tensorflow::ops::SparseToDense

#include <sparse_ops.h>

Converts a sparse representation into a dense tensor.

Summary

Builds an array dense with shape output_shape such that

```prettyprint 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.

Arguments:

• scope: A Scope object
• sparse_indices: 0-D, 1-D, or 2-D. sparse_indices[i] contains the complete index where sparse_values[i] will be placed.
• output_shape: 1-D. Shape of the dense output tensor.
• sparse_values: 1-D. Values corresponding to each row of sparse_indices, or a scalar value to be used for all sparse indices.
• default_value: Scalar value to set for indices not specified in sparse_indices.

Optional attributes (see Attrs):

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

Returns:

• Output: Dense output tensor of shape output_shape.

Public attributes

::tensorflow::Output dense

Public functions

 SparseToDense(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sparse_indices,
  ::tensorflow::Input output_shape,
  ::tensorflow::Input sparse_values,
  ::tensorflow::Input default_value
)

 SparseToDense(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input sparse_indices,
  ::tensorflow::Input output_shape,
  ::tensorflow::Input sparse_values,
  ::tensorflow::Input default_value,
  const SparseToDense::Attrs & attrs
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs ValidateIndices(
  bool x
)