Upload optimize_data_model.py

scripts/optimize_data_model.py

@@ -0,0 +1,34 @@
+"""Optimize the data model ONNX file.
+
+The birdnet_data_model_slim.onnx file is obtained with
+
+python -m tf2onnx.convert --opset 18 --tflite 'BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite' --output birdnet_data_model.onnx
+onnxslim birdnet_data_model.onnx birdnet_data_model_slim.onnx
+"""
+
+import onnxscript.optimizer
+import onnx_ir as ir
+
+model = ir.load("birdnet_data_model_slim.onnx")
+
+# Remove add-mul-0
+
+cast_1 = model.graph.node("BirdNET/MNET_CONVERT/SelectV2_1__50")
+add_1 = model.graph.node("BirdNET/MNET_CONVERT/SelectV2_1")
+add_1.outputs[0].replace_all_uses_with(cast_1.outputs[0])
+
+cast_2 = model.graph.node("BirdNET/MNET_CONVERT/SelectV2__60")
+add_2 = model.graph.node("BirdNET/MNET_CONVERT/SelectV2")
+add_2.outputs[0].replace_all_uses_with(cast_2.outputs[0])
+
+onnxscript.optimizer.optimize(model)
+
+model.ir_version = 10
+model.graph.name = "BirdNET-v2.4-Data_Model"
+model.producer_name = "onnx-ir"
+model.producer_version = None
+model.graph.inputs[0].name = "input"
+model.graph.outputs[0].name = "output"
+model.graph.outputs[0].shape = ir.Shape(["batch", model.graph.outputs[0].shape[1]])
+
+ir.save(model, "birdnet_data_model.onnx")