ci: Fixes for pre-built wheels (#214)

* build: Allow NGC builds

Signed-off-by: oliver könig <okoenig@nvidia.com>

* reduce grid

Signed-off-by: oliver könig <okoenig@nvidia.com>

* update grid

Signed-off-by: oliver könig <okoenig@nvidia.com>

* fix

Signed-off-by: oliver könig <okoenig@nvidia.com>

* upgrade cuda action

Signed-off-by: oliver könig <okoenig@nvidia.com>

* remove test

Signed-off-by: oliver könig <okoenig@nvidia.com>

* py3.8

Signed-off-by: oliver könig <okoenig@nvidia.com>

* fix

Signed-off-by: oliver könig <okoenig@nvidia.com>

* exclude

Signed-off-by: oliver könig <okoenig@nvidia.com>

* fix

Signed-off-by: oliver könig <okoenig@nvidia.com>

* torch-version

Signed-off-by: oliver könig <okoenig@nvidia.com>

* py3.8/torch2.1/cuda12.3

Signed-off-by: oliver könig <okoenig@nvidia.com>

* Update publish.yml

* fix grid

Signed-off-by: oliver könig <okoenig@nvidia.com>

* fix

Signed-off-by: oliver könig <okoenig@nvidia.com>

* cuda11.8

Signed-off-by: oliver könig <okoenig@nvidia.com>

* no hopper for 118

Signed-off-by: oliver könig <okoenig@nvidia.com>

* fix

Signed-off-by: oliver könig <okoenig@nvidia.com>

* fix

Signed-off-by: oliver könig <okoenig@nvidia.com>

---------

Signed-off-by: oliver könig <okoenig@nvidia.com>
This commit is contained in:
oliver könig
2025-10-14 07:05:47 +02:00
committed by GitHub
parent f8f41145da
commit 93b3c28fa8
8 changed files with 337 additions and 34 deletions

31
.github/scripts/build.sh vendored Normal file
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#!/bin/bash
set -eoxu pipefail
# We want setuptools >= 49.6.0 otherwise we can't compile the extension if system CUDA version is 11.7 and pytorch cuda version is 11.6
# https://github.com/pytorch/pytorch/blob/664058fa83f1d8eede5d66418abff6e20bd76ca8/torch/utils/cpp_extension.py#L810
# However this still fails so I am using a newer version of setuptools
pip install setuptools==68.0.0
pip install ninja packaging wheel
export PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH
export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
# Limit MAX_JOBS otherwise the github runner goes OOM
export MAX_JOBS=$([ "$MATRIX_CUDA_VERSION" == "129" ] && echo 1 || echo 2)
export NVCC_THREADS=2
export TORCH_CUDA_ARCH_LIST="7.0 7.2 7.5 8.0 8.6 8.7 9.0+PTX"
export DG_USE_LOCAL_VERSION=${DG_USE_LOCAL_VERSION:-0}
# 5h timeout since GH allows max 6h and we want some buffer
EXIT_CODE=0
timeout 5h python setup.py bdist_wheel --dist-dir=dist || EXIT_CODE=$?
if [ $EXIT_CODE -eq 0 ]; then
tmpname=cu${WHEEL_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi$CXX11_ABI
wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2")
ls dist/*whl |xargs -I {} mv {} dist/${wheel_name}
echo "wheel_name=${wheel_name}" >> $GITHUB_ENV
fi
echo $EXIT_CODE

65
.github/scripts/check_for_ngc_images.sh vendored Normal file
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#!/bin/bash
# Configuration
BASE_IMAGE="nvcr.io/nvidia/pytorch"
TAG_SUFFIX="-py3"
MONTHS_TO_CHECK=7 # Check current month and previous 6 months (total 7)
# Initialize an array to store existing tags
EXISTING_TAGS=()
echo "Checking for existence of the last ${MONTHS_TO_CHECK} NGC PyTorch images: ${BASE_IMAGE}:YY.MM${TAG_SUFFIX}"
echo "---------------------------------------------------------------------"
# Loop through the last N months
for i in $(seq 0 $((MONTHS_TO_CHECK - 1))); do
# Calculate Year and Month for the tag
CURRENT_YEAR=$(date +%Y)
CURRENT_MONTH=$(date +%m)
# Calculate target month and year
TARGET_DATE=$(date -d "$CURRENT_YEAR-$CURRENT_MONTH-01 -$i months" +%y.%m)
# Construct the full image tag and the tag-only string
IMAGE_TAG="${TARGET_DATE}${TAG_SUFFIX}"
FULL_IMAGE="${BASE_IMAGE}:${IMAGE_TAG}"
echo "Checking: ${FULL_IMAGE}"
# Use 'docker manifest inspect' to check for image existence without pulling.
if docker manifest inspect "${FULL_IMAGE}" > /dev/null 2>&1; then
echo "✅ EXISTS: Found."
# Add the tag-only string to the array
EXISTING_TAGS+=("nvcr.io/nvidia/pytorch:${IMAGE_TAG}")
else
echo "❌ MISSING: Not found."
fi
done
echo "---------------------------------------------------------------------"
## JSON Output Generation
# This uses the collected array to build a JSON string.
# 1. Convert the shell array to a newline-separated string.
TAGS_NL_SEP=$(printf "%s\n" "${EXISTING_TAGS[@]}")
# 2. Use jq to read the newline-separated list and format it into a JSON array.
# . | split("\n") | .[:-1] reads the input, splits it by newline, and removes the trailing empty element.
if command -v jq &> /dev/null; then
JSON_STRING=$(echo -e "${TAGS_NL_SEP}" | jq -R -s 'split("\n") | .[:-1]')
echo "Generated JSON String of Existing Tags:"
echo "${JSON_STRING}"
# Optional: Save the JSON string to a variable for further use
# echo "JSON_STRING is now available in the shell if you source this script."
else
echo "WARNING: 'jq' is not installed. Cannot format output as JSON."
echo "Found Tags: ${EXISTING_TAGS[*]}"
fi
echo "---"
echo "Check complete."
echo "${JSON_STRING}" > ngc_images.json

6
.github/scripts/test.sh vendored Normal file
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#!/bin/bash
set -exou pipefail
pip install dist/*.whl
python -c "import deep_gemm; print(deep_gemm.__version__)"