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Environment, conda, pip #87
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Supply a GPU environment: 1. create virtual env with python=3.6
2. activate it
3. install the correct CUDA, cuDNN with conda.
4. configure the system paths in current terminal temporarily
5. install tensorflow
6. Verify the GPU setup
7. pip install
I make sure this virtual env work well on my device NVIDIA GeForce RTX 4060 Ti |
Thanks for sharing this! I'm really glad to hear that you got it working well on the RTX 4060 Ti. Would you be willing to submit a PR to update this? Please include changes to the ReadMe and requirements.txt. |
I have submitted a PR to update environment files. Is my operation correct? |
Thanks, this looks great! Could you open a PR for these changes? One small note: I think we can remove "fairchem" as it doesn't seem relevant to this repo. |
I'm sorry for forgetting to edit the text. I have fixed the mistake and opened a PR. |
scipy==0.19.0
numpy==1.19.5
pandas==0.20.3
pyyaml==5.1
statsmodels==0.10.2
tensorflow==1.4.0
numexpr==2.6.8
tables==3.7.0
The environment provided by author is too old, and many packages lose efficacy. These are some clear and defined packages that upgrades the requirements.txt. Users can create the new environment by below code:
conda create -n dcrnn python=3.6
conda activate dcrnn
pip install -r requirements.txt
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