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Guang Yang
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Add the example non-genai qnn model to ci and benchinfra
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‎.ci/scripts/build-qnn-sdk.sh

Lines changed: 27 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -5,7 +5,7 @@
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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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8-
set -ex
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set -eux
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build_qnn_backend() {
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echo "Start building qnn backend."
@@ -16,4 +16,30 @@ build_qnn_backend() {
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bash backends/qualcomm/scripts/build.sh --skip_aarch64 --job_number 2 --release
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}
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set_up_aot() {
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cd $EXECUTORCH_ROOT
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mkdir cmake-out
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pushd cmake-out
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cmake .. \
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-DCMAKE_INSTALL_PREFIX=$PWD \
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-DEXECUTORCH_BUILD_QNN=ON \
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-DQNN_SDK_ROOT=${QNN_SDK_ROOT} \
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-DEXECUTORCH_BUILD_SDK=ON \
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-DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
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-DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
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-DPYTHON_EXECUTABLE=python3 \
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-DEXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT=OFF
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cmake --build $PWD --target "PyQnnManagerAdaptor" "PyQnnWrapperAdaptor" -j$(nproc)
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# install Python APIs to correct import path
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# The filename might vary depending on your Python and host version.
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cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT/backends/qualcomm/python
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cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so $EXECUTORCH_ROOT/backends/qualcomm/python
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popd
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# Workaround for fbs files in exir/_serialize
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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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}
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build_qnn_backend
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set_up_aot

‎.ci/scripts/test_qnn_model.sh

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,28 @@
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#!/bin/bash
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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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set -exu
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# shellcheck source=/dev/null
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source "$(dirname "${BASH_SOURCE[0]}")/utils.sh"
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MODEL_NAME=$1
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if [[ -z "${MODEL_NAME:-}" ]]; then
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echo "Missing model name, exiting..."
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exit 1
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fi
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which "${PYTHON_EXECUTABLE}"
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CMAKE_OUTPUT_DIR=cmake-out
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test_qnn_model() {
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if [[ "${MODEL_NAME}" == "dl3" ]]; then
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"${PYTHON_EXECUTABLE}" -m examples.qualcomm.scripts.deeplab_v3 -b cmake-out -m SM8550 --compile_only --download
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fi
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}
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test_qnn_model

‎.github/workflows/android-perf.yml

Lines changed: 57 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -135,24 +135,75 @@ jobs:
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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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docker-image: executorch-ubuntu-22.04-clang12-android
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submodules: 'true'
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timeout: 60
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upload-artifact: android-models
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script: |
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# The generic Linux job chooses to use base env, not the one setup by the image
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echo "::group::Setting up dev environment"
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CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
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conda activate "${CONDA_ENV}"
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if [[ ${{ matrix.delegate }} == "qnn" ]]; then
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
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fi
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
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echo "Exporting model: ${{ matrix.model }}"
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export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded/${{ matrix.model }}_${{ matrix.delegate }}
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ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded/${{ matrix.model }}_${{ matrix.delegate }}
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echo "::endgroup::"
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echo "::group::Exporting ${{ matrix.delegate }} model: ${{ matrix.model }}"
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BUILD_MODE="cmake"
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DTYPE="fp32"
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if [[ ${{ matrix.delegate }} == "qnn" ]]; then
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DELEGATE_CONFIG="qnn"
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elif [[ ${{ matrix.delegate }} == "xnnpack" ]]; then
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DELEGATE_CONFIG="xnnpack+custom+qe"
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fi
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if [[ ${{ matrix.model }} == "llama*" ]]; then
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# Install requirements for export_llama
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PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
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# Test llama2
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PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh "${{ matrix.model }}.pt" "${BUILD_MODE}" "${DTYPE}" "${DELEGATE_CONFIG}" "${ARTIFACTS_DIR_NAME}"
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else
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PYTHON_EXECUTABLE=python bash .ci/scripts/test_qnn_model.sh "${{ matrix.model }}"
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fi
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echo "::endgroup::"
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test-llama-runner-qnn-linux:
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name: test-llama-runner-qnn-linux
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uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
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strategy:
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matrix:
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dtype: [fp32]
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build-tool: [cmake]
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mode: [qnn]
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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-android
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submodules: 'true'
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ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
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timeout: 900
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script: |
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# The generic Linux job chooses to use base env, not the one setup by the image
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CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
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conda activate "${CONDA_ENV}"
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DTYPE=${{ matrix.dtype }}
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BUILD_TOOL=${{ matrix.build-tool }}
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MODE=${{ matrix.mode }}
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
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# TODO(T197546696): Note that the following scripts/steps only work for llama. It's expected to fail for other models+delegates.
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# Setup executorch
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh buck2
152203
# Install requirements for export_llama
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PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
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# Test llama2
155-
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh "${{ matrix.model }}.pt" "cmake" "fp32" "xnnpack+custom+qe" "${ARTIFACTS_DIR_NAME}"\
206+
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh stories110M.pt "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
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# Upload models to S3. The artifacts are needed not only by the device farm but also TorchChat
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upload-models:

‎.github/workflows/trunk.yml

Lines changed: 23 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -270,3 +270,26 @@ jobs:
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PYTHON_EXECUTABLE=python ${CONDA_RUN} bash examples/models/llama2/install_requirements.sh
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# Test llama2
272272
PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llama.sh stories110M.pt "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
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274+
test-qnn-model:
275+
name: test-qnn-model
276+
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
277+
strategy:
278+
matrix:
279+
dtype: [fp32]
280+
model: [dl3]
281+
fail-fast: false
282+
with:
283+
runner: linux.2xlarge
284+
docker-image: executorch-ubuntu-22.04-clang12-android
285+
submodules: 'true'
286+
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
287+
timeout: 900
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script: |
289+
# The generic Linux job chooses to use base env, not the one setup by the image
290+
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
291+
conda activate "${CONDA_ENV}"
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh cmake
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/test_qnn_model.sh ${{ matrix.model }}

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