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| import os | |
| import sys | |
| import faiss | |
| import logging | |
| import argparse | |
| import logging.handlers | |
| import numpy as np | |
| from multiprocessing import cpu_count | |
| from sklearn.cluster import MiniBatchKMeans | |
| now_dir = os.getcwd() | |
| sys.path.append(now_dir) | |
| from main.configs.config import Config | |
| translations = Config().translations | |
| def parse_arguments() -> tuple: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--model_name", type=str, required=True) | |
| parser.add_argument("--rvc_version", type=str, default="v2") | |
| parser.add_argument("--index_algorithm", type=str, default="Auto") | |
| args = parser.parse_args() | |
| return args | |
| def main(): | |
| args = parse_arguments() | |
| exp_dir = os.path.join("assets", "logs", args.model_name) | |
| version = args.rvc_version | |
| index_algorithm = args.index_algorithm | |
| log_file = os.path.join(exp_dir, "create_index.log") | |
| logger = logging.getLogger(__name__) | |
| if logger.hasHandlers(): logger.handlers.clear() | |
| else: | |
| console_handler = logging.StreamHandler() | |
| console_formatter = logging.Formatter(fmt="\n%(asctime)s.%(msecs)03d | %(levelname)s | %(module)s | %(message)s", datefmt="%Y-%m-%d %H:%M:%S") | |
| console_handler.setFormatter(console_formatter) | |
| console_handler.setLevel(logging.INFO) | |
| file_handler = logging.handlers.RotatingFileHandler(log_file, maxBytes=5*1024*1024, backupCount=3, encoding='utf-8') | |
| file_formatter = logging.Formatter(fmt="\n%(asctime)s.%(msecs)03d | %(levelname)s | %(module)s | %(message)s", datefmt="%Y-%m-%d %H:%M:%S") | |
| file_handler.setFormatter(file_formatter) | |
| file_handler.setLevel(logging.DEBUG) | |
| logger.addHandler(console_handler) | |
| logger.addHandler(file_handler) | |
| logger.setLevel(logging.DEBUG) | |
| logger.debug(f"{translations['modelname']}: {args.model_name}") | |
| logger.debug(f"{translations['model_path']}: {exp_dir}") | |
| logger.debug(f"{translations['training_version']}: {version}") | |
| logger.debug(f"{translations['index_algorithm_info']}: {index_algorithm}") | |
| try: | |
| feature_dir = os.path.join(exp_dir, f"{version}_extracted") | |
| model_name = os.path.basename(exp_dir) | |
| npys = [] | |
| listdir_res = sorted(os.listdir(feature_dir)) | |
| for name in listdir_res: | |
| file_path = os.path.join(feature_dir, name) | |
| phone = np.load(file_path) | |
| npys.append(phone) | |
| big_npy = np.concatenate(npys, axis=0) | |
| big_npy_idx = np.arange(big_npy.shape[0]) | |
| np.random.shuffle(big_npy_idx) | |
| big_npy = big_npy[big_npy_idx] | |
| if big_npy.shape[0] > 2e5 and (index_algorithm == "Auto" or index_algorithm == "KMeans"): big_npy = (MiniBatchKMeans(n_clusters=10000, verbose=True, batch_size=256 * cpu_count(), compute_labels=False, init="random").fit(big_npy).cluster_centers_) | |
| np.save(os.path.join(exp_dir, "total_fea.npy"), big_npy) | |
| n_ivf = min(int(16 * np.sqrt(big_npy.shape[0])), big_npy.shape[0] // 39) | |
| index_trained = faiss.index_factory(256 if version == "v1" else 768, f"IVF{n_ivf},Flat") | |
| index_ivf_trained = faiss.extract_index_ivf(index_trained) | |
| index_ivf_trained.nprobe = 1 | |
| index_trained.train(big_npy) | |
| faiss.write_index(index_trained, os.path.join(exp_dir, f"trained_IVF{n_ivf}_Flat_nprobe_{index_ivf_trained.nprobe}_{model_name}_{version}.index")) | |
| index_added = faiss.index_factory(256 if version == "v1" else 768, f"IVF{n_ivf},Flat") | |
| index_ivf_added = faiss.extract_index_ivf(index_added) | |
| index_ivf_added.nprobe = 1 | |
| index_added.train(big_npy) | |
| batch_size_add = 8192 | |
| for i in range(0, big_npy.shape[0], batch_size_add): | |
| index_added.add(big_npy[i : i + batch_size_add]) | |
| index_filepath_added = os.path.join(exp_dir, f"added_IVF{n_ivf}_Flat_nprobe_{index_ivf_added.nprobe}_{model_name}_{version}.index") | |
| faiss.write_index(index_added, index_filepath_added) | |
| logger.info(f"{translations['save_index']} '{index_filepath_added}'") | |
| except Exception as e: | |
| logger.error(f"{translations['create_index_error']}: {e}") | |
| if __name__ == "__main__": main() |