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[ROCm][tunableop] Modified Online Tuning Mode to add Instant Logging (#163965)
- Added instant logging in online tuning mode, so that each tuned GEMM is instantly written - Allows us to have saved tuning configs, in cases of crashes. Pull Request resolved: https://github.com/pytorch/pytorch/pull/163965 Approved by: https://github.com/naromero77amd, https://github.com/jeffdaily
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@ -175,8 +175,6 @@ All python APIs exist in the `torch.cuda.tunable` module.
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| get_filename() -> str | |
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| get_results() -> Tuple[str, str, str, float] | |
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| get_validators() -> Tuple[str, str] | |
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| write_file_on_exit(val: bool) -> None | Default is True. |
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| write_file(filename: Optional[str] = None) -> None | If filename not given, it will call get_filename(). |
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| read_file(filename: Optional[str] = None) -> None | If filename not given, it will call get_filename(). |
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| tune_gemm_in_file(filename: str) -> None | read an untuned file and tune GEMMs in it. |
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| mgpu_tune_gemm_in_file(filename_pattern: str, num_gpus: int) -> None: -> None | read one or more untuned files and tune all unique GEMMs on one or more GPUs. |
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@ -107,14 +107,30 @@ void TuningResultsManager::AddImpl(const std::string& op_signature,
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}
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void TuningResultsManager::Add(const std::string& op_signature, const std::string& params_signature, ResultEntry best) {
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std::scoped_lock l{lock_};
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bool is_new = false;
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ResultEntry inserted = ResultEntry::Null();
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auto it = results_.find(op_signature);
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if (it == results_.end()) {
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it = results_.insert({op_signature, {}}).first;
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// ---- mutate maps under results lock ----
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{
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std::scoped_lock l{lock_};
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auto& km = results_[op_signature]; // creates if missing
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is_new = (km.find(params_signature) == km.end());
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AddImpl(op_signature, params_signature, std::move(best), km);
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if (is_new) {
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inserted = km.at(params_signature); // snapshot for I/O after unlocking
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}
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}
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if (!is_new) return; // only write once per unique (op, params)
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TuningContext* ctx = getTuningContext();
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if (ctx->IsTuningEnabled() && !ctx->IsRecordUntunedEnabled()) {
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InitRealtimeAppend(ctx->GetFilename(), ctx->GetTuningResultsValidator().GetAllValidators());
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if (is_new && realtime_out_ && realtime_out_->good()) {
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AppendResultLine(op_signature, params_signature, inserted);
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}
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}
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AddImpl(op_signature, params_signature, std::move(best), it->second);
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}
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void TuningResultsManager::RecordUntuned( std::ofstream& untuned_file, const std::string& op_signature,
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@ -150,6 +166,77 @@ void TuningResultsManager::RecordUntuned( std::ofstream& untuned_file, const std
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}
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}
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void TuningResultsManager::InitRealtimeAppend(const std::string& filename, const std::unordered_map<std::string, std::string>& validators) {
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std::scoped_lock fl{realtime_file_mutex_};
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if (realtime_out_ && realtime_out_->good() && realtime_filename_ == filename) {
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return;
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}
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if (realtime_out_ && realtime_filename_ != filename) {
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realtime_out_->flush();
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realtime_out_->close();
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realtime_out_.reset();
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validators_written_ = false;
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}
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bool file_exists = false;
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bool file_empty = true;
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{
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std::ifstream check_file(filename);
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if (check_file.good()) {
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file_exists = true;
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file_empty = (check_file.peek() == std::ifstream::traits_type::eof());
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}
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}
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realtime_out_ = std::make_unique<std::ofstream>(filename, std::ios::out | std::ios::app);
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if (!realtime_out_->good()) {
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TORCH_WARN("TunableOp realtime append: failed to open '", filename,"'");
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realtime_out_.reset();
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return;
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}
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if(!file_exists || file_empty) {
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for(const auto& [key, val] : validators) {
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(*realtime_out_) << "Validator," << key << "," << val << std::endl;
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realtime_out_->flush();
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}
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validators_written_ = true;
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TUNABLE_LOG2("Wrote validators to realtime output file");
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}
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realtime_filename_ = filename;
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}
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void TuningResultsManager::AppendResultLine(const std::string& op_sig, const std::string& param_sig, const ResultEntry& result) {
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std::scoped_lock fl{realtime_file_mutex_};
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if(!realtime_out_ || !realtime_out_->good()) {
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return;
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}
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(*realtime_out_) << op_sig << "," << param_sig << "," << result << std::endl;
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realtime_out_->flush(); //ensure immediate write to disk
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TUNABLE_LOG3("Realtime append: ", op_sig, "(", param_sig, ") -> ", result);
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}
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void TuningResultsManager::CloseRealtimeAppend() {
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std::scoped_lock fl{realtime_file_mutex_};
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if(realtime_out_) {
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realtime_out_->flush();
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realtime_out_->close();
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realtime_out_.reset();
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TUNABLE_LOG2("Closed realtime output file");
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}
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}
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void TuningResultsManager::Delete(const std::string& op_signature, const std::string& params_signature) {
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std::scoped_lock l{lock_};
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@ -396,7 +483,6 @@ TuningContext::TuningContext() :
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tuning_enable_{true},
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record_untuned_enable_{false},
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manager_initialized_{false},
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write_file_on_exit_{true},
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numerics_check_enable_{false},
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max_tuning_duration_ms_{30},
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max_tuning_iterations_{100},
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@ -417,20 +503,8 @@ TuningContext::~TuningContext() {
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// but doesn't do any computation itself.
