org.nd4j.linalg.factory.Nd4j.getComplexStrides()方法的使用及代码示例

x33g5p2x  于2022-01-24 转载在 其他  
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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

  1. /**
  2.  * Create an ndarray from the specified slices
  3.  * and the given shape
  4.  *
  5.  * @param slices   the slices of the ndarray
  6.  * @param shape    the final shape of the ndarray
  7.  * @param ordering the ordering of the ndarray
  8.  */
  9. public BaseComplexNDArray(List<IComplexNDArray> slices, int[] shape, char ordering) {
  10.   this(slices, shape, Nd4j.getComplexStrides(shape, ordering), ordering);
  11. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Create this ndarray with the given data and shape and 0 offset
  3.  *
  4.  * @param data     the data to use
  5.  * @param shape    the shape of the ndarray
  6.  * @param ordering
  7.  */
  8. public BaseComplexNDArray(float[] data, int[] shape, char ordering) {
  9.   this(data, shape, Nd4j.getComplexStrides(shape, ordering), 0, ordering);
  10. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  *
  3.  * @param data
  4.  * @param shape
  5.  * @param offset
  6.  * @param ordering
  7.  */
  8. public BaseComplexNDArray(IComplexNumber[] data, int[] shape, long offset, char ordering) {
  9.   this(data, shape, Nd4j.getComplexStrides(shape), offset, ordering);
  10. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  *
  3.  * @param buffer
  4.  * @param shape
  5.  * @param offset
  6.  * @param ordering
  7.  */
  8. public BaseComplexNDArray(DataBuffer buffer, int[] shape, long offset, char ordering) {
  9.   this(buffer, shape, Nd4j.getComplexStrides(shape), offset, ordering);
  10. }

代码示例来源：origin: deeplearning4j/nd4j

  1. @Override
  2. protected int[] getStrides(int[] shape, char ordering) {
  3.   return Nd4j.getComplexStrides(shape, ordering);
  4. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  *
  3.  * @param buffer
  4.  * @param shape
  5.  * @param offset
  6.  */
  7. public BaseComplexNDArray(DataBuffer buffer, int[] shape, long offset) {
  8.   this(buffer, shape, Nd4j.getComplexStrides(shape), offset, Nd4j.order());
  9. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Creates a complex ndarray with the specified shape
  3.  *
  4.  * @param shape the shape of the ndarray
  5.  * @return the instance
  6.  */
  7. @Override
  8. public IComplexNDArray createComplex(int[] shape) {
  9.   return createComplex(shape, Nd4j.getComplexStrides(shape), 0);
  10. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Get the strides based on the shape
  3.  * and NDArrays.order()
  4.  *
  5.  * @param shape the shape of the ndarray
  6.  * @return the strides for the given shape
  7.  * and order specified by NDArrays.order()
  8.  */
  9. public static int[] getComplexStrides(int[] shape) {
  10.   return getComplexStrides(shape, Nd4j.order());
  11. }

代码示例来源：origin: deeplearning4j/nd4j

  1. public static long[] getComplexStrides(long[] shape) {
  2.   return getComplexStrides(shape, Nd4j.order());
  3. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Create an ndrray with the specified shape
  3.  *
  4.  * @param data  the data to use with tne ndarray
  5.  * @param shape the shape of the ndarray
  6.  * @return the created ndarray
  7.  */
  8. @Override
  9. public IComplexNDArray createComplex(double[] data, int[] shape) {
  10.   //ensure shapes that wind up being scalar end up with the write shape
  11.   if (shape.length == 1 && shape[0] == 0) {
  12.     shape = new int[] {1, 1};
  13.   }
  14.   return createComplex(data, shape, Nd4j.getComplexStrides(shape), 0);
  15. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Create an ndrray with the specified shape
  3.  *
  4.  * @param data  the data to use with tne ndarray
  5.  * @param shape the shape of the ndarray
  6.  * @return the created ndarray
  7.  */
  8. @Override
  9. public IComplexNDArray createComplex(float[] data, int[] shape) {
  10.   //ensure shapes that wind up being scalar end up with the write shape
  11.   if (shape.length == 1 && shape[0] == 0) {
  12.     shape = new int[] {1, 1};
  13.   }
  14.   return createComplex(data, shape, Nd4j.getComplexStrides(shape), 0);
  15. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Creates an ndarray with the specified data
  3.  *
  4.  * @param data the number of columns in the row vector
  5.  * @return ndarray
  6.  */
  7. public static IComplexNDArray createComplex(double[] data, char order) {
  8.   IComplexNDArray ret = INSTANCE.createComplex(data, Nd4j.getComplexStrides(new int[] {1, data.length}, order), 0,
  9.       order);
  10.   logCreationIfNecessary(ret);
  11.   return ret;
  12. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  *
  3.  * @param shape
  4.  * @param offset
  5.  * @param ordering
  6.  */
  7. public BaseComplexNDArray(int[] shape, long offset, char ordering) {
  8.   this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape, ordering), offset,
  9.           ordering);
  10. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  *
  3.  * @param shape
  4.  */
  5. public BaseComplexNDArray(int[] shape) {
  6.   this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape));
  7. }

代码示例来源：origin: deeplearning4j/nd4j

  1. public BaseComplexNDArray(int[] shape, char ordering) {
  2.   this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape, ordering), 0,
  3.           ordering);
  4. }

代码示例来源：origin: deeplearning4j/nd4j

  1. public BaseComplexNDArray(long[] shape, char ordering) {
  2.   this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape, ordering), 0,
  3.       ordering);
  4. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Creates an ndarray
  3.  *
  4.  * @param columns the number of columns in the row vector
  5.  * @return ndarray
  6.  */
  7. public static IComplexNDArray createComplex(int columns, char order) {
  8.   int[] shape = new int[] {1, columns};
  9.   IComplexNDArray ret =
  10.       INSTANCE.createComplex(new int[] {1, columns}, Nd4j.getComplexStrides(shape, order), 0, order);
  11.   logCreationIfNecessary(ret);
  12.   return ret;
  13. }

代码示例来源：origin: deeplearning4j/nd4j

  1. @Override
  2. protected IComplexNDArray create(int[] shape) {
  3.   return Nd4j.createComplex(shape, Nd4j.getComplexStrides(shape, ordering()), 0);
  4. }

代码示例来源：origin: deeplearning4j/nd4j

  1. public BaseComplexNDArray(long[] shape) {
  2.   this(Nd4j.createBuffer(ArrayUtil.prodLong(shape) * 2), shape, Nd4j.getComplexStrides(shape));
  3. }

代码示例来源：origin: deeplearning4j/nd4j

  1. /**
  2.  * Creates a complex ndarray with the specified shape
  3.  *
  4.  * @param rows    the rows of the ndarray
  5.  * @param columns the columns of the ndarray
  6.  * @return the instance
  7.  */
  8. public static IComplexNDArray createComplex(int rows, int columns, char ordering) {
  9.   int[] shape = getEnsuredShape(rows, columns);
  10.   checkShapeValues(shape);
  11.   IComplexNDArray ret = INSTANCE.createComplex(shape, Nd4j.getComplexStrides(shape, ordering), 0, ordering);
  12.   logCreationIfNecessary(ret);
  13.   return ret;
  14. }

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