mindspore.ops.ReLU6

class mindspore.ops.ReLU6[source]

Computes ReLU (Rectified Linear Unit) upper bounded by 6 of input tensors element-wise.

Refer to mindspore.ops.relu6() for more details.

Inputs:

input_x (Tensor) - Tensor of shape \((N, *)\), where \(*\) means any number of additional dimensions. Data type must be float16, float32.

Outputs:

Tensor, with the same type and shape as the input_x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32)
>>> relu6 = ops.ReLU6()
>>> result = relu6(input_x)
>>> print(result)
[[0. 4. 0.]
 [2. 0. 6.]]