Fix Gemma inference generation
Context
Running generate.py for Gemma 2B gives the following error: File "torchtune/modules/kv_cache.py", line 47, in update assert input_pos.shape[0] == k_val.shape[2] AttributeError: 'NoneType' object has no attribute 'shape'
Changelog
Re-add input_pos to modules/gemma/transformer.py to match the base transformer.py
This allows the config to successfully generate text.
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/810
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:white_check_mark: No Failures
As of commit 0a12cbe2cca576524b7da4605c030403737c1431 with merge base 41341fd1df326c0f6665c4e0a79965c3a7e8d836 ():
:green_heart: Looks good so far! There are no failures yet. :green_heart:
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Hi @Carolinabanana!
Thank you for your pull request and welcome to our community.
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Awesome catch, thanks for fixing this! Do you mind signing the CLA? Then I'm happy to merge this in for you
Done