fix prelu trt convert (#39389)

paddle/fluid/inference/tensorrt/op_teller.cc

@@ -1203,8 +1203,9 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
       auto x_var_name = desc.Input("X")[0];
       auto* x_var_desc = block->FindVar(x_var_name);
       const auto x_shape = x_var_desc->GetShape();
-      if (x_shape.size() == 1) {
-        VLOG(3) << "prelu op does not support input's dim is 1 in tensorrt.";
+      if (!with_dynamic_shape && x_shape.size() == 1) {
+        VLOG(3) << "prelu op does not support input's dim is 1 in tensorrt "
+                   "with static shape.";
         return false;
       }
 

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_prelu.py

@@ -172,29 +172,30 @@ class TrtConvertPreluTest(TrtLayerAutoScanTest):
             for i in range(len(program_config.ops))
         ]
 
+        def generate_trt_nodes_num(attrs, dynamic_shape):
+            if not dynamic_shape and self.dim1 == 0 and self.dim2 == 0 and self.dim3 == 0:
+                return 0, 3
+            return 1, 2
+
         # for static_shape
         clear_dynamic_shape()
         self.trt_param.precision = paddle_infer.PrecisionType.Float32
-        yield self.create_inference_config(), (1, 2), 1e-5
+        yield self.create_inference_config(), generate_trt_nodes_num(
+            attrs, False), 1e-5
         self.trt_param.precision = paddle_infer.PrecisionType.Half
-        yield self.create_inference_config(), (1, 2), 1e-5
+        yield self.create_inference_config(), generate_trt_nodes_num(
+            attrs, False), 1e-5
 
         # for dynamic_shape
         generate_dynamic_shape(attrs)
         self.trt_param.precision = paddle_infer.PrecisionType.Float32
-        yield self.create_inference_config(), (1, 2), 1e-5
+        yield self.create_inference_config(), generate_trt_nodes_num(attrs,
+                                                                     True), 1e-5
         self.trt_param.precision = paddle_infer.PrecisionType.Half
-        yield self.create_inference_config(), (1, 2), 1e-5
+        yield self.create_inference_config(), generate_trt_nodes_num(attrs,
+                                                                     True), 1e-5
 
     def add_skip_trt_case(self):
-        def teller1(program_config, predictor_config):
-            if self.dim1 == 0 and self.dim2 == 0 and self.dim3 == 0:
-                return True
-            return False
-
-        self.add_skip_case(teller1, SkipReasons.TRT_NOT_SUPPORT,
-                           "Trt does not support 1-dimensional input.")
-
         ver = paddle_infer.get_trt_compile_version()
         if ver[0] * 1000 + ver[1] * 100 + ver[0] * 10 < 7000: