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30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2023-2025 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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import modelopt.torch.nas as mtn
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import modelopt.torch.opt as mto
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from modelopt.torch.opt.utils import search_space_size
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def apply_mode_with_sampling(model, mode):
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for i, m in enumerate(mode):
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model = mto.apply_mode(model, mode=m, init_state=i == 0)
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config = mtn.get_subnet_config(model)
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ss_size = search_space_size(model)
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if m in ["fastnas", "autonas", "gradnas"]:
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while config == mtn.get_subnet_config(model) and ss_size > 1:
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mtn.sample(model)
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return model
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