- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Environment :: GPU :: NVIDIA CUDA :: 11.2
- Programming Language :: Python
- Programming Language :: Python :: 3
- Programming Language :: Python :: 3 :: Only
- Programming Language :: Python :: 3.1
- Programming Language :: Python :: 3.7
- Programming Language :: Python :: 3.8
- Programming Language :: Python :: 3.9
- Programming Language :: Python :: 3.10
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics
- Topic :: Software Development
- Topic :: Software Development :: Libraries
- Topic :: Software Development :: Libraries :: Python Modules
When you know about this project and you want to new install tensorflow-aarch64 to support your project or you get trouble as ModuleNotFoundError: No module named "tensorflow-aarch64" or ImportError: cannot import name "tensorflow-aarch64" in your project, let follow this tutorial to install tensorflow-aarch64
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 Windows (CMD):
- Install virtualenv - if you installed it, please ignore
py -m pip install --user virtualenv
- Create a virtual environment
py -m venv test_tensorflow-aarch64_env
- Active the virtual environment
test_tensorflow-aarch64_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_tensorflow-aarch64_env
- Active the virtual environment
source test_tensorflow-aarch64_env/bin/active
To install tensorflow-aarch64 on Windows(CMD):
py -m pip install tensorflow-aarch64
To install tensorflow-aarch64 on Unix/macOs:
pip install tensorflow-aarch64
Example:
pip install tensorflow-aarch64==1.2
Please see the version list below table:
Version | Released date | Command |
---|---|---|
tensorflow-aarch64 2.9.1 | 2022-06-07T12:09:00 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.9.0 | 2022-05-24T08:59:15 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.8.2 | 2022-06-08T14:25:32 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.8.1 | 2022-05-26T08:35:19 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.8.0 | 2022-02-23T14:06:36 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.7.3 | 2022-06-08T14:11:15 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.7.2 | 2022-06-08T14:02:55 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.7.1 | 2022-02-23T13:03:23 | Windows: Unix/macOs:
|
tensorflow-aarch64 2.7.0 | 2021-11-12T18:15:06 | Windows: Unix/macOs:
|
tensorflow-aarch64 1.2 | 2017-11-16T01:15:20 | Windows: Unix/macOs:
|
Download the distribution file from tensorflow_aarch64-2.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl or the specific tensorflow-aarch64 version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_tensorflow-aarch64_downloaded_file>
On Unix/macOs:
pip install <path_to_tensorflow-aarch64_downloaded_file>
List distribution:
Project link: