- java.lang.Object
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- org.tensorflow.ndarray.impl.AbstractNdArray<T,U>
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- org.tensorflow.ndarray.impl.sparse.AbstractSparseNdArray<Float,FloatNdArray>
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- org.tensorflow.ndarray.impl.sparse.FloatSparseNdArray
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- All Implemented Interfaces:
FloatNdArray,NdArray<Float>,Shaped,SparseNdArray<Float,FloatNdArray>
public class FloatSparseNdArray extends AbstractSparseNdArray<Float,FloatNdArray> implements FloatNdArray
sparse array for the float 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(Float, long...)methodsFloatSparseNdArray st = new FloatSparseNdArray( StdArrays.of(new long[][] {{0, 0}, {1, 2}}), NdArrays.vectorOf(1f, 3.14f), Shape.of(3, 4)); }represents the dense array:
[[1, 0, 0, 0] [0, 0, 3.14, 0] [0, 0, 0, 0]]
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Constructor Summary
Constructors Modifier Constructor Description protectedFloatSparseNdArray(LongNdArray indices, FloatNdArray values, float defaultValue, DimensionalSpace dimensions)Creates a FloatSparseNdArray
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description FloatNdArraycopyTo(NdArray<Float> dst)Copy the content of this array to the destination array.static FloatSparseNdArraycreate(float defaultValue, DimensionalSpace dimensions)Creates a new empty FloatSparseNdArray from a data bufferstatic FloatSparseNdArraycreate(FloatDataBuffer dataBuffer, float defaultValue, DimensionalSpace dimensions)Creates a new FloatSparseNdArray from a data bufferstatic FloatSparseNdArraycreate(FloatDataBuffer buffer, float defaultValue, Shape shape)Creates a new empty FloatSparseNdArray from a float data bufferstatic FloatSparseNdArraycreate(FloatDataBuffer dataBuffer, DimensionalSpace dimensions)Creates a new FloatSparseNdArray from a data bufferstatic FloatSparseNdArraycreate(FloatDataBuffer buffer, Shape shape)Creates a new empty FloatSparseNdArray from a float data bufferstatic FloatSparseNdArraycreate(FloatNdArray src)Creates a new FloatSparseNdArray from a FloatNdArraystatic FloatSparseNdArraycreate(FloatNdArray src, float defaultValue)Creates a new FloatSparseNdArray from a FloatNdArraystatic FloatSparseNdArraycreate(DimensionalSpace dimensions)Creates a new empty FloatSparseNdArray from a data bufferstatic FloatSparseNdArraycreate(LongNdArray indices, FloatNdArray values, float defaultValue, DimensionalSpace dimensions)Creates a new FloatSparseNdArraystatic FloatSparseNdArraycreate(LongNdArray indices, FloatNdArray values, DimensionalSpace dimensions)Creates a new FloatSparseNdArrayFloatNdArraycreateDefaultArray()Creates the NdArray with the default value as a scalarFloatNdArraycreateValues(Shape shape)Creates a FloatNdArray of the specified shapeFloatNdArrayfromDense(FloatNdArray src)Populates this sparse array from a dense arrayFloatNdArrayget(long... coordinates)Returns the N-dimensional element of this array at the given coordinates.floatgetFloat(long... coordinates)Returns the float value of the scalar found at the given coordinates.FloatNdArrayread(DataBuffer<Float> dst)Read the content of this N-dimensional array into the destination buffer.FloatNdArrayread(FloatDataBuffer dst)FloatNdArrayset(NdArray<Float> src, long... coordinates)Assigns the value of the N-dimensional element found at the given coordinates.FloatNdArraysetFloat(float value, long... coordinates)Assigns the float value of the scalar found at the given coordinates.FloatNdArraysetObject(Float value, long... coordinates)Assigns the value of the scalar found at the given coordinates.FloatNdArrayslice(long position, DimensionalSpace sliceDimensions)FloatNdArrayslice(Index... indices)Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.FloatNdArraytoDense()Converts the sparse array to a dense arrayFloatNdArraywrite(DataBuffer<Float> src)Write the content of this N-dimensional array from the source buffer.FloatNdArraywrite(FloatDataBuffer src)-
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.FloatNdArray
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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FloatSparseNdArray
protected FloatSparseNdArray(LongNdArray indices, FloatNdArray values, float defaultValue, DimensionalSpace dimensions)
Creates a FloatSparseNdArray- 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 FloatNdArray of 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 FloatSparseNdArray create(LongNdArray indices, FloatNdArray values, DimensionalSpace dimensions)
Creates a new FloatSparseNdArray- 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 FloatSparseNdArray create(LongNdArray indices, FloatNdArray values, float defaultValue, DimensionalSpace dimensions)
Creates a new FloatSparseNdArray- 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 FloatSparseNdArray create(FloatDataBuffer dataBuffer, DimensionalSpace dimensions)
Creates a new FloatSparseNdArray 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 FloatSparseNdArray create(FloatDataBuffer dataBuffer, float defaultValue, DimensionalSpace dimensions)
Creates a new FloatSparseNdArray 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 FloatSparseNdArray create(DimensionalSpace dimensions)
Creates a new empty FloatSparseNdArray from a data buffer- Parameters:
dimensions- the dimensions array- Returns:
- the new Sparse Array
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create
public static FloatSparseNdArray create(float defaultValue, DimensionalSpace dimensions)
Creates a new empty FloatSparseNdArray 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 FloatSparseNdArray create(FloatDataBuffer buffer, Shape shape)
