adopt Adopt

Author: lucidrains

alphafold3_pytorch/trainer.py

@@ -40,6 +40,7 @@
 
 from lion_pytorch.foreach import Lion
 from adam_atan2_pytorch.foreach import AdamAtan2
+from adam_atan2_pytorch.adopt_atan2 import AdoptAtan2
 
 from ema_pytorch import EMA
 
@@ -180,6 +181,7 @@ def __init__(
         ema_on_cpu = False,
         ema_update_model_with_ema_every: int | None = None,
         use_adam_atan2: bool = False,
+        use_adopt_atan2: bool = False,
         use_lion: bool = False,
         use_torch_compile: bool = False
     ):
@@ -247,11 +249,14 @@ def __init__(
         if not exists(optimizer):
             optimizer_klass = Adam
 
-            assert at_most_one_of(use_adam_atan2, use_lion)
+            assert at_most_one_of(use_adam_atan2, use_adopt_atan2, use_lion)
 
             if use_adam_atan2:
                 default_adam_kwargs.pop('eps', None)
                 optimizer_klass = AdamAtan2
+            elif use_adopt_atan2:
+                default_adam_kwargs.pop('eps', None)
+                optimizer_klass = AdoptAtan2
             elif use_lion:
                 default_adam_kwargs.pop('eps', None)
                 optimizer_klass = Lion

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "alphafold3-pytorch"
-version = "0.6.7"
+version = "0.6.8"
 description = "Alphafold 3 - Pytorch"
 authors = [
     { name = "Phil Wang", email = "lucidrains@gmail.com" },
@@ -24,7 +24,7 @@ classifiers=[
 ]
 
 dependencies = [
-    "adam-atan2-pytorch>=0.0.8",
+    "adam-atan2-pytorch>=0.1.12",
     "awscliv2>=2.3.1",
     "beartype",
     "biopython>=1.83",