to_sparse_coo¶

paddle.Tensor. to_sparse_coo ( self, sparse_dim )

Notes:

This API is ONLY available in Dygraph mode

Convert the current DenseTensor to SparseTensor in COO format.

Returns

A SparseCooTensor

Return type

Tensor

Examples

>>> import paddle
>>> dense_x = [[0, 1, 0, 2], [0, 0, 3, 4]]
>>> dense_x = paddle.to_tensor(dense_x, dtype='float32')
>>> sparse_x = dense_x.to_sparse_coo(sparse_dim=2)
>>> print(sparse_x)
Tensor(shape=[2, 4], dtype=paddle.float32, place=Place(cpu), stop_gradient=True,
       indices=[[0, 0, 1, 1],
                [1, 3, 2, 3]],
       values=[1., 2., 3., 4.])