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125 lines
4.7 KiB
Python
125 lines
4.7 KiB
Python
# Copyright 2023-2026 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""runner_backend utilities — phase → BaseCudaGraphBackend resolution.
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Centralizes per-phase backend resolution so platform overrides (NPU,
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out-of-tree) and future backend additions can plug in without
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modifying the runner files. Phase / backend identifiers used here
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live in :mod:`.cuda_graph_config`.
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"""
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from __future__ import annotations
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import logging
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from typing import TYPE_CHECKING
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from sglang.srt.model_executor.cuda_graph_config import Backend
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from sglang.srt.model_executor.runner_backend.base_cuda_graph_backend import (
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BaseCudaGraphBackend,
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)
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from sglang.srt.model_executor.runner_backend.breakable_cuda_graph_backend import (
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BreakableCudaGraphBackend,
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)
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from sglang.srt.model_executor.runner_backend.full_cuda_graph_backend import (
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FullCudaGraphBackend,
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)
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from sglang.srt.model_executor.runner_backend.tc_piecewise_cuda_graph_backend import (
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TcPiecewiseCudaGraphBackend,
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)
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if TYPE_CHECKING:
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from sglang.srt.model_executor.runner.base_cuda_graph_runner import (
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BaseCudaGraphRunner,
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)
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logger = logging.getLogger(__name__)
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# Track first occurrence of each fallback warning to avoid log spam.
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_TC_PIECEWISE_DECODE_FALLBACK_LOGGED = False
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def resolve_decode_backend(
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cuda_graph_runner: BaseCudaGraphRunner,
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) -> BaseCudaGraphBackend:
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"""Pick a backend instance from cuda_graph_config['decode']['backend'].
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NPU device returns NPUCudaGraphBackend regardless of mode (only
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the Full-style backend is wired for NPU today).
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"""
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model_runner = cuda_graph_runner.model_runner
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cfg = model_runner.server_args.cuda_graph_config
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backend_name = cfg.decode.backend if cfg is not None else Backend.FULL
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enable_memory_saver = model_runner.server_args.enable_memory_saver
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if model_runner.device == "npu":
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from sglang.srt.hardware_backend.npu.graph_runner.npu_cudagraph_backend import (
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NPUCudaGraphBackend,
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)
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return NPUCudaGraphBackend(
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cuda_graph_runner, enable_memory_saver=enable_memory_saver
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)
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elif model_runner.device == "xpu":
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if backend_name not in (Backend.FULL, Backend.DISABLED):
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raise ValueError(
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f"XPU only supports cuda_graph_config decode backend 'full', got '{backend_name}'"
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)
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from sglang.srt.hardware_backend.xpu.graph_runner.xpu_full_graph_backend import (
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FullXPUGraphBackend,
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)
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return FullXPUGraphBackend(cuda_graph_runner)
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if backend_name == Backend.BREAKABLE:
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return BreakableCudaGraphBackend(
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cuda_graph_runner,
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enable_memory_saver=enable_memory_saver,
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debug_eager=model_runner.server_args.debug_cuda_graph,
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)
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if backend_name == Backend.TC_PIECEWISE:
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global _TC_PIECEWISE_DECODE_FALLBACK_LOGGED
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if not _TC_PIECEWISE_DECODE_FALLBACK_LOGGED:
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logger.warning(
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"cuda_graph_config decode='tc_piecewise' is not yet implemented; "
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"falling back to 'full'."
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)
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_TC_PIECEWISE_DECODE_FALLBACK_LOGGED = True
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return FullCudaGraphBackend(
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cuda_graph_runner, enable_memory_saver=enable_memory_saver
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)
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def resolve_prefill_backend(
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cuda_graph_runner: BaseCudaGraphRunner,
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) -> BaseCudaGraphBackend:
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"""Pick a backend instance from cuda_graph_config['prefill']['backend']."""
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model_runner = cuda_graph_runner.model_runner
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cfg = model_runner.server_args.cuda_graph_config
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backend_name = cfg.prefill.backend if cfg is not None else Backend.TC_PIECEWISE
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if backend_name == Backend.BREAKABLE:
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return BreakableCudaGraphBackend(
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cuda_graph_runner,
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enable_memory_saver=model_runner.server_args.enable_memory_saver,
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debug_eager=model_runner.server_args.debug_cuda_graph,
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)
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if backend_name == Backend.FULL:
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return FullCudaGraphBackend(
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cuda_graph_runner,
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enable_memory_saver=model_runner.server_args.enable_memory_saver,
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)
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# Default: tc_piecewise.
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return TcPiecewiseCudaGraphBackend(cuda_graph_runner)
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