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Update XLA to a 2025/5/13 revision. #9155

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Merged
merged 1 commit into from
May 14, 2025
Merged

Update XLA to a 2025/5/13 revision. #9155

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6 changes: 3 additions & 3 deletions WORKSPACE
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Original file line number Diff line number Diff line change
Expand Up @@ -44,9 +44,9 @@ new_local_repository(

############################# OpenXLA Setup ###############################

# To build PyTorch/XLA with OpenXLA to a new revision, update following xla_hash to
# the openxla git commit hash.
xla_hash = '509f93bf49818a9998c0929fbe57fd0baed3ede9'
# To build PyTorch/XLA with a new revison of OpenXLA, update the xla_hash to
# the openxla git commit hash and note the date of the commit.
xla_hash = '37b580d0dd7b52e611430d33424159719e363ffc' # Committed on 2025/5/13.

http_archive(
name = "xla",
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6 changes: 3 additions & 3 deletions torch_xla/csrc/runtime/ifrt_computation_client.cpp
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Expand Up @@ -430,7 +430,7 @@ std::vector<xla::Literal> IfrtComputationClient::TransferFromDevice(
std::vector<xla::Literal> literals;
literals.reserve(handles.size());
int64_t total_size = 0;
for (auto handle : handles) {
for (const auto& handle : handles) {
// Use XLA replication to reassemble the sharded data. If input handle
// is not sharded, then it is a no-op.
auto ifrt_data = std::dynamic_pointer_cast<IfrtData>(handle);
Expand Down Expand Up @@ -501,9 +501,9 @@ std::vector<ComputationClient::ComputationPtr> IfrtComputationClient::Compile(
mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));
torch_xla::ConvertHloToStableHlo(instance.computation.mutable_proto(),
&mlir_module);
std::unique_ptr<xla::ifrt::LoadedExecutable> executable =
std::shared_ptr<xla::ifrt::LoadedExecutable> executable =
ConsumeValue(client_->GetDefaultCompiler()->Compile(
std::make_unique<xla::ifrt::HloProgram>(std::move(mlir_module)),
std::make_unique<xla::ifrt::HloProgram>(mlir_module),
std::make_unique<xla::ifrt::XlaCompileOptions>(compile_options,
devices_list)));
StableHloCompileCounter()->AddValue(1);
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4 changes: 2 additions & 2 deletions torch_xla/csrc/runtime/ifrt_computation_client.h
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Expand Up @@ -253,13 +253,13 @@ class IfrtComputationClient : public ComputationClient {
struct IfrtComputation : public Computation {
IfrtComputation(xla::XlaComputation computation,
std::vector<std::string> devices,
std::unique_ptr<xla::ifrt::LoadedExecutable> executable)
std::shared_ptr<xla::ifrt::LoadedExecutable> executable)
: Computation(std::move(computation), std::move(devices)),
executable(std::move(executable)) {
output_shardings_ = this->executable->GetOutputShardings();
}

std::unique_ptr<xla::ifrt::LoadedExecutable> executable;
std::shared_ptr<xla::ifrt::LoadedExecutable> executable;
std::optional<std::vector<xla::OpSharding>> output_shardings_;
};
};
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