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How to install mxnet-cu101mkl via python pip




mxnet-cu101mkl - MXNet is an ultra-scalable deep learning framework. This version uses CUDA-10.1 and MKLDNN., it belongs to Classifiers:

- Development Status :: 5 - Production/Stable
- Intended Audience :: Education
- Intended Audience :: Science/Research
- License :: OSI Approved :: Apache Software License
- Programming Language :: C
- Programming Language :: C++
- Programming Language :: Cython
- Programming Language :: Other
- Programming Language :: Perl
- Programming Language :: Python :: 2.7
- Programming Language :: Python :: 3.4
- Programming Language :: Python :: 3.5
- Programming Language :: Python :: Implementation
- Programming Language :: Python :: Implementation :: CPython
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics

When you know about this project and you want to new install mxnet-cu101mkl to support your project or you get trouble as ModuleNotFoundError: No module named "mxnet-cu101mkl" or ImportError: cannot import name "mxnet-cu101mkl" in your project, let follow this tutorial to install mxnet-cu101mkl



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-cu101mkl_env

- Active the virtual environment

test_mxnet-cu101mkl_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-cu101mkl_env

- Active the virtual environment

source test_mxnet-cu101mkl_env/bin/active


Step 2: OK, now, let flow below content to start the installation mxnet-cu101mkl

To install mxnet-cu101mkl on Windows(CMD):

py -m pip install mxnet-cu101mkl

To install mxnet-cu101mkl on Unix/macOs:

pip install mxnet-cu101mkl


Step 3: If you want to install a specific mxnet-cu101mkl version, add ==<mxnet-cu101mkl version> to the end command line

Example:

pip install mxnet-cu101mkl==1.4.1


Please see the version list below table:

VersionReleased dateCommand
mxnet-cu101mkl 1.6.0.post02020-08-10T06:55:24Windows:

py -m pip install mxnet-cu101mkl==1.6.0.post0

Unix/macOs:

pip install mxnet-cu101mkl==1.6.0.post0

mxnet-cu101mkl 1.5.1.post02019-10-01T22:56:04Windows:

py -m pip install mxnet-cu101mkl==1.5.1.post0

Unix/macOs:

pip install mxnet-cu101mkl==1.5.1.post0

mxnet-cu101mkl 1.5.12019-09-30T04:35:22Windows:

py -m pip install mxnet-cu101mkl==1.5.1

Unix/macOs:

pip install mxnet-cu101mkl==1.5.1

mxnet-cu101mkl 1.5.02019-07-19T21:53:48Windows:

py -m pip install mxnet-cu101mkl==1.5.0

Unix/macOs:

pip install mxnet-cu101mkl==1.5.0

mxnet-cu101mkl 1.4.12019-05-17T07:59:57Windows:

py -m pip install mxnet-cu101mkl==1.4.1

Unix/macOs:

pip install mxnet-cu101mkl==1.4.1


Step 4: Otherwise, you can install mxnet-cu101mkl from local archives:

Download the distribution file from mxnet_cu101mkl-1.6.0.post0-py2.py3-none-manylinux1_x86_64.whl or the specific mxnet-cu101mkl version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_mxnet-cu101mkl_downloaded_file>

On Unix/macOs:

pip install <path_to_mxnet-cu101mkl_downloaded_file>


List distribution:

- mxnet_cu101mkl-1.4.1-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu101mkl-1.5.0-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu101mkl-1.5.0-py2.py3-none-win_amd64.whl
- mxnet_cu101mkl-1.5.1-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu101mkl-1.5.1.post0-py2.py3-none-manylinux1_x86_64.whl
- mxnet_cu101mkl-1.6.0.post0-py2.py3-none-manylinux1_x86_64.whl


Project link:

- Homepage