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Fix Gemma inference generation

Open RefractAI opened this issue 1 year ago • 2 comments

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.

RefractAI avatar Apr 19 '24 12:04 RefractAI

:link: Helpful Links

:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/810

Note: Links to docs will display an error until the docs builds have been completed.

:white_check_mark: No Failures

As of commit 0a12cbe2cca576524b7da4605c030403737c1431 with merge base 41341fd1df326c0f6665c4e0a79965c3a7e8d836 (image): :green_heart: Looks good so far! There are no failures yet. :green_heart:

This comment was automatically generated by Dr. CI and updates every 15 minutes.

pytorch-bot[bot] avatar Apr 19 '24 12:04 pytorch-bot[bot]

Hi @Carolinabanana!

Thank you for your pull request and welcome to our community.

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facebook-github-bot avatar Apr 19 '24 12:04 facebook-github-bot

Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks!

facebook-github-bot avatar Apr 19 '24 16:04 facebook-github-bot

Awesome catch, thanks for fixing this! Do you mind signing the CLA? Then I'm happy to merge this in for you

Done

RefractAI avatar Apr 19 '24 16:04 RefractAI