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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.

For feature requests on the PyPI package, suggestions, and issue reports, create an issue by clicking here.

Prerequisites

This package supports Linux and Windows platforms. You may also want to check: - mxnet-cu102 with CUDA-10.2 support. - mxnet-cu102mkl with CUDA-10.2 support and MKLDNN support. - 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-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. - mxnet.

To download CUDA, check CUDA download. For more instructions, check CUDA Toolkit online documentation.

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-cu90

Release files for mxnet-cu90 1.6.0.post0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for mxnet-cu90 1.6.0.post0
File Interpreter ABI Platform
mxnet_cu90-1.6.0.post0-py2.py3-none-manylinux1_x86_64.whl Python 2, Python 3 none Linux glibc 2.5+ x86-64 Details

Release files / mxnet_cu90-1.6.0.post0-py2.py3-none-manylinux1_x86_64.whl

Download URL mxnet_cu90-1.6.0.post0-py2.py3-none-manylinux1_x86_64.whl
Size 595.6 MB
Tags Linux glibc 2.5+ x86-64 Python 2 Python 3
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