```
# 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]
```

                          << "the length of attribute 'sparse_types'";
  }
  if (op.getSparseIndices().size() != sparse_types_count) {
    return op.emitError() << "output 'sparse_indices' should have same length "
                          << "as attribute 'sparse_types'";
  }
  if (op.getSparseShapes().size() != sparse_types_count) {

  // expected-error @+1 {{output 'sparse_indices' should have same length as attribute 'sparse_types'}}