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Change memory planning API to accept full algorithm as argument as opposed to string name #24299

Change memory planning API to accept full algorithm as argument as opposed to string name

Change memory planning API to accept full algorithm as argument as opposed to string name #24299

Workflow file for this run

name: pull
on:
pull_request:
push:
branches:
- main
- release/*
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
cancel-in-progress: true
jobs:
gather-models:
runs-on: ubuntu-22.04
outputs:
models: ${{ steps.gather-models.outputs.models }}
steps:
- uses: actions/checkout@v3
with:
submodules: 'false'
- uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Extract the list of models to test
id: gather-models
run: |
set -eux
PYTHONPATH="${PWD}" python .ci/scripts/gather_test_models.py --event "${GITHUB_EVENT_NAME}"
test-setup-linux-gcc:
name: test-setup-linux-gcc
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: cmake
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-gcc9
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
BUILD_TOOL=${{ matrix.build-tool }}
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
# Build and test ExecuTorch with the add model on portable backend.
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "add" "${BUILD_TOOL}" "portable"
test-models-linux:
name: test-models-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
needs: gather-models
strategy:
matrix: ${{ fromJSON(needs.gather-models.outputs.models) }}
fail-fast: false
with:
runner: ${{ matrix.runner }}
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: ${{ matrix.timeout }}
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
MODEL_NAME=${{ matrix.model }}
BUILD_TOOL=${{ matrix.build-tool }}
BACKEND=${{ matrix.backend }}
DEMO_BACKEND_DELEGATION=${{ matrix.demo_backend_delegation }}
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}" "${DEMO_BACKEND_DELEGATION}"
test-llama-runner-linux:
name: test-llama-runner-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
dtype: [fp32]
build-tool: [buck2, cmake]
mode: [portable, xnnpack+custom, xnnpack+custom+qe]
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 900
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
DTYPE=${{ matrix.dtype }}
BUILD_TOOL=${{ matrix.build-tool }}
MODE=${{ matrix.mode }}
# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh buck2
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh stories110M "${BUILD_TOOL}" "${DTYPE}" "${MODE}"
test-llama-runner-linux-android:
name: test-llama-runner-linux-android
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: cmake
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12-android
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
BUILD_TOOL=${{ matrix.build-tool }}
PYTHON_EXECUTABLE=python \
bash .ci/scripts/build_llama_android.sh "${BUILD_TOOL}"
test-custom-ops-linux:
name: test-custom-ops-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: buck2
- build-tool: cmake
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
BUILD_TOOL=${{ matrix.build-tool }}
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
# Test custom ops
PYTHON_EXECUTABLE=python bash examples/portable/custom_ops/test_custom_ops.sh "${BUILD_TOOL}"
test-selective-build-linux:
name: test-selective-build-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: buck2
- build-tool: cmake
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
BUILD_TOOL=${{ matrix.build-tool }}
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
# Test selective build
PYTHON_EXECUTABLE=python bash examples/selective_build/test_selective_build.sh "${BUILD_TOOL}"
test-llava-runner-linux:
name: test-llava-runner-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
fail-fast: false
with:
runner: linux.24xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
# install pybind
bash install_requirements.sh --pybind xnnpack
# install Llava requirements
bash examples/models/llama2/install_requirements.sh
bash examples/models/llava/install_requirements.sh
# run python unittest
python -m unittest examples.models.llava.test.test_llava
# run e2e (export, tokenizer and runner)
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llava.sh
test-quantized-aot-lib-linux:
name: test-quantized-aot-lib-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: cmake
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
BUILD_TOOL=${{ matrix.build-tool }}
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
PYTHON_EXECUTABLE=python bash examples/xnnpack/quantization/test_quantize.sh "${BUILD_TOOL}" mv2
test-pybind-build-linux:
name: test-pybind-build-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: cmake
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
# build module for executorch.extension.pybindings.portable_lib
BUILD_TOOL=${{ matrix.build-tool }}
PYTHON_EXECUTABLE=python \
EXECUTORCH_BUILD_XNNPACK=ON \
EXECUTORCH_BUILD_PYBIND=ON \
bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
# see if we can import the module successfully
python -c "from executorch.extension.pybindings import portable_lib; print('success!')"
test-binary-size-linux-gcc:
name: test-binary-size-linux-gcc
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-gcc9
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="51504"
if [[ "$size" -le "$threshold" ]]; then
echo "Success $size <= $threshold"
else
echo "Fail $size > $threshold"
exit 1
fi
test-binary-size-linux:
name: test-binary-size-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
# build module for executorch.extension.pybindings.portable_lib
bash test/build_size_test.sh
strip cmake-out/test/size_test
output=$(ls -la cmake-out/test/size_test)
arr=($output)
size=${arr[4]}
# threshold=48120 on devserver with gcc11.4
# todo(lfq): update once binary size is below 50kb.
threshold="51784"
if [[ "$size" -le "$threshold" ]]; then
echo "Success $size <= $threshold"
else
echo "Fail $size > $threshold"
exit 1
fi
unittest:
uses: ./.github/workflows/_unittest.yml
with:
docker-image: executorch-ubuntu-22.04-clang12
unittest-arm:
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
include:
- build-tool: buck2
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-arm-sdk
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 90
script: |
set -eux
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
BUILD_TOOL=${{ matrix.build-tool }}
# Setup MacOS dependencies as there is no Docker support on MacOS atm
PYTHON_EXECUTABLE=python \
EXECUTORCH_BUILD_PYBIND=ON \
EXECUTORCH_BUILD_ARM_BAREMETAL=ON \
.ci/scripts/setup-linux.sh "${BUILD_TOOL}"
source .ci/scripts/utils.sh
# Install Arm dependencies
install_arm
# Run pytest with coverage
pytest -c /dev/null -v -n auto --cov=./ --cov-report=xml backends/arm/test
test-llama-runner-qnn-linux:
name: test-llama-runner-qnn-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@release/2.5
strategy:
matrix:
dtype: [fp32]
build-tool: [cmake]
mode: [qnn]
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-clang12-android
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 900
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"
DTYPE=${{ matrix.dtype }}
BUILD_TOOL=${{ matrix.build-tool }}
MODE=${{ matrix.mode }}
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh buck2
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama2/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh stories110M "${BUILD_TOOL}" "${DTYPE}" "${MODE}"