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A question on a break statement in HF_LLM::forward() #33

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sadra-barikbin opened this issue Feb 18, 2024 · 2 comments · May be fixed by #36
Open

A question on a break statement in HF_LLM::forward() #33

sadra-barikbin opened this issue Feb 18, 2024 · 2 comments · May be fixed by #36
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enhancement New feature or request

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@sadra-barikbin
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Hi there!
I couldn't understand why a break has been used (not a continue) during creating batch_inputs and batch_outputs in the case there's no candidate for a context:

if len(_candidates) == 0:
break

This skips the next contexts and they don't come into batch_inputs and batch_outputs. Is this the desired behavior? If yes, could you please tell why is so? Furthermore, it seems that we would face KeyError during creating batch_input_representations, this way.

for step in range(len(contexts) // _minibatch_size + 1 ):
_input = {}
for _i in range(step*_minibatch_size, min((step+1)*_minibatch_size, len(contexts))):
if len(_ids_tables[_i]) == 0: break
_current_context = batch_inputs[_ids_tables[_i][0]]

as we're iterating over contexts including those we skipped earlier but there's no entry for them in _ids_tables.

@ClementRomac

@ClementRomac
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Hi!

Thanks for spotting this. This looks like a legacy code that shouldn't be there anymore.
I think, at least for decoder-only models, we should create a single output with the last token of input to still be able to get activations when pre_encode_inputs=True. I guess the easiest fix would be to replace the break statement by _candidates = [""].

I need to properly test this to verify it is actually necessary.

@ClementRomac ClementRomac self-assigned this Feb 21, 2024
@ClementRomac ClementRomac added the enhancement New feature or request label Feb 21, 2024
@ClementRomac ClementRomac linked a pull request Feb 21, 2024 that will close this issue
@ClementRomac
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Hi,

I opened this PR which should handle empty candidates.

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