Support for freezing pretrained vision model layers with regex #12277

Workflow file for this run

	# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
	# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

	name: pytest

	on:
	push:
	branches: ["master", "release-*"]
	pull_request:
	branches: ["master", "release-*"]

	# We want an ongoing run of this workflow to be canceled by a later commit
	# so that there is only one concurrent run of this workflow for each branch
	concurrency:
	group: pytest-${{ github.head_ref \|\| github.sha }}
	cancel-in-progress: true

	jobs:
	pytest:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest]
	python-version: ["3.8", "3.9", "3.10"]
	test-markers: ["not distributed", "distributed"]
	include:
	- python-version: "3.8"
	pytorch-version: 2.0.0
	torchscript-version: 1.10.2
	ray-version: 2.2.0
	- python-version: "3.9"
	pytorch-version: 2.1.1
	torchscript-version: 1.10.2
	ray-version: 2.3.1
	- python-version: "3.10"
	pytorch-version: nightly
	torchscript-version: 1.10.2
	ray-version: 2.3.1
	env:
	PYTORCH: ${{ matrix.pytorch-version }}
	MARKERS: ${{ matrix.test-markers }}
	NEUROPOD_BASE_DIR: "/usr/local/lib/neuropod"
	NEUROPOD_VERISON: "0.3.0-rc6"
	TORCHSCRIPT_VERISON: ${{ matrix.torchscript-version }}
	RAY_VERSION: ${{ matrix.ray-version }}
	AWS_ACCESS_KEY_ID: ${{ secrets.LUDWIG_TESTS_AWS_ACCESS_KEY_ID }}
	AWS_SECRET_ACCESS_KEY: ${{ secrets.LUDWIG_TESTS_AWS_SECRET_ACCESS_KEY }}
	KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}
	KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }}
	IS_NOT_FORK: ${{ !(github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && github.event.pull_request.head.repo.fork) }}

	name: py${{ matrix.python-version }}, torch-${{ matrix.pytorch-version }}, ${{ matrix.test-markers }}, ${{ matrix.os }}, ray ${{ matrix.ray-version }}
	services:
	minio:
	image: fclairamb/minio-github-actions
	env:
	MINIO_ACCESS_KEY: minio
	MINIO_SECRET_KEY: minio123
	ports:
	- 9000:9000

	timeout-minutes: 150
	steps:
	- name: Setup ludwigai/ludwig-ray container for local testing with act.
	if: ${{ env.ACT }}
	run: \|
	curl -fsSL https://deb.nodesource.com/setup_16.x \| sudo -E bash -
	sudo apt-get install -y nodejs
	sudo mkdir -p /opt/hostedtoolcache/
	sudo chmod 777 -R /opt/hostedtoolcache/
	- uses: actions/checkout@v2
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}

	- name: Setup Linux
	if: runner.os == 'linux'
	run: \|
	sudo apt-get update && sudo apt-get install -y cmake libsndfile1 wget libsox-dev

	- name: Setup macOS
	if: runner.os == 'macOS'
	run: \|
	brew install libuv

	- name: pip cache
	if: ${{ !env.ACT }}
	uses: actions/cache@v2
	with:
	path: ~/.cache/pip
	key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }}-${{ matrix.test-markers }}-${{ hashFiles('requirements*.txt', '.github/workflows/pytest.yml') }}

	- name: Debug out of space
	run: \|
	du -h -d 1 ~
	df -h

	- name: Install dependencies
	run: \|
	python --version
	pip --version
	python -m pip install -U pip
	cmake --version

	# remove torch and ray from the dependencies so we can add them depending on the matrix args for the job.
	cat requirements.txt \| sed '/^torch[>=<\b]/d' \| sed '/^torchtext/d' \| sed '/^torchvision/d' \| sed '/^torchaudio/d' > requirements-temp && mv requirements-temp requirements.txt
	cat requirements_distributed.txt \| sed '/^ray[\[]/d'

	if [ "$MARKERS" != "distributed" ]; then
	# Skip distributed and hyperopt requirements to test optional imports
	echo > requirements-temp && mv requirements-temp requirements_distributed.txt
	echo > requirements-temp && mv requirements-temp requirements_hyperopt.txt

