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Add missing Pyre mode headers] [batch:23/25] [shard:2/N] #617

Add missing Pyre mode headers] [batch:23/25] [shard:2/N]

Add missing Pyre mode headers] [batch:23/25] [shard:2/N] #617

Workflow file for this run

name: unit test
on:
push:
branches: [ main ]
pull_request:
jobs:
unit_tests:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.8, 3.9]
steps:
- name: Check out repo
uses: actions/checkout@v2
- name: Setup conda env
uses: conda-incubator/setup-miniconda@v2
with:
miniconda-version: "latest"
activate-environment: test
python-version: ${{ matrix.python-version }}
- name: Install dependencies
shell: bash -l {0}
run: |
set -eux
conda activate test
conda install pytorch torchaudio torchvision cpuonly -c pytorch-nightly
pip install -r requirements.txt
pip install -r dev-requirements.txt
pip install --no-build-isolation -e ".[dev]"
- name: Run unit tests with coverage
shell: bash -l {0}
run: |
set -eux
conda activate test
pytest --cov=. --cov-report xml tests -vv
- name: Upload Coverage to Codecov
uses: codecov/codecov-action@v2
gpu_unit_tests:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [linux.8xlarge.nvidia.gpu]
python-version: [3.8]
cuda-tag: ["cu11"]
steps:
- name: Check out repo
uses: actions/checkout@v2
- name: Setup conda env
uses: conda-incubator/setup-miniconda@v2
with:
miniconda-version: "latest"
activate-environment: test
python-version: ${{ matrix.python-version }}
- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
uses: pytorch/test-infra/.github/actions/setup-nvidia@main
- name: Display EC2 information
shell: bash
run: |
set -euo pipefail
function get_ec2_metadata() {
# Pulled from instance metadata endpoint for EC2
# see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
category=$1
curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
}
echo "ami-id: $(get_ec2_metadata ami-id)"
echo "instance-id: $(get_ec2_metadata instance-id)"
echo "instance-type: $(get_ec2_metadata instance-type)"
- name: Install dependencies
shell: bash -l {0}
run: |
set -eux
conda activate test
pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu117
# Use stable fbgemm-gpu
pip uninstall -y fbgemm-gpu-nightly
pip install fbgemm-gpu==0.2.0
pip install -r requirements.txt
pip install -r dev-requirements.txt
pip install --no-build-isolation -e ".[dev]"
- name: Run unit tests with coverage
shell: bash -l {0}
run: |
set -eux
conda activate test
pytest --timeout=60 --cov=. --cov-report xml -vv -rA -m "gpu_only or cpu_and_gpu" tests
- name: Upload coverage to codecov
uses: codecov/codecov-action@v2