wehub-resource-sync
34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
#!/usr/bin/env python3
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#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 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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print("Graph.fold_constants Help:\n{}".format(gs.Graph.fold_constants.__doc__))
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graph = gs.import_onnx(onnx.load("model.onnx"))
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# Fold constants in the graph using ONNX Runtime. This will replace
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# expressions that can be evaluated prior to runtime with constant tensors.
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# The `fold_constants()` function will not, however, remove the nodes that
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# it replaced - it simply changes the inputs of subsequent nodes.
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# To remove these unused nodes, we can follow up `fold_constants()` with `cleanup()`
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graph.fold_constants().cleanup()
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onnx.save(gs.export_onnx(graph), "folded.onnx")
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