I got error on dataset.py. Sizes of tensors must match except in dimension 0. Expected size 4 but got size 5 for tensor number 1 in the list. about nvdiffrec HOT 2 CLOSED

error message
`Config / Flags:

config configs/kyara_rescaled.json
iter 5000
batch 10
spp 1
layers 1
train_res [512, 512]
display_res [512, 512]
texture_res [2048, 2048]
display_interval 0
save_interval 100
learning_rate [0.03, 0.01]
min_roughness 0.08
custom_mip False
random_textures True
background white
loss logl1
out_dir out/kyara
ref_mesh data/nerd/kyara
base_mesh None
validate True
mtl_override None
dmtet_grid 64
mesh_scale 2.5
env_scale 1.0
envmap None
display [{'bsdf': 'kd'}, {'bsdf': 'ks'}, {'bsdf': 'normal'}]
camera_space_light True
lock_light False
lock_pos False
sdf_regularizer 0.2
laplace relative
laplace_scale 10000.0
pre_load True
kd_min [0.03, 0.03, 0.03]
kd_max [0.8, 0.8, 0.8]
ks_min [0, 0.08, 0]
ks_max [0, 1.0, 1.0]
nrm_min [-1.0, -1.0, 0.0]
nrm_max [1.0, 1.0, 1.0]
cam_near_far [0.1, 1000.0]
learn_light True
local_rank 0
multi_gpu False

DatasetLLFF: 17 images with shape [512, 512]
DatasetLLFF: auto-centering at [-0.41304994 2.6057422 8.97906 ]
DatasetLLFF: 17 images with shape [512, 512]
DatasetLLFF: auto-centering at [-0.41304994 2.6057422 8.97906 ]
Encoder output: 32 dims
Traceback (most recent call last):
File "train.py", line 594, in
geometry, mat = optimize_mesh(glctx, geometry, mat, lgt, dataset_train, dataset_validate,
File "train.py", line 381, in optimize_mesh
for it, target in enumerate(dataloader_train):
File "/home/user/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 521, in next
data = self._next_data()
File "/home/user/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/user/torch/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
return self.collate_fn(data)
File "/home/user/torchtest/nvdiffrec/dataset/dataset.py", line 31, in collate
'img' : torch.cat(list([item['img'] for item in batch]), dim=0)
RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 4 but got size 5 for tensor number 1 in the list.`

from nvdiffrec.

It worked after correcting the bit depth

from nvdiffrec.