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Define GmemTiledCopyA/B as TiledCopy in CollectiveMma<IntelPVC,... #526

Define GmemTiledCopyA/B as TiledCopy in CollectiveMma<IntelPVC,...

Define GmemTiledCopyA/B as TiledCopy in CollectiveMma<IntelPVC,... #526

Workflow file for this run

name: "CodeQL"
on:
push:
branches: [ "sycl-develop" ]
pull_request:
branches: [ "sycl-develop" ]
schedule:
- cron: '23 5 * * 5'
permissions: {}
jobs:
analyze:
name: Analyze (${{ matrix.language }})
runs-on: ubuntu-latest
timeout-minutes: 360
permissions:
# required for all workflows
security-events: write
# required to fetch internal or private CodeQL packs
packages: read
strategy:
fail-fast: false
matrix:
include:
- language: c-cpp
build-mode: manual
- language: python
build-mode: none
container:
image: nvidia/cuda:12.4.1-devel-ubuntu22.04
steps:
- name: Checkout repository
uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@2e230e8fe0ad3a14a340ad0815ddb96d599d2aff # v3.25.8
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
- name: Install dependencies
if: matrix.build-mode == 'none'
shell: bash
run: |
apt update && apt install -y python3
# For a specific DPC++ nightly build define the repository variable DPCPP_VERSION
# for example using the tag: 'nightly-2024-04-22'
- name: Build
if: matrix.build-mode == 'manual'
shell: bash
run: |
apt update && apt install -y cmake curl git jq libstdc++-12-dev ninja-build python3 wget && \
pushd /usr/local && \
echo "Will use DPCPP $DPCPP_VERSION."
if [[ "$DPCPP_VERSION" != "" ]]; then \
echo "Downloading DPCPP from https://github.com/intel/llvm/releases/download/$DPCPP_VERSION/sycl_linux.tar.gz"; \
wget -q https://github.com/intel/llvm/releases/download/$DPCPP_VERSION/sycl_linux.tar.gz; \
else
latest=$(curl -sS https://api.github.com/repos/intel/llvm/releases | jq -r '[.[].tag_name|select(match("nightly-[0-9]{4}-[0-9]{2}-[0-9]{2}"))][0]') && \
echo "Downloading DPCPP from https://github.com/intel/llvm/releases/download/${latest}/sycl_linux.tar.gz"; \
wget -q https://github.com/intel/llvm/releases/download/${latest}/sycl_linux.tar.gz; \
fi && \
tar -xf sycl_linux.tar.gz && \
export PATH=/usr/local/bin/:$PATH && \
export C_INCLUDE_PATH=/usr/local/include/:$C_INCLUDE_PATH && \
export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH && \
export CC=clang && \
export CXX=clang++ && \
popd && \
clang++ --version && \
cmake -G Ninja \
-DCMAKE_CUDA_HOST_COMPILER=clang++ \
-DCUTLASS_ENABLE_SYCL=ON \
-DDPCPP_SYCL_TARGET=nvptx64-nvidia-cuda \
-DDPCPP_SYCL_ARCH=sm_80 && \
cmake --build .
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@2e230e8fe0ad3a14a340ad0815ddb96d599d2aff # v3.25.8
with:
category: "/language:${{matrix.language}}"