fix convert ut framework problem (#35112)

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

@@ -137,8 +137,11 @@ def create_fake_model(program_config):
             op_desc._set_attr(name, values)
         for name, values in op_config.outputs.items():
             op_desc.set_output(name, values)
-            var_desc = main_block_desc.var(cpt.to_bytes(name))
-            var_desc.set_type(core.VarDesc.VarType.LOD_TENSOR)
+            for v in values:
+                var_desc = main_block_desc.var(cpt.to_bytes(v))
+                var_desc.set_type(core.VarDesc.VarType.LOD_TENSOR)
+                var_desc.set_dtype(
+                    convert_np_dtype_to_dtype_(tensor_config.dtype))
         op_desc.infer_var_type(main_block_desc)
         op_desc.infer_shape(main_block_desc)
 

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

@@ -100,6 +100,12 @@ class TrtLayerAutoScanTest(AutoScanTest):
                         attrs=op_attr))
 
             self.update_program_input_and_weight_with_attr(op_attr_list)
+            # if no weight need to save, we create a place_holder to help seriazlie params.
+            if not self.program_weights:
+                self.program_weights = {
+                    "place_holder_weight": TensorConfig(
+                        shape=[1], data=np.array([1]).astype(np.float32))
+                }
             program_config = ProgramConfig(
                 ops=ops,
                 weights=self.program_weights,