggregates.Batch;
import org.nd4j.linalg.api.ops.impl.accum.Variance;
import org.nd4j.linalg.api.rng.Random;
import org.nd4j.linalg.cache.TADManager;
import java.util.List;
import java.util.Map;
import java.util.Properties;
/**
* An operation executioner handles storage specific details of
* executing an operation
*
* @author Adam Gibson
*/
public interface OpExecutioner {
enum ExecutionMode {
JAVA, NATIVE
}
enum ProfilingMode {
DISABLED,
NAN_PANIC,
INF_PANIC,
ANY_PANIC,
OPERATIONS,
METHODS,
ALL,
SCOPE_PANIC,
BANDWIDTH,
}
/**
* This method returns opName of the last invoked op
*
* @return
*/
String getLastOp();
/**
* Execute the operation
*
* @param op the operation to execute
*/
Op exec(Op op);
/**
* Iterate over every row of every slice
*
* @param op the operation to apply
*/
void iterateOverAllRows(Op op);
/**
* Iterate over every column of every slice
*
* @param op the operation to apply
*/
void iterateOverAllColumns(Op op);
/**Execute a TransformOp and return the result
* @param op the operation to execute
*/
INDArray execAndReturn(TransformOp op);
/**
* Execute and return the result from an accumulation
*
* @param op the operation to execute
* @return the accumulated result
*/
Accumulation execAndReturn(Accumulation op);
/**
* Execute and return the result from an accumulation
*
* @param op the operation to execute
* @return the accumulated result
*/
Accumulation execAndReturn(Variance op, boolean biasCorrected);
/**Execute and return the result from an index accumulation
* @param op the index accumulation operation to execute
* @return the accumulated index
*/
IndexAccumulation execAndReturn(IndexAccumulation op);
/**Execute and return the result from a scalar op
*
* @param op the operation to execute
* @return the accumulated result
*/
INDArray execAndReturn(ScalarOp op);
/** Execute and return the result from a vector op
* @param op*/
INDArray execAndReturn(BroadcastOp op);
/** Execute and return the result from a vector op
* @param op*/
INDArray execAndReturn(ShapeOp op);
/**Execute the operation along 1 or more dimensions
*
* @param op the operation to execute
*/
Op exec(Op op, int... dimension);
/**
* Execute an accumulation along one or more dimensions
* @param accumulation the accumulation
* @param dimension the dimension
* @return the accumulation op
*/
INDArray exec(Accumulation accumulation, int... dimension);
/**
* Execute an broadcast along one or more dimensions
* @param broadcast the accumulation
* @param dimension the dimension
* @return the broadcast op
*/
INDArray exec(BroadcastOp broadcast, int... dimension);
/**
* Execute an accumulation along one or more dimensions
* @param accumulation the accumulation
* @param dimension the dimension
* @return the accmulation op
*/
INDArray exec(Variance accumulation, boolean biasCorrected, int... dimension);
/** Execute an index accumulation along one or more dimensions
* @param indexAccum the index accumulation operation
* @param dimension the dimension/s to execute along
* @return result
*/
INDArray exec(IndexAccumulation indexAccum, int... dimension);
/**
*
* Execute and return a result
* ndarray from the given op
* @param op the operation to execute
* @return the result from the operation
*/
INDArray execAndReturn(Op op);
/**Get the execution mode for this
* executioner
* @return the execution mode for this executioner
*/
ExecutionMode executionMode();
/**Set the execution mode
* @param executionMode the execution mode
*/
void setExecutionMode(ExecutionMode executionMode);
/**
* Execute MetaOp
*
* @param op
*/
void exec(MetaOp op);
/**
* Execute GridOp
* @param op
*/
void exec(GridOp op);
/**
*
* @param op
*/
void exec(Aggregate op);
/**
*
* @param op
*/
void exec(ShapeOp op);
/**
* This method executes previously built batch
*
* @param batch
*/
void exec(Batch batch);
/**
* This method takes arbitrary sized list of aggregates,
* and packs them into batches
*
* @param batch
*/
void exec(List batch);
/**
* This method executes specified RandomOp using default RNG available via Nd4j.getRandom()
*
* @param op
*/
INDArray exec(RandomOp op);
/**
* This method executes specific RandomOp against specified RNG
*
* @param op
* @param rng
*/
INDArray exec(RandomOp op, Random rng);
/**
* This method return set of key/value and
* key/key/value objects,
* describing current environment
*
* @return
*/
Properties getEnvironmentInformation();
/**
* This method specifies desired profiling mode
*
* @param mode
*/
void setProfilingMode(ProfilingMode mode);
/**
* Ths method returns current profiling
*
* @return
*/
ProfilingMode getProfilingMode();
/**
* This method returns TADManager instance used for this OpExecutioner
*
* @return
*/
TADManager getTADManager();
/**
* This method prints out environmental information returned by getEnvironmentInformation() method
*/
void printEnvironmentInformation();
/**
* This method ensures all operations that supposed to be executed at this moment, are executed.
*/
void push();
/**
* This method ensures all operations that supposed to be executed at this moment, are executed and finished.
*/
void commit();
/**
* This method encodes array as thresholds, updating input array at the same time
*
* @param input
* @return encoded array is returned
*/
INDArray thresholdEncode(INDArray input, double threshold);
/**
* This method encodes array as thresholds, updating input array at the same time
*
* @param input
* @return encoded array is returned
*/
INDArray thresholdEncode(INDArray input, double threshold, Integer boundary);
/**
* This method decodes thresholds array, and puts it into target array
*
* @param encoded
* @param target
* @return target is returned
*/
INDArray thresholdDecode(INDArray encoded, INDArray target);
/**
* This method returns number of elements affected by encoder
* @param indArray
* @param target
* @param threshold
* @return
*/
long bitmapEncode(INDArray indArray, INDArray target, double threshold);
/**
*
* @param indArray
* @param threshold
* @return
*/
INDArray bitmapEncode(INDArray indArray, double threshold);
/**
*
* @param encoded
* @param target
* @return
*/
INDArray bitmapDecode(INDArray encoded, INDArray target);
/**
* This method returns names of all custom operations available in current backend, and their number of input/output arguments
* @return
*/
Map getCustomOperations();
/**
* This method executes given CustomOp
*
* PLEASE NOTE: You're responsible for input/output validation
* @param op
*/
void exec(CustomOp op);
List calculateOutputShape(CustomOp op);
void enableDebugMode(boolean reallyEnable);
void enableVerboseMode(boolean reallyEnable);
void registerGraph(long id, Pointer graph);
Map executeGraph(long id, Map map);
void forgetGraph(long id);
/**
* 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
*
* @param threshold
*/
void setElementsThreshold(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
* @param threshold
*/
void setTadThreshold(int threshold);
}
