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RHOAIENG-30247: chore(deps): bump PyTorch packages across all Pipfiles (torch 2.6.0, torchvision 0.21.0, tensorboard 2.17.1) (#1462)
* chore(deps): update PyTorch source URLs to use cu124 across all Pipfiles * also update pytorch_triton_rocm-3.2.0 This is the lowest Cuda version that torch 2.6.0 wheel is built for. See https://pytorch.org/get-started/previous-versions/#linux-and-windows-1 * Update Pipfile.lock files by piplock-renewal.yaml action --------- Co-authored-by: GitHub Actions <github-actions[bot]@users.noreply.github.com>
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codeserver/ubi9-python-3.11/Pipfile

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[[source]]
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name = "pytorch"
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url = "https://download.pytorch.org/whl/cu118"
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url = "https://download.pytorch.org/whl/cu124"
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verify_ssl = true
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[dev-packages]

codeserver/ubi9-python-3.11/Pipfile.lock

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codeserver/ubi9-python-3.11/requirements.txt

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jupyter/datascience/ubi9-python-3.11/Pipfile.lock

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jupyter/datascience/ubi9-python-3.11/requirements.txt

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jupyter/minimal/ubi9-python-3.11/Pipfile.lock

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jupyter/minimal/ubi9-python-3.11/requirements.txt

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jupyter/pytorch/ubi9-python-3.11/Pipfile

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name = "pypi"
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url = "https://download.pytorch.org/whl/cu121"
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url = "https://download.pytorch.org/whl/cu124"
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name = "pytorch"
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[packages]
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# PyTorch packages
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tensorboard = "~=2.17.1"
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torch = {version = "~=2.4.0", index = "pytorch"}
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torchvision = {version = "~=0.19.0", index = "pytorch"}
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torch = {version = "~=2.6.0", index = "pytorch"}
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torchvision = {version = "~=0.21.0", index = "pytorch"}
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# Datascience and useful extensions
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boto3 = "~=1.35.14"

jupyter/pytorch/ubi9-python-3.11/Pipfile.lock

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jupyter/pytorch/ubi9-python-3.11/requirements.txt

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