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gflags::ReadFromFlagsFile(FLAGS_flagsfile, argv[0], true);
}
gflags::ParseCommandLineFlags(&argc, &argv, false);
std::string runPath = FLAGS_rundir;
handleDeprecatedFlags();
fl::setSeed(FLAGS_seed);
fl::DynamicBenchmark::setBenchmarkMode(FLAGS_fl_benchmark_mode);
std::shared_ptr<fl::Reducer> reducer = nullptr;
if (FLAGS_enable_distributed) {
fl::pkg::runtime::initDistributed(
FLAGS_world_rank,
FLAGS_world_size,
FLAGS_max_devices_per_node,
FLAGS_rndv_filepath);
reducer = std::make_shared<fl::CoalescingReducer>(
1.0 / fl::getWorldSize(), true, true);
}
int worldRank = fl::getWorldRank();
int worldSize = fl::getWorldSize();
bool isMaster = (worldRank == 0);
FL_LOG_MASTER(INFO) << "Gflags after parsing \n" << serializeGflags("; ");
FL_LOG_MASTER(INFO) << "Experiment path: " << runPath;
FL_LOG_MASTER(INFO) << "Experiment runidx: " << runIdx;
// flashlight optim mode
auto flOptimLevel = FLAGS_fl_optim_mode.empty()
? fl::OptimLevel::DEFAULT
: fl::OptimMode::toOptimLevel(FLAGS_fl_optim_mode);
fl::OptimMode::get().setOptimLevel(flOptimLevel);
if (FLAGS_fl_amp_use_mixed_precision) {
// Only set the optim mode to O1 if it was left empty
LOG(INFO) << "Mixed precision training enabled. Will perform loss scaling.";
if (FLAGS_fl_optim_mode.empty()) {
LOG(INFO) << "Mixed precision training enabled with no "
"optim mode specified - setting optim mode to O1.";
fl::OptimMode::get().setOptimLevel(fl::OptimLevel::O1);
}
}
std::unordered_map<std::string, std::string> config = {
{kProgramName, exec},
{kCommandLine, join(" ", argvs)},
{kGflags, serializeGflags()},
// extra goodies
{kUserName, fl::lib::getEnvVar("USER")},
{kHostName, fl::lib::getEnvVar("HOSTNAME")},
{kTimestamp, getCurrentDate() + ", " + getCurrentDate()},
{kRunIdx, std::to_string(runIdx)},
{kRunPath, runPath}};
auto validTagSets = parseValidSets(FLAGS_valid);
/* ===================== Create Dictionary & Lexicon ===================== */
auto dictPath = FLAGS_tokens;
if (dictPath.empty() || !fileExists(dictPath)) {
throw std::runtime_error(
"Invalid dictionary filepath specified with --tokensdir and --tokens: \"" +
dictPath + "\"");
}
fl::lib::text::Dictionary tokenDict(dictPath);
if (FLAGS_criterion != kCtcCriterion) {
LOG(FATAL) << "Finetune binary works only with ctc criterion.";
}
// ctc expects the blank label last
tokenDict.addEntry(kBlankToken);
int numClasses = tokenDict.indexSize();
LOG(INFO) << "Number of classes (network): " << numClasses;
fl::lib::text::Dictionary wordDict;
fl::lib::text::LexiconMap lexicon;
if (!FLAGS_lexicon.empty()) {
lexicon = fl::lib::text::loadWords(FLAGS_lexicon, FLAGS_maxword);
wordDict = fl::lib::text::createWordDict(lexicon);
LOG(INFO) << "Number of words: " << wordDict.indexSize();
}
/* ===================== Create Dataset ===================== */
fl::lib::audio::FeatureParams featParams(
FLAGS_samplerate,
FLAGS_framesizems,
FLAGS_framestridems,
FLAGS_filterbanks,
FLAGS_lowfreqfilterbank,
FLAGS_highfreqfilterbank,
FLAGS_mfcccoeffs,
kLifterParam /* lifterparam */,
FLAGS_devwin /* delta window */,
FLAGS_devwin /* delta-delta window */);
featParams.useEnergy = false;
featParams.usePower = false;
featParams.zeroMeanFrame = false;
auto featureRes =
getFeatureType(FLAGS_features_type, FLAGS_channels, featParams);
int numFeatures = featureRes.first;
FeatureType featType = featureRes.second;