* compound model now uses compound field, passing num_images in the config, working on passing image indices through ngp sampler
* renaming cuda func, adding torch compound support
* removing unused imports
* getting num images from dataloader instead of config
* fixing pylint and adding todo
* undoing base config change
* adding cone angle and near plane to compound model config
* misc cuda improvements. added cone angle as param
* wandb as default. better organization for experiments
* turn off tensorboard
* disable eval when using viewer
* remove comment
* launch.json
* Model class done, pipeline class still needs more visualization stuffs
* Renaming the BaseDataContainer to DataloaderOutputs and adding documentation
* Pushing more documentation, removing some trivial functions
* Updating dict typing
* Removing config dicts for collider
* Passing tests
* Pushing shell new dataloader
* Saving work, need to fix NGP model's get_loss_dict and Pipeline
* V1 of the ngp pipeline should be done. Need train script and debugging
* Updating with latest instant-ngp code
* Syntax updates from latest ngp graph code
* Linter, removing unneeded code in new NGP graph code
* Style
* Should be good now. Linter is happy and the code is verbatum current instant-ngp
* Everything done except novel view testing code
* Fixing some nitpicks
* Debugging dataloader
* merged master
* WOP. integrating pipeline with configs and notebook demo
* removing model folder
* a lot of name changing from Graph to Model
* in progress... changing trainer to use pipeline... broken right now
* pipeline code runs
* switched to val dataset
* makes run_eval.py work
* updated configs for pipeline change
* fixing test_run_train script
* fixing black and linting
* fix docs
* small updates to trainer
Co-authored-by: Jake Austin <jake-austin@berkeley.edu>
Terrance Wang
Matthew Tancik
Ethan Weber
evonneng
