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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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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,93 @@ | ||
| name: Test install | ||
| permissions: read-all | ||
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| 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 ${{ matrix.backend }} | ||
|
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||
| install-torch-gpu: | ||
| name: Test install [torch - ubuntu-gpu] | ||
| defaults: | ||
| run: | ||
| shell: bash | ||
| runs-on: aks-linux-4-cores-28gb-gpu-tesla-t4 | ||
| env: | ||
| DEBIAN_FRONTEND: noninteractive | ||
| steps: | ||
| - name: Install dependencies | ||
| run : | | ||
| sudo apt-get update | ||
| sudo apt-get --assume-yes install build-essential ninja-build libgl1-mesa-dev libglib2.0-0 wget make virtualenv | ||
| - name: Download CUDA | ||
| run: | | ||
| wget -q https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run | ||
| sudo sh cuda_12.4.0_550.54.14_linux.run --toolkit --silent | ||
| - name: Runner info | ||
| continue-on-error: true | ||
| run: | | ||
| export PATH=/usr/local/cuda-12.4/bin${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 |
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| 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 | ||
|
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| import numpy as np | ||
|
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| TensorType = TypeVar("TensorType") | ||
|
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|
|
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| 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)) | ||
|
|
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| @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), | ||
| ) | ||
|
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| @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) | ||
|
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| @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) | ||
| ) | ||
|
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| 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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