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Update base for Update on "[ExecuTorch][XNNPACK] validate quant params before lowering"
there have been some invalid scales/zp sneaking into our serialized quant tensors. This has been annoying because it seemingly passes the export stage. Adding some asserts to help identify the node, the buggy scale/zp value, and the index in to that tensor if applicable Differential Revision: [D70775365](https://our.internmc.facebook.com/intern/diff/D70775365/) [ghstack-poisoned]
2 parents 899ae4d + 445ff34 commit 4fcfe82

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.ci/scripts/build_llama_android.sh

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@@ -60,6 +60,5 @@ build_llama_runner() {
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cmake --build cmake-android-out/examples/models/llama -j4 --config Release
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}
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install_flatc_from_source
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install_executorch_and_backend_lib
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build_llama_runner

.ci/scripts/gather_benchmark_configs.py

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@@ -263,7 +263,8 @@ def is_valid_huggingface_model_id(model_name: str) -> bool:
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def get_benchmark_configs() -> Dict[str, Dict]: # noqa: C901
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"""
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Gather benchmark configurations for a given set of models on the target operating system and devices.
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CHANGE IF this function's return changed:
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extract_model_info() in executorch/.github/scripts/extract_benchmark_results.py IF YOU CHANGE THE RESULT OF THIS FUNCTION.
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Args:
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None
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.ci/scripts/test_model.sh

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@@ -209,9 +209,14 @@ test_model_with_qnn() {
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EXPORTED_MODEL=$(find "./${EXPORT_SCRIPT}" -type f -name "${MODEL_NAME}*.pte" -print -quit)
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}
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# Run CoreML tests.
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#
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# @param should_test If true, build and test the model using the coreml_executor_runner.
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test_model_with_coreml() {
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if [[ "${BUILD_TOOL}" == "buck2" ]]; then
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echo "coreml doesn't support buck2."
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local should_test="$1"
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if [[ "${BUILD_TOOL}" != "cmake" ]]; then
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echo "coreml only supports cmake."
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exit 1
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fi
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@@ -229,6 +234,14 @@ test_model_with_coreml() {
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echo "No .pte file found"
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exit 1
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fi
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# Run the model
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if [ "${should_test}" = true ]; then
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echo "Testing exported model with coreml_executor_runner..."
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local out_dir=$(mktemp -d)
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COREML_EXECUTOR_RUNNER_OUT_DIR="${out_dir}" examples/apple/coreml/scripts/build_executor_runner.sh
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"${out_dir}/coreml_executor_runner" --model_path "${EXPORTED_MODEL}"
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fi
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}
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test_model_with_mps() {
@@ -247,7 +260,11 @@ elif [[ "${BACKEND}" == *"qnn"* ]]; then
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fi
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elif [[ "${BACKEND}" == *"coreml"* ]]; then
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echo "Testing ${MODEL_NAME} with coreml..."
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test_model_with_coreml
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should_test_coreml=false
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if [[ "${BACKEND}" == *"test"* ]]; then
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should_test_coreml=true
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fi
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test_model_with_coreml "${should_test_coreml}"
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if [[ $? -eq 0 ]]; then
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prepare_artifacts_upload
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fi

.ci/scripts/unittest-buck2.sh

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@@ -8,9 +8,7 @@ set -eux
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# TODO: expand this to //...
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# TODO: can't query cadence & vulkan backends
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# TODO: can't query //kernels/prim_ops because of a cpp_unittest and
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# broken code in shim to read oss.folly_cxx_tests. Sending fix but it
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# needs to propagate and we need a submodule update.
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# TODO: can't query //kernels/prim_ops because of non-buckified stuff in OSS.
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buck2 query "//backends/apple/... + //backends/example/... + \
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//backends/mediatek/... + //backends/test/... + //backends/transforms/... + \
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//backends/xnnpack/... + //configurations/... + //kernels/aten/... + \
@@ -20,7 +18,9 @@ buck2 query "//backends/apple/... + //backends/example/... + \
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UNBUILDABLE_OPTIMIZED_OPS_REGEX="gelu|fft_r2c|log_softmax"
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BUILDABLE_OPTIMIZED_OPS=$(buck2 query //kernels/optimized/cpu/... | grep -E -v $UNBUILDABLE_OPTIMIZED_OPS_REGEX)
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BUILDABLE_KERNELS_PRIM_OPS_TARGETS=$(buck2 query //kernels/prim_ops/... | grep -v prim_ops_test_py)
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# TODO: build prim_ops_test_cpp again once supported_features works in
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# OSS buck.
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BUILDABLE_KERNELS_PRIM_OPS_TARGETS=$(buck2 query //kernels/prim_ops/... | grep -v prim_ops_test)
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# TODO: expand the covered scope of Buck targets.
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# //runtime/kernel/... is failing because //third-party:torchgen_files's shell script can't find python on PATH.
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# //runtime/test/... requires Python torch, which we don't have in our OSS buck setup.

