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paddle.sparse.nn.functional. relu6 ( x: Tensor, name: str | None = None ) → Tensor [source]

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sparse relu6 activation, requiring x to be a SparseCooTensor or SparseCsrTensor.

\[relu6(x) = min(max(0, x), 6)\]

Parameters

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

• 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., 8.])
>>> sparse_x = dense_x.to_sparse_coo(1)
>>> out = paddle.sparse.nn.functional.relu6(sparse_x)