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32da3e8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | import importlib
from dataclasses import dataclass
from typing import Union, Tuple, Optional
from stage1 import RAE
import torch.nn as nn
from omegaconf import OmegaConf
import torch
def get_obj_from_str(string, reload=False):
module, cls = string.rsplit(".", 1)
if reload:
module_imp = importlib.import_module(module)
importlib.reload(module_imp)
return getattr(importlib.import_module(module, package=None), cls)
def instantiate_from_config(config) -> object:
if not "target" in config:
raise KeyError("Expected key `target` to instantiate.")
model = get_obj_from_str(config["target"])(**config.get("params", dict()))
ckpt_path = config.get("ckpt", None)
if ckpt_path is not None:
state_dict = torch.load(ckpt_path, map_location="cpu", weights_only=False)
# see if it's a ckpt from training by checking for "model"
if "ema" in state_dict:
state_dict = state_dict["ema"]
elif "model" in state_dict:
raise NotImplementedError("Loading from 'model' key not implemented yet.")
state_dict = state_dict["model"]
model.load_state_dict(state_dict, strict=True)
print(f'target {config["target"]} loaded from {ckpt_path}')
return model
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