Is there a way to install large pip packages on basic droplet instances. There seems like some process which anneals the network bandwith after 700mbs and evantually kills pip - preventing the package from installing. Note process id 17918 was the pip process.
python -m pip install torch
Here is the shell log of the above command failing:
(tinygrad) root@transformer-cpu ~/tinygrad # â¯â¯â¯ python -m pip install torch â 1 master Collecting torch Downloading torch-1.7.1-cp38-cp38-manylinux1_x86_64.whl (776.8 MB) |ââââââââââââââââââââââââââââââââ| 773.3 MB 73 kB/s eta 0:00:48 |ââââââââââââââââââââââââââââââââ| 776.0 MB 7.3 kB/s eta 0:01:47 17918 killed python -m pip install torch
This textbox defaults to using Markdown to format your answer.
You can type !ref in this text area to quickly search our full set of tutorials, documentation & marketplace offerings and insert the link!
These answers are provided by our Community. If you find them useful, show some love by clicking the heart. If you run into issues leave a comment, or add your own answer to help others.
Join our DigitalOcean community of over a million developers for free! Get help and share knowledge in Q&A, subscribe to topics of interest, and get courses and tools that will help you grow as a developer and scale your project or business.
Click below to sign up and get $100 of credit to try our products over 60 days!