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[Blas] copy functionality for signed int8 data type #66

[Blas] copy functionality for signed int8 data type

[Blas] copy functionality for signed int8 data type #66

Workflow file for this run

# For most projects, this workflow file will not need changing; you simply need
# to commit it to your repository.
#
# You may wish to alter this file to override the set of languages analyzed,
# or to provide custom queries or build logic.
#
# ******** NOTE ********
# We have attempted to detect the languages in your repository. Please check
# the `language` matrix defined below to confirm you have the correct set of
# supported CodeQL languages.
#
name: "CodeQL Advanced"
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
schedule:
- cron: '34 18 * * 5'
jobs:
analyze:
name: Analyze (${{ matrix.language }})
# Runner size impacts CodeQL analysis time. To learn more, please see:
# - https://gh.io/recommended-hardware-resources-for-running-codeql
# - https://gh.io/supported-runners-and-hardware-resources
# - https://gh.io/using-larger-runners (GitHub.com only)
# Consider using larger runners or machines with greater resources for possible analysis time improvements.
runs-on: ${{ 'ubuntu-22.04' }}
permissions:
# required for all workflows
security-events: write
# required to fetch internal or private CodeQL packs
packages: read
# only required for workflows in private repositories
actions: read
contents: read
strategy:
fail-fast: false
matrix:
include:
- language: c-cpp
build-mode: manual
- language: python
build-mode: none
# CodeQL supports the following values keywords for 'language': 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift'
# Use `c-cpp` to analyze code written in C, C++ or both
# Use 'java-kotlin' to analyze code written in Java, Kotlin or both
# Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
# To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
# see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
# If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
steps:
- name: Checkout repository
uses: actions/checkout@v4
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v3
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
# If you wish to specify custom queries, you can do so here or in a config file.
# By default, queries listed here will override any specified in a config file.
# Prefix the list here with "+" to use these queries and those in the config file.
# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality
# If the analyze step fails for one of the languages you are analyzing with
# "We were unable to automatically build your code", modify the matrix above
# to set the build mode to "manual" for that language. Then modify this step
# to build your code.
# ℹ️ Command-line programs to run using the OS shell.
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
- if: matrix.build-mode == 'manual'
shell: bash
run: |
sudo add-apt-repository -y ppa:nnstreamer/ppa && sudo apt-get update
sudo apt-get update && sudo apt-get install -y gcc g++ pkg-config libopenblas-dev libiniparser-dev libjsoncpp-dev libcurl3-dev tensorflow2-lite-dev nnstreamer-dev libglib2.0-dev libgstreamer1.0-dev libgtest-dev ml-api-common-dev flatbuffers-compiler ml-inference-api-dev libunwind-dev
sudo apt-get install -y python3-dev python3-numpy python3
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get install build-essential
sudo apt update
sudo apt install -y gcc-13
sudo apt install -y g++-13
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-13 1000
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-13 1000
sudo update-alternatives --set gcc /usr/bin/gcc-13
pip install meson ninja
meson setup \
--buildtype=plain \
--prefix=/usr \
--sysconfdir=/etc \
--libdir=lib/x86_64-linux-gnu \
--bindir=lib/nntrainer/bin \
--includedir=include \
-Dinstall-app=true \
-Dreduce-tolerance=false \
-Denable-debug=true \
-Dml-api-support=enabled \
-Denable-nnstreamer-tensor-filter=enabled \
-Denable-nnstreamer-tensor-trainer=enabled \
-Denable-nnstreamer-backbone=true \
-Dcapi-ml-common-actual=capi-ml-common \
-Dcapi-ml-inference-actual=capi-ml-inference \
-Denable-capi=enabled \
build/
meson compile -C build/
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v3
with:
category: "/language:${{matrix.language}}"