unit test for precomputing scales

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test/test_fsdp2/test_fsdp2_common.py

@@ -6,7 +6,7 @@
 import torch
 import torch.distributed as dist
 import torch.nn as nn
-from float8_experimental.fsdp_utils import precompute_float8_amax_for_fsdp
+from float8_experimental.fsdp_utils import precompute_float8_scale_for_fsdp
 
 
 def check_parity_no_mp(
@@ -31,7 +31,7 @@ def check_parity_no_mp(
             # TODO(future): add amax syncing once delayed scaling is supported
             optim.step()
             if model is fsdp_model and precompute:
-                precompute_float8_amax_for_fsdp(model)
+                precompute_float8_scale_for_fsdp(model)
         test_cls.assertEqual(losses[0], losses[1])