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113 lines
3.5 KiB
113 lines
3.5 KiB
#!/usr/bin/env python3 -W ignore::DeprecationWarning
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# rename node to new names
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import argparse
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import sys
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import onnx
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def parse_arguments():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'--model',
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required=True,
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help='Path of directory saved the input model.')
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parser.add_argument(
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'--origin_names',
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required=True,
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nargs='+',
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help='The original name you want to modify.')
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parser.add_argument(
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'--new_names',
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required=True,
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nargs='+',
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help='The new name you want change to, the number of new_names should be same with the number of origin_names'
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)
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parser.add_argument(
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'--save_file', required=True, help='Path to save the new onnx model.')
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return parser.parse_args()
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if __name__ == '__main__':
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args = parse_arguments()
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if len(set(args.origin_names)) < len(args.origin_names):
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print(
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"[ERROR] There's dumplicate name in --origin_names, which is not allowed."
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)
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sys.exit(-1)
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if len(set(args.new_names)) < len(args.new_names):
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print(
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"[ERROR] There's dumplicate name in --new_names, which is not allowed."
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)
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sys.exit(-1)
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if len(args.new_names) != len(args.origin_names):
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print(
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"[ERROR] Number of --new_names must be same with the number of --origin_names."
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)
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sys.exit(-1)
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model = onnx.load(args.model)
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# collect input and all node output
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output_tensor_names = set()
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for ipt in model.graph.input:
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output_tensor_names.add(ipt.name)
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for node in model.graph.node:
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for out in node.output:
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output_tensor_names.add(out)
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for origin_name in args.origin_names:
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if origin_name not in output_tensor_names:
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print(
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f"[ERROR] Cannot find tensor name '{origin_name}' in onnx model graph."
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)
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sys.exit(-1)
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for new_name in args.new_names:
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if new_name in output_tensor_names:
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print(
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"[ERROR] The defined new_name '{}' is already exist in the onnx model, which is not allowed."
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)
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sys.exit(-1)
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# rename graph input
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for i, ipt in enumerate(model.graph.input):
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if ipt.name in args.origin_names:
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idx = args.origin_names.index(ipt.name)
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model.graph.input[i].name = args.new_names[idx]
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# rename node input and output
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for i, node in enumerate(model.graph.node):
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for j, ipt in enumerate(node.input):
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if ipt in args.origin_names:
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idx = args.origin_names.index(ipt)
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model.graph.node[i].input[j] = args.new_names[idx]
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for j, out in enumerate(node.output):
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if out in args.origin_names:
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idx = args.origin_names.index(out)
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model.graph.node[i].output[j] = args.new_names[idx]
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# rename graph output
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for i, out in enumerate(model.graph.output):
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if out.name in args.origin_names:
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idx = args.origin_names.index(out.name)
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model.graph.output[i].name = args.new_names[idx]
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# check onnx model
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onnx.checker.check_model(model)
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# save model
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onnx.save(model, args.save_file)
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print("[Finished] The new model saved in {}.".format(args.save_file))
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print("[DEBUG INFO] The inputs of new model: {}".format(
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[x.name for x in model.graph.input]))
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print("[DEBUG INFO] The outputs of new model: {}".format(
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[x.name for x in model.graph.output]))
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