Share one logits output buffer across prefill/decode/draft cuda-graph runners (#29779)
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@@ -17,6 +17,7 @@ from sglang.srt.model_executor.cuda_graph_config import (
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)
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from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMode
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from sglang.srt.model_executor.forward_context import ForwardContext, forward_context
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from sglang.srt.model_executor.graph_shared_output import GraphSharedOutput
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from sglang.srt.model_executor.model_runner import ModelRunner
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from sglang.srt.runtime_context import get_parallel
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from sglang.srt.server_args import set_global_server_args_for_scheduler
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@@ -403,6 +404,11 @@ class MockModelRunner(ModelRunner):
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self.is_hybrid_swa = case.sliding_window_size is not None
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self.sliding_window_size = case.sliding_window_size
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self.use_mla_backend = False
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# Runner-mode helpers mutate speculative graph sizes after construction.
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self.graph_shared_output = GraphSharedOutput(
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device=self.device,
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max_rows=pool_batch_size * max_context_len,
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)
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@property
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def hybrid_gdn_config(self):
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@@ -21,6 +21,7 @@ from sglang.srt.model_executor.forward_context import (
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forward_context,
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get_token_to_kv_pool,
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)
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from sglang.srt.model_executor.graph_shared_output import GraphSharedOutput
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from sglang.srt.model_executor.model_runner import ModelRunner
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from sglang.srt.runtime_context import get_parallel
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from sglang.srt.server_args import set_global_server_args_for_scheduler
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@@ -308,6 +309,11 @@ class MockMLAModelRunner(ModelRunner):
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self.use_mla_backend = True
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self.is_draft_worker = False
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self._kernel_warmed_up = True
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# Runner-mode helpers mutate speculative graph sizes after construction.
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self.graph_shared_output = GraphSharedOutput(
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device=self.device,
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max_rows=pool_batch_size * max_context_len,
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)
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@property
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def hybrid_gdn_config(self):
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