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[Refactor]Refactor of vllm_ascend/distributed module (#5719)

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### 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>
This commit is contained in:
lty
2026-01-15 08:57:40 +08:00
committed by GitHub
parent f34b3b8ee9
commit 295018ec0f
56 changed files with 300 additions and 293 deletions
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2
docs/source/developer_guide/contribution/multi_node_test.md
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@@ -295,7 +295,7 @@ This section assumes that you already have a [Kubernetes](https://kubernetes.io/
[2025-12-30 11:01:01] INFO multi_node_config.py:348: Resolving cluster IPs via DNS...
[2025-12-30 11:01:01] INFO multi_node_config.py:212: Node 0 envs: {'VLLM_USE_MODELSCOPE': 'True', 'OMP_PROC_BIND': 'False', 'OMP_NUM_THREADS': '100', 'HCCL_BUFFSIZE': '1024', 'SERVER_PORT': '8080', 'NUMEXPR_MAX_THREADS': '128', 'DISAGGREGATED_PREFILL_PROXY_SCRIPT': 'examples/disaggregated_prefill_v1/load_balance_proxy_server_example.py', 'HCCL_IF_IP': '10.0.0.102', 'HCCL_SOCKET_IFNAME': 'eth0', 'GLOO_SOCKET_IFNAME': 'eth0', 'TP_SOCKET_IFNAME': 'eth0', 'LOCAL_IP': '10.0.0.102', 'NIC_NAME': 'eth0', 'MASTER_IP': '10.0.0.102'}
[2025-12-30 11:01:01] INFO multi_node_config.py:159: Launching proxy: python examples/disaggregated_prefill_v1/load_balance_proxy_server_example.py --host 10.0.0.102 --port 6000 --prefiller-hosts 10.0.0.102 --prefiller-ports 8080 --decoder-hosts 10.0.0.138 --decoder-ports 8080
[2025-12-30 11:01:01] INFO conftest.py:107: Starting server with command: vllm serve vllm-ascend/DeepSeek-V3-W8A8 --host 0.0.0.0 --port 8080 --data-parallel-size 2 --data-parallel-size-local 2 --tensor-parallel-size 8 --seed 1024 --enforce-eager --enable-expert-parallel --max-num-seqs 16 --max-model-len 8192 --max-num-batched-tokens 8192 --quantization ascend --trust-remote-code --no-enable-prefix-caching --gpu-memory-utilization 0.9 --kv-transfer-config {"kv_connector": "MooncakeConnectorV1", "kv_role": "kv_producer", "kv_port": "30000", "engine_id": "0", "kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector", "kv_connector_extra_config": {
[2025-12-30 11:01:01] INFO conftest.py:107: Starting server with command: vllm serve vllm-ascend/DeepSeek-V3-W8A8 --host 0.0.0.0 --port 8080 --data-parallel-size 2 --data-parallel-size-local 2 --tensor-parallel-size 8 --seed 1024 --enforce-eager --enable-expert-parallel --max-num-seqs 16 --max-model-len 8192 --max-num-batched-tokens 8192 --quantization ascend --trust-remote-code --no-enable-prefix-caching --gpu-memory-utilization 0.9 --kv-transfer-config {"kv_connector": "MooncakeConnectorV1", "kv_role": "kv_producer", "kv_port": "30000", "engine_id": "0", "kv_connector_extra_config": {
"prefill": {
"dp_size": 2,
"tp_size": 8