295018ec0f
### What this PR does / why we need it?
Based on the RFC:https://github.com/vllm-project/vllm-ascend/issues/5604
This PR is a refactoring of vllm_ascend/distributed, moving all
kv_transfer realtaed codes into a dedicated folder, which has already
been done in vLLM
### Does this PR introduce _any_ user-facing change?
NA
### How was this patch tested?
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef
---------
Signed-off-by: lty <linhebiwen@gmail.com>
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
Python
import ipaddress
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import threading
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from typing import Optional
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from mooncake.engine import TransferEngine # type: ignore
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class GlobalTE():
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def __init__(self):
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self.transfer_engine = None
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self.is_register_buffer: bool = False
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self.transfer_engine_lock = threading.Lock()
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self.register_buffer_lock = threading.Lock()
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def get_transfer_engine(self, hostname: str, device_name: Optional[str]):
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try:
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ip = ipaddress.ip_address(hostname)
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if isinstance(ip, ipaddress.IPv6Address):
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raise RuntimeError(
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"The backend of mooncake's Ascend Direct Xfer Library currently does not support IPv6."
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)
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except ValueError:
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pass
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if self.transfer_engine is None:
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with self.transfer_engine_lock:
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# Double-Checked Locking
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if self.transfer_engine is None:
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if TransferEngine is None:
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raise RuntimeError("mooncake is not available")
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self.transfer_engine = TransferEngine()
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device_name = device_name if device_name is not None else ""
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ret_value = self.transfer_engine.initialize(
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hostname, "P2PHANDSHAKE", "ascend", device_name)
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if ret_value != 0:
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raise RuntimeError(
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f"TransferEngine initialization failed with ret_value: {ret_value}"
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)
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return self.transfer_engine
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def register_buffer(self, ptrs: list[int], sizes: list[int]):
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with self.register_buffer_lock:
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assert self.transfer_engine is not None, "Transfer engine must be initialized"
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if self.is_register_buffer:
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return
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for ptr, size in zip(ptrs, sizes):
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ret_value = self.transfer_engine.register_memory(ptr, size)
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if ret_value != 0:
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raise RuntimeError("Mooncake memory registration failed.")
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self.is_register_buffer = True
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global_te = GlobalTE()
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