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FL_LOG_MASTER(INFO) << "[Network Optimizer] " << netoptim->prettyString();
/* ===================== Meters ===================== */
TrainMeters meters;
for (const auto& s : validTagSets) {
meters.valid[s.first] = DatasetMeters();
}
// best perf so far on valid datasets
std::unordered_map<std::string, double> validminerrs;
for (const auto& s : validTagSets) {
validminerrs[s.first] = DBL_MAX;
}
/* ===================== Logging ===================== */
std::ofstream logFile;
if (isMaster) {
fl::lib::dirCreate(runPath);
logFile.open(getRunFile("log", runIdx, runPath));
if (!logFile.is_open()) {
LOG(FATAL) << "failed to open log file for writing";
}
// write config
std::ofstream configFile(getRunFile("config", runIdx, runPath));
cereal::JSONOutputArchive ar(configFile);
ar(CEREAL_NVP(config));
}
auto logStatus = [&logFile, isMaster](
TrainMeters& mtrs,
int64_t epoch,
int64_t nupdates,
double lr) {
syncMeter(mtrs);
if (isMaster) {
auto logMsg = getLogString(
mtrs, {}, epoch, nupdates, lr, 0 /* lrcrit */, 1 /* scaleFactor */);
FL_LOG_MASTER(INFO) << logMsg;
appendToLog(logFile, logMsg);
}
};
auto saveModels = [&](int iter, int totalUpdates) {
if (isMaster) {
// Save last epoch
config[kEpoch] = std::to_string(iter);
config[kUpdates] = std::to_string(totalUpdates);
std::string filename;
if (FLAGS_itersave) {
filename =
getRunFile(format("model_iter_%03d.bin", iter), runIdx, runPath);
Serializer::save(
filename, FL_APP_ASR_VERSION, config, network, criterion, netoptim);
}
// save last model
filename = getRunFile("model_last.bin", runIdx, runPath);
Serializer::save(
filename, FL_APP_ASR_VERSION, config, network, criterion, netoptim);
// save if better than ever for one valid
for (const auto& v : validminerrs) {
double verr = meters.valid[v.first].wrdEdit.errorRate()[0];
if (verr < validminerrs[v.first]) {
validminerrs[v.first] = verr;
std::string cleaned_v = cleanFilepath(v.first);
std::string vfname =
getRunFile("model_" + cleaned_v + ".bin", runIdx, runPath);
Serializer::save(
vfname, FL_APP_ASR_VERSION, config, network, criterion, netoptim);
}
}
// print brief stats on memory allocation (so far)
auto* curMemMgr =
fl::MemoryManagerInstaller::currentlyInstalledMemoryManager();
if (curMemMgr) {
curMemMgr->printInfo("Memory Manager Stats", 0 /* device id */);
}
}
};
/* ===================== Hooks ===================== */
auto evalOutput = [&tokenDict, &criterion](
const af::array& op,
const af::array& target,
DatasetMeters& mtr) {
auto batchsz = op.dims(2);
for (int b = 0; b < batchsz; ++b) {
auto tgt = target(af::span, b);
auto viterbipath =
afToVector<int>(criterion->viterbiPath(op(af::span, af::span, b)));
auto tgtraw = afToVector<int>(tgt);
// Remove `-1`s appended to the target for batching (if any)
auto labellen = getTargetSize(tgtraw.data(), tgtraw.size());
tgtraw.resize(labellen);