Bump scikit-learn from 1.0.1 to 1.5.0 in /docs/requirements #424
Workflow file for this run
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# Copyright (c) Microsoft Corporation. | |
# Licensed under the MIT license. | |
name: Integrated Test for Torch Model Based on NNI | |
on: [push] | |
jobs: | |
torch-model-test: | |
runs-on: ubuntu-latest | |
strategy: | |
max-parallel: 5 | |
steps: | |
- uses: actions/checkout@v2 | |
- name: Set up Python 3.7 | |
uses: actions/setup-python@v2 | |
with: | |
python-version: 3.7 | |
- name: Cache | |
uses: actions/cache@v2 | |
id: cache | |
env: | |
cache-name: download-cache | |
with: | |
path: | | |
~/.nn_meter | |
/home/runner/work/nn-Meter/data/testmodels | |
key: ${{hashFiles('nn_meter/configs/predictors.yaml')}}-${{hashFiles('tests/integration_test/test_latency_predictor.py')}} | |
- name: Install dependencies | |
run: | | |
pip install torch==1.9.0 | |
pip install torchvision==0.10.0 | |
pip install nni==2.5 | |
- name: Install nn-Meter | |
run: pip install -U . | |
- name: Integration test | |
run: python tests/integration_test/test_latency_predictor_torch.py --apply-nni | |
- name: Diff result with reference | |
run: diff tests/integration_test/data/reference_result_nni_based_torch.txt tests/integration_test/test_result_nni_based_torch.txt | |
- name: clean env | |
run: rm tests/integration_test/test_result_nni_based_torch.txt |