openpilot v0.9.6 release

date: 2024-02-21T23:02:42
master commit: 0b4d08fab8e35a264bc7383e878538f8083c33e5

selfdrive/modeld/get_model_metadata.py

@@ -0,0 +1,29 @@
+#!/usr/bin/env python3
+import sys
+import pathlib
+import onnx
+import codecs
+import pickle
+from typing import Tuple
+
+def get_name_and_shape(value_info:onnx.ValueInfoProto) -> Tuple[str, Tuple[int,...]]:
+  shape = tuple([int(dim.dim_value) for dim in value_info.type.tensor_type.shape.dim])
+  name = value_info.name
+  return name, shape
+
+if __name__ == "__main__":
+  model_path = pathlib.Path(sys.argv[1])
+  model = onnx.load(str(model_path))
+  i = [x.key for x in model.metadata_props].index('output_slices')
+  output_slices = model.metadata_props[i].value
+
+  metadata = {}
+  metadata['output_slices'] = pickle.loads(codecs.decode(output_slices.encode(), "base64"))
+  metadata['input_shapes'] = dict([get_name_and_shape(x) for x in model.graph.input])
+  metadata['output_shapes'] = dict([get_name_and_shape(x) for x in model.graph.output])
+
+  metadata_path = model_path.parent / (model_path.stem + '_metadata.pkl')
+  with open(metadata_path, 'wb') as f:
+    pickle.dump(metadata, f)
+
+  print(f'saved metadata to {metadata_path}')