Then, I decided to put them for testing and experimentation. matplotlib and pandas are not really necessary, but I was asked if matplotlib or pandas would work in PyTorch. As of this writing (August-September 2020), the latest PyTorch version is 1.6.Īlternatively, you could create and install a conda environment a specific PyTorch version with:Ĭonda create -n my-torch python=3.6 pytorch=1.3 torchvision matplotlib pandas -c pytorch -yĬonda will resolve the dependencies and versions of the other packages automatically, or let you know your options. Note: If you you don’t specify a version, conda will install the latest PyTorch. Inside the new environment, install PyTorch and related packages with:Ĭonda install python=3.6 pytorch torchvision matplotlib pandas -c pytorch Open a Python shell and type: > import torch > x torch.rand(5,3. Let’s make sure that everything installed correctly. These you can easily install in the same way. Depending on your project, you may want some other Python libraries such as scikit-learn or pandas. If you prefer do it manually, use this example:Ĭreate a conda environment with conda create -n my-torch python=3.7 -yĪctivate the new environment with conda activate my-torch conda install -c conda-forge matplotlib pytorch torchvision. conda create -n nltkenv -copy -y -q python3 nltk numpy Fetching package metadata. Manual installation of PyTorch in a conda environment Controlling the environment of an application is vital for its.

Environnement conda python version