From d44f37161d34f0de012e10d5aebc2acfdb292be2 Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <gardener@tensorflow.org>
Date: Mon, 13 Nov 2017 17:04:08 -0800
Subject: [PATCH] Remove unused using-declarations

PiperOrigin-RevId: 175611524
---
 tensorflow/compiler/xla/service/algebraic_simplifier.cc | 3 ---
 tensorflow/contrib/lite/kernels/optional_tensor_test.cc | 2 --
 tensorflow/core/grappler/costs/graph_properties.cc      | 5 +----
 3 files changed, 1 insertion(+), 9 deletions(-)

diff --git a/tensorflow/compiler/xla/service/algebraic_simplifier.cc b/tensorflow/compiler/xla/service/algebraic_simplifier.cc
index 5c9b29f6e20..bc9a3ac43db 100644
--- a/tensorflow/compiler/xla/service/algebraic_simplifier.cc
+++ b/tensorflow/compiler/xla/service/algebraic_simplifier.cc
@@ -46,9 +46,6 @@ limitations under the License.
 namespace xla {
 namespace {
 
-using tensorflow::gtl::nullopt;
-using tensorflow::gtl::optional;
-
 // Returns whether operand is a literal with the given value.
 bool IsLiteralWithValue(const HloInstruction* operand, int8 value) {
   return operand->opcode() == HloOpcode::kConstant &&
diff --git a/tensorflow/contrib/lite/kernels/optional_tensor_test.cc b/tensorflow/contrib/lite/kernels/optional_tensor_test.cc
index 8977d27f73c..8e9cc07656c 100644
--- a/tensorflow/contrib/lite/kernels/optional_tensor_test.cc
+++ b/tensorflow/contrib/lite/kernels/optional_tensor_test.cc
@@ -28,8 +28,6 @@ limitations under the License.
 namespace tflite {
 namespace {
 
-using ::testing::ElementsAreArray;
-
 class LSTMOpModel : public SingleOpModel {
  public:
   LSTMOpModel(int n_batch, int n_input, int n_cell, int n_output, bool use_cifg,
diff --git a/tensorflow/core/grappler/costs/graph_properties.cc b/tensorflow/core/grappler/costs/graph_properties.cc
index 35048a4fcff..26b85217718 100644
--- a/tensorflow/core/grappler/costs/graph_properties.cc
+++ b/tensorflow/core/grappler/costs/graph_properties.cc
@@ -25,16 +25,13 @@ limitations under the License.
 
 namespace tensorflow {
 namespace grappler {
+namespace {
 
-using shape_inference::Dimension;
 using shape_inference::DimensionHandle;
 using shape_inference::InferenceContext;
-using shape_inference::Shape;
 using shape_inference::ShapeAndType;
 using shape_inference::ShapeHandle;
 
-namespace {
-
 template <typename Handle>
 struct HashHandle {
   std::size_t operator()(const Handle& h) const { return h.Handle(); }