carpedm20 / pixel-rnn-tensorflow

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IOError: [Errno 101] Network is unreachable #6

Open LeonardKnuth opened 8 years ago

LeonardKnuth commented 8 years ago

Hi, @carpedm20

When I run the command:

$ python main.py --data=mnist --model=pixel_rnn

Its output is as follows:

I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally {'batch_size': 100, 'data': 'mnist', 'data_dir': 'data', 'display': False, 'grad_clip': 1, 'hidden_dims': 16, 'is_train': True, 'learning_rate': 0.001, 'log_level': 'INFO', 'max_epoch': 100000, 'model': 'pixel_rnn', 'out_hidden_dims': 32, 'out_recurrent_length': 2, 'random_seed': 123, 'recurrent_length': 7, 'sample_dir': 'samples', 'save_step': 1000, 'test_step': 100, 'use_dynamic_rnn': False, 'use_gpu': True, 'use_residual': False} [09-22 12:18:55] Skip creating directory: data/mnist [09-22 12:18:55] Skip creating directory: samples/mnist/checkpoints/data=mnist/batch_size=100/grad_clip=1/hidden_dims=16/learning_rate=0.001/model=pixel_rnn/out_hidden_dims=32/out_recurrent_length=2/recurrent_length=7/use_dynamic_rnn=False/use_gpu=True/use_residual=False/ Traceback (most recent call last): File "main.py", line 139, in tf.app.run() File "/home/clu/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run sys.exit(main(sys.argv)) File "main.py", line 71, in main mnist = input_data.read_data_sets(DATA_DIR, one_hot=True) File "/home/clu/.local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 189, in read_data_sets SOURCE_URL + TRAIN_IMAGES) File "/home/clu/.local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py", line 157, in maybe_download urllib.request.urlretrieve(source_url, temp_file_name) File "/usr/lib/python2.7/urllib.py", line 98, in urlretrieve return opener.retrieve(url, filename, reporthook, data) File "/usr/lib/python2.7/urllib.py", line 245, in retrieve fp = self.open(url, data) File "/usr/lib/python2.7/urllib.py", line 213, in open return getattr(self, name)(url) File "/usr/lib/python2.7/urllib.py", line 350, in open_http h.endheaders(data) File "/usr/lib/python2.7/httplib.py", line 1053, in endheaders self._send_output(message_body) File "/usr/lib/python2.7/httplib.py", line 897, in _send_output self.send(msg) File "/usr/lib/python2.7/httplib.py", line 859, in send self.connect() File "/usr/lib/python2.7/httplib.py", line 836, in connect self.timeout, self.source_address) File "/usr/lib/python2.7/socket.py", line 575, in create_connection raise err IOError: [Errno socket error] [Errno 101] Network is unreachable

Could you kindly give any suggestion about it? Thanks.

aahusarenko commented 6 years ago

I get the same IOError, but when training the mnist_saved_model. I have had proxy issues in the past, so I've been troubleshooting that, but so far have not been able to find a solution.

ramakrishnapallala commented 5 years ago

I am also facing the same issue, @aahusarenko were you able to find a solution?