com.tencent.angel.spark.ml.psf.embedding.w2v.EmbeddingModel Maven / Gradle / Ivy

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package com.tencent.angel.spark.ml.psf.embedding.w2v;

import io.netty.buffer.ByteBuf;
import it.unimi.dsi.fastutil.ints.Int2IntOpenHashMap;

abstract class EmbeddingModel {

  protected int dim;
  protected int negative;
  protected int window;
  protected int seed;
  protected int maxIndex;

  protected int numNodeOneRow;
  protected int maxLength;

  protected float[][] layers;

  protected int numInputsToUpdate;
  protected int numOutputsToUpdate;

  public EmbeddingModel(int dim, int negative, int window, int seed, int maxIndex, int numNodeOneRow, int maxLength, float[][] layers) {
    this.dim = dim;
    this.negative = negative;
    this.window = window;
    this.seed = seed;
    this.maxIndex = maxIndex;
    this.numNodeOneRow = numNodeOneRow;
    this.maxLength = maxLength;
    this.layers = layers;
  }

  abstract public float[] dot(int[][] sentences);

  abstract public void adjust(int[][] sentences, ByteBuf buf, int numInput, int numOutput);

  protected void merge(float[] inputs, Int2IntOpenHashMap inputIndex, int node, float[] update, float g, int idx) {
    int start = inputIndex.get(node);
    if (!inputIndex.containsKey(node)) {
      start = inputIndex.size();
      inputIndex.put(node, start);
    }

    int offset = start * dim;
    for (int c = 0; c < dim; c++) inputs[offset + c] += g * update[c + idx];
  }

  public int getNumInputsToUpdate() {
    return numInputsToUpdate;
  }

  public int getNumOutputsToUpdate() {
    return numOutputsToUpdate;
  }
}