mirror of
https://github.com/immich-app/immich.git
synced 2024-12-23 02:06:15 +02:00
77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
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import gc
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import os
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from pathlib import Path
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from tempfile import TemporaryDirectory
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from huggingface_hub import create_repo, login, upload_folder
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from models import mclip, openclip
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from rich.progress import Progress
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models = [
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"RN50::openai",
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"RN50::yfcc15m",
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"RN50::cc12m",
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"RN101::openai",
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"RN101::yfcc15m",
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"RN50x4::openai",
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"RN50x16::openai",
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"RN50x64::openai",
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"ViT-B-32::openai",
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"ViT-B-32::laion2b_e16",
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"ViT-B-32::laion400m_e31",
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"ViT-B-32::laion400m_e32",
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"ViT-B-32::laion2b-s34b-b79k",
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"ViT-B-16::openai",
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"ViT-B-16::laion400m_e31",
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"ViT-B-16::laion400m_e32",
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"ViT-B-16-plus-240::laion400m_e31",
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"ViT-B-16-plus-240::laion400m_e32",
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"ViT-L-14::openai",
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"ViT-L-14::laion400m_e31",
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"ViT-L-14::laion400m_e32",
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"ViT-L-14::laion2b-s32b-b82k",
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"ViT-L-14-336::openai",
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"ViT-H-14::laion2b-s32b-b79k",
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"ViT-g-14::laion2b-s12b-b42k",
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"M-CLIP/LABSE-Vit-L-14",
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"M-CLIP/XLM-Roberta-Large-Vit-B-32",
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"M-CLIP/XLM-Roberta-Large-Vit-B-16Plus",
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"M-CLIP/XLM-Roberta-Large-Vit-L-14",
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]
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login(token=os.environ["HF_AUTH_TOKEN"])
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with Progress() as progress:
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task1 = progress.add_task("[green]Exporting models...", total=len(models))
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task2 = progress.add_task("[yellow]Uploading models...", total=len(models))
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with TemporaryDirectory() as tmp:
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tmpdir = Path(tmp)
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for model in models:
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model_name = model.split("/")[-1].replace("::", "__")
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config_path = tmpdir / model_name / "config.json"
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def upload() -> None:
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progress.update(task2, description=f"[yellow]Uploading {model_name}")
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repo_id = f"immich-app/{model_name}"
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create_repo(repo_id, exist_ok=True)
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upload_folder(repo_id=repo_id, folder_path=tmpdir / model_name)
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progress.update(task2, advance=1)
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def export() -> None:
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progress.update(task1, description=f"[green]Exporting {model_name}")
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visual_dir = tmpdir / model_name / "visual"
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textual_dir = tmpdir / model_name / "textual"
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if model.startswith("M-CLIP"):
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mclip.to_onnx(model, visual_dir, textual_dir)
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else:
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name, _, pretrained = model_name.partition("__")
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openclip.to_onnx(openclip.OpenCLIPModelConfig(name, pretrained), visual_dir, textual_dir)
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progress.update(task1, advance=1)
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gc.collect()
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export()
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upload()
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