本文整理了Java中org.nd4j.linalg.factory.Nd4j.createComplexNumber()方法的一些代码示例，展示了Nd4j.createComplexNumber()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Nd4j.createComplexNumber()方法的具体详情如下：
包路径：org.nd4j.linalg.factory.Nd4j
类名称：Nd4j
方法名：createComplexNumber

Nd4j.createComplexNumber介绍

[英]Create double based on real and imaginary
[中]根据真实和想象创造双重形象

代码示例

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create complex number where the
 * @param realComponents the real components for the complex
 * @return the complex numbers based on the given real components
 */
public static IComplexNumber[] complexNumbersFor(float[] realComponents) {
  IComplexNumber[] ret = new IComplexNumber[realComponents.length];
  for (int i = 0; i < realComponents.length; i++)
    ret[i] = Nd4j.createComplexNumber(realComponents[i], 0);
  return ret;
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create complex number where the
 * @param realComponents the real components for the complex
 * @return the complex numbers based on the given real components
 */
public static IComplexNumber[][] complexNumbersFor(double[][] realComponents) {
  IComplexNumber[][] ret = new IComplexNumber[realComponents.length][realComponents[0].length];
  for (int i = 0; i < realComponents.length; i++)
    for (int j = 0; j < realComponents[i].length; j++)
      ret[i][j] = Nd4j.createComplexNumber(realComponents[i][j], 0);
  return ret;
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create complex number where the
 * @param realComponents the real components for the complex
 * @return the complex numbers based on the given real components
 */
public static IComplexNumber[][] complexNumbersFor(float[][] realComponents) {
  IComplexNumber[][] ret = new IComplexNumber[realComponents.length][realComponents[0].length];
  for (int i = 0; i < realComponents.length; i++)
    for (int j = 0; j < realComponents[i].length; j++)
      ret[i][j] = Nd4j.createComplexNumber(realComponents[i][j], 0);
  return ret;
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create complex number where the
 * @param realComponents the real components for the complex
 * @return the complex numbers based on the given real components
 */
public static IComplexNumber[] complexNumbersFor(double[] realComponents) {
  IComplexNumber[] ret = new IComplexNumber[realComponents.length];
  for (int i = 0; i < realComponents.length; i++)
    ret[i] = Nd4j.createComplexNumber(realComponents[i], 0);
  return ret;
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseCondition(Number value) {
  this.value = value;
  this.complexNumber = Nd4j.createComplexNumber(value, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNumber zeroComplex() {
  return Nd4j.createComplexNumber(Double.MAX_VALUE, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNumber zeroComplex() {
  return Nd4j.createComplexNumber(-Double.MAX_VALUE, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNumber zeroComplex() {
  return Nd4j.createComplexNumber(0, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNumber zeroComplex() {
  return Nd4j.createComplexNumber(0, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNumber zeroComplex() {
  return Nd4j.createComplexNumber(-Double.MAX_VALUE, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNumber zeroComplex() {
  return Nd4j.createComplexNumber(0.0, 0.0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Parse a complex number
 * @param val the string to parse
 * @return the parsed complex number
 */
public static IComplexNumber parseComplexNumber(String val) {
  // real + " - " + (-imag) + "i"
  String[] split = val.split(" ");
  double real = Double.valueOf(split[0]);
  char op = split[1].charAt(0);
  //grab all but the i
  double imag = Double.valueOf(split[2].substring(0, split[2].length() - 1));
  return Nd4j.createComplexNumber(real, op == '-' ? -imag : imag);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray putScalar(int[] indexes, IComplexNumber complexNumber) {
  /* int ix = offset;
  for (int i = 0; i < shape.length; i++) {
    if(indexes[i] >= size(i))
      throw new IllegalArgumentException("Illegal index " + i + " size at this index is " + size(i));
    ix += indexes[i] * stride[i];
  }
  
  data.put(ix, complexNumber.asFloat().realComponent().doubleValue());
  data.put(ix + 1, complexNumber.asFloat().imaginaryComponent().doubleValue());
  
  return this;*/
  throw new UnsupportedOperationException();
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray neqi(Number other) {
  IComplexNDArray linear = linearView();
  double otherVal = other.doubleValue();
  for (int i = 0; i < linear.length(); i++) {
    linear.putScalar(i, linear.getComplex(i).absoluteValue().doubleValue() != otherVal
            ? Nd4j.createComplexNumber(1, 0) : Nd4j.createComplexNumber(0, 0));
  }
  return this;
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray gti(Number other) {
  IComplexNDArray linear = linearView();
  double val = other.doubleValue();
  for (int i = 0; i < linear.length(); i++) {
    linear.putScalar(i, linear.getComplex(i).absoluteValue().doubleValue() > val
            ? Nd4j.createComplexNumber(1, 0) : Nd4j.createComplexNumber(0, 0));
  }
  return this;
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray lti(Number other) {
  IComplexNDArray linear = linearView();
  double val = other.doubleValue();
  for (int i = 0; i < linear.length(); i++) {
    linear.putScalar(i, linear.getComplex(i).absoluteValue().doubleValue() < val
            ? Nd4j.createComplexNumber(1, 0) : Nd4j.createComplexNumber(0, 0));
  }
  return this;
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray eqi(Number other) {
  IComplexNDArray linear = linearView();
  double val = other.doubleValue();
  for (int i = 0; i < linear.length(); i++) {
    linear.putScalar(i, linear.getComplex(i).absoluteValue().doubleValue() == val
            ? Nd4j.createComplexNumber(1, 0) : Nd4j.createComplexNumber(0, 0));
  }
  return this;
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray lti(INDArray other) {
  if (other instanceof IComplexNDArray) {
    IComplexNDArray linear = linearView();
    IComplexNDArray otherLinear = (IComplexNDArray) other.linearView();
    for (int i = 0; i < linear.length(); i++) {
      linear.putScalar(i,
              linear.getComplex(i).absoluteValue().doubleValue() < otherLinear.getComplex(i)
                      .absoluteValue().doubleValue() ? Nd4j.createComplexNumber(1, 0)
                              : Nd4j.createComplexNumber(0, 0));
    }
  } else {
    IComplexNDArray linear = linearView();
    INDArray otherLinear = other.linearView();
    for (int i = 0; i < linear.length(); i++) {
      linear.putScalar(i, linear.getComplex(i).absoluteValue().doubleValue() < otherLinear.getDouble(i)
              ? Nd4j.createComplexNumber(1, 0) : Nd4j.createComplexNumber(0, 0));
    }
  }
  return this;
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public IComplexNDArray condi(Condition condition) {
  IComplexNDArray linear = linearView();
  for (int i = 0; i < length(); i++) {
    boolean met = condition.apply(linear.getComplex(i));
    IComplexNumber put = Nd4j.createComplexNumber(met ? 1 : 0, 0);
    linear.putScalar(i, put);
  }
  return this;
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param real
 */
protected void copyFromReal(INDArray real) {
  if (!Shape.shapeEquals(shape(), real.shape()))
    throw new IllegalStateException("Unable to copy array. Not the same shape");
  INDArray linear = real.linearView();
  IComplexNDArray thisLinear = linearView();
  for (int i = 0; i < linear.length(); i++) {
    thisLinear.putScalar(i, Nd4j.createComplexNumber(linear.getDouble(i), 0.0));
  }
}