MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.2.
Project description
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 and Windows platforms. You may also want to check: - 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. - 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-cu92
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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| mxnet_cu92-1.3.0.post0-py2.py3-none-manylinux1_x86_64.whl (442.1 MB) Copy SHA256 hash SHA256 | Wheel | py2.py3 |
