ConnectionError

[zhengduoru]

when i run python train.py --usegpu --nepochs 10 --batchsize 1 --nworkers 1 I got the error below. I am in China. I wonder if there is the internet block. And what should I do?

Architecture( (cnn): BaseCNN( (model): ModifiedVGG( (model): Sequential( (0): Conv2d (3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace) (2): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace) (4): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1)) (5): Conv2d (64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (6): ReLU(inplace) (7): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (8): ReLU(inplace) (9): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1)) (10): Conv2d (128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (11): ReLU(inplace) (12): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (13): ReLU(inplace) (14): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (15): ReLU(inplace) ) ) ) (renet1): ReNet( (rnn_hor): GRU(256, 100, batch_first=True, bidirectional=True) (rnn_ver): GRU(200, 100, batch_first=True, bidirectional=True) ) (renet2): ReNet( (rnn_hor): GRU(200, 100, batch_first=True, bidirectional=True) (rnn_ver): GRU(200, 100, batch_first=True, bidirectional=True) ) (upsampling1): ConvTranspose2d (200, 100, kernel_size=(2, 2), stride=(2, 2)) (relu1): ReLU() (upsampling2): ConvTranspose2d (228, 100, kernel_size=(2, 2), stride=(2, 2)) (relu2): ReLU() (fg_seg_output): Conv2d (164, 2, kernel_size=(1, 1), stride=(1, 1)) (ins_seg_output): Conv2d (164, 16, kernel_size=(1, 1), stride=(1, 1)) (ins_cls_cnn): Sequential( (pool1): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1)) (conv1): Conv2d (200, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu1): ReLU() (conv2): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu2): ReLU() (pool2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1)) (conv3): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu3): ReLU() (conv4): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu4): ReLU() (pool3): AdaptiveAvgPool2d(output_size=(1, 1)) ) (ins_cls_out): Sequential( (linear): Linear(in_features=64, out_features=1) (sigmoid): Sigmoid() ) ) Testing: [METRIC] CE Cost : 0.902625203133 | MSE Cost : 0.118421502411 | Discriminative Cost : 7.28294658661 | Dice Cost : 0.835230827332 | Exception in user code:

Traceback (most recent call last): File "/home/duoduo/anaconda3/envs/ins-seg-pytorch/lib/python2.7/site-packages/visdom/init.py", line 261, in _send data=json.dumps(msg), File "/home/duoduo/anaconda3/envs/ins-seg-pytorch/lib/python2.7/site-packages/requests/api.py", line 112, in post return request('post', url, data=data, json=json, kwargs) File "/home/duoduo/anaconda3/envs/ins-seg-pytorch/lib/python2.7/site-packages/requests/api.py", line 58, in request return session.request(method=method, url=url, kwargs) File "/home/duoduo/anaconda3/envs/ins-seg-pytorch/lib/python2.7/site-packages/requests/sessions.py", line 508, in request resp = self.send(prep, send_kwargs) File "/home/duoduo/anaconda3/envs/ins-seg-pytorch/lib/python2.7/site-packages/requests/sessions.py", line 618, in send r = adapter.send(request, kwargs) File "/home/duoduo/anaconda3/envs/ins-seg-pytorch/lib/python2.7/site-packages/requests/adapters.py", line 508, in send raise ConnectionError(e, request=request) ConnectionError: HTTPConnectionPool(host='localhost', port=8097): Max retries exceeded with url: /events (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f90a734f4d0>: Failed to establish a new connection: [Errno 111] Connection refused',))

[Wizaron]

Did you start "visdom server" (python -m visdom.server) in a separate terminal before running "train.py"?

[zhengduoru]

哇塞成功了，虽然我没看懂这个visdom server～ Thank you so much!