[GitHub] altosaar opened a new issue #10875: How to debug hybridize() failures?

[GitBox <gi...@apache.org>]

altosaar opened a new issue #10875: How to debug hybridize() failures?
URL: https://github.com/apache/incubator-mxnet/issues/10875
 
 
   My model runs fine without hybridize, but I need the speed boost.
   
   When I call hybridize I get a cryptic failure message:
   
   ```Traceback (most recent call last):
     File "normal_def/train.py", line 225, in <module>
       train()
     File "normal_def/train.py", line 178, in train
       users, items, item_counts, set_sizes, user_meals)
     File "/usr/local/anaconda3/lib/python3.6/site-packages/mxnet/gluon/block.py", line 413, in __call__
       return self.forward(*args)
     File "/usr/local/anaconda3/lib/python3.6/site-packages/mxnet/gluon/block.py", line 621, in forward
       return self._call_cached_op(x, *args)
     File "/usr/local/anaconda3/lib/python3.6/site-packages/mxnet/gluon/block.py", line 528, in _call_cached_op
       out = self._cached_op(*cargs)
     File "/usr/local/anaconda3/lib/python3.6/site-packages/mxnet/_ctypes/ndarray.py", line 149, in __call__
       ctypes.byref(out_stypes)))
     File "/usr/local/anaconda3/lib/python3.6/site-packages/mxnet/base.py", line 149, in check_call
       raise MXNetError(py_str(_LIB.MXGetLastError()))
   mxnet.base.MXNetError: Error in operator normaldef0_fastpoissonlogprob0__mul0: [17:27:23] src/operator/nn/../tensor/../elemwise_op_common.h:123: Check failed: assign(&dattr, (*vec)[i]) Incompatible attr in node normaldef0_fastpoissonlogprob0__mul0 at 1-th input: expected [9963,128], got [9963,1]
   ```
   
   There are many multiplies and nodes of that shape. How can I figure out why hybridize is not working? i.e. what line of code `normaldef0_fastpoissonlogprob0__mul0` corresponds to?
   
   Thanks!

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