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