refactor get_punica_wrapper() into platform

Signed-off-by: Shanshan Shen <467638484@qq.com>

vllm/lora/punica_wrapper/punica_selector.py

@@ -1,19 +1,7 @@
 from vllm.platforms import current_platform
-from vllm.utils import print_info_once
 
 from .punica_base import PunicaWrapperBase
 
 
 def get_punica_wrapper(*args, **kwargs) -> PunicaWrapperBase:
-    if current_platform.is_cuda_alike():
-        # Lazy import to avoid ImportError
-        from vllm.lora.punica_wrapper.punica_gpu import PunicaWrapperGPU
-        print_info_once("Using PunicaWrapperGPU.")
-        return PunicaWrapperGPU(*args, **kwargs)
-    elif current_platform.is_hpu():
-        # Lazy import to avoid ImportError
-        from vllm.lora.punica_wrapper.punica_hpu import PunicaWrapperHPU
-        print_info_once("Using PunicaWrapperHPU.")
-        return PunicaWrapperHPU(*args, **kwargs)
-    else:
-        raise NotImplementedError
+    return current_platform.get_punica_wrapper(*args, **kwargs)

vllm/platforms/cpu.py

@@ -4,6 +4,8 @@
 import torch
 
 from vllm.logger import init_logger
+from vllm.lora.punica_wrapper.punica_base import PunicaWrapperBase
+from vllm.utils import print_info_once
 
 from .interface import Platform, PlatformEnum, _Backend
 
@@ -106,3 +108,8 @@ def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
     def is_pin_memory_available(cls) -> bool:
         logger.warning("Pin memory is not supported on CPU.")
         return False
+
+    @classmethod
+    def get_punica_wrapper(cls, *args, **kwargs) -> PunicaWrapperBase:
+        print_info_once("PunicaWrapperCPU is not implemented yet.")
+        raise NotImplementedError

vllm/platforms/cuda.py

@@ -15,6 +15,9 @@
 import vllm._C  # noqa
 import vllm.envs as envs
 from vllm.logger import init_logger
+from vllm.lora.punica_wrapper.punica_base import PunicaWrapperBase
+from vllm.lora.punica_wrapper.punica_gpu import PunicaWrapperGPU
+from vllm.utils import print_info_once
 
 from .interface import DeviceCapability, Platform, PlatformEnum
 
@@ -148,6 +151,11 @@ def get_current_memory_usage(cls,
         torch.cuda.reset_peak_memory_stats(device)
         return torch.cuda.max_memory_allocated(device)
 
+    @classmethod
+    def get_punica_wrapper(cls, *args, **kwargs) -> PunicaWrapperBase:
+        print_info_once("Using PunicaWrapperGPU.")
+        return PunicaWrapperGPU(*args, **kwargs)
+
 
 # NVML utils
 # Note that NVML is not affected by `CUDA_VISIBLE_DEVICES`,

vllm/platforms/hpu.py

@@ -3,6 +3,9 @@
 import torch
 
 from vllm.logger import init_logger
+from vllm.lora.punica_wrapper.punica_base import PunicaWrapperBase
+from vllm.lora.punica_wrapper.punica_hpu import PunicaWrapperHPU
+from vllm.utils import print_info_once
 
 from .interface import Platform, PlatformEnum, _Backend
 
@@ -58,3 +61,8 @@ def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
     def is_pin_memory_available(cls):
         logger.warning("Pin memory is not supported on HPU.")
         return False
+
+    @classmethod
+    def get_punica_wrapper(cls, *args, **kwargs) -> PunicaWrapperBase:
+        print_info_once("Using PunicaWrapperHPU.")
+        return PunicaWrapperHPU(*args, **kwargs)

vllm/platforms/interface.py

@@ -8,6 +8,7 @@
 import torch
 
 from vllm.logger import init_logger
+from vllm.lora.punica_wrapper.punica_base import PunicaWrapperBase
 
 if TYPE_CHECKING:
     from vllm.config import VllmConfig
@@ -247,6 +248,13 @@ def get_current_memory_usage(cls,
         """
         raise NotImplementedError
 
+    @classmethod
+    def get_punica_wrapper(cls, *args, **kwargs) -> PunicaWrapperBase:
+        """
+        Return the punica wrapper for the current platform.
+        """
+        raise NotImplementedError
+
 
 class UnspecifiedPlatform(Platform):
     _enum = PlatformEnum.UNSPECIFIED

vllm/platforms/rocm.py

@@ -6,6 +6,9 @@
 
 import vllm.envs as envs
 from vllm.logger import init_logger
+from vllm.lora.punica_wrapper.punica_base import PunicaWrapperBase
+from vllm.lora.punica_wrapper.punica_gpu import PunicaWrapperGPU
+from vllm.utils import print_info_once
 
 from .interface import DeviceCapability, Platform, PlatformEnum, _Backend
 
@@ -117,3 +120,8 @@ def get_current_memory_usage(cls,
                                  ) -> float:
         torch.cuda.reset_peak_memory_stats(device)
         return torch.cuda.max_memory_allocated(device)
+
+    @classmethod
+    def get_punica_wrapper(cls, *args, **kwargs) -> PunicaWrapperBase:
+        print_info_once("Using PunicaWrapperGPU.")
+        return PunicaWrapperGPU(*args, **kwargs)