mirror of
https://github.com/immich-app/immich.git
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41580696c7
* update export code * add uuid glob, sort model names * add new models to ml, sort names * add new models to server, sort by dims and name * typo in name * update export dependencies * onnx save function * format
114 lines
4.2 KiB
Python
114 lines
4.2 KiB
Python
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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import torch
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from huggingface_hub import create_repo, upload_folder
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from models import mclip, openclip
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from models.optimize import optimize
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from rich.progress import Progress
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models = [
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"M-CLIP/LABSE-Vit-L-14",
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"M-CLIP/XLM-Roberta-Large-Vit-B-16Plus",
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"M-CLIP/XLM-Roberta-Large-Vit-B-32",
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"M-CLIP/XLM-Roberta-Large-Vit-L-14",
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"RN101::openai",
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"RN101::yfcc15m",
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"RN50::cc12m",
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"RN50::openai",
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"RN50::yfcc15m",
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"RN50x16::openai",
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"RN50x4::openai",
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"RN50x64::openai",
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"ViT-B-16-SigLIP-256::webli",
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"ViT-B-16-SigLIP-384::webli",
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"ViT-B-16-SigLIP-512::webli",
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"ViT-B-16-SigLIP-i18n-256::webli",
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"ViT-B-16-SigLIP::webli",
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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-B-16::laion400m_e31",
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"ViT-B-16::laion400m_e32",
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"ViT-B-16::openai",
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"ViT-B-32::laion2b-s34b-b79k",
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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::openai",
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"ViT-H-14-378-quickgelu::dfn5b",
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"ViT-H-14-quickgelu::dfn5b",
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"ViT-H-14::laion2b-s32b-b79k",
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"ViT-L-14-336::openai",
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"ViT-L-14-quickgelu::dfn2b",
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"ViT-L-14::laion2b-s32b-b82k",
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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::openai",
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"ViT-L-16-SigLIP-256::webli",
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"ViT-L-16-SigLIP-384::webli",
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"ViT-SO400M-14-SigLIP-384::webli",
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"ViT-g-14::laion2b-s12b-b42k",
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"nllb-clip-base-siglip::mrl",
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"nllb-clip-base-siglip::v1",
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"nllb-clip-large-siglip::mrl",
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"nllb-clip-large-siglip::v1",
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"xlm-roberta-base-ViT-B-32::laion5b_s13b_b90k",
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"xlm-roberta-large-ViT-H-14::frozen_laion5b_s13b_b90k",
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]
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# glob to delete old UUID blobs when reuploading models
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uuid_char = "[a-fA-F0-9]"
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uuid_glob = uuid_char * 8 + "-" + uuid_char * 4 + "-" + uuid_char * 4 + "-" + uuid_char * 4 + "-" + uuid_char * 12
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# remote repo files to be deleted before uploading
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# deletion is in the same commit as the upload, so it's atomic
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delete_patterns = ["**/*onnx*", "**/Constant*", "**/*.weight", "**/*.bias", f"**/{uuid_glob}"]
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with Progress() as progress:
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task = progress.add_task("[green]Exporting models...", total=len(models))
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token = os.environ.get("HF_AUTH_TOKEN")
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torch.backends.mha.set_fastpath_enabled(False)
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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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hf_model_name = model_name.replace("xlm-roberta-large", "XLM-Roberta-Large")
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hf_model_name = model_name.replace("xlm-roberta-base", "XLM-Roberta-Base")
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config_path = tmpdir / model_name / "config.json"
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def export() -> None:
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progress.update(task, description=f"[green]Exporting {hf_model_name}")
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visual_dir = tmpdir / hf_model_name / "visual"
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textual_dir = tmpdir / hf_model_name / "textual"
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if model.startswith("M-CLIP"):
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visual_path, textual_path = 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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config = openclip.OpenCLIPModelConfig(name, pretrained)
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visual_path, textual_path = openclip.to_onnx(config, visual_dir, textual_dir)
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progress.update(task, description=f"[green]Optimizing {hf_model_name} (visual)")
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optimize(visual_path)
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progress.update(task, description=f"[green]Optimizing {hf_model_name} (textual)")
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optimize(textual_path)
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gc.collect()
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def upload() -> None:
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progress.update(task, description=f"[yellow]Uploading {hf_model_name}")
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repo_id = f"immich-app/{hf_model_name}"
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create_repo(repo_id, exist_ok=True)
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upload_folder(
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repo_id=repo_id,
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folder_path=tmpdir / hf_model_name,
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delete_patterns=delete_patterns,
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token=token,
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)
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export()
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if token is not None:
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upload()
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progress.update(task, advance=1)
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