mindspore.ops.coo_relu6
- mindspore.ops.coo_relu6(x: COOTensor)[source]
Computes ReLU (Rectified Linear Unit) upper bounded by 6 of input coo_tensors element-wise.
\[\text{ReLU6}(x) = \min(\max(0,x), 6)\]It returns \(\min(\max(0,x), 6)\) element-wise.
- Parameters
x (COOTensor) – Input COOTensor, with float16 or float32 data type.
- Returns
COOTensor, with the same dtype and shape as the x.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> from mindspore import dtype as mstype >>> from mindspore import Tensor, ops, COOTensor >>> indices = Tensor([[0, 1], [1, 2]], dtype=mstype.int64) >>> values = Tensor([-1, 2], dtype=mstype.float32) >>> shape = (3, 4) >>> x = COOTensor(indices, values, shape) >>> output = ops.coo_relu6(x) >>> print(output.values) [0. 2.]