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Remove apparently-unused import torchvision in model.py #1305

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Merged
merged 3 commits into from
Oct 17, 2024

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swolchok
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pytorch-bot bot commented Oct 16, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchchat/1305

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Meta Open Source bot. label Oct 16, 2024
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lgtm

@mikekgfb
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Should this also include removing torchvision from install/install_requirements.sh ?

@swolchok swolchok merged commit 95ebcb8 into main Oct 17, 2024
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mikekgfb added a commit to mikekgfb/torchchat-1 that referenced this pull request Oct 17, 2024
After pytorch#1305 removed dependence on torchvision, this PR drops torchvision installation as part of install_requirements.sh
mreso pushed a commit to mreso/torchchat that referenced this pull request Oct 18, 2024
lessw2020 added a commit that referenced this pull request Oct 25, 2024
* add pp_dim, distributed, num_gpus, num_nodes as cmd line args

* add tp_dim

* add elastic_launch

* working, can now launch from cli

* Remove numpy < 2.0 pin to align with pytorch (#1301)

Fix #1296

Align with https://github.com/pytorch/pytorch/blame/main/requirements.txt#L5

* Update torchtune pin to 0.4.0-dev20241010 (#1300)

Co-authored-by: vmpuri <[email protected]>

* Unbreak gguf util CI job by fixing numpy version (#1307)

Setting numpy version to be the range required by gguf: https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/pyproject.toml

* Remove apparently-unused import torchvision in model.py (#1305)

Co-authored-by: vmpuri <[email protected]>

* remove global var for tokenizer type + patch tokenizer to allow list of sequences

* make pp tp visible in interface

* Add llama 3.1 to dist_run.py

* [WIP] Move dist inf into its own generator

* Add initial generator interface to dist inference

* Added generate method and placeholder scheduler

* use prompt parameter for dist generation

* Enforce tp>=2

* Build tokenizer from TokenizerArgs

* Disable torchchat format + constrain possible models for distributed

* disable calling dist_run.py directly for now

* Restore original dist_run.py for now

* disable _maybe_parallelize_model again

* Reenable arg.model_name in dist_run.py

* Use singleton logger instead of print in generate

* Address PR comments; try/expect in launch_dist_inference; added comments

---------

Co-authored-by: lessw2020 <[email protected]>
Co-authored-by: Mengwei Liu <[email protected]>
Co-authored-by: vmpuri <[email protected]>
Co-authored-by: vmpuri <[email protected]>
Co-authored-by: Scott Wolchok <[email protected]>
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4 participants