	# Skip distributed tree requirement (lightgbm-ray)
	cat requirements_tree.txt \| sed '/^lightgbm-ray/d' > requirements-temp && mv requirements-temp requirements_tree.txt
	else
	if [ "$RAY_VERSION" == "nightly" ]; then
	# NOTE: hardcoded for python 3.10 on Linux
	echo "ray[default,data,serve,tune] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp310-cp310-manylinux2014_x86_64.whl" >> requirements_distributed.txt
	else
	echo "ray[default,data,serve,tune]==$RAY_VERSION" >> requirements_distributed.txt
	fi
	fi

	if [ "$PYTORCH" == "nightly" ]; then
	extra_index_url=https://download.pytorch.org/whl/nightly/cpu
	# Temporary Fix - remove torchdata once https://github.com/pytorch/text/pull/2218 lands.
	pip install torchdata --extra-index-url https://download.pytorch.org/whl/cpu
	pip install --pre torch torchdata torchtext torchvision torchaudio --index-url $extra_index_url

	else
	extra_index_url=https://download.pytorch.org/whl/cpu
	pip install torch==$PYTORCH torchtext torchvision torchaudio --extra-index-url $extra_index_url
	fi

	pip install '.[test]' --extra-index-url $extra_index_url
	pip list

	if [ "$PYTORCH" == "nightly" ]; then
	python -c "from packaging import version; import torch; assert version.parse(torch.__version__).release >= version.parse(\"2.0.0\").release, f\"torch {version.parse(torch.__version__).release} < version.parse(\'2.0.0\').release\""
	else
	python -c "from packaging import version; import torch; assert version.parse(torch.__version__).release == version.parse(\"$PYTORCH\").release, f\"torch {version.parse(torch.__version__).release} != version.parse(\'$PYTORCH\').release\""
	fi

	if [ "$MARKERS" == "distributed" ]; then
	python -c "from packaging import version; import ray; assert version.parse(ray.__version__).release == version.parse(\"$RAY_VERSION\").release, f\"ray {version.parse(ray.__version__).release} != version.parse(\'$RAY_VERSION\').release\""
	else
	python -c "import importlib.util; assert importlib.util.find_spec('ray') is None, \"found ray but expected it to not be installed\""
	fi
	shell: bash

	- name: Install Neuropod backend
	run: \|
	sudo mkdir -p "$NEUROPOD_BASE_DIR"
	curl -L https://github.com/uber/neuropod/releases/download/v${{ env.NEUROPOD_VERISON }}/libneuropod-cpu-linux-v${{ env.NEUROPOD_VERISON }}-torchscript-${{ env.TORCHSCRIPT_VERISON }}-backend.tar.gz \| sudo tar -xz -C "$NEUROPOD_BASE_DIR"
	shell: bash

	- name: Unit Tests
	run: \|
	RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=5400 pytest -v --timeout 300 --durations 100 -m "$MARKERS and not slow and not combinatorial and not horovod and not llm" --junitxml pytest.xml tests/ludwig

	- name: Regression Tests
	run: \|
	RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=5400 pytest -v --timeout 300 --durations 100 -m "$MARKERS and not slow and not combinatorial and not horovod or benchmark and not llm" --junitxml pytest.xml tests/regression_tests

	# Skip Horovod and replace with DDP.
	# https://github.com/ludwig-ai/ludwig/issues/3468
	# - name: Install Horovod if necessary
	# if: matrix.test-markers == 'distributed' && matrix.pytorch-version != 'nightly'
	# env:
	# HOROVOD_WITH_PYTORCH: 1
	# HOROVOD_WITHOUT_MPI: 1
	# HOROVOD_WITHOUT_TENSORFLOW: 1
	# HOROVOD_WITHOUT_MXNET: 1
	# run: \|
	# pip install -r requirements_extra.txt
	# HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" \|\| true)
	# if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then
	# pip uninstall -y horovod
	# pip install --no-cache-dir git+https://github.com/horovod/horovod.git@master
	# fi
	# horovodrun --check-build
	# shell: bash

	# Skip Horovod tests and replace with DDP.
	# https://github.com/ludwig-ai/ludwig/issues/3468
	# - name: Horovod Tests
	# if: matrix.test-markers == 'distributed' && matrix.pytorch-version != 'nightly'
	# run: \|
	# RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=5400 pytest -v --timeout 300 --durations 100 -m "$MARKERS and horovod and not slow and not combinatorial and not llm" --junitxml pytest.xml tests/

