- java.lang.Object
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- org.tensorflow.ndarray.impl.AbstractNdArray<T,U>
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- org.tensorflow.ndarray.impl.sparse.AbstractSparseNdArray<Boolean,BooleanNdArray>
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- org.tensorflow.ndarray.impl.sparse.BooleanSparseNdArray
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- All Implemented Interfaces:
BooleanNdArray,NdArray<Boolean>,Shaped,SparseNdArray<Boolean,BooleanNdArray>
public class BooleanSparseNdArray extends AbstractSparseNdArray<Boolean,BooleanNdArray> implements BooleanNdArray
sparse array for the boolean 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(Boolean, long...)methodsFloatSparseNdArray st = new BooleanSparseNdArray( StdArrays.of(new long[][] {{0, 0}, {1, 2}}), NdArrays.vectorOf(true, true), Shape.of(3, 4));represents the dense array:
[[true, false, false, false] [false, false, true, false] [false, false, false, false]]
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Constructor Summary
Constructors Modifier Constructor Description protectedBooleanSparseNdArray(LongNdArray indices, BooleanNdArray values, boolean defaultValue, DimensionalSpace dimensions)Creates a BooleanSparseNdArray
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description BooleanNdArraycopyTo(NdArray<Boolean> dst)Copy the content of this array to the destination array.static BooleanSparseNdArraycreate(boolean defaultValue, DimensionalSpace dimensions)Creates a new empty BooleanSparseNdArray from a data bufferstatic BooleanSparseNdArraycreate(BooleanNdArray src)Creates a new BooleanSparseNdArray from a BooleanNdArraystatic BooleanSparseNdArraycreate(BooleanNdArray src, boolean defaultValue)Creates a new BooleanSparseNdArray from a BooleanNdArraystatic BooleanSparseNdArraycreate(BooleanDataBuffer dataBuffer, boolean defaultValue, DimensionalSpace dimensions)Creates a new BooleanSparseNdArray from a data bufferstatic BooleanSparseNdArraycreate(BooleanDataBuffer buffer, boolean defaultValue, Shape shape)Creates a new empty BooleanSparseNdArray from a float data bufferstatic BooleanSparseNdArraycreate(BooleanDataBuffer dataBuffer, DimensionalSpace dimensions)Creates a new BooleanSparseNdArray from a data bufferstatic BooleanSparseNdArraycreate(BooleanDataBuffer buffer, Shape shape)Creates a new empty BooleanSparseNdArray from a float data bufferstatic BooleanSparseNdArraycreate(DimensionalSpace dimensions)Creates a new empty BooleanSparseNdArray from a data bufferstatic BooleanSparseNdArraycreate(LongNdArray indices, BooleanNdArray values, boolean defaultValue, DimensionalSpace dimensions)Creates a new BooleanSparseNdArraystatic BooleanSparseNdArraycreate(LongNdArray indices, BooleanNdArray values, DimensionalSpace dimensions)Creates a new BooleanSparseNdArrayBooleanNdArraycreateDefaultArray()Creates the NdArray with the default value as a scalarBooleanNdArraycreateValues(Shape shape)Creates a BooleanNdArray of the specified shapeBooleanNdArrayfromDense(BooleanNdArray src)Populates this sparse array from a dense arrayBooleanNdArrayget(long... coordinates)Returns the N-dimensional element of this array at the given coordinates.booleangetBoolean(long... coordinates)Returns the boolean value of the scalar found at the given coordinates.BooleanNdArrayread(BooleanDataBuffer dst)BooleanNdArrayread(DataBuffer<Boolean> dst)Read the content of this N-dimensional array into the destination buffer.BooleanNdArrayset(NdArray<Boolean> src, long... coordinates)Assigns the value of the N-dimensional element found at the given coordinates.BooleanNdArraysetBoolean(boolean value, long... coordinates)Assigns the boolean value of the scalar found at the given coordinates.BooleanNdArraysetObject(Boolean value, long... coordinates)Assigns the value of the scalar found at the given coordinates.BooleanNdArrayslice(long position, DimensionalSpace sliceDimensions)BooleanNdArrayslice(Index... indices)Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.BooleanNdArraytoDense()Converts the sparse array to a dense arrayBooleanNdArraywrite(BooleanDataBuffer src)BooleanNdArraywrite(DataBuffer<Boolean> 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.BooleanNdArray
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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BooleanSparseNdArray
protected BooleanSparseNdArray(LongNdArray indices, BooleanNdArray values, boolean defaultValue, DimensionalSpace dimensions)
Creates a BooleanSparseNdArray- 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 Boolean 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 BooleanSparseNdArray create(LongNdArray indices, BooleanNdArray values, DimensionalSpace dimensions)
Creates a new BooleanSparseNdArray- 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 BooleanSparseNdArray create(LongNdArray indices, BooleanNdArray values, boolean defaultValue, DimensionalSpace dimensions)
Creates a new BooleanSparseNdArray- 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 BooleanSparseNdArray create(BooleanDataBuffer dataBuffer, DimensionalSpace dimensions)
Creates a new BooleanSparseNdArray 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 BooleanSparseNdArray create(BooleanDataBuffer dataBuffer, boolean defaultValue, DimensionalSpace dimensions)
Creates a new BooleanSparseNdArray 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 BooleanSparseNdArray create(DimensionalSpace dimensions)
Creates a new empty BooleanSparseNdArray from a data buffer- Parameters:
dimensions- the dimensions array- Returns:
- the new Sparse Array
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create
public static BooleanSparseNdArray create(boolean defaultValue, DimensionalSpace dimensions)
Creates a new empty BooleanSparseNdArray from a data buffer- Parameters:
dimensions- the dimensions arraydefaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()- Returns:
- the new Sparse Array
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create
public static BooleanSparseNdArray create(BooleanDataBuffer buffer, Shape shape)
