{"action":"opened","issue":{"url":"https://api.github.com/repos/apache/incubator-mxnet/issues/11177","repository_url":"https://api.github.com/repos/apache/incubator-mxnet","labels_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/11177/labels{/name}","comments_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/11177/comments","events_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/11177/events","html_url":"https://github.com/apache/incubator-mxnet/issues/11177","id":329975751,"node_id":"MDU6SXNzdWUzMjk5NzU3NTE=","number":11177,"title":"mxnet.base.MXNetError","user":{"login":"RoacherM","id":33534878,"node_id":"MDQ6VXNlcjMzNTM0ODc4","avatar_url":"https://avatars0.githubusercontent.com/u/33534878?v=4","gravatar_id":"","url":"https://api.github.com/users/RoacherM","html_url":"https://github.com/RoacherM","followers_url":"https://api.github.com/users/RoacherM/followers","following_url":"https://api.github.com/users/RoacherM/following{/other_user}","gists_url":"https://api.github.com/users/RoacherM/gists{/gist_id}","starred_url":"https://api.github.com/users/RoacherM/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/RoacherM/subscriptions","organizations_url":"https://api.github.com/users/RoacherM/orgs","repos_url":"https://api.github.com/users/RoacherM/repos","events_url":"https://api.github.com/users/RoacherM/events{/privacy}","received_events_url":"https://api.github.com/users/RoacherM/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-06-06T18:09:36Z","updated_at":"2018-06-06T18:09:36Z","closed_at":null,"author_association":"NONE","body":"l want to put two networks together. Resnet and inception worked well,while i changed resnet to desnet,i didn't work and i got the error like below:\r\n\r\nTraceback (most recent call last):\r\n  File \"D:/py_codes/dog_cat/features.py\", line 47, in <module>\r\n    out = net(fear1,fear2).as_in_context((mx.gpu()))\r\n  File \"C:\\Python_3.6.2\\lib\\site-packages\\mxnet\\gluon\\block.py\", line 481, in __call__\r\n    out = self.forward(*args)\r\n  File \"C:\\Python_3.6.2\\lib\\site-packages\\mxnet\\gluon\\block.py\", line 811, in forward\r\n    return self._call_cached_op(x, *args)\r\n  File \"C:\\Python_3.6.2\\lib\\site-packages\\mxnet\\gluon\\block.py\", line 717, in _call_cached_op\r\n    out = self._cached_op(*cargs)\r\n  File \"C:\\Python_3.6.2\\lib\\site-packages\\mxnet\\_ctypes\\ndarray.py\", line 150, in __call__\r\n    ctypes.byref(out_stypes)))\r\n  File \"C:\\Python_3.6.2\\lib\\site-packages\\mxnet\\base.py\", line 210, in check_call\r\n    raise MXNetError(py_str(_LIB.MXGetLastError()))\r\nmxnet.base.MXNetError: Error in operator pool0_fwd: [02:02:07] C:\\Jenkins\\workspace\\mxnet\\mxnet\\src\\operator\\nn\\pooling.cc:99: Check failed: dshape.ndim() >= 3U (2 vs. 3) Pooling: Input data should be  3D in (batch, channel, x) Or 4D in (batch, channel, y, x)  Or 5D in (batch, channel, d, y, x)\r\n\r\nProcess finished with exit code 1\r\n"}}
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