relu:
    description: |
        Computes ReLU (Rectified Linear Unit activation function) of input tensors element-wise.
    
        It returns :math:`\max(input,\  0)` element-wise. Specially, the neurons with the negative output
        will be suppressed and the active neurons will stay the same.

        .. math::

            ReLU(input) = (input)^+ = \max(0, input)

        ReLU Activation Function Graph:
    
        .. image:: ../images/ReLU.png
            :align: center

        Args:
            input (Tensor): The input Tensor.

        Returns:
            Tensor, with the same dtype and shape as the `input`.
    
        Raises:
            TypeError: If dtype of `input` is not Number type.
            TypeError: If `input` is not a Tensor.

        Supported Platforms:
            ``Ascend`` ``GPU`` ``CPU``
    
        Examples:
            >>> import mindspore
            >>> import numpy as np
            >>> from mindspore import Tensor, ops
            >>> input = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32)
            >>> output = ops.relu(input)
            >>> print(output)
            [[0. 4. 0.]
             [2. 0. 9.]]