Module org.tensorflow.ndarray
Package org.tensorflow.ndarray.impl.sparse.slice

Class LongSparseSlice

    • Constructor Detail

      • LongSparseSlice

        public LongSparseSlice​(AbstractSparseNdArray<Long,​LongNdArray> source,
                       long sourcePosition,
                       DimensionalSpace dimensions)
        Creates a LongSparseSlice
        Parameters:
        source - the source Sparse Array that this object slices.
        sourcePosition - the relative source position into the source
        dimensions - the dimensional space for the window

    • Method Detail

      • getLong

        public long getLong​(long... coordinates)
        Description copied from interface: LongNdArray
        Returns the long value of the scalar found at the given coordinates.

        To access the scalar element, the number of coordinates provided must be equal to the number of dimensions of this array (i.e. its rank). For example: 

        
  LongNdArray matrix = NdArrays.ofLongs(shape(2, 2));  // matrix rank = 2
  matrix.getLong(0, 1);  // succeeds, returns 0L
  matrix.getLong(0);  // throws IllegalRankException

  LongNdArray scalar = matrix.get(0, 1);  // scalar rank = 0
  scalar.getLong();  // succeeds, returns 0L
        Specified by:
        getLong in interface LongNdArray
        Parameters:
        coordinates - coordinates of the scalar to resolve
        Returns:
        value of that scalar

      • setLong

        public LongNdArray setLong​(long value,
                           long... coordinates)
        Description copied from interface: LongNdArray
        Assigns the long value of the scalar found at the given coordinates.

        To access the scalar element, the number of coordinates provided must be equal to the number of dimensions of this array (i.e. its rank). For example: 

        
  LongNdArray matrix = NdArrays.ofLongs(shape(2, 2));  // matrix rank = 2
  matrix.setLong(10L, 0, 1);  // succeeds
  matrix.setLong(10L, 0);  // throws IllegalRankException

  LongNdArray scalar = matrix.get(0, 1);  // scalar rank = 0
  scalar.setLong(10L);  // succeeds
        Specified by:
        setLong in interface LongNdArray
        Parameters:
        value - value to assign
        coordinates - coordinates of the scalar to assign
        Returns:
        this array

      • setObject

        public LongNdArray setObject​(Long value,
                             long... coordinates)
        Description copied from class: AbstractSparseNdArray
        Assigns the value of the scalar found at the given coordinates.

        To access the scalar element, the number of coordinates provided must be equal to the number of dimensions of this array (i.e. its rank). For example: 

        
  FloatNdArray matrix = NdArrays.ofFloats(shape(2, 2));  // matrix rank = 2
  matrix.setObject(10.0f, 0, 1);  // succeeds
  matrix.setObject(10.0f, 0);  // throws IllegalRankException

  FloatNdArray scalar = matrix.get(0, 1);  // scalar rank = 0
  scalar.setObject(10.0f);  // succeeds
        Note: if this array stores values of a primitive type, prefer the usage of the specialized method in the subclass for that type. For example, floatArray.setFloat(10.0f, 0);
        Specified by:
        setObject in interface LongNdArray
        Specified by:
        setObject in interface NdArray<Long>
        Overrides:
        setObject in class AbstractSparseNdArray<Long,​LongNdArray>
        Parameters:
        value - the value to assign
        coordinates - coordinates of the scalar to assign
        Returns:
        this array

      • set

        public LongNdArray set​(NdArray<Long> src,
                       long... coordinates)
        Description copied from class: AbstractSparseNdArray
        Assigns the value of the N-dimensional element found at the given coordinates.

        The number of coordinates provided can be anywhere between 0 and rank - 1. For example: 

        
  FloatNdArray matrix = NdArrays.ofFloats(shape(2, 2));  // matrix rank = 2
  matrix.set(vector(10.0f, 20.0f), 0);  // success
  matrix.set(scalar(10.0f), 1, 0); // success
        Specified by:
        set in interface LongNdArray
        Specified by:
        set in interface NdArray<Long>
        Overrides:
        set in class AbstractSparseNdArray<Long,​LongNdArray>
        Parameters:
        src - an array of the values to assign
        coordinates - coordinates of the element to assign
        Returns:
        this array

      • read

        public LongNdArray read​(DataBuffer<Long> dst)
        Read the content of this N-dimensional array into the destination buffer.

        The size of the buffer must be equal or greater to the Shaped.size() of this array, or an exception is thrown. After the copy, content of the buffer and of the array can be altered independently, without affecting each other.

        Specified by:
        read in interface LongNdArray
        Specified by:
        read in interface NdArray<Long>
        Parameters:
        dst - the destination buffer
        Returns:
        this array
        See Also:
        DataBuffer.size()

      • slice

        public LongNdArray slice​(Index... indices)
        Description copied from class: SparseSlice
        Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.

        Slices allow to traverse an N-dimensional array in any of its axis and/or to filter only elements of interest. For example, for a given matrix on the [x, y] axes, it is possible to iterate elements at y=0 for all x.

        Any changes applied to the returned slice affect the data of this array as well, as there is no copy involved.

        Example of usage: 

        
    FloatNdArray matrix3d = NdArrays.ofFloats(shape(3, 2, 4));  // with [x, y, z] axes

    // Iterates elements on the x axis by preserving only the 3rd value on the z axis,
    // (i.e. [x, y, 2])
    matrix3d.slice(all(), all(), at(2)).elements(0).forEach(m -> {
      assertEquals(shape(2), m); // y=2, z=0 (scalar)
    });

    // Creates a slice that contains only the last element of the y axis and elements with an
    // odd `z` coordinate.
    FloatNdArray slice = matrix3d.slice(all(), at(1), odd());
    assertEquals(shape(3, 2), slice.shape());  // x=3, y=0 (scalar), z=2 (odd coordinates)

    // Iterates backward the elements on the x axis
    matrix3d.slice(flip()).elements(0).forEach(m -> {
      assertEquals(shape(2, 4), m);  // y=2, z=4
    });
        Specified by:
        slice in interface LongNdArray
        Specified by:
        slice in interface NdArray<Long>
        Overrides:
        slice in class SparseSlice<Long,​LongNdArray>
        Parameters:
        indices - index selectors per dimensions, starting from dimension 0 of this array.
        Returns:
        the element resulting of the index selection

      • get

        public LongNdArray get​(long... coordinates)
        Description copied from class: SparseSlice
        Returns the N-dimensional element of this array at the given coordinates.

        Elements of any of the dimensions of this array can be retrieved. For example, if the number of coordinates is equal to the number of dimensions of this array, then a rank-0 (scalar) array is returned, which value can then be obtained by calling `array.getObject()`.

        Any changes applied to the returned elements affect the data of this array as well, as there is no copy involved.

        Note that invoking this method is an equivalent and more efficient way to slice this array on single scalar, i.e. array.get(x, y, z) is equal to array.slice(at(x), at(y), at(z))

        Specified by:
        get in interface LongNdArray
        Specified by:
        get in interface NdArray<Long>
        Overrides:
        get in class SparseSlice<Long,​LongNdArray>
        Parameters:
        coordinates - coordinates of the element to access, none will return this array
        Returns:
        the element at this index