29 lines
1.1 KiB
Python
29 lines
1.1 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 numpy as np
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import onnx
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X = gs.Variable(name="X", dtype=np.float32, shape=(1, 3, 5, 5))
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Y = gs.Variable(name="Y", dtype=np.float32, shape=(1, 3, 1, 1))
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node = gs.Node(op="GlobalLpPool", attrs={"p": 2}, inputs=[X], outputs=[Y])
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graph = gs.Graph(nodes=[node], inputs=[X], outputs=[Y], ir_version=10)
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onnx.save(gs.export_onnx(graph), "test_globallppool.onnx")
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