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‎.ci/scripts/test_wheel_package_qnn.sh‎

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#!/bin/bash
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# === CI Wheel Build & Test Script ===
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# Exit immediately on error, print each command, and capture all output to build.log
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set -e
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set -x
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exec > >(tee -i build.log) 2>&1
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# Save repo root
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REPO_ROOT=$(pwd)
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# ----------------------------
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# Dynamically create script_qnn_wheel_test.py
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# ----------------------------
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cat > "/tmp/script_qnn_wheel_test.py" << 'EOF'
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# pyre-ignore-all-errors
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import argparse
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import torch
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from executorch.backends.qualcomm.quantizer.quantizer import QnnQuantizer
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from executorch.backends.qualcomm.utils.utils import (
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generate_htp_compiler_spec,
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generate_qnn_executorch_compiler_spec,
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get_soc_to_chipset_map,
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to_edge_transform_and_lower_to_qnn,
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)
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from executorch.exir.backend.utils import format_delegated_graph
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from executorch.examples.models.model_factory import EagerModelFactory
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from executorch.exir.capture._config import ExecutorchBackendConfig
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from executorch.extension.export_util.utils import save_pte_program
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from torchao.quantization.pt2e.quantize_pt2e import convert_pt2e, prepare_pt2e, prepare_qat_pt2e
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("-f", "--output_folder", type=str, default="", help="The folder to store the exported program")
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parser.add_argument("--soc", type=str, default="SM8650", help="Specify the SoC model.")
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parser.add_argument("-q", "--quantization", choices=["ptq", "qat"], help="Run post-traininig quantization.")
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args = parser.parse_args()
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class LinearModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.linear = torch.nn.Linear(3, 3)
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def forward(self, arg):
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return self.linear(arg)
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def get_example_inputs(self):
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return (torch.randn(3, 3),)
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model = LinearModule()
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example_inputs = model.get_example_inputs()
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if args.quantization:
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quantizer = QnnQuantizer()
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m = torch.export.export(model.eval(), example_inputs, strict=True).module()
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if args.quantization == "qat":
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m = prepare_qat_pt2e(m, quantizer)
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m(*example_inputs)
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elif args.quantization == "ptq":
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m = prepare_pt2e(m, quantizer)
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m(*example_inputs)
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m = convert_pt2e(m)
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else:
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m = model
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use_fp16 = True if args.quantization is None else False
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backend_options = generate_htp_compiler_spec(use_fp16=use_fp16)
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compile_spec = generate_qnn_executorch_compiler_spec(
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soc_model=get_soc_to_chipset_map()[args.soc],
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backend_options=backend_options,
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)
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delegated_program = to_edge_transform_and_lower_to_qnn(m, example_inputs, compile_spec)
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output_graph = format_delegated_graph(delegated_program.exported_program().graph_module)
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# Ensure QnnBackend is in the output graph
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assert "QnnBackend" in output_graph
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executorch_program = delegated_program.to_executorch(
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config=ExecutorchBackendConfig(extract_delegate_segments=False)
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)
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save_pte_program(executorch_program, "linear", args.output_folder)
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if __name__ == "__main__":
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main()
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EOF
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# ----------------------------
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# Wheel build and .so checks
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# ----------------------------
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echo "=== Building Wheel Package ==="
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source .ci/scripts/utils.sh
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install_executorch
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EXECUTORCH_BUILDING_WHEEL=1 python setup.py bdist_wheel
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unset EXECUTORCH_BUILDING_WHEEL
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WHEEL_FILE=$(ls dist/*.whl | head -n 1)
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echo "Found wheel: $WHEEL_FILE"
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PYTHON_VERSION=$1
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# ----------------------------
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# Check wheel does NOT contain qualcomm/sdk
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# ----------------------------
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echo "Checking wheel does not contain qualcomm/sdk..."
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SDK_FILES=$(unzip -l "$WHEEL_FILE" | awk '{print $4}' | grep "executorch/backends/qualcomm/sdk" || true)
