add CUDA Toolkit to optional dependencies#2219
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In this way, one can install CUDA Toolkit and cuDNN via pip if one does not want to install them manually. These packages are provided officially by NVIDIA and can be dlopen before tensorflow. Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Codecov ReportBase: 74.93% // Head: 74.93% // Increases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## devel #2219 +/- ##
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Coverage 74.93% 74.93%
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Files 203 203
Lines 20104 20122 +18
Branches 1438 1438
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+ Hits 15064 15079 +15
- Misses 4134 4137 +3
Partials 906 906
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wanghan-iapcm
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Jan 4, 2023
mingzhong15
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Jan 15, 2023
In this way, one can install CUDA Toolkit and cuDNN via pip if one does not want to install them manually. These packages are provided officially by NVIDIA and can be dynamically opened before importing TensorFlow. Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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In this way, one can install CUDA Toolkit and cuDNN via pip if one does not want to install them manually. These packages are provided officially by NVIDIA and can be dynamically opened before importing TensorFlow.