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# Copyright (c) 2024, Shanghai Iluvatar CoreX Semiconductor Co., Ltd.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import onnx
import argparse
from onnxsim import simplify
# Simplify
def simplify_model(args):
onnx_model = onnx.load(args.origin_model)
model_simp, check = simplify(onnx_model)
model_simp = onnx.shape_inference.infer_shapes(model_simp)
onnx.save(model_simp, args.output_model)
print(" Simplify onnx Done.")
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--origin_model", type=str)
parser.add_argument("--output_model", type=str)
args = parser.parse_args()
return args
args = parse_args()
simplify_model(args)
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