just started using your Lambda stack. Seems like a good way to start training our models. However I have certain queries:
is there an internal guide for getting started.
2)Also which all packages have been installed and there install locations. Need to know as it will help avoid installing redundant packages. The information on the web page is too sparse.
3)Removing undesired packages or the entire stack.
There currently is not a guide to using Lambda Stack. To get started, just boot up a python REPL and go:
$ python
You’ll note that with a Lambda Stack install, TensorFlow, Torch, and Caffe are all installed with full GPU support.
TensorFlow
>>> import tensorflow as tf
>>> s = tf.Session()
PyTorch
>>> import torch
Caffe
>>> import caffe
To list the installed packages you can use the apt-cache depends command. Unless you feel very confident in your linux system administration abilities, I would recommend you keep all of the installed packages. That said, here’s a semi-complete list. You’ll definitely want to keep all of the hard dependencies of each package you want. Simply type sudo apt-cache depends <package_name>. You’ll then know what packages you can’t remove.