Comments (12)
Hi, happy new year! The codes haven't been tested on Windows. But the codes are mainly based on Pytorch0.4. So I guess if you can install python3 and pytorch0.4 or pytorch1.0 properly on windows10, the codes could work.
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Thanks for replying!Could I speak Chinese XD? 2个星期前,我在win10系统的预处理程序成功了,但是在train.py中出现 CUDA runtime error(63),OS call failed or operation not supported on this OS at C:\a\w\1\s\windows\pytorch\torch\csrc\generic\StorageSharing.cpp:232 然后我的CUDA 和CUDNN的版本也都一致,我之前下载的pytorch1.0也是这样 换成了pytorch0.4版本也不行, 非常的难过,请问ABnerhqc您 有处理的方法吗?
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本来我想尝试用下ubuntu系统,但是一些硬件问题 我装了双系统以后 ubuntu系统经常开机无法进入 加上我自己真的不太会用ubuntu o(╥﹏╥)o
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您好~请问您装完pytorch之后有进行简单的测试么?如果没有的话建议进行一些简单的测试,比如import torch然后新建一个矩阵并.cuda()之类。以确认pytorch和cuda等确实没有问题。因为您这个报错看起来像是cuda或者pytorch没装好。
预处理程序没有使用pytorch或是cuda,也没用到显卡,所以即便这俩没装好也是可以跑成功的。
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谢谢答复!您好,我有进行过import torch 以及 print(torch.cuda.is_available()) 以及print(torch.version) 结果都是成功的,我在pytorch官网上有搜索过这个error,当时我看到那里的负责人说这个是win10系统和CUDA的问题,与pytorch无关 他们也不懂为什么错误。
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酱紫~不过我们这边没有win10的服务器,所以。。。很抱歉没法做相关的测试。希望这里有其他老师和同学能帮到您。
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嗯好的 !我一开始在先决条件要求中没看到强调用哪个系统来搭建环境,以为用win10也可以,走了很多弯路:( 。再次感谢您在春节期间处理我的问题!
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您好,我在Windows10上预处理一直没有成功,能和您问一下我所遇到的问题嘛?期待您的答复:
问题如下:在输出路径中建好了相对应的文件夹但是里面的是空的,报错如下:
ERROR OCCUR: PID ##%d##, ERRORTYPE: %s
0 <class 'NotADirectoryError'>
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "E:\GaitSet\GaitSet-master\pretreatment.py", line 125, in cut_pickle
frame_list = os.listdir(seq_path)
NotADirectoryError: [WinError 267] 目录名称无效。: 'E:\GaitSet\CASIA-B-TEST\fyc\00_1\fyc-00_1-001.png'
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "pretreatment.py", line 193, in
raise e
File "pretreatment.py", line 185, in
res.get(timeout=0.1)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\pool.py", line 644, in get
raise self._value
NotADirectoryError: [Errno 20] 目录名称无效。: 'E:\GaitSet\CASIA-B-TEST\fyc\00_1\fyc-00_1-001.png'
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感谢您的答复,解决了我的问题。
我在Windows10进行的调试,预处理之后,train报错如下(可能您没有会遇到这个问题,如果您了解这个问题,希望能得到您的答复,非常感谢!!):
(tensorflow-gpu) E:\GaitSet\GaitSet-master>python train.py
Initialzing...
Initializing data source...
Loading training data...
Data initialization complete.
Initializing model...
Model initialization complete.
