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How to install intel-tensorflow-avx512 via python pip




intel-tensorflow-avx512 - TensorFlow is an open source machine learning framework for everyone., it belongs to Classifiers:

- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Environment :: GPU :: NVIDIA CUDA :: 11.2
- Intended Audience :: Education
- Intended Audience :: Science/Research
- License :: OSI Approved :: Apache Software License
- Programming Language :: Python :: 3 :: Only
- Programming Language :: Python :: 3.1
- Programming Language :: Python :: 3.10
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics

When you know about this project and you want to new install intel-tensorflow-avx512 to support your project or you get trouble as ModuleNotFoundError: No module named "intel-tensorflow-avx512" or ImportError: cannot import name "intel-tensorflow-avx512" in your project, let follow this tutorial to install intel-tensorflow-avx512



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_intel-tensorflow-avx512_env

- Active the virtual environment

test_intel-tensorflow-avx512_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_intel-tensorflow-avx512_env

- Active the virtual environment

source test_intel-tensorflow-avx512_env/bin/active


Step 2: OK, now, let flow below content to start the installation intel-tensorflow-avx512

To install intel-tensorflow-avx512 on Windows(CMD):

py -m pip install intel-tensorflow-avx512

To install intel-tensorflow-avx512 on Unix/macOs:

pip install intel-tensorflow-avx512


Step 3: If you want to install a specific intel-tensorflow-avx512 version, add ==<intel-tensorflow-avx512 version> to the end command line

Example:

pip install intel-tensorflow-avx512==0.0.1                                                                          yanked


Please see the version list below table:

VersionReleased dateCommand
intel-tensorflow-avx512 2.9.12022-06-02T04:15:59Windows:

py -m pip install intel-tensorflow-avx512==2.9.1

Unix/macOs:

pip install intel-tensorflow-avx512==2.9.1

intel-tensorflow-avx512 2.8.02022-02-14T16:44:29Windows:

py -m pip install intel-tensorflow-avx512==2.8.0

Unix/macOs:

pip install intel-tensorflow-avx512==2.8.0

intel-tensorflow-avx512 2.7.02021-11-17T02:03:02Windows:

py -m pip install intel-tensorflow-avx512==2.7.0

Unix/macOs:

pip install intel-tensorflow-avx512==2.7.0

intel-tensorflow-avx512 2.6.02021-08-25T18:35:01Windows:

py -m pip install intel-tensorflow-avx512==2.6.0

Unix/macOs:

pip install intel-tensorflow-avx512==2.6.0

intel-tensorflow-avx512 2.5.02021-05-24T22:10:23Windows:

py -m pip install intel-tensorflow-avx512==2.5.0

Unix/macOs:

pip install intel-tensorflow-avx512==2.5.0

intel-tensorflow-avx512 2.4.02021-01-29T03:45:35Windows:

py -m pip install intel-tensorflow-avx512==2.4.0

Unix/macOs:

pip install intel-tensorflow-avx512==2.4.0

intel-tensorflow-avx512 2.3.02020-09-17T17:37:28Windows:

py -m pip install intel-tensorflow-avx512==2.3.0

Unix/macOs:

pip install intel-tensorflow-avx512==2.3.0

intel-tensorflow-avx512 0.0.1 yanked2020-08-10T17:35:09Windows:

py -m pip install intel-tensorflow-avx512==0.0.1                                                                          yanked

Unix/macOs:

pip install intel-tensorflow-avx512==0.0.1                                                                          yanked


Step 4: Otherwise, you can install intel-tensorflow-avx512 from local archives:

Download the distribution file from intel_tensorflow_avx512-2.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl or the specific intel-tensorflow-avx512 version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_intel-tensorflow-avx512_downloaded_file>

On Unix/macOs:

pip install <path_to_intel-tensorflow-avx512_downloaded_file>


List distribution:

- intel_tensorflow_avx512-0.0.1-py3-none-any.whl
- intel_tensorflow_avx512-2.3.0-cp35-cp35m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.3.0-cp36-cp36m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.3.0-cp37-cp37m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.3.0-cp38-cp38-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.4.0-cp36-cp36m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.4.0-cp37-cp37m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.4.0-cp38-cp38-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.5.0-cp36-cp36m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.5.0-cp37-cp37m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.5.0-cp38-cp38-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.5.0-cp39-cp39-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.6.0-cp36-cp36m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.6.0-cp37-cp37m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.6.0-cp38-cp38-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.6.0-cp39-cp39-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.7.0-cp37-cp37m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.7.0-cp38-cp38-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.7.0-cp39-cp39-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.8.0-cp310-cp310-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.8.0-cp37-cp37m-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.8.0-cp38-cp38-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.8.0-cp39-cp39-manylinux2010_x86_64.whl
- intel_tensorflow_avx512-2.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.10.dev202230-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.11.dev202242-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)
- intel_tensorflow_avx512-2.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (python version >=3.7)


Project link:

- Homepage
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