PytorchSSD
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lzx1413
[Errno 111] Connection refused
Hi, I am getting this error RuntimeError: The shape of the mask [8, 32756] at index 0 does not match the shape of the indexed tensor [262048, 1] at index 0 Exception ignored in: <bound method _DataLoaderIter.del of <torch.utils.data.dataloader._DataLoaderIter object at 0x7f801b6ccf28>>'
I am using pytorch 0.4.0. and python 3.5 anaconda 4.5.9. Any help? Thanks
Hi! When I train the ssd vgg, I met this error.
Traceback (most recent call last):
File "train_test.py", line 424, in
Thanks You!
On Tue, 25 Sep 2018 at 4:01 pm, lzx1413 [email protected] wrote:
Please refer to the code of 0.4 branch, I am working on the pytorch 4.1 .
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@lxtGH this is because the loss is nan, you can ignore it or reduce the lr_rate to avoid it.
我用的pytorch是0.3.1,cuda8.0,ubuntu16 Traceback (most recent call last): File "/home/cv2018/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 333, in del self._shutdown_workers() File "/home/cv2018/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 319, in _shutdown_workers self.data_queue.get() File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/queues.py", line 337, in get return _ForkingPickler.loads(res) File "/home/cv2018/anaconda3/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 70, in rebuild_storage_fd fd = df.detach() File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 57, in detach with _resource_sharer.get_connection(self._id) as conn: File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 87, in get_connection c = Client(address, authkey=process.current_process().authkey) File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/connection.py", line 487, in Client c = SocketClient(address) File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/connection.py", line 614, in SocketClient s.connect(address) ConnectionRefusedError: [Errno 111] Connection refused
Please refer to the code of 0.4 branch, I am working on the pytorch 4.1 .
@lzx1413 ,Hello sir, Did you run the demo correctly on the pytorch 4.1? I try to run the demo on the pytorch 0.4.0, 0.4.1 and 0.3.1 , all of which received the error that [Errno 111] Connection refused . Can you help me with that? Thanks a lot
您好，我也遇到了同样的问题。 是什么原因造成的呢？Ubuntu还是pytorch 版本？
pytorch version
麻烦您说一下哪个版本匹配会好一点。 我现在用的是pytorch0.4 python3.6
您好，我也遇到了同样的问题。 是什么原因造成的呢？Ubuntu还是pytorch 版本？
pytorch version
麻烦您说一下哪个版本匹配会好一点。 我现在用的是pytorch0.4 python3.6
我记得好像0.3.1可以直接运行，0.4+的版本的话改了之后同样可以运行，修改的地方应该是在multiBoxLoss部分
您好，我也遇到了同样的问题。 是什么原因造成的呢？Ubuntu还是pytorch 版本？
pytorch version
麻烦您说一下哪个版本匹配会好一点。 我现在用的是pytorch0.4 python3.6
我记得好像0.3.1可以直接运行，0.4+的版本的话改了之后同样可以运行，修改的地方应该是在multiBoxLoss部分
嗯嗯谢谢，我在仔细阅读一下原码
Please refer to the code of 0.4 branch, I am working on the pytorch 4.1 .
@lzx1413 ,Hello sir, Did you run the demo correctly on the pytorch 4.1? I try to run the demo on the pytorch 0.4.0, 0.4.1 and 0.3.1 , all of which received the error that [Errno 111] Connection refused . Can you help me with that? Thanks a lot
不好意思打扰了，这个链接错误我还是没有解决。请问您是怎么解决的
RuntimeError: The shape of the mask [8, 32756] at index 0 does not match the shape of the indexed tensor [262048, 1] at index 0 This problem can be solved as followes: 1、 loss_c[pos] = 0 to： loss_c = loss_c.view(num, -1) loss_c[pos] = 0
2、 N = num_pos.data.sum() to: N = num_pos.data.sum().double() loss_l = loss_l.double() loss_c = loss_c.double()
Please refer to the code of 0.4 branch, I am working on the pytorch 4.1 .
