diff --git a/tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc b/tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc
index f3db42509ec..3d46163f75b 100644
--- a/tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc
+++ b/tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc
@@ -61,6 +61,7 @@ limitations under the License.
 #if GOOGLE_TENSORRT
 #include "cuda/include/cuda_runtime_api.h"
 #include "tensorrt/include/NvInfer.h"
+#include "tensorrt/include/NvInferPlugin.h"
 namespace tensorflow {
 namespace tensorrt {
 namespace convert {
@@ -957,6 +958,26 @@ tensorflow::Status ConvertAfterShapes(ConversionParams& params) {
   LOG(INFO) << "Number of TensorRT candidate segments: "
             << initial_segments.size();
 
+  // Check if plugins can be aaccessed.
+  int num_trt_plugins = 0;
+  nvinfer1::IPluginCreator* const* trt_plugin_creator_list =
+    getPluginRegistry()->getPluginCreatorList(&num_trt_plugins);
+  if (!trt_plugin_creator_list) {
+    LOG(WARNING) << "Can not find any TensorRT plugins in registry.";
+  }
+  else {
+    VLOG(1) << "Found the following " << num_trt_plugins << " TensorRT plugins in registry:";
+    for (int i = 0; i < num_trt_plugins; ++i) {
+      if (!trt_plugin_creator_list[i]) {
+        LOG(WARNING) << "TensorRT plugin at index " << i <<
+          " is not accessible (null pointer returned by getPluginCreatorList for this plugin)";
+      }
+      else {
+        VLOG(1) << "  " << trt_plugin_creator_list[i]->getPluginName();
+      }
+    }
+  }
+
   // Get the EngineInfo for each segment.
   std::unordered_map<string, tensorflow::Node*> node_map;
   TF_RETURN_IF_ERROR(BuildNodeMap(graph, &node_map));
diff --git a/tensorflow/python/compiler/tensorrt/trt_convert.py b/tensorflow/python/compiler/tensorrt/trt_convert.py
index 33b5e50418f..90ef73621bb 100644
--- a/tensorflow/python/compiler/tensorrt/trt_convert.py
+++ b/tensorflow/python/compiler/tensorrt/trt_convert.py
@@ -45,6 +45,7 @@ from tensorflow.python.saved_model import builder
 from tensorflow.python.saved_model import loader
 from tensorflow.python.saved_model import tag_constants
 from tensorflow.python.training import saver
+import ctypes
 
 
 def _to_bytes(s):
@@ -482,6 +483,18 @@ class TrtGraphConverter(GraphConverter):
       tf_logging.info("Running against TensorRT version %s" % ".".join(
           [str(x) for x in loaded_version]))
 
+    # Load TensorRT plugins.
+    try:
+      plugin_lib = ctypes.CDLL("libnvinfer_plugin.so")
+    except Exception as e:
+      tf_logging.warn("Failed to load libnvinfer_plugin.so" +  str(e))
+    else:
+      # Initialize and register TensorRT plugins.
+      plugin_lib_registered = plugin_lib.initLibNvInferPlugins(None, "")
+      if plugin_lib_registered != 1:
+        tf_logging.warn("Failed to initialize and register TensorRT plugins "
+          "with initLibNvInferPlugins")
+
     # Check input arguments.
     if precision_mode.upper() not in TrtPrecisionMode.supported_precision_modes(
     ):
diff --git a/third_party/tensorrt/tensorrt_configure.bzl b/third_party/tensorrt/tensorrt_configure.bzl
index c6de25b33e3..ee32905eca3 100644
--- a/third_party/tensorrt/tensorrt_configure.bzl
+++ b/third_party/tensorrt/tensorrt_configure.bzl
@@ -24,7 +24,7 @@ _TF_TENSORRT_CONFIG_REPO = "TF_TENSORRT_CONFIG_REPO"
 _TF_TENSORRT_VERSION = "TF_TENSORRT_VERSION"
 
 _TF_TENSORRT_LIBS = ["nvinfer"]
-_TF_TENSORRT_HEADERS = ["NvInfer.h", "NvUtils.h"]
+_TF_TENSORRT_HEADERS = ["NvInfer.h", "NvUtils.h", "NvInferPlugin.h"]
 
 _DEFINE_TENSORRT_SONAME_MAJOR = "#define NV_TENSORRT_SONAME_MAJOR"
 _DEFINE_TENSORRT_SONAME_MINOR = "#define NV_TENSORRT_SONAME_MINOR"