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[Model][Speculative Decoding] Expand DeepSeek MTP code to support k > n_predict (#13626)

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Signed-off-by: Benjamin Chislett <benjamin.chislett@centml.ai>
This commit is contained in:
Benjamin Chislett
2025-02-27 18:28:08 -05:00
committed by GitHub
parent 2e94b9cfbb
commit 9804145cac
6 changed files with 49 additions and 22 deletions
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14
vllm/model_executor/models/deepseek_mtp.py
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@@ -87,7 +87,7 @@ class DeepSeekMultiTokenPredictorLayer(nn.Module):
hidden_states=hidden_states,
residual=None)
hidden_states = residual + hidden_states
return self.shared_head(hidden_states)
return hidden_states
class DeepSeekMultiTokenPredictor(nn.Module):
@@ -121,12 +121,13 @@ class DeepSeekMultiTokenPredictor(nn.Module):
inputs_embeds: Optional[torch.Tensor] = None,
spec_step_idx: int = 0,
) -> torch.Tensor:
return self.layers[str(self.mtp_start_layer_idx + spec_step_idx)](
current_step_idx = (spec_step_idx % self.num_mtp_layers)
return self.layers[str(self.mtp_start_layer_idx + current_step_idx)](
input_ids,
positions,
previous_hidden_states,
inputs_embeds,
spec_step_idx,
current_step_idx,
)
def compute_logits(
@@ -135,9 +136,12 @@ class DeepSeekMultiTokenPredictor(nn.Module):
sampling_metadata: SamplingMetadata,
spec_step_idx: int = 0,
) -> torch.Tensor:
mtp_layer = self.layers[str(self.mtp_start_layer_idx + spec_step_idx)]
current_step_idx = (spec_step_idx % self.num_mtp_layers)
mtp_layer = self.layers[str(self.mtp_start_layer_idx +
current_step_idx)]
logits = self.logits_processor(mtp_layer.shared_head.head,
hidden_states, sampling_metadata)
mtp_layer.shared_head(hidden_states),
sampling_metadata)
return logits