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49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
#!/usr/bin/env python3
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import os
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import glob
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from tinygrad.nn.onnx import OnnxPBParser
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BASEDIR = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../"))
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MASTER_PATH = os.getenv("MASTER_PATH", BASEDIR)
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MODEL_PATH = "/selfdrive/modeld/models/"
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class MetadataOnnxPBParser(OnnxPBParser):
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def _parse_ModelProto(self) -> dict:
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obj = {"metadata_props": []}
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for fid, wire_type in self._parse_message(self.reader.len):
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match fid:
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case 14:
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obj["metadata_props"].append(self._parse_StringStringEntryProto())
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case _:
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self.reader.skip_field(wire_type)
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return obj
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def get_checkpoint(f):
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model = MetadataOnnxPBParser(f).parse()
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metadata = {prop["key"]: prop["value"] for prop in model["metadata_props"]}
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return metadata['model_checkpoint'].split('/')[0]
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if __name__ == "__main__":
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print("| | master | PR branch |")
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print("|-| ----- | --------- |")
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for f in glob.glob(BASEDIR + MODEL_PATH + "/*.onnx"):
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# TODO: add checkpoint to DM
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if "dmonitoring" in f:
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continue
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fn = os.path.basename(f)
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master_path = MASTER_PATH + MODEL_PATH + fn
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if os.path.exists(master_path):
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master = get_checkpoint(master_path)
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master_col = f"[{master}](https://reporter.comma.life/experiment/{master})"
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else:
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master_col = "N/A (new model)"
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pr = get_checkpoint(BASEDIR + MODEL_PATH + fn)
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print("|", fn, "|", master_col, "|", f"[{pr}](https://reporter.comma.life/experiment/{pr})", "|")
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