added prepare API

Makefile

@@ -14,5 +14,5 @@ profile:
 run:
 	./build/inference ${PWD}/export/model.so
 
-.PHONY: run nsys build clean
+.PHONY: run profile build clean
 

train.py

@@ -9,6 +9,7 @@
 from torch.fx.experimental.proxy_tensor import make_fx
 from tqdm.auto import tqdm
 from e3nn import o3
+from e3nn.util.jit import prepare
 
 # Borrowed from https://github.com/pytorch-labs/gpt-fast/blob/db7b273ab86b75358bd3b014f1f022a19aba4797/generate.py#L16-L18
 torch.set_float32_matmul_precision("high")
@@ -23,8 +24,13 @@
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-def train(steps=200):
+
+def build_model():
     model = Model()
+    return model
+
+def train(steps=200):
+    model = prepare(build_model)()
     model = model.to(device)
     opt = optim.Adam(model.parameters(), lr=0.01)
 
@@ -50,6 +56,7 @@ def update_fn(model, opt, graphs):
         accuracy = (preds == labels).float().mean()
 
         return loss.item(), accuracy.item()
+
     # Dataset
     graphs = get_tetris()
     graphs = graphs.to(device=device)