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-rw-r--r--tensorflow/compiler/xla/service/allocation_tracker.cc4
-rw-r--r--tensorflow/compiler/xla/service/transfer_manager.h7
-rw-r--r--tensorflow/compiler/xla/tests/hlo_test_base.cc4
3 files changed, 2 insertions, 13 deletions
diff --git a/tensorflow/compiler/xla/service/allocation_tracker.cc b/tensorflow/compiler/xla/service/allocation_tracker.cc
index e59fad4e05..49a621810e 100644
--- a/tensorflow/compiler/xla/service/allocation_tracker.cc
+++ b/tensorflow/compiler/xla/service/allocation_tracker.cc
@@ -125,9 +125,7 @@ tensorflow::Status AllocationTracker::DeallocateShape(
handle_map.erase(device_memory->opaque());
}
- // TODO(b/36256956) Ideally tuple elements could always be distinct buffers.
- if (ShapeUtil::IsTuple(shape) &&
- backend->transfer_manager()->TupleElementsAreDistinctBuffers()) {
+ if (ShapeUtil::IsTuple(shape)) {
// Traverse into tuple recursively deallocating buffers.
TF_ASSIGN_OR_RETURN(se::StreamExecutor * executor,
backend->stream_executor(device_ordinal));
diff --git a/tensorflow/compiler/xla/service/transfer_manager.h b/tensorflow/compiler/xla/service/transfer_manager.h
index b052bb8146..83e893a14a 100644
--- a/tensorflow/compiler/xla/service/transfer_manager.h
+++ b/tensorflow/compiler/xla/service/transfer_manager.h
@@ -99,13 +99,6 @@ class TransferManager {
// region for a host-to-device transfer.
virtual int64 GetByteSizeRequirement(const Shape& shape) = 0;
- // Returns whether tuple elements are distinct buffers (in which case each of
- // the elements of a tuple should be deallocated, in addition to the tuple's
- // buffer itself).
- //
- // TODO(b/36256956) Ideally tuple elements could always be distinct buffers.
- virtual bool TupleElementsAreDistinctBuffers() const { return true; }
-
// Transfer a memory block of the given size from the device source into the
// 'destination' buffer.
//
diff --git a/tensorflow/compiler/xla/tests/hlo_test_base.cc b/tensorflow/compiler/xla/tests/hlo_test_base.cc
index 62878fed55..4e956bc00c 100644
--- a/tensorflow/compiler/xla/tests/hlo_test_base.cc
+++ b/tensorflow/compiler/xla/tests/hlo_test_base.cc
@@ -123,9 +123,7 @@ StatusOr<se::DeviceMemoryBase> HloTestBase::Execute(
*result_shape = executable->result_shape();
- // TODO(b/36256956) Ideally tuple elements could always be distinct buffers.
- if (ShapeUtil::IsTuple(*result_shape) &&
- backend_->transfer_manager()->TupleElementsAreDistinctBuffers()) {
+ if (ShapeUtil::IsTuple(*result_shape)) {
// We must record element buffers of tuples as well to avoid leaks.
DCHECK(!ShapeUtil::IsNestedTuple(*result_shape));
TF_ASSIGN_OR_RETURN(