diff --git a/cd/utils/artifact_repository.md b/cd/utils/artifact_repository.md index 8662bb7dd0bb..9de806eb6edf 100644 --- a/cd/utils/artifact_repository.md +++ b/cd/utils/artifact_repository.md @@ -17,7 +17,7 @@ # Artifact Repository - Pushing and Pulling libmxnet -The artifact repository is an S3 bucket accessible only to restricted Jenkins nodes. It is used to store compiled MXNet artifacts that can be used by downstream CD pipelines to package the compiled libraries for different delivery channels (e.g. DockerHub, PyPI, Maven, etc.). The S3 object keys for the files being posted will be prefixed with the following distinguishing characteristics of the binary: branch, commit id, operating system, variant and dependency linking strategy (static or dynamic). For instance, s3://bucket/73b29fa90d3eac0b1fae403b7583fdd1529942dc/ubuntu16.04/cu100mkl/static/libmxnet.so +The artifact repository is an S3 bucket accessible only to restricted Jenkins nodes. It is used to store compiled MXNet artifacts that can be used by downstream CD pipelines to package the compiled libraries for different delivery channels (e.g. DockerHub, PyPI, Maven, etc.). The S3 object keys for the files being posted will be prefixed with the following distinguishing characteristics of the binary: branch, commit id, operating system, variant and dependency linking strategy (static or dynamic). For instance, s3://bucket/73b29fa90d3eac0b1fae403b7583fdd1529942dc/ubuntu16.04/cu100/static/libmxnet.so An MXNet artifact is defined as the following set of files: diff --git a/make/staticbuild/linux_cu92.mk b/make/staticbuild/linux_cu112.mk similarity index 99% rename from make/staticbuild/linux_cu92.mk rename to make/staticbuild/linux_cu112.mk index bbaa4bfcd772..874e1576d34f 100644 --- a/make/staticbuild/linux_cu92.mk +++ b/make/staticbuild/linux_cu112.mk @@ -66,7 +66,7 @@ USE_CUDA = 1 # add the path to CUDA library to link and compile flag # if you have already add them to environment variable, leave it as NONE # USE_CUDA_PATH = /usr/local/cuda -USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.2 +USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-11.2 # whether to use CuDNN library USE_CUDNN = 1 @@ -170,3 +170,4 @@ EXTRA_OPERATORS = # git@github.com:dato-code/SFrame.git # SFRAME_PATH = $(HOME)/SFrame # MXNET_PLUGINS += plugin/sframe/plugin.mk + diff --git a/make/staticbuild/linux_cu75.mk b/make/staticbuild/linux_cu75.mk deleted file mode 100644 index e263794600df..000000000000 --- a/make/staticbuild/linux_cu75.mk +++ /dev/null @@ -1,167 +0,0 @@ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# -#------------------------------------------------------------------------------- -# Template configuration for compiling mxnet for making python wheel -#------------------------------------------------------------------------------- - -#--------------------- -# choice of compiler -#-------------------- - -export CC = gcc -export CXX = g++ -export NVCC = nvcc - -# whether compile with options for MXNet developer -DEV = 0 - -# whether compile with debug -DEBUG = 0 - -# whether to turn on signal handler (e.g. segfault logger) -USE_SIGNAL_HANDLER = 1 - -# the additional link flags you want to add -ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections - -# the additional compile flags you want to add -ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections - -#--------------------------------------------- -# matrix computation libraries for CPU/GPU -#--------------------------------------------- - -# choose the version of blas you want to use -# can be: mkl, blas, atlas, openblas -# in default use atlas for linux while apple for osx -USE_BLAS=openblas - -# whether use opencv during compilation -# you can disable it, however, you will not able to use -# imbin iterator -USE_OPENCV = 1 -# Add OpenCV include path, in which the directory `opencv2` exists -USE_OPENCV_INC_PATH = NONE -# Add OpenCV shared library path, in which the shared library exists -USE_OPENCV_LIB_PATH = NONE - -# whether use CUDA during compile -USE_CUDA = 1 - -# add the path to CUDA