mindspore.ops.ReLU

class mindspore.ops.ReLU[source]

Computes ReLU (Rectified Linear Unit activation function) of input tensors element-wise.

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

Inputs:

input_x (Tensor) - Tensor of shape \((N, *)\), where \(*\) means, any number of additional dimensions, data type is number.

Outputs:

Tensor of shape \((N, *)\), with the same dtype and shape as the input_x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> input_x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32)
>>> relu = ops.ReLU()
>>> output = relu(input_x)
>>> print(output)
[[0. 4. 0.]
 [2. 0. 9.]]