diff --git a/paddle/fluid/inference/tensorrt/plugin/gelu_op_plugin.cu b/paddle/fluid/inference/tensorrt/plugin/gelu_op_plugin.cu
index 3d84855bcbddb92c07f8536a40172687adaab7de..62cf059de492a16cff93c0972302292cf1dd2db0 100644
--- a/paddle/fluid/inference/tensorrt/plugin/gelu_op_plugin.cu
+++ b/paddle/fluid/inference/tensorrt/plugin/gelu_op_plugin.cu
@@ -42,10 +42,10 @@ bool GeluPlugin::supportsFormat(nvinfer1::DataType type,
   if (with_fp16_) {
     return ((type == nvinfer1::DataType::kFLOAT ||
              type == nvinfer1::DataType::kHALF) &&
-            (format == nvinfer1::PluginFormat::kNCHW));
+            (format == nvinfer1::PluginFormat::kLINEAR));
   } else {
     return ((type == nvinfer1::DataType::kFLOAT) &&
-            (format == nvinfer1::PluginFormat::kNCHW));
+            (format == nvinfer1::PluginFormat::kLINEAR));
   }
 }
 
diff --git a/paddle/fluid/inference/tensorrt/plugin/instance_norm_op_plugin.h b/paddle/fluid/inference/tensorrt/plugin/instance_norm_op_plugin.h
index f413505bdf43e9828050a5e3dc6851bd1effcb8d..421c4c7970ec68db9dd2c922439addcadb8059e5 100644
--- a/paddle/fluid/inference/tensorrt/plugin/instance_norm_op_plugin.h
+++ b/paddle/fluid/inference/tensorrt/plugin/instance_norm_op_plugin.h
@@ -112,7 +112,7 @@ class InstanceNormPlugin : public PluginTensorRT {
                       nvinfer1::PluginFormat format) const override {
     return ((type == nvinfer1::DataType::kFLOAT ||
              type == nvinfer1::DataType::kHALF) &&
-            (format == nvinfer1::PluginFormat::kNCHW));
+            (format == nvinfer1::PluginFormat::kLINEAR));
   }
 };
 
diff --git a/paddle/fluid/inference/tensorrt/plugin/pool_op_plugin.cu b/paddle/fluid/inference/tensorrt/plugin/pool_op_plugin.cu
index fb8043a9d90e4b0274087c7943eebefb5e545bc9..0d3b8ca1b4244a2f5fb79ef5cbc160a41c638f9a 100644
--- a/paddle/fluid/inference/tensorrt/plugin/pool_op_plugin.cu
+++ b/paddle/fluid/inference/tensorrt/plugin/pool_op_plugin.cu
@@ -174,7 +174,7 @@ bool PoolPluginDynamic::supportsFormatCombination(
   (in_out && pos < (nb_inputs + nb_outputs));
 
   return ((in_out[pos].type == nvinfer1::DataType::kFLOAT) &&
-          in_out[pos].format == nvinfer1::PluginFormat::kNCHW);
+          in_out[pos].format == nvinfer1::PluginFormat::kLINEAR);
 }
 
 nvinfer1::DataType PoolPluginDynamic::getOutputDataType(
diff --git a/paddle/fluid/inference/tensorrt/plugin/prelu_op_plugin.cu b/paddle/fluid/inference/tensorrt/plugin/prelu_op_plugin.cu
index ad3618bc67b0457efbfba52cf6ecfa1c8ee7c398..09e39a3b9876f0951b3064c632ba65701158e3e4 100644
--- a/paddle/fluid/inference/tensorrt/plugin/prelu_op_plugin.cu
+++ b/paddle/fluid/inference/tensorrt/plugin/prelu_op_plugin.cu
@@ -129,7 +129,7 @@ bool PReluPluginDynamic::supportsFormatCombination(
   (in_out && pos < (nb_inputs + nb_outputs));
 
