Remove duplicate executorch submodule, use symlink instead

.gitmodules

@@ -3,7 +3,3 @@
 	url = https://github.com/pytorch/executorch.git
 	branch = release/1.0
 
-[submodule "program-data-separation/cpp/executorch"]
-	path = program-data-separation/cpp/executorch
-	url = https://github.com/pytorch/executorch.git
-	branch = main

program-data-separation/cpp/executorch

@@ -0,0 +1 @@
+../../third-party/executorch

program-data-separation/cpp/linear_example/README.md

@@ -39,7 +39,7 @@ Note:
 See [program-data-separation](../../README.md) for instructions.
 
 ## Install runtime dependencies.
-The ExecuTorch repository is configured as a git submodule at `~/executorch-examples/program-data-separation/cpp/executorch`.  To initialize it:
+The ExecuTorch repository is configured as a git submodule at `~/executorch-examples/third-party/executorch`, with `program-data-separation/cpp/executorch` being a symlink to it. To initialize:
 ```bash
 cd ~/executorch-examples/
 git submodule sync
@@ -48,7 +48,7 @@ git submodule update --init --recursive
 Install dev requirements for ExecuTorch
 
 ```bash
-cd ~/executorch-examples/program-data-separation/cpp/executorch
+cd ~/executorch-examples/third-party/executorch
 pip install -r requirements-dev.txt
 ```
 

program-data-separation/cpp/lora_example/README.md

@@ -29,11 +29,16 @@ If you want to train your own LoRA adapters, [Unsloth](https://unsloth.ai/) prov
 
 ## Install ExecuTorch
 
-[Install from source](https://docs.pytorch.org/executorch/stable/using-executorch-building-from-source.html#install-executorch-pip-package-from-source):
+Install executorch>=1.1.0:
+```bash
+pip install executorch>=1.1.0
+```
+
+Alternatively, [install from source](https://docs.pytorch.org/executorch/stable/using-executorch-building-from-source.html#install-executorch-pip-package-from-source):
 
 ```bash
 # Navigate to the executorch submodule
-cd ~/executorch-examples/program-data-separation/cpp/executorch
+cd ~/executorch-examples/third-party/executorch
 
 # Update submodules
 git submodule sync
@@ -43,13 +48,6 @@ git submodule update --init --recursive
 ./install_executorch.sh --editable
 ```
 
-Alternatively, install from a recent nightly build:
-```bash
-pip install executorch==1.1.0.devYYYYMMDD --extra-index-url https://download.pytorch.org/whl/nightly/cpu
-```
-
-Use main or a recent nightly, as some features are not available in executorch==1.0.0.
-
 ## Export models
 
 ```bash
@@ -87,20 +85,19 @@ models/
 
 ## Install runtime dependencies
 
-The ExecuTorch repository is configured as a git submodule at `~/executorch-examples/program-data-separation/cpp/executorch`. To initialize it:
+The ExecuTorch repository is configured as a git submodule at `~/executorch-examples/third-party/executorch`, with `program-data-separation/cpp/executorch` being a symlink to it. To initialize:
 
 ```bash
 cd ~/executorch-examples/
 
 # Update submodules
-git submodule update --remote program-data-separation/cpp/executorch
 git submodule sync
 git submodule update --init --recursive
 ```
 
 Install dev requirements for ExecuTorch:
 ```bash
-cd ~/executorch-examples/program-data-separation/cpp/executorch
+cd ~/executorch-examples/third-party/executorch
 pip install -r requirements-dev.txt
 ```
 

program-data-separation/export_linear.py

@@ -22,7 +22,7 @@
     to_edge_transform_and_lower,
 )
 from executorch.exir.passes.external_constants_pass import (
-    delegate_external_constants_pass,
+    delegate_external_constants_pass_unlifted,
 )
 from executorch.exir.program import ExecutorchProgramManager
 from torch.export import export
@@ -78,7 +78,7 @@ def main() -> None:
         )
 
         partial_function = partial(
-            delegate_external_constants_pass,
+            delegate_external_constants_pass_unlifted,
             ep=exported_program,
             gen_tag_fn=lambda x: model_name,
         )