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[GHA] test install (openvinotoolkit#3080)
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### Changes

Add workflow "Test install"

- Add removable_tmp_path to clean venv after test, to avoid reach space
limit on host.
 - Remove test_install_with_tests_requirements
 - Check only `python -m venv`
- Split 'helper.py' to run install test without install `pip install -e
.`
 
 
### Tests
[run](https://github.com/openvinotoolkit/nncf/actions/runs/11818198847)
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AlexanderDokuchaev authored and daniil-lyakhov committed Dec 2, 2024
1 parent 55b24fa commit 7c8c116
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Showing 14 changed files with 283 additions and 183 deletions.
93 changes: 93 additions & 0 deletions .github/workflows/install.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,93 @@
name: Test install
permissions: read-all

on:
workflow_dispatch:
inputs:
pull_request_number:
description: 'The pull request number'
default: ''
schedule:
- cron: '0 0 * * *'

jobs:
install-cpu:
name: Test install [${{ matrix.backend }} - ${{ matrix.runner }}]
runs-on: ${{ matrix.runner }}
strategy:
fail-fast: false
matrix:
backend: ["torch", "tf", "onnx", "openvino"]
runner: ["windows-latest", "ubuntu-22.04"]
defaults:
run:
shell: bash
steps:
- uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
with:
lfs: true
fetch-depth: 0 # Fetch full history to allow checking out any branch or PR
- name: Fetch and Checkout the Pull Request Branch
if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.pull_request_number != '' }}
run: |
git fetch origin pull/${{ github.event.inputs.pull_request_number }}/head:pr-${{ github.event.inputs.pull_request_number }}
git checkout pr-${{ github.event.inputs.pull_request_number }}
- uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
with:
python-version: "3.10"
cache: pip
- name: Install test requirements
run: |
pip install -r tests/cross_fw/examples/requirements.txt
- name: Print installed modules
run: pip list
- name: Run install test scope
run: pytest tests/cross_fw/install -rA -s --host-configuration cpu --backend ${{ matrix.backend }}

install-torch-gpu:
name: Test install [torch - ubuntu-gpu]
defaults:
run:
shell: bash
runs-on: aks-linux-4-cores-28gb-gpu-tesla-t4
env:
DEBIAN_FRONTEND: noninteractive
steps:
- name: Install dependencies
run : |
sudo apt-get update
sudo apt-get --assume-yes install build-essential ninja-build libgl1-mesa-dev libglib2.0-0 wget make virtualenv
- name: Download CUDA
run: |
wget -q https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run
sudo sh cuda_12.4.0_550.54.14_linux.run --toolkit --silent
- name: Runner info
continue-on-error: true
run: |
export PATH=/usr/local/cuda-12.4/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
nvidia-smi
cat /proc/cpuinfo
nvcc --version
- uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
with:
lfs: true
- name: Fetch and Checkout the Pull Request Branch
if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.pull_request_number != '' }}
run: |
git fetch origin pull/${{ github.event.inputs.pull_request_number }}/head:pr-${{ github.event.inputs.pull_request_number }}
git checkout pr-${{ github.event.inputs.pull_request_number }}
- uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
with:
python-version: 3.10.14
cache: pip
- name: Install test requirements
run: |
pip install -r tests/cross_fw/examples/requirements.txt
- name: Print installed modules
run: pip list
- name: Run install test scope
run: |
export PATH=/usr/local/cuda-12.4/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-12.4/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
pytest tests/cross_fw/install -rA -s --host-configuration gpu --backend torch
2 changes: 1 addition & 1 deletion tests/cross_fw/examples/test_examples.py
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
from tests.cross_fw.shared.helpers import create_venv_with_nncf
from tests.cross_fw.shared.helpers import get_pip_executable_with_venv
from tests.cross_fw.shared.helpers import get_python_executable_with_venv
from tests.cross_fw.shared.helpers import load_json
from tests.cross_fw.shared.json import load_json
from tests.cross_fw.shared.paths import PROJECT_ROOT
from tests.cross_fw.shared.paths import TEST_ROOT

