这个参数通常是一个 YAML 文件的名称,例如 "config.yaml" 下面这个例子就是打印出.\config文件夹\config.yaml配置文件中的内容 import hydra from omegaconf import DictConfig, OmegaConf @hydra.main(version_base=None, config_path="config文件夹", config_name="config.yaml") def my_app(cfg: DictConfig) ...
import hydra import logging from typing import Optional from dataclasses import dataclass, field from omegaconf import DictConfig, ListConfig, OmegaConf from sec_config import ModelConfig, TrainConfig, DataConfig, LogConfig, FSDPConfig @dataclass class RunConfig: dataset_config: DataConfig = field(def...
pipeline.finetune import main as train import hydra import logging from dataclasses import dataclass, field from omegaconf import DictConfig, ListConfig, OmegaConf from vsr_config import ModelConfig, TrainConfig, DataConfig, LogConfig, FSDPConfig @dataclass class RunConfig: dataset_config: DataConfig...
pipeline.finetune_deepspeed import main as train from slam_llm.utils.deepspeed_utils import deepspeed_main_wrapper import logging from dataclasses import dataclass, field from omegaconf import DictConfig, ListConfig, OmegaConf from asr_config import ModelConfig, TrainConfig, DataConfig, LogConfig @...
utils import dist, get_device, reproducibility from datasets import load_dataset from omegaconf import DictConfig from torch.utils.data import Dataset from diffusion.evaluation.generate_images import ImageGenerator def generate(config: DictConfig) -> None: """Evaluate a model. Args: config (Dict...
pipeline.finetune import main as train import hydra import logging from dataclasses import dataclass, field from omegaconf import DictConfig, ListConfig, OmegaConf from vallex_config import ModelConfig, TrainConfig, DataConfig, LogConfig, FSDPConfig @dataclass class RunConfig: dataset_config: Data...
config = OmegaConf.load(cfg["config"]) kwargs = OmegaConf.merge(config, cfg) kwargs["model"] = config["model"] elif os.path.exists(os.path.join(model_or_path, "config.yaml")) and os.path.exists(os.path.join(model_or_path, "model.pt")): config = OmegaConf.loa...
infer_config = OmegaConf.load(args.config) # base_model_path = "./pretrained_weights/huggingface-models/sd-image-variations-diffusers/" base_model_path = infer_config.pretrained_base_model_path weight_dtype = torch.float16 image_enc = CLIPVisionModelWithProjection.from_pretrained( # "./pretraine...
cfm_params: !new:omegaconf.DictConfig content: sigma_min: 1e-06 solver: 'euler' t_scheduler: 'cosine' training_cfg_rate: 0.2 inference_cfg_rate: 0.7 reg_loss_type: 'l1' estimator: !new:cosyvoice.flow.decoder.ConditionalDecoder in_channels: 320 out_channels: 80 channels: [256, 256] dr...
Parse fromconfiguration filesandenvironment variables, likeOmegaConf,dynaconf,confuseandconfigargparse. Dataclassessupport, likeSimpleParsingandTyro. Other notable features include: Extensive type hint support:nested types (union, optional), containers (list, dict, etc.), user-defined generics, restricted ...