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[Frontend] Bad words sampling parameter #5986

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@Alvant Alvant commented Jun 29, 2024

FIX #986


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@@ -28,6 +28,77 @@ class SamplingType(IntEnum):
to sample from."""


class NoBadWordsLogitsProcessor:
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I am not sure if this is the right file for the class. Still I thought it could be placed here near the LogitsProcessor type (the one just above). But if there is a better place for the processor class, I will be ready to move it)

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Yes I think that if we include this it should go in a different file.

if len(bad_word_ids) == 1: # 1-token words already processed
continue

if len(bad_word_ids) > len(past_tokens_ids) + 1:
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This differs from the original inequality here: https://github.com/huggingface/transformers/blob/main/src/transformers/generation/logits_process.py#L1131

if len(sequence_ids) > input_ids.shape[1]:  # the sequence is longer than the context, ignore
    continue

I may be wrong, but it seemed we should allow for one token to be generated (so + 1).

@njhill
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njhill commented Jul 1, 2024

I'm unsure whether or not it makes sense to support this. I know it's an option in transfomers but it was added very early on and the implementation seems limited/clunky to me. Wouldn't it make more sense for the bad words to be a list of strings rather than token sequences?

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Alvant commented Jul 2, 2024

I'm unsure whether or not it makes sense to support this. I know it's an option in transfomers but it was added very early on and the implementation seems limited/clunky to me. Wouldn't it make more sense for the bad words to be a list of strings rather than token sequences?

@njhill

Yes, I absolutely agree that this "list of lists of token ids" structure is not very friendly and easy to use 😅 Sure, list of strings will be more convenient. I believe I can change that. Just wanted to clarify some questions before actually making some changes.

If we make bad words as list of strings (and call it, for example, just bad_words), we will lose compatibility with transformers interface. If people come to vLLM after transformers, they might already now about bad_words_ids parameter and how to use it. And they will look for this parameter in SamplingParams attributes.

So, the main and only question is actually the following — should we keep transformers' "clumsy" bad_words_ids option together with more friendly bad_words? should we support list of lists of ids structure or only list of strings?

Oh, and one more point.

Currently, SamplingParams has stop_token_ids parameter (list of token ids). If we make bad_words as list of strings, would it not bring some "heterogeneity"? (one parameter is about token ids, another one is about strings) If bad_words_ids is about token ids, then it is quite consistent with stop_token_ids.

Hmm, just noticed, SamplingParams actually has another parameter — stop, which is like stop_token_ids, but consisting of strings...

Ok, I agree that introducing bad_words instead of bad_words_ids is overall a good idea) At the moment, I do not see a way to change the behavior easily (it seems unlikely that a logits_preprocessor will do the thing as we will not know token ids beforehand), but I will definitely look into this in the coming days) I am just afraid that, after changes, it will be a completely different PR 🙂

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njhill commented Jul 2, 2024

My view on this kind of thing is to collect some concrete requirements / use cases and base on that. I.e. avoid adding things with hypothetical benefit. Would be good to see some explicit examples of how/where this functionality is used, and that should then also inform what kind of thing makes the most sense w.r.t. the various options being discussed.

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Alvant commented Jul 4, 2024

Forgot to add, in vLLM, there is already something like bad words ids thing: logit_bias_logits_processor, which is added for the compatibility with OpenAI request params.

@@ -293,6 +293,44 @@ async def process_model_inputs_async(

return self.input_processor(llm_inputs)

async def process_model_params_async(
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Currently, async method is not tested. Checked only sync version and made async one based on it.


def __call__(
self,
past_tokens_ids: Union[List[int], Tuple[int]],
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Merged main recently. And, surprisingly, past_token_ids appeared as Tuple (previously it was List).

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Alvant commented Jul 11, 2024

@njhill 🥺 👉👈

Since last time, also did:

  • Move all logits process stuff to separate file
  • Make the appropriate process-bad-words-param changes to the AsyncLLMEngine
  • (And update and merge main, resolve some conflicts & fix some things)

@Alvant Alvant changed the title [Frontend] Add bad_words_ids sampling parameter [Frontend] Bad words sampling parameter Jul 15, 2024
@Alvant
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Alvant commented Jul 17, 2024

@njhill just reminding to take a look at the PR when you have time.

P.S. If you don't mind, I plan to do such reminders once a week for some time.

P.P.S. There is a new code conflict now. I am planning to resolve it as part of future work on the PR after it has been reviewed and commented on.

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njhill commented Jul 24, 2024

Apologies @Alvant and thanks for the reminder, I miss the GH notifications sometimes because I'm subscribed to so many things. I'll take another look at this in the next day or two.

@Alvant
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Alvant commented Aug 3, 2024

@njhill, it seems we need one more reminder :)

@Alvant
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Alvant commented Aug 11, 2024

@njhill

from vllm import LLM

model = LLM("openai-community/gpt2")

request_outputs = model.generate(
    "Will the 'Bad words' pull request be reviewed anytime soon?.."
)
output = request_outputs[0].outputs[0].text

print(output)  # "I don't know, my friend, I don't know..."

P.S.

The growing number of conflicts over time inspires me with a kind of terror that covers my skin with goosebumps. However, the belief that the request will still be merged after all is still alive in me...

@Alvant
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Alvant commented Aug 12, 2024

@njhill

I had an idea in my head. You said that you can sometimes miss GH notifications because you get so many of them from lots of sources. So, maybe if I ping you a little more often, the likelihood of you noticing will be higher. To check this out, now I'm going to ping you not once a week, but.... once a day! I'm announcing a Seven-Day Ping Marathon. And it starts... today!

Seven-Day Ping Marathon, Day 1

@njhill, ping

@Alvant
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Alvant commented Aug 13, 2024

Seven-Day Ping Marathon, Day 2

1 + 1 = 2
"Hello" + " world!" = "Hello world!"
Red + Blue = Violet

#5986 PR + @njhill = Reviewed #5986 PR = @Alvant happy

@Alvant
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Alvant commented Aug 14, 2024

Seven-Day Ping Marathon, Day 3

@njhill


  _                             
 |_)  _  ._ _  o ._   _|  _  ._ 
 | \ (/_ | | | | | | (_| (/_ |  
                                

@Alvant
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Alvant commented Aug 15, 2024

@njhill

Levenshtein says that there are only four steps from "reminder" to "review"...

Seven-Day Ping Marathon, Day 4

@Alvant
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Alvant commented Aug 16, 2024

@njhill

PR's alone, with no review,
Has also conflicts quite a few.
But I do like it anyway
And hope it'll be merged someday...

Seven-Day Ping Marathon, Day 5

@cadedaniel
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Hi @Alvant . Please remember that vLLM committers are not paid and it is unfair to treat them with these kind of reminders. Regardless of whether this PR is mergable or not, this behavior will not get it merged. Thanks for your understanding.

@Alvant
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Alvant commented Aug 16, 2024

Hello, @cadedaniel. Of course I understand. I'm sorry. All I needed now was at least a sign that the request was remembered. When you don't get any response, not a word, for a few weeks, it's starting to be a bit worrying. I hope you understand too) And your reply gives me new hope that the request will get some progress in the future (I can wait, I just want to be sure that I don't wait in vain). Thanks!

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Alvant commented Sep 27, 2024

Better an inglorious end than a miserable existence

@Alvant Alvant closed this Sep 27, 2024
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hwang136 commented Oct 7, 2024

I desperately need this feature. @Alvant could you open it again? you are saving the world. I appreciate your diligence and dedication.

@Alvant
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Alvant commented Oct 7, 2024

@hwang136 Wow, your words are just melting my heart) Thank you! Glad to hear that someone really needs the feature)

Sure, I can open the PR again. After all, it's just a matter of a click of a button)

I think I'm also going to update the code in this branch (merge all latest vLLM updates). So as to make it somewhat easier to use for everyone who needs it and might want to try.

However, I cannot guarantee that this code will ever be merged into the main vLLM repo (in the near or however distant future)

@Alvant Alvant reopened this Oct 7, 2024
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It seems that SamplingParams doesnt support the bad_words_ids parameter when generating
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