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

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: ['conv_bot.weight', 'decoder.tp.u3.conva.weight', 'decoder.tp.u3.dense.units.0.preact_bna/bn.weight', 'decoder.tp.u3.dense.units.0.preact_bna/bn.bias', 'decoder.tp.u3.dense.units.0.pr eact_bna/bn.running_mean', 'decoder.tp.u3.dense.units.0.preact_bna/bn.running_var', 'decoder.tp.u3.dense.units.0.conv1.weight', 'decoder.tp.u3.dense.units.0.conv1/bn.weight', 'decoder. tp.u3.dense.units.0.conv1/bn.bias', 'decoder.tp.u3.dense.units.0.conv1/bn.running_mean', 'decoder.tp.u3.dense.units.0.conv1/bn.running_var', 'decoder.tp.u3.dense.units.0.conv2.weight', 'decoder.tp.u3.dense.units.1.preact_bna/bn.weight', 'decoder.tp.u3.dense.units.1.preact_bna/bn.bias', 'decoder.tp.u3.dense.units.1.preact_bna/bn.running_mean', 'decoder.tp.u3.dense.un its.1.preact_bna/bn.running_var', 'decoder.tp.u3.dense.units.1.conv1.weight', 'decoder.tp.u3.dense.units.1.conv1/bn.weight', 'decoder.tp.u3.dense.units.1.conv1/bn.bias', 'decoder.tp.u3 .dense.units.1.conv1/bn.running_mean', 'decoder.tp.u3.dense.units.1.conv1/bn.running_var', 'decoder.tp.u3.dense.units.1.conv2.weight', 'decoder.tp.u3.dense.units.2.preact_bna/bn.weight ', 'decoder.tp.u3.dense.units.2.preact_bna/bn.bias', 'decoder.tp.u3.dense.units.2.preact_bna/bn.running_mean', 'decoder.tp.u3.dense.units.2.preact_bna/bn.running_var', 'decoder.tp.u3.d ense.units.2.conv1.weight', 'decoder.tp.u3.dense.units.2.conv1/bn.weight', 'decoder.tp.u3.dense.units.2.conv1/bn.bias', 'decoder.tp.u3.dense.units.2.conv1/bn.running_mean', 'decoder.tp .u3.dense.units.2.conv1/bn.running_var', 'decoder.tp.u3.dense.units.2.conv2.weight', 'decoder.tp.u3.dense.units.3.preact_bna/bn.weight', 'decoder.tp.u3.dense.units.3.preact_bna/bn.bias ', 'decoder.tp.u3.dense.units.3.preact_bna/bn.running_mean', 'decoder.tp.u3.dense.units.3.preact_bna/bn.running_var', 'decoder.tp.u3.dense.units.3.conv1.weight', 'decoder.tp.u3.dense.u nits.3.conv1/bn.weight', 'decoder.tp.u3.dense.units.3.conv1/bn.bias', 'decoder.tp.u3.dense.units.3.conv1/bn.running_mean', 'decoder.tp.u3.dense.units.3.conv1/bn.running_var', 'decoder. tp.u3.dense.units.3.conv2.weight', 'decoder.tp.u3.dense.units.4.preact_bna/bn.weight', 'decoder.tp.u3.dense.units.4.preact_bna/bn.bias', 'decoder.tp.u3.dense.units.4.preact_bna/bn.runn ing_mean', 'decoder.tp.u3.dense.units.4.preact_bna/bn.running_var', 'decoder.tp.u3.dense.units.4.conv1.weight', 'decoder.tp.u3.dense.units.4.conv1/bn.weight', 'decoder.tp.u3.dense.unit s.4.conv1/bn.bias', 'decoder.tp.u3.dense.units.4.conv1/bn.running_mean', 'decoder.tp.u3.dense.units.4.conv1/bn.running_var', 'decoder.tp.u3.dense.units.4.conv2.weight', 'decoder.tp.u3. dense.units.5.preact_bna/bn.weight', 'decoder.tp.u3.dense.units.5.preact_bna/bn.bias', 'decoder.tp.u3.dense.units.5.preact_bna/bn.running_mean', 'decoder.tp.u3.dense.units.5.preact_bna /bn.running_var', 'decoder.tp.u3.dense.units.5.conv1.weight', 'decoder.tp.u3.dense.units.5.conv1/bn.weight', 