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| technical:recipes:tensorflow-in-virtualenv [2025-10-28 16:09] – [VALET Package Definition] thuachen | technical:recipes:tensorflow-in-virtualenv [2025-11-06 15:30] (current) – [Create TensorFlow Virtualenv] thuachen |
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| tensorflow 2.19.0 cpu_py312h69ecde4_53 conda-forge | tensorflow 2.19.0 cpu_py312h69ecde4_53 conda-forge |
| </code> | </code> |
| All versions of the TensorFlow virtual environment will be stored in the directory ''$WORKDIR/sw/tensorflow''; each virtual environment must have a unique name that will become the VALET version of TensorFlow. In this tutorial, we will install the Tensorflow version 2.17.0 with and without the CUDA support. An appropriate version for the former would be ''2.17.0:cpu'' and the latter ''2.17.0:cuda''. Those versions can be translated to VALET-friendly directory names: | All versions of the TensorFlow virtual environment will be stored in the directory ''$WORKDIR/sw/tensorflow''; each virtual environment must have a unique name that will become the VALET version of TensorFlow. In this tutorial, we will install the Tensorflow version 2.17.0 with the CPU support and with CUDA support. An appropriate version for the former would be ''2.17.0:cpu'' and the latter ''2.17.0:cuda''. Those versions can be translated to VALET-friendly directory names: |
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| <code bash> | <code bash> |
| [/work/my_workgroup/sw/valet/tensorflow.vpkg_yaml] | [/work/my_workgroup/sw/valet/tensorflow.vpkg_yaml] |
| tensorflow TensorFlow Python environments | tensorflow TensorFlow Python environments |
| * 2.19.0:cpu 2.19.0 with GPU support | * 2.17.0:cpu 2.17.0 with GPU support |
| 2.19.0:cuda 2.19.0 with CUDA support | 2.17.0:cuda 2.17.0 with CUDA support |
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| : | : |