log1p¶

paddle.sparse. log1p ( x: Tensor, name: str | None = None ) → Tensor [source]

Calculate the natural log of (1+x), requiring x to be a SparseCooTensor or SparseCsrTensor.

\[out = ln(1+x)\]

Parameters

• x (Tensor) – The input Sparse Tensor with data type float32, float64, complex64, complex128.

• name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

A Sparse Tensor with the same data type and shape as x .

Examples

>>> import paddle

>>> dense_x = paddle.to_tensor([-2, 0, 1], dtype='float32')
>>> sparse_x = dense_x.to_sparse_coo(1)
>>> out = paddle.sparse.log1p(sparse_x)
>>> out
Tensor(shape=[3], dtype=paddle.float32, place=Place(cpu), stop_gradient=True,
    indices=[[0, 2]],
    values=[nan       , 0.69314718])