本文整理了Java中org.nd4j.linalg.factory.Nd4j.getComplexStrides()方法的一些代码示例，展示了Nd4j.getComplexStrides()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.getComplexStrides()方法的具体详情如下：
包路径：org.nd4j.linalg.factory.Nd4j
类名称：Nd4j
方法名：getComplexStrides

Nd4j.getComplexStrides介绍

[英]Get the strides based on the shape and NDArrays.order()
[中]根据形状和路线获得步幅。订单（）

代码示例

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create an ndarray from the specified slices
 * and the given shape
 *
 * @param slices   the slices of the ndarray
 * @param shape    the final shape of the ndarray
 * @param ordering the ordering of the ndarray
 */
public BaseComplexNDArray(List<IComplexNDArray> slices, int[] shape, char ordering) {
  this(slices, shape, Nd4j.getComplexStrides(shape, ordering), ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create this ndarray with the given data and shape and 0 offset
 *
 * @param data     the data to use
 * @param shape    the shape of the ndarray
 * @param ordering
 */
public BaseComplexNDArray(float[] data, int[] shape, char ordering) {
  this(data, shape, Nd4j.getComplexStrides(shape, ordering), 0, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param data
 * @param shape
 * @param offset
 * @param ordering
 */
public BaseComplexNDArray(IComplexNumber[] data, int[] shape, long offset, char ordering) {
  this(data, shape, Nd4j.getComplexStrides(shape), offset, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param buffer
 * @param shape
 * @param offset
 * @param ordering
 */
public BaseComplexNDArray(DataBuffer buffer, int[] shape, long offset, char ordering) {
  this(buffer, shape, Nd4j.getComplexStrides(shape), offset, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
protected int[] getStrides(int[] shape, char ordering) {
  return Nd4j.getComplexStrides(shape, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param buffer
 * @param shape
 * @param offset
 */
public BaseComplexNDArray(DataBuffer buffer, int[] shape, long offset) {
  this(buffer, shape, Nd4j.getComplexStrides(shape), offset, Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Creates a complex ndarray with the specified shape
 *
 * @param shape the shape of the ndarray
 * @return the instance
 */
@Override
public IComplexNDArray createComplex(int[] shape) {
  return createComplex(shape, Nd4j.getComplexStrides(shape), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Get the strides based on the shape
 * and NDArrays.order()
 *
 * @param shape the shape of the ndarray
 * @return the strides for the given shape
 * and order specified by NDArrays.order()
 */
public static int[] getComplexStrides(int[] shape) {
  return getComplexStrides(shape, Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

public static long[] getComplexStrides(long[] shape) {
  return getComplexStrides(shape, Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create an ndrray with the specified shape
 *
 * @param data  the data to use with tne ndarray
 * @param shape the shape of the ndarray
 * @return the created ndarray
 */
@Override
public IComplexNDArray createComplex(double[] data, int[] shape) {
  //ensure shapes that wind up being scalar end up with the write shape
  if (shape.length == 1 && shape[0] == 0) {
    shape = new int[] {1, 1};
  }
  return createComplex(data, shape, Nd4j.getComplexStrides(shape), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create an ndrray with the specified shape
 *
 * @param data  the data to use with tne ndarray
 * @param shape the shape of the ndarray
 * @return the created ndarray
 */
@Override
public IComplexNDArray createComplex(float[] data, int[] shape) {
  //ensure shapes that wind up being scalar end up with the write shape
  if (shape.length == 1 && shape[0] == 0) {
    shape = new int[] {1, 1};
  }
  return createComplex(data, shape, Nd4j.getComplexStrides(shape), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Creates an ndarray with the specified data
 *
 * @param data the number of columns in the row vector
 * @return ndarray
 */
public static IComplexNDArray createComplex(double[] data, char order) {
  IComplexNDArray ret = INSTANCE.createComplex(data, Nd4j.getComplexStrides(new int[] {1, data.length}, order), 0,
      order);
  logCreationIfNecessary(ret);
  return ret;
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param shape
 * @param offset
 * @param ordering
 */
public BaseComplexNDArray(int[] shape, long offset, char ordering) {
  this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape, ordering), offset,
          ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param shape
 */
public BaseComplexNDArray(int[] shape) {
  this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape));
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseComplexNDArray(int[] shape, char ordering) {
  this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape, ordering), 0,
          ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseComplexNDArray(long[] shape, char ordering) {
  this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape, ordering), 0,
      ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Creates an ndarray
 *
 * @param columns the number of columns in the row vector
 * @return ndarray
 */
public static IComplexNDArray createComplex(int columns, char order) {
  int[] shape = new int[] {1, columns};
  IComplexNDArray ret =
      INSTANCE.createComplex(new int[] {1, columns}, Nd4j.getComplexStrides(shape, order), 0, order);
  logCreationIfNecessary(ret);
  return ret;
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
protected IComplexNDArray create(int[] shape) {
  return Nd4j.createComplex(shape, Nd4j.getComplexStrides(shape, ordering()), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseComplexNDArray(long[] shape) {
  this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape));
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Creates a complex ndarray with the specified shape
 *
 * @param rows    the rows of the ndarray
 * @param columns the columns of the ndarray
 * @return the instance
 */
public static IComplexNDArray createComplex(int rows, int columns, char ordering) {
  int[] shape = getEnsuredShape(rows, columns);
  checkShapeValues(shape);
  IComplexNDArray ret = INSTANCE.createComplex(shape, Nd4j.getComplexStrides(shape, ordering), 0, ordering);
  logCreationIfNecessary(ret);
  return ret;
}