From 470812fab699bb65d6dc657da6dd2e98e3e16872 Mon Sep 17 00:00:00 2001
From: evonneng <evonneng@users.noreply.github.com>
Date: Fri, 6 May 2022 21:57:51 -0700
Subject: [PATCH] removed erroneous test default config

---
 tests/configs/test_default.yml | 88 ----------------------------------
 1 file changed, 88 deletions(-)
 delete mode 100644 tests/configs/test_default.yml

diff --git a/tests/configs/test_default.yml b/tests/configs/test_default.yml
deleted file mode 100644
index 3978d3462..000000000
--- a/tests/configs/test_default.yml
+++ /dev/null
@@ -1,88 +0,0 @@
-dry_run: true
-
-defaults:
-  # This makes the logging module logs colorful
-  - override hydra/job_logging: colorlog
-  - override hydra/hydra_logging: colorlog
-
-logging_configs:
-  steps_per_log: 10
-  # stats tracker logs configurable training stats per iteration to terminal (e.g. rays/s, PSNR)
-  enable_stats: True
-  stats_tracker:
-    max_history: 10
-    stats_to_track: [ITER_LOAD_TIME, ITER_TRAIN_TIME] # see mattport/utils/stats_tracker.py for options
-  # writer logs losses and images per iteration
-  writer: 
-    type: TensorboardWriter
-    save_dir: './'
-  # profiler logs run times of functions and prints at end of training
-  enable_profiler: True
-
-hydra:
-  run:
-    # Configure output dir of each experiment programmatically from the arguments
-    # Example "outputs/mnist/classifier/baseline/2021-03-10-141516"
-    dir: outputs/${experiment_name}/${method_name}/${now:%Y-%m-%d_%H%M%S}
-
-experiment_name: blender_lego
-method_name: vanilla_nerf
-
-# pretrained loading options
-resume_train:
-  load_dir: # pretrained model directory
-  load_step: # pretrained model's step number
-
-max_num_iterations: 10
-steps_per_save: null
-steps_per_test: 100
-
-model_dir: /tmp/mattport_models/
-
-# dataset options
-dataset:
-  data_directory: data/blender/lego_test
-  dataset_type: blender
-  downscale_factor: 4
-
-# dataloader options
-dataloader:
-  num_workers: 4
-  shuffle: true
-  num_images_to_sample_from: 1
-  num_rays_per_batch: 1024
-  num_times_to_repeat_images: 40
-
-# optimizer options
-param_groups:
-  fields:
-    optimizer:
-      type: Adam
-      lr: 1e-4
-    scheduler:
-      type: StepLR
-      step_size: 30 #  Period of learning rate decay.
-      gamma: 0.1 # Multiplicative factor of learning rate decay. Default: 0.1.
-  cameras:
-    optimizer:
-      type: SGD
-      lr: 1e-4
-    scheduler:
-      type: ExponentialLR
-      gamma: 0.1
-
-# machine options
-machine_config:
-  num_gpus: 1
-  num_machines: 1
-  machine_rank: 0
-  dist_url: auto
-
-# graph options
-graph:
-  # NOTE(ethan): currently setting to nothing b/c we're still designing the config format...
-  _target_: mattport.nerf.graph.vanilla_nerf.NeRFGraph
-  near_plane: 1.0
-  far_plane: 6.0
-  num_coarse_samples: 64
-  num_importance_samples: 64