- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Environment :: GPU :: NVIDIA CUDA :: 11.0
- Intended Audience :: Education
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics
When you know about this project and you want to new install tensorflow-rocm-enhanced to support your project or you get trouble as ModuleNotFoundError: No module named "tensorflow-rocm-enhanced" or ImportError: cannot import name "tensorflow-rocm-enhanced" in your project, let follow this tutorial to install tensorflow-rocm-enhanced
In Windows (CMD):
py -m pip --versionIn Unix/macOS:
python3 -m pip --versionEnsure pip, setuptools, and wheel are up to date:
In Windows (CMD):
py -m pip install --upgrade pip setuptools wheelIn Unix/macOS:
python3 -m pip install --upgrade pip setuptools wheelOptional - 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-rocm-enhanced_env- Active the virtual environment
test_tensorflow-rocm-enhanced_env\Scripts\activeIn Unix/macOS:
- Install virtualenv - if you installed it, please ignore
pip3 install virtualenv- Create a virtual environment
python3 -m venv test_tensorflow-rocm-enhanced_env- Active the virtual environment
source test_tensorflow-rocm-enhanced_env/bin/activeTo install tensorflow-rocm-enhanced on Windows(CMD):
py -m pip install tensorflow-rocm-enhancedTo install tensorflow-rocm-enhanced on Unix/macOs:
pip install tensorflow-rocm-enhancedExample:
pip install tensorflow-rocm-enhanced==0.0.1Please see the version list below table:
| Version | Released date | Command |
|---|---|---|
| tensorflow-rocm-enhanced 2.4.3 | 2021-05-21T16:30:19 | Windows: |
| tensorflow-rocm-enhanced 2.4.2 | 2021-04-12T14:50:58 | Windows: |
| tensorflow-rocm-enhanced 2.4.1 | 2021-03-29T03:35:08 | Windows: |
| tensorflow-rocm-enhanced 2.4.0 | 2020-12-22T02:55:15 | Windows: |
| tensorflow-rocm-enhanced 2.3.7 | 2021-05-21T16:25:11 | Windows: |
| tensorflow-rocm-enhanced 2.3.6 | 2021-04-11T05:37:07 | Windows: |
| tensorflow-rocm-enhanced 2.3.5 | 2021-03-29T03:12:17 | Windows: |
| tensorflow-rocm-enhanced 2.3.4 | 2020-12-22T02:53:56 | Windows: |
| tensorflow-rocm-enhanced 2.3.3 | 2020-12-08T01:47:05 | Windows: |
| tensorflow-rocm-enhanced 2.3.2 | 2020-10-30T18:40:59 | Windows: |
| tensorflow-rocm-enhanced 2.3.1 | 2020-09-24T00:15:59 | Windows: |
| tensorflow-rocm-enhanced 2.3.0 | 2020-08-24T21:37:45 | Windows: |
| tensorflow-rocm-enhanced 1.15.8 | 2021-05-21T16:21:52 | Windows: |
| tensorflow-rocm-enhanced 1.15.7 | 2021-04-11T05:35:57 | Windows: |
| tensorflow-rocm-enhanced 1.15.6 | 2021-03-29T03:11:13 | Windows: |
| tensorflow-rocm-enhanced 1.15.5 | 2020-12-22T02:53:10 | Windows: |
| tensorflow-rocm-enhanced 1.15.4 | 2020-12-08T01:46:23 | Windows: |
| tensorflow-rocm-enhanced 1.15.3 | 2020-10-30T18:40:07 | Windows: |
| tensorflow-rocm-enhanced 0.0.1 | 2019-10-03T22:44:02 | Windows: |
Download the distribution file from tensorflow_rocm_enhanced-2.4.3-cp38-cp38-manylinux1_x86_64.whl or the specific tensorflow-rocm-enhanced version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_tensorflow-rocm-enhanced_downloaded_file>On Unix/macOs:
pip install <path_to_tensorflow-rocm-enhanced_downloaded_file>List distribution:
Project link: