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Add logging of mappings in BaseLogger #459

Add logging of mappings in BaseLogger

Add logging of mappings in BaseLogger #459

Workflow file for this run

name: Run unit tests on M1
on:
push:
branches:
- master
- "*.*.*"
paths:
- "ignite/**"
- "tests/ignite/**"
- "tests/run_code_style.sh"
- "examples/**.py"
- "requirements-dev.txt"
- ".github/workflows/mps-tests.yml"
pull_request:
paths:
- "ignite/**"
- "tests/ignite/**"
- "tests/run_code_style.sh"
- "examples/**.py"
- "requirements-dev.txt"
- ".github/workflows/mps-tests.yml"
workflow_dispatch:
concurrency:
# <workflow_name>-<branch_name>-<true || commit_sha (if branch is protected)>
group: mps-tests-${{ github.ref_name }}-${{ !(github.ref_protected) || github.sha }}
cancel-in-progress: true
# Cherry-picked from
# - https://github.com/pytorch/vision/blob/main/.github/workflows/tests.yml
# - https://github.com/pytorch/test-infra/blob/main/.github/workflows/macos_job.yml
jobs:
mps-tests:
strategy:
matrix:
python-version: [3.11]
pytorch-channel: ["pytorch"]
skip-distrib-tests: [1]
fail-fast: false
runs-on: ["macos-m1-stable"]
timeout-minutes: 60
steps:
- name: Clean workspace
run: |
echo "::group::Cleanup debug output"
sudo rm -rfv "${GITHUB_WORKSPACE}"
mkdir -p "${GITHUB_WORKSPACE}"
echo "::endgroup::"
- name: Checkout repository (pytorch/test-infra)
uses: actions/checkout@v3
with:
# Support the use case where we need to checkout someone's fork
repository: pytorch/test-infra
path: test-infra
- name: Checkout repository (${{ github.repository }})
uses: actions/checkout@v3
with:
# Support the use case where we need to checkout someone's fork
repository: ${{ github.repository }}
ref: ${{ github.ref }}
path: ${{ github.repository }}
fetch-depth: 1
- name: Setup miniconda
uses: ./test-infra/.github/actions/setup-miniconda
with:
python-version: ${{ matrix.python-version }}
- name: Install PyTorch
if: ${{ matrix.pytorch-channel == 'pytorch' }}
shell: bash -l {0}
run: |
conda shell.bash hook
conda activate $CONDA_ENV
pip install torch torchvision
- name: Install PyTorch (nightly)
if: ${{ matrix.pytorch-channel == 'pytorch-nightly' }}
shell: bash -l {0}
run: |
conda shell.bash hook
conda activate $CONDA_ENV
pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
- name: Install dependencies
shell: bash -l {0}
working-directory: ${{ github.repository }}
run: |
conda activate $CONDA_ENV
# TODO: We add set -xe to explicitly fail the CI if one of the commands is failing.
# Somehow the step is passing even if a subcommand failed
set -xe
pip install -r requirements-dev.txt
echo "1 returned code: $?"
pip install -e .
echo "2 returned code: $?"
pip list
echo "3 returned code: $?"
# Download MNIST: https://github.com/pytorch/ignite/issues/1737
# to "/tmp" for unit tests
- name: Download MNIST
uses: pytorch-ignite/download-mnist-github-action@master
with:
target_dir: /tmp
# Copy MNIST to "." for the examples
- name: Copy MNIST
run: |
cp -R /tmp/MNIST .
- name: Run Tests
shell: bash -l {0}
working-directory: ${{ github.repository }}
run: |
conda activate $CONDA_ENV
SKIP_DISTRIB_TESTS=${{ matrix.skip-distrib-tests }} bash tests/run_cpu_tests.sh
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v3
with:
file: ${{ github.repository }}/coverage.xml
flags: mps
fail_ci_if_error: false
- name: Run MNIST Examples
shell: bash -l {0}
working-directory: ${{ github.repository }}
run: |
conda activate $CONDA_ENV
python examples/mnist/mnist.py --epochs=1