[P0] Verify the clang++ version used in the test #18

.github/docker/Dockerfile

@@ -0,0 +1,58 @@
+FROM ubuntu:22.04
+
+SHELL ["/bin/bash", "-c"]
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update \
+	&& apt install software-properties-common -y \
+	&& add-apt-repository ppa:deadsnakes/ppa -y \
+        && apt update \
+        && apt install python3.12 -y \
+	&& apt-get install ninja-build -y \
+	&& apt-get install ccache -y \
+	&& apt-get install lld -y \
+	&& apt-get -y install cmake -y \
+	&& apt-get install -y clang \
+	&& apt-get -y install git \
+	&& mkdir /cgra \
+    	&& cd /cgra \
+	&& git clone https://github.com/yuqisun/dataflow.git \
+	&& cd dataflow \
+	&& until git clone --depth 1 --branch release/19.x https://github.com/llvm/llvm-project.git; do sleep 5; done \
+	&& cd llvm-project \
+	&& git checkout release/19.x \
+	&& mkdir build && cd build \
+	&& cmake -G Ninja ../llvm \
+          -DLLVM_ENABLE_PROJECTS="mlir" \
+          -DLLVM_BUILD_EXAMPLES=OFF \
+          -DLLVM_TARGETS_TO_BUILD="Native" \
+          -DCMAKE_BUILD_TYPE=Release \
+          -DLLVM_ENABLE_ASSERTIONS=ON \
+          -DCMAKE_C_COMPILER=clang \
+          -DCMAKE_CXX_COMPILER=clang++ \
+          -DCMAKE_CXX_STANDARD=17 \
+          -DCMAKE_CXX_FLAGS="-std=c++17 -frtti" \
+          -DLLVM_ENABLE_LLD=ON \
+          -DMLIR_INSTALL_AGGREGATE_OBJECTS=ON \
+          -DLLVM_ENABLE_RTTI=ON \
+          -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
+          -DCMAKE_C_COMPILER_LAUNCHER=ccache \
+          -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
+	&& cmake --build . --target check-mlir \
+	&& dpkg -l | grep llvm \
+	&& cd /cgra/dataflow \
+	&& mkdir build && cd build \
+	&& cmake -G Ninja .. \
+          -DLLVM_DIR=/cgra/dataflow/llvm-project/build/lib/cmake/llvm \
+          -DMLIR_DIR=/cgra/dataflow/llvm-project/build/lib/cmake/mlir \
+          -DMLIR_SOURCE_DIR=/cgra/dataflow/llvm-project/mlir \
+          -DMLIR_BINARY_DIR=/cgra/dataflow/llvm-project/build \
+          -DCMAKE_CXX_FLAGS="-std=c++17" \
+	&& ninja \
+	&& cd /cgra/dataflow/test \
+	&& /cgra/dataflow/llvm-project/build/bin/llvm-lit * -v
+
+CMD ["tail", "-f", "/dev/null"]
+
+

.github/workflows/main.yml

@@ -34,13 +34,16 @@ jobs:
         sudo apt-get install ccache
         sudo apt-get install lld
 
+    # install clang for LLVM build
+    - name: install clang
+      run: sudo apt-get install -y clang
+
     # setup LLVM
     - name: install a specific version of LLVM
       working-directory: ${{github.workspace}}
       run: |
-        git clone https://github.com/llvm/llvm-project.git
+        git clone --depth 1 --branch release/19.x https://github.com/llvm/llvm-project.git
         cd llvm-project
-        git checkout cd70802
         mkdir build && cd build
         cmake -G Ninja ../llvm \
           -DLLVM_ENABLE_PROJECTS="mlir" \
@@ -55,10 +58,14 @@ jobs:
           -DLLVM_ENABLE_LLD=ON \
           -DMLIR_INSTALL_AGGREGATE_OBJECTS=ON \
           -DLLVM_ENABLE_RTTI=ON \
+          -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
           -DCMAKE_C_COMPILER_LAUNCHER=ccache \
           -DCMAKE_CXX_COMPILER_LAUNCHER=ccache
 
         cmake --build . --target check-mlir
+        dpkg -l | grep llvm
+        sudo apt-get purge llvm-13
+        sudo apt-get purge llvm-15
 
     # setup mlir-cgra
     - name: setup dataflow tool-chain

README.md

@@ -54,3 +54,16 @@ Build LLVM & Neura
  $ /workspace/llvm-project/build/bin/llvm-lit *
 ```
 
+Docker-based Environment Setup
+--------------------------------------------------------
+You can quickly set up the build and test environment using the provided Dockerfile:
+
+```sh
+# In the root directory of this repo:
+$ cd docker
+$ docker build -t neura:v1 .
+$ docker run --name myneura -it neura:v1
+```
+
+This will automatically clone, build, and test LLVM/MLIR and Neura inside a container, ensuring a consistent environment.
+