torch==1.12 and requirements.txt update (#302)

* cleaning up requirements.txt and adding versions

* need to update github actions, docs, and make optional dependencies work

* updated documentation

* set directory

* new functorch version

* updated caching

* fixed hash

docs/reference/contributing.md

@@ -40,7 +40,7 @@ In order to merge changes to the code base, all of these checks must be passing.
 To install the required packages:
 
 ```bash
-pip install -r docs/requirements.txt
+pip install -e .[docs]
 ```
 
 You may also need to install [pandoc](https://pandoc.org/). If you are using `conda` you can run the following:

docs/requirements.txt

@@ -1,8 +0,0 @@
-furo==2022.4.7
-readthedocs-sphinx-search==0.1.2
-myst-nb==0.16.0
-nbformat==5.4.0
-sphinx==4.5.0
-sphinxemoji==0.2.0
-sphinx-copybutton==0.5.0
-sphinx-design==0.2.0

docs/tutorials/quickstart.md

@@ -31,14 +31,7 @@ Clone the repo
 git clone git@github.com:plenoptix/nerfactory.git
 ```
 
-Install dependencies
-
-```bash
-cd nerfactory
-pip install -r environment/requirements.txt
-```
-
-Install nerfactory as a library
+Install dependencies and nerfactory as a library
 
 ```bash
 pip install -e .
@@ -106,13 +99,6 @@ Additionally, if you run everything with the default configuration, by default,
 tensorboard --logdir outputs
 ```
 
-Or the following:
-
-```bash
-export TENSORBOARD_PORT=<port>
-bash environment/run_tensorboard.sh
-```
-
 # Rendering a Trajectory
 
 To evaluate the trained NeRF, we provide an evaluation script that allows you to do benchmarking (see our [benchmarking workflow](../tooling/benchmarking.md)) or to render out the scene with a custom trajectory and save the output to a video.