Training START
THCudaCheck FAIL file=c:\a\w\1\s\tmp_conda_3.6_104352\conda\conda-bld\pytorch_1550400396997\work\torch\csrc\generic\StorageSharing.cpp line=232 error=71 : operation not supported
Traceback (most recent call last):
File "train.py", line 21, in
m.fit()
File "E:\GaitSet\GaitSet-master\model\model.py", line 150, in fit
for seq, view, seq_type, label, batch_frame in train_loader:
File "D:\anaconda\envs\tensorflow-gpu\lib\site-packages\torch\utils\data\dataloader.py", line 819, in iter
return _DataLoaderIter(self)
File "D:\anaconda\envs\tensorflow-gpu\lib\site-packages\torch\utils\data\dataloader.py", line 560, in init
w.start()
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
File "D:\anaconda\envs\tensorflow-gpu\lib\site-packages\torch\multiprocessing\reductions.py", line 213, in reduce_tensor
(device, handle, storage_size_bytes, storage_offset_bytes) = storage.share_cuda()
RuntimeError: cuda runtime error (71) : operation not supported at c:\a\w\1\s\tmp_conda_3.6_104352\conda\conda-bld\pytorch_1550400396997\work\torch\csrc\generic\StorageSharing.cpp:232
(tensorflow-gpu) E:\GaitSet\GaitSet-master>Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\spawn.py", line 115, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
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嗯好的!我一开始在先决条件要求中没看到看到使用该系统来建设环境,以为用win10也可以,走了很多弯路:(。再次感谢您在春节期间处理我的问题!
你好,请问你用win10运行出来了吗,我目前用win10出现了很多问题
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您好,我在Windows10上预处理一直没有成功,能和您问一下我所遇到的问题嘛?期待您的答复:
问题如下:在输出路径中建好了相对应的文件夹但是里面的是空的,报错如下:
ERROR OCCUR: PID ##%d##, ERRORTYPE: %s
0 <class 'NotADirectoryError'>
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "E:\GaitSet\GaitSet-master\pretreatment.py", line 125, in cut_pickle
frame_list = os.listdir(seq_path)
NotADirectoryError: [WinError 267] 目录名称无效。: 'E:\GaitSet\CASIA-B-TEST\fyc\00_1\fyc-00_1-001.png'
"""The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "pretreatment.py", line 193, in
raise e
File "pretreatment.py", line 185, in
res.get(timeout=0.1)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\pool.py", line 644, in get
raise self._value
NotADirectoryError: [Errno 20] 目录名称无效。: 'E:\GaitSet\CASIA-B-TEST\fyc\00_1\fyc-00_1-001.png'
感谢您的答复,解决了我的问题。
我在Windows10进行的调试,预处理之后,train报错如下(可能您没有会遇到这个问题,如果您了解这个问题,希望能得到您的答复,非常感谢!!):
(tensorflow-gpu) E:\GaitSet\GaitSet-master>python train.py
Initialzing...
Initializing data source...
Loading training data...
Data initialization complete.
Initializing model...
Model initialization complete.
Training START
THCudaCheck FAIL file=c:\a\w\1\s\tmp_conda_3.6_104352\conda\conda-bld\pytorch_1550400396997\work\torch\csrc\generic\StorageSharing.cpp line=232 error=71 : operation not supported
Traceback (most recent call last):
File "train.py", line 21, in
m.fit()
File "E:\GaitSet\GaitSet-master\model\model.py", line 150, in fit
for seq, view, seq_type, label, batch_frame in train_loader:
File "D:\anaconda\envs\tensorflow-gpu\lib\site-packages\torch\utils\data\dataloader.py", line 819, in iter
return _DataLoaderIter(self)
File "D:\anaconda\envs\tensorflow-gpu\lib\site-packages\torch\utils\data\dataloader.py", line 560, in init
w.start()
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
File "D:\anaconda\envs\tensorflow-gpu\lib\site-packages\torch\multiprocessing\reductions.py", line 213, in reduce_tensor
(device, handle, storage_size_bytes, storage_offset_bytes) = storage.share_cuda()
RuntimeError: cuda runtime error (71) : operation not supported at c:\a\w\1\s\tmp_conda_3.6_104352\conda\conda-bld\pytorch_1550400396997\work\torch\csrc\generic\StorageSharing.cpp:232
(tensorflow-gpu) E:\GaitSet\GaitSet-master>Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\anaconda\envs\tensorflow-gpu\lib\multiprocessing\spawn.py", line 115, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
Hello, I also met a similar problem. How did you solve this problem? Thank you
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