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

Class LongSparseNdArray

    • Constructor Detail

      • LongSparseNdArray

        protected LongSparseNdArray​(LongNdArray indices,
                            LongNdArray values,
                            long defaultValue,
                            DimensionalSpace dimensions)
        Creates a LongSparseNdArray
        Parameters:
        indices - A 2-D LongNdArray of shape [N, ndims], that specifies the indices of the elements in the sparse array that contain non-default values (elements are zero-indexed). For example, indices=[[1,3], [2,4]] specifies that the elements with indexes of [1,3] and [2,4] have non-default values.
        values - A 1-D LongNdArray of shape [N], which supplies the values for each element in indices. For example, given indices=[[1,3], [2,4]], the parameter values=[18, 3.6] specifies that element [1,3] of the sparse NdArray has a value of 18, and element [2,4] of the NdArray has a value of 3.6.
        defaultValue - Scalar value to set for indices not specified in AbstractSparseNdArray.getIndices()
        dimensions - the dimensional space for the dense object represented by this sparse array,

    • Method Detail

      • create

        public static LongSparseNdArray create​(LongNdArray indices,
                                       LongNdArray values,
                                       DimensionalSpace dimensions)
        Creates a new LongSparseNdArray
        Parameters:
        indices - A 2-D LongNdArray of shape [N, ndims], that specifies the indices of the elements in the sparse array that contain non-default values (elements are zero-indexed). For example, indices=[[1,3], [2,4]] specifies that the elements with indexes of [1,3] and [2,4] have non-default values.
        values - A 1-D NdArray of any type and shape [N], which supplies the values for each element in indices. For example, given indices=[[1,3], [2,4]], the parameter values=[18, 3.6] specifies that element [1,3] of the sparse NdArray has a value of 18, and element [2,4] of the NdArray has a value of 3.6.
        dimensions - the dimensional space for the dense object represented by this sparse array.
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(LongNdArray indices,
                                       LongNdArray values,
                                       long defaultValue,
                                       DimensionalSpace dimensions)
        Creates a new LongSparseNdArray
        Parameters:
        indices - A 2-D LongNdArray of shape [N, ndims], that specifies the indices of the elements in the sparse array that contain non-default values (elements are zero-indexed). For example, indices=[[1,3], [2,4]] specifies that the elements with indexes of [1,3] and [2,4] have non-default values.
        values - A 1-D NdArray of any type and shape [N], which supplies the values for each element in indices. For example, given indices=[[1,3], [2,4]], the parameter values=[18, 3.6] specifies that element [1,3] of the sparse NdArray has a value of 18, and element [2,4] of the NdArray has a value of 3.6.
        defaultValue - Scalar value to set for indices not specified in AbstractSparseNdArray.getIndices()
        dimensions - the dimensional space for the dense object represented by this sparse array.
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(LongDataBuffer dataBuffer,
                                       DimensionalSpace dimensions)
        Creates a new LongSparseNdArray from a data buffer
        Parameters:
        dataBuffer - the databuffer containing the dense array
        dimensions - the dimensional space for the sparse array
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(LongDataBuffer dataBuffer,
                                       long defaultValue,
                                       DimensionalSpace dimensions)
        Creates a new LongSparseNdArray from a data buffer
        Parameters:
        dataBuffer - the databuffer containing the dense array
        defaultValue - Scalar value to set for indices not specified in AbstractSparseNdArray.getIndices()
        dimensions - the dimensional space for the sparse array
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(DimensionalSpace dimensions)
        Creates a new empty LongSparseNdArray from a data buffer
        Parameters:
        dimensions - the dimensions array
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(LongDataBuffer buffer,
                                       Shape shape)
        Creates a new empty LongSparseNdArray from a long data buffer
        Parameters:
        buffer - the data buffer
        shape - the shape of the sparse array.
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(LongDataBuffer buffer,
                                       long defaultValue,
                                       Shape shape)
        Creates a new empty LongSparseNdArray from a long data buffer
        Parameters:
        buffer - the data buffer
        defaultValue - Scalar value to set for indices not specified in AbstractSparseNdArray.getIndices()
        shape - the shape of the sparse array.
        Returns:
        the new Sparse Array

      • create

        public static LongSparseNdArray create​(LongNdArray src)
        Creates a new LongSparseNdArray from a LongNdArray
        Parameters:
        src - the LongNdArray
        Returns:
        the new Sparse Array

      • getLong

        public long getLong​(long... coordinates)
        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)
        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

      • 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()

      • write

        public LongNdArray write​(DataBuffer<Long> src)
        Write the content of this N-dimensional array from the source 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:
        write in interface LongNdArray
        Specified by:
        write in interface NdArray<Long>
        Parameters:
        src - the source buffer
        Returns:
        this array
        See Also:
        DataBuffer.size()

      • fromDense

        public LongNdArray fromDense​(LongNdArray src)
        Populates this sparse array from a dense array
        Parameters:
        src - the dense array
        Returns:
        this sparse array

      • slice

        public LongNdArray slice​(Index... indices)
        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 AbstractSparseNdArray<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)
        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 AbstractSparseNdArray<Long,​LongNdArray>
        Parameters:
        coordinates - coordinates of the element to access, none will return this array
        Returns:
        the element at this index

      • setObject

        public LongNdArray setObject​(Long value,
                             long... coordinates)
        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)
        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

      • copyTo

        public LongNdArray copyTo​(NdArray<Long> dst)
        Copy the content of this array to the destination array.

        The Shaped.shape() of the destination array must be equal to the shape of this array, or an exception is thrown. After the copy, the content of both arrays can be altered independently, without affecting each other.

        Specified by:
        copyTo in interface LongNdArray
        Specified by:
        copyTo in interface NdArray<Long>
        Overrides:
        copyTo in class AbstractSparseNdArray<Long,​LongNdArray>
        Parameters:
        dst - array to receive a copy of the content of this array
        Returns:
        this array