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[Bugfix] Spec decode + structured output + spec model max len edge case (#28298)
Signed-off-by: Andy Lo <andy@mistral.ai>
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@ -7,6 +7,7 @@ import pytest
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from tests.utils import get_attn_backend_list_based_on_platform
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from vllm import LLM, SamplingParams
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from vllm.platforms import current_platform
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from vllm.sampling_params import StructuredOutputsParams
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_PROMPTS = [
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"1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1",
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@ -56,8 +57,34 @@ def test_eagle_max_len(
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"method": "eagle",
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"model": "yuhuili/EAGLE-LLaMA3-Instruct-8B",
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"num_speculative_tokens": num_speculative_tokens,
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"max_model_len": 80,
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},
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max_model_len=100,
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max_model_len=200,
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)
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sampling_params = SamplingParams(max_tokens=100, ignore_eos=True)
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llm.generate(_PROMPTS, sampling_params)
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sampling_params = SamplingParams(max_tokens=200, ignore_eos=True)
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outputs = llm.generate(_PROMPTS, sampling_params)
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for o in outputs:
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assert o.outputs[0].finish_reason == "length", (
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"This test is only meaningful if the output "
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"is truncated due to max length"
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)
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sampling_params = SamplingParams(
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max_tokens=200,
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structured_outputs=StructuredOutputsParams(
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regex="^" + "a b c d e " * 15 + "$"
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),
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)
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output = llm.generate(_PROMPTS, sampling_params)
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for o in output:
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assert o.prompt_token_ids is not None
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assert (
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len(o.prompt_token_ids)
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< 80
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< len(o.prompt_token_ids) + len(o.outputs[0].token_ids)
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< 200
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), (
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"This test is only meaningful if the output "
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"is longer than the eagle max length"
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)
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assert o.outputs[0].text == "a b c d e " * 15
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@ -325,6 +325,9 @@ class Scheduler(SchedulerInterface):
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scheduled_spec_decode_tokens[request.request_id] = (
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request.spec_token_ids
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)
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# New spec tokens will be set in `update_draft_token_ids` before the
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# next step when applicable.
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request.spec_token_ids = []
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# Encoder-related.
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if encoder_inputs_to_schedule:
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@ -1149,10 +1152,7 @@ class Scheduler(SchedulerInterface):
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continue
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# Add newly generated spec token ids to the request.
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if not spec_token_ids:
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# NOTE(woosuk): request.spec_token_ids should be updated.
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request.spec_token_ids.clear()
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elif self.structured_output_manager.should_advance(request):
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if self.structured_output_manager.should_advance(request):
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metadata = request.structured_output_request
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request.spec_token_ids = metadata.grammar.validate_tokens( # type: ignore[union-attr]
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spec_token_ids
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@ -269,9 +269,10 @@ class StructuredOutputManager:
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and token is not None
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and not structured_output_request.grammar.is_terminated()
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):
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assert structured_output_request.grammar.accept_tokens(
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accepted = structured_output_request.grammar.accept_tokens(
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req_id, [token]
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)
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assert accepted, (token, req_id, scheduled_spec_decode_tokens)
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state_advancements += 1
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cumulative_index += 1
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if state_advancements > 0:
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