Move undelegated constants

examples/models/llama/export_llama_lib.py

@@ -1080,6 +1080,7 @@ def _export_llama(llm_config: LlmConfig) -> LLMEdgeManager:  # noqa: C901
 
             from executorch.exir.passes.external_constants_pass import (
                 delegate_external_constants_pass_unlifted,
+                external_constants_pass,
             )
 
             assert (
@@ -1090,6 +1091,11 @@ def _export_llama(llm_config: LlmConfig) -> LLMEdgeManager:  # noqa: C901
                 gen_tag_fn=gen_tag_fn,
             )
 
+            # Also add a pass for 'to_executorch' to tag weights that aren't delegated.
+            additional_passes.append(
+                partial(external_constants_pass, gen_tag_fn=gen_tag_fn)
+            )
+
         builder = _to_edge_and_lower_llama_xnnpack(
             builder_exported,
             modelname,

exir/passes/external_constants_pass.py

@@ -27,6 +27,7 @@ def is_param_node(exp_prog: ExportedProgram, node: torch.fx.Node) -> bool:
 
 def external_constants_pass(
     gm: GraphModule,
+    gen_tag_fn: Optional[Callable[[torch.fx.Node], Optional[str]]] = None,
 ) -> PassResult:
     """
     Move all non-lifted constants to external file.
@@ -42,7 +43,10 @@ def external_constants_pass(
             if (node.op == "placeholder") and ("_lifted_tensor" not in node.name):
                 spec = node.meta.get("spec")
                 if isinstance(spec, TensorSpec) and spec.const:
-                    node.meta["constant_tag"] = "_default_external_constant"
+                    if gen_tag_fn is not None:
+                        node.meta["constant_tag"] = gen_tag_fn(node)
+                    else:
+                        node.meta["constant_tag"] = "_default_external_constant"
                     mutated = True
     return PassResult(gm, mutated)
 

exir/program/_program.py

@@ -808,11 +808,13 @@ def edge_to_executorch_passes(
     Get the pre memory planning passes based on the method name, if the pass is not in the dict, use the default pass.
     """
     passes: List[PassType] = [
-        *config.passes,
         SpecPropPass(),
         # ExecuTorch backend ops are unable to handle unbacked symints. So after
         # this pass, passes cannot be Interpreter-based, because it will fail if
         # there exists an unbacked symint operation.
+        *config.passes,
+        # config.passes may contain external_constants_pass. This pass has to
+        # run after SpecPropPass, which populates tensor names.
         EdgeToBackendOpsPass(),
         RemoveGraphAssertsPass(),
     ] + pre_memory_planning_passes(config, name)