{ "info": { "author": "", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Programming Language :: C++", "Programming Language :: Cython", "Programming Language :: Other", "Programming Language :: Perl", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "Apache MXNet (Incubating) Python Package\n========================================\n[Apache MXNet](http://beta.mxnet.io) is a deep learning framework designed for both *efficiency* and *flexibility*.\nIt allows you to mix the flavours of deep learning programs together to maximize the efficiency and your productivity.\n\nFor feature requests on the PyPI package, suggestions, and issue reports, create an issue by clicking [here](https://github.com/apache/incubator-mxnet/issues/new).\nPrerequisites\n-------------\nThis package supports Linux and Windows platforms. You may also want to check:\n\n- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.\n- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.\n- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.\n- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.\n- [mxnet](https://pypi.python.org/pypi/mxnet/).\n- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.\n\nTo 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).\n\nTo use this package on Linux you need the `libquadmath.so.0` shared library. On\nDebian based systems, including Ubuntu, run `sudo apt install libquadmath0` to\ninstall the shared library. On RHEL based systems, including CentOS, run `sudo\nyum install libquadmath` to install the shared library. 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