'decoder.tp.u3.dense.units.5.conv1/bn.bias', 'decoder.tp.u3.dense.units.5.c onv1/bn.running_mean', 'decoder.tp.u3.dense.units.5.conv1/bn.running_var', 'decoder.tp.u3.dense.units.5.conv2.weight', 'decoder.tp.u3.dense.units.6.preact_bna/bn.weight', 'decoder.tp.u 3.dense.units.6.preact_bna/bn.bias', 'decoder.tp.u3.dense.units.6.preact_bna/bn.running_mean', 'decoder.tp.u3.dense.units.6.preact_bna/bn.running_var', 'decoder.tp.u3.dense.units.6.con v1.weight', 'decoder.tp.u3.dense.units.6.conv1/bn.weight', 'decoder.tp.u3.dense.units.6.conv1/bn.bias', 'decoder.tp.u3.dense.units.6.conv1/bn.running_mean', 'decoder.tp.u3.dense.units. 6.conv1/bn.running_var', 'decoder.tp.u3.dense.units.6.conv2.weight', 'decoder.tp.u3.dense.units.7.preact_bna/bn.weight', 'decoder.tp.u3.dense.units.7.preact_bna/bn.bias', 'decoder.tp.u 3.dense.units.7.preact_bna/bn.running_mean', 'decoder.tp.u3.dense.units.7.preact_bna/bn.running_var', 'decoder.tp.u3.dense.units.7.conv1.weight', 'decoder.tp.u3.dense.units.7.conv1/bn. weight', 'decoder.tp.u3.dense.units.7.conv1/bn.bias', 'decoder.tp.u3.dense.units.7.conv1/bn.running_mean', 'decoder.tp.u3.dense.units.7.conv1/bn.running_var', 'decoder.tp.u3.dense.unit s.7.conv2.weight', 'decoder.tp.u3.dense.blk_bna.bn.weight', 'decoder.tp.u3.dense.blk_bna.bn.bias', 'decoder.tp.u3.dense.blk_bna.bn.running_mean', 'decoder.tp.u3.dense.blk_bna.bn.runnin g_var', 'decoder.tp.u3.convf.weight', 'decoder.tp.u2.conva.weight', 'decoder.tp.u2.dense.units.0.preact_bna/bn.weight', 'decoder.tp.u2.dense.units.0.preact_bna/bn.bias', 'decoder.tp.u2 .dense.units.0.preact_bna/bn.running_mean', 'decoder.tp.u2.dense.units.0.preact_bna/bn.running_var', 'decoder.tp.u2.dense.units.0.conv1.weight', 'decoder.tp.u2.dense.units.0.conv1/bn.w eight', 'decoder.tp.u2.dense.units.0.conv1/bn.bias', 'decoder.tp.u2.dense.units.0.conv1/bn.running_mean', 'decoder.tp.u2.dense.units.0.conv1/bn.running_var', 'decoder.tp.u2.dense.units .0.conv2.weight', 'decoder.tp.u2.dense.units.1.preact_bna/bn.weight', 'decoder.tp.u2.dense.units.1.preact_bna/bn.bias', 'decoder.tp.u2.dense.units.1.preact_bna/bn.running_mean', 'decod er.tp.u2.dense.units.1.preact_bna/bn.running_var', 'decoder.tp.u2.dense.units.1.conv1.weight', 'decoder.tp.u2.dense.units.1.conv1/bn.weight', 'decoder.tp.u2.dense.units.1.conv1/bn.bias ', 'decoder.tp.u2.dense.units.1.conv1/bn.running_mean', 'decoder.tp.u2.dense.units.1.conv1/bn.running_var', 'decoder.tp.u2.dense.units.1.conv2.weight', 'decoder.tp.u2.dense.units.2.pre act_bna/bn.weight', 'decoder.tp.u2.dense.units.2.preact_bna/bn.bias', 'decoder.tp.u2.dense.units.2.preact_bna/bn.running_mean', 'decoder.tp.u2.dense.units.2.preact_bna/bn.running_var', 'decoder.tp.u2.dense.units.2.conv1.weight', 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'decoder.tp.u0.bn.weight', 'decoder.tp.u0.bn.bias', 'decoder.tp.u0.bn.running_mean' , 'decoder.tp.u0.bn.running_var', 'decoder.tp.u0.conv.weight', 'decoder.tp.u0.conv.bias', 'decoder.np.u3.conva.weight', 