Creates a new empty FloatSparseNdArray 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 FloatSparseNdArray create(FloatDataBuffer buffer, float defaultValue, Shape shape)
Creates a new empty FloatSparseNdArray 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 FloatSparseNdArray create(FloatNdArray src)
Creates a new FloatSparseNdArray from a FloatNdArray- Parameters:
src- the FloatNdArray- Returns:
- the new Sparse Array
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create
public static FloatSparseNdArray create(FloatNdArray src, float defaultValue)
Creates a new FloatSparseNdArray from a FloatNdArray- Parameters:
src- the FloatNdArraydefaultValue- Scalar value to set for indices not specified inAbstractSparseNdArray.getIndices()- Returns:
- the new Sparse Array
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createValues
public FloatNdArray createValues(Shape shape)
Creates a FloatNdArray of the specified shape- Specified by:
createValuesin classAbstractSparseNdArray<Float,FloatNdArray>- Parameters:
shape- the shape of the dense array.- Returns:
- a FloatNdArray of the specified shape
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slice
public FloatNdArray slice(long position, DimensionalSpace sliceDimensions)
- Specified by:
slicein classorg.tensorflow.ndarray.impl.AbstractNdArray<Float,FloatNdArray>
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getFloat
public float getFloat(long... coordinates)
Returns the float 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.getFloat(0, 1); // succeeds, returns 0.0f matrix.getFloat(0); // throws IllegalRankException FloatNdArray scalar = matrix.get(0, 1); // scalar rank = 0 scalar.getFloat(); // succeeds, returns 0.0f- Specified by:
getFloatin interfaceFloatNdArray- Parameters:
coordinates- coordinates of the scalar to resolve- Returns:
- value of that scalar
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setFloat
public FloatNdArray setFloat(float value, long... coordinates)
Assigns the float 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.setFloat(10.0f, 0, 1); // succeeds matrix.setFloat(10.0f, 0); // throws IllegalRankException FloatNdArray scalar = matrix.get(0, 1); // scalar rank = 0 scalar.setFloat(10.0f); // succeeds- Specified by:
setFloatin interfaceFloatNdArray- Parameters:
value- value to assigncoordinates- coordinates of the scalar to assign- Returns:
- this array
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read
public FloatNdArray read(DataBuffer<Float> 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 interfaceFloatNdArray- Specified by:
readin interfaceNdArray<Float>- Parameters:
dst- the destination buffer- Returns:
- this array
- See Also:
DataBuffer.size()
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read
public FloatNdArray read(FloatDataBuffer dst)
- Specified by:
readin interfaceFloatNdArray
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write
public FloatNdArray write(FloatDataBuffer src)
- Specified by:
writein interfaceFloatNdArray
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write
public FloatNdArray write(DataBuffer<Float> 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 interfaceFloatNdArray- Specified by:
writein interfaceNdArray<Float>- Parameters:
src- the source buffer- Returns:
- this array
- See Also:
DataBuffer.size()
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toDense
public FloatNdArray toDense()
Converts the sparse array to a dense array- Specified by:
toDensein classAbstractSparseNdArray<Float,FloatNdArray>- Returns:
- the dense array
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fromDense
public FloatNdArray fromDense(FloatNdArray src)
Populates this sparse array from a dense array- Parameters:
src- the dense array- Returns:
- this sparse array
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slice
public FloatNdArray 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 interfaceFloatNdArray- Specified by:
slicein interfaceNdArray<Float>- Overrides:
slicein classAbstractSparseNdArray<Float,FloatNdArray>- 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 FloatNdArray 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 interfaceFloatNdArray- Specified by:
getin interfaceNdArray<Float>- Overrides:
getin classAbstractSparseNdArray<Float,FloatNdArray>- 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 FloatNdArray setObject(Float 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 interfaceFloatNdArray- Specified by:
setObjectin interfaceNdArray<Float>- Overrides:
setObjectin classAbstractSparseNdArray<Float,FloatNdArray>- Parameters:
value- the value to assigncoordinates- coordinates of the scalar to assign- Returns:
- this array
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set
public FloatNdArray set(NdArray<Float> 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 interfaceFloatNdArray- Specified by:
setin interfaceNdArray<Float>- Overrides:
setin classAbstractSparseNdArray<Float,FloatNdArray>- Parameters:
src- an array of the values to assigncoordinates- coordinates of the element to assign- Returns:
- this array
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copyTo
public FloatNdArray copyTo(NdArray<Float> 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 interfaceFloatNdArray- Specified by:
copyToin interfaceNdArray<Float>- Overrides:
copyToin classAbstractSparseNdArray<Float,FloatNdArray>- Parameters:
dst- array to receive a copy of the content of this array- Returns:
- this array
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createDefaultArray
public FloatNdArray createDefaultArray()
Creates the NdArray with the default value as a scalar- Specified by:
createDefaultArrayin classAbstractSparseNdArray<Float,FloatNdArray>- Returns:
- the default NdArray of the default value as a scalar
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