train on llff flower scene #19

#!/bin/bash

mkdir ./runs/
python -m main_nerf /data3/liuyu/nerf_llff_data/flower/
--mode blender
--upsample_steps 128
--num_rays 1024
--max_ray_batch 1024
--mode llff
--downsample_val 8
--reg_ramp_start_step 3000
--reg_ramp_finish_step 8000
--iters 10000
--min_near 0.2
--spread_loss_strength 1.5e-5
--num_train 3
--use_frustum_reg
--patch_weight_start 0.2
--patch_weight_finish 0.2
--normalise_diffusion_losses
--patch_regulariser_path models/rgbd-patch-diffusion.pt
--frustum_regularise_patches
--apply_geom_reg_to_patches
--downsample_train 8
--patch_reg_start_step 0
--workspace ./runs/train/3_poses/flower/
I used this command and the following error occurred in the flower scene of training llff.:
==> Start Training Epoch 1, lr=0.010000 ...
0% 0/201 [00:00<?, ?it/s]Traceback (most recent call last):
File "/data1/liuyu/miniconda3/envs/diffusionerf/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/data1/liuyu/miniconda3/envs/diffusionerf/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/data1/liuyu/MPI/diffusionerf/main_nerf.py", line 145, in
run(opt)
File "/data1/liuyu/MPI/diffusionerf/main_nerf.py", line 122, in run
trainer.train(train_loader, valid_loader, max_epoch)
File "/data1/liuyu/MPI/diffusionerf/nerf/utils.py", line 657, in train
self.train_one_epoch(train_loader)
File "/data1/liuyu/MPI/diffusionerf/nerf/utils.py", line 776, in train_one_epoch
preds, truths, loss, extra_outputs = self.train_step(data)
File "/data1/liuyu/MPI/diffusionerf/nerf/utils.py", line 412, in train_step
outputs = self.model.render(rays_o, rays_d, staged=False, bg_color=bg_color, perturb=True, force_all_rays=False, **vars(self.opt))
File "/data1/liuyu/MPI/diffusionerf/nerf/renderer.py", line 370, in render
results = _run(rays_o, rays_d, **kwargs)
File "/data1/liuyu/MPI/diffusionerf/nerf/renderer.py", line 129, in run
z_vals = perturb_z_vals(z_vals)
File "/data1/liuyu/MPI/diffusionerf/nerf/rendering_helpers.py", line 31, in perturb_z_vals
assert (deltas >= 0).all()
AssertionError
0% 0/201 [00:00<?, ?it/s]