mindspore.ops.relu6
- mindspore.ops.relu6(x)[source]
Computes ReLU (Rectified Linear Unit) upper bounded by 6 of input tensors element-wise.
\[\text{ReLU6}(x) = \min(\max(0,x), 6)\]It returns \(\min(\max(0,x), 6)\) element-wise.
ReLU6 Activation Function Graph:
- Parameters
x (Tensor) – Tensor of shape \((N, *)\), where \(*\) means any number of additional dimensions. Data type must be float16, float32.
- Returns
Tensor, with the same dtype and shape as the x.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, ops >>> x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32) >>> result = ops.relu6(x) >>> print(result) [[0. 4. 0.] [2. 0. 6.]]