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if [ -n "$SDK_FILES" ]; then
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echo "ERROR: Wheel package contains unexpected qualcomm/sdk files:"
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echo "$SDK_FILES"
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exit 1
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else
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echo "OK: No qualcomm/sdk files found in wheel"
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fi
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# ----------------------------
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# Check .so files in the wheel
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# ----------------------------
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echo "Checking for .so files inside the wheel..."
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WHEEL_SO_FILES=$(unzip -l "$WHEEL_FILE" | awk '{print $4}' | grep "executorch/backends/qualcomm/python" || true)
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if [ -z "$WHEEL_SO_FILES" ]; then
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echo "ERROR: No .so files found in wheel under executorch/backends/qualcomm/python"
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exit 1
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else
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echo "Wheel contains the following .so files:"
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echo "$WHEEL_SO_FILES"
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fi
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# ----------------------------
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# Helpers
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# ----------------------------
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get_site_packages_dir () {
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local PYBIN="$1"
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"$PYBIN" - <<'PY'
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import sysconfig, sys
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print(sysconfig.get_paths().get("purelib") or sysconfig.get_paths().get("platlib"))
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PY
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}
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run_core_tests () {
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local PYBIN="$1" # path to python
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local PIPBIN="$2" # path to pip
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local LABEL="$3" # label to print (conda/venv)
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echo "=== [$LABEL] Installing wheel & deps ==="
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"$PIPBIN" install --upgrade pip
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"$PIPBIN" install "$WHEEL_FILE"
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"$PIPBIN" install torch=="2.9.0.dev20250906" --index-url "https://download.pytorch.org/whl/nightly/cpu"
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"$PIPBIN" install --pre torchao --index-url "https://download.pytorch.org/whl/nightly/cpu"
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echo "=== [$LABEL] Import smoke tests ==="
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"$PYBIN" -c "import executorch; print('executorch imported successfully')"
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"$PYBIN" -c "import executorch.backends.qualcomm; print('executorch.backends.qualcomm imported successfully')"
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echo "=== [$LABEL] List installed executorch/backends/qualcomm/python ==="
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local SITE_DIR
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SITE_DIR="$(get_site_packages_dir "$PYBIN")"
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local SO_DIR="$SITE_DIR/executorch/backends/qualcomm/python"
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ls -l "$SO_DIR" || echo "Folder does not exist!"
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echo "=== [$LABEL] Run export script to generate linear.pte ==="
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(cd "$REPO_ROOT" && "$PYBIN" "/tmp/script_qnn_wheel_test.py")
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if [ -f "$REPO_ROOT/linear.pte" ]; then
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echo "[$LABEL] Model file linear.pte successfully created"
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else
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echo "ERROR: [$LABEL] Model file linear.pte was not created"
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exit 1
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fi
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}
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# ----------------------------
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# Conda environment setup & tests
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# ----------------------------
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echo "=== Testing in Conda env ==="
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TEMP_ENV_DIR=$(mktemp -d)
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echo "Using temporary directory for conda: $TEMP_ENV_DIR"
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conda create -y -p "$TEMP_ENV_DIR/env" python=$PYTHON_VERSION
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# derive python/pip paths inside the conda env
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CONDA_PY="$TEMP_ENV_DIR/env/bin/python"
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CONDA_PIP="$TEMP_ENV_DIR/env/bin/pip"
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# Some images require conda run; keep pip/python direct to simplify path math
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run_core_tests "$CONDA_PY" "$CONDA_PIP" "conda"
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# Cleanup conda env
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conda env remove -p "$TEMP_ENV_DIR/env" -y || true
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rm -rf "$TEMP_ENV_DIR"
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# ----------------------------
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# Python venv setup & tests
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# ----------------------------
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echo "=== Testing in Python venv ==="
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TEMP_VENV_DIR=$(mktemp -d)
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echo "Using temporary directory for venv: $TEMP_VENV_DIR"
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python3 -m venv "$TEMP_VENV_DIR/venv"
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VENV_PY="$TEMP_VENV_DIR/venv/bin/python"
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VENV_PIP="$TEMP_VENV_DIR/venv/bin/pip"
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# Ensure venv has wheel/build basics if needed
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"$VENV_PIP" install --upgrade pip
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run_core_tests "$VENV_PY" "$VENV_PIP" "venv"
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# Cleanup venv
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rm -rf "$TEMP_VENV_DIR"
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echo "=== All tests completed! ==="

