1.x: Stop packaging GPL libquadmath.so

cd/mxnet_lib/static/Jenkins_pipeline.groovy

@@ -32,8 +32,8 @@ libmxnet = 'lib/libmxnet.so'
 licenses = 'licenses/*'
 
 // libmxnet dependencies
-mx_native_deps = 'lib/libgfortran.so.3, lib/libquadmath.so.0'
-mx_deps = 'lib/libgfortran.so.3, lib/libquadmath.so.0, 3rdparty/mkldnn/build/install/include/dnnl_version.h, 3rdparty/mkldnn/build/install/include/dnnl_config.h'
+mx_native_deps = 'lib/libgfortran.so.3'
+mx_deps = 'lib/libgfortran.so.3, 3rdparty/mkldnn/build/install/include/dnnl_version.h, 3rdparty/mkldnn/build/install/include/dnnl_config.h'
 
 // library type
 // either static or dynamic - depending on how it links to its dependencies

ci/docker/install/requirements

@@ -32,4 +32,4 @@ astroid==2.3.3  # pylint and astroid need to be aligned
 requests<2.19.0,>=2.18.4
 scipy==1.2.1
 six==1.11.0
-setuptools
+setuptools<50

tools/pip/doc/CPU_ADDITIONAL.md

@@ -18,15 +18,20 @@
 Prerequisites
 -------------
 This package supports Linux, Mac OSX, and Windows platforms. You may also want to check:
-- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.2 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-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-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-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
 
+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/install/index.html) for instructions on building from source.
 
 Installation

tools/pip/doc/CU100_ADDITIONAL.md

@@ -18,15 +18,21 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
-- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.2 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-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 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](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.apache.org/versions/master/install/index.html) for instructions on building from source.
 
 Installation

tools/pip/doc/CU101_ADDITIONAL.md

@@ -18,15 +18,21 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
-- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.2 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.
-- [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](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

tools/pip/doc/CU102_ADDITIONAL.md

@@ -18,14 +18,21 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
+- [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-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](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

tools/pip/doc/CU92_ADDITIONAL.md

@@ -26,6 +26,14 @@ This package supports Linux and Windows platforms. You may also want to check:
 
 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/install/index.html) for instructions on building from source.
 
 Installation

tools/pip/doc/NATIVE_ADDITIONAL.md

@@ -18,12 +18,21 @@
 Prerequisites
 -------------
 This package supports Linux and Windows platforms. You may also want to check:
-- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.2 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-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
-- [mxnet](https://pypi.python.org/pypi/mxnet/) CPU build with MKLDNN.
+- [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.apache.org/versions/master/install/index.html) for instructions on building from source.
 
 Installation

tools/pip/setup.py

@@ -168,8 +168,6 @@ def skip_markdown_comments(md):
     else:
         shutil.copy(os.path.join(libdir, 'libgfortran.so.4'), mxdir)
         package_data['mxnet'].append('mxnet/libgfortran.so.4')
-    shutil.copy(os.path.join(libdir, 'libquadmath.so.0'), mxdir)
-    package_data['mxnet'].append('mxnet/libquadmath.so.0')
     if os.path.exists(os.path.join(libdir, 'libopenblas.so.0')):
         shutil.copy(os.path.join(libdir, 'libopenblas.so.0'), mxdir)
         package_data['mxnet'].append('mxnet/libquadmath.so.0')