[Sana bug] bug fix for 2K model config#10340
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DN6 merged 5 commits intohuggingface:mainfrom Dec 23, 2024
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yiyixuxu
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Dec 22, 2024
yiyixuxu
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Dec 23, 2024
| base_output = model(**inputs_dict) | ||
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| model_size = compute_module_sizes(model)[""] | ||
| model_size = compute_module_persistent_sizes(model)[""] |
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we estimate the checkpoint size here, so should not include non-persistent buffers; technically we could pass remove_non_persistent to the named_module_tensors here but it will require a PR to accelerate so adding a function here for now
https://github.com/huggingface/accelerate/blob/200c9eb7833cfa505907f6f224ebf5a275aa6d92/src/accelerate/utils/modeling.py#L724
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Is there anything I need to do here? I'm not familiar with what you said above. 🤔
DN6
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Dec 23, 2024
sayakpaul
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Dec 23, 2024
* fix the Positinoal Embedding bug in 2K model; * Change the default model to the BF16 one for more stable training and output * make style * substract buffer size * add compute_module_persistent_sizes --------- Co-authored-by: yiyixuxu <yixu310@gmail.com>
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What does this PR do?
This PR fix the Positional Embedding missing bug. We re-introduce PE into > 2K resolution models. So we need to add PE back in
SanaTransformer2DModelCc: @yiyixuxu @sayakpaul @a-r-r-o-w , thanks in advance for merging this PR to fix the bug.
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