Update base for Update on "Remove ExecuTorch copy of Vectorized"

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]

Author: Github Executorch

.buckconfig

@@ -33,3 +33,6 @@
       **/.git, \
       cmake-out, \
       pip-out
+
+[buck2]
+restarter=true

.ci/scripts/gather_benchmark_configs.py

@@ -238,7 +238,7 @@ def set_output(name: str, val: Any) -> None:
     try:
         with open(github_output, "a") as env:
             env.write(f"{name}={val}\n")
-    except PermissionError:
+    except (PermissionError, FileNotFoundError):
         # Fall back to printing in case of permission error in unit tests
         print(f"::set-output name={name}::{val}")
 

.ci/scripts/setup-linux.sh

@@ -23,4 +23,7 @@ fi
 # of nightly. This allows CI to test against latest commits from PyTorch
 install_executorch "use-pt-pinned-commit"
 build_executorch_runner "${BUILD_TOOL}"
-do_not_use_nightly_on_ci
+
+if [[ "${GITHUB_BASE_REF:-}" == *main* || "${GITHUB_BASE_REF:-}" == *gh* ]]; then
+  do_not_use_nightly_on_ci
+fi

.ci/scripts/setup-macos.sh

@@ -137,4 +137,7 @@ install_pytorch_and_domains
 # the pinned commit from PyTorch
 install_executorch "use-pt-pinned-commit"
 build_executorch_runner "${BUILD_TOOL}"
-do_not_use_nightly_on_ci
+
+if [[ "${GITHUB_BASE_REF:-}" == *main* || "${GITHUB_BASE_REF:-}" == *gh* ]]; then
+  do_not_use_nightly_on_ci
+fi

.ci/scripts/test_llava.sh

@@ -30,9 +30,11 @@ fi
 NPROC=8
 if hash nproc &> /dev/null; then NPROC=$(nproc); fi
 
+python_lib=$($PYTHON_EXECUTABLE -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')
+CMAKE_PREFIX_PATH="$(python3 -c 'import torch as _; print(_.__path__[0])')"
 EXECUTORCH_COMMON_CMAKE_ARGS="                      \
         -DCMAKE_INSTALL_PREFIX=${BUILD_DIR}         \
-        -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}            \
+        -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}      \
         -DEXECUTORCH_ENABLE_LOGGING=ON              \
         -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON      \
         -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
@@ -46,6 +48,7 @@ EXECUTORCH_COMMON_CMAKE_ARGS="                      \
 cmake_install_executorch_libraries() {
     cmake                               \
         ${EXECUTORCH_COMMON_CMAKE_ARGS} \
+        "-DCMAKE_PREFIX_PATH=${CMAKE_PREFIX_PATH}" \
         -B${BUILD_DIR} .
 
     cmake --build ${BUILD_DIR} -j${NPROC} --target install --config ${CMAKE_BUILD_TYPE}
@@ -56,6 +59,7 @@ cmake_install_executorch_libraries_for_android() {
         -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
         -DANDROID_ABI=arm64-v8a                                                 \
         ${EXECUTORCH_COMMON_CMAKE_ARGS}                                         \
+        "-DCMAKE_PREFIX_PATH=${CMAKE_PREFIX_PATH}" \
         -B${BUILD_DIR} .
 
     cmake --build ${BUILD_DIR} -j${NPROC} --target install --config ${CMAKE_BUILD_TYPE}
@@ -76,7 +80,7 @@ cmake_build_llava_runner() {
 
     cmake                                 \
         ${LLAVA_COMMON_CMAKE_ARGS}        \
-        -DCMAKE_PREFIX_PATH="$python_lib" \
+        -DCMAKE_PREFIX_PATH="$python_lib;${CMAKE_PREFIX_PATH}" \
         -B${BUILD_DIR}/${dir}             \
         ${dir}
 
@@ -92,7 +96,7 @@ cmake_build_llava_runner_for_android() {
         -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
         -DANDROID_ABI=arm64-v8a                                                 \
         ${LLAVA_COMMON_CMAKE_ARGS}                                              \
-        -DCMAKE_PREFIX_PATH="$python_lib"                                       \
+        -DCMAKE_PREFIX_PATH="$python_lib;${CMAKE_PREFIX_PATH}"                  \
         -DLLAVA_RUNNER_NO_TORCH_DUMMY_IMAGE=ON                                  \
         -B${BUILD_DIR}/${dir}                                                   \
         ${dir}

.gitmodules

@@ -64,3 +64,6 @@
 [submodule "third-party/ao"]
 	path = third-party/ao
 	url = https://github.com/pytorch/ao.git
+[submodule "backends/cadence/utils/FACTO"]
+	path = backends/cadence/utils/FACTO
+	url = https://github.com/pytorch-labs/FACTO.git

backends/arm/_passes/_debug_passes.py

@@ -0,0 +1,23 @@
+# Copyright 2025 Arm Limited and/or its affiliates.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import torch
+from executorch.devtools.visualization.visualization_utils import visualize_graph
+from executorch.exir import ExportedProgram
+from executorch.exir.pass_base import ExportPass, PassResult
+
+
+class VisualizePass(ExportPass):
+    """
+    This pass visualizes the graph at the point of insertion in the pass manager
+    """
+
+    def __init__(self, exported_program: ExportedProgram) -> None:
+        super().__init__()
+        self.exported_program = exported_program
+
+    def call(self, graph_module: torch.fx.GraphModule) -> PassResult:
+        visualize_graph(graph_module, self.exported_program)
+        return PassResult(graph_module, False)

backends/arm/_passes/annotate_decomposed_matmul.py

@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import itertools
 
 from typing import List

backends/arm/_passes/arm_pass_manager.py

@@ -123,6 +123,7 @@ def _tosa_080_MI_pipeline(self, exported_program: ExportedProgram) -> GraphModul
         self.add_pass(FuseQuantizedActivationPass())
         self.add_pass(RemoveGetItemPass())
         self.add_pass(ConvertSplitToSlicePass())
+        self.add_pass(FuseBatchnorm2DPass(exported_program))
         self.add_pass(ConvertMmToBmmPass())
         self.add_pass(DecomposeLinearPass())
         self.add_pass(DecomposeBatchNormPass())
@@ -132,7 +133,6 @@ def _tosa_080_MI_pipeline(self, exported_program: ExportedProgram) -> GraphModul
         self.add_pass(ConvertMeanDimToAveragePoolPass())
         self.add_pass(DecomposeDivPass())
         self.add_pass(DecomposeSoftmaxesPass())
-        self.add_pass(FuseBatchnorm2DPass(exported_program))
 
         self.add_pass(AnnotateDecomposedMatmulPass())
         self.add_pass(QuantizeOperatorArguments())

backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py

@@ -4,6 +4,8 @@
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
+# pyre-unsafe
+
 import copy
 
 from typing import cast, Dict, Set, Tuple