
Traceback (most recent call last):


 "/conda/lib/python2.7/site-packages/conda/exceptions.py", line 573, in conda_exception_handler

return_value = func(*args, **kwargs)


 "/conda/lib/python2.7/site-packages/conda/cli/main.py", line 119, in _main

args = p.parse_args(args)


 "/conda/lib/python2.7/site-packages/conda/cli/conda_argparse.py", line 173, in parse_args

return super(ArgumentParser, self).parse_args(*args, **kwargs)


 "/conda/lib/python2.7/argparse.py", line 1701, in parse_args

args, argv = self.parse_known_args(args, namespace)


 "/conda/lib/python2.7/argparse.py", line 1740, in parse_known_args

self.error(str(err))


 "/conda/lib/python2.7/site-packages/conda/cli/conda_argparse.py", line 146, in error

raise CommandNotFoundError(cmd, message)

TypeError: __init__() takes exactly 2 arguments (3 given)

Traceback (most recent call last):


 "train.py", line 431, in <module>

train(hyp)
# train normally


 "train.py", line 91, in train

model = Darknet(cfg).to(device)


 "/home/qzk/yolov3/models.py", line 232, in __init__

self.module_list, self.routs = create_modules(self.module_defs, img_size, cfg)


 "/home/qzk/yolov3/models.py", line 27, in create_modules

modules.add_module('Conv2d', nn.Conv2d(in_channels=output_filters[-1],


 "/home/learn/anaconda3/envs/yolov3/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 406, in __init__

super(Conv2d, self).__init__(


 "/home/learn/anaconda3/envs/yolov3/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 52, in __init__

if out_channels % groups != 0:
TypeError: not all arguments converted during string formatting
