[GitHub] [incubator-mxnet] alexst07 commented on issue #15788: mxnet convert to onnx: No conversion function registered for op type null yet.

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alexst07 commented on issue #15788: mxnet convert to onnx: No conversion function registered for op type null yet.
URL: https://github.com/apache/incubator-mxnet/issues/15788#issuecomment-532233595
 
 
   @vandanavk even your example gave me an error:
   
   ```
    File "conversion.py", line 14, in <module>
       converted_model_path = onnx_mxnet.export_model('resnet18_v2-symbol.json', 'resnet18_v2-0000.params', [(1,3,224,224)], np.float32, 'test_resnet18.onnx')
     File "/home/alex/anaconda3/lib/python3.7/site-packages/mxnet/contrib/onnx/mx2onnx/export_model.py", line 83, in export_model
       verbose=verbose)
     File "/home/alex/anaconda3/lib/python3.7/site-packages/mxnet/contrib/onnx/mx2onnx/export_onnx.py", line 312, in create_onnx_graph_proto
       checker.check_graph(graph)
     File "/home/alex/anaconda3/lib/python3.7/site-packages/onnx/checker.py", line 52, in checker
       proto.SerializeToString(), ctx)
   onnx.onnx_cpp2py_export.checker.ValidationError: Unrecognized attribute: spatial for operator BatchNormalization
   
   ==> Context: Bad node spec: input: "data" input: "resnetv20_batchnorm0_gamma" input: "resnetv20_batchnorm0_beta" input: "resnetv20_batchnorm0_running_mean" input: "resnetv20_batchnorm0_running_var" output: "resnetv20_batchnorm0_fwd" name: "resnetv20_batchnorm0_fwd" op_type: "BatchNormalization" attribute { name: "epsilon" f: 1e-05 type: FLOAT } attribute { name: "momentum" f: 0.9 type: FLOAT } attribute { name: "spatial" i: 0 type: INT }
   ```
   
   And yes, I had the same error of @lookup1980 before.

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