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

Nd4j.getShapeInfoProvider介绍

暂无

代码示例

代码示例来源：origin: deeplearning4j/nd4j

@Override
public void setShapeAndStride(int[] shape, int[] stride) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, 0, -1, ordering()));
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseNDArray(float[] data, long[] shape, long[] stride, long offset, char ordering) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, offset,
      Shape.elementWiseStride(shape, stride, ordering == 'f'), ordering));
  if (data != null && data.length > 0) {
    this.data = Nd4j.createBuffer(data, offset);
    if (offset >= data.length)
      throw new IllegalArgumentException("invalid offset: must be < data.length");
  }
  init(shape, stride);
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseNDArray(double[] data, long[] shape, long[] stride, long offset, char ordering) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, offset,
      Shape.elementWiseStride(shape, stride, ordering == 'f'), ordering));
  if (data != null && data.length > 0) {
    this.data = Nd4j.createBuffer(data, offset);
    if (offset >= data.length)
      throw new IllegalArgumentException("invalid offset: must be < data.length");
  }
  init(shape, stride);
}

代码示例来源：origin: deeplearning4j/nd4j

private static DataBuffer getIm2ColShape(INDArray img, int kernelHeight, int kernelWidth, int outHeight, int outWidth) {
  //number of images
  long n = img.size(0);
  //number of channels (depth)
  long c = img.size(1);
  return Nd4j.getShapeInfoProvider().createShapeInformation(new long[] {n, c,  kernelHeight, kernelWidth, outHeight, outWidth}, 'c').getFirst();
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public void setShape(long[] shape) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride(), 0, elementWiseStride(), ordering()));
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public void setOrder(char order) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape(), stride(), 0,
      elementWiseStride(), order));
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param buffer
 */
public BaseNDArray(DataBuffer buffer) {
  this.data = buffer;
  if (buffer.length() >= Integer.MAX_VALUE)
    throw new IllegalArgumentException("Length of buffer can not be >= Integer.MAX_VALUE");
  int[] shape = {1, (int) buffer.length()};
  int[] stride = Nd4j.getStrides(shape);
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, 0, 1, Nd4j.order()));
  init(shape, stride);
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public void setStride(long[] stride) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape(), stride, 0, elementWiseStride(), ordering()));
}

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);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * This method creates compressed INDArray from Java double array, skipping usual INDArray instantiation routines
 *
 * @param data
 * @param shape
 * @param order
 * @return
 */
@Override
public INDArray compress(double[] data, int[] shape, char order) {
  DoublePointer pointer = new DoublePointer(data);
  DataBuffer shapeInfo = Nd4j.getShapeInfoProvider().createShapeInformation(shape, order).getFirst();
  DataBuffer buffer = compressPointer(DataBuffer.TypeEx.DOUBLE, pointer, data.length, 8);
  return Nd4j.createArrayFromShapeBuffer(buffer, shapeInfo);
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseSparseNDArrayCOO(DataBuffer values, DataBuffer indices, DataBuffer sparseInformation, int[] shape) {
  this.values = Nd4j.createBuffer(values, 0, values.length());
  this.indices = indices;
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape));
  init(shape);
  this.sparseInformation = sparseInformation;
  this.length = countNNZ();
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseNDArray(DataBuffer buffer, long[] shape, long[] stride, long offset, char ordering) {
  this.data = offset > 0 ? Nd4j.createBuffer(buffer, offset, ArrayUtil.prodLong(shape)) : buffer;
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, offset,
      Shape.elementWiseStride(shape, stride, ordering == 'f'), ordering));
  init(shape, stride);
  // Shape.setElementWiseStride(this.shapeInfo(),Shape.elementWiseStride(shape, stride, ordering == 'f'));
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public void setStride(int[] stride) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape(), ArrayUtil.toLongArray(stride), 0, elementWiseStride(), ordering()));
}