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return;
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}
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auto filename = GetFilename();
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if (IsTunableOpEnabled() && IsTuningEnabled() && !filename.empty() && write_file_on_exit_) {
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if (results_count_from_input_file_ < GetTuningResultsManager().GetSize()) {
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if (results_count_from_input_file_ > 0) {
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TUNABLE_LOG1("additional tuning results available, rewriting file ", filename);
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}
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else {
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TUNABLE_LOG1("writing file ", filename);
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}
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if (!WriteFile(filename)) {
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TUNABLE_LOG1("failed to write file ", filename);
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}
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}
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}
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TUNABLE_LOG1("Closing File");
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GetTuningResultsManager().CloseRealtimeAppend(); // Since, we do instant logging by default now.
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if (untuned_file_.good()) {
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untuned_file_.close();
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@ -511,9 +585,6 @@ std::ofstream& TuningContext::GetUntunedFile(){
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return untuned_file_;
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}
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void TuningContext::WriteFileOnExit(bool value) {
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write_file_on_exit_ = value;
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}
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void TuningContext::EnableNumericsCheck(bool value) {
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numerics_check_enable_ = value;
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@ -634,11 +705,6 @@ TuningResultsManager& TuningContext::GetTuningResultsManager() {
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auto filename = GetFilename();
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if (!filename.empty() && !IsRecordUntunedEnabled()) {
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ReadFile(filename);
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// attempt immediately to open file for writing to catch errors early
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std::ofstream file(filename, std::ios::out | std::ios::app);
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if (!file.good()) {
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TORCH_WARN("failed to open file '", filename, "' for writing; your tuning results will not be saved");
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}
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}
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});
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return manager_;
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@ -744,27 +810,6 @@ bool TuningContext::ReadFile(const std::string& filename_) {
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return true;
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}
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bool TuningContext::WriteFile(const std::string& filename_) {
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std::string filename = filename_.empty() ? GetFilename() : filename_;
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std::ofstream file(filename, std::ios::out | std::ios::trunc);
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if (!file.good()) {
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TUNABLE_LOG1("error opening tuning results file for writing ", filename);
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return false;
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}
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auto validators = GetTuningResultsValidator().GetAllValidators();
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for (const auto& [key, val] : validators) {
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file << "Validator," << key << "," << val << std::endl;
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}
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auto results = GetTuningResultsManager().Dump();
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for (const auto& [op_sig, kernelmap] : results) {
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for (const auto& [param_sig, result] : kernelmap) {
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file << op_sig << "," << param_sig << "," << result << std::endl;
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}
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}
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file.close();
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return true;
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}
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namespace {
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struct MaybeDelete {
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@ -103,10 +103,24 @@ class TORCH_CUDA_CPP_API TuningResultsManager {
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void RecordUntuned( std::ofstream& untuned_file, const std::string& op_signature,
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const std::string& params_signature, const std::string& blas_signature);
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void InitRealtimeAppend(
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const std::string& filename,
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const std::unordered_map<std::string, std::string>& validators);
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void AppendResultLine(const std::string& op_sig,
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const std::string& param_sig,
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const ResultEntry& result);
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void CloseRealtimeAppend(); // For clean shutdown
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private:
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std::mutex lock_;
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std::mutex realtime_file_mutex_;
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std::unique_ptr<std::ofstream> realtime_out_;
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std::string realtime_filename_;
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ResultsMap results_;
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UntunedMap untuned_results_;
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bool validators_written_ = false;
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};
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@ -185,10 +199,7 @@ class TORCH_CUDA_CPP_API TuningContext {
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void SetFilename(const std::string& filename, bool insert_device_ordinal=false);
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std::string GetFilename() const;
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void WriteFileOnExit(bool value);
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bool ReadFile(const std::string& filename={});
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bool WriteFile(const std::string& filename={});
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template<class... Types>
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void Log(int level, Types... args) {
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@ -207,7 +218,6 @@ class TORCH_CUDA_CPP_API TuningContext {
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bool tuning_enable_;
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bool record_untuned_enable_;
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bool manager_initialized_;
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bool write_file_on_exit_;
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bool numerics_check_enable_;
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int max_tuning_duration_ms_;
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int max_tuning_iterations_;
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