- java.lang.Object
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- org.tensorflow.ndarray.impl.AbstractNdArray<T,U>
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- org.tensorflow.ndarray.impl.sparse.AbstractSparseNdArray<Byte,ByteNdArray>
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- org.tensorflow.ndarray.impl.sparse.ByteSparseNdArray
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- All Implemented Interfaces:
ByteNdArray,NdArray<Byte>,Shaped,SparseNdArray<Byte,ByteNdArray>
public class ByteSparseNdArray extends AbstractSparseNdArray<Byte,ByteNdArray> implements ByteNdArray
sparse array for the byte data typeA sparse array as two separate dense arrays: indices, values, and a shape that represents the dense shape.
NOTE: all Sparse Arrays are readonly for the
set(NdArray, long...)andsetObject(Byte, long...)methodsByteSparseNdArray st = new ByteSparseNdArray( StdArrays.of(new long[][] {{0, 0}, {1, 2}}), NdArrays.vectorOf((byte)1, (byte)255), Shape.of(3, 4));represents the dense array:
[[(byte)1, (byte)0, (byte)0, (byte)0] [(byte)0, (byte)0, (byte)1, (byte)0] [(byte)0, (byte)0, (byte)0, (byte)0]]
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Constructor Summary
Constructors Modifier Constructor Description protectedByteSparseNdArray(LongNdArray indices, ByteNdArray values, byte defaultValue, DimensionalSpace dimensions)Creates a ByteSparseNdArray with a default value of zero.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description ByteNdArraycopyTo(NdArray<Byte> dst)Copy the content of this array to the destination array.static ByteSparseNdArraycreate(byte defaultValue, DimensionalSpace dimensions)Creates a new empty ByteSparseNdArray from a data bufferstatic ByteSparseNdArraycreate(ByteDataBuffer dataBuffer, byte defaultValue, DimensionalSpace dimensions)Creates a new ByteSparseNdArray from a data bufferstatic ByteSparseNdArraycreate(ByteDataBuffer buffer, byte defaultValue, Shape shape)Creates a new empty ByteSparseNdArray from a float data bufferstatic ByteSparseNdArraycreate(ByteDataBuffer dataBuffer, DimensionalSpace dimensions)Creates a new ByteSparseNdArray from a data bufferstatic ByteSparseNdArraycreate(ByteDataBuffer buffer, Shape shape)Creates a new empty ByteSparseNdArray from a float data bufferstatic ByteSparseNdArraycreate(ByteNdArray src)Creates a new ByteSparseNdArray from a ByteNdArraystatic ByteSparseNdArraycreate(ByteNdArray src, byte defaultValue)Creates a new ByteSparseNdArray from a ByteNdArraystatic ByteSparseNdArraycreate(DimensionalSpace dimensions)Creates a new empty ByteSparseNdArray from a data bufferstatic ByteSparseNdArraycreate(LongNdArray indices, ByteNdArray values, byte defaultValue, DimensionalSpace dimensions)Creates a new ByteSparseNdArraystatic ByteSparseNdArraycreate(LongNdArray indices, ByteNdArray values, DimensionalSpace dimensions)Creates a new ByteSparseNdArrayByteNdArraycreateDefaultArray()Creates the NdArray with the default value as a scalarByteNdArraycreateValues(Shape shape)Creates a ByteNdArray of the specified shapeByteNdArrayfromDense(ByteNdArray src)Populates this sparse array from a dense arrayByteNdArrayget(long... coordinates)Returns the N-dimensional element of this array at the given coordinates.bytegetByte(long... coordinates)Returns the byte value of the scalar found at the given coordinates.ByteNdArrayread(ByteDataBuffer dst)ByteNdArrayread(DataBuffer<Byte> dst)Read the content of this N-dimensional array into the destination buffer.ByteNdArrayset(NdArray<Byte> src, long... coordinates)Assigns the value of the N-dimensional element found at the given coordinates.ByteNdArraysetByte(byte value, long... coordinates)Assigns the byte value of the scalar found at the given coordinates.ByteNdArraysetObject(Byte value, long... coordinates)Assigns the value of the scalar found at the given coordinates.ByteNdArrayslice(long position, DimensionalSpace sliceDimensions)ByteNdArrayslice(Index... indices)Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.ByteNdArraytoDense()Converts the sparse array to a dense arrayByteNdArraywrite(ByteDataBuffer src)ByteNdArraywrite(DataBuffer<Byte> src)Write the content of this N-dimensional array from the source buffer.-
Methods inherited from class org.tensorflow.ndarray.impl.sparse.AbstractSparseNdArray
elements, equals, getDefaultArray, getDefaultValue, getIndices, getIndicesCoordinates, getObject, getValues, hashCode, locateIndex, positionOf, setDefaultValue, setIndices, setValues, slowCopyTo, sortIndicesAndValues, toCoordinates, toString
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Methods inherited from class org.tensorflow.ndarray.impl.AbstractNdArray
dimensions, scalars, shape, slowEquals, slowHashCode
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.tensorflow.ndarray.ByteNdArray
elements, getObject, scalars
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Methods inherited from interface org.tensorflow.ndarray.NdArray
