every machine keep track of ema if using switch ema

Author: lucidrains

alphafold3_pytorch/trainer.py

@@ -209,10 +209,14 @@ def __init__(
         self.distributed_eval = distributed_eval
         self.will_eval_or_test = self.is_main or distributed_eval
 
+        # using "switch" ema
+
+        self.switch_ema = exists(ema_update_model_with_ema_every)
+
         # exponential moving average
 
         self.ema_model = None
-        self.has_ema = self.will_eval_or_test and use_ema
+        self.has_ema = (self.will_eval_or_test or self.switch_ema) and use_ema
 
         if self.has_ema:
             self.ema_model = EMA(

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "alphafold3-pytorch"
-version = "0.6.3"
+version = "0.6.4"
 description = "Alphafold 3 - Pytorch"
 authors = [
     { name = "Phil Wang", email = "[email protected]" },