library to link and compile flag -# if you have already add them to environment variable, leave it as NONE -# USE_CUDA_PATH = /usr/local/cuda -USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-7.5 - -# whether use CuDNN R3 library -USE_CUDNN = 1 - -# CUDA architecture setting: going with all of them. -# For CUDA < 6.0, comment the *_50 lines for compatibility. -# CUDA_ARCH := - -# whether use cuda runtime compiling for writing kernels in native language (i.e. Python) -ENABLE_CUDA_RTC = 1 - -# use openmp for parallelization -USE_OPENMP = 1 -USE_OPERATOR_TUNING = 1 -USE_LIBJPEG_TURBO = 1 - -# whether use MKL-DNN library -USE_MKLDNN = 1 - -# whether use NNPACK library -USE_NNPACK = 0 - -# whether use lapack during compilation -# only effective when compiled with blas versions openblas/apple/atlas/mkl -USE_LAPACK = 1 - -# path to lapack library in case of a non-standard installation -USE_LAPACK_PATH = $(DEPS_PATH)/lib - -# add path to intel library, you may need it for MKL, if you did not add the path -# to environment variable -USE_INTEL_PATH = NONE - -# If use MKL, choose static link automatically to allow python wrapper -ifeq ($(USE_BLAS), mkl) -USE_STATIC_MKL = 1 -else -USE_STATIC_MKL = NONE -endif - -#---------------------------- -# Settings for power and arm arch -#---------------------------- -ARCH := $(shell uname -a) -ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64)) - USE_SSE=0 -else - USE_SSE=1 -endif - -#---------------------------- -# distributed computing -#---------------------------- - -# whether or not to enable multi-machine supporting -USE_DIST_KVSTORE = 1 - -# whether or not allow to read and write HDFS directly. If yes, then hadoop is -# required -USE_HDFS = 0 - -# path to libjvm.so. required if USE_HDFS=1 -LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server - -# whether or not allow to read and write AWS S3 directly. If yes, then -# libcurl4-openssl-dev is required, it can be installed on Ubuntu by -# sudo apt-get install -y libcurl4-openssl-dev -USE_S3 = 1 - -#---------------------------- -# additional operators -#---------------------------- - -# path to folders containing projects specific operators that you don't want to put in src/operators -EXTRA_OPERATORS = - - -#---------------------------- -# plugins -#---------------------------- - -# whether to use caffe integration. This requires installing caffe. -# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH -# CAFFE_PATH = $(HOME)/caffe -# MXNET_PLUGINS += plugin/caffe/caffe.mk - -# whether to use torch integration. This requires installing torch. -# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH -# TORCH_PATH = $(HOME)/torch -# MXNET_PLUGINS += plugin/torch/torch.mk - -# WARPCTC_PATH = $(HOME)/warp-ctc -# MXNET_PLUGINS += plugin/warpctc/warpctc.mk - -# whether to use sframe integration. This requires build sframe -# git@github.com:dato-code/SFrame.git -# SFRAME_PATH = $(HOME)/SFrame -# MXNET_PLUGINS += plugin/sframe/plugin.mk diff --git a/make/staticbuild/linux_cu80.mk b/make/staticbuild/linux_cu80.mk deleted file mode 100644 index a42220d3d467..000000000000 --- a/make/staticbuild/linux_cu80.mk +++ /dev/null @@ -1,170 +0,0 @@ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# -#------------------------------------------------------------------------------- -# Template configuration for compiling mxnet for making python wheel -#------------------------------------------------------------------------------- - -#--------------------- -# choice of compiler -#-------------------- - -export CC = gcc -export CXX = g++ -export NVCC = nvcc - -# whether compile with options for MXNet developer -DEV = 0 - -# whether compile with debug -DEBUG = 0 - -# whether to turn on signal handler (e.g. segfault logger) -USE_SIGNAL_HANDLER = 1 - -# the additional link flags you want to add -ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections - -# the additional compile flags you want to add -ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections - -#--------------------------------------------- -# matrix computation