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]
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
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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.
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static <U extends TType, T extends TNumber> SparseToDense<U> | |
Output<U> |
dense()
Dense output tensor of shape `output_shape`.
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static SparseToDense.Options |
validateIndices(Boolean validateIndices)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 |
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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 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. |
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