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

Nd4j.getStrides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

/**
 * @param data     the data to use
 * @param shape    the shape of the ndarray
 * @param offset   the desired offset
 * @param ordering the ordering of the ndarray
 */
public BaseNDArray(float[] data, int[] shape, long offset, char ordering) {
  this(data, shape, Nd4j.getStrides(shape, ordering), offset);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Constructor for stride and offset
 *
 * @param buffer
 * @param shape
 * @param offset
 * @param ordering
 */
public BaseNDArray(DataBuffer buffer, int[] shape, long offset, char ordering) {
  this(buffer, shape, Nd4j.getStrides(shape, ordering), offset, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param shape
 * @param offset
 * @param ordering
 */
public BaseNDArray(int[] shape, long offset, char ordering) {
  this(shape, Nd4j.getStrides(shape, ordering), offset, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param shape
 * @param offset
 */
public BaseNDArray(int[] shape, long offset) {
  this(shape, Nd4j.getStrides(shape), offset);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create an ndarray from the specified slices.
 * This will go through and merge all of the
 * data from each slice in to one ndarray
 * which will then take the specified shape
 *
 * @param slices the slices to merge
 * @param shape  the shape of the ndarray
 */
public BaseNDArray(List<INDArray> slices, int[] shape, char ordering) {
  this(slices, shape, Nd4j.getStrides(shape, ordering), ordering);
}

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 INDArray create(double[] data, int[] shape) {
  return create(data, shape, Nd4j.getStrides(shape), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public INDArray create(float[] data, long[] shape) {
  //ensure shapes that wind up being scalar end up with the write shape
  if (shape.length == 1 && shape[0] == 0) {
    shape = new long[] {1, 1};
  }
  return create(data, shape, Nd4j.getStrides(shape), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public INDArray create(double[] data, long[] shape) {
  //ensure shapes that wind up being scalar end up with the write shape
  if (shape.length == 1 && shape[0] == 0) {
    shape = new long[] {1, 1};
  }
  return create(data, shape, Nd4j.getStrides(shape), 0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Create with the specified shape and buffer
 *
 * @param shape  the shape
 * @param buffer the buffer
 */
public BaseNDArray(int[] shape, DataBuffer buffer) {
  this.data = buffer;
  init(shape, Nd4j.getStrides(shape));
}

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[] getStrides(int[] shape) {
  return getStrides(shape, Nd4j.order());
}

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 long[] getStrides(long[] shape) {
  return getStrides(shape, Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Calculate the strides based on the given indices
 *
 * @param ordering the ordering to calculate strides for
 * @param indexes  the indices to calculate stride for
 * @return the strides for the given indices
 */
public static int[] strides(char ordering, NDArrayIndex... indexes) {
  return Nd4j.getStrides(shape(indexes), ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public INDArray create(double[] data, char order) {
  return create(data, new int[] {1, data.length}, Nd4j.getStrides(new int[] {1, data.length}, order), order, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Creates an ndarray with the specified shape
 *
 * @param shape the shape of the ndarray
 * @return the instance
 */
@Override
public INDArray create(long[] shape) {
  //ensure shapes that wind up being scalar end up with the write shape
  return create(shape, Nd4j.getStrides(shape), 0L);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public INDArray create(float[] data, char order) {
  int[] shape = new int[] {1, data.length};
  return create(Nd4j.createBuffer(data), shape, Nd4j.getStrides(shape, order), order, 0);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param data
 * @param shape
 */
public BaseNDArray(DataBuffer data, int[] shape) {
  this(data, shape, Nd4j.getStrides(shape, Nd4j.order()), 0, Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public INDArray create(float[] data, int[] shape, char ordering) {
  //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 create(Nd4j.createBuffer(data), shape, Nd4j.getStrides(shape, ordering), 0, ordering);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param floatBuffer
 * @param order
 */
public BaseNDArray(DataBuffer floatBuffer, char order) {
  this(floatBuffer, new int[] {(int) floatBuffer.length()},
      Nd4j.getStrides(new int[] {(int) floatBuffer.length()}, order), 0, order);
  if (floatBuffer.length() >= Integer.MAX_VALUE)
    throw new IllegalArgumentException("Length of buffer can not be >= Integer.MAX_VALUE");
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param buffer
 * @param shape
 * @param offset
 */
public BaseNDArray(DataBuffer buffer, int[] shape, long offset) {
  this(Nd4j.createBuffer(buffer, offset, ArrayUtil.prodLong(shape)), shape, Nd4j.getStrides(shape), offset,
      Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseNDArray(long newRows, long newColumns, char ordering) {
  this.data = Nd4j.createBuffer((long) newRows * newColumns);
  long[] shape = new long[] {newRows, newColumns};
  long[] stride = Nd4j.getStrides(shape, ordering);
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, 0,
      Shape.elementWiseStride(shape, stride, ordering == 'f'), ordering));
  init(shape, stride);
}