[Speculative Decoding] EAGLE Implementation with Top-1 proposer (#6830)

This commit is contained in:
Abhinav Goyal
2024-08-22 15:12:24 +05:30
committed by GitHub
parent b3856bef7d
commit a3fce56b88
17 changed files with 854 additions and 83 deletions

View File

@@ -6,7 +6,8 @@ import pytest
import torch
from vllm.model_executor.utils import set_random_seed
from vllm.sequence import ExecuteModelRequest, Logprob, SamplerOutput
from vllm.sequence import (ExecuteModelRequest, HiddenStates, Logprob,
SamplerOutput, get_all_seq_ids)
from vllm.spec_decode.draft_model_runner import TP1DraftModelRunner
from vllm.spec_decode.multi_step_worker import MultiStepWorker
from vllm.spec_decode.top1_proposer import Top1Proposer
@@ -690,3 +691,36 @@ def test_use_draft_model_runner_advance_step():
worker.execute_model(execute_model_req=execute_model_req)
call_args_list = worker.model_runner._gpu_advance_step.call_args_list
assert len(call_args_list) == 1
@torch.inference_mode()
def test_expand_execute_model_request_sync_with_expand_hidden_states():
"""
In this test we verify that the logic for expanding the
seq_group_metadata_list remains in sync with the expansion logic of
the HiddenStates in _expand_execute_model_request.
"""
k = 5
batch_size = 16
seq_with_bonus_token_in_last_step = [1, 3, 8, 10, 13, 15]
seq_group_metadata_list, _, _ = create_batch(batch_size, k)
execute_model_request = ExecuteModelRequest(
seq_group_metadata_list,
previous_hidden_states=HiddenStates(
torch.arange(batch_size), seq_group_metadata_list,
torch.arange(batch_size, 2 * batch_size)))
expanded_execute_model_request, orig_seq_group_ids = MultiStepWorker.\
_expand_execute_model_request(execute_model_request,
seq_with_bonus_token_in_last_step)
all_seq_ids = torch.tensor(
get_all_seq_ids(
expanded_execute_model_request.seq_group_metadata_list))
ref_expanded_hidden_states = all_seq_ids + batch_size
ref_expanded_hidden_states[orig_seq_group_ids] -= batch_size
assert (ref_expanded_hidden_states == expanded_execute_model_request.
previous_hidden_states.hidden_states).all().item()