[feature] kv transfer support of ascend npu (#7795)
Co-authored-by: liupeng <liupeng374@huawei.com>
This commit is contained in:
6
python/sglang/srt/disaggregation/ascend/__init__.py
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6
python/sglang/srt/disaggregation/ascend/__init__.py
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@@ -0,0 +1,6 @@
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from sglang.srt.disaggregation.ascend.conn import (
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AscendKVBootstrapServer,
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AscendKVManager,
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AscendKVReceiver,
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AscendKVSender,
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)
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44
python/sglang/srt/disaggregation/ascend/conn.py
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44
python/sglang/srt/disaggregation/ascend/conn.py
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import logging
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from sglang.srt.disaggregation.ascend.transfer_engine import AscendTransferEngine
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from sglang.srt.disaggregation.mooncake.conn import (
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MooncakeKVBootstrapServer,
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MooncakeKVManager,
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MooncakeKVReceiver,
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MooncakeKVSender,
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)
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from sglang.srt.utils import get_local_ip_by_remote
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logger = logging.getLogger(__name__)
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class AscendKVManager(MooncakeKVManager):
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def init_engine(self):
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# TransferEngine initialized on ascend.
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local_ip = get_local_ip_by_remote()
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self.engine = AscendTransferEngine(
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hostname=local_ip,
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npu_id=self.kv_args.gpu_id,
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disaggregation_mode=self.disaggregation_mode,
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)
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def register_buffer_to_engine(self):
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self.engine.register(
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self.kv_args.kv_data_ptrs[0], sum(self.kv_args.kv_data_lens)
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)
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# The Ascend backend optimize batch registration for small memory blocks.
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self.engine.batch_register(
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self.kv_args.aux_data_ptrs, self.kv_args.aux_data_lens
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)
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class AscendKVSender(MooncakeKVSender):
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pass
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class AscendKVReceiver(MooncakeKVReceiver):
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pass
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class AscendKVBootstrapServer(MooncakeKVBootstrapServer):
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pass
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58
python/sglang/srt/disaggregation/ascend/transfer_engine.py
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58
python/sglang/srt/disaggregation/ascend/transfer_engine.py
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@@ -0,0 +1,58 @@
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import logging
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import os
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from typing import List, Optional
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from sglang.srt.disaggregation.mooncake.transfer_engine import MooncakeTransferEngine
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from sglang.srt.disaggregation.utils import DisaggregationMode
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logger = logging.getLogger(__name__)
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class AscendTransferEngine(MooncakeTransferEngine):
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def __init__(
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self, hostname: str, npu_id: int, disaggregation_mode: DisaggregationMode
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):
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try:
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from mf_adapter import TransferEngine
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except ImportError as e:
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raise ImportError(
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"Please install mf_adapter, for details, see docs/backend/pd_disaggregation.md"
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) from e
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self.engine = TransferEngine()
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self.hostname = hostname
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self.npu_id = npu_id
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# Centralized storage address of the AscendTransferEngine
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self.store_url = os.getenv("ASCEND_MF_STORE_URL")
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if disaggregation_mode == DisaggregationMode.PREFILL:
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self.role = "Prefill"
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elif disaggregation_mode == DisaggregationMode.DECODE:
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self.role = "Decode"
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else:
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logger.error(f"Unsupported DisaggregationMode: {disaggregation_mode}")
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raise ValueError(f"Unsupported DisaggregationMode: {disaggregation_mode}")
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self.session_id = f"{self.hostname}:{self.engine.get_rpc_port()}"
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self.initialize()
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def initialize(self) -> None:
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"""Initialize the ascend transfer instance."""
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ret_value = self.engine.initialize(
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self.store_url,
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self.session_id,
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self.role,
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self.npu_id,
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)
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if ret_value != 0:
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logger.error("Ascend Transfer Engine initialization failed.")
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raise RuntimeError("Ascend Transfer Engine initialization failed.")
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def batch_register(self, ptrs: List[int], lengths: List[int]):
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try:
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ret_value = self.engine.batch_register_memory(ptrs, lengths)
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except Exception:
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# Mark register as failed
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ret_value = -1
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if ret_value != 0:
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logger.debug(f"Ascend memory registration for ptr {ptrs} failed.")
