SparseToDense

public final class SparseToDense

Converts a sparse representation into a dense tensor.

Builds an array `dense` with shape `output_shape` such that 

# If sparse_indices is scalar
 dense[i] = (i == sparse_indices ? sparse_values : default_value)
 
 # If sparse_indices is a vector, then for each i
 dense[sparse_indices[i]] = sparse_values[i]
 
 # If sparse_indices is an n by d matrix, then for each i in [0, n)
 dense[sparse_indices[i][0], ..., sparse_indices[i][d-1]] = sparse_values[i]
All other values in `dense` are set to `default_value`. If `sparse_values` is a scalar, all sparse indices are set to this single value.

Indices should be sorted in lexicographic order, and indices must not contain any repeats. If `validate_indices` is true, these properties are checked during execution.

Nested Classes

class SparseToDense.Options Optional attributes for SparseToDense  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of the tensor.
static <U extends TType, T extends TNumber> SparseToDense<U>
create(Scope scope, Operand<T> sparseIndices, Operand<T> outputShape, Operand<U> sparseValues, Operand<U> defaultValue, Options... options)
Factory method to create a class wrapping a new SparseToDense operation.
Output<U>
dense()
Dense output tensor of shape `output_shape`.
static SparseToDense.Options
validateIndices(Boolean validateIndices)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseToDense"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static SparseToDense<U> create (Scope scope, Operand<T> sparseIndices, Operand<T> outputShape, Operand<U> sparseValues, Operand<U> defaultValue, Options... options)

Factory method to create a class wrapping a new SparseToDense operation.

Parameters
scope current scope
sparseIndices 0-D, 1-D, or 2-D. `sparse_indices[i]` contains the complete index where `sparse_values[i]` will be placed.
outputShape 1-D. Shape of the dense output tensor.
sparseValues 1-D. Values corresponding to each row of `sparse_indices`, or a scalar value to be used for all sparse indices.
defaultValue Scalar value to set for indices not specified in `sparse_indices`.
options carries optional attributes values
Returns
  • a new instance of SparseToDense

public Output<U> dense ()

Dense output tensor of shape `output_shape`.

public static SparseToDense.Options validateIndices (Boolean validateIndices)

Parameters
validateIndices If true, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats.