asinh

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

Calculate elementwise asinh of SparseTensor, requiring x to be a SparseCooTensor or SparseCsrTensor.

\[out = asinh(x)\]

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 api_guide_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.])
>>> sparse_x = dense_x.to_sparse_coo(1)
>>> out = paddle.sparse.asinh(sparse_x)
>>> out
Tensor(shape=[3], dtype=paddle.float32, place=Place(cpu), stop_gradient=True,
    indices=[[0, 2]],
    values=[-1.44363546,  0.88137358])