using Consep dataset but generated error when run“python run_train.py --view=train ”

[Junjunsss]

@vqdang @simongraham Hi！I generated this error as below，I don't know how to fix it.Hope you could help!

PS D:\hovernet\hover_net-master\hover_net-master> python run_train.py --view=train
Using manual seed: 10
Traceback (most recent call last):
File "run_train.py", line 302, in
Using manual seed: 10
Dataset train: 1323
Traceback (most recent call last):
File "run_train.py", line 302, in
trainer.view_dataset(args["--view"])
File "run_train.py", line 90, in view_dataset
viz = prep_func(batch_data, is_batch=True, **prep_kwargs)
File "D:\hovernet\hover_net-master\hover_net-master\models\hovernet\targets.py", line 150, in prep_sample
viz_list.append(prep_one_sample(sub_data))
File "D:\hovernet\hover_net-master\hover_net-master\models\hovernet\targets.py", line 134, in prep_one_sample
shape = np.maximum(*shape_array)
ValueError: invalid number of arguments

[Junjunsss]

also I met this following problem when run python run_train.py --gpu='0'

Detect #GPUS: 1
Using manual seed: 10
Dataset train: 1323
Dataset valid: 686
Model net pretrained path: D:/hovernet/hover_net-master/hover_net-master/pretrained/ImageNet-ResNet50-Preact_pytorch.tar
Missing Variables:
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its.5.conv1/bn.running_var', 'decoder.hv.u3.dense.units.5.conv2.weight', 'decoder.hv.u3.dense.units.6.preact_bna/bn.weight', 'decoder.hv.u3.dense.units.6.preact_bna/bn.bias', 'decoder.
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decoder.hv.u2.dense.units.2.conv1/bn.weight', 'decoder.hv.u2.dense.units.2.conv1/bn.bias', 'decoder.hv.u2.dense.units.2.conv1/bn.running_mean', 'decoder.hv.u2.dense.units.2.conv1/bn.ru
nning_var', 'decoder.hv.u2.dense.units.2.conv2.weight', 'decoder.hv.u2.dense.units.3.preact_bna/bn.weight', 'decoder.hv.u2.dense.units.3.preact_bna/bn.bias', 'decoder.hv.u2.dense.units
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oder.hv.u2.dense.units.3.conv1/bn.bias', 'decoder.hv.u2.dense.units.3.conv1/bn.running_mean', 'decoder.hv.u2.dense.units.3.conv1/bn.running_var', 'decoder.hv.u2.dense.units.3.conv2.wei
ght', 'decoder.hv.u2.dense.blk_bna.bn.weight', 'decoder.hv.u2.dense.blk_bna.bn.bias', 'decoder.hv.u2.dense.blk_bna.bn.running_mean', 'decoder.hv.u2.dense.blk_bna.bn.running_var', 'deco
der.hv.u2.convf.weight', 'decoder.hv.u1.conva.weight', 'decoder.hv.u0.bn.weight', 'decoder.hv.u0.bn.bias', 'decoder.hv.u0.bn.running_mean', 'decoder.hv.u0.bn.running_var', 'decoder.hv.u0.conv.weight', 'decoder.hv.u0.conv.bias']
Detected Unknown Variables:
[]
----------------EPOCH 1
Processing: | | 0/82[00:00<?,?it/s]Batch = nan|EMA = nanTraceback (most recent call last):
File "", line 1, in
Traceback (most recent call last):
File "run_train.py", line 305, in
trainer.run()
File "run_train.py", line 289, in run
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\spawn.py", line 114, in _main
phase_info, engine_opt, save_path, prev_log_dir=prev_save_path
File "run_train.py", line 265, in run_once
prepare(preparation_data)
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\spawn.py", line 225, in prepare
main_runner.run(opt["nr_epochs"])
File "D:\hovernet\hover_net-master\hover_net-master\run_utils\engine.py", line 172, in run
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
for data_batch in self.dataloader:
File "D:\anaconda33\envs\hovernet\lib\site-packages\torch\utils\data\dataloader.py", line 291, in iter
run_name="mp_main")
File "D:\anaconda33\envs\hovernet\lib\runpy.py", line 263, in run_path
return _MultiProcessingDataLoaderIter(self)
File "D:\anaconda33\envs\hovernet\lib\site-packages\torch\utils\data\dataloader.py", line 737, in init
pkg_name=pkg_name, script_name=fname)
File "D:\anaconda33\envs\hovernet\lib\runpy.py", line 96, in _run_module_code
w.start()
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\process.py", line 105, in start
mod_name, mod_spec, pkg_name, script_name)
File "D:\anaconda33\envs\hovernet\lib\runpy.py", line 85, in _run_code
self._popen = self._Popen(self)
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\context.py", line 223, in _Popen
exec(code, run_globals)
File "D:\hovernet\hover_net-master\hover_net-master\run_train.py", line 30, in
return _default_context.get_context().Process._Popen(process_obj)
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\context.py", line 322, in Popen
import torch
File "D:\anaconda33\envs\hovernet\lib\site-packages\torch_init.py", line 116, in
return Popen(process_obj)
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
raise err
OSError: [WinError 1455] 页面文件太小，无法完成操作。 Error loading "D:\anaconda33\envs\hovernet\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
reduction.dump(process_obj, to_child)
File "D:\anaconda33\envs\hovernet\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
Processing: | | 0/82[00:10<?,?it/s]Batch = nan|EMA = nan