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| import os | |
| import json | |
| import torch | |
| version_config_paths = [ | |
| os.path.join("v1", "32000.json"), | |
| os.path.join("v1", "40000.json"), | |
| os.path.join("v1", "48000.json"), | |
| os.path.join("v2", "48000.json"), | |
| os.path.join("v2", "40000.json"), | |
| os.path.join("v2", "32000.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.is_half = self.device != "cpu" | |
| self.gpu_name = (torch.cuda.get_device_name(int(self.device.split(":")[-1])) if self.device.startswith("cuda") else None) | |
| self.json_config = self.load_config_json() | |
| self.translations = self.multi_language() | |
| self.gpu_mem = None | |
| self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config() | |
| def load_config_json(self) -> dict: | |
| configs = {} | |
| for config_file in version_config_paths: | |
| config_path = os.path.join("main", "configs", config_file) | |
| with open(config_path, "r") as f: | |
| configs[config_file] = json.load(f) | |
| return configs | |
| def multi_language(self): | |
| with open(os.path.join("main", "configs", "config.json"), "r") as f: | |
| configs = json.load(f) | |
| lang = configs["language"] | |
| 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 = "vi-VN" | |
| if lang not in configs["support_language"]: raise ValueError("Ngôn ngữ không được hỗ trợ(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", f"vi-VN.json") | |
| with open(lang_path, encoding="utf-8") as f: | |
| translations = json.load(f) | |
| return translations | |
| def set_precision(self, precision): | |
| if precision not in ["fp32", "fp16"]: raise ValueError("Loại chính xác không hợp lệ. Phải là 'fp32' hoặc 'fp16'(Invalid precision type. Must be 'fp32' or 'fp16').") | |
| fp16_run_value = precision == "fp16" | |
| for config_path in version_config_paths: | |
| full_config_path = os.path.join("main", "configs", config_path) | |
| try: | |
| with open(full_config_path, "r") as f: | |
| config = json.load(f) | |
| config["train"]["fp16_run"] = fp16_run_value | |
| with open(full_config_path, "w") as f: | |
| json.dump(config, f, indent=4) | |
| except FileNotFoundError: | |
| print(self.translations["not_found"].format(name=full_config_path)) | |
| return self.translations["set_precision"].format(precision=precision) | |
| def device_config(self) -> tuple: | |
| if self.device.startswith("cuda"): | |
| self.set_cuda_config() | |
| elif self.has_mps(): | |
| self.device = "mps" | |
| self.is_half = False | |
| self.set_precision("fp32") | |
| else: | |
| self.device = "cpu" | |
| self.is_half = False | |
| self.set_precision("fp32") | |
| x_pad, x_query, x_center, x_max = ((3, 10, 60, 65) if self.is_half else (1, 6, 38, 41)) | |
| if self.gpu_mem is not None and self.gpu_mem <= 4: x_pad, x_query, x_center, x_max = (1, 5, 30, 32) | |
| return x_pad, x_query, x_center, x_max | |
| def set_cuda_config(self): | |
| i_device = int(self.device.split(":")[-1]) | |
| self.gpu_name = torch.cuda.get_device_name(i_device) | |
| low_end_gpus = ["16", "P40", "P10", "1060", "1070", "1080"] | |
| if (any(gpu in self.gpu_name for gpu in low_end_gpus) and "V100" not in self.gpu_name.upper()): | |
| self.is_half = False | |
| self.set_precision("fp32") | |
| self.gpu_mem = torch.cuda.get_device_properties(i_device).total_memory // (1024**3) | |
| def has_mps(self) -> bool: | |
| return torch.backends.mps.is_available() |