romeolandry opened a new issue #16967: Cannot import [yolo3]() model from 
onnx/model zoo
URL: https://github.com/apache/incubator-mxnet/issues/16967
 
 
   ## Description
   I downloaded 
[yolo3](https://github.com/onnx/models/blob/master/vision/object_detection_segmentation/yolov3)
 model from onnx/model zoo. I tried to import that to mxnet via 
mxnet.contrib.onnx but get the following error message.
   
   ### Error Message
   --------------------------------------------------
   KeyError         Traceback (most recent call last)
   <ipython-input-13-7a0ead8a05d3> in <module>
         1 import mxnet.contrib.onnx as onnx_mxnet
   ----> 2 sym, arg_params, aux_params = onnx_mxnet.import_model('ssd.onnx')
   
   
~/Donnees/test-framework/mxnet_test/env_mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/import_model.py
 in import_model(model_file)
        57     # loads model file and returns ONNX protobuf object
        58     model_proto = onnx.load_model(model_file)
   ---> 59     sym, arg_params, aux_params = graph.from_onnx(model_proto.graph)
        60     return sym, arg_params, aux_params
        61 
   
   
~/Donnees/test-framework/mxnet_test/env_mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/import_onnx.py
 in from_onnx(self, graph)
       114             onnx_attr = self._parse_attr(node.attribute)
       115             inputs = [self._nodes[i] for i in node.input]
   --> 116             mxnet_sym = self._convert_operator(node_name, op_name, 
onnx_attr, inputs)
       117 
       118             for k, i in zip(list(node.output), 
range(len(mxnet_sym.list_outputs()))):
   
   
~/Donnees/test-framework/mxnet_test/env_mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/import_onnx.py
 in _convert_operator(self, node_name, op_name, attrs, inputs)
        60         """
        61         if op_name in convert_map:
   ---> 62             op_name, new_attrs, inputs = convert_map[op_name](attrs, 
inputs, self)
        63         else:
        64             raise NotImplementedError("Operator {} not 
implemented.".format(op_name))
   
   
~/Donnees/test-framework/mxnet_test/env_mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/_op_translations.py
 in reshape(attrs, inputs, proto_obj)
       460     if len(inputs) == 1:
       461         return 'reshape', attrs, inputs[0]
   --> 462     reshape_shape = list(proto_obj._params[inputs[1].name].asnumpy())
       463     reshape_shape = [int(i) for i in reshape_shape]
       464     new_attrs = {'shape': reshape_shape}
   
   KeyError: 'Concat_347'
   
   ## To Reproduce
   import mxnet.contrib.onnx as onnx_mxnet
   sym, arg_params, aux_params = onnx_mxnet.import_model('ssd.onnx')
   
   ## Environment
   
   We recommend using our script for collecting the diagnositc information. Run 
the following command and paste the outputs below:
   ```
   curl --retry 10 -s 
https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | 
python
   
   # paste outputs here
   ----------Python Info----------
   Version      : 3.7.3
   Compiler     : GCC 8.3.0
   Build        : ('default', 'Oct  7 2019 12:56:13')
   Arch         : ('64bit', 'ELF')
   ------------Pip Info-----------
   Version      : 18.1
   Directory    : /usr/lib/python3/dist-packages/pip
   ----------MXNet Info-----------
   No MXNet installed.
   ----------System Info----------
   Platform     : Linux-5.0.0-36-generic-x86_64-with-Ubuntu-19.04-disco
   system       : Linux
   node         : kamgo-ThinkPad-T430
   release      : 5.0.0-36-generic
   version      : #39-Ubuntu SMP Tue Nov 12 09:46:06 UTC 2019
   ----------Hardware Info----------
   machine      : x86_64
   processor    : x86_64
   Architektur:                   x86_64
   CPU Operationsmodus:           32-bit, 64-bit
   Byte-Reihenfolge:              Little Endian
   Address sizes:                 36 bits physical, 48 bits virtual
   CPU(s):                        4
   Liste der Online-CPU(s):       0-3
   Thread(s) pro Kern:            2
   Kern(e) pro Socket:            2
   Sockel:                        1
   NUMA-Knoten:                   1
   Anbieterkennung:               GenuineIntel
   Prozessorfamilie:              6
   Modell:                        58
   Modellname:                    Intel(R) Core(TM) i5-3320M CPU @ 2.60GHz
   Stepping:                      9
   CPU MHz:                       1813.624
   Maximale Taktfrequenz der CPU: 3300,0000
   Minimale Taktfrequenz der CPU: 1200,0000
   BogoMIPS:                      5188.19
   Virtualisierung:               VT-x
   L1d Cache:                     32K
   L1i Cache:                     32K
   L2 Cache:                      256K
   L3 Cache:                      3072K
   NUMA-Knoten0 CPU(s):           0-3
   
   ```
   

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