add option to apply mean to energy

src/fairchem/core/models/equiformer_v2/equiformer_v2.py

@@ -610,9 +610,9 @@ def no_weight_decay(self) -> set:
 
 @registry.register_model("equiformer_v2_energy_head")
 class EquiformerV2EnergyHead(nn.Module, HeadInterface):
-    def __init__(self, backbone):
+    def __init__(self, backbone, reduce: str="sum"):
         super().__init__()
-
+        self.reduce = reduce
         self.avg_num_nodes = backbone.avg_num_nodes
         self.energy_block = FeedForwardNetwork(
             backbone.sphere_channels,
@@ -638,8 +638,15 @@ def forward(self, data: Batch, emb: dict[str, torch.Tensor | GraphData]):
             device=node_energy.device,
             dtype=node_energy.dtype,
         )
+
         energy.index_add_(0, data.batch, node_energy.view(-1))
-        return {"energy": energy / self.avg_num_nodes}
+        if self.reduce == "sum":
+            return {"energy": energy / self.avg_num_nodes}
+        elif self.reduce == "mean":
+            return {"energy": energy / data.natoms}
+        else:
+            raise ValueError(f"agg_fn can only be sum or mean, user provided: {self.agg_fn}")
+
 
 
 @registry.register_model("equiformer_v2_force_head")