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.
For feature requests on the PyPI package, suggestions, and issue reports, click here.
Prerequisites
This package supports Linux, Mac OSX, and Windows platforms. You may also want to check: - mxnet-cu92 with CUDA-9.2 support. - mxnet-cu92mkl with CUDA-9.2 support and MKLDNN support. - mxnet-cu91 with CUDA-9.1 support. - mxnet-cu91mkl with CUDA-9.1 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-mkl with MKLDNN support.
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, use:
pip install mxnet1 maintainer
Metadata
1 maintainer
Release files for mxnet-gcc5 1.4.0
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_gcc5-1.4.0-py2.py3-none-manylinux1_x86_64.whl | Python 3, Python 2 | none | Linux glibc 2.5+ x86-64 | Details |
Release files / mxnet_gcc5-1.4.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | mxnet_gcc5-1.4.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 30.0 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/20.7.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.12
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