Function abs

python/paddle/sparse/unary.py:708–740

Calculate elementwise absolute value of x, requiring x to be a SparseCooTensor or SparseCsrTensor. .. math:: out = |x| Parameters: x (Tensor): The input Sparse Tensor with data type float32, float64, complex64, complex128. name (str|None, optional): Name for t

(x: Tensor, name: str | None = None)

def abs(x: Tensor, name: str | None = None) -> Tensor:
    """
    Calculate elementwise absolute value of x, requiring x to be a SparseCooTensor or SparseCsrTensor.

    .. math::

        out = |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 :ref:`api_guide_Name`.

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

    Examples:
        .. code-block:: pycon

            >>> import paddle

            >>> dense_x = paddle.to_tensor([-2, 0, 3], dtype='float32')
            >>> sparse_x = dense_x.to_sparse_coo(1)
            >>> out = paddle.sparse.abs(sparse_x)
            >>> out
            Tensor(shape=[3], dtype=paddle.float32, place=Place(cpu), stop_gradient=True,
                indices=[[0, 2]],
                values=[2., 3.])
    """
    assert in_dynamic_or_pir_mode(), (
        "Currently, Sparse API only support dynamic mode or pir mode."
    )
    return _C_ops.sparse_abs(x)


def coalesce(x: Tensor, name: str | None = None) -> Tensor: