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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/04/02 03:07:35 UTC

[GitHub] [incubator-mxnet] dongjunjundong opened a new issue #14589: convert from mxnet to onnx failed, with Unrecognized attribute: spatial for operator BatchNormalization

dongjunjundong opened a new issue #14589: convert from mxnet to onnx failed, with Unrecognized attribute: spatial for operator BatchNormalization
URL: https://github.com/apache/incubator-mxnet/issues/14589
 
 
   ## Description
   Failed to convert pretrained mode cifar_resnet110_v1 from mxnet format to onnx;
   
   ## Environment info (Required)
   using the mxnet zoo pre trained module cifar_resnet110_v1 
   mxnet version 1.5.0
   the convert call is below:
   input_shape = [(1,3,32,32)]
   export_model("simple_net-symbol.json","simple_net-0000.params",input_shape)
   
   ## Error Message:
   (Paste the complete error message, including stack trace.)
   
   ~/ENV/lib/python3.5/site-packages/onnx/checker.py in checker(proto, ctx)
        50                         proto_type.__name__))
        51             return getattr(C, py_func.__name__)(
   ---> 52                 proto.SerializeToString(), ctx)
        53         return cast(FuncType, checker)
        54     return decorator
   
   ValidationError: Unrecognized attribute: spatial for operator BatchNormalization
   
   ==> Context: Bad node spec: input: "cifarresnetv10_conv0_fwd" input: "cifarresnetv10_batchnorm0_gamma" input: "cifarresnetv10_batchnorm0_beta" input: "cifarresnetv10_batchnorm0_running_mean" input: "cifarresnetv10_batchnorm0_running_var" output: "cifarresnetv10_batchnorm0_fwd" name: "cifarresnetv10_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 }
   

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