	- name: Upload Unit Test Results
	if: ${{ always() && !env.ACT }}
	uses: actions/upload-artifact@v2
	with:
	name: Unit Test Results (Python ${{ matrix.python-version }} ${{ matrix.test-markers }})
	path: pytest.xml

	integration-tests:
	name: ${{ matrix.test-markers }}
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	test-markers:
	- "integration_tests_a"
	- "integration_tests_b"
	- "integration_tests_c"
	- "integration_tests_d"
	- "integration_tests_e"
	- "integration_tests_f"

	env:
	AWS_ACCESS_KEY_ID: ${{ secrets.LUDWIG_TESTS_AWS_ACCESS_KEY_ID }}
	AWS_SECRET_ACCESS_KEY: ${{ secrets.LUDWIG_TESTS_AWS_SECRET_ACCESS_KEY }}
	KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}
	KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }}
	IS_NOT_FORK: ${{ !(github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && github.event.pull_request.head.repo.fork) }}
	MARKERS: ${{ matrix.test-markers }}

	services:
	minio:
	image: fclairamb/minio-github-actions
	env:
	MINIO_ACCESS_KEY: minio
	MINIO_SECRET_KEY: minio123
	ports:
	- 9000:9000

	timeout-minutes: 90
	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.9
	uses: actions/setup-python@v2
	with:
	python-version: 3.9

	- name: Setup Linux
	if: runner.os == 'linux'
	run: \|
	sudo apt-get update && sudo apt-get install -y cmake libsndfile1

	- name: Setup macOS
	if: runner.os == 'macOS'
	run: \|
	brew install libuv

	- name: Install dependencies
	run: \|
	python --version
	pip --version
	python -m pip install -U pip

	# remove torch and ray from the dependencies so we can add them depending on the matrix args for the job.
	cat requirements.txt \| sed '/^torch[>=<\b]/d' \| sed '/^torchtext/d' \| sed '/^torchvision/d' \| sed '/^torchaudio/d' > requirements-temp && mv requirements-temp requirements.txt
	cat requirements_distributed.txt \| sed '/^ray[\[]/d'
	pip install torch==2.0.0 torchtext torchvision torchaudio
	pip install ray==2.3.0
	pip install '.[test]'
	pip list
	shell: bash

	- name: Integration Tests
	run: \|
	RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=7200 pytest -v --timeout 300 --durations 100 -m "not slow and not combinatorial and not horovod and not llm and $MARKERS" --junitxml pytest.xml tests/integration_tests

	llm-tests:
	name: LLM Tests
	runs-on: ubuntu-latest

	timeout-minutes: 60
	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.9
	uses: actions/setup-python@v2
	with:
	python-version: 3.9

	- name: Setup Linux
	if: runner.os == 'linux'
	run: \|
	sudo apt-get update && sudo apt-get install -y cmake libsndfile1

	- name: Setup macOS
	if: runner.os == 'macOS'
	run: \|
	brew install libuv

	- name: Install dependencies
	run: \|
	python --version
	pip --version
	python -m pip install -U pip

	# remove torch and ray from the dependencies so we can add them depending on the matrix args for the job.
	cat requirements.txt \| sed '/^torch[>=<\b]/d' \| sed '/^torchtext/d' \| sed '/^torchvision/d' \| sed '/^torchaudio/d' > requirements-temp && mv requirements-temp requirements.txt
	cat requirements_distributed.txt \| sed '/^ray[\[]/d'
	pip install torch==2.0.0 torchtext torchvision torchaudio
	pip install ray==2.3.0
	pip install '.[test]'
	pip list
	shell: bash

	- name: LLM Tests
	run: \|
	pytest -vs --durations 100 -m "llm" --junitxml pytest.xml tests

	combinatorial-tests:
	name: Combinatorial Tests
	runs-on: ubuntu-latest

	timeout-minutes: 60
	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.8
	uses: actions/setup-python@v2
	with:
	python-version: 3.8

	- name: Setup Linux
	if: runner.os == 'linux'
	run: \|
	sudo apt-get update && sudo apt-get install -y cmake libsndfile1

	- name: Setup macOS
	if: runner.os == 'macOS'
	run: \|
	brew install libuv

	- name: Install dependencies
	run: \|
	python --version
	pip --version
	python -m pip install -U pip
	pip install '.[test]'
	pip list
	shell: bash

	- name: Testing combinatorial config generation code
	run: \|
	pytest -vs --durations 100 -m "combinatorial" --junitxml pytest.xml tests/ludwig/config_sampling

