diff --git a/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.cc b/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.cc
index 94c07e89778..79c1804830e 100644
--- a/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.cc
+++ b/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.cc
@@ -302,37 +302,6 @@ Status ValidateTensorProperties(const string& producer_node_type,
   return Status::OK();
 }
 
-string DebugString(const nvinfer1::DataType trt_dtype) {
-  switch (trt_dtype) {
-    case nvinfer1::DataType::kFLOAT:
-      return "kFLOAT";
-    case nvinfer1::DataType::kHALF:
-      return "kHALF";
-    case nvinfer1::DataType::kINT8:
-      return "kINT8";
-    case nvinfer1::DataType::kINT32:
-      return "kINT32";
-    default:
-      return "Invalid TRT data type";
-  }
-}
-
-string DebugString(const nvinfer1::Permutation& permutation, int len) {
-  string out = "nvinfer1::Permutation(";
-  for (int i = 0; i < len; ++i) {
-    StrAppend(&out, permutation.order[i], ",");
-  }
-  StrAppend(&out, ")");
-  return out;
-}
-
-string DebugString(const nvinfer1::ITensor& tensor) {
-  return StrCat("nvinfer1::ITensor(@", reinterpret_cast<uintptr_t>(&tensor),
-                ", name=", tensor.getName(),
-                ", dtype=", DebugString(tensor.getType()),
-                ", dims=", DebugString(tensor.getDimensions()), ")");
-}
-
 Status GetTrtBroadcastShape(const TRT_TensorOrWeights& operand_l,
                             const TRT_TensorOrWeights& operand_r,
                             const bool check_feasibility,
@@ -683,8 +652,9 @@ size_t TRT_ShapedWeights::size_bytes() const {
 }
 
 string TRT_ShapedWeights::DebugString() const {
-  return StrCat("TRT_ShapedWeights(shape=", convert::DebugString(shape_),
-                ", type=", convert::DebugString(type_),
+  return StrCat("TRT_ShapedWeights(shape=",
+                tensorflow::tensorrt::DebugString(shape_),
+                ", type=", tensorflow::tensorrt::DebugString(type_),
                 ", values=", reinterpret_cast<uintptr_t>(GetValues()), ")");
 }
 
@@ -809,7 +779,7 @@ nvinfer1::Dims TRT_TensorOrWeights::GetTrtDims() const {
 string TRT_TensorOrWeights::DebugString() const {
   string output = "TRT_TensorOrWeights(type=";
   if (is_tensor()) {
-    StrAppend(&output, "tensor=", convert::DebugString(*tensor()),
+    StrAppend(&output, "tensor=", tensorflow::tensorrt::DebugString(*tensor()),
               ", batch_size=", batch_size_);
   } else {
     StrAppend(&output, "weights=", weights_.DebugString());
diff --git a/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.h b/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.h
index 91d2939353f..a9f579c9ed7 100644
--- a/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.h
+++ b/tensorflow/compiler/tf2tensorrt/convert/convert_nodes.h
@@ -156,11 +156,6 @@ class OutputEdgeValidator {
   bool operator()(const Edge* out_edge) const;
 };
 
-string DebugString(const nvinfer1::DimensionType type);
-string DebugString(const nvinfer1::DataType trt_dtype);
-string DebugString(const nvinfer1::Dims& dims);
-string DebugString(const nvinfer1::Permutation& permutation, int len);
-string DebugString(const nvinfer1::ITensor& tensor);
 int64_t TrtWeightDimsNumElements(const nvinfer1::Dims& dims);
 int64_t TrtTensorDimsNumElements(const nvinfer1::Dims& dims);
 
diff --git a/tensorflow/compiler/tf2tensorrt/convert/utils.h b/tensorflow/compiler/tf2tensorrt/convert/utils.h
index 1b088025686..af7c2623ed2 100644
--- a/tensorflow/compiler/tf2tensorrt/convert/utils.h
+++ b/tensorflow/compiler/tf2tensorrt/convert/utils.h
@@ -70,8 +70,10 @@ struct VectorTensorShapeHasher {
     NV_TENSORRT_PATCH == patch && NV_TENSORRT_BUILD >= build))
 
 string DebugString(const nvinfer1::DimensionType type);
-
 string DebugString(const nvinfer1::Dims& dims);
+string DebugString(const nvinfer1::DataType trt_dtype);
+string DebugString(const nvinfer1::Permutation& permutation, int len);
+string DebugString(const nvinfer1::ITensor& tensor);
 
 inline bool HasStaticShape(const nvinfer1::Dims& dims) {
   if (dims.nbDims < 0) return false;