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-cu101 with CUDA-10.1 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-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 of CUDA, check Installing MXNet for instructions on building from source.
Installation
To install:
pip install mxnet-cu101mkl
Release files for mxnet-cu101mkl 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mxnet_cu101mkl-1.5.0-py2.py3-none-win_amd64.whl | Python 3, Python 2 | none | Windows x86-64 | Details |
| mxnet_cu101mkl-1.5.0-py2.py3-none-manylinux1_x86_64.whl | Python 3, Python 2 | none | Linux glibc 2.5+ x86-64 | Details |
Total release size: 1.0 GB
Release files / mxnet_cu101mkl-1.5.0-py2.py3-none-win_amd64.whl
| Download URL | mxnet_cu101mkl-1.5.0-py2.py3-none-win_amd64.whl |
|---|---|
| Size | 417.1 MB |
| Tags | Python 2 Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/36.5.0.post20170921 requests-toolbelt/0.8.0 tqdm/4.22.0 CPython/3.6.3
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Release files / mxnet_cu101mkl-1.5.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | mxnet_cu101mkl-1.5.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 587.7 MB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
3c08bc4908714bda6a9cb4f271f4ddd5f225bb379ec6d943604439fcca5f9a8a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/36.2.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.6
|
