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| import sys | |
| import os | |
| from models.networks.mlp import GeoAdaLNMLP | |
| from huggingface_hub import PyTorchModelHubMixin | |
| import torch | |
| import argparse | |
| models_overrides = { | |
| "YFCC100M_geoadalnmlp_r3_small_sigmoid_flow_riemann_10M_10M": "YFCC100M_geoadalnmlp_r3_small_sigmoid_flow_riemann", | |
| "iNaturalist_geoadalnmlp_r3_small_sigmoid_flow_riemann_-7_3": "iNaturalist_geoadalnmlp_r3_small_sigmoid_flow_riemann", | |
| "osv_5m_geoadalnmlp_r3_small_sigmoid_flow_riemann_-7_3": "osv_5m_geoadalnmlp_r3_small_sigmoid_flow_riemann", | |
| } | |
| class Plonk( | |
| GeoAdaLNMLP, | |
| PyTorchModelHubMixin, | |
| repo_url="https://github.com/nicolas-dufour/plonk", | |
| tags=["plonk", "geolocalization", "diffusion"], | |
| license="mit", | |
| ): | |
| def __init__(self, *args, **kwargs): | |
| super().__init__(*args, **kwargs) | |
| def upload_model(checkpoint_dir, repo_name): | |
| import hydra | |
| from omegaconf import OmegaConf | |
| hydra.initialize(version_base=None, config_path=f"../configs") | |
| cfg = hydra.compose( | |
| config_name="config", | |
| overrides=[ | |
| f"exp={models_overrides[checkpoint_dir]}", | |
| ], | |
| ) | |
| network_config = cfg.model.network | |
| serialized_network_config = OmegaConf.to_container(network_config, resolve=True) | |
| print(serialized_network_config) | |
| del serialized_network_config["_target_"] | |
| model = Plonk(**serialized_network_config) | |
| ckpt = torch.load(f"checkpoints/{checkpoint_dir}/last.ckpt") | |
| ckpt_state_dict = ckpt["state_dict"] | |
| ckpt_state_dict = {k: v for k, v in ckpt_state_dict.items() if "ema_network" in k} | |
| ckpt_state_dict = { | |
| k.replace("ema_network.", ""): v for k, v in ckpt_state_dict.items() | |
| } | |
| model.load_state_dict(ckpt_state_dict) | |
| model.push_to_hub(repo_name, commit_message="Fixed ckpt keys") | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--checkpoint_dir", type=str, required=True) | |
| parser.add_argument("--repo_name", type=str, required=True) | |
| args = parser.parse_args() | |
| upload_model(args.checkpoint_dir, args.repo_name) | |