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[GHA] macos (#3110)
### Changes Introduce tests on MacOS in weakly scope - precommit / common - precommit / openvino
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.github/workflows/macos.yml

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name: MacOS
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permissions: read-all
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on:
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workflow_dispatch:
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inputs:
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pull_request_number:
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description: 'The pull request number'
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default: ''
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schedule:
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- cron: '0 0 * * 0'
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jobs:
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precommit-common:
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runs-on: macos-14
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steps:
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- uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
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with:
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lfs: true
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fetch-depth: 0 # Fetch full history to allow checking out any branch or PR
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- name: Fetch and Checkout the Pull Request Branch
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if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.pull_request_number != '' }}
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run: |
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git fetch origin pull/${{ github.event.inputs.pull_request_number }}/head:pr-${{ github.event.inputs.pull_request_number }}
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git checkout pr-${{ github.event.inputs.pull_request_number }}
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- uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
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with:
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python-version: "3.10"
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cache: pip
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- name: Install dependencies
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run: |
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pip install .
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pip install -r tests/common/requirements.txt
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- name: Print installed modules
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run: pip list
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- name: Run pre-commit
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run: pytest -n 2 -ra tests/common
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precommit-openvino:
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runs-on: macos-14
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steps:
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- uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
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with:
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lfs: true
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fetch-depth: 0 # Fetch full history to allow checking out any branch or PR
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- name: Fetch and Checkout the Pull Request Branch
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if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.pull_request_number != '' }}
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run: |
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git fetch origin pull/${{ github.event.inputs.pull_request_number }}/head:pr-${{ github.event.inputs.pull_request_number }}
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git checkout pr-${{ github.event.inputs.pull_request_number }}
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- uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
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with:
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python-version: "3.10"
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cache: pip
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- name: Install dependencies
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run: |
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pip install .
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pip install -r tests/openvino/requirements.txt
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- name: Print installed modules
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run: pip list
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- name: Run pre-commit
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run: pytest -n 3 -ra tests/openvino --dist loadscope
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env:
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ONEDNN_MAX_CPU_ISA: AVX2

nncf/common/utils/os.py

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Original file line numberDiff line numberDiff line change
@@ -47,6 +47,10 @@ def is_linux() -> bool:
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return "linux" in sys.platform
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def is_macos() -> bool:
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return "darwin" in sys.platform
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def get_available_cpu_count(logical: bool = True) -> int:
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"""
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Return the number of CPUs in the system.

tests/openvino/native/quantization/test_reducers_and_aggregators.py

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@@ -17,6 +17,7 @@
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import pytest
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from nncf.common.graph.layer_attributes import Dtype
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from nncf.common.utils.os import is_macos
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from nncf.openvino.statistics.collectors import OVAbsMaxReducer
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from nncf.openvino.statistics.collectors import OVAbsQuantileReducer
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from nncf.openvino.statistics.collectors import OVBatchMeanReducer
@@ -88,7 +89,9 @@ def test_mixed_precision_reducers(self, reducer_cls, reduction_axes, ref_value):
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compiled_ov_model = ov.compile_model(ov_model)
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reducer_output = compiled_ov_model(input_)[0]
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assert np.allclose(reducer_output, ref_value)
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atol = 1.0e-8 if not is_macos() else 0.3
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assert np.allclose(reducer_output, ref_value, atol=atol)
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@pytest.mark.parametrize(
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"input_", [np.arange(2), np.arange(2 * 4 * 8).reshape(8, 8), np.arange(2 * 4 * 8).reshape(2, 4, 8)]

tests/openvino/native/test_fast_bias_correction.py

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@@ -16,6 +16,7 @@
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import torch
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from nncf.common.factory import NNCFGraphFactory
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from nncf.common.utils.os import is_macos
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from nncf.openvino.graph.node_utils import get_bias_value
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from nncf.openvino.graph.node_utils import is_node_with_bias
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from nncf.quantization.algorithms.fast_bias_correction.openvino_backend import OVFastBiasCorrectionAlgoBackend
@@ -54,12 +55,15 @@ def transform_fn(data_item):
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def check_bias(model: ov.Model, ref_bias: list):
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ref_bias = np.array(ref_bias)
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nncf_graph = NNCFGraphFactory.create(model)
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atol = 0.0001 if not is_macos() else 0.01
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for node in nncf_graph.get_all_nodes():
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if not is_node_with_bias(node, nncf_graph):
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continue
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bias_value = get_bias_value(node, nncf_graph, model)
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bias_value = bias_value.reshape(ref_bias.shape)
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assert np.all(np.isclose(bias_value, ref_bias, atol=0.0001)), f"{bias_value} != {ref_bias}"
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assert np.all(np.isclose(bias_value, ref_bias, atol=atol)), f"{bias_value} != {ref_bias}"
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return
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raise ValueError("Not found node with bias")

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