Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

1.2.1 patch release (#6206)

Browse Source 
* Hide C++ symbols from dmlc-core (#6188)

* Up version to 1.2.1

* Fix lint

* [CI] Fix Docker build for CUDA 11 (#6202)

* Update Dockerfile.gpu
This commit is contained in:
Philip Hyunsu Cho
2020-10-12 15:10:16 -07:00
committed by GitHub
parent 0cd0dad0b5
commit bcb15a980f
11 changed files with 38 additions and 36 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
tests/ci_build/Dockerfile.clang_tidy
View File

@@ -1,5 +1,6 @@
ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-ubuntu18.04
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-ubuntu18.04
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive

7
tests/ci_build/Dockerfile.gpu
View File

@@ -1,5 +1,6 @@
ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-runtime-ubuntu16.04
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-runtime-ubuntu16.04
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
@@ -18,7 +19,7 @@ ENV PATH=/opt/python/bin:$PATH
# Create new Conda environment with cuDF, Dask, and cuPy
RUN \
conda create -n gpu_test -c rapidsai-nightly -c rapidsai -c nvidia -c conda-forge -c defaults \
python=3.7 cudf=0.15* cudatoolkit=$CUDA_VERSION dask dask-cuda dask-cudf cupy \
python=3.7 cudf=0.15* cudatoolkit=$CUDA_VERSION_ARG dask dask-cuda dask-cudf cupy \
numpy pytest scipy scikit-learn pandas matplotlib wheel python-kubernetes urllib3 graphviz hypothesis
ENV GOSU_VERSION 1.10

8
tests/ci_build/Dockerfile.gpu_build
View File

@@ -1,6 +1,6 @@
ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-ubuntu16.04
ARG CUDA_VERSION
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-ubuntu16.04
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
@@ -19,7 +19,7 @@ RUN \
# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | egrep -o '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.7.5-1 && \
apt-get update && \
apt-get install -y --allow-downgrades --allow-change-held-packages libnccl2=${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-dev=${NCCL_VERSION}+cuda${CUDA_SHORT}

8
tests/ci_build/Dockerfile.gpu_build_centos6
View File

@@ -1,6 +1,6 @@
ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-centos6
ARG CUDA_VERSION
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos6
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
@@ -33,7 +33,7 @@ RUN \
# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | egrep -o '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.4.8-1 && \
wget https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
rpm -i nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \

5
tests/ci_build/Dockerfile.gpu_jvm
View File

@@ -1,5 +1,6 @@
ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-runtime-ubuntu16.04
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-runtime-ubuntu16.04
ARG CUDA_VERSION_ARG
ARG JDK_VERSION=8
ARG SPARK_VERSION=3.0.0

8
tests/ci_build/Dockerfile.jvm_gpu_build
View File

@@ -1,6 +1,6 @@
ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-centos6
ARG CUDA_VERSION
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos6
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
@@ -30,7 +30,7 @@ RUN \
# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | egrep -o '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.4.8-1 && \
wget https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
rpm -i nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \