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[Bugfix] Fix Engine Failing After Invalid Request - AsyncEngineDeadError #5903

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robertgshaw2-redhat
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@robertgshaw2-redhat robertgshaw2-redhat commented Jun 27, 2024

Sending invalid logit_bias parameter can put the server into a bad state:

curl http://localhost:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Meta-Llama-3-8B-Instruct",
    "logit_bias": {
        "AI": -100
    },
    "messages": [
        {
            "role": "system",
            "content": "You are a a helpful assistant."
        },
        {
            "role": "user",
            "content": "What can I do with AI? Provide a very short answer."
        }
    ]
}'
  • In the logits_processor, we call int(token_id) from the logit_bias
  • If the token_id cannot be converted to an int, python throws a value error. However, this error will not arise until the request is already in the LLMEngine, since the logits_processor is used during sampling
  • The fix is to validate that the logits_bias is well formed before we add it into the LLMEngine such that we can throw the value error at the OpenAI layer and avoid throwing the error in LLMEngine

Launch Server:

python3 -m vllm.entrypoints.openai.api_server --model meta-llama/Meta-Llama-3-8B-Instruct --enforce-eager

Send Requests:

curl http://localhost:8000/v1/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Meta-Llama-3-8B-Instruct",
    "logit_bias": {
        "AI": -100
    },
    "prompt": "Hello my name is"
}'

^ this fails, but subsequent requests will work

curl http://localhost:8000/v1/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Meta-Llama-3-8B-Instruct",
    "prompt": "Hello my name is"
}'

^ this works after the fix!

FIX #5822 (link existing issues this PR will resolve)

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@robertgshaw2-redhat robertgshaw2-redhat changed the title [Bugfix] Fix Engine Failing After Invalid Request [Bugfix] Fix Engine Failing After Invalid Request - AsyncEngineDeadError Jun 27, 2024
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Thanks for the fix! Just a few comments

@robertgshaw2-redhat
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@DarkLight1337 addressed

@robertgshaw2-redhat
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Sorry, fixed

@robertgshaw2-redhat robertgshaw2-redhat enabled auto-merge (squash) June 27, 2024 13:34
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Sorry, just noticed this

@DarkLight1337 DarkLight1337 disabled auto-merge June 27, 2024 13:47
@DarkLight1337 DarkLight1337 enabled auto-merge (squash) June 27, 2024 14:04
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To speed up the CI queue for #5905, I've cancelled the distributed tests for the latest CI run in this PR since they won't pass anyway until #5905 has been merged. Please merge main into your branch after that happens so that the CI can pass once again.

@@ -751,10 +751,6 @@ def __init__(self,
self.register_parameter("bias", None)

def weight_loader(self, param: Parameter, loaded_weight: torch.Tensor):
# Special case for Fp8 scales.
fp8_scales_shard_indexer = getattr(param, "fp8_scales_shard_indexer",
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Looks like you accidentally included parts of your other PR here

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shoot. Will undo

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[Bug]: AsyncEngineDeadError: Background loop is stopped after invalid parameter in request
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