support auto generate for activation_op swish (#53983)

Author: RedContritio

paddle/fluid/operators/activation_op.cc

@@ -176,21 +176,6 @@ SoftRelu Activation Operator.
   }
 };
 
-class SwishOpMaker : public framework::OpProtoAndCheckerMaker {
- public:
-  void Make() override {
-    AddInput("X", "Input of Swish operator");
-    AddOutput("Out", "Output of Swish operator");
-    AddAttr<float>("beta", "Constant beta of swish operator").SetDefault(1.0f);
-    AddComment(R"DOC(
-Swish Activation Operator.
-
-$$out = \\frac{x}{1 + e^{- \beta \ x}}$$
-
-)DOC");
-  }
-};
-
 class MishOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
   void Make() override {
@@ -406,7 +391,6 @@ FOR_EACH_ACTIVATION_OP(REGISTER_ACTIVATION_OP);
 REGISTER_ACTIVATION_CPU_KERNEL(soft_relu, SoftRelu)
 
 REGISTER_ACTIVATION_OP(mish, Mish, MishFunctor, MishGradFunctor);
-REGISTER_ACTIVATION_OP(swish, Swish, SwishFunctor, SwishGradFunctor);
 
 /* ==========================  register checkpoint ===========================*/
 REGISTER_OP_VERSION(leaky_relu)

paddle/phi/api/yaml/op_compat.yaml

@@ -2383,6 +2383,10 @@
 
 - op : swish
   backward : swish_grad
+  inputs :
+    x : X
+  outputs :
+    out : Out
   extra :
     attrs : [bool use_mkldnn = false]
 

paddle/phi/api/yaml/static_backward.yaml

@@ -121,6 +121,17 @@
     data_type : out_grad
   no_need_buffer : x
 
+- backward_op : swish_grad
+  forward : swish (Tensor x, float beta = 1.0f) -> Tensor(out)
+  args : (Tensor x, Tensor out_grad)
+  output : Tensor(x_grad)
+  infer_meta :
+    func : GeneralUnaryGradInferMeta
+    param : [x]
+  kernel :
+    func : swish_grad
+  inplace : (out_grad -> x_grad)
+
 - backward_op : tril_triu_grad
   forward : tril_triu (Tensor x, int diagonal = 0, bool lower = false)  -> Tensor(out)
   args : (Tensor out_grad, int diagonal, bool lower)

paddle/phi/api/yaml/static_ops.yaml

@@ -398,6 +398,16 @@
     param : [x, axes, starts, ends, strides]
   backward : strided_slice_grad
 
+- op : swish
+  args : (Tensor x, float beta = 1.0f)
+  output : Tensor(out)
+  infer_meta :
+    func : UnchangedInferMeta
+    param : [x]
+  kernel :
+    func : swish_raw
+  backward : swish_grad
+
 - op : tril_indices
   args : (int rows = 0, int cols = 0, int offset = 0, DataType dtype = DataType::INT64)
   output : Tensor(out)

paddle/phi/ops/compat/activation_sig.cc

@@ -42,26 +42,14 @@ namespace phi {
 DEFINE_ACT_GRAD_DEPX_OP_ARGMAP(HardTanh, "hardtanh", "t_min" comma "t_max");
 DEFINE_ACT_GRAD_DEPX_OP_ARGMAP(Mish, "mish", "threshold");
 
-KernelSignature SwishGradOpArgumentMapping(
-    const ArgumentMappingContext& ctx UNUSED) {
-  return KernelSignature("swish_grad", {"X", "Out@GRAD"}, {}, {"X@GRAD"});
-}
-
 KernelSignature HardSwishOpArgumentMapping(
     const ArgumentMappingContext& ctx UNUSED) {
   return KernelSignature("hardswish", {"X"}, {}, {"Out"});
 }
 
-KernelSignature SwishOpArgumentMapping(
-    const ArgumentMappingContext& ctx UNUSED) {
-  return KernelSignature("swish_raw", {"X"}, {"beta"}, {"Out"});
-}
-
 }  // namespace phi
 
 PD_REGISTER_BASE_KERNEL_NAME(hard_swish, hardswish);
 PD_REGISTER_ARG_MAPPING_FN(mish_grad, phi::MishGradOpArgumentMapping);
 
 PD_REGISTER_ARG_MAPPING_FN(hard_swish, phi::HardSwishOpArgumentMapping);
-PD_REGISTER_ARG_MAPPING_FN(swish_grad, phi::SwishGradOpArgumentMapping);
-PD_REGISTER_ARG_MAPPING_FN(swish, phi::SwishOpArgumentMapping);