fix: set current CUDA device in _inplace_pin_memory function

checkpoint_engine/pin_memory.py

@@ -191,6 +191,8 @@ class TPMeta(BaseModel):
 
 
 def _inplace_pin_memory(files: list[str], rank: int | None = None) -> list[MemoryBuffer]:
+    device_index = torch.cuda.current_device()
+
     def _parse_and_pin_from_safetensors(file_path: str) -> MemoryBuffer:
         """
         safetensors format see https://huggingface.co/docs/safetensors/en/index#format.
@@ -204,6 +206,7 @@ def _pin(t: torch.Tensor):
             Pin the memory of tensor in-place.
             See: https://github.com/pytorch/pytorch/issues/32167
             """
+            torch.cuda.set_device(device_index)
             cudart = torch.cuda.cudart()
             r = cudart.cudaHostRegister(t.data_ptr(), t.numel() * t.element_size(), 0)
             assert r == 0, f"pin memory error, error code: {r}"

examples/update.py

@@ -14,7 +14,8 @@
 from loguru import logger
 from safetensors import safe_open
 
-from checkpoint_engine.ps import ParameterServer, request_inference_to_update
+from checkpoint_engine import request_inference_to_update
+from checkpoint_engine.ps import ParameterServer
 
 
 @contextmanager