update readmes

scripts/README.md

@@ -1,52 +0,0 @@
-# Tooling
-
-1. One can use [autoenv](https://github.com/hyperupcall/autoenv) to make setting up the environment and environment variables easier. This will run the `.envrc` file upon entering the `/path/to/pyrad` folder. It will also remove the environment parameters upon leaving.
-
-```
-# Install direnv.
-sudo apt install direnv
-
-# Add the following line to the bottom of your ~/.bashrc file.
-eval "$(direnv hook bash)"
-
-# Populate your .envrc with commands you want to run. Then, run the following to allow updates.
-cd /path/to/pyrad
-direnv allow .
-```
-
-2. To run local **github actions**, you can run:
-
-```
-python scripts/debugging/run_actions.py
-```
-
-3. To run local **profiling** to get a flame graph, make sure [pyspy](https://github.com/benfred/py-spy) is installed and you can run:
-
-```
-pip install py-spy
-
-## for flame graph
-./scripts/debugging/profile.sh -t flame -o flame.svg -p scripts/run_train.py data/dataset=blender_lego
-
-## for live view of functions
-./scripts/debugging/profile.sh -t top -p scripts/run_train.py data/dataset=blender_lego
-```
-
-4. For debugging with a debugger.
-
-```
-ipython --pdb scripts/run_train.py
-```
-
-5. **Benchmarking** For launching training jobs automatically on blender dataset
-
-```
-./scripts/benchmarking/launch_train_blender.sh <gpu0> <gpu1> ... <gpu7>
-```
-
-For testing specific methods, see scripts/benchmarking/run_benchmark.py.
-Modify the `BENCH` variable to specify which jobs ("ckpt_dir") and methods ("method") you want benchmarked. Then run
-
-```
-python scripts/benchmarking/run_benchmark.py
-```