在跑例程的时候报错了，应该怎么改？？

[TongTongHou4876]

Version Information:
BasicSR: 1.3.4.4
PyTorch: 1.7.0+cu110
TorchVision: 0.8.0
2024-08-13 23:20:34,663 INFO:
name: train_v2
model_type: PyDiffModel
num_gpu: 1
manual_seed: 0
datasets:[
train:[
name: train
type: LOL_Dataset
gt_root: ../dataset/LOLdataset/our485/high
input_root: ../dataset/LOLdataset/our485/low
input_mode: crop
crop_size: 256
concat_with_position_encoding: True
concat_with_hiseq: True
hiseq_random_cat: True
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
use_flip: True
bright_aug: True
bright_aug_range: [0.5, 1.5]
use_shuffle: True
num_worker_per_gpu: 8
batch_size_per_gpu: 2
dataset_enlarge_ratio: 1
prefetch_mode: None
phase: train
]
val:[
name: validation
type: LOL_Dataset
gt_root: ../dataset/LOLdataset/eval15/high
input_root: ../dataset/LOLdataset/eval15/low
concat_with_hiseq: True
input_mode: pad
divide: 32
concat_with_position_encoding: True
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
phase: val
]
]
network_unet:[
type: SR3UNet
in_channel: 13
out_channel: 3
inner_channel: 64
norm_groups: 32
channel_mults: [1, 2, 4, 8, 8]
attn_res: [16]
res_blocks: 2
dropout: 0.2
divide: 16
]
network_global_corrector:[
type: GlobalCorrector
normal01: True
]
network_ddpm:[
type: GaussianDiffusion
image_size: 128
channels: 3
conditional: True
color_limit: -1
pyramid_list: [1, 1, 2, 2]
]
ddpm_schedule:[
schedule: linear
n_timestep: 2000
linear_start: 1e-06
linear_end: 0.01
]
path:[
pretrain_network_g: None
param_key_g: params
strict_load_g: False
pretrain_network_d: None
resume_state: None
ignore_resume_networks: ['network_identity']
experiments_root: /home/htt/Documents/PyDIff/experiments/train_v2
models: /home/htt/Documents/PyDIff/experiments/train_v2/models
training_states: /home/htt/Documents/PyDIff/experiments/train_v2/training_states
log: /home/htt/Documents/PyDIff/experiments/train_v2
visualization: /home/htt/Documents/PyDIff/experiments/train_v2/visualization
]
train:[
cs_on_shift: True
vis_train: True
vis_num: 150
train_type: ddpm_cs_pyramid
t_border: 1000
input_mode: crop
crop_size: [160, 160]
optim_g:[
type: Adam
lr: 0.0001
]
optim_d:[
type: Adam
lr: 0.002
]
optim_component:[
type: Adam
lr: 0.002
]
scheduler:[
type: MultiStepLR
milestones: [50000, 75000, 100000, 150000, 200000]
gamma: 0.5
]
total_iter: 500000
warmup_iter: -1
]
val:[
split_log: True
fix_seed: True
color_gamma: 1.0
use_up_v2: True
pyramid_list: [1, 1, 2, 2]
ddim_eta: 1.0
ddim_timesteps: 4
use_kind_align: True
cal_all: True
show_all: True
val_freq: 5000.0
save_img: True
metrics:[
psnr:[
type: calculate_psnr
crop_border: 0
test_y_channel: False
]
ssim:[
type: calculate_ssim_lol
]
lpips:[
type: calculate_lpips_lol
]
]
]
logger:[
print_freq: 100
save_checkpoint_freq: 5000.0
use_tb_logger: True
wandb:[
project: None
resume_id: None
]
]
dist_params:[
backend: nccl
port: 29500
]
find_unused_parameters: True
dist: True
rank: 0
world_size: 1
auto_resume: False
is_train: True
root_path: /home/htt/Documents/PyDIff/PyDiff

2024-08-13 23:20:34,688 INFO: Dataset [LOL_Dataset] - train is built.
num_iter_per_epoch=0
total_iters=500000
Traceback (most recent call last):
File "PyDiff/pydiff/train.py", line 12, in
train_pipeline(root_path)
File "/home/htt/Documents/PyDIff/BasicSR-light/basicsr/train.py", line 135, in train_pipeline
result = create_train_val_dataloader(opt, logger)
File "/home/htt/Documents/PyDIff/BasicSR-light/basicsr/train.py", line 63, in create_train_val_dataloader
total_epochs = math.ceil(total_iters / (num_iter_per_epoch))
ZeroDivisionError: division by zero
Traceback (most recent call last):
File "/home/htt/anaconda3/envs/PyDiff/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/htt/anaconda3/envs/PyDiff/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/htt/anaconda3/envs/PyDiff/lib/python3.7/site-packages/torch/distributed/launch.py", line 260, in
main()
File "/home/htt/anaconda3/envs/PyDiff/lib/python3.7/site-packages/torch/distributed/launch.py", line 256, in main
cmd=cmd)
subprocess.CalledProcessError: Command '['/home/htt/anaconda3/envs/PyDiff/bin/python', '-u', 'PyDiff/pydiff/train.py', '--local_rank=0', '-opt', 'PyDiff/options/train_v2.yaml', '--launcher', 'pytorch']' returned non-zero exit status 1.