org.nd4j.linalg.api.ops.impl.transforms.convolution.Pooling2D Maven / Gradle / Ivy

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package org.nd4j.linalg.api.ops.impl.transforms.convolution;

import lombok.Getter;
import lombok.extern.slf4j.Slf4j;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.complex.IComplexNumber;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.Op;
import org.nd4j.linalg.convolution.Convolution;
import org.nd4j.linalg.factory.Nd4j;

import java.util.Arrays;


/**
 * Pooling2D operation
 */
@Slf4j
public class Pooling2D extends BaseTransformOp {
    public enum Pooling2DType {
        MAX, AVG, PNORM,
    }

    private int kh, kw, sy, sx, ph, pw;
    private Pooling2DType type;
    boolean isSameMode;
    double extra;
    @Getter protected DataBuffer im2colShape;

    public Pooling2D() {}
/*
    public Pooling2D(INDArray x, int kh, int kw, int sy, int sx, int ph, int pw, boolean isSameMode, Pooling2DType type) {
        this(x, kh, kw, sy, sx, ph, pw, isSameMode, type, getNewOutputArray(x, kh, kw, sy, sx, ph, pw, false));
    }
*/
    public Pooling2D(INDArray x, int kh, int kw, int sy, int sx, int ph, int pw, boolean isSameMode, Pooling2DType type, double extra,  int virtualHeight, int virtualWidth, INDArray z) {
        super(x);
        this.kh = kh;
        this.kw = kw;
        this.sy = sy;
        this.sx = sx;
        this.ph = ph;
        this.pw = pw;
        this.isSameMode = isSameMode;
        this.type = type;
        this.z = z;
        this.extra = extra;
        this.im2colShape = getNewOutputShape(x, kh, kw, sy, sx, ph, pw, virtualHeight, virtualWidth, false);
        extraArgs = this.extraArgs();
    }

    @Override
    public boolean isExecSpecial() {
        return true;
    }

    @Override
    public int opNum() {
        return 71;
    }

    @Override
    public String name() {
        return "pooling2d";
    }

    @Override
    public Object[] extraArgs() {
        return new Object[] {kw, kh, sx, sy, pw, ph, isSameMode ? 1.0 : 0.0, type.ordinal(), extra};
    }

    private static INDArray getNewOutputArray(INDArray img, int kernelHeight, int kernelWidth, int strideY, int strideX,
                                              int padHeight, int padWidth, boolean coverAll) {

        // FIXME!!!

        //number of images
        int n = img.size(0);
        //number of channels (depth)
        int c = img.size(1);
        //image height
        int h = img.size(2);
        //image width
        int w = img.size(3);
        int outHeight = Convolution.outSize(h, kernelHeight, strideY, padHeight, coverAll);
        int outWidth = Convolution.outSize(w, kernelWidth, strideX, padWidth, coverAll);

        return Nd4j.createUninitialized(new int[] {n, c, kernelHeight, kernelWidth, outHeight, outWidth}, 'c');
    }

    private static DataBuffer getNewOutputShape(INDArray img, int kernelHeight, int kernelWidth, int strideY, int strideX,
                                                int padHeight, int padWidth, int outHeight, int outWidth,  boolean coverAll) {
        //number of images
        int n = img.size(0);
        //number of channels (depth)
        int c = img.size(1);
        //image height
        int h = img.size(2);
        //image width
        int w = img.size(3);

        return Nd4j.getShapeInfoProvider().createShapeInformation(new int[] {n, c,  kernelHeight, kernelWidth, outHeight, outWidth}, 'c').getFirst();
    }

    @Override
    public IComplexNumber op(IComplexNumber origin, double other) {
        return null;
    }

    @Override
    public IComplexNumber op(IComplexNumber origin, float other) {
        return null;
    }

    @Override
    public IComplexNumber op(IComplexNumber origin, IComplexNumber other) {
        return null;
    }

    @Override
    public float op(float origin, float other) {
        return 0;
    }

    @Override
    public double op(double origin, double other) {
        return 0;
    }

    @Override
    public double op(double origin) {
        return 0;
    }

    @Override
    public float op(float origin) {
        return 0;
    }

    @Override
    public IComplexNumber op(IComplexNumber origin) {
        return null;
    }

    @Override
    public Op opForDimension(int index, int dimension) {
        return null;
    }

    @Override
    public Op opForDimension(int index, int... dimension) {
        return null;
    }
}