[PIP] add build variant for cuda 11.2

cd/Jenkinsfile_cd_pipeline

@@ -36,7 +36,7 @@ pipeline {
 
   parameters {
     // Release parameters
-    string(defaultValue: "cpu,native,cu101,cu102,cu110", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
+    string(defaultValue: "cpu,native,cu101,cu102,cu110,cu112", 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,cu101,cu102,cu110", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
+    string(defaultValue: "cpu,native,cu101,cu102,cu110,cu112", 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

@@ -25,7 +25,7 @@ MXNet aims to support a variety of frontends, e.g. Python, Java, Perl, R, etc. a
 
 The CD process is driven by the [CD pipeline job](Jenkinsfile_cd_pipeline), which orchestrates the order in which the artifacts are delivered. For instance, first publish the libmxnet library before publishing the pip package. It does this by triggering the [release job](Jenkinsfile_release_job) with a specific set of parameters for each delivery channel. The release job executes the specific release pipeline for a delivery channel across all MXNet *variants*.
 
-A variant is a specific environment or features for which MXNet is compiled. For instance CPU, GPU with CUDA v10.1, CUDA v10.2 with MKL-DNN support, etc. 
+A variant is a specific environment or features for which MXNet is compiled. For instance CPU, GPU with CUDA v10.1, CUDA v10.2 with MKL-DNN support, etc.
 
 Currently, below variants are supported. All of these variants except native have MKL-DNN backend enabled.
 
@@ -34,6 +34,7 @@ Currently, below variants are supported. All of these variants except native hav
 * *cu101*: CUDA 10.1
 * *cu102*: CUDA 10.2
 * *cu110*: CUDA 11.0
+* *cu112*: CUDA 11.2
 
 *For more on variants, see [here](https://github.com/apache/incubator-mxnet/issues/8671)*
 
@@ -119,7 +120,7 @@ The "first mile" of the CD process is posting the mxnet binaries to the [artifac
 
 ##### Timeout
 
-We shouldn't set global timeouts for the pipelines. Rather, the `step` being executed should be rapped with a `timeout` function (as in the pipeline example above). The `max_time` is a global variable set at the [release job](Jenkinsfile_release_job) level. 
+We shouldn't set global timeouts for the pipelines. Rather, the `step` being executed should be rapped with a `timeout` function (as in the pipeline example above). The `max_time` is a global variable set at the [release job](Jenkinsfile_release_job) level.
 
 ##### Node of execution
 

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, cu101, cu102, cu110.
+Manually configured through the --variant argument. The current variants are: cpu, native, cu101, cu102, cu110, cu112.
 
 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

@@ -30,6 +30,9 @@ case ${mxnet_variant} in
     cu110*)
     echo "nvidia/cuda:11.0-cudnn8-runtime-ubuntu16.04"
     ;;
+    cu112*)
+    echo "nvidia/cuda:11.2-cudnn8-runtime-ubuntu16.04"
+    ;;
     cpu)
     echo "ubuntu:16.04"
     ;;

ci/docker/docker-compose.yml

@@ -71,6 +71,16 @@ services:
         BASE_IMAGE: nvidia/cuda:11.0-cudnn8-devel-centos7
       cache_from:
         - ${DOCKER_CACHE_REGISTRY}/build.centos7_gpu_cu110:latest
+  centos7_gpu_cu112:
+    image: ${DOCKER_CACHE_REGISTRY}/build.centos7_gpu_cu112:latest
+    build:
+      context: .
+      dockerfile: Dockerfile.build.centos7
+      target: base
+      args:
+        BASE_IMAGE: nvidia/cuda:11.2.0-cudnn8-devel-centos7
+      cache_from:
+        - ${DOCKER_CACHE_REGISTRY}/build.centos7_gpu_cu112:latest
   ###################################################################################################
   # Dockerfile.build.ubuntu based images. On Ubuntu we test more recent
   # toolchain and dependency versions compared to CentOS7. We attempt to update

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-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
 - [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.

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-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
 - [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](https://pypi.python.org/pypi/mxnet/).

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-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
 - [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](https://pypi.python.org/pypi/mxnet/).

tools/pip/doc/CU110_ADDITIONAL.md

@@ -18,6 +18,7 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 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](https://pypi.python.org/pypi/mxnet/).

tools/pip/doc/CU112_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-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](https://pypi.python.org/pypi/mxnet/).
+- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
+
+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.apache.org/versions/master) for instructions on building from source.
+
+Installation
+------------
+To install:
+```bash
+pip install mxnet-cu112
+```

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-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
 - [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.

tools/pip/setup.py

@@ -130,7 +130,9 @@ def skip_markdown_comments(md):
 if variant == 'CPU':
     libraries.append('openblas')
 else:
-    if variant.startswith('CU110'):
+    if variant.startswith('CU112'):
+        libraries.append('CUDA-11.2')
+    elif variant.startswith('CU110'):
         libraries.append('CUDA-11.0')
     elif variant.startswith('CU102'):
         libraries.append('CUDA-10.2')

tools/staticbuild/README.md

@@ -28,9 +28,9 @@ You need to install `patchelf` first, for example via `apt install patchelf` on
 Ubuntu systems.
 
 ```
-tools/staticbuild/build.sh cu102
+tools/staticbuild/build.sh cu112
 ```
-This would build the mxnet package based on CUDA 10.2. Currently, we support variants cpu, native, cu101, cu102 and cu110. All of these variants expect native have MKL-DNN backend enabled. 
+This would build the mxnet package based on CUDA 11.2. Currently, we support variants cpu, native, cu101, cu102, cu110, and cu112. All of these variants expect native have MKL-DNN backend enabled. 
 
 ```
 tools/staticbuild/build.sh cpu