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E2E workflow updates #49

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anjaliratnam-msft merged 2 commits into from
May 28, 2025
Merged

E2E workflow updates #49

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9323505
e2e workflow
anjaliratnam-msft May 9, 2025
4865e19
updates
anjaliratnam-msft May 28, 2025
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38 changes: 38 additions & 0 deletions .github/workflows/ci.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -72,3 +72,41 @@ jobs:
run: ruff check .
- name: Run ruff format
run: ruff format --check
run-e2e-tests:
name: Run E2E tests
needs: build-dists
permissions:
id-token: write
contents: read
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
python-version: [ "3.9", "3.10", "3.11", "3.12", "3.13" ]
os: [ ubuntu-latest, macOS-latest, windows-latest ]
if: ${{ (github.event_name == 'push' && github.ref == 'refs/heads/main') || github.event_name == 'workflow_dispatch' }}
steps:
- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Download distributions
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16
with:
name: dists
path: dist/
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --find-links=dist azstoragetorch
python -m pip install pytest torchvision
- name: Azure login
uses: azure/login@6c251865b4e6290e7b78be643ea2d005bc51f69a
with:
client-id: ${{ secrets.AZURE_E2E_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_E2E_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_E2E_SUBSCRIPTION_ID }}
- name: Run tests
run: pytest tests/e2e
env:
AZSTORAGETORCH_STORAGE_ACCOUNT_NAME: ${{ secrets.AZURE_E2E_STORAGE_ACCOUNT_NAME }}
4 changes: 2 additions & 2 deletions tests/e2e/test_torch_serialize.py
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Expand Up @@ -5,6 +5,7 @@
# --------------------------------------------------------------------------
import pytest
import torch
import torchvision.models

from azstoragetorch.io import BlobIO
from utils import random_resource_name
Expand All @@ -20,8 +21,7 @@ def torch_hub_cache(tmp_path_factory):

@pytest.fixture(scope="module")
def model():
model = torch.hub.load("pytorch/vision:v0.10.0", "resnet101", pretrained=False)
return model
return torchvision.models.resnet101()


@pytest.fixture(scope="module")
Expand Down