Converts a sparse representation into a dense tensor.
tf.raw_ops.SparseToDense(
sparse_indices,
output_shape,
sparse_values,
default_value,
validate_indices=True,
name=None
)
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.
Returns | |
---|---|
A Tensor . Has the same type as sparse_values .
|