fb4f0fdf56
* vllm sampling params fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * do not patch base_trainer * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * seperate vllm fixes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Apply suggestion from @danielhanchen * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks" This reverts commit 58b483dc0d1790f99580665801d3fa0d7267c533. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks" This reverts commit b2497519659a9f301e7a633795d9efdafdc2b277. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Revert "[pre-commit.ci] auto fixes from pre-commit.com hooks" This reverts commit de3daaf429f81aceb6632932b0cb1af5149652a8. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Daniel Han <danielhanchen@gmail.com>
33 lines
1 KiB
Python
33 lines
1 KiB
Python
# Copyright 2023-present Daniel Han-Chen & the Unsloth team. All rights reserved.
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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 time
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from contextlib import contextmanager
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@contextmanager
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def timer(name):
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start = time.time()
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yield
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end = time.time()
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print(f"{name} took {end - start:.2f} seconds")
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@contextmanager
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def header_footer_context(title: str, char="-"):
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print()
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print(f"{char}" * 50 + f" {title} " + f"{char}" * 50)
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yield
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print(f"{char}" * (100 + len(title) + 2))
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print()
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