diff --git a/tensorflow/contrib/tensorrt/test/tf_trt_integration_test.py b/tensorflow/contrib/tensorrt/test/tf_trt_integration_test.py
index 839a680e84045e..63457a42adae69 100644
--- a/tensorflow/contrib/tensorrt/test/tf_trt_integration_test.py
+++ b/tensorflow/contrib/tensorrt/test/tf_trt_integration_test.py
@@ -55,17 +55,18 @@
   to_string = lambda s: s.decode("utf-8")
 
 
-def GetSingleEngineGraphDef():
+# TODO(aaroey): test graph with different dtypes.
+def GetSingleEngineGraphDef(dtype=dtypes.float32):
   """Create a graph containing single segment."""
   g = ops.Graph()
   with g.as_default():
     inp = array_ops.placeholder(
-        dtype=dtypes.float32, shape=[None] + INPUT_DIMS[1:], name=INPUT_NAME)
+        dtype=dtype, shape=[None] + INPUT_DIMS[1:], name=INPUT_NAME)
     with g.device("/GPU:0"):
       conv_filter = constant_op.constant(
           [[[[1., 0.5, 4., 6., 0.5, 1.], [1., 0.5, 1., 1., 0.5, 1.]]]],
           name="weights",
-          dtype=dtypes.float32)
+          dtype=dtype)
       conv = nn.conv2d(
           input=inp,
           filter=conv_filter,
@@ -73,7 +74,7 @@ def GetSingleEngineGraphDef():
           padding="SAME",
           name="conv")
       bias = constant_op.constant(
-          [4., 1.5, 2., 3., 5., 7.], name="bias", dtype=dtypes.float32)
+          [4., 1.5, 2., 3., 5., 7.], name="bias", dtype=dtype)
       added = nn.bias_add(conv, bias, name="bias_add")
       relu = nn.relu(added, "relu")
       identity = array_ops.identity(relu, "identity")
@@ -83,6 +84,7 @@ def GetSingleEngineGraphDef():
   return g.as_graph_def()
 
 
+# TODO(aaroey): test graph with different dtypes.
 def GetMultiEngineGraphDef(dtype=dtypes.float32):
   """Create a graph containing multiple segment."""
   g = ops.Graph()