mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-11 02:24:38 +08:00
69 lines
2.4 KiB
Python
69 lines
2.4 KiB
Python
"""
|
|
Default test to make sure train runs
|
|
"""
|
|
import os
|
|
|
|
import pytest
|
|
from hydra import compose, initialize
|
|
from hydra.core.global_hydra import GlobalHydra
|
|
from omegaconf import DictConfig
|
|
|
|
from scripts.run_train import main
|
|
|
|
BLACKLIST = ["graph_semantic_nerf.yaml", "graph_mipnerf_360.yaml", "graph_instant_ngp.yaml"]
|
|
|
|
|
|
def set_reduced_config(config: DictConfig):
|
|
"""Reducing the config settings to speedup test"""
|
|
config.machine.num_gpus = 0
|
|
config.trainer.max_num_iterations = 2
|
|
# reduce dataset factors; set dataset to test
|
|
# switch to using the vanilla ImageDataset class
|
|
config.data.image_dataset_train._target_ = ( # pylint: disable=protected-access
|
|
"pyrad.data.image_dataset.ImageDataset"
|
|
)
|
|
config.data.dataset_inputs_train.data_directory = "tests/data/lego_test"
|
|
config.data.dataset_inputs_train.dataset_format = "blender"
|
|
config.data.dataset_inputs_train.downscale_factor = 16
|
|
config.data.dataloader_train.image_sampler.num_images_to_sample_from = 1
|
|
config.data.dataloader_train.pixel_sampler.num_rays_per_batch = 4
|
|
config.data.image_dataset_eval._target_ = ( # pylint: disable=protected-access
|
|
"pyrad.data.image_dataset.ImageDataset"
|
|
)
|
|
config.data.dataset_inputs_eval.data_directory = "tests/data/lego_test"
|
|
config.data.dataset_inputs_eval.dataset_format = "blender"
|
|
config.data.dataset_inputs_eval.downscale_factor = 16
|
|
# reduce graph factors
|
|
config.graph.num_coarse_samples = 4
|
|
config.graph.num_importance_samples = 4
|
|
# set logging to tmp
|
|
config.logging.writer.TensorboardWriter.log_dir = "/tmp/"
|
|
# remove viewer
|
|
config.viewer.enable = False
|
|
|
|
# graph specific config settings
|
|
if config.method_name == "instant_ngp":
|
|
config.graph.field_implementation = "torch"
|
|
|
|
return config
|
|
|
|
|
|
@pytest.mark.filterwarnings("ignore::DeprecationWarning")
|
|
def test_run_train():
|
|
"""test run train script works properly"""
|
|
all_configs = [f for f in os.listdir("configs/") if f.endswith(".yaml")] # relative to run path
|
|
for config_path in all_configs:
|
|
print(f"testing run for: {config_path}")
|
|
if config_path in BLACKLIST:
|
|
continue
|
|
initialize(version_base="1.2", config_path="../configs/") # relative to test path
|
|
config = compose(config_path)
|
|
config = set_reduced_config(config)
|
|
main(config)
|
|
|
|
GlobalHydra.instance().clear()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test_run_train()
|