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Python Package using Conda

Workloads #566

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Workloads

Workloads #566

Workflow file for this run

.github/workflows/python-package-conda.yml at 65fadf2
name: Python Package using Conda
on:
pull_request:
branches: [ main, dev ]
push:
jobs:
build-and-test:
strategy:
fail-fast: false
matrix:
os: [ ubuntu-20.04, ubuntu-22.04 ]
profiler: [ DEFAULT, DLIO_PROFILER ]
gcc: [10]
python: ["3.8", "3.9", "3.10" ]
name: ${{ matrix.os }}-${{ matrix.profiler }}-${{ matrix.gcc }}-${{ matrix.python }}
runs-on: ${{ matrix.os }}
env:
VENV: "/home/runner/work/venv"
DLIO_PROFILER: ${{ matrix.profiler }}
CC: gcc-${{ matrix.gcc }}
CXX: g++-${{ matrix.gcc }}
RDMAV_FORK_SAFE: "1"
PYTHON_VER: ${{ matrix.python }}
DLIO_PROFILER_LOG_LEVEL: "INFO"
GOTCHA_DEBUG: 3
steps:
- name: Push checkout
if: github.event_name == 'push'
uses: actions/checkout@v3
- name: PR checkout
if: github.event_name == 'pull_request'
uses: actions/checkout@v3
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Set up Python ${{ matrix.python }}
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python }}
- name: Cache install modules
id: cache-modules
uses: actions/cache@v3
with:
path: ${{ env.VENV }}
key: ${{env.VENV }}-${{env.DLIO_PROFILER}}-${{ matrix.gcc }}-${{ matrix.python }}-${{ hashFiles('setup.py') }}
- name: Install System Tools
run: |
sudo apt update
sudo apt-get install $CC $CXX libc6
sudo apt-get install mpich
if [[ $DLIO_PROFILER == 'DLIO_PROFILER' ]]; then
sudo apt-get install libhwloc-dev
fi
- name: Install DLIO
if: steps.cache-modules.outputs.cache-hit != 'true'
run: |
echo "Profiler ${DLIO_PROFILER} gcc $CC"
python -m pip install --upgrade pip
pip install virtualenv
python -m venv ${VENV}
source ${VENV}/bin/activate
if [[ $DLIO_PROFILER == 'DLIO_PROFILER' ]]; then
pip install .[test,dlio_profiler]
else
pip install .[test]
fi
rm -rf dlio_benchmark
- name: test_gen_data
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_gen_data[png-tensorflow] -v
mpirun -np 2 pytest -k test_gen_data[npz-tensorflow] -v
mpirun -np 2 pytest -k test_gen_data[jpeg-tensorflow] -v
mpirun -np 2 pytest -k test_gen_data[tfrecord-tensorflow] -v
mpirun -np 2 pytest -k test_gen_data[hdf5-tensorflow] -v
- name: test_custom_storage_root_gen_data
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_storage_root_gen_data[png-tensorflow] -v
mpirun -np 2 pytest -k test_storage_root_gen_data[npz-tensorflow] -v
mpirun -np 2 pytest -k test_storage_root_gen_data[jpeg-tensorflow] -v
mpirun -np 2 pytest -k test_storage_root_gen_data[tfrecord-tensorflow] -v
mpirun -np 2 pytest -k test_storage_root_gen_data[hdf5-tensorflow] -v
- name: test_train
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_train[png-tensorflow-tensorflow] -v
mpirun -np 2 pytest -k test_train[npz-tensorflow-tensorflow] -v
mpirun -np 2 pytest -k test_train[jpeg-tensorflow-tensorflow] -v
mpirun -np 2 pytest -k test_train[tfrecord-tensorflow-tensorflow] -v
mpirun -np 2 pytest -k test_train[hdf5-tensorflow-tensorflow] -v
mpirun -np 2 pytest -k test_train[csv-tensorflow-tensorflow] -v
mpirun -np 2 pytest -k test_train[png-pytorch-pytorch] -v
mpirun -np 2 pytest -k test_train[npz-pytorch-pytorch] -v
mpirun -np 2 pytest -k test_train[jpeg-pytorch-pytorch] -v
mpirun -np 2 pytest -k test_train[hdf5-pytorch-pytorch] -v
mpirun -np 2 pytest -k test_train[csv-pytorch-pytorch] -v
mpirun -np 2 pytest -k test_train[png-tensorflow-dali] -v
mpirun -np 2 pytest -k test_train[npz-tensorflow-dali] -v
mpirun -np 2 pytest -k test_train[jpeg-tensorflow-dali] -v
mpirun -np 2 pytest -k test_train[hdf5-tensorflow-dali] -v
mpirun -np 2 pytest -k test_train[csv-tensorflow-dali] -v
mpirun -np 2 pytest -k test_train[png-pytorch-dali] -v
mpirun -np 2 pytest -k test_train[npz-pytorch-dali] -v
mpirun -np 2 pytest -k test_train[jpeg-pytorch-dali] -v
mpirun -np 2 pytest -k test_train[hdf5-pytorch-dali] -v
mpirun -np 2 pytest -k test_train[csv-pytorch-dali] -v
- name: test_custom_storage_root_train
