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Running
on
Zero
File size: 1,755 Bytes
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from partfield.config import default_argument_parser, setup
from lightning.pytorch import seed_everything, Trainer
from lightning.pytorch.strategies import DDPStrategy
from lightning.pytorch.callbacks import ModelCheckpoint
import lightning
import torch
import glob
import os, sys
import numpy as np
import random
def predict(cfg):
seed_everything(cfg.seed)
torch.manual_seed(0)
random.seed(0)
np.random.seed(0)
checkpoint_callbacks = [ModelCheckpoint(
monitor="train/current_epoch",
dirpath=cfg.output_dir,
filename="{epoch:02d}",
save_top_k=100,
save_last=True,
every_n_epochs=cfg.save_every_epoch,
mode="max",
verbose=True
)]
trainer = Trainer(devices=-1,
accelerator="gpu",
precision="16-mixed",
strategy=DDPStrategy(find_unused_parameters=True),
max_epochs=cfg.training_epochs,
log_every_n_steps=1,
limit_train_batches=3500,
limit_val_batches=None,
callbacks=checkpoint_callbacks
)
from partfield.model_trainer_pvcnn_only_demo import Model
model = Model(cfg)
if cfg.remesh_demo:
cfg.n_point_per_face = 10
trainer.predict(model, ckpt_path=cfg.continue_ckpt)
def main():
parser = default_argument_parser()
npz_file = "/scratch/shared/beegfs/ruining/data/articulate-3d/points-all-dinov3/7265-combination_000-pos_000.npz"
datum = np.load(npz_file)
pc = datum['points']
args = parser.parse_args()
cfg = setup(args, freeze=False)
predict(cfg)
if __name__ == '__main__':
main() |