'decoder.np.u3.dense.units.0.preact_bna/bn.weight', 'decoder.np. u3.dense.units.0.preact_bna/bn.bias', 'decoder.np.u3.dense.units.0.preact_bna/bn.running_mean', 'decoder.np.u3.dense.units.0.preact_bna/bn.running_var', 'decoder.np.u3.dense.units.0.co nv1.weight', 'decoder.np.u3.dense.units.0.conv1/bn.weight', 'decoder.np.u3.dense.units.0.conv1/bn.bias', 'decoder.np.u3.dense.units.0.conv1/bn.running_mean', 'decoder.np.u3.dense.units .0.conv1/bn.running_var', 'decoder.np.u3.dense.units.0.conv2.weight', 'decoder.np.u3.dense.units.1.preact_bna/bn.weight', 'decoder.np.u3.dense.units.1.preact_bna/bn.bias', 'decoder.np. u3.dense.units.1.preact_bna/bn.running_mean', 'decoder.np.u3.dense.units.1.preact_bna/bn.running_var', 'decoder.np.u3.dense.units.1.conv1.weight', 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'decoder.hv.u3.dense.units.7.conv1/bn.weight', 'decoder.hv.u3.dense.units.7.conv1/bn .bias', 'decoder.hv.u3.dense.units.7.conv1/bn.running_mean', 'decoder.hv.u3.dense.units.7.conv1/bn.running_var', 'decoder.hv.u3.dense.units.7.conv2.weight', 'decoder.hv.u3.dense.blk_bn a.bn.weight', 'decoder.hv.u3.dense.blk_bna.bn.bias', 'decoder.hv.u3.dense.blk_bna.bn.running_mean', 'decoder.hv.u3.dense.blk_bna.bn.running_var', 'decoder.hv.u3.convf.weight', 'decoder .hv.u2.conva.weight', 'decoder.hv.u2.dense.units.0.preact_bna/bn.weight', 'decoder.hv.u2.dense.units.0.preact_bna/bn.bias', 'decoder.hv.u2.dense.units.0.preact_bna/bn.running_mean', 'd ecoder.hv.u2.dense.units.0.preact_bna/bn.running_var', 'decoder.hv.u2.dense.units.0.conv1.weight', 'decoder.hv.u2.dense.units.0.conv1/bn.weight', 'decoder.hv.u2.dense.units.0.conv1/bn. bias', 'decoder.hv.u2.dense.units.0.conv1/bn.running_mean', 'decoder.hv.u2.dense.units.0.conv1/bn.running_var', 'decoder.hv.u2.dense.units.0.conv2.weight', 'decoder.hv.u2.dense.units.1 .preact_bna/bn.weight', 'decoder.hv.u2.dense.units.1.preact_bna/bn.bias', 'decoder.hv.u2.dense.units.1.preact_bna/bn.running_mean', 'decoder.hv.u2.dense.units.1.preact_bna/bn.running_v ar', 'decoder.hv.u2.dense.units.1.conv1.weight', 'decoder.hv.u2.dense.units.1.conv1/bn.weight', 'decoder.hv.u2.dense.units.1.conv1/bn.bias', 'decoder.hv.u2.dense.units.1.conv1/bn.runni ng_mean', 'decoder.hv.u2.dense.units.1.conv1/bn.running_var', 'decoder.hv.u2.dense.units.1.conv2.weight', 'decoder.hv.u2.dense.units.2.preact_bna/bn.weight', 'decoder.hv.u2.dense.units .2.preact_bna/bn.bias', 'decoder.hv.u2.dense.units.2.preact_bna/bn.running_mean', 'decoder.hv.u2.dense.units.2.preact_bna/bn.running_var', 'decoder.hv.u2.dense.units.2.conv1.weight', ' 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 .3.preact_bna/bn.running_mean', 'decoder.hv.u2.dense.units.3.preact_bna/bn.running_var', 'decoder.hv.u2.dense.units.3.conv1.weight', 'decoder.hv.u2.dense.units.3.conv1/bn.weight', 'dec 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

vqdang / hover_net

using Consep dataset but generated error when run“python run_train.py --view=train ” #279