load model before calling convert_fp16_to_fp32

selfdrive/modeld/runners/ort_helpers.py

@@ -10,8 +10,7 @@ def attributeproto_fp16_to_fp32(attr):
   attr.data_type = 1
   attr.raw_data = float32_list.astype(np.float32).tobytes()
 
-def convert_fp16_to_fp32(onnx_path):
-  model = onnx.load(onnx_path)
+def convert_fp16_to_fp32(model):
   for i in model.graph.initializer:
     if i.data_type == 10:
       attributeproto_fp16_to_fp32(i)
@@ -33,6 +32,6 @@ def make_onnx_cpu_runner(model_path):
   options.intra_op_num_threads = 4
   options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
   options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
-  model_data = convert_fp16_to_fp32(model_path)
+  model_data = convert_fp16_to_fp32(onnx.load(model_path))
   return ort.InferenceSession(model_data,  options, providers=['CPUExecutionProvider'])