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_custom_storage_root_train[png-tensorflow] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[npz-tensorflow] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[jpeg-tensorflow] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[tfrecord-tensorflow] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[hdf5-tensorflow] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[csv-tensorflow] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[png-pytorch] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[npz-pytorch] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[jpeg-pytorch] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[hdf5-pytorch] -v
mpirun -np 2 pytest -k test_custom_storage_root_train[csv-pytorch] -v
- name: test_checkpoint_epoch
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_checkpoint_epoch -v
- name: test_checkpoint_step
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_checkpoint_step -v
- name: test_eval
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_eval -v
- name: test_multi_threads
run: |
source ${VENV}/bin/activate
mpirun -np 2 pytest -k test_multi_threads[tensorflow-0] -v
mpirun -np 2 pytest -k test_multi_threads[tensorflow-1] -v
mpirun -np 2 pytest -k test_multi_threads[tensorflow-2] -v
mpirun -np 2 pytest -k test_multi_threads[pytorch-0] -v
mpirun -np 2 pytest -k test_multi_threads[pytorch-1] -v
mpirun -np 2 pytest -k test_multi_threads[pytorch-2] -v
- name: test-tf-loader-tfrecord
run: |
source ${VENV}/bin/activate
mpirun -np 2 dlio_benchmark workload=resnet50 ++workload.dataset.num_files_train=64 ++workload.workflow.train=False ++workload.workflow.generate_data=True ++workload.dataset.num_files_train=16 ++workload.dataset.num_samples_per_file=16
mpirun -np 2 dlio_benchmark workload=resnet50 ++workload.dataset.num_files_train=64 ++workload.workflow.train=True ++workload.workflow.generate_data=False ++workload.dataset.num_files_train=16 ++workload.dataset.num_samples_per_file=16
- name: test-torch-loader-npz
run: |
source ${VENV}/bin/activate
mpirun -np 2 dlio_benchmark workload=unet3d ++workload.train.computation_time=0.05 ++workload.evaluation.eval_time=0.01 ++workload.train.epochs=2 ++workload.workflow.train=False ++workload.workflow.generate_data=True ++workload.dataset.num_files_train=16 ++workload.dataset.num_files_eval=16 ++workload.reader.read_threads=2 ++workload.dataset.record_length=4096 ++workload.dataset.record_length_stdev=0
mpirun -np 2 dlio_benchmark workload=unet3d ++workload.train.computation_time=0.05 ++workload.evaluation.eval_time=0.01 ++workload.train.epochs=2 ++workload.workflow.train=True ++workload.workflow.generate_data=False ++workload.dataset.num_files_train=16 ++workload.dataset.num_files_eval=16 ++workload.reader.read_threads=2 ++workload.dataset.record_length=4096 ++workload.dataset.record_length_stdev=0
- name: test-tf-loader-npz
run: |
source ${VENV}/bin/activate
mpirun -np 2 dlio_benchmark workload=unet3d ++workload.framework=tensorflow ++workload.data_reader.data_loader=tensorflow ++workload.train.computation_time=0.05 ++workload.evaluation.eval_time=0.01 ++workload.train.epochs=2 ++workload.workflow.train=False ++workload.workflow.generate_data=True ++workload.dataset.num_files_train=16 ++workload.dataset.num_files_eval=16 ++workload.reader.read_threads=2 ++workload.dataset.record_length=4096 ++workload.dataset.record_length_stdev=0
mpirun -np 2 dlio_benchmark workload=unet3d ++workload.framework=tensorflow ++workload.data_reader.data_loader=tensorflow ++workload.train.computation_time=0.05 ++workload.evaluation.eval_time=0.01 ++workload.train.epochs=2 ++workload.workflow.train=True ++workload.workflow.generate_data=False ++workload.dataset.num_files_train=16 ++workload.dataset.num_files_eval=16 ++workload.reader.read_threads=2 ++workload.dataset.record_length=4096 ++workload.dataset.record_length_stdev=0
- name: test_subset
run: |
source ${VENV}/bin/activate
mpirun -np 2 dlio_benchmark ++workload.workflow.generate_data=True ++workload.workflow.train=False
mpirun -np 2 dlio_benchmark ++workload.workflow.generate_data=False ++workload.workflow.train=True ++workload.dataset.num_files_train=8