代码示例来源：origin: deeplearning4j/nd4j

@Override
public void setShape(int[] shape) {
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(ArrayUtil.toLongArray(shape), stride(), 0, elementWiseStride(), ordering()));
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Creates a new <i>n</i> times <i>m</i> <tt>DoubleMatrix</tt>.
 *
 * @param newRows    the number of rows (<i>n</i>) of the new matrix.
 * @param newColumns the number of columns (<i>m</i>) of the new matrix.
 */
public BaseNDArray(int newRows, int newColumns, char ordering) {
  this.data = Nd4j.createBuffer((long) newRows * newColumns);
  int[] shape = new int[] {newRows, newColumns};
  int[] stride = Nd4j.getStrides(shape, ordering);
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, 0,
      Shape.elementWiseStride(shape, stride, ordering == 'f'), ordering));
  init(shape, stride);
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param buffer
 * @param shape
 * @param stride
 * @param offset
 * @param ordering
 */
public BaseNDArray(DataBuffer buffer, int[] shape, int[] stride, long offset, char ordering) {
  this.data = offset > 0 ? Nd4j.createBuffer(buffer, offset, ArrayUtil.prodLong(shape)) : buffer;
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, offset,
      Shape.elementWiseStride(shape, stride, ordering == 'f'), ordering));
  init(shape, stride);
  // Shape.setElementWiseStride(this.shapeInfo(),Shape.elementWiseStride(shape, stride, ordering == 'f'));
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 *
 * @param data
 * @param shape
 * @param stride
 * @param offset
 */
public BaseNDArray(DataBuffer data, int[] shape, int[] stride, long offset) {
  this.data = Nd4j.createBuffer(data, offset, ArrayUtil.prodLong(shape));
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape, stride, offset, Shape.elementWiseStride(shape, stride, Nd4j.order() == 'f'), Nd4j.order()));
  init(shape, stride);
  //  Shape.setElementWiseStride(this.shapeInfo(),Shape.elementWiseStride(shape, stride, Nd4j.order() == 'f'));
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseSparseNDArrayCOO(float[] values, int[][] indices, int[] shape) {
  checkArgument(values.length == indices.length);
  checkArgument(values.length == 0 || indices[0].length == shape.length);
  this.values = Nd4j.createBuffer(values);
  this.indices = Nd4j.createBuffer(ArrayUtil.flatten(indices));
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape));
  init(shape);
  this.length = values.length;
  int[] flags = new int[rank()];
  long[] sparseOffsets = new long[rank()];
  int[] hiddenDimension = new int[] {-1};
  this.sparseInformation = Nd4j.getSparseInfoProvider().createSparseInformation(flags, sparseOffsets,
          hiddenDimension, rank());
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseSparseNDArrayCOO(DataBuffer values, DataBuffer indices, int[] shape) {
  checkArgument(values.length() * shape.length == indices.length());
  this.values = Nd4j.createBuffer(values, 0, values.length());
  this.indices = indices;
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape));
  init(shape);
  this.length = values.length();
  int[] flags = new int[rank()];
  long[] sparseOffsets = new long[rank()];
  int[] hiddenDimension = new int[] {-1};
  this.sparseInformation = Nd4j.getSparseInfoProvider().createSparseInformation(flags, sparseOffsets,
          hiddenDimension, rank());
}

代码示例来源：origin: deeplearning4j/nd4j

public BaseSparseNDArrayCSR(DataBuffer data, int[] columnsPointers, int[] pointerB, int[] pointerE, int[] shape) {
  checkArgument(pointerB.length == pointerE.length);
  setShapeInformation(Nd4j.getShapeInfoProvider().createShapeInformation(shape));
  init(shape);
  this.values = data;
  this.columnsPointers = Nd4j.getDataBufferFactory().createInt(data.length());
  this.columnsPointers.setData(columnsPointers);
  this.length = columnsPointers.length;
  // The size of these pointers are constant
  int pointersSpace = rows;
  this.pointerB = Nd4j.getDataBufferFactory().createInt(pointersSpace);
  this.pointerB.setData(pointerB);
  this.pointerE = Nd4j.getDataBufferFactory().createInt(pointersSpace);
  this.pointerE.setData(pointerE);
}