add output scale and trt op teller support for hard_swish and hard_sigmoid (#26499)

paddle/fluid/inference/tensorrt/op_teller.cc

@@ -24,6 +24,8 @@ struct SimpleOpTypeSetTeller : public Teller {
 #if IS_TRT_VERSION_GE(5130)
     teller_set.insert("relu6");
     teller_set.insert("hard_sigmoid");
+    int8_teller_set.insert("relu6");
+    int8_teller_set.insert("hard_sigmoid");
 #endif
 #if IS_TRT_VERSION_GE(6000)
     teller_set.insert("fused_embedding_eltwise_layernorm");
@@ -53,11 +55,11 @@ struct SimpleOpTypeSetTeller : public Teller {
                                                   "elementwise_add",
                                                   "leaky_relu",
                                                   "fc",
-                                                  "relu6",
                                                   "concat",
                                                   "scale",
                                                   "elementwise_mul",
-                                                  "conv2d_transpose"};
+                                                  "conv2d_transpose",
+                                                  "hard_swish"};
   std::unordered_set<std::string> teller_set{
       "mul",
       "conv2d",

python/paddle/fluid/contrib/slim/quantization/quantization_pass.py

@@ -66,6 +66,8 @@ _out_scale_op_list = [
     "concat",
     "elementwise_mul",
     "scale",
+    "hard_swish",
+    "hard_sigmoid",
 ]
 
 # list op real input and output names, to avoid processing input such as AxisTensor.
@@ -109,6 +111,8 @@ _op_real_in_out_name = {
     "sigmoid": [["X"], ["Out"]],
     "elementwise_mul": [["X", "Y"], ["Out"]],
     "scale": [["X"], ["Out"]],
+    "hard_swish": [["X"], ["Out"]],
+    "hard_sigmoid": [["X"], ["Out"]],
 }
 
 _conv_ops = ['conv2d', 'depthwise_conv2d', 'conv2d_transpose']