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.ci/docker/build.sh

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@@ -48,6 +48,7 @@ case "${IMAGE_NAME}" in
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executorch-ubuntu-22.04-mediatek-sdk)
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MEDIATEK_SDK=yes
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CLANG_VERSION=12
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ANDROID_NDK_VERSION=r27b
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;;
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executorch-ubuntu-22.04-clang12-android)
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LINTRUNNER=""
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08434df1f2f88c9770e59246caa2ff9c6f613270
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295f2ed4d103017f7e19a7b8263ece606cd629db

.ci/docker/common/install_android.sh

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@@ -70,6 +70,7 @@ install_sdk() {
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# These are the tools needed to build Android apps
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yes | /opt/cmdline-tools/bin/sdkmanager --sdk_root="${SDK_INSTALLATION_DIR}" --install "platforms;android-34"
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yes | /opt/cmdline-tools/bin/sdkmanager --sdk_root="${SDK_INSTALLATION_DIR}" --install "build-tools;33.0.1"
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yes | /opt/cmdline-tools/bin/sdkmanager --sdk_root="${SDK_INSTALLATION_DIR}" --install "build-tools;35.0.0"
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# And some more tools for future emulator tests
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yes | /opt/cmdline-tools/bin/sdkmanager --sdk_root="${SDK_INSTALLATION_DIR}" --install "platform-tools"
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yes | /opt/cmdline-tools/bin/sdkmanager --sdk_root="${SDK_INSTALLATION_DIR}" --install "tools"

.ci/docker/conda-env-ci.txt

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cmake=3.22.1
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cmake=3.26.4
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ninja=1.10.2
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libuv
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llvm-openmp

.ci/scripts/build_android_instrumentation.sh

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@@ -12,29 +12,10 @@ if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
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fi
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which "${PYTHON_EXECUTABLE}"
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15-
build_android_test() {
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pushd extension/android_test
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ANDROID_HOME="${ANDROID_SDK:-/opt/android/sdk}" ./gradlew testDebugUnitTest
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ANDROID_HOME="${ANDROID_SDK:-/opt/android/sdk}" ./gradlew build assembleAndroidTest
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popd
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}
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mkdir -p "${BUILD_AAR_DIR}"/executorch_android/src/androidTest/resources
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cp extension/module/test/resources/add.pte "${BUILD_AAR_DIR}"/executorch_android/src/androidTest/resources
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22-
collect_artifacts_to_be_uploaded() {
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ARTIFACTS_DIR_NAME="$1"
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# Collect Java library test
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JAVA_LIBRARY_TEST_DIR="${ARTIFACTS_DIR_NAME}/library_test_dir"
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mkdir -p "${JAVA_LIBRARY_TEST_DIR}"
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cp extension/android_test/build/outputs/apk/debug/*.apk "${JAVA_LIBRARY_TEST_DIR}"
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cp extension/android_test/build/outputs/apk/androidTest/debug/*.apk "${JAVA_LIBRARY_TEST_DIR}"
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}
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main() {
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build_android_test
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if [ -n "$ARTIFACTS_DIR_NAME" ]; then
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collect_artifacts_to_be_uploaded ${ARTIFACTS_DIR_NAME}
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fi
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}
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38-
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
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main "$@"
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fi
18+
pushd "${BUILD_AAR_DIR}"
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ANDROID_HOME="${ANDROID_SDK:-/opt/android/sdk}" ./gradlew :executorch_android:testDebugUnitTest
20+
ANDROID_HOME="${ANDROID_SDK:-/opt/android/sdk}" ./gradlew :executorch_android:assembleAndroidTest
21+
popd

