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| import os | |
| import json | |
| import torch | |
| version_config_paths = [os.path.join(version, size) for version in ["v1", "v2"] for size in ["32000.json", "40000.json", "48000.json"]] | |
| def singleton(cls): | |
| instances = {} | |
| def get_instance(*args, **kwargs): | |
| if cls not in instances: instances[cls] = cls(*args, **kwargs) | |
| return instances[cls] | |
| return get_instance | |
| class Config: | |
| def __init__(self): | |
| self.device = "cuda:0" if torch.cuda.is_available() else "cpu" | |
| self.configs = json.load(open(os.path.join("main", "configs", "config.json"), "r")) | |
| self.translations = self.multi_language() | |
| self.json_config = self.load_config_json() | |
| self.gpu_mem = None | |
| self.per_preprocess = 3.7 | |
| self.is_half = self.is_fp16() | |
| self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config() | |
| def multi_language(self): | |
| try: | |
| lang = self.configs.get("language", "en-US") | |
| if len([l for l in os.listdir(os.path.join("assets", "languages")) if l.endswith(".json")]) < 1: raise FileNotFoundError("Không tìm thấy bất cứ gói ngôn ngữ nào(No package languages found)") | |
| if not lang: lang = "en-US" | |
| if lang not in self.configs["support_language"]: raise ValueError("Language not supported....") | |
| lang_path = os.path.join("assets", "languages", f"{lang}.json") | |
| if not os.path.exists(lang_path): lang_path = os.path.join("assets", "languages", "en-US.json") | |
| with open(lang_path, encoding="utf-8") as f: | |
| translations = json.load(f) | |
| except json.JSONDecodeError: | |
| print(self.translations["empty_json"].format(file=lang)) | |
| pass | |
| return translations | |
| def is_fp16(self): | |
| fp16 = self.configs.get("fp16", False) | |
| if self.device in ["cpu", "mps"] and fp16: | |
| self.configs["fp16"] = False | |
| fp16 = False | |
| with open(os.path.join("main", "configs", "config.json"), "w") as f: | |
| json.dump(self.configs, f, indent=4) | |
| if not fp16: self.preprocess_per = 3.0 | |
| return fp16 | |
| def load_config_json(self): | |
| configs = {} | |
| for config_file in version_config_paths: | |
| try: | |
| with open(os.path.join("main", "configs", config_file), "r") as f: | |
| configs[config_file] = json.load(f) | |
| except json.JSONDecodeError: | |
| print(self.translations["empty_json"].format(file=config_file)) | |
| pass | |
| return configs | |
| def device_config(self): | |
| if self.device.startswith("cuda"): self.set_cuda_config() | |
| elif self.has_mps(): self.device = "mps" | |
| else: self.device = "cpu" | |
| if self.gpu_mem is not None and self.gpu_mem <= 4: | |
| self.preprocess_per = 3.0 | |
| return 1, 5, 30, 32 | |
| return (3, 10, 60, 65) if self.is_half else (1, 6, 38, 41) | |
| def set_cuda_config(self): | |
| i_device = int(self.device.split(":")[-1]) | |
| self.gpu_mem = torch.cuda.get_device_properties(i_device).total_memory // (1024**3) | |
| def has_mps(self): | |
| return torch.backends.mps.is_available() | |