‎.ci/scripts/wheel/pre_build_script.sh‎

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# This script is run before building ExecuTorch binaries
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if [[ "$(uname -m)" == "aarch64" ]]; then
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# On some Linux aarch64 systems, the "atomic" library is not found during linking.
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# To work around this, replace "atomic" with the literal ${ATOMIC_LIB} so the
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# build system uses the full path to the atomic library.
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file="extension/llm/tokenizers/third-party/sentencepiece/src/CMakeLists.txt"
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sed 's/list(APPEND SPM_LIBS "atomic")/list(APPEND SPM_LIBS ${ATOMIC_LIB})/' \
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"$file" > "${file}.tmp" && mv "${file}.tmp" "$file"
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grep -n 'list(APPEND SPM_LIBS ${ATOMIC_LIB})' "$file" && \
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echo "the file $file has been modified for atomic to use full path"
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fi
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# Clone nested submodules for tokenizers - this is a workaround for recursive
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# submodule clone failing due to path length limitations on Windows. Eventually,
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# we should update the core job in test-infra to enable long paths before

‎.ci/scripts/wheel/test_linux_aarch64.py‎

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#!/usr/bin/env python
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import test_base
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from examples.models import Backend, Model
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if __name__ == "__main__":
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# coremltools does not support linux aarch64 yet and install from the source fails on runtime
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# https://github.com/apple/coremltools/issues/1254
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# https://github.com/apple/coremltools/issues/2195
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test_base.run_tests(
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model_tests=[
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test_base.ModelTest(
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model=Model.Mv3,
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backend=Backend.XnnpackQuantizationDelegation,
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),
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]
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)

‎.github/workflows/_get-changed-files.yml‎

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name: Get Changed Files
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on:
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workflow_call:
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outputs:
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changed-files:
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description: "List of changed files (space-separated) or '*' if not in a PR"
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value: ${{ jobs.get-changed-files.outputs.changed-files }}
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jobs:
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get-changed-files:
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runs-on: ubuntu-latest
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outputs:
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changed-files: ${{ steps.get-files.outputs.changed-files }}
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steps:
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- name: Get changed files
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id: get-files
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env:
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GH_TOKEN: ${{ github.token }}
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run: |
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# Check if we're in a pull request context
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if [ "${{ github.event_name }}" = "pull_request" ] || [ "${{ github.event_name }}" = "pull_request_target" ]; then
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echo "Running in PR context"
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# Get the PR number from the github context
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PR_NUMBER="${{ github.event.number }}"
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# Use gh CLI to get changed files in the PR with explicit repo
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CHANGED_FILES=$(gh api repos/${{ github.repository }}/pulls/$PR_NUMBER/files --paginate --jq '.[] | select(.status != "removed") | .filename' | tr '\n' ' ' | sed 's/ $//')
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if [ -z "$CHANGED_FILES" ]; then
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echo "No changed files found, setting to '*'"
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CHANGED_FILES="*"
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fi
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echo "Changed files: $CHANGED_FILES"
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echo "changed-files=$CHANGED_FILES" >> "$GITHUB_OUTPUT"
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else
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echo "Not in PR context, setting changed files to '*'"
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echo "changed-files=*" >> "$GITHUB_OUTPUT"
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fi

‎.github/workflows/apple.yml‎

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- scripts/build_apple_llm_demo.sh
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- scripts/create_frameworks.sh
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- .ci/scripts/test_ios_ci.sh
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- examples/demo-apps/apple_ios/**
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- extension/apple/**
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- extension/benchmark/apple/**
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- extension/module/**

‎.github/workflows/build-wheels-aarch64-linux.yml‎

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# From https://github.com/pytorch/test-infra/wiki/Using-Nova-Reusable-Build-Workflows
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name: Build Aarch64 Linux Wheels
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on:
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pull_request:
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paths:
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- .ci/**/*
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- .github/workflows/build-wheels-aarch64-linux.yml
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- examples/**/*
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- pyproject.toml
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- setup.py
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tags:
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- ciflow/binaries/*
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push:
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branches:
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- nightly
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- release/*
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tags:
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# NOTE: Binary build pipelines should only get triggered on release candidate builds
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# Release candidate tags look like: v1.11.0-rc1
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- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
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- ciflow/binaries/*
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workflow_dispatch:
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jobs:
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generate-matrix:
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uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
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with:
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package-type: wheel
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os: linux-aarch64
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test-infra-repository: pytorch/test-infra
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test-infra-ref: main
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with-cuda: disabled
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with-rocm: disabled
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python-versions: '["3.10", "3.11", "3.12"]'
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build:
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needs: generate-matrix
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permissions:
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id-token: write
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contents: read
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strategy:
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fail-fast: false
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matrix:
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include:
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- repository: pytorch/executorch
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pre-script: .ci/scripts/wheel/pre_build_script.sh
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post-script: .ci/scripts/wheel/post_build_script.sh
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smoke-test-script: .ci/scripts/wheel/test_linux_aarch64.py
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package-name: executorch
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name: ${{ matrix.repository }}
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uses: pytorch/test-infra/.github/workflows/build_wheels_linux.yml@main
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with:
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repository: ${{ matrix.repository }}
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ref: ""
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test-infra-repository: pytorch/test-infra
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test-infra-ref: main
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build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
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submodules: recursive
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env-var-script: .ci/scripts/wheel/envvar_linux.sh
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pre-script: ${{ matrix.pre-script }}
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post-script: ${{ matrix.post-script }}
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package-name: ${{ matrix.package-name }}
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smoke-test-script: ${{ matrix.smoke-test-script }}
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trigger-event: ${{ github.event_name }}
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architecture: aarch64

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