.ci/scripts/utils.sh

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@@ -20,6 +20,14 @@ clean_executorch_install_folders() {
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./install_executorch.sh --clean
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}
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update_tokenizers_git_submodule() {
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echo "Updating tokenizers git submodule..."
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git submodule update --init
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pushd extension/llm/tokenizers
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git submodule update --init
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popd
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}
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install_executorch() {
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which pip
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# Install executorch, this assumes that Executorch is checked out in the
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sccache --show-stats || true
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}
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install_flatc_from_source() {
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# NB: This function could be used to install flatbuffer from source
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pushd third-party/flatbuffers || return
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cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Release
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if [ "$(uname)" == "Darwin" ]; then
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CMAKE_JOBS=$(( $(sysctl -n hw.ncpu) - 1 ))
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else
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CMAKE_JOBS=$(( $(nproc) - 1 ))
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fi
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cmake --build . -j "${CMAKE_JOBS}"
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# Copy the flatc binary to conda path
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EXEC_PATH=$(dirname "$(which python)")
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cp flatc "${EXEC_PATH}"
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popd || return
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}
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build_executorch_runner_buck2() {
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# Build executorch runtime with retry as this step is flaky on macos CI
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retry buck2 build //examples/portable/executor_runner:executor_runner
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mkdir "${CMAKE_OUTPUT_DIR}"
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pushd "${CMAKE_OUTPUT_DIR}" || return
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if [[ $1 == "Debug" ]]; then
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CXXFLAGS="-fsanitize=address,undefined"
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else
98+
CXXFLAGS=""
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fi
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# This command uses buck2 to gather source files and buck2 could crash flakily
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# on MacOS
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retry cmake -DPYTHON_EXECUTABLE="${PYTHON_EXECUTABLE}" -DCMAKE_BUILD_TYPE="${1:-Release}" ..
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CXXFLAGS="$CXXFLAGS" retry cmake -DPYTHON_EXECUTABLE="${PYTHON_EXECUTABLE}" -DCMAKE_BUILD_TYPE="${1:-Release}" ..
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popd || return
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if [ "$(uname)" == "Darwin" ]; then

.ci/scripts/wheel/__init__.py

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File renamed without changes.

.ci/scripts/wheel/envvar_linux.sh

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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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# This file is sourced into the environment before building a pip wheel. It
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# should typically only contain shell variable assignments. Be sure to export
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# any variables so that subprocesses will see them.
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source "${GITHUB_WORKSPACE}/${REPOSITORY}/.ci/scripts/wheel/envvar_base.sh"

build/packaging/env_var_script_macos.sh renamed to .ci/scripts/wheel/envvar_macos.sh

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@@ -8,16 +8,7 @@
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# should typically only contain shell variable assignments. Be sure to export
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# any variables so that subprocesses will see them.
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11-
# Enable pybindings so that users can execute ExecuTorch programs from python.
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export EXECUTORCH_BUILD_PYBIND=1
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# Ensure that CMAKE_ARGS is defined before referencing it. Defaults to empty
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# if not defined.
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export CMAKE_ARGS="${CMAKE_ARGS:-}"
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# Link the XNNPACK backend into the pybindings runtime so that users can execute
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# ExecuTorch programs that delegate to it.
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CMAKE_ARGS="${CMAKE_ARGS} -DEXECUTORCH_BUILD_XNNPACK=ON"
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source "${GITHUB_WORKSPACE}/${REPOSITORY}/.ci/scripts/wheel/envvar_base.sh"
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# When building for macOS, link additional backends into the pybindings runtime.
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CMAKE_ARGS="${CMAKE_ARGS} -DEXECUTORCH_BUILD_COREML=ON"

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