![]() ![]() ![]() The third line install Tensorflow using the Cuda toolkit 10.1, but Are you wondering why I used toolkit 10.1 when my computer has a CUDA version 11.1? - Well, let me say to you that Anaconda has the amazing option that you can install a Cuda toolkit version less than your driver into your conda environment.The second line activates the created environment, in other words, changes our session to our Tensorflow environment.The first line creates our environment called “Tensorflow 1.15” called tf1 and you can select the python version (I choose version 3.7).Then, set up a conda environment ready to use Tensorflow, once you installed conda, just type: conda create -name tf1 python=3.7 conda activate tf1 conda install -c conda-forge tensorflow-gpu=1.15 conda install -c conda-forge tensorboardx notebook -y conda install -c conda-forge opencv pandas matplotlib tqdm -y conda install -c conda-forge scikit-learn scikit-image -y conda install -c conda-forge numpy=1.16.6 scipy=1.5.3 -y conda install -c anaconda h5py=2.10.0 -y # Some specific package conda install -c anaconda pywget -y conda install -c conda-forge shapely To do this, you can check the installing guide from the website in any OS here. First, you need to install Anaconda on your computer. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |