Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of deep learning programs together to maximize the efficiency and your productivity.
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Prerequisites
This package supports Linux only. You may also want to check: - mxnet-cu101 with CUDA-10.1 support. - mxnet-cu101mkl with CUDA-10.1 support and MKLDNN support. - mxnet-cu100 with CUDA-10.0 support. - mxnet-cu100mkl with CUDA-10.0 support and MKLDNN support. - mxnet-cu92 with CUDA-9.2 support. - mxnet-cu92mkl with CUDA-9.2 support and MKLDNN support. - mxnet-cu90 with CUDA-9.0 support. - mxnet-cu90mkl with CUDA-9.0 support and MKLDNN support. - mxnet-cu80 with CUDA-8.0 support. - mxnet-cu80mkl with CUDA-8.0 support and MKLDNN support. - mxnet-cu75 with CUDA-7.5 support. - mxnet-cu75mkl with CUDA-7.5 support and MKLDNN support. - mxnet.
To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check Installing MXNet for instructions on building from source.
Installation
To install:
pip install mxnet-mkl
Release files for mxnet-mkl 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl | Python 3, Python 2 | none | Linux glibc 2.5+ x86-64 | Details |
Release files / mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | mxnet_mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 76.7 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
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twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/3.3 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.4.3
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