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initial FTS 2.6.0 release branch commit, full coverage with released PT 2.6.0
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CHANGELOG.md

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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [2.6.0] - 2024-XX-XX
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## [2.6.0] - 2025-XX-XX
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### Added
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dockers/base-cuda/Dockerfile

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else \
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# or target a specific cuda build, by specifying a particular index url w/...
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# ... default channel
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#pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126; \
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pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126; \
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# ... pytorch patch version
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# pip install torch==1.11.1+cu113 torchvision==0.11.3+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html; \
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# ... pytorch nightly dev version
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#pip install --pre torch==2.6.0.dev20241121 torchvision==0.20.0.dev20241121 --index-url https://download.pytorch.org/whl/nightly/cu126; \
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# ... test channel
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pip install --pre torch==2.6.0 torchvision==0.21.0 --index-url https://download.pytorch.org/whl/test/cu126; \
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#pip install --pre torch==2.6.0 torchvision --index-url https://download.pytorch.org/whl/test/cu126; \
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fi && \
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# Install all requirements
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pip install -r requirements/devel.txt --no-cache-dir && \

requirements/pl_adjust_versions.py

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# IMPORTANT: this list needs to be sorted in reverse
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VERSIONS = [
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dict(torch="2.6.0", torchvision="0.20.1"), # nightly torchvision nightly not yet bumped as of 20241124
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dict(torch="2.6.0", torchvision="0.21.0"), # nightly
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dict(torch="2.5.1", torchvision="0.20.1"), # stable
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dict(torch="2.5.0", torchvision="0.20.0"),
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dict(torch="2.4.0", torchvision="0.19.0"),

src/finetuning_scheduler/__about__.py

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import time
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_this_year = time.strftime("%Y")
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__version__ = "2.6.0.dev0"
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__version__ = "2.6.0-rc0"
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__author__ = "Dan Dale"
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__author_email__ = "[email protected]"
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__license__ = "Apache-2.0"

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