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pytorch: remove unused requirements
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ML-Frameworks/pytorch-aarch64/Dockerfile

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@@ -88,13 +88,8 @@ COPY $TORCH_AO_WHEEL /home/$DOCKER_USER/
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# will need to manually add their dependencies. We don't use the nightly
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# versions which corresponding to our torch build because they can disappear,
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# and we usually don't need features from the nightlies.
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# Note: torchvision is currently pinned to a nightly build, this can be updated
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# at the next vision release, and the `--extra-index-url` removed.
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RUN pip install \
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torchaudio~=2.6.0 \
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torchdata~=0.11.0 \
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torchvision~=0.23.0 \
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torchtune~=0.5.0 \
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--no-deps
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# We need --no-deps because the torch version won't match the versions on torch*

ML-Frameworks/pytorch-aarch64/requirements.txt

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# PyTorch channel and our own built torch wheel (see Dockerfile for more info )
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certifi==2024.8.30
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charset-normalizer~=3.4.0
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datasets~=3.4.1
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expecttest==0.3.0 # From unit tests
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filelock~=3.16.1
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fsspec==2024.9.0
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mpmath~=1.3.0
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networkx~=3.4.1
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numpy~=2.1.2
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omegaconf~=2.3.0
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opencv-python-headless~=4.10.0.84
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packaging~=24.1
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pandas~=2.2.3
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pillow~=11.0.0
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protobuf==5.29.5 # GenAI models dependency
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psutil~=7.0.0
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pyaml~=24.9.0
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python-dateutil~=2.9.0.post0
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pytz==2024.2
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safetensors~=0.4.5
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six~=1.16.0
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sympy~=1.13.1
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tiktoken~=0.9.0
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tokenizers~=0.21.0
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tqdm~=4.66.5
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transformers~=4.55.2 # >= 4.50.0 due to CVE-2025-2099

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