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add cpu option for p/d in nixl_connector (#28356)

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Signed-off-by: Hongming Zheng <hongming.zheng@intel.com>
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ZhengHongming888 2025-11-12 03:53:08 -08:00 committed by GitHub
parent d143152308
commit c5f10cc139
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1 changed files with 16 additions and 2 deletions
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18
vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.py
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@ -91,6 +91,7 @@ _NIXL_SUPPORTED_DEVICE = {
),
"tpu": ("cpu",),
"xpu": ("cpu",),
"cpu": ("cpu",),
}
# support for oot platform by providing mapping in current_platform
_NIXL_SUPPORTED_DEVICE.update(current_platform.get_nixl_supported_devices())
@ -348,7 +349,13 @@ class NixlConnectorScheduler:
+ vllm_config.parallel_config.data_parallel_rank
)
assert vllm_config.kv_transfer_config is not None
self.use_host_buffer = vllm_config.kv_transfer_config.kv_buffer_device == "cpu"
if current_platform.device_type == "cpu":
self.use_host_buffer = False
else:
self.use_host_buffer = (
vllm_config.kv_transfer_config.kv_buffer_device == "cpu"
)
logger.info("Initializing NIXL Scheduler %s", engine_id)
# Background thread for handling new handshake requests.
@ -820,7 +827,11 @@ class NixlConnectorWorker:
# cpu kv buffer for xfer
# used when device memory can not be registered under nixl
self.host_xfer_buffers: dict[str, torch.Tensor] = {}
self.use_host_buffer = self.kv_buffer_device == "cpu"
if self.device_type == "cpu":
self.use_host_buffer = False
else:
self.use_host_buffer = self.kv_buffer_device == "cpu"
# support for oot platform which can't register nixl memory
# type based on kv_buffer_device
nixl_memory_type = current_platform.get_nixl_memory_type()
@ -1021,6 +1032,9 @@ class NixlConnectorWorker:
# Set a no-op if the host buffer is not cpu.
if self.kv_buffer_device != "cpu":
return
# Set a no-op if self.device_type is 'cpu'.
if self.device_type == "cpu":
return
assert self.use_host_buffer
self.copy_blocks = copy_operation