Expand Down
70 changes: 13 additions & 57 deletions tests/cross_fw/install/test_install.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,9 +17,6 @@

import pytest

import nncf
from nncf.common.utils.os import is_linux
from nncf.common.utils.os import is_windows
from tests.cross_fw.install.conftest import TESTED_BACKENDS
from tests.cross_fw.shared.case_collection import skip_if_backend_not_selected
from tests.cross_fw.shared.helpers import create_venv_with_nncf
Expand All @@ -31,27 +28,9 @@

def run_install_checks(venv_path: Path, tmp_path: Path, package_type: str, backend: str, install_type: str):
if install_type.lower() not in ["cpu", "gpu"]:
raise nncf.ValidationError("Unknown installation mode - must be either 'cpu' or 'gpu'")
raise ValueError("Unknown installation mode - must be either 'cpu' or 'gpu'")

python_executable_with_venv = get_python_executable_with_venv(venv_path)
pip_with_venv = get_pip_executable_with_venv(venv_path)

if package_type in ["build_s", "build_w"]:
# Do additional install step for sdist/bdist packages
def find_file_by_extension(directory: Path, extension: str) -> str:
for file_path in directory.iterdir():
file_path_str = str(file_path)
if file_path_str.endswith(extension):
return file_path_str
raise FileNotFoundError("NNCF package not found")

if package_type == "build_s":
package_path = find_file_by_extension(PROJECT_ROOT / "dist", ".tar.gz")
elif package_type == "build_w":
package_path = find_file_by_extension(PROJECT_ROOT / "dist", ".whl")

run_cmd_line = f"{pip_with_venv} install {package_path}"
subprocess.run(run_cmd_line, check=True, shell=True)

run_path = tmp_path / "run"
install_checks_py_name = f"install_checks_{backend}.py"
Expand All @@ -69,16 +48,17 @@ def find_file_by_extension(directory: Path, extension: str) -> str:
)


@pytest.fixture(name="venv_type", params=["virtualenv", "venv"])
def venv_type_(request):
@pytest.fixture(name="package_type", params=["pip_local", "pip_git_develop", "pip_pypi", "build_s", "build_w"])
def package_type_(request):
return request.param


@pytest.fixture(
name="package_type", params=["pip_local", "pip_e_local", "pip_git_develop", "pip_pypi", "build_s", "build_w"]
)
def package_type_(request):
return request.param
@pytest.fixture
def removable_tmp_path(tmp_path: Path):
# The default tmp_path is automatically removed after some time,
# but we need to remove the venv after each test to avoid exceeding the space limit.
yield tmp_path
shutil.rmtree(tmp_path)


@pytest.fixture(name="backend_to_test")
Expand All @@ -96,9 +76,8 @@ def backend_to_test_(request, backend_clopt: List[str]):
class TestInstall:
@staticmethod
def test_install(
tmp_path: Path,
removable_tmp_path: Path,
backend: str,
venv_type: str,
package_type: str,
backend_clopt: List[str],
host_configuration_clopt: str,
Expand All @@ -107,34 +86,11 @@ def test_install(
skip_if_backend_not_selected(backend, backend_clopt)
if "pypi" in package_type:
pytest.xfail("Disabled until NNCF is exposed in a release")
venv_path = create_venv_with_nncf(tmp_path, package_type, venv_type, {backend})
venv_path = create_venv_with_nncf(removable_tmp_path, package_type, "venv", {backend})
if ov_version_override is not None:
pip_with_venv = get_pip_executable_with_venv(venv_path)
ov_version_cmd_line = f"{pip_with_venv} install {ov_version_override}"
subprocess.run(ov_version_cmd_line, check=True, shell=True)
run_install_checks(venv_path, tmp_path, package_type, backend=backend, install_type=host_configuration_clopt)

