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.]]