TypeError: convolution() got multiple values for argument 'weights_regularizer'

[Shine]

I got error like this, what happened, please help me to fix.
Traceback (most recent call last):
File "D:/Workspace/PythonProjects/studyProjects/multisensory/src/sep_video.py", line 398, in
ret = run(arg.vid_file, t, arg.clip_dur, pr, gpus[0], mask = arg.mask, arg = arg, net = net)
File "D:/Workspace/PythonProjects/studyProjects/multisensory/src/sep_video.py", line 294, in run
net.init()
File "D:/Workspace/PythonProjects/studyProjects/multisensory/src/sep_video.py", line 42, in init
pr, reuse = False, train = False)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\sourcesep.py", line 953, in make_net
vid_net_full = shift_net.make_net(ims, sfs, pr, None, reuse, train)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\shift_net.py", line 419, in make_net
sf_net = conv2d(sf_net,num_outputs= 64, kernel_size= [65, 1], scope = 'sf/conv1_1', stride = [4, 1], padding='SAME', reuse = reuse) # by lg 8.20
File "C:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\contrib\framework\python\ops\arg_scope.py", line 183, in func_with_args
return func(*args, **current_args)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\contrib\layers\python\layers\layers.py", line 1154, in convolution2d
conv_dims=2)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\contrib\framework\python\ops\arg_scope.py", line 183, in func_with_args
return func(*args, **current_args)
TypeError: convolution() got multiple values for argument 'weights_regularizer'

[Andrew Owens]

Try installing TensorFlow 1.8, e.g. with "pip install tensorflow-gpu==1.8". This code broke in newer versions of TensorFlow.

[Shine]

Thank you for your respose. I just did as you said, and I fixed the problem. Nevertheless, another appears, like below
Traceback (most recent call last):
File "D:/Workspace/PythonProjects/studyProjects/multisensory/src/sep_video.py", line 450, in
ig.show(table)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\img.py", line 13, in show
return imtable.show(*args, **kwargs)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\imtable.py", line 72, in show_table
html_rows = html_from_rows(table, output_dir)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\imtable.py", line 413, in html_from_rows
html_rows.append("" + "".join(html_from_cell(x, output_dir) for x in row))
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\imtable.py", line 413, in
html_rows.append("" + "".join(html_from_cell(x, output_dir) for x in row))
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\imtable.py", line 308, in html_from_cell
return x.make_html(output_dir)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\imtable.py", line 587, in make_html
make_video(fname, self.ims, self.fps, sound = self.sound)
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\imtable.py", line 498, in make_video
[(i, x, in_dir, tmp_ext) for i, x in enumerate(ims)])
File "D:\Workspace\PythonProjects\studyProjects\multisensory\src\aolib\util.py", line 2725, in parmap
ret = pool.map_async(f, xs).get(10000000)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\pool.py", line 638, in get
self.wait(timeout)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\pool.py", line 635, in wait
self._event.wait(timeout)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\threading.py", line 551, in wait
signaled = self._cond.wait(timeout)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\threading.py", line 299, in wait
gotit = waiter.acquire(True, timeout)
OverflowError: timeout value is too large

[Andrew Owens]

This might be a Windows compatibility issue. Try decreasing the number in the line: "pool.map_async(f, xs).get(10000000)" in util.py -- say, to 100000.

[Shine]

Thank you for your response again. It's really the problem of compatibility.

[Andrew Owens]

I've now (hopefully) fixed both of these compatibility issues. Please let me know if you still have problems.