equals, streamOfObjects
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Constructor Detail
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ByteSparseNdArray
protected ByteSparseNdArray(LongNdArray indices, ByteNdArray values, byte defaultValue, DimensionalSpace dimensions)
Creates a ByteSparseNdArray with a default value of zero.- 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 Byte type and shape[N], which supplies the values for each element in indices. For example, givenindices=[[1,3], [2,4]], the parametervalues=[18, 3.6]specifies that element[1,3]of the sparse NdArray has a value of18, and element[2,4]of the NdArray has a value of3.6.defaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()dimensions- the dimensional space for the dense object represented by this sparse array,
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Method Detail
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create
public static ByteSparseNdArray create(LongNdArray indices, ByteNdArray values, DimensionalSpace dimensions)
Creates a new ByteSparseNdArray- 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, givenindices=[[1,3], [2,4]], the parametervalues=[18, 3.6]specifies that element[1,3]of the sparse NdArray has a value of18, and element[2,4]of the NdArray has a value of3.6.dimensions- the dimensional space for the dense object represented by this sparse array.- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(LongNdArray indices, ByteNdArray values, byte defaultValue, DimensionalSpace dimensions)
Creates a new ByteSparseNdArray- 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, givenindices=[[1,3], [2,4]], the parametervalues=[18, 3.6]specifies that element[1,3]of the sparse NdArray has a value of18, and element[2,4]of the NdArray has a value of3.6.defaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()dimensions- the dimensional space for the dense object represented by this sparse array.- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(ByteDataBuffer dataBuffer, DimensionalSpace dimensions)
Creates a new ByteSparseNdArray from a data buffer- Parameters:
dataBuffer- the databuffer containing the dense arraydimensions- the dimensional space for the sparse array- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(ByteDataBuffer dataBuffer, byte defaultValue, DimensionalSpace dimensions)
Creates a new ByteSparseNdArray from a data buffer- Parameters:
dataBuffer- the databuffer containing the dense arraydefaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()dimensions- the dimensional space for the sparse array- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(DimensionalSpace dimensions)
Creates a new empty ByteSparseNdArray from a data buffer- Parameters:
dimensions- the dimensions array- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(byte defaultValue, DimensionalSpace dimensions)
Creates a new empty ByteSparseNdArray from a data buffer- Parameters:
defaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()dimensions- the dimensions array- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(ByteDataBuffer buffer, Shape shape)
Creates a new empty ByteSparseNdArray from a float data buffer- Parameters:
buffer- the data buffershape- the shape of the sparse array.- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(ByteDataBuffer buffer, byte defaultValue, Shape shape)
Creates a new empty ByteSparseNdArray from a float data buffer- Parameters:
buffer- the data bufferdefaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()shape- the shape of the sparse array.- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(ByteNdArray src)
Creates a new ByteSparseNdArray from a ByteNdArray- Parameters:
src- the ByteNdArray- Returns:
- the new Sparse Array
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create
public static ByteSparseNdArray create(ByteNdArray src, byte defaultValue)
Creates a new ByteSparseNdArray from a ByteNdArray- Parameters:
src- the ByteNdArraydefaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()- Returns:
- the new Sparse Array
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createValues
public ByteNdArray createValues(Shape shape)
Creates a ByteNdArray of the specified shape- Specified by:
createValuesin classAbstractSparseNdArray<Byte,ByteNdArray>- Parameters:
shape- the shape of the dense array.- Returns:
- a ByteNdArray of the specified shape
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slice
public ByteNdArray slice(long position, DimensionalSpace sliceDimensions)
- Specified by:
slicein classorg.tensorflow.ndarray.impl.AbstractNdArray<Byte,ByteNdArray>
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getByte
public byte getByte(long... coordinates)
Returns the byte 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:
