[inference][trt]Unary operation support 0d (#53506)

* fix trt Unary operation do not support 0d when TRT < 8.6

* update unary ut

* add rsqrt to unary_list

* move rsqrt to act_list

paddle/fluid/inference/tensorrt/op_teller.cc

@@ -104,7 +104,16 @@ struct SimpleOpTypeSetTeller : public Teller {
         "atanh",      "ceil",        "celu",
         "erf",        "floor",       "round",
         "sign",       "silu",        "logical_not",
-        "reciprocal", "tanh_shrink", "logsigmoid"};
+        "reciprocal", "tanh_shrink", "logsigmoid",
+        "rsqrt"};
+    std::unordered_set<std::string> unary_list = {
+        "exp",        "log",  "sqrt",        "abs",        "sin",
+        "cos",        "tan",  "tanh",        "sinh",       "cosh",
+        "asin",       "acos", "atan",        "asinh",      "acosh",
+        "atanh",      "ceil", "celu",        "floor",      "round",
+        "sign",       "silu", "logical_not", "reciprocal", "tanh_shrink",
+        "logsigmoid", "erf",  "bitwise_not", "equal",      "not_equal",
+        "rsqrt"};
     if (act_op_list.find(op_type) != act_op_list.end()) {
       auto* block = desc.Block();
       if (block == nullptr) {
@@ -127,9 +136,15 @@ struct SimpleOpTypeSetTeller : public Teller {
         VLOG(3) << op_type << " op does not support tensorrt.";
         return false;
       }
+#endif
+#if !IS_TRT_VERSION_GE(8600)
+      if (x_shape.size() == 0 && unary_list.find(op_type) != unary_list.end()) {
+        VLOG(3) << op_type
+                << " op does not support 0 dim input when TensorRT < 8.6.";
+        return false;
+      }
 #endif
     }
-
     // In static shape in Paddle-TRT, we can't allow that one op has a
     // 1D intermediate tensor as input.
     if (!with_dynamic_shape) {

test/ir/inference/test_trt_convert_activation.py

@@ -49,7 +49,6 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
                 for op_type in [
                     "relu",
                     "sigmoid",
-                    "tanh",
                     "relu6",
                     "elu",
                     "selu",
@@ -146,6 +145,15 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
         def generate_trt_nodes_num(attrs, dynamic_shape):
             if not dynamic_shape and (self.dims == 1 or self.dims == 0):
                 return 0, 3
+            runtime_version = paddle_infer.get_trt_runtime_version()
+            if (
+                runtime_version[0] * 1000
+                + runtime_version[1] * 100
+                + runtime_version[2] * 10
+                < 8600
+                and self.dims == 0
+            ) and program_config.ops[0].type in ["celu", "logsigmoid"]:
+                return 0, 3
             return 1, 2
 
         attrs = [

test/ir/inference/test_trt_convert_unary.py

@@ -35,6 +35,8 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
         self.trt_param.workspace_size = 1073741824
 
         def generate_input1(dims, batch, attrs: List[Dict[str, Any]]):
+            if dims == 0:
+                return np.random.random([]).astype(np.float32)
             if dims == 2:
                 return np.random.random([3, 32]).astype(np.float32)
             elif dims == 3:
@@ -43,6 +45,8 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
                 return np.random.random([batch, 3, 32, 32]).astype(np.float32)
 
         def generate_int_input(dims, batch, attrs: List[Dict[str, Any]]):
+            if dims == 0:
+                return np.random.random([]).astype(np.int32)
             if dims == 2:
                 return np.random.random([3, 32]).astype(np.int32)
             elif dims == 3:
@@ -50,7 +54,7 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
             else:
                 return np.random.random([batch, 3, 32, 32]).astype(np.int32)
 
-        for dims in [2, 3, 4]:
+        for dims in [0, 2, 3, 4]:
             for batch in [1, 4]:
                 for op_type in [
                     "exp",
@@ -60,6 +64,7 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
                     "sin",
                     "cos",
                     "tan",
+                    "tanh",
                     "sinh",
                     "cosh",
                     "asin",
@@ -179,6 +184,15 @@ class TrtConvertActivationTest(TrtLayerAutoScanTest):
                 )
             ):
                 return 0, 3
+            runtime_version = paddle_infer.get_trt_runtime_version()
+            if (
+                runtime_version[0] * 1000
+                + runtime_version[1] * 100
+                + runtime_version[2] * 10
+                < 8600
+                and self.dims == 0
+            ):
+                return 0, 3
             return 1, 2
 
         attrs = [