simplify duplicative device check for cuda

Signed-off-by: Ziliang Peng <[email protected]>

Author: ziliangpeng

vllm/platforms/cuda.py

@@ -64,8 +64,7 @@ def supported_dtypes(self) -> list[torch.dtype]:
         if self.has_device_capability(80):
             # Ampere and Hopper or later NVIDIA GPUs.
             return [torch.bfloat16, torch.float16, torch.float32]
-        elif (not self.has_device_capability(80)
-              ) and self.has_device_capability(60):
+        elif self.has_device_capability(60):
             # Pascal, Volta and Turing NVIDIA GPUs, BF16 is not supported
             return [torch.float16, torch.float32]
         # Kepler and Maxwell NVIDIA GPUs, only FP32 is supported,