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Diffstat (limited to 'tensorflow/compiler/xla/service/hlo_memory_scheduler.cc')
-rw-r--r--tensorflow/compiler/xla/service/hlo_memory_scheduler.cc10
1 files changed, 4 insertions, 6 deletions
diff --git a/tensorflow/compiler/xla/service/hlo_memory_scheduler.cc b/tensorflow/compiler/xla/service/hlo_memory_scheduler.cc
index 55314d0ae9..bf30764488 100644
--- a/tensorflow/compiler/xla/service/hlo_memory_scheduler.cc
+++ b/tensorflow/compiler/xla/service/hlo_memory_scheduler.cc
@@ -263,9 +263,8 @@ class ListScheduler {
};
for (auto* instruction : computation_.instructions()) {
- // Instruction with no operands or control predecessors will
- // not be in the map.
- if (unscheduled_pred_count.count(instruction) == 0) {
+ if (instruction->operands().empty() &&
+ instruction->control_predecessors().empty()) {
add_to_ready_queue(instruction);
}
}
@@ -356,9 +355,8 @@ class ListScheduler {
buffer_uses_;
// A map containing the count of unscheduled HLOs which using a particular
- // LogicalBuffer. We rely on iterator stability in this map, and that the map
- // entries are std::pair's.
- std::unordered_map<const LogicalBuffer*, int64> unscheduled_use_count_;
+ // LogicalBuffer.
+ absl::flat_hash_map<const LogicalBuffer*, int64> unscheduled_use_count_;
// Set of instructions which have been scheduled.
absl::flat_hash_set<const HloInstruction*> scheduled_instructions_;