@staticmethod
def test_install_with_tests_requirements(
tmp_path: Path,
backend: str,
venv_type: str,
package_type: str,
backend_clopt: List[str],
host_configuration_clopt: str,
):
skip_if_backend_not_selected(backend, backend_clopt)
if "pypi" in package_type:
pytest.xfail("Disabled until NNCF is exposed in a release")
venv_path = create_venv_with_nncf(tmp_path, package_type, venv_type, backends={backend})

if is_linux():
pip_with_venv = f". {venv_path}/bin/activate && {venv_path}/bin/pip"
elif is_windows():
pip_with_venv = f" {venv_path}\\Scripts\\activate && python -m pip"

backend_name = "tensorflow" if backend == "tf" else backend
subprocess.check_call(
f"{pip_with_venv} install -r {PROJECT_ROOT}/tests/{backend_name}/requirements.txt", shell=True
run_install_checks(
venv_path, removable_tmp_path, package_type, backend=backend, install_type=host_configuration_clopt
)
run_install_checks(venv_path, tmp_path, package_type, backend=backend, install_type=host_configuration_clopt)
92 changes: 92 additions & 0 deletions tests/cross_fw/shared/comparator.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,92 @@
# Copyright (c) 2024 Intel Corporation
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from abc import ABC
from abc import abstractmethod
from typing import Callable, Dict, List, TypeVar, Union

import numpy as np

TensorType = TypeVar("TensorType")


class BaseTensorListComparator(ABC):
@classmethod
@abstractmethod
def _to_numpy(cls, tensor: TensorType) -> np.ndarray:
pass

@classmethod
def _check_assertion(
cls,
test: Union[TensorType, List[TensorType]],
reference: Union[TensorType, List[TensorType]],
assert_fn: Callable[[np.ndarray, np.ndarray], bool],
):
if not isinstance(test, list):
test = [test]
if not isinstance(reference, list):
reference = [reference]
assert len(test) == len(reference)

for x, y in zip(test, reference):
x = cls._to_numpy(x)
y = cls._to_numpy(y)
assert_fn(x, y)

@classmethod
def check_equal(
cls,
test: Union[TensorType, List[TensorType]],
reference: Union[TensorType, List[TensorType]],
rtol: float = 1e-1,
atol=0,
):
cls._check_assertion(test, reference, lambda x, y: np.testing.assert_allclose(x, y, rtol=rtol, atol=atol))

@classmethod
def check_not_equal(
cls,
test: Union[TensorType, List[TensorType]],
reference: Union[TensorType, List[TensorType]],
rtol: float = 1e-4,
):
cls._check_assertion(
test,
reference,
lambda x, y: np.testing.assert_raises(AssertionError, np.testing.assert_allclose, x, y, rtol=rtol),
)

@classmethod
def check_less(
cls, test: Union[TensorType, List[TensorType]], reference: Union[TensorType, List[TensorType]], rtol=1e-4
):
cls.check_not_equal(test, reference, rtol=rtol)
cls._check_assertion(test, reference, np.testing.assert_array_less)

@classmethod
def check_greater(
cls, test: Union[TensorType, List[TensorType]], reference: Union[TensorType, List[TensorType]], rtol=1e-4
):
cls.check_not_equal(test, reference, rtol=rtol)
cls._check_assertion(
test, reference, lambda x, y: np.testing.assert_raises(AssertionError, np.testing.assert_array_less, x, y)
)


def compare_stats(expected: Dict[str, np.ndarray], actual: Dict[str, np.ndarray]):
assert len(expected) == len(actual)
for ref_node_name, ref_stats in expected.items():
actual_stats = actual[ref_node_name]
for param_name, ref_param in ref_stats.items():
actual_param = actual_stats.get(param_name)
assert np.array(ref_param).shape == np.array(actual_param).shape
assert np.allclose(ref_param, actual_param, atol=1e-5)
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