coalesce¶
- paddle.Tensor. coalesce ( self, name=None )
-
the coalesced operator include sorted and merge, after coalesced, the indices of x is sorted and unique.
- Parameters
-
x (Tensor) – the input SparseCooTensor.
name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.
- Returns
-
return the SparseCooTensor after coalesced.
- Return type
-
Tensor
Examples
>>> import paddle >>> indices = [[0, 0, 1], [1, 1, 2]] >>> values = [1.0, 2.0, 3.0] >>> sp_x = paddle.sparse.sparse_coo_tensor(indices, values) >>> sp_x = sp_x.coalesce() >>> print(sp_x.indices()) Tensor(shape=[2, 2], dtype=int64, place=Place(cpu), stop_gradient=True, [[0, 1], [1, 2]]) >>> print(sp_x.values()) Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True, [3., 3.])