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@@ -132,13 +132,9 @@ class MooncakeKVManager(BaseKVManager):
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):
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self.kv_args = args
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self.local_ip = get_local_ip_auto()
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self.engine = MooncakeTransferEngine(
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hostname=self.local_ip,
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gpu_id=self.kv_args.gpu_id,
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ib_device=self.kv_args.ib_device,
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)
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self.is_mla_backend = is_mla_backend
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self.disaggregation_mode = disaggregation_mode
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self.init_engine()
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# for p/d multi node infer
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self.bootstrap_port = server_args.disaggregation_bootstrap_port
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self.dist_init_addr = server_args.dist_init_addr
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@@ -225,6 +221,13 @@ class MooncakeKVManager(BaseKVManager):
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self.failure_records: Dict[int, str] = {}
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self.failure_lock = threading.Lock()
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def init_engine(self):
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self.engine = MooncakeTransferEngine(
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hostname=self.local_ip,
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gpu_id=self.kv_args.gpu_id,
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ib_device=self.kv_args.ib_device,
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)
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def register_buffer_to_engine(self):
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for kv_data_ptr, kv_data_len in zip(
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self.kv_args.kv_data_ptrs, self.kv_args.kv_data_lens
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@@ -1,6 +1,8 @@
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import logging
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from typing import List, Optional
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from sglang.srt.utils import get_bool_env_var, get_free_port
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logger = logging.getLogger(__name__)
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@@ -53,12 +55,21 @@ class MooncakeTransferEngine:
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device_name: Optional[str],
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) -> None:
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"""Initialize the mooncake instance."""
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ret_value = self.engine.initialize(
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hostname,
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"P2PHANDSHAKE",
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"rdma",
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device_name if device_name is not None else "",
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)
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if get_bool_env_var("ENABLE_ASCEND_TRANSFER_WITH_MOONCAKE", "false"):
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hostname += f":{get_free_port()}:npu_{self.gpu_id}"
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ret_value = self.engine.initialize(
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hostname,
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"P2PHANDSHAKE",
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"ascend",
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device_name if device_name is not None else "",
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)
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else:
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ret_value = self.engine.initialize(
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hostname,
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"P2PHANDSHAKE",
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"rdma",
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device_name if device_name is not None else "",
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)
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if ret_value != 0:
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logger.error("Mooncake Transfer Engine initialization failed.")
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raise RuntimeError("Mooncake Transfer Engine initialization failed.")
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@@ -15,7 +15,7 @@ import requests
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import torch
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import torch.distributed as dist
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from sglang.srt.utils import get_ip
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from sglang.srt.utils import get_ip, is_npu
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if TYPE_CHECKING:
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from sglang.srt.managers.schedule_batch import Req
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@@ -94,8 +94,12 @@ class MetadataBuffers:
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custom_mem_pool: torch.cuda.MemPool = None,
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):
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self.custom_mem_pool = custom_mem_pool
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device = "cuda" if self.custom_mem_pool else "cpu"
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device = "cpu"
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if is_npu():
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# For ascend backend, output tokens are placed in the NPU and will be transferred by D2D channel.
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device = "npu"
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elif self.custom_mem_pool:
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device = "cuda"
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with (
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torch.cuda.use_mem_pool(self.custom_mem_pool)
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if self.custom_mem_pool
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@@ -200,6 +204,7 @@ class MetadataBuffers:
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class TransferBackend(Enum):
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MOONCAKE = "mooncake"
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NIXL = "nixl"
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ASCEND = "ascend"
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FAKE = "fake"
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@@ -231,6 +236,23 @@ def get_kv_class(transfer_backend: TransferBackend, class_type: KVClassType):
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KVClassType.BOOTSTRAP_SERVER: MooncakeKVBootstrapServer,
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}
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return class_mapping.get(class_type)
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elif transfer_backend == TransferBackend.ASCEND:
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from sglang.srt.disaggregation.ascend import (
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AscendKVBootstrapServer,
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AscendKVManager,
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AscendKVReceiver,
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AscendKVSender,
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)
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from sglang.srt.disaggregation.base import KVArgs
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class_mapping = {
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KVClassType.KVARGS: KVArgs,
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KVClassType.MANAGER: AscendKVManager,
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KVClassType.SENDER: AscendKVSender,
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KVClassType.RECEIVER: (AscendKVReceiver),
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KVClassType.BOOTSTRAP_SERVER: AscendKVBootstrapServer,
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}
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return class_mapping.get(class_type)
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elif transfer_backend == TransferBackend.NIXL:
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from sglang.srt.disaggregation.base import KVArgs
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from sglang.srt.disaggregation.nixl import (
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