mindspore.nn.ReLU

class mindspore.nn.ReLU[source]

Rectified Linear Unit activation function.

\[\text{ReLU}(x) = (x)^+ = \max(0, x),\]

It returns element-wise \(\max(0, x)\).

Note

The neurons with the negative output will be suppressed and the active neurons will stay the same.

ReLU Activation Function Graph:

Inputs:

x (Tensor) - The input of ReLU is a Tensor of any dimension. The data type is number .

Outputs:

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

Raises: TypeError – If dtype of x is not a number.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, nn
>>> import numpy as np
>>> x = Tensor(np.array([-1, 2, -3, 2, -1]), mindspore.float16)
>>> relu = nn.ReLU()
>>> output = relu(x)
>>> print(output)
[0. 2. 0. 2. 0.]