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from omegaconf import OmegaConf | |
from scripts.rendertext_tool import Render_Text, load_model_from_config | |
import torch | |
# cfg = OmegaConf.load("other_configs/config_ema.yaml") | |
# model = load_model_from_config(cfg, "model_states.pt", verbose=True) | |
# model = load_model_from_config(cfg, "mp_rank_00_model_states.pt", verbose=True) | |
cfg = OmegaConf.load("other_configs/config_ema_unlock.yaml") | |
epoch_idx = 39 | |
model = load_model_from_config(cfg, "epoch={:0>6d}.ckpt".format(epoch_idx), verbose=True) | |
from pytorch_lightning.callbacks import ModelCheckpoint | |
with model.ema_scope("store ema weights"): | |
model_sd = model.state_dict() | |
store_sd = {} | |
for key in model_sd: | |
if "ema" in key: | |
continue | |
store_sd[key] = model_sd[key] | |
file_content = { | |
'state_dict': store_sd | |
} | |
torch.save(file_content, f"textcaps5K_epoch_{epoch_idx+1}_model_wo_ema.ckpt") | |
print("has stored the transfered ckpt.") | |
print("trial ends!") | |