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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/09/24 03:31:46 UTC

[GitHub] [incubator-mxnet] MrYANG23 commented on issue #16176: When convert mxnet model (simple pose) to onnx , the deconvolution’s convert function miss?

MrYANG23 commented on issue #16176:
URL: https://github.com/apache/incubator-mxnet/issues/16176#issuecomment-926316033


   > I'm hitting this problem:
   > I'm using Mxnet 1.6.0 and onnx 1.7.0.
   > 
   > ```
   > onnx.onnx_cpp2py_export.checker.ValidationError: Unrecognized attribute: spatial for operator BatchNormalization
   > 
   > ==> Context: Bad node spec: input: "resnetv1b_conv0_fwd" input: "resnetv1b_batchnormcudnnoff0_gamma" input: "resnetv1b_batchnormcudnnoff0_beta" input: "resnetv1b_batchnormcudnnoff0_running_mean" input: "resnetv1b_batchnormcudnnoff0_running_var" output: "resnetv1b_batchnormcudnnoff0_fwd" name: "resnetv1b_batchnormcudnnoff0_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 }
   > ```
   
   did you solved the problem ,i have the same issues


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