Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy
 

How to install mxnet-cu100mkl via python pip




mxnet-cu100mkl - MXNet is an ultra-scalable deep learning framework. This version uses CUDA-10.0 and MKLDNN., it belongs to Classifiers:

- Programming Language :: Cython
- Programming Language :: Other
- Programming Language :: Perl
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics

When you know about this project and you want to new install mxnet-cu100mkl to support your project or you get trouble as ModuleNotFoundError: No module named "mxnet-cu100mkl" or ImportError: cannot import name "mxnet-cu100mkl" in your project, let follow this tutorial to install mxnet-cu100mkl



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_mxnet-cu100mkl_env

- Active the virtual environment

test_mxnet-cu100mkl_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_mxnet-cu100mkl_env

- Active the virtual environment

source test_mxnet-cu100mkl_env/bin/active


Step 2: OK, now, let flow below content to start the installation mxnet-cu100mkl

To install mxnet-cu100mkl on Windows(CMD):

py -m pip install mxnet-cu100mkl

To install mxnet-cu100mkl on Unix/macOs:

pip install mxnet-cu100mkl


Step 3: If you want to install a specific mxnet-cu100mkl version, add ==<mxnet-cu100mkl version> to the end command line

Example:

pip install mxnet-cu100mkl==1.3.1


Please see the version list below table:

VersionReleased dateCommand
mxnet-cu100mkl 1.5.1.post02019-10-01T22:49:27Windows:

py -m pip install mxnet-cu100mkl==1.5.1.post0

Unix/macOs:

pip install mxnet-cu100mkl==1.5.1.post0

mxnet-cu100mkl 1.5.12019-09-30T04:23:28Windows:

py -m pip install mxnet-cu100mkl==1.5.1

Unix/macOs:

pip install mxnet-cu100mkl==1.5.1

mxnet-cu100mkl 1.5.02019-07-19T21:49:26Windows:

py -m pip install mxnet-cu100mkl==1.5.0

Unix/macOs:

pip install mxnet-cu100mkl==1.5.0

mxnet-cu100mkl 1.4.12019-05-15T12:39:55Windows:

py -m pip install mxnet-cu100mkl==1.4.1

Unix/macOs:

pip install mxnet-cu100mkl==1.4.1

mxnet-cu100mkl 1.4.0.post02019-03-08T10:03:54Windows:

py -m pip install mxnet-cu100mkl==1.4.0.post0

Unix/macOs:

pip install mxnet-cu100mkl==1.4.0.post0

mxnet-cu100mkl 1.4.02019-02-28T02:42:21Windows:

py -m pip install mxnet-cu100mkl==1.4.0

Unix/macOs:

pip install mxnet-cu100mkl==1.4.0

mxnet-cu100mkl 1.3.12018-12-17T10:59:46Windows:

py -m pip install mxnet-cu100mkl==1.3.1

Unix/macOs:

pip install mxnet-cu100mkl==1.3.1


Step 4: Otherwise, you can install mxnet-cu100mkl from local archives:

Download the distribution file from mxnet_cu100mkl-1.5.1.post0-py2.py3-none-manylinux1_x86_64.whl or the specific mxnet-cu100mkl version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_mxnet-cu100mkl_downloaded_file>

On Unix/macOs:

pip install <path_to_mxnet-cu100mkl_downloaded_file>


List distribution:

- mxnet_cu100mkl-1.3.1-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu100mkl-1.3.1-py2.py3-none-win_amd64.whl
- mxnet_cu100mkl-1.4.0-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu100mkl-1.4.0-py2.py3-none-win_amd64.whl
- mxnet_cu100mkl-1.4.0.post0-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu100mkl-1.4.0.post0-py2.py3-none-win_amd64.whl
- mxnet_cu100mkl-1.4.1-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu100mkl-1.4.1-py2.py3-none-win_amd64.whl
- mxnet_cu100mkl-1.5.0-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu100mkl-1.5.0-py2.py3-none-win_amd64.whl
- mxnet_cu100mkl-1.5.1-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu100mkl-1.5.1.post0-py2.py3-none-manylinux1_x86_64.whl


Project link:

- Homepage