diff --git a/tensorflow/compiler/xla/service/hlo_evaluator.cc b/tensorflow/compiler/xla/service/hlo_evaluator.cc
index 55f5504de42..6e8df608502 100644
--- a/tensorflow/compiler/xla/service/hlo_evaluator.cc
+++ b/tensorflow/compiler/xla/service/hlo_evaluator.cc
@@ -194,14 +194,6 @@ class HloEvaluator::TypedVisitor : public DfsHloVisitorWithDefault {
     return Status::OK();
   };
 
-  Status HandleCopy(HloInstruction* copy) override {
-    TF_ASSIGN_OR_RETURN(parent_->evaluated_[copy],
-                        ElementWiseUnaryOp(copy, [](ReturnT elem_operand) {
-                          return elem_operand;
-                        }));
-    return Status::OK();
-  };
-
   Status HandleConvert(HloInstruction* convert) override {
     const HloInstruction* operand = convert->operand(0);
     TF_RET_CHECK(ShapeUtil::SameDimensions(operand->shape(), convert->shape()));
@@ -402,6 +394,36 @@ class HloEvaluator::TypedVisitor : public DfsHloVisitorWithDefault {
     return Status::OK();
   };
 
+  Status HandleReverse(HloInstruction* reverse,
+                       HloInstruction* operand) override {
+    const auto result_shape = reverse->shape();
+    const auto reverse_dimensions = reverse->dimensions();
+
+    TF_ASSIGN_OR_RETURN(auto inferred_return_shape,
+                        ShapeInference::InferReverseShape(operand->shape(),
+                                                          reverse_dimensions));
+
+    TF_RET_CHECK(ShapeUtil::Compatible(result_shape, inferred_return_shape))
+        << "return shape set to: " << ShapeUtil::HumanString(result_shape)
+        << " but is inferred to be: "
+        << ShapeUtil::HumanString(inferred_return_shape);
+
+    auto operand_literal = parent_->GetEvaluatedLiteralFor(operand);
+    auto result = Literal::CreateFromShape(result_shape);
+
+    TF_RETURN_IF_ERROR(result->Populate<ReturnT>(
+        [&](tensorflow::gtl::ArraySlice<int64> out_index) {
+          std::vector<int64> from_index(out_index.begin(), out_index.end());
+          for (const int64 dim : reverse_dimensions) {
+            from_index[dim] = result_shape.dimensions(dim) - 1 - out_index[dim];
+          }
+          return operand_literal.Get<ReturnT>(from_index);
+        }));
+
+    parent_->evaluated_[reverse] = std::move(result);
+    return Status::OK();
+  };
+
   Status HandleConvolution(HloInstruction* conv, HloInstruction* lhs,
                            HloInstruction* rhs, const Window& window) override {
     const Shape& result_shape = conv->shape();
@@ -1301,4 +1323,12 @@ Status HloEvaluator::HandleSlice(HloInstruction* slice,
   return Status::OK();
 }
 
+Status HloEvaluator::HandleCopy(HloInstruction* copy) {
+  TF_RET_CHECK(ShapeUtil::Compatible(copy->shape(), copy->operand(0)->shape()));
+
+  auto result = MakeUnique<Literal>(GetEvaluatedLiteralFor(copy->operand(0)));
+  evaluated_[copy] = std::move(result);
+  return Status::OK();
+}
+
 }  // namespace xla
diff --git a/tensorflow/compiler/xla/service/hlo_evaluator.h b/tensorflow/compiler/xla/service/hlo_evaluator.h
index fbb385c40fa..920c4901daf 100644
--- a/tensorflow/compiler/xla/service/hlo_evaluator.h
+++ b/tensorflow/compiler/xla/service/hlo_evaluator.h
@@ -125,6 +125,8 @@ class HloEvaluator : public DfsHloVisitorWithDefault {
   Status HandleCompare(HloInstruction* compare, HloOpcode opcode,
                        HloInstruction* lhs, HloInstruction* rhs) override;
 
+  Status HandleCopy(HloInstruction* copy) override;
+
  private:
   // Returns the already-evaluated literal result for the instruction.
   // A Constant instruction is considered evaluated and its literal will be
diff --git a/tensorflow/compiler/xla/service/hlo_evaluator_test.cc b/tensorflow/compiler/xla/service/hlo_evaluator_test.cc
index d2770f6a612..088b76b62f4 100644
--- a/tensorflow/compiler/xla/service/hlo_evaluator_test.cc
+++ b/tensorflow/compiler/xla/service/hlo_evaluator_test.cc
@@ -1057,5 +1057,58 @@ TEST_F(HloEvaluatorTest, DynamicSliceUpdate) {
   LiteralTestUtil::ExpectEqual(*expected, *result);
 }
 
+TEST_F(HloEvaluatorTest, Reverse) {
+  HloComputation::Builder b(TestName());
+
+  // Input shape is float[4x3x2x1].
+  // clang-format off
+  Array4D<float> input({
+    {{{1.0f}, {2.0f}},
+     {{3.0f}, {4.0f}},
+     {{5.0f}, {6.0f}}},
+    {{{7.0f}, {8.0f}},
+     {{9.0f}, {10.0f}},
+     {{11.0f}, {12.0f}}},
+    {{{13.0f}, {14.0f}},
+     {{15.0f}, {16.0f}},
+     {{17.0f}, {18.0f}}},
+    {{{19.0f}, {20.0f}},
+     {{21.0f}, {22.0f}},
+     {{23.0f}, {24.0f}}},
+  });
+  // clang-format on
+  auto operand_literal = Literal::CreateR4FromArray4D<float>(input);
+  HloInstruction* operand = b.AddInstruction(
+      HloInstruction::CreateConstant(std::move(operand_literal)));
+
+  const Shape shape = ShapeUtil::MakeShape(F32, {4, 3, 2, 1});
+  b.AddInstruction(HloInstruction::CreateReverse(shape, operand, {0, 1}));
+
+  std::unique_ptr<Literal> result =
+      evaluator_->Evaluate(*b.Build(), {}).ConsumeValueOrDie();
+
+  // clang-format off
+  auto expected = Literal::CreateR4FromArray4D<float>({
+    {{{23.0f}, {24.0f}},
+     {{21.0f}, {22.0f}},
+     {{19.0f}, {20.0f}}},
+
+    {{{17.0f}, {18.0f}},
+     {{15.0f}, {16.0f}},
+     {{13.0f}, {14.0f}}},
+
+    {{{11.0f}, {12.0f}},
+     {{9.0f}, {10.0f}},
+     {{7.0f}, {8.0f}}},
+
+    {{{5.0f}, {6.0f}},
+     {{3.0f}, {4.0f}},
+     {{1.0f}, {2.0f}}},
+  });
+  // clang-format on
+
+  LiteralTestUtil::ExpectEqual(*expected, *result);
+}
+
 }  // namespace
 }  // namespace xla