[XLA] gtl::optional->absl::optional

PiperOrigin-RevId: 209686671

1 files changed, 5 insertions, 6 deletions

diff --git a/tensorflow/compiler/xla/service/hlo_instructions.cc b/tensorflow/compiler/xla/service/hlo_instructions.cc
index e91cabbb72..dbafa35b2a 100644
--- a/tensorflow/compiler/xla/service/hlo_instructions.cc
+++ b/tensorflow/compiler/xla/service/hlo_instructions.cc
@@ -301,8 +301,7 @@ HloAllReduceInstruction::HloAllReduceInstruction(
     const Shape& shape, tensorflow::gtl::ArraySlice<HloInstruction*> operands,
     HloComputation* reduce_computation,
     tensorflow::gtl::ArraySlice<int64> replica_group_ids,
-    tensorflow::StringPiece barrier,
-    const tensorflow::gtl::optional<int64>& all_reduce_id)
+    tensorflow::StringPiece barrier, const absl::optional<int64>& all_reduce_id)
     : HloInstruction(HloOpcode::kCrossReplicaSum, shape),
       replica_group_ids_(replica_group_ids.begin(), replica_group_ids.end()),
       cross_replica_sum_barrier_(barrier.begin(), barrier.end()),
@@ -702,7 +701,7 @@ HloInstructionProto HloMapInstruction::ToProto() const {
 }
 
 bool HloMapInstruction::IsElementwiseImpl(
-    const tensorflow::gtl::optional<int64>& operand_idx) const {
+    const absl::optional<int64>& operand_idx) const {
   if (!dimensions().empty()) {
     // Check that the map is executed in elementwise compatible dimensions.
     if (dimensions().size() != shape().dimensions_size()) {
@@ -815,7 +814,7 @@ HloInstructionProto HloConstantInstruction::ToProto() const {
 }
 
 bool HloConstantInstruction::IsElementwiseImpl(
-    const tensorflow::gtl::optional<int64>& operand_idx) const {
+    const absl::optional<int64>& operand_idx) const {
   return true;
 }
 
@@ -955,7 +954,7 @@ HloInstructionProto HloFusionInstruction::ToProto() const {
 }
 
 bool HloFusionInstruction::IsElementwiseImpl(
-    const tensorflow::gtl::optional<int64>& operand_idx) const {
+    const absl::optional<int64>& operand_idx) const {
   if (!operand_idx.has_value()) {
     for (auto* fused : fused_instructions()) {
       if (fused->opcode() != HloOpcode::kParameter && !fused->IsElementwise()) {
@@ -1387,7 +1386,7 @@ std::vector<string> HloRngInstruction::ExtraAttributesToStringImpl(
 }
 
 bool HloRngInstruction::IsElementwiseImpl(
-    const tensorflow::gtl::optional<int64>& operand_idx) const {
+    const absl::optional<int64>& operand_idx) const {
   return true;
 }