Install¶

Platform: Local Cloud Devices

Device: Raspberry Pi Jetson

Installation Guide/install/install-pi.html

How to install MXNet on a Raspberry Pi 3.

Installation Guide/install/install-jetson.html

How to install MXNet on a Jetson TX.

Provider: Alibaba AWS Google Cloud Microsoft Azure Oracle Cloud

Installation Guides:

AWS Deep Learning AMI: preinstalled Conda environments for Python 2 or 3 with MXNet, CUDA, cuDNN, MKL-DNN, and AWS Elastic Inference
Amazon SageMaker: managed training and deployment of MXNet models
Dynamic Training on AWS: experimental manual EC2 setup or semi-automated CloudFormation setup
NVIDIA VM for AWS

OS: Linux macOS Windows

Package: Pip Docker

Backend: Native CUDA MKL-DNN CUDA + MKL-DNN

Prerequisites:

Requires pip >= 9.. Both Python 2 and Python 3 are supported.
Hint: append the flag --pre at the end of the command will install the nightly build.

Requires CUDA. Supported versions include 8.0, 9.0, and 9.2.
Hint: cuDNN is already included in the MXNet binary, so you don’t need to install it.

Hint: MKL-DNN is already included in the MXNet binary, so you don’t need to install it.
For detailed information on MKL and MKL-DNN, refer to the MKLDNN_README.

Command:

pip install mxnet

# Here we assume CUDA 9.2 is installed. You can change the number
# according to your own CUDA version.
pip install mxnet-cu92

pip install mxnet-mkl

# Here we assume CUDA 9.2 is installed. You can change the number
# according to your own CUDA version.
pip install mxnet-cu92mkl

docker pull mxnet/python

docker pull mxnet/python:gpu

docker pull mxnet/python:1.3.0_cpu_mkl

docker pull mxnet/python:1.3.0_gpu_cu90_mkl_py3

Next steps¶