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Merge branch 'main' into dev_fix_suite_op
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.ci/scripts/setup-windows-msvc.ps1

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conda create --yes --quiet -n et python=3.12
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conda activate et
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# Install cmake
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conda install -y cmake
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# Activate the VS environment - this is required for MSVC to work
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# There are a bunch of environment variables that it requires.
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# See https://learn.microsoft.com/en-us/cpp/build/building-on-the-command-line.
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& "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\Common7\Tools\Launch-VsDevShell.ps1" -Arch amd64
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# Install CI requirements
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pip install -r .ci/docker/requirements-ci.txt
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# Create build directory
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$buildDir = "cmake-out-msvc"
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if (Test-Path -Path $buildDir) {
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Remove-Item -Path $buildDir -Recurse -Force
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}
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New-Item -Path $buildDir -ItemType Directory
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# Configure CMake with MSVC (not ClangCL) and disable custom/quantized ops
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cmake -S . -B $buildDir `
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-DCMAKE_BUILD_TYPE=Release `
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-DEXECUTORCH_BUILD_EXECUTOR_RUNNER=ON `
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-DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON `
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-DEXECUTORCH_BUILD_EXTENSION_MODULE=ON `
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-DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON `
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-DEXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR=ON `
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-DEXECUTORCH_BUILD_EXTENSION_NAMED_DATA_MAP=ON `
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-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON `
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-DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF `
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-DEXECUTORCH_BUILD_KERNELS_CUSTOM_AOT=OFF `
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-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=OFF `
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-DEXECUTORCH_BUILD_XNNPACK=ON `
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-DEXECUTORCH_BUILD_EXTENSION_LLM=ON `
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-DEXECUTORCH_BUILD_EXTENSION_LLM_RUNNER=ON
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if ($LASTEXITCODE -ne 0) {
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Write-Host "CMake configuration failed. Exit code: $LASTEXITCODE."
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exit $LASTEXITCODE
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}
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# Build with MSVC
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cmake --build $buildDir --config Release -j16
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if ($LASTEXITCODE -ne 0) {
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Write-Host "Build failed. Exit code: $LASTEXITCODE."
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exit $LASTEXITCODE
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}
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Write-Host "MSVC build completed successfully!"

.ci/scripts/test_qnn_static_llama.sh

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.ci/scripts/test_qnn_static_llm.sh

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#!/bin/bash
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# Copyright (c) Qualcomm Innovation Center, Inc.
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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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set -euxo pipefail
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source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
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TASK_NAME=$1
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if [[ -z "${TASK_NAME:-}" ]]; then
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echo "Missing task name, exiting..."
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exit 1
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fi
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# Download QNN_SDK. If already downloaded, export environment path
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source "$(dirname "${BASH_SOURCE[0]}")/../../backends/qualcomm/scripts/install_qnn_sdk.sh"
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install_qnn
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export EXECUTORCH_ROOT="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/.." && pwd)"
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export LD_LIBRARY_PATH="${QNN_SDK_ROOT}/lib/x86_64-linux-clang"
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export PYTHONPATH=".."
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cp schema/program.fbs exir/_serialize/program.fbs
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cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
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cp -f build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
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cp -f build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
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if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
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PYTHON_EXECUTABLE=python3
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fi
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which "${PYTHON_EXECUTABLE}"
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# Although static llama CI does not require graphviz, it is required by test_qnn_delegate.py
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pip install graphviz
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set +e
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echo "Executing task: $TASK_NAME"
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if [[ "${TASK_NAME}" == "stories_110m" ]]; then
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# Download stories llama110m artifacts
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download_stories_model_artifacts
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echo "Creating tokenizer.bin"
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$PYTHON_EXECUTABLE -m pytorch_tokenizers.tools.llama2c.convert -t tokenizer.model -o tokenizer.bin
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# Compile only as weight sharing is not applicable on x86.
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$PYTHON_EXECUTABLE backends/qualcomm/tests/test_qnn_delegate.py -k TestExampleLLMScript.test_llama_stories_110m --model SM8650 --build_folder build-android/ --executorch_root . --artifact_dir ./stories_110m_pte_size --llama_artifacts . --compile_only
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exit_code1=$?
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# Checks accuracy with weight sharing disabled since x86 does not support weight sharing.
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$PYTHON_EXECUTABLE backends/qualcomm/tests/test_qnn_delegate.py -k TestExampleLLMScript.test_llama_stories_110m --model SM8650 --build_folder build-x86/ --executorch_root . --artifact_dir ./stories_110m_accuracy --llama_artifacts . --enable_x86_64
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exit_code2=$?
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# Check the exit codes and print messages
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if [ $exit_code1 -ne 0 ]; then
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echo "Static Llama compile only with weight sharing test failed. $exit_code1."
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fi
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if [ $exit_code2 -ne 0 ]; then
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echo "Static Llama accuracy test failed. $exit_code2."
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fi
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if [ $exit_code1 -ne 0 ] || [ $exit_code2 -ne 0 ]; then
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exit 1
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else
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exit 0
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fi
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elif [[ "${TASK_NAME}" == "stories_260k_bc" ]]; then
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# Check BC
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bash backends/qualcomm/bc/test_qnn_static_llama_bc.sh
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exit_code1=$?
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if [ $exit_code1 -ne 0 ]; then
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exit 1
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else
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exit 0
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fi
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elif [[ "${TASK_NAME}" == "smollm2_135m" ]]; then
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$PYTHON_EXECUTABLE backends/qualcomm/tests/test_qnn_delegate.py -k TestExampleLLMScript.test_static_smollm2 --model SM8650 --build_folder build-x86/ --executorch_root . --artifact_dir ./static_smollm2 --enable_x86_64
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exit_code1=$?
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if [ $exit_code1 -ne 0 ]; then
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exit 1
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else
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exit 0
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fi
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else
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echo "Unsupported task: $TASK_NAME"
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exit 1
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fi

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