@lzx1413 ,Hello sir, Did you run the demo correctly on the pytorch 4.1? I try to run the demo on the pytorch 0.4.0, 0.4.1 and 0.3.1 , all of which received the error that [Errno 111] Connection refused . Can you help me with that? Thanks a lot
Please refer to the code of 0.4 branch, I am working on the pytorch 4.1 .
@lzx1413 ,Hello sir, Did you run the demo correctly on the pytorch 4.1? I try to run the demo on the pytorch 0.4.0, 0.4.1 and 0.3.1 , all of which received the error that [Errno 111] Connection refused . Can you help me with that? Thanks a lot
Hello, I have the same problem, if I use torch0.4.0 I will receive a connection reject [111] error. I am using torch0.3.1 and can run it. But when training SSD, run ssd error: value cannot be converted to type float without overflow: inf。 look forward to your reply
Traceback (most recent call last):
File "train_test.py", line 455, in
Traceback (most recent call last): File "train_test.py", line 455, in train() File "train_test.py", line 321, in train loss_l, loss_c = criterion(out, priors, targets) File "/home/yangyuze/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in call result = self.forward(*input, **kwargs) File "/home/yangyuze/PytorchSSD/layers/modules/multibox_loss.py", line 96, in forward loss_c[pos] = 0 # filter out pos boxes for now RuntimeError: The shape of the mask [8, 32756] at index 0 does not match the shape of the indexed tensor [262048, 1] at index 0 @lzx1413 作者你好我碰到这个问题，请问这个是什么原因造成的？能给出一点解决意见吗
can be solved by comment of miaoshuyu or update your pytorch to 4.1 or higher
It seems that change pytorch version to 0.4.1 is ok, and got problems on pytorch 0.3.1 and pytorch 1.0. On 1.1, the error is "RuntimeError: merge_sort: failed to synchronize: an illegal memory access was encountered"
pytorch1.0亲测有效
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loss_c[pos] = 0 to: loss_c[pos.view(-1,1)] = 0
-
N = num_pos.data.sum() to: N = max(num_pos.data.sum().float(),1)
Hi, I am getting this error RuntimeError: The shape of the mask [8, 32756] at index 0 does not match the shape of the indexed tensor [262048, 1] at index 0 Exception ignored in: <bound method _DataLoaderIter.del of <torch.utils.data.dataloader._DataLoaderIter object at 0x7f801b6ccf28>>'
I am using pytorch 0.4.0. and python 3.5 anaconda 4.5.9. Any help? Thanks pytorch 0.4.0 test is vaild！ RuntimeError: The shape of the mask [8, 32756] at index 0 does not match the shape of the indexed tensor [262048, 1] at index 0 This problem can be solved as followes:
Open file: ~/PytorchSSD-master/layers/modules/multibox_loss.py 1、 loss_c[pos] = 0 replace to： loss_c = loss_c.view(num, -1) loss_c[pos] = 0
2、 N = num_pos.data.sum() replace to： N = num_pos.data.sum().double() loss_l = loss_l.double() loss_c = loss_c.double()
我用的pytorch是0.3.1,cuda8.0,ubuntu16 Traceback (most recent call last): File "/home/cv2018/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 333, in del self._shutdown_workers() File "/home/cv2018/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 319, in _shutdown_workers self.data_queue.get() File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/queues.py", line 337, in get return _ForkingPickler.loads(res) File "/home/cv2018/anaconda3/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 70, in rebuild_storage_fd fd = df.detach() File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 57, in detach with _resource_sharer.get_connection(self._id) as conn: File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 87, in get_connection c = Client(address, authkey=process.current_process().authkey) File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/connection.py", line 487, in Client c = SocketClient(address) File "/home/cv2018/anaconda3/lib/python3.6/multiprocessing/connection.py", line 614, in SocketClient s.connect(address) ConnectionRefusedError: [Errno 111] Connection refused
请问您的问题解决了吗
