Fix 1-step draft model forward (#11653)
Signed-off-by: Shangming Cai <csmthu@gmail.com> Co-authored-by: Liangsheng Yin <lsyincs@gmail.com>
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@@ -33,15 +33,7 @@ class DraftBackendFactory:
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def create_decode_backend(self):
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if self.speculative_num_steps == 1:
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class DummyAttnBackend:
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def __init__(self):
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pass
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def init_forward_metadata(*args, **kwargs):
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pass
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return DummyAttnBackend()
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return None
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backend_map = {
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"flashinfer": self._create_flashinfer_decode_backend,
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@@ -276,7 +276,7 @@ class EagleVerifyInputV2Mixin:
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accept_length=accept_length, # mutable
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simulate_acc_len=SIMULATE_ACC_LEN,
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bs=bs,
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spec_steps=self.draft_token_num,
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spec_steps=self.spec_steps,
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)
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# Include the bonus token
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@@ -218,6 +218,7 @@ class EAGLEWorker(TpModelWorker):
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return
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# Capture draft
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if self.speculative_num_steps > 1:
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tic = time.perf_counter()
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before_mem = get_available_gpu_memory(self.device, self.gpu_id)
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logger.info(
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@@ -500,8 +501,11 @@ class EAGLEWorker(TpModelWorker):
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)
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else:
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forward_batch.can_run_dp_cuda_graph = False
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if not forward_batch.forward_mode.is_idle():
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# Initialize attention backend
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if (
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not forward_batch.forward_mode.is_idle()
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and self.speculative_num_steps > 1
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):
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# Skip attention backend init for idle mode or 1-step draft
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self.draft_attn_backend.init_forward_metadata(forward_batch)
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# Run forward steps
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parent_list, top_scores_index, draft_tokens = self.draft_forward(
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@@ -97,6 +97,9 @@ class EAGLEWorkerV2(EAGLEWorker):
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forward_batch,
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)
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else:
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if self.speculative_num_steps > 1:
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# Skip attention backend init for 1-step draft,
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# `draft_forward` only does sample in this case.
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self.draft_attn_backend.init_forward_metadata(forward_batch)
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parent_list, top_scores_index, draft_tokens = self.draft_forward(
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forward_batch
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