Dockerize and Cache Bazel {Local, CI} Builds (#1240)

This PR adds:

- A minimal docker wrapper to the bazel GHA workflow to make it reproducible locally
- Bazel cache to speed up GHA workflows (down to ~5 minutes from ~40+minutes)

This is a no-op for non-bazel workflows and an incremental improvement.
pull/1241/head
Sambhav Jain 2022-08-17 12:46:17 -07:00 committed by GitHub
parent 9be8997536
commit 9c8b962720
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6 changed files with 83 additions and 17 deletions

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@ -20,20 +20,38 @@ jobs:
runs-on: ubuntu-22.04
steps:
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: 3.9
- name: Checkout torch-mlir
uses: actions/checkout@v2
uses: actions/checkout@v3
with:
submodules: 'true'
- name: Build with bazel
- name: Setup cache for bazel
uses: actions/cache@v3
with:
path: ~/.cache/bazel
key: ubuntu_x86_64_torch_mlir_bazel_build_cache
- name: Set bazel cache permissions
run: |
cd $GITHUB_WORKSPACE/utils/bazel
bazel build @torch-mlir//...
sudo chown -R root:root "${HOME}/.cache/bazel"
- name: Build docker image
run: |
docker build -f utils/bazel/docker/Dockerfile \
-t torch-mlir:ci \
.
- name: Bazel build torch-mlir
run: |
docker run --rm \
-v "$(pwd)":"/opt/src/torch-mlir" \
-v "${HOME}/.cache/bazel":"/root/.cache/bazel" \
torch-mlir:ci \
./utils/bazel/docker/run_bazel_build.sh
- name: Switch bazel cache permissions
run: |
sudo chown -R "$USER":"$USER" "${HOME}/.cache/bazel"
- name: Send mail
if: failure()

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@ -175,14 +175,15 @@ manually `source`'d in a shell.
Torch-MLIR can also be built using Bazel (apart from the official CMake build) for users that depend on Bazel in their workflows. To build `torch-mlir-opt` using Bazel, follow these steps:
1. Install [Bazel](https://docs.bazel.build/versions/main/install.html) if you don't already have it
2. Install a relatively new release of [Clang](https://releases.llvm.org/download.html)
3. Build:
1. Launch an interactive docker container with the required deps installed:
```shell
cd utils/bazel
bazel build @torch-mlir//...
./utils/bazel/docker/run_docker.sh
```
4. Find the built binary at `bazel-bin/external/torch-mlir/torch-mlir-opt`.
2. Build torch-mlir using bazel (from container):
```shell
./utils/bazel/docker/run_bazel_build.sh
```
3. Find the built binary at `utils/bazel/bazel-bin/external/torch-mlir/torch-mlir-opt`.
# Testing

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@ -0,0 +1,34 @@
ARG BASE_IMG=ubuntu:18.04
FROM ${BASE_IMG} as dev-base
ARG ARCH="x86_64"
ARG BAZEL_VERSION=5.2.0
# Install basic packages
RUN apt-get update && \
apt-get install -y \
clang-10 \
curl \
git \
python3-pip \
python3.8 \
python3.8-dev \
wget \
unzip
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.8 10
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 10
RUN update-alternatives --install /usr/bin/clang clang /usr/bin/clang-10 10
RUN update-alternatives --install /usr/bin/clang++ clang++ /usr/bin/clang++-10 10
# Install bazel
RUN wget -q https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel-${BAZEL_VERSION}-linux-${ARCH} -O /usr/bin/bazel \
&& chmod a+x /usr/bin/bazel
COPY requirements.txt /opt/app/requirements.txt
WORKDIR /opt/app
RUN python -m pip install --upgrade pip
RUN python -m pip install --ignore-installed -r requirements.txt
WORKDIR /opt/src/torch-mlir

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@ -0,0 +1,3 @@
#!/usr/bin/env bash
cd "$(pwd)/utils/bazel" && bazel build @torch-mlir//...

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@ -0,0 +1,10 @@
#!/usr/bin/env bash
docker build -f utils/bazel/docker/Dockerfile \
-t torch-mlir:dev \
.
docker run -it \
-v "$(pwd)":"/opt/src/torch-mlir" \
-v "${HOME}/.cache/bazel":"/root/.cache/bazel" \
torch-mlir:dev