diff options
| author |  Justin Lebar <jlebar@google.com> | 2018-08-20 20:20:14 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-20 20:23:24 -0700 |
| commit | e924d67bff8c4fb58c8316d00b662f8d1e80eb95 (patch) | |
| tree | bf1b0f5b9d0c699150295f98187b19d6a10710a6 /tensorflow/compiler/xla/service/hlo_runner.cc | |
| parent | 49115abfd39d30506679d9fdc572ccd2f7c22dbe (diff) | |
[XLA] Use absl::make_unique instead of xla::MakeUnique.
Same for WrapUnique.
PiperOrigin-RevId: 209531124
Diffstat (limited to 'tensorflow/compiler/xla/service/hlo_runner.cc')
| -rw-r--r-- | tensorflow/compiler/xla/service/hlo_runner.cc | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/compiler/xla/service/hlo_runner.cc b/tensorflow/compiler/xla/service/hlo_runner.cc index b2725e2918..8f3ae9c621 100644 --- a/tensorflow/compiler/xla/service/hlo_runner.cc +++ b/tensorflow/compiler/xla/service/hlo_runner.cc @@ -19,9 +19,9 @@ limitations under the License. #include <string> #include <utility> +#include "absl/memory/memory.h" #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" #include "tensorflow/compiler/xla/layout_util.h" -#include "tensorflow/compiler/xla/ptr_util.h" #include "tensorflow/compiler/xla/service/hlo_parser.h" #include "tensorflow/compiler/xla/service/transfer_manager.h" #include "tensorflow/compiler/xla/shape_util.h" @@ -233,7 +233,7 @@ StatusOr<std::vector<std::unique_ptr<Literal>>> HloRunner::ExecuteReplicated( int64 device = device_assignment(i, 0); TF_ASSIGN_OR_RETURN(se::StreamExecutor * executor, backend().stream_executor(device)); - streams.push_back(MakeUnique<se::Stream>(executor)); + streams.push_back(absl::make_unique<se::Stream>(executor)); streams.back()->Init(); service_run_options.emplace_back(GetServiceRunOptionsForDevice( device, streams.back().get(), &device_assignment)); @@ -260,7 +260,7 @@ StatusOr<std::vector<std::unique_ptr<Literal>>> HloRunner::ExecuteReplicated( num_threads += options.num_replicas; } if (num_threads > 0) { - pool = MakeUnique<tensorflow::thread::ThreadPool>( + pool = absl::make_unique<tensorflow::thread::ThreadPool>( tensorflow::Env::Default(), "infeed_outfeed", /*num_threads=*/num_threads); } @@ -291,7 +291,7 @@ StatusOr<std::vector<std::unique_ptr<Literal>>> HloRunner::ExecuteReplicated( VLOG(1) << "Starting outfeed on device " << device; for (int64 step = 1; options.infeed_steps < 0 || step <= options.infeed_steps; ++step) { - auto literal = MakeUnique<Literal>(); + auto literal = absl::make_unique<Literal>(); TF_CHECK_OK(backend().transfer_manager()->TransferLiteralFromOutfeed( executor, options.outfeed_shape, literal.get())); if (options.outfeed_values != nullptr) { |