	- name: Combinatorial Tests
	run: \|
	pytest -rx --durations 100 -m "combinatorial" --junitxml pytest.xml tests/training_success

	test-minimal-install:
	name: Test Minimal Install
	runs-on: ubuntu-latest

	timeout-minutes: 15
	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.8
	uses: actions/setup-python@v2
	with:
	python-version: 3.8

	- name: Setup Linux
	if: runner.os == 'linux'
	run: \|
	sudo apt-get update && sudo apt-get install -y cmake libsndfile1

	- name: Setup macOS
	if: runner.os == 'macOS'
	run: \|
	brew install libuv

	- name: Install dependencies
	run: \|
	python --version
	pip --version
	python -m pip install -U pip
	pip install torch==2.0.0 torchtext
	pip install ray==2.3.0
	pip install '.'
	pip list
	shell: bash
	- name: Check Install
	run: \|
	ludwig check_install
	shell: bash

	- name: Test Getting Started
	run: \|
	cd examples/getting_started && sh ./run.sh
	shell: bash

	# start-runner:
	# name: Start self-hosted EC2 runner
	# if: >
	# always() && needs.pytest.result != 'failure' && (
	# github.event_name == 'schedule' && github.repository == 'ludwig-ai/ludwig' \|\|
	# github.event_name == 'push' && github.repository == 'ludwig-ai/ludwig' \|\|
	# github.event_name == 'pull_request' && github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && !github.event.pull_request.head.repo.fork)
	# needs: pytest
	# runs-on: ubuntu-latest
	# outputs:
	# label: ${{ steps.start-ec2-runner.outputs.label }}
	# ec2-instance-id: ${{ steps.start-ec2-runner.outputs.ec2-instance-id }}

	# steps:
	# - name: Configure AWS credentials
	# uses: aws-actions/configure-aws-credentials@v1
	# with:
	# aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
	# aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
	# aws-region: ${{ secrets.AWS_REGION }}

	# - name: Start EC2 runner
	# id: start-ec2-runner
	# uses: machulav/[email protected]
	# with:
	# mode: start
	# github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
	# ec2-image-id: ami-0759580dedc953d1f
	# ec2-instance-type: g4dn.xlarge
	# subnet-id: subnet-0983be43
	# security-group-id: sg-4cba0d08
	# aws-resource-tags: >
	# [
	# {"Key": "Name", "Value": "ludwig-github-${{ github.head_ref \|\| github.sha }}"},
	# {"Key": "GitHubRepository", "Value": "${{ github.repository }}"},
	# {"Key": "GitHubHeadRef", "Value": "${{ github.head_ref }}"},
	# {"Key": "GitHubSHA", "Value": "${{ github.sha }}"}
	# ]

	# pytest-gpu:
	# if: needs.start-runner.result != 'skipped'
	# needs: start-runner # required to start the main job when the runner is ready
	# runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runners
	# strategy:
	# fail-fast: false
	# matrix:
	# python-version: [3.7]
	# include:
	# - python-version: 3.7
	# pytorch-version: 1.10.0
	# torchscript-version: 1.10.2
	# env:
	# PYTORCH: ${{ matrix.pytorch-version }}
	# NEUROPOD_BASE_DIR: "/usr/local/lib/neuropod"
	# NEUROPOD_VERISON: "0.3.0-rc6"
	# TORCHSCRIPT_VERISON: ${{ matrix.torchscript-version }}

	# name: py${{ matrix.python-version }}, torch-${{ matrix.pytorch-version }}, gpu

	# timeout-minutes: 70
	# steps:
	# - uses: actions/checkout@v2
	# - name: Set up Python ${{ matrix.python-version }}
	# uses: actions/setup-python@v2
	# with:
	# python-version: ${{ matrix.python-version }}

	# - name: Setup Linux
	# if: runner.os == 'linux'
	# run: \|
	# sudo apt-get update && sudo apt-get install -y libsndfile1 cmake ccache build-essential g++-8 gcc-8
	# cmake --version

