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2024-10-10 nightly release (669a5eb7caac7b181a193ad39ab1d8e02b3f1a8b) #1598

2024-10-10 nightly release (669a5eb7caac7b181a193ad39ab1d8e02b3f1a8b)

2024-10-10 nightly release (669a5eb7caac7b181a193ad39ab1d8e02b3f1a8b) #1598

Workflow file for this run

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: Unit Test CI
on:
push:
branches:
- nightly
workflow_dispatch:
jobs:
build_test:
strategy:
fail-fast: false
matrix:
include:
- os: linux.g5.12xlarge.nvidia.gpu
python-version: 3.9
python-tag: "py39"
cuda-tag: "cu118"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: 3.9
python-tag: "py39"
cuda-tag: "cu121"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.10'
python-tag: "py310"
cuda-tag: "cu118"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.10'
python-tag: "py310"
cuda-tag: "cu121"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.11'
python-tag: "py311"
cuda-tag: "cu118"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.11'
python-tag: "py311"
cuda-tag: "cu121"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.12'
python-tag: "py312"
cuda-tag: "cu118"
- os: linux.g5.12xlarge.nvidia.gpu
python-version: '3.12'
python-tag: "py312"
cuda-tag: "cu121"
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
with:
runner: ${{ matrix.os }}
timeout: 30
script: |
ldd --version
conda create -y --name build_binary python=${{ matrix.python-version }}
conda info
python --version
conda run -n build_binary python --version
conda install -n build_binary \
--yes \
pytorch pytorch-cuda=11.8 -c pytorch-nightly -c nvidia
conda run -n build_binary \
python -c "import torch.distributed"
conda run -n build_binary \
pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/nightly/cu118
conda run -n build_binary \
python -c "import fbgemm_gpu"
echo "fbgemm_gpu succeeded"
conda run -n build_binary \
pip install -r requirements.txt
conda run -n build_binary \
python setup.py bdist_wheel \
--python-tag=${{ matrix.python-tag }}
conda run -n build_binary \
python -c "import torchrec"
echo "torch.distributed succeeded"
conda run -n build_binary \
python -c "import numpy"
echo "numpy succeeded"
conda install -n build_binary -y pytest
conda run -n build_binary \
python -m pytest torchrec -v -s -W ignore::pytest.PytestCollectionWarning --continue-on-collection-errors \
--ignore=torchrec/distributed/tests/test_comm.py --ignore=torchrec/distributed/tests/test_infer_shardings.py \
--ignore=torchrec/distributed/tests/test_keyed_jagged_tensor_pool.py --ignore=torchrec/distributed/tests/test_pt2_multiprocess.py \
--ignore=torchrec/distributed/tests/test_pt2.py --ignore=torchrec/distributed/tests/test_quant_model_parallel.py \
--ignore=torchrec/distributed/tests/test_quant_pruning.py --ignore=torchrec/distributed/tests/test_quant_sequence_model_parallel.py \
--ignore-glob='torchrec/metrics/*' --ignore-glob='torchrec/distributed/tests/test_model_parallel_gloo*' \
--ignore-glob='torchrec/inference/inference_legacy/tests*' --ignore-glob='*test_model_parallel_nccl*' \
--ignore=torchrec/distributed/tests/test_cache_prefetch.py --ignore=torchrec/distributed/tests/test_fp_embeddingbag_single_rank.py \
--ignore=torchrec/distributed/tests/test_infer_utils.py --ignore=torchrec/distributed/tests/test_fx_jit.py --ignore-glob=**/test_utils/ \
--ignore-glob='*test_train_pipeline*' --ignore=torchrec/distributed/tests/test_model_parallel_hierarchical.py