Compile and install triton main branch in the docker. (#7)

Author: xuzhao9

.ci/tritonbench/install-triton-nightly.sh .ci/tritonbench/install-triton-main.sh

@@ -23,5 +23,10 @@ conda create --name "${CONDA_ENV}" -y --clone "${BASE_CONDA_ENV}"
 conda activate "${CONDA_ENV}"
 
 . "${SETUP_SCRIPT}"
-# Install the nightly openai/triton
-pip install -U --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ triton-nightly
+
+# Install and build triton from source code
+cd /workspace
+git clone https://github.com/triton-lang/triton.git
+cd /workspace/triton
+pip install ninja cmake wheel pybind11; # build-time dependencies
+pip install -e python

docker/tritonbench-nightly.dockerfile

@@ -3,7 +3,8 @@ ARG BASE_IMAGE=xzhao9/gcp-a100-runner-dind:latest
 
 FROM ${BASE_IMAGE}
 
-ENV CONDA_ENV=tritonbench
+ENV CONDA_ENV=pytorch
+ENV CONDA_ENV_TRITON_MAIN=triton-main
 ENV SETUP_SCRIPT=/workspace/setup_instance.sh
 ARG TRITONBENCH_BRANCH=${TRITONBENCH_BRANCH:-main}
 ARG FORCE_DATE=${FORCE_DATE}
@@ -49,9 +50,14 @@ RUN sudo apt update && sudo apt-get install -y libnvidia-compute-550 patchelf
 RUN cd /workspace/tritonbench && \
     bash .ci/tritonbench/install.sh
 
+
 # Test Tritonbench
 RUN cd /workspace/tritonbench && \
     bash .ci/tritonbench/test-install.sh
 
 # Remove NVIDIA driver library - they are supposed to be mapped at runtime
 RUN sudo apt-get purge -y libnvidia-compute-550
+
+# Clone the pytorch env as triton-main env, then compile triton main from source
+RUN cd /workspace/tritonbench && \
+    BASE_CONDA_ENV=${CONDA_ENV} CONDA_ENV=${CONDA_ENV_TRITON_MAIN} bash .ci/tritonbench/install-triton-main.sh