	# - name: Install CUDA drivers
	# run: \|
	# wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
	# sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
	# wget https://developer.download.nvidia.com/compute/cuda/11.5.1/local_installers/cuda-repo-ubuntu2004-11-5-local_11.5.1-495.29.05-1_amd64.deb
	# sudo dpkg -i cuda-repo-ubuntu2004-11-5-local_11.5.1-495.29.05-1_amd64.deb
	# sudo apt-key add /var/cuda-repo-ubuntu2004-11-5-local/7fa2af80.pub
	# sudo apt-get update
	# sudo apt-get -y install cuda
	# shell: bash

	# - name: pip cache
	# uses: actions/cache@v2
	# with:
	# path: ~/.cache/pip
	# key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }}-${{ hashFiles('requirements*.txt') }}
	# restore-keys: \|
	# ${{ runner.os }}-pip-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }}-

	# - name: Install dependencies
	# env:
	# HOROVOD_WITH_PYTORCH: 1
	# HOROVOD_WITHOUT_MPI: 1
	# HOROVOD_WITHOUT_TENSORFLOW: 1
	# HOROVOD_WITHOUT_MXNET: 1
	# run: \|
	# python --version
	# pip --version
	# python -m pip install -U pip
	# if [ $PYTORCH == "nightly" ]; then
	# cat requirements.txt \| sed '/^torch[>=<]/d' > requirements-temp && mv requirements-temp requirements.txt
	# pip install --pre torch torchvision -f https://download.pytorch.org/whl/torch_stable.html
	# else
	# pip install torch==${PYTORCH}+cu111 -f https://download.pytorch.org/whl/torch_stable.html
	# fi
	# # pip install --no-cache-dir git+https://github.com/horovod/horovod.git@master
	# pip install dulwich==0.20.26 # workaround for `/usr/bin/ld: cannot find -lpython3.7m`
	# pip install '.[test]'
	# pip list
	# shell: bash

	# - name: Install Neuropod backend
	# run: \|
	# sudo mkdir -p "$NEUROPOD_BASE_DIR"
	# curl -L https://github.com/uber/neuropod/releases/download/v${{ env.NEUROPOD_VERISON }}/libneuropod-cpu-linux-v${{ env.NEUROPOD_VERISON }}-torchscript-${{ env.TORCHSCRIPT_VERISON }}-backend.tar.gz \| sudo tar -xz -C "$NEUROPOD_BASE_DIR"
	# shell: bash

	# - name: Reinstall Horovod if necessary
	# env:
	# HOROVOD_WITH_PYTORCH: 1
	# HOROVOD_WITHOUT_MPI: 1
	# HOROVOD_WITHOUT_TENSORFLOW: 1
	# HOROVOD_WITHOUT_MXNET: 1
	# run: \|
	# HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" \|\| true)
	# if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then
	# pip uninstall -y horovod
	# pip install --no-cache-dir git+https://github.com/horovod/horovod.git@master
	# fi
	# horovodrun --check-build
	# shell: bash

	# - name: Check CUDA is available
	# run: \|
	# python -c "import torch; assert torch.cuda.is_available()"

	# - name: Tests
	# run: \|
	# pytest -v --timeout 300 --durations 10 --junitxml pytest.xml tests

	# - name: Upload Unit Test Results
	# if: always()
	# uses: actions/upload-artifact@v2
	# with:
	# name: Unit Test Results (Python ${{ matrix.python-version }} gpu
	# path: pytest.xml

	event_file:
	name: "Event File"
	runs-on: ubuntu-latest

	steps:
	- name: Upload
	if: ${{ !env.ACT }}
	uses: actions/upload-artifact@v2
	with:
	name: Event File
	path: ${{ github.event_path }}

	# stop-runner:
	# name: Stop self-hosted EC2 runner

	# # required to stop the runner even if the error happened in the previous job
	# if: always() && needs.start-runner.result != 'skipped'
	# needs:
	# - start-runner # required to get output from the start-runner job
	# - pytest-gpu # required to wait when the main job is done
	# runs-on: ubuntu-latest

	# steps:
	# - name: Configure AWS credentials
	# uses: aws-actions/configure-aws-credentials@v1
	# with:
	# aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
	# aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
	# aws-region: ${{ secrets.AWS_REGION }}

	# - name: Stop EC2 runner
	# uses: machulav/[email protected]
	# with:
	# mode: stop
	# github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
	# label: ${{ needs.start-runner.outputs.label }}
	# ec2-instance-id: ${{ needs.start-runner.outputs.ec2-instance-id }}

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Support for freezing pretrained vision model layers with regex #12277

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Support for freezing pretrained vision model layers with regex #12277

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