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