wehub-resource-sync
57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import onnx_graphsurgeon as gs
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import onnx
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import numpy as np
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import argparse
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def modify_maskrcnn_opset12(path_to_model, output_path):
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graph = gs.import_onnx(onnx.load(path_to_model))
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"""
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Step 1: Remove unnecessary UINT8 cast
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- Pattern match Cast[BOOL->UINT8] -> Cast[UINT8 -> BOOL]
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- Fixes node 2838 - casts bool to uint8 for slice / gather. Can keep all operations in bool.
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"""
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for node in graph.nodes:
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if node.op == "Cast" and node.attrs["to"] == onnx.TensorProto.UINT8:
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node.attrs["to"] = onnx.TensorProto.BOOL
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node.outputs[0].dtype = np.bool_
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# Need to modify output_node output to be bool as well.
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for output_node in node.outputs[0].outputs:
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output_node.outputs[0].dtype = np.bool_
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print(f"Removed UINT8 casts in node {node.name}")
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onnx.save(gs.export_onnx(graph.cleanup()), output_path)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"-i",
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"--input",
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default="FasterRCNN-12.onnx",
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help="Path to the onnx model obtained from https://github.com/onnx/models/raw/refs/heads/main/validated/vision/object_detection_segmentation/faster-rcnn/model/FasterRCNN-12.onnx",
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)
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parser.add_argument(
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"-o", "--output", default="fasterrcnn12_trt.onnx", help="Desired path for the output onnx model"
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)
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args = parser.parse_args()
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modify_maskrcnn_opset12(args.input, args.output)
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