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Merge branch 'main' into refactor-bitwise-logical-tests
2 parents 02037b7 + 90f0843 commit 19a78bf

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-55
lines changed

.ci/scripts/unittest-macos.sh

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@@ -19,14 +19,14 @@ export TMP_DIR=$(mktemp -d)
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export PATH="${TMP_DIR}:$PATH"
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trap 'rm -rfv ${TMP_DIR}' EXIT
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if [[ "$BUILD_TOOL" == "cmake" ]]; then
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# Setup MacOS dependencies as there is no Docker support on MacOS atm
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PYTHON_EXECUTABLE=python \
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EXECUTORCH_BUILD_PYBIND=ON \
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CMAKE_ARGS="-DEXECUTORCH_BUILD_COREML=ON -DEXECUTORCH_BUILD_MPS=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON" \
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${CONDA_RUN} --no-capture-output \
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.ci/scripts/setup-macos.sh "$@"
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# Setup MacOS dependencies as there is no Docker support on MacOS atm
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PYTHON_EXECUTABLE=python \
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EXECUTORCH_BUILD_PYBIND=ON \
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CMAKE_ARGS="-DEXECUTORCH_BUILD_COREML=ON -DEXECUTORCH_BUILD_MPS=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON" \
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${CONDA_RUN} --no-capture-output \
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.ci/scripts/setup-macos.sh "$@"
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if [[ "$BUILD_TOOL" == "cmake" ]]; then
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# Install llama3_2_vision dependencies.
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PYTHON_EXECUTABLE=python \
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${CONDA_RUN} --no-capture-output \

.github/workflows/_android.yml

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@@ -35,7 +35,7 @@ jobs:
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# Build LLM Demo for Android
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export BUILD_AAR_DIR=aar-out
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mkdir -p $BUILD_AAR_DIR
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bash build/build_android_library.sh ${ARTIFACTS_DIR_NAME}
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bash scripts/build_android_library.sh ${ARTIFACTS_DIR_NAME}
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bash .ci/scripts/build_android_instrumentation.sh ${ARTIFACTS_DIR_NAME}
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mkdir -p examples/demo-apps/android/LlamaDemo/app/libs
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with:
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api-level: ${{ env.API_LEVEL }}
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arch: x86_64
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script: ./build/run_android_emulator.sh
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script: ./scripts/run_android_emulator.sh
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# NB: This is to boot the emulator faster following the instructions on
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# https://github.com/ReactiveCircus/android-emulator-runner. The max number
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# of cores we can set is 6, any higher number will be reduced to 6.

.github/workflows/android-perf.yml

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@@ -363,7 +363,7 @@ jobs:
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PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
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mkdir -p aar-out
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PYTHON_EXECUTABLE=python ANDROID_ABIS="arm64-v8a" BUILD_AAR_DIR=aar-out EXECUTORCH_BUILD_QNN=ON QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 bash build/build_android_library.sh
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PYTHON_EXECUTABLE=python ANDROID_ABIS="arm64-v8a" BUILD_AAR_DIR=aar-out EXECUTORCH_BUILD_QNN=ON QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 bash scripts/build_android_library.sh
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mkdir -p extension/benchmark/android/benchmark/app/libs
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cp aar-out/executorch.aar extension/benchmark/android/benchmark/app/libs
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pushd extension/benchmark/android/benchmark

.github/workflows/android-release-artifacts.yml

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@@ -55,7 +55,7 @@ jobs:
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# Build AAR Package
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mkdir aar-out
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export BUILD_AAR_DIR=aar-out
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bash build/build_android_library.sh
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bash scripts/build_android_library.sh
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mkdir -p "${ARTIFACTS_DIR_NAME}"
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cp aar-out/executorch.aar "${ARTIFACTS_DIR_NAME}/executorch.aar"
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.github/workflows/apple-perf.yml

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@@ -387,7 +387,7 @@ jobs:
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echo "::group::Build ExecuTorch iOS frameworks"
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PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
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build/build_apple_frameworks.sh --Release --Debug --coreml --custom --mps --optimized --portable --quantized --xnnpack
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scripts/build_apple_frameworks.sh --Release --Debug --coreml --custom --mps --optimized --portable --quantized --xnnpack
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echo "::endgroup::"
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# NB: Although exported models can be copied to this directory and bundled together with the
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# create the directory here to pass the build
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mkdir -p extension/benchmark/apple/Benchmark/Models
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${CONDA_RUN} --no-capture-output \
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build/build_apple_llm_demo.sh ${ARTIFACTS_DIR_NAME}
399+
scripts/build_apple_llm_demo.sh ${ARTIFACTS_DIR_NAME}
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upload-benchmark-app:
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needs: build-benchmark-app

