From dd7d31fa7bfa357e58987c2f3881d99c8050b6de Mon Sep 17 00:00:00 2001
From: "A. Unique TensorFlower" <gardener@tensorflow.org>
Date: Wed, 10 Oct 2018 02:29:11 -0700
Subject: Change user_set to an absl::flat_hash_set in HloInstruction.

absl::flat_hash_set have better performance than a std::unordered_set, which can improve overall compile time.
PiperOrigin-RevId: 216498767
---
 tensorflow/compiler/xla/service/hlo_instruction.h | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/tensorflow/compiler/xla/service/hlo_instruction.h b/tensorflow/compiler/xla/service/hlo_instruction.h
index 93ff04b1e4..81fe1d0a9a 100644
--- a/tensorflow/compiler/xla/service/hlo_instruction.h
+++ b/tensorflow/compiler/xla/service/hlo_instruction.h
@@ -28,11 +28,10 @@ limitations under the License.
 #include <set>
 #include <string>
 #include <tuple>
-#include <unordered_map>
-#include <unordered_set>
 #include <vector>
 
 #include "absl/container/flat_hash_map.h"
+#include "absl/container/flat_hash_set.h"
 #include "absl/container/inlined_vector.h"
 #include "absl/memory/memory.h"
 #include "absl/strings/str_cat.h"
@@ -1645,7 +1644,7 @@ class HloInstruction {
   // members. The set enables fast membership testing and the vector enables
   // fast, stable iteration.
   std::vector<HloInstruction*> users_;
-  std::unordered_set<const HloInstruction*> user_set_;
+  absl::flat_hash_set<const HloInstruction*> user_set_;
 
   // The set of control successors of this instruction.
   std::vector<HloInstruction*> control_successors_;
-- 
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