libraries for CPU/GPU -#--------------------------------------------- - -# choose the version of blas you want to use -# can be: mkl, blas, atlas, openblas -# in default use atlas for linux while apple for osx -USE_BLAS=openblas - -# whether use opencv during compilation -# you can disable it, however, you will not able to use -# imbin iterator -USE_OPENCV = 1 -# Add OpenCV include path, in which the directory `opencv2` exists -USE_OPENCV_INC_PATH = NONE -# Add OpenCV shared library path, in which the shared library exists -USE_OPENCV_LIB_PATH = NONE - -# whether use CUDA during compile -USE_CUDA = 1 - -# add the path to CUDA library to link and compile flag -# if you have already add them to environment variable, leave it as NONE -# USE_CUDA_PATH = /usr/local/cuda -USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-8.0 - -# whether to use CuDNN library -USE_CUDNN = 1 - -# whether to use NCCL library -USE_NCCL = 1 - -# CUDA architecture setting: going with all of them. -# For CUDA < 6.0, comment the *_50 lines for compatibility. -# CUDA_ARCH := - -# whether use cuda runtime compiling for writing kernels in native language (i.e. Python) -ENABLE_CUDA_RTC = 1 - -# use openmp for parallelization -USE_OPENMP = 1 -USE_OPERATOR_TUNING = 1 -USE_LIBJPEG_TURBO = 1 - -# whether use MKL-DNN library -USE_MKLDNN = 1 - -# whether use NNPACK library -USE_NNPACK = 0 - -# whether use lapack during compilation -# only effective when compiled with blas versions openblas/apple/atlas/mkl -USE_LAPACK = 1 - -# path to lapack library in case of a non-standard installation -USE_LAPACK_PATH = $(DEPS_PATH)/lib - -# add path to intel library, you may need it for MKL, if you did not add the path -# to environment variable -USE_INTEL_PATH = NONE - -# If use MKL, choose static link automatically to allow python wrapper -ifeq ($(USE_BLAS), mkl) -USE_STATIC_MKL = 1 -else -USE_STATIC_MKL = NONE -endif - -#---------------------------- -# Settings for power and arm arch -#---------------------------- -ARCH := $(shell uname -a) -ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64)) - USE_SSE=0 -else - USE_SSE=1 -endif - -#---------------------------- -# distributed computing -#---------------------------- - -# whether or not to enable multi-machine supporting -USE_DIST_KVSTORE = 1 - -# whether or not allow to read and write HDFS directly. If yes, then hadoop is -# required -USE_HDFS = 0 - -# path to libjvm.so. required if USE_HDFS=1 -LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server - -# whether or not allow to read and write AWS S3 directly. If yes, then -# libcurl4-openssl-dev is required, it can be installed on Ubuntu by -# sudo apt-get install -y libcurl4-openssl-dev -USE_S3 = 1 - -#---------------------------- -# additional operators -#---------------------------- - -# path to folders containing projects specific operators that you don't want to put in src/operators -EXTRA_OPERATORS = - - -#---------------------------- -# plugins -#---------------------------- - -# whether to use caffe integration. This requires installing caffe. -# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH -# CAFFE_PATH = $(HOME)/caffe -# MXNET_PLUGINS += plugin/caffe/caffe.mk - -# whether to use torch integration. This requires installing torch. -# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH -# TORCH_PATH = $(HOME)/torch -# MXNET_PLUGINS += plugin/torch/torch.mk - -# WARPCTC_PATH = $(HOME)/warp-ctc -# MXNET_PLUGINS += plugin/warpctc/warpctc.mk - -# whether to use sframe integration. This requires build sframe -# git@github.com:dato-code/SFrame.git -# SFRAME_PATH = $(HOME)/SFrame -# MXNET_PLUGINS += plugin/sframe/plugin.mk diff --git a/make/staticbuild/linux_cu90.mk b/make/staticbuild/linux_cu90.mk deleted file mode 100644 index c46c10f6358b..000000000000 --- a/make/staticbuild/linux_cu90.mk +++ /dev/null @@ -1,172 +0,0 @@ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# -#------------------------------------------------------------------------------- -# Template configuration for compiling mxnet for making python wheel -#------------------------------------------------------------------------------- - -#--------------------- -# choice of compiler -#-------------------- - -export CC = gcc -export CXX = g++ -export NVCC = nvcc - -# whether compile with options for MXNet developer -DEV = 0 - -# whether compile with debug -DEBUG = 0 - -# whether to turn on signal handler (e.g. segfault logger) -USE_SIGNAL_HANDLER = 1 - -# the additional link flags you want to add -ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections - -# the additional compile flags you want to add -ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections - -#--------------------------------------------- -# matrix computation libraries for CPU/GPU -#--------------------------------------------- - -# choose the version of blas you want to use -# can be: mkl, blas, atlas, openblas -# in default use atlas for linux while apple for osx -USE_BLAS=openblas - -# whether use opencv during compilation -# you can disable it, however, you will not able to use -# imbin iterator -USE_OPENCV = 1 -# Add OpenCV include path, in which the directory `opencv2` exists -USE_OPENCV_INC_PATH = NONE -# Add OpenCV shared library path, in which the shared library exists -USE_OPENCV_LIB_PATH = NONE - -# whether use CUDA during compile -USE_CUDA = 1 - -# add the path to CUDA library to link and compile flag -# if you have already add them to environment variable, leave it as NONE -# USE_CUDA_PATH = /usr/local/cuda -USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.0 - -# whether to use CuDNN library -USE_CUDNN = 1 - -# whether to use NCCL library -USE_NCCL = 1 - -# CUDA architecture setting: going with all of them. -# For CUDA < 6.0, comment the *_50 lines for compatibility. -# CUDA_ARCH := - -# whether use cuda runtime compiling for writing kernels in native language (i.e. Python) -ENABLE_CUDA_RTC = 1 - -USE_NVTX=1 - -# use openmp for parallelization -USE_OPENMP = 1 -USE_OPERATOR_TUNING = 1 -USE_LIBJPEG_TURBO = 1 - -# whether use MKL-DNN library -USE_MKLDNN = 1 - -# whether use NNPACK library -USE_NNPACK = 0 - -# whether use lapack during compilation -# only effective when compiled with blas versions openblas/apple/atlas/mkl -USE_LAPACK = 1 - -# path to lapack library in case of a non-standard installation -USE_LAPACK_PATH = $(DEPS_PATH)/lib - -# add path to intel library, you may need it for MKL, if you did not add the path -# to environment variable -USE_INTEL_PATH = NONE - -# If use MKL, choose static link automatically to allow python wrapper -ifeq ($(USE_BLAS), mkl) -USE_STATIC_MKL = 1 -else -USE_STATIC_MKL = NONE -endif - -#---------------------------- -# Settings for power and arm arch -#---------------------------- -ARCH := $(shell uname -a) -ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64)) - USE_SSE=0 -else - USE_SSE=1 -endif - -#---------------------------- -# distributed computing -#---------------------------- - -# whether or not to enable multi-machine supporting -USE_DIST_KVSTORE = 1 - -# whether or not allow to read and write HDFS directly. If yes, then hadoop is -# required -USE_HDFS = 0 - -# path to libjvm.so. required if USE_HDFS=1 -LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server - -# whether or not allow to read and write AWS S3 directly. If yes, then -# libcurl4-openssl-dev is required, it can be installed on Ubuntu by -# sudo apt-get install -y libcurl4-openssl-dev -USE_S3 = 1 - -#---------------------------- -# additional operators -#---------------------------- - -# path to folders containing projects specific operators that you don't want to put in src/operators -EXTRA_OPERATORS = - - -#---------------------------- -# plugins -#---------------------------- - -# whether to use caffe integration. This requires installing caffe. -# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH -# CAFFE_PATH = $(HOME)/caffe -# MXNET_PLUGINS += plugin/caffe/caffe.mk - -# whether to use torch integration. This requires installing torch. -# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH -# TORCH_PATH = $(HOME)/torch -# MXNET_PLUGINS += plugin/torch/torch.mk - -# WARPCTC_PATH = $(HOME)/warp-ctc -# MXNET_PLUGINS += plugin/warpctc/warpctc.mk - -# whether to use sframe integration. This requires build sframe -# git@github.com:dato-code/SFrame.git -# SFRAME_PATH = $(HOME)/SFrame -# MXNET_PLUGINS += plugin/sframe/plugin.mk diff --git a/make/staticbuild/linux_cu91.mk b/make/staticbuild/linux_cu91.mk deleted file mode 100644 index b2a33d7e36c8..000000000000 --- a/make/staticbuild/linux_cu91.mk +++ /dev/null @@ -1,172 +0,0 @@ -# Licensed to the Apache Software Foundation (ASF) under one -# or more contributor license agreements. See the NOTICE file -# distributed with this work for additional information -# regarding copyright ownership. The ASF licenses this file -# to you under the Apache License, Version 2.0 (the -# "License"); you may not use this file except in compliance -# with the License. You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, -# software distributed under the License is distributed on an -# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -# KIND, either express or implied. See the License for the -# specific language governing permissions and limitations -# under the License. -# -#------------------------------------------------------------------------------- -# Template configuration for compiling mxnet for making python wheel -#------------------------------------------------------------------------------- - -#--------------------- -# choice of compiler -#-------------------- - -export CC = gcc -export CXX = g++ -export NVCC = nvcc - -# whether compile with options for MXNet developer -DEV = 0 - -# whether compile with debug -DEBUG = 0 - -# whether to turn on signal handler (e.g. segfault logger) -USE_SIGNAL_HANDLER = 1 - -# the additional link flags you want to add -ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections - -# the additional compile flags you want to add -ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections - -#--------------------------------------------- -# matrix computation libraries for CPU/GPU -#--------------------------------------------- - -# choose the version of blas you want to use -# can be: mkl, blas, atlas, openblas -# in default use atlas for linux while apple for osx -USE_BLAS=openblas - -# whether use opencv during compilation -# you can disable it, however, you will not able to use -# imbin iterator -USE_OPENCV = 1 -# Add OpenCV include path, in which the directory `opencv2` exists -USE_OPENCV_INC_PATH = NONE -# Add OpenCV shared library path, in which the shared library exists -USE_OPENCV_LIB_PATH = NONE - -# whether use CUDA during compile -USE_CUDA = 1 - -# add the path to CUDA library to link and compile flag -# if you have already add them to environment variable, leave it as NONE -# USE_CUDA_PATH = /usr/local/cuda -USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.1 - -# whether to use CuDNN library -USE_CUDNN = 1 - -# whether to use NCCL library -USE_NCCL = 1 - -# CUDA architecture setting: going with all of them. -# For CUDA < 6.0, comment the *_50 lines for compatibility. -# CUDA_ARCH := - -# whether use cuda runtime compiling for writing kernels in native language (i.e. Python) -ENABLE_CUDA_RTC = 1 - -USE_NVTX=1 - -# use openmp for parallelization -USE_OPENMP = 1 -USE_OPERATOR_TUNING = 1 -USE_LIBJPEG_TURBO = 1 - -# whether use MKL-DNN library -USE_MKLDNN = 1 - -# whether use NNPACK library -USE_NNPACK = 0 - -# whether use lapack during compilation -# only effective when compiled with blas versions openblas/apple/atlas/mkl -USE_LAPACK = 1 - -# path to lapack library in case of a non-standard installation -USE_LAPACK_PATH = $(DEPS_PATH)/lib - -# add path to intel library, you may need it for MKL, if you did not add the path -# to environment variable -USE_INTEL_PATH = NONE - -# If use MKL, choose static link automatically to allow python wrapper -ifeq ($(USE_BLAS), mkl) -USE_STATIC_MKL = 1 -else -USE_STATIC_MKL = NONE -endif - -#---------------------------- -# Settings for power and arm arch -#---------------------------- -ARCH := $(shell uname -a) -ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64)) - USE_SSE=0 -else - USE_SSE=1 -endif - -#---------------------------- -# distributed computing -#---------------------------- - -# whether or not to enable multi-machine supporting -USE_DIST_KVSTORE = 1 - -# whether or not allow to read and write HDFS directly. If yes, then hadoop is -# required -USE_HDFS = 0 - -# path to libjvm.so. required if USE_HDFS=1 -LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server - -# whether or not allow to read and write AWS S3 directly. If yes, then -# libcurl4-openssl-dev is required, it can be installed on Ubuntu by -# sudo apt-get install -y libcurl4-openssl-dev -USE_S3 = 1 - -#---------------------------- -# additional operators -#---------------------------- - -# path to folders containing projects specific operators that you don't want to put in src/operators -EXTRA_OPERATORS = - - -#---------------------------- -# plugins -#---------------------------- - -# whether to use caffe integration. This requires installing caffe. -# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH -# CAFFE_PATH = $(HOME)/caffe -# MXNET_PLUGINS += plugin/caffe/caffe.mk - -# whether to use torch integration. This requires installing torch. -# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH -# TORCH_PATH = $(HOME)/torch -# MXNET_PLUGINS += plugin/torch/torch.mk - -# WARPCTC_PATH = $(HOME)/warp-ctc -# MXNET_PLUGINS += plugin/warpctc/warpctc.mk - -# whether to use sframe integration. This requires build sframe -# git@github.com:dato-code/SFrame.git -# SFRAME_PATH = $(HOME)/SFrame -# MXNET_PLUGINS += plugin/sframe/plugin.mk diff --git a/tools/setup_gpu_build_tools.sh b/tools/setup_gpu_build_tools.sh index b2f80412bfa7..fa4bc82f1b4b 100755 --- a/tools/setup_gpu_build_tools.sh +++ b/tools/setup_gpu_build_tools.sh @@ -29,7 +29,18 @@ VARIANT=$1 DEPS_PATH=$2 >&2 echo "Setting CUDA versions for $VARIANT" -if [[ $VARIANT == cu110* ]]; then +if [[ $VARIANT == cu112* ]]; then + CUDA_VERSION='11.2.135-1' + CUDA_PATCH_VERSION='11.4.1.1026-1' + CUDA_LIBS_VERSION='10.2.3.135-1' + CUDA_SOLVER_VERSION='11.1.0.135-1' + CUDA_NVTX_VERSION='11.2.67-1' + LIBCUDA_VERSION='460.32.03-0ubuntu1' + LIBCUDNN_VERSION='8.1.0.77-1+cuda11.2' + LIBNCCL_VERSION='2.8.4-1+cuda11.2' + LIBCUDART_VERSION='11.2.72-1' + LIBCUFFT_VERSION='10.4.0.135-1' +elif [[ $VARIANT == cu110* ]]; then CUDA_VERSION='11.0.221-1' CUDA_PATCH_VERSION='11.2.0.252-1' CUDA_LIBS_VERSION='10.2.1.245-1' @@ -109,7 +120,31 @@ if [[ $VARIANT == cu* ]]; then fi # list of debs to download from nvidia -if [[ $VARIANT == cu110* ]]; then +if [[ $VARIANT == cu112* ]]; then + cuda_files=( \ + "libcublas-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \ + "libcublas-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \ + "cuda-cudart-${CUDA_MAJOR_DASH}_${LIBCUDART_VERSION}_amd64.deb" \ + "cuda-cudart-dev-${CUDA_MAJOR_DASH}_${LIBCUDART_VERSION}_amd64.deb" \ + "libcurand-${CUDA_MAJOR_DASH}_${CUDA_LIBS_VERSION}_amd64.deb" \ + "libcurand-dev-${CUDA_MAJOR_DASH}_${CUDA_LIBS_VERSION}_amd64.deb" \ + "libcufft-${CUDA_MAJOR_DASH}_${LIBCUFFT_VERSION}_amd64.deb" \ + "libcufft-dev-${CUDA_MAJOR_DASH}_${LIBCUFFT_VERSION}_amd64.deb" \ + "cuda-nvrtc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \ + "cuda-nvrtc-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \ + "libcusolver-${CUDA_MAJOR_DASH}_${CUDA_SOLVER_VERSION}_amd64.deb" \ + "libcusolver-dev-${CUDA_MAJOR_DASH}_${CUDA_SOLVER_VERSION}_amd64.deb" \ + "cuda-nvcc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \ + "cuda-nvtx-${CUDA_MAJOR_DASH}_${CUDA_NVTX_VERSION}_amd64.deb" \ + "libcuda1-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \ + "cuda-nvprof-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \ + "nvidia-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \ + ) + ml_files=( \ + "libcudnn${LIBCUDNN_MAJOR}-dev_${LIBCUDNN_VERSION}_amd64.deb" \ + "libnccl-dev_${LIBNCCL_VERSION}_amd64.deb" \ + ) +elif [[ $VARIANT == cu110* ]]; then cuda_files=( \ "libcublas-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \ "libcublas-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \