Framework for training and tracking deep learning models built on pytorch-lightning and hydra. Soon to encompass both image classification, semantic segmentation and object detection.
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Bumps pytorch-lightning from 1.6.4 to 1.9.4.
Release notes
Sourced from pytorch-lightning's releases.
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Commits
3bee819
Add strategy="auto" support on the 1.9.x branch (#16916)8e55ff7
[App] Fix environment check with command redirection (#16883)d4c5ff3
[App] Add support for plugins to return actions (#16832)3a7598d
Backwards compatibility forget_init_args
(#16851)6822960
Fix support for passing -1 tofind_usable_cuda_devices
function (#16866)b0c7908
Incorporate pytorch's fixes in device_count_nvml #16795058dd9f
Fix imports for lightning cli examples (#16871)5c3de46
Fix for hanging issue on TPU Pod (#16844)f80f2f9
Remove implicit frontend testing fromtesting.run_app_in_cloud
(#16741)ca69825
[App] Fix local app run with relative import (#16835)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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