experiments/STT-tensorflow
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Add run_hlo_passes option to ExecuteReplicated without device assignment

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PiperOrigin-RevId: 255318599
This commit is contained in:
Yuanzhong Xu 2019-06-26 20:19:05 -07:00 committed by TensorFlower Gardener
parent 852061b75b
commit 5b9fc81bff
2 changed files with 3 additions and 2 deletions
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3
tensorflow/compiler/xla/tests/hlo_test_base.cc
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@ -212,9 +212,10 @@ Literal HloTestBase::ExecuteAndTransfer(std::unique_ptr<HloModule> module,
StatusOr<std::vector<Literal>> HloTestBase::ExecuteReplicated(
std::unique_ptr<HloModule> module, absl::Span<Literal* const> arguments,
int64 num_replicas, bool use_threads) {
int64 num_replicas, bool use_threads, bool run_hlo_passes) {
HloRunner::ReplicatedExecuteOptions options;
options.num_replicas = num_replicas;
options.run_hlo_passes = run_hlo_passes;
options.use_threads = use_threads;
for (auto argument : arguments) {
options.arguments.push_back(argument);

2
tensorflow/compiler/xla/tests/hlo_test_base.h
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@ -181,7 +181,7 @@ class HloTestBase : public ::testing::Test {
// Executable::ExecuteOnStreams.
StatusOr<std::vector<Literal>> ExecuteReplicated(
std::unique_ptr<HloModule> module, absl::Span<Literal* const> arguments,
int64 num_replicas, bool use_threads);
int64 num_replicas, bool use_threads, bool run_hlo_passes = false);
// Same as above, but uses specified device assignment.
StatusOr<std::vector<Literal>> ExecuteReplicated(