layers.hardsigmoid slope默认为0.2

[zhaoying9105]

bug描述 Describe the Bug

1. paddle.nn.functional.hardsigmoid 默认参数是1/6 python/paddle/nn/functional/activation.py

   def hardsigmoid(x, slope=0.1666667, offset=0.5, name=None):

2. fluid.layers.hard_sigmoid 默认参数是0.2 python/paddle/fluid/layers/nn.py

   @templatedoc()
   def hard_sigmoid(x, slope=0.2, offset=0.5, name=None):
    ....

   另外paddle/fluid/operators/activation_op.cc 默认的slope参数也是0.2

   
   class HardSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
   public:
   void Make() override {
   AddInput("X", "An N-D Tensor with data type float32, float64. ");
   AddOutput("Out", "A Tensor with the same shape as input. ");
   AddAttr<float>("slope",
                  "The slope of the linear approximation of sigmoid. Its "
                  "value MUST BE positive. Default is 0.2. ")
       .SetDefault(0.2f);
   AddAttr<float>(
       "offset",
       "The offset of the linear approximation of sigmoid. Default is 0.5. ")
       .SetDefault(0.5f);
   AddComment(R"DOC(
   HardSigmoid Activation Operator.

A 3-part piecewise linear approximation of sigmoid(https://arxiv.org/abs/1603.00391), which is much faster than sigmoid.

$$out = \max(0, \min(1, slope * x + offset))$$

)DOC"); } };

是不是应该统一一下

### 其他补充信息 Additional Supplementary Information

_No response_

[xiaoxiaohehe001]

好的，我们会尽快对齐一下

[Ligoml]

你好，fluid下的API目前不推荐使用，如果你使用paddle.nn.functional.hardsigmoid没有出现其他问题，那我们建议是不做修改~