1. Open the terminal or command prompt and run Python: python3 2. Import thetorchlibrary and check the version: import torch; torch.__version__ The output prints the installed PyTorch version along with the CUDA version. For example, 1.9.0+cu102 means the PyTorch version is 1.9.0, and ...
in <module> tflite_quant_model = converter.convert() File "/share/pkg.7/tensorflow/2.0.0/install/lib/SCC/../python3.6/site-packages/tensorflow_core/lite/python/lite.py", line 446, in convert **converter_kwargs) File "/share/pkg.7/tensorflow/2.0.0/install/lib/SCC/../python3.6/site-...
"tensorflow-io-gcs-filesystem==0.31.0", "tensorflow-io==0.31.0", "tensorflow==2.13.0", "termcolor==2.3.0", "threadpoolctl==3.2.0", "tifffile==2023.7.18", "timm==0.9.2", "tinycss2==1.2.1", "tokenizers==0.13.3", "tomesd==0.1.3", ...
On the Anaconda prompt, issue thepython -Vorpython --versioncommand to check the Python version. Here’s an example. python -V#orpython --version Output: Python 3.8.8 After a few seconds, the version of the Python will be shown.