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## What does this PR do? **Type of change:** ? <!-- Use one of the following: Bug fix, new feature, new example, new tests, documentation. --> **Overview:** ? ## Usage <!-- You can potentially add a usage example below. --> ```python # Add a code snippet demonstrating how to use this ``` ## Testing <!-- Mention how have you tested your change if applicable. --> ## Before your PR is "*Ready for review*" <!-- If you haven't finished some of the above items you can still open `Draft` PR. --> - **Make sure you read and follow [Contributor guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)** and your commits are signed. - **Is this change backward compatible?**: Yes/No <!--- If No, explain why. --> - **Did you write any new necessary tests?**: Yes/No - **Did you add or update any necessary documentation?**: Yes/No - **Did you update [Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**: Yes/No <!--- Only for new features, API changes, critical bug fixes or bw breaking changes. --> ## Additional Information <!-- E.g. related issue. --> <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Added comprehensive guide for experimental optimization technique development, including recommended structure, testing conventions, licensing requirements, and graduation path to production. * **New Features** * Introduced experimental package with templates and utilities for implementing research-stage optimization techniques. Includes configuration framework and example code patterns. Emits stability warnings to indicate unstable APIs. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: Kai Xu <kaix@nvidia.com>
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 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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"""Experimental optimization techniques for Model Optimizer.
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This package contains experimental and research-stage optimization algorithms
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that are under active development. APIs may change without notice.
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Warning:
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Code in this package is experimental and not covered by semantic versioning.
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Use at your own risk in production environments.
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"""
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import warnings
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warnings.warn(
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"The 'experimental' package contains unstable APIs that may change. "
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"Use at your own risk in production environments.",
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FutureWarning,
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stacklevel=2,
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)
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__all__ = []
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