ByteNdArray matrix = NdArrays.ofBytes(shape(2, 2)); // matrix rank = 2 matrix.getByte(0, 1); // succeeds, returns 0 matrix.getByte(0); // throws IllegalRankException ByteNdArray scalar = matrix.get(0, 1); // scalar rank = 0 scalar.getByte(); // succeeds, returns 0- Specified by:
getBytein interfaceByteNdArray- Parameters:
coordinates- coordinates of the scalar to resolve- Returns:
- value of that scalar
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setByte
public ByteNdArray setByte(byte value, long... coordinates)
Assigns the byte 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:
ByteNdArray matrix = NdArrays.ofBytes(shape(2, 2)); // matrix rank = 2 matrix.setByte(10, 0, 1); // succeeds matrix.setByte(10, 0); // throws IllegalRankException ByteNdArray scalar = matrix.get(0, 1); // scalar rank = 0 scalar.setByte(10); // succeeds- Specified by:
setBytein interfaceByteNdArray- Parameters:
value- the value to assigncoordinates- coordinates of the scalar to assign- Returns:
- this array
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read
public ByteNdArray read(DataBuffer<Byte> 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:
readin interfaceByteNdArray- Specified by:
readin interfaceNdArray<Byte>- Parameters:
dst- the destination buffer- Returns:
- this array
- See Also:
DataBuffer.size()
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read
public ByteNdArray read(ByteDataBuffer dst)
- Specified by:
readin interfaceByteNdArray
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write
public ByteNdArray write(ByteDataBuffer src)
- Specified by:
writein interfaceByteNdArray
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write
public ByteNdArray write(DataBuffer<Byte> 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:
writein interfaceByteNdArray- Specified by:
writein interfaceNdArray<Byte>- Parameters:
src- the source buffer- Returns:
- this array
- See Also:
DataBuffer.size()
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toDense
public ByteNdArray toDense()
Converts the sparse array to a dense array- Specified by:
toDensein classAbstractSparseNdArray<Byte,ByteNdArray>- Returns:
- the dense array
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fromDense
public ByteNdArray fromDense(ByteNdArray src)
Populates this sparse array from a dense array- Parameters:
src- the dense array- Returns:
- this sparse array
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slice
public ByteNdArray 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 aty=0for allx.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:
slicein interfaceByteNdArray- Specified by:
slicein interfaceNdArray<Byte>- Overrides:
slicein classAbstractSparseNdArray<Byte,ByteNdArray>- Parameters:
indices- index selectors per dimensions, starting from dimension 0 of this array.- Returns:
- the element resulting of the index selection
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get
public ByteNdArray 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 toarray.slice(at(x), at(y), at(z))- Specified by:
getin interfaceByteNdArray- Specified by:
getin interfaceNdArray<Byte>- Overrides:
getin classAbstractSparseNdArray<Byte,ByteNdArray>- Parameters:
coordinates- coordinates of the element to access, none will return this array- Returns:
- the element at this index
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setObject
public ByteNdArray setObject(Byte 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:
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,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); // succeedsfloatArray.setFloat(10.0f, 0);- Specified by:
setObjectin interfaceByteNdArray- Specified by:
setObjectin interfaceNdArray<Byte>- Overrides:
setObjectin classAbstractSparseNdArray<Byte,ByteNdArray>- Parameters:
value- the value to assigncoordinates- coordinates of the scalar to assign- Returns:
- this array
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set
public ByteNdArray set(NdArray<Byte> 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:
setin interfaceByteNdArray- Specified by:
setin interfaceNdArray<Byte>- Overrides:
setin classAbstractSparseNdArray<Byte,ByteNdArray>- Parameters:
src- an array of the values to assigncoordinates- coordinates of the element to assign- Returns:
- this array
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copyTo
public ByteNdArray copyTo(NdArray<Byte> 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:
copyToin interfaceByteNdArray- Specified by:
copyToin interfaceNdArray<Byte>- Overrides:
copyToin classAbstractSparseNdArray<Byte,ByteNdArray>- Parameters:
dst- array to receive a copy of the content of this array- Returns:
- this array
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createDefaultArray
public ByteNdArray createDefaultArray()
Creates the NdArray with the default value as a scalar- Specified by:
createDefaultArrayin classAbstractSparseNdArray<Byte,ByteNdArray>- Returns:
- the default NdArray of the default value as a scalar
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