Creates a new empty BooleanSparseNdArray 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 BooleanSparseNdArray create(BooleanDataBuffer buffer, boolean defaultValue, Shape shape)
Creates a new empty BooleanSparseNdArray 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 BooleanSparseNdArray create(BooleanNdArray src)
Creates a new BooleanSparseNdArray from a BooleanNdArray- Parameters:
src- the BooleanNdArray- Returns:
- the new Sparse Array
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create
public static BooleanSparseNdArray create(BooleanNdArray src, boolean defaultValue)
Creates a new BooleanSparseNdArray from a BooleanNdArray- Parameters:
defaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()src- the BooleanNdArray- Returns:
- the new Sparse Array
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createDefaultArray
public BooleanNdArray createDefaultArray()
Creates the NdArray with the default value as a scalar- Specified by:
createDefaultArrayin classAbstractSparseNdArray<Boolean,BooleanNdArray>- Returns:
- the default NdArray of the default value as a scalar
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createValues
public BooleanNdArray createValues(Shape shape)
Creates a BooleanNdArray of the specified shape- Specified by:
createValuesin classAbstractSparseNdArray<Boolean,BooleanNdArray>- Parameters:
shape- the shape of the dense array.- Returns:
- a BooleanNdArray of the specified shape
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slice
public BooleanNdArray slice(long position, DimensionalSpace sliceDimensions)
- Specified by:
slicein classorg.tensorflow.ndarray.impl.AbstractNdArray<Boolean,BooleanNdArray>
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getBoolean
public boolean getBoolean(long... coordinates)
Returns the boolean 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:
BooleanNdArray matrix = NdArrays.ofBooleans(shape(2, 2)); // matrix rank = 2 matrix.getBoolean(0, 1); // succeeds, returns false matrix.getBoolean(0); // throws IllegalRankException BooleanNdArray scalar = matrix.get(0, 1); // scalar rank = 0 scalar.getBoolean(); // succeeds, returns false- Specified by:
getBooleanin interfaceBooleanNdArray- Parameters:
coordinates- coordinates of the scalar to resolve- Returns:
- value of that scalar
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setBoolean
public BooleanNdArray setBoolean(boolean value, long... coordinates)
Assigns the boolean 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:
BooleanNdArray matrix = NdArrays.ofBooleans(shape(2, 2)); // matrix rank = 2 matrix.setBoolean(true, 0, 1); // succeeds matrix.setBoolean(true, 0); // throws IllegalRankException BooleanNdArray scalar = matrix.get(0, 1); // scalar rank = 0 scalar.setBoolean(true); // succeeds- Specified by:
setBooleanin interfaceBooleanNdArray- Parameters:
value- the value to assigncoordinates- coordinates of the scalar to assign- Returns:
- this array
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read
public BooleanNdArray read(DataBuffer<Boolean> 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 interfaceBooleanNdArray- Specified by:
readin interfaceNdArray<Boolean>- Parameters:
dst- the destination buffer- Returns:
- this array
- See Also:
DataBuffer.size()
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read
public BooleanNdArray read(BooleanDataBuffer dst)
- Specified by:
readin interfaceBooleanNdArray
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write
public BooleanNdArray write(BooleanDataBuffer src)
- Specified by:
writein interfaceBooleanNdArray
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write
public BooleanNdArray write(DataBuffer<Boolean> 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 interfaceBooleanNdArray- Specified by:
writein interfaceNdArray<Boolean>- Parameters:
src- the source buffer- Returns:
- this array
- See Also:
DataBuffer.size()
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toDense
public BooleanNdArray toDense()
Converts the sparse array to a dense array- Specified by:
toDensein classAbstractSparseNdArray<Boolean,BooleanNdArray>- Returns:
- the dense array
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fromDense
public BooleanNdArray fromDense(BooleanNdArray src)
Populates this sparse array from a dense array- Parameters:
src- the dense array- Returns:
- this sparse array
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slice
public BooleanNdArray 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 interfaceBooleanNdArray- Specified by:
slicein interfaceNdArray<Boolean>- Overrides:
slicein classAbstractSparseNdArray<Boolean,BooleanNdArray>- 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 BooleanNdArray 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 interfaceBooleanNdArray- Specified by:
getin interfaceNdArray<Boolean>- Overrides:
getin classAbstractSparseNdArray<Boolean,BooleanNdArray>- 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 BooleanNdArray setObject(Boolean 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 interfaceBooleanNdArray- Specified by:
setObjectin interfaceNdArray<Boolean>- Overrides:
setObjectin classAbstractSparseNdArray<Boolean,BooleanNdArray>- Parameters:
value- the value to assigncoordinates- coordinates of the scalar to assign- Returns:
- this array
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set
public BooleanNdArray set(NdArray<Boolean> 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 interfaceBooleanNdArray- Specified by:
setin interfaceNdArray<Boolean>- Overrides:
setin classAbstractSparseNdArray<Boolean,BooleanNdArray>- Parameters:
src- an array of the values to assigncoordinates- coordinates of the element to assign- Returns:
- this array
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copyTo
public BooleanNdArray copyTo(NdArray<Boolean> 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 interfaceBooleanNdArray- Specified by:
copyToin interfaceNdArray<Boolean>- Overrides:
copyToin classAbstractSparseNdArray<Boolean,BooleanNdArray>- Parameters:
dst- array to receive a copy of the content of this array- Returns:
- this array
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