[v1.8.x] Enable CUDA 11.0 on nightly development builds

cd/Jenkinsfile_cd_pipeline

@@ -36,7 +36,7 @@ pipeline {
 
   parameters {
     // Release parameters
-    string(defaultValue: "cpu,native,cu90,cu92,cu100,cu101,cu102", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
+    string(defaultValue: "cpu,native,cu92,cu100,cu101,cu102,cu110", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
     booleanParam(defaultValue: false, description: 'Whether this is a release build or not', name: "RELEASE_BUILD")
   }
 

cd/Jenkinsfile_release_job

@@ -43,7 +43,7 @@ pipeline {
     // any disruption caused by different COMMIT_ID values chaning the job parameter configuration on
     // Jenkins.
     string(defaultValue: "mxnet_lib/static", description: "Pipeline to build", name: "RELEASE_JOB_TYPE")
-    string(defaultValue: "cpu,native,cu90,cu92,cu100,cu101,cu102", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
+    string(defaultValue: "cpu,native,cu92,cu100,cu101,cu102,cu110", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
     booleanParam(defaultValue: false, description: 'Whether this is a release build or not', name: "RELEASE_BUILD")
   }
 

cd/README.md

@@ -31,11 +31,11 @@ Currently, below variants are supported. All of these variants except native hav
 
 * *cpu*: CPU
 * *native*: CPU without MKL-DNN
-* *cu90*: CUDA 9.0
 * *cu92*: CUDA 9.2
 * *cu100*: CUDA 10
 * *cu101*: CUDA 10.1
 * *cu102*: CUDA 10.2
+* *cu110*: CUDA 11.0
 
 *For more on variants, see [here](https://github.com/apache/incubator-mxnet/issues/8671)*
 

cd/utils/artifact_repository.md

@@ -53,7 +53,7 @@ If not set, derived through the value of sys.platform (https://docs.python.org/3
 
 **Variant**
 
-Manually configured through the --variant argument. The current variants are: cpu, native, cu80, cu90, cu92, cu100, and cu101.
+Manually configured through the --variant argument. The current variants are: cpu, native, cu92, cu100, cu101, cu102 and cu110.
 
 As long as the tool is being run from the MXNet code base, the runtime feature detection tool (https://github.com/larroy/mxnet/blob/dd432b7f241c9da2c96bcb877c2dc84e6a1f74d4/docs/api/python/libinfo/libinfo.md) can be used to detect whether the library has been compiled with MKL (library has MKL-DNN feature enabled) and/or CUDA support (compiled with CUDA feature enabled).
 

cd/utils/mxnet_base_image.sh

@@ -39,6 +39,9 @@ case ${mxnet_variant} in
     cu102*)
     echo "nvidia/cuda:10.2-cudnn7-runtime-ubuntu16.04"
     ;;
+    cu110*)
+    echo "nvidia/cuda:11.0-cudnn8-runtime-ubuntu16.04"
+    ;;
     cpu)
     echo "ubuntu:16.04"
     ;;

config/distribution/linux_cu110.cmake

@@ -0,0 +1,34 @@
+# 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.
+
+set(CMAKE_BUILD_TYPE "Distribution" CACHE STRING "Build type")
+set(CFLAGS "-mno-avx" CACHE STRING "CFLAGS")
+set(CXXFLAGS "-mno-avx" CACHE STRING "CXXFLAGS")
+
+set(USE_CUDA ON CACHE BOOL "Build with CUDA support")
+set(USE_CUDNN ON CACHE BOOL "Build with CUDA support")
+set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support")
+set(USE_OPENMP ON CACHE BOOL "Build with Openmp support")
+set(USE_MKL_IF_AVAILABLE OFF CACHE BOOL "Use Intel MKL if found")
+set(USE_MKLDNN ON CACHE BOOL "Build with MKL-DNN support")
+set(USE_LAPACK ON CACHE BOOL "Build with lapack support")
+set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
+set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
+set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
+
+set(CUDACXX "/usr/local/cuda-11.0/bin/nvcc" CACHE STRING "Cuda compiler")
+set(MXNET_CUDA_ARCH "5.0;6.0;7.0;8.0" CACHE STRING "Cuda architectures")

make/staticbuild/linux_cu110.mk

@@ -0,0 +1,173 @@
+# 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-11.0
+
+# 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
+# [email protected]:dato-code/SFrame.git
+# SFRAME_PATH = $(HOME)/SFrame
+# MXNET_PLUGINS += plugin/sframe/plugin.mk
+

tools/pip/doc/CPU_ADDITIONAL.md

@@ -18,6 +18,7 @@
 Prerequisites
 -------------
 This package supports Linux, Mac OSX, and Windows platforms. You may also want to check:
+- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
 - [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
 - [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
 - [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.

tools/pip/doc/CU100_ADDITIONAL.md

@@ -18,6 +18,7 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
 - [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
 - [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
 - [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.

tools/pip/doc/CU101_ADDITIONAL.md

@@ -18,6 +18,7 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
 - [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
 - [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.0 support.
 - [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.

tools/pip/doc/CU102_ADDITIONAL.md

@@ -18,6 +18,7 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
 - [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
 - [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
 - [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.

tools/pip/doc/CU110_ADDITIONAL.md

@@ -0,0 +1,44 @@
+<!--- 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. -->
+
+Prerequisites
+-------------
+This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
+- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
+- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
+- [mxnet](https://pypi.python.org/pypi/mxnet/).
+
+To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
+
+To use this package on Linux you need the `libquadmath.so.0` shared library. On
+Debian based systems, including Ubuntu, run `sudo apt install libquadmath0` to
+install the shared library. On RHEL based systems, including CentOS, run `sudo
+yum install libquadmath` to install the shared library. As `libquadmath.so.0` is
+a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
+redistribute `libquadmath.so.0` as part of the Pypi package and users must
+manually install it.
+
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.incubator.apache.org/versions/master/install/index.html) for instructions on building from source.
+
+Installation
+------------
+To install:
+```bash
+pip install mxnet-cu110
+```

tools/pip/doc/CU92_ADDITIONAL.md

@@ -18,10 +18,10 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
 - [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
-- [mxnet-cu90](https://pypi.python.org/pypi/mxnet-cu90/) with CUDA-9.0 support.
-- [mxnet-cu80](https://pypi.python.org/pypi/mxnet-cu80/) with CUDA-8.0 support.
-- [mxnet-cu75](https://pypi.python.org/pypi/mxnet-cu75/) with CUDA-7.5 support.
+- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
 - [mxnet](https://pypi.python.org/pypi/mxnet/).
 
 To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).

tools/pip/doc/NATIVE_ADDITIONAL.md

@@ -18,6 +18,7 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
 - [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
 - [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
 - [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.

tools/pip/setup.py

@@ -133,7 +133,9 @@ def skip_markdown_comments(md):
 if variant == 'CPU':
     libraries.append('openblas')
 else:
-    if variant.startswith('CU102'):
+    if variant.startswith('CU110'):
+        libraries.append('CUDA-11.0')
+    elif variant.startswith('CU102'):
         libraries.append('CUDA-10.2')
     elif variant.startswith('CU101'):
         libraries.append('CUDA-10.1')
@@ -216,3 +218,4 @@ def skip_markdown_comments(md):
           'Topic :: Software Development :: Libraries :: Python Modules',
       ],
       url='https://github.com/apache/incubator-mxnet')
+