org.nd4j.linalg.api.ops.aggregates.BaseAggregate Maven / Gradle / Ivy

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package org.nd4j.linalg.api.ops.aggregates;

import org.bytedeco.javacpp.Pointer;
import org.bytedeco.javacpp.PointerPointer;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

import java.util.ArrayList;
import java.util.List;

/**
 * @author [email protected]
 */
public abstract class BaseAggregate implements Aggregate {
    protected List arguments = new ArrayList<>();
    protected List shapes = new ArrayList<>();
    protected List intArrayArguments = new ArrayList<>();
    protected List indexingArguments = new ArrayList<>();
    protected List realArguments = new ArrayList<>();

    protected Number finalResult = 0.0;

    public List getArguments() {
        return arguments;
    }

    @Override
    public Number getFinalResult() {
        return finalResult;
    }

    @Override
    public void setFinalResult(Number result) {
        this.finalResult = result;
    }

    @Override
    public List getShapes() {
        return shapes;
    }

    @Override
    public List getIndexingArguments() {
        return indexingArguments;
    }

    @Override
    public List getRealArguments() {
        return realArguments;
    }

    @Override
    public List getIntArrayArguments() {
        return intArrayArguments;
    }

    @Override
    public long getRequiredBatchMemorySize() {
        long result = maxIntArrays() * maxIntArraySize() * 4;
        result += maxArguments() * 8; // pointers
        result += maxShapes() * 8; // pointers
        result += maxIndexArguments() * 4;
        result += maxRealArguments() * (Nd4j.dataType() == DataBuffer.Type.DOUBLE ? 8 : Nd4j.dataType() == DataBuffer.Type.FLOAT ? 4 : 2);
        result += 5 * 4; // numArgs

        return result * Batch.getBatchLimit();
    }
}