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mindspore.ops.ReLUV2

class mindspore.ops.ReLUV2(*args, **kwargs)

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

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

Inputs:

• input_x (Tensor) - The input tensor must be a 4-D tensor.

Outputs:

• output (Tensor) - Has the same type and shape as the input_x.

• mask (Tensor) - A tensor whose data type must be uint8.

Raises

• TypeError – If input_x is not a Tensor.

• ValueError – If shape of input_x is not 4-D.

Supported Platforms:

Ascend

Examples

>>> input_x = Tensor(np.array([[[[1, -2], [-3, 4]], [[-5, 6], [7, -8]]]]), mindspore.float32)
>>> relu_v2 = ops.ReLUV2()
>>> output, mask= relu_v2(input_x)
>>> print(output)
[[[[1. 0.]
   [0. 4.]]
  [[0. 6.]
   [7. 0.]]]]
>>> print(mask)
[[[[[1 0]
    [2 0]]
   [[2 0]
    [1 0]]]]]