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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

125 lines
4.7 KiB
Python

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