   return ((in_out[pos].type == nvinfer1::DataType::kFLOAT) &&
-          in_out[pos].format == nvinfer1::PluginFormat::kNCHW);
+          in_out[pos].format == nvinfer1::PluginFormat::kLINEAR);
 }
 
 nvinfer1::DataType PReluPluginDynamic::getOutputDataType(
diff --git a/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu b/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu
index 42d9018fd057952975ffc572828701662e5ba231..e976496ec44ca83bc34b9e7b031d247f67a8082d 100644
--- a/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu
+++ b/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu
@@ -90,10 +90,10 @@ bool SlicePlugin::supportsFormat(nvinfer1::DataType type,
   if (with_fp16_) {
     return ((type == nvinfer1::DataType::kFLOAT ||
              type == nvinfer1::DataType::kHALF) &&
-            (format == nvinfer1::PluginFormat::kNCHW));
+            (format == nvinfer1::PluginFormat::kLINEAR));
   } else {
     return ((type == nvinfer1::DataType::kFLOAT) &&
-            (format == nvinfer1::PluginFormat::kNCHW));
+            (format == nvinfer1::PluginFormat::kLINEAR));
   }
 }
 
diff --git a/paddle/fluid/inference/tensorrt/plugin/test_split_plugin.cc b/paddle/fluid/inference/tensorrt/plugin/test_split_plugin.cc
index 6636513a555f9e638e1dfdb54986010c76785e2a..46f585e6557460c850b6419049b4dbf31d592509 100644
--- a/paddle/fluid/inference/tensorrt/plugin/test_split_plugin.cc
+++ b/paddle/fluid/inference/tensorrt/plugin/test_split_plugin.cc
@@ -33,7 +33,7 @@ TEST(split_op_plugin, test_plugin) {
   input_dims.push_back(in_dims);
   sp_plugin.configurePlugin(input_dims.data(), 1, nullptr, 2,
                             input_types.data(), nullptr, nullptr, nullptr,
-                            nvinfer1::PluginFormat::kNCHW, 4);
+                            nvinfer1::PluginFormat::kLINEAR, 4);
   sp_plugin.initialize();
   sp_plugin.getPluginType();
   sp_plugin.canBroadcastInputAcrossBatch(0);
diff --git a/paddle/fluid/inference/tensorrt/plugin/trt_plugin.cc b/paddle/fluid/inference/tensorrt/plugin/trt_plugin.cc
index 55bc786746beafcf7b2df98d54e9391e6a59ba24..e2f3810cc34e012a073942deafaf61616d9000e2 100644
--- a/paddle/fluid/inference/tensorrt/plugin/trt_plugin.cc
+++ b/paddle/fluid/inference/tensorrt/plugin/trt_plugin.cc
@@ -68,7 +68,7 @@ size_t PluginTensorRT::getBaseSerializationSize() {
 bool PluginTensorRT::supportsFormat(nvinfer1::DataType type,
                                     nvinfer1::PluginFormat format) const {
   return ((type == nvinfer1::DataType::kFLOAT) &&
-          (format == nvinfer1::PluginFormat::kNCHW));
+          (format == nvinfer1::PluginFormat::kLINEAR));
 }
 
 void PluginTensorRT::configureWithFormat(
diff --git a/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h b/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h
index 37be06bba3aebd518e8775c7ed8ccd24aa7fa7e1..9c4add0688987d0dcb979c56b3686b224b80ab4d 100644
--- a/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h
+++ b/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h
@@ -181,7 +181,7 @@ class PluginTensorRTV2Ext : public nvinfer1::IPluginV2Ext {
   bool supportsFormat(nvinfer1::DataType type,
                       nvinfer1::PluginFormat format) const override {
     return ((type == nvinfer1::DataType::kFLOAT) &&
-            (format == nvinfer1::PluginFormat::kNCHW));
+            (format == nvinfer1::PluginFormat::kLINEAR));
   }
   // Initialize the layer for execution.
   // This is called when the engine is created.