.github/workflows/apple.yml

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@@ -11,9 +11,9 @@ on:
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- .github/workflows/apple.yml
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- install_executorch.sh
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- backends/apple/**
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- build/build_apple_frameworks.sh
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- build/build_apple_llm_demo.sh
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- build/create_frameworks.sh
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- scripts/build_apple_frameworks.sh
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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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# Build iOS Frameworks
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PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
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build/build_apple_frameworks.sh --Release --Debug --coreml --custom --mps --optimized --portable --quantized --xnnpack
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scripts/build_apple_frameworks.sh --Release --Debug --coreml --custom --mps --optimized --portable --quantized --xnnpack
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# Bundle iOS Frameworks
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for FRAMEWORK in "${FRAMEWORKS[@]}"; do (
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echo "::group::Build ExecuTorch iOS frameworks"
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PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \
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build/build_apple_frameworks.sh --Release --Debug --coreml --custom --mps --optimized --portable --quantized --xnnpack
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scripts/build_apple_frameworks.sh --Release --Debug --coreml --custom --mps --optimized --portable --quantized --xnnpack
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echo "::endgroup::"
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echo "::group::Build ExecuTorch benchmark app"
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mkdir -p extension/benchmark/apple/Benchmark/Models
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${CONDA_RUN} --no-capture-output \
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build/build_apple_llm_demo.sh "${ARTIFACTS_DIR_NAME}"
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scripts/build_apple_llm_demo.sh "${ARTIFACTS_DIR_NAME}"
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echo "::endgroup::"

.github/workflows/pull.yml

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@@ -290,6 +290,36 @@ jobs:
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# run e2e (export, tokenizer and runner)
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PYTHON_EXECUTABLE=python bash .ci/scripts/test_llava.sh
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test-moshi-linux:
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name: test-moshi-linux
295+
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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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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with:
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runner: linux.2xlarge
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docker-image: executorch-ubuntu-22.04-clang12
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submodules: 'true'
305+
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
306+
timeout: 90
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script: |
308+
# The generic Linux job chooses to use base env, not the one setup by the image
309+
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
310+
conda activate "${CONDA_ENV}"
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312+
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "cmake"
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314+
# install Mimi requirements
315+
bash examples/models/moshi/mimi/install_requirements.sh
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# reinstall executorch
318+
bash ./install_executorch.sh
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# run python unittest
321+
python -m unittest examples.models.moshi.mimi.test_mimi
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test-quantized-aot-lib-linux:
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name: test-quantized-aot-lib-linux
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main

.gitignore

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arm_test/
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buck-out/
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buck2-bin/
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build/
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cmake-android-out/
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cmake-ios-out/
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cmake-out*

README.md

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@@ -67,7 +67,6 @@ We welcome contributions. To get started review the [guidelines](CONTRIBUTING.md
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```
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executorch
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├── backends # Backend delegate implementations.
70-
├── build # Utilities for managing the build system.
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├── codegen # Tooling to autogenerate bindings between kernels and the runtime.
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├── configurations
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├── docs # Static docs tooling.
@@ -81,8 +80,7 @@ executorch
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| ├── operator # Operator node manipulation utilities.
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| ├── passes # Built-in compiler passes.
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| ├── program # Export artifacts.
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| ├── serde # Graph module
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serialization/deserialization.
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| ├── serde # Graph module serialization/deserialization.
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| ├── verification # IR verification.
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├── extension # Extensions built on top of the runtime.
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| ├── android # ExecuTorch wrappers for Android apps.
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| ├── parallel # C++ threadpool integration.
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| ├── pybindings # Python API for executorch runtime.
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| ├── pytree # C++ and Python flattening and unflattening lib for pytrees.
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| ├── runner_util # Helpers for writing C++ PTE-execution
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tools.
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| ├── runner_util # Helpers for writing C++ PTE-execution tools.
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| ├── testing_util # Helpers for writing C++ tests.
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| ├── training # Experimental libraries for on-device training
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├── kernels # 1st party kernel implementations.
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| ├── executor # Model loading, initialization, and execution.
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| ├── kernel # Kernel registration and management.
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| ├── platform # Layer between architecture specific code and portable C++.
117-
├── schema # ExecuTorch PTE file format flatbuffer
118-
schemas.
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├── scripts # Utility scripts for size management, dependency management, etc.
114+
├── schema # ExecuTorch PTE file format flatbuffer schemas.
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├── scripts # Utility scripts for building libs, size management, dependency management, etc.
116+
├── tools # Development tool management.
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├── devtools # Model profiling, debugging, and introspection.
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├── shim # Compatibility layer between OSS and Internal builds
122119
├── test # Broad scoped end-to-end tests.

backends/apple/coreml/setup.md

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@@ -50,7 +50,7 @@ xcode-select --install
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```bash
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cd executorch
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./build/build_apple_frameworks.sh --coreml
53+
./scripts/build_apple_frameworks.sh --coreml
5454
```
5555
5. Open the project in Xcode, and drag `executorch.xcframework` and `coreml_backend.xcframework` frameworks generated from Step 2 to Frameworks.
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