88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
import csv
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import hashlib
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from pathlib import Path
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import onnx
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repo = Path(r"F:\IchigridEA\_RESTORE_CONTROL_PLANE_V2\70_FORGE_MQL5_SOURCEBANK\repo_personnel_update\IchiGridEA_ONNX_SourceBank")
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onnx_root = repo / "02_UPSTREAM_REFERENCES" / "renat_ONNX.Price.Prediction"
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out_csv = repo / "04_DEEP_REVIEW" / "ONNX_MODEL_SHAPES_20260527.csv"
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def sha256_file(path: Path) -> str:
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h = hashlib.sha256()
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with path.open("rb") as f:
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for block in iter(lambda: f.read(1024 * 1024), b""):
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h.update(block)
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return h.hexdigest()
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def dims_of(value_info):
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dims = []
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tensor_type = value_info.type.tensor_type
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for d in tensor_type.shape.dim:
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if d.dim_value:
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dims.append(str(d.dim_value))
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elif d.dim_param:
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dims.append(str(d.dim_param))
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else:
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dims.append("?")
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return "[" + ",".join(dims) + "]"
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rows = []
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for model_path in sorted(onnx_root.rglob("*.onnx")):
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try:
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model = onnx.load(str(model_path))
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onnx.checker.check_model(model)
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status = "ONNX_CHECK_PASS"
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error = ""
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except Exception as exc:
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model = None
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status = "ONNX_CHECK_FAIL"
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error = str(exc)
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if model is not None:
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for inp in model.graph.input:
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rows.append({
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"ModelPath": str(model_path.relative_to(repo)).replace("\\", "/"),
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"Kind": "INPUT",
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"Name": inp.name,
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"Shape": dims_of(inp),
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"Opset": ",".join([str(o.version) for o in model.opset_import]),
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"IRVersion": model.ir_version,
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"SHA256": sha256_file(model_path),
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"Status": status,
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"Error": error
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})
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for out in model.graph.output:
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rows.append({
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"ModelPath": str(model_path.relative_to(repo)).replace("\\", "/"),
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"Kind": "OUTPUT",
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"Name": out.name,
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"Shape": dims_of(out),
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"Opset": ",".join([str(o.version) for o in model.opset_import]),
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"IRVersion": model.ir_version,
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"SHA256": sha256_file(model_path),
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"Status": status,
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"Error": error
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})
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else:
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rows.append({
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"ModelPath": str(model_path.relative_to(repo)).replace("\\", "/"),
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"Kind": "MODEL",
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"Name": model_path.name,
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"Shape": "",
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"Opset": "",
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"IRVersion": "",
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"SHA256": sha256_file(model_path),
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"Status": status,
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"Error": error
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})
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with out_csv.open("w", encoding="utf-8-sig", newline="") as f:
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fieldnames = ["ModelPath", "Kind", "Name", "Shape", "Opset", "IRVersion", "SHA256", "Status", "Error"]
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writer = csv.DictWriter(f, fieldnames=fieldnames)
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writer.writeheader()
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writer.writerows(rows)
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print(f"ONNX shape rows: {len(rows)}")
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print(out_csv)
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