Skip full model shape inference if model > 2GB | feat(optimizer)

ghstack-source-id: 5179892
Pull Request resolved: #1340

Author: BowenBao

onnxscript/optimizer/__init__.py

@@ -56,9 +56,15 @@ def optimize(
         )
     for _ in range(num_iterations):
         if onnx_shape_inference:
-            model = onnx.shape_inference.infer_shapes(
-                model, check_type=True, strict_mode=True, data_prop=True
-            )
+            if model.ByteSize() < 1024 * 1024 * 1024 * 2:
+                model = onnx.shape_inference.infer_shapes(
+                    model, check_type=True, strict_mode=True, data_prop=True
+                )
+            else:
+                logger.warning(
+                    "The model size is too large for full model shape inference. "
+                    "Skipping this step."
+                )
 
         inline_simple_functions(model)
         modified = fold_constants(