RoacherM opened a new issue #11177: mxnet.base.MXNetError URL: https://github.com/apache/incubator-mxnet/issues/11177 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: Traceback (most recent call last): File "D:/py_codes/dog_cat/features.py", line 47, in <module> out = net(fear1,fear2).as_in_context((mx.gpu())) File "C:\Python_3.6.2\lib\site-packages\mxnet\gluon\block.py", line 481, in __call__ out = self.forward(*args) File "C:\Python_3.6.2\lib\site-packages\mxnet\gluon\block.py", line 811, in forward return self._call_cached_op(x, *args) File "C:\Python_3.6.2\lib\site-packages\mxnet\gluon\block.py", line 717, in _call_cached_op out = self._cached_op(*cargs) File "C:\Python_3.6.2\lib\site-packages\mxnet\_ctypes\ndarray.py", line 150, in __call__ ctypes.byref(out_stypes))) File "C:\Python_3.6.2\lib\site-packages\mxnet\base.py", line 210, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.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) Process finished with exit code 1
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