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.github/workflows/windows-trt.yml: upgrade to trt 10 #19

.github/workflows/windows-trt.yml: upgrade to trt 10

.github/workflows/windows-trt.yml: upgrade to trt 10 #19

Workflow file for this run

name: Build (Linux-TRT)
on:
push:
paths:
- 'vstrt/**'
- '.github/workflows/linux-trt.yml'
workflow_dispatch:
jobs:
build-linux:
runs-on: ubuntu-22.04
defaults:
run:
working-directory: vstrt
steps:
- name: Checkout repo
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Setup Ninja
run: pip install ninja
- name: Download VapourSynth headers
run: |
wget -q -O vs.zip https://github.com/vapoursynth/vapoursynth/archive/refs/tags/R57.zip
unzip -q vs.zip
mv vapoursynth*/ vapoursynth
- name: Setup CUDA and TensorRT
run: |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get install -y cuda-nvcc-12-4 cuda-cudart-dev-12-4 libnvinfer-dev=10.0.0.6-1+cuda12.4
echo "PATH=/usr/local/cuda/bin${PATH:+:${PATH}}" >> $GITHUB_ENV
echo "CUDA_PATH=/usr/local/cuda" >> $GITHUB_ENV
echo "LD_LIBRARY_PATH=/usr/local/cuda/lib${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}" >> $GITHUB_ENV
- name: Setup tensorrt
run: |
curl -L -o trt.tar.gz https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/9.3.0/tensorrt-9.3.0.1.linux.x86_64-gnu.cuda-12.2.tar.gz
tar -xf trt.tar.gz
- name: Configure
run: cmake -S . -B build -G Ninja -LA
-D CMAKE_BUILD_TYPE=Release
-D VAPOURSYNTH_INCLUDE_DIRECTORY="`pwd`/vapoursynth/include"
-D CMAKE_CXX_COMPILER=g++-12
-D CMAKE_CXX_FLAGS="-Wall -ffast-math -march=x86-64-v3"
-D TENSORRT_HOME="`pwd`/TensorRT-9.3.0.1"
- name: Build
run: cmake --build build --verbose
- name: Install
run: cmake --install build --prefix install
- name: Prepare for upload
run: |
mkdir artifact
cp -v install/lib/*.so artifact
- name: Describe
run: git describe --tags --long
- name: Upload
uses: actions/upload-artifact@v4
with:
name: VSTRT-Linux-x64
path: vstrt/artifact
overwrite: true