Minor code style fix for dllm (#14836)
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@@ -710,7 +710,6 @@ class Req:
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self.dimensions = dimensions
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# For diffusion LLM
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self.dllm_ids = []
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self.dllm_block_offset = 0
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self.dllm_config = dllm_config
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@@ -786,22 +785,19 @@ class Req:
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def is_dllm(self):
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return self.dllm_config is not None
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def _init_fill_ids_for_dllm(self):
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if not self.fill_ids:
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self.fill_ids = (
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self.origin_input_ids
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+ [self.dllm_config.mask_id] * self.dllm_config.block_size
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)
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else:
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self.dllm_block_offset += self.dllm_config.block_size
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self.fill_ids += [self.dllm_config.mask_id] * self.dllm_config.block_size
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def init_next_round_input(self, tree_cache: Optional[BasePrefixCache] = None):
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if self.is_dllm():
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if not self.fill_ids:
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self.dllm_ids = (
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self.origin_input_ids
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+ [
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self.dllm_config.mask_id,
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]
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* self.dllm_config.block_size
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)
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else:
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self.dllm_block_offset += self.dllm_config.block_size
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self.dllm_ids += [
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self.dllm_config.mask_id
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] * self.dllm_config.block_size
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self.fill_ids = self.dllm_ids
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self._init_fill_ids_for_dllm()
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else:
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self.fill_ids = self.origin_input_ids + self.output_ids
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@@ -1322,9 +1318,11 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
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), f"Expected {len(self.out_cache_loc)}, got {self.extend_num_tokens}"
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def prepare_for_extend(self):
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self.forward_mode = (
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ForwardMode.DLLM_EXTEND if self.is_dllm() else ForwardMode.EXTEND
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)
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self.forward_mode = ForwardMode.EXTEND
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if self.is_dllm():
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# For DLLM, we use a separate forward mode
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self.forward_mode = ForwardMode.DLLM_EXTEND
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# Init tensors
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reqs = self.reqs
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