.ci/scripts/gather_test_models.py

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@@ -33,7 +33,7 @@
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"dl3": "linux.4xlarge.memory",
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"emformer_join": "linux.4xlarge.memory",
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"emformer_predict": "linux.4xlarge.memory",
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"phi-4-mini": "linux.4xlarge.memory",
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"phi_4_mini": "linux.4xlarge.memory",
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}
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}
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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
6+
# LICENSE file in the root directory of this source tree.
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8+
set -exu
9+
10+
source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
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12+
export EXECUTORCH_ROOT="$(dirname "${BASH_SOURCE[0]}")/../.."
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if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
15+
PYTHON_EXECUTABLE=python3
16+
fi
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18+
which "${PYTHON_EXECUTABLE}"
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# Update tokenizers submodule
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pushd $EXECUTORCH_ROOT/extension/llm/tokenizers
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echo "Update tokenizers submodule"
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git submodule update --init
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popd
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26+
# Install ET with CMake
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cmake -DPYTHON_EXECUTABLE=python \
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-DCMAKE_INSTALL_PREFIX=cmake-out \
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-DEXECUTORCH_ENABLE_LOGGING=1 \
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-DCMAKE_BUILD_TYPE=Release \
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-DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
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-DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
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-DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
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-DEXECUTORCH_BUILD_XNNPACK=OFF \
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-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
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-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
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-DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
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-Bcmake-out .
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cmake --build cmake-out -j16 --target install --config Release
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# Install llama runner with torchao
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cmake -DPYTHON_EXECUTABLE=python \
43+
-DCMAKE_PREFIX_PATH=$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())') \
44+
-DCMAKE_BUILD_TYPE=Release \
45+
-DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
46+
-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
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-DEXECUTORCH_BUILD_XNNPACK=OFF \
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-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
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-DEXECUTORCH_BUILD_TORCHAO=ON \
50+
-Bcmake-out/examples/models/llama \
51+
examples/models/llama
52+
cmake --build cmake-out/examples/models/llama -j16 --config Release
53+
54+
# Download stories llama110m artifacts
55+
download_stories_model_artifacts
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57+
echo "Creating tokenizer.bin"
58+
$PYTHON_EXECUTABLE -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
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60+
# Export model
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LLAMA_CHECKPOINT=stories110M.pt
62+
LLAMA_PARAMS=params.json
63+
MODEL_OUT=model.pte
64+
TOKENIZER=tokenizer.bin
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66+
# Set low-bit quantization parameters
67+
QLINEAR_BITWIDTH=3 # Can be 1-8
68+
QLINEAR_GROUP_SIZE=128 # Must be multiple of 16
69+
QEMBEDDING_BITWIDTH=4 # Can be 1-8
70+
QEMBEDDING_GROUP_SIZE=32 # Must be multiple of 16
71+
72+
${PYTHON_EXECUTABLE} -m examples.models.llama.export_llama \
73+
--checkpoint "${LLAMA_CHECKPOINT:?}" \
74+
--params "${LLAMA_PARAMS:?}" \
75+
-kv \
76+
--use_sdpa_with_kv_cache \
77+
--output_name=${MODEL_OUT} \
78+
-qmode "torchao:8da${QLINEAR_BITWIDTH}w" \
79+
--group_size ${QLINEAR_GROUP_SIZE} \
80+
-E "torchao:${QEMBEDDING_BITWIDTH},${QEMBEDDING_GROUP_SIZE}" \
81+
-d fp32
82+
83+
# Test run
84+
./cmake-out/examples/models/llama/llama_main --model_path=$MODEL_OUT --tokenizer_path=$TOKENIZER --prompt="Once upon a time,"

.ci/scripts/test_model.sh

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@@ -100,11 +100,11 @@ test_model() {
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rm "./${MODEL_NAME}.pte"
101101
return # Skip running with portable executor runnner since portable doesn't support Qwen's biased linears.
102102
fi
103-
if [[ "${MODEL_NAME}" == "phi-4-mini" ]]; then
103+
if [[ "${MODEL_NAME}" == "phi_4_mini" ]]; then
104104
# Install requirements for export_llama
105105
bash examples/models/llama/install_requirements.sh
106106
# Test export_llama script: python3 -m examples.models.llama.export_llama.
107-
"${PYTHON_EXECUTABLE}" -m examples.models.llama.export_llama --model "${MODEL_NAME}" -c examples/models/llama/params/demo_rand_params.pth -p examples/models/phi-4-mini/config.json
107+
"${PYTHON_EXECUTABLE}" -m examples.models.llama.export_llama --model "${MODEL_NAME}" -c examples/models/llama/params/demo_rand_params.pth -p examples/models/phi_4_mini/config.json
108108
run_portable_executor_runner
109109
rm "./${MODEL_NAME}.pte"
110110
return
@@ -209,9 +209,14 @@ test_model_with_qnn() {
209209
EXPORTED_MODEL=$(find "./${EXPORT_SCRIPT}" -type f -name "${MODEL_NAME}*.pte" -print -quit)
210210
}
211211

212+
# Run CoreML tests.
213+
#
214+
# @param should_test If true, build and test the model using the coreml_executor_runner.
212215
test_model_with_coreml() {
213-
if [[ "${BUILD_TOOL}" == "buck2" ]]; then
214-
echo "coreml doesn't support buck2."
216+
local should_test="$1"
217+
218+
if [[ "${BUILD_TOOL}" != "cmake" ]]; then
219+
echo "coreml only supports cmake."
215220
exit 1
216221
fi
217222

@@ -229,6 +234,14 @@ test_model_with_coreml() {
229234
echo "No .pte file found"
230235
exit 1
231236
fi
237+
238+
# Run the model
239+
if [ "${should_test}" = true ]; then
240+
echo "Testing exported model with coreml_executor_runner..."
241+
local out_dir=$(mktemp -d)
242+
COREML_EXECUTOR_RUNNER_OUT_DIR="${out_dir}" examples/apple/coreml/scripts/build_executor_runner.sh
243+
"${out_dir}/coreml_executor_runner" --model_path "${EXPORTED_MODEL}"
244+
fi
232245
}
233246

234247
test_model_with_mps() {
@@ -247,7 +260,11 @@ elif [[ "${BACKEND}" == *"qnn"* ]]; then
247260
fi
248261
elif [[ "${BACKEND}" == *"coreml"* ]]; then
249262
echo "Testing ${MODEL_NAME} with coreml..."
250-
test_model_with_coreml
263+
should_test_coreml=false
264+
if [[ "${BACKEND}" == *"test"* ]]; then
265+
should_test_coreml=true
266+
fi
267+
test_model_with_coreml "${should_test_coreml}"
251268
if [[ $? -eq 0 ]]; then
252269
prepare_artifacts_upload
253270
fi

.ci/scripts/unittest-macos-buck2.sh

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