mindspore.ops.HSigmoid
- class mindspore.ops.HSigmoid[source]
Hard sigmoid activation function.
Refer to
mindspore.ops.hardsigmoid()
for more details.- Inputs:
input_x (Tensor) - Tensor of shape \((N, *)\), where \(*\) means, any number of additional dimensions.
- Outputs:
Tensor, with the same type and shape as the input_x.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> hsigmoid = ops.HSigmoid() >>> input_x = Tensor(np.array([-1, -2, 0, 2, 1]), mindspore.float16) >>> result = hsigmoid(input_x) >>> print(result) [0.3333 0.1666 0.5 0.8335 0.6665]