diff --git a/paddle/fluid/inference/tensorrt/convert/cast_op.cc b/paddle/fluid/inference/tensorrt/convert/cast_op.cc
index ab62c43d851eb84ab4c34dfb3629e1ab6ed22d26..b2b06744d984ab685de90558c4bbb2481d5ddd1b 100644
--- a/paddle/fluid/inference/tensorrt/convert/cast_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/cast_op.cc
@@ -43,13 +43,13 @@ class CastOpConverter : public OpConverter {
 
     switch (out_dtype) {
       case 2:  // INT32 = 2
-        layer->getOutput(0)->setType(nvinfer1::DataType::kINT32);
+        layer->setOutputType(0, nvinfer1::DataType::kINT32);
         break;
       case 4:  // FP16 = 4
-        layer->getOutput(0)->setType(nvinfer1::DataType::kHALF);
+        layer->setOutputType(0, nvinfer1::DataType::kHALF);
         break;
       case 5:  // FP32 = 5
-        layer->getOutput(0)->setType(nvinfer1::DataType::kFLOAT);
+        layer->setOutputType(0, nvinfer1::DataType::kFLOAT);
         break;
       default:
         LOG(ERROR) << "Unable to convert a fluid data type(" << out_dtype
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_cast.py b/python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_cast.py
index 76b46313f9590751c3ee31b5ef673e6336ec8a36..c063019a8f475d194ca06e8df4ca7ab01dfc6715 100644
--- a/python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_cast.py
+++ b/python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_cast.py
@@ -47,18 +47,28 @@ class TrtConvertCastTest(TrtLayerAutoScanTest):
             else:
                 return np.ones([1, 3, 64, 64]).astype(np.float32)
 
-        for in_dtype in [0, 2, 4, 5, 6]:
-            for out_dtype in [0, 2, 4, 5, 6]:
-                dics = [{"in_dtype": in_dtype, "out_dtype": out_dtype}]
+        for in_dtype in [0, 2, 5, 6]:
+            for out_dtype in [0, 2, 5, 6]:
+                dics = [
+                    {"in_dtype": in_dtype, "out_dtype": out_dtype},
+                    {"in_dtype": out_dtype, "out_dtype": in_dtype},
+                ]
 
                 ops_config = [
                     {
                         "op_type": "cast",
                         "op_inputs": {"X": ["input_data"]},
-                        "op_outputs": {"Out": ["cast_output_data"]},
+                        "op_outputs": {"Out": ["cast_output_data0"]},
                         "op_attrs": dics[0],
-                    }
+                    },
+                    {
+                        "op_type": "cast",
+                        "op_inputs": {"X": ["cast_output_data0"]},
+                        "op_outputs": {"Out": ["cast_output_data1"]},
+                        "op_attrs": dics[1],
+                    },
                 ]
+
                 ops = self.generate_op_config(ops_config)
 
                 program_config = ProgramConfig(
@@ -69,7 +79,7 @@ class TrtConvertCastTest(TrtLayerAutoScanTest):
                             data_gen=partial(generate_input, in_dtype)
                         )
                     },
-                    outputs=["cast_output_data"],
+                    outputs=["cast_output_data1"],
                 )
 
                 yield program_config