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colossalai/quantization/fp8.py

@@ -69,7 +69,7 @@ def all_reduce_fp8(tensor: torch.Tensor, fp8_format="e4m3") -> None:
     """
 
     world_size = dist.get_world_size()
-    rank = dist.get_rank()
+    dist.get_rank()
     input_type = tensor.dtype
     input_shape = tensor.shape
     input_device = tensor.device
@@ -102,4 +102,4 @@ def all_reduce_fp8(tensor: torch.Tensor, fp8_format="e4m3") -> None:
     for i in range(world_size):
         tensor_list[i] = tensor_list[i].view(fp8_type).to(input_type) * scale_list[i]
     tensor_out = torch.cat(tensor_list, dim=0)
-    tensor.data = tensor_out.view(input_shape).to(input_type)
+    tensor.data = tensor_out.view(input_shape).to(input_type)