Errors when trying to run the provided test

[ArielleZhang]

I am getting this error:

--------------Options--------------
activation: leakyrelu
add_noise: True
attn_D: False
attn_E: False
attn_G: True
batch_size: 1
checkpoints_dir: ./checkpoints
coarse_or_refine: refine
data_powers: 5
display_env: main
display_id: None
display_port: 8092
display_server: http://localhost
display_single_pane_ncols: 0
display_winsize: 256
down_layers: 4
dropout: 0.0
embed_dim: 512
embed_type: learned
epoch: latest
eval: False
fine_size: 512
fixed_size: 256
gpu_ids: 0
how_many: inf
img_file: ./examples/celeba/img/
img_nc: 3
init_gain: 0.02
init_type: kaiming
isTrain: False
kernel_E: 1
kernel_G: 3
kernel_T: 1
lipip_path: ./model/lpips/vgg.pth
load_size: 512
mask_file: ./examples/celeba/mask/
mask_type: 3
mid_layers: 6
model: tc
nThreads: 8
n_decoders: 0
n_encoders: 12
n_layers_D: 3
n_layers_G: 4
name: celeba
ndf: 32
netD: style
netE: diff
netG: diff
netT: original
ngf: 32
no_flip: False
no_shuffle: True
norm: pixel
nsampling: 1
num_embeds: 1024
num_res_blocks: 2
phase: test
preprocess: scale_shortside
results_dir: ./results
reverse_mask: False
top_k: 10
use_pos_G: False
which_iter: 0
word_size: 16
----------------End----------------
testing images = 13
model [TC] was created
creating web directory ./results\celeba\test_latest
how many is 13
Traceback (most recent call last):
  File "E:\1-EngSci3\1-ECE324\Triple-Dots\TFill\test.py", line 25, in <module>
    for i, data in enumerate(islice(dataset, opt.how_many)):
  File "D:\programs\anaconda3\envs\TFill\lib\site-packages\torch\utils\data\dataloader.py", line 359, in __iter__
    return self._get_iterator()
  File "D:\programs\anaconda3\envs\TFill\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
    return _MultiProcessingDataLoaderIter(self)
  File "D:\programs\anaconda3\envs\TFill\lib\site-packages\torch\utils\data\dataloader.py", line 918, in __init__
    w.start()
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\process.py", line 121, in start
    self._popen = self._Popen(self)
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\context.py", line 224, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\context.py", line 327, in _Popen
    return Popen(process_obj)
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
    reduction.dump(process_obj, to_child)
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'get_transform.<locals>.<lambda>'
(TFill) PS E:\1-EngSci3\1-ECE324\Triple-Dots\TFill> Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\programs\anaconda3\envs\TFill\lib\multiprocessing\spawn.py", line 126, in _main
    self = reduction.pickle.load(from_parent)
EOFError: Ran out of input

[XinghuaHuang02]

you should change some paras.
.\options base_options.py, line 34
parser.add_argument('--nThreads', type=int, default=0, help='# threads for loading data')
then you can run!