
Traceback (most recent call last):


 "<string>", line 1, in <module>


 "C:/Users/Sam/AppData/Local/Temp/pip-install-m9w4eb1p/pycryptodome_c0edd280ecf247fba2867f24983fe952/setup.py", line 455, in <module>

set_compiler_options(package_root, ext_modules)


 "C:/Users/Sam/AppData/Local/Temp/pip-install-m9w4eb1p/pycryptodome_c0edd280ecf247fba2867f24983fe952/compiler_opt.py", line 341, in set_compiler_options

clang = compiler_is_clang()


 "C:/Users/Sam/AppData/Local/Temp/pip-install-m9w4eb1p/pycryptodome_c0edd280ecf247fba2867f24983fe952/compiler_opt.py", line 251, in compiler_is_clang

return test_compilation(source, msg="clang")


 "C:/Users/Sam/AppData/Local/Temp/pip-install-m9w4eb1p/pycryptodome_c0edd280ecf247fba2867f24983fe952/compiler_opt.py", line 68, in test_compilation

compiler = ccompiler.new_compiler()


 "C:/Users/Sam/Downloads/tartube-portable-64bit/tartube/mingw64/lib/python3.8/distutils/ccompiler.py", line 1034, in new_compiler

return klass(None, dry_run, force)


 "C:/Users/Sam/Downloads/tartube-portable-64bit/tartube/mingw64/lib/python3.8/distutils/cygwinccompiler.py", line 310, in __init__

CygwinCCompiler.__init__ (self, verbose, dry_run, force)


 "C:/Users/Sam/Downloads/tartube-portable-64bit/tartube/mingw64/lib/python3.8/distutils/cygwinccompiler.py", line 127, in __init__

if self.ld_version >= "2.10.90":

TypeError: '>=' not supported between instances of 'NoneType' and 'str'

Traceback (most recent call last):


 "hopenet_to_caffe.py", line 15, in <module>

pytorch_to_caffe.trans_net(net,input,name)


 "./pytorch_to_caffe.py", line 786, in trans_net

out = net.forward(input_var)


 "./stable_hopenetlite.py", line 127, in forward

x = self.stage2(x)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/container.py", line 117, in forward

input = module(input)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl

result = self.forward(*input, **kwargs)


 "./stable_hopenetlite.py", line 76, in forward

out = torch.cat((self.branch1(x), self.branch2(x)), dim=1)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/container.py", line 117, in forward

input = module(input)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/batchnorm.py", line 113, in forward

self.num_batches_tracked = self.num_batches_tracked + 1


 "./pytorch_to_caffe.py", line 532, in _add

bottom=[log.blobs(input),log.blobs(args[0])], top=top_blobs)


 "./Caffe/layer_param.py", line 33, in __init__

self.bottom.extend(bottom)
TypeError: None has type NoneType, but expected one of: bytes, unicode
