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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/05/30 01:37:51 UTC

[GitHub] [incubator-mxnet] ywwhxxtw opened a new issue #15101: Operator ConstantFill not implemented

ywwhxxtw opened a new issue #15101: Operator ConstantFill not implemented
URL: https://github.com/apache/incubator-mxnet/issues/15101
 
 
   ## Description
   I trained a Tacotron model in pytorch and exported to onnx. And now I would like to import the model to mxnet, but I met **NotImplementedError: Operator ConstantFill not implemented.** this error.
   
   ## Environment info (Required)
   
   Ubuntu 16.04, python 3.7.3, mxnet 1.4.1 with onnx 1.5.0, all in anaconda env
   
   Build config:
   mxnet installed using pip and onnx installed using conda
   
   ## Error Message:
   ```
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "/home/myname/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/import_model.py", line 59, in import_model
       sym, arg_params, aux_params = `graph.from_onnx(model_proto.graph)`
     File "/home/myname/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/import_onnx.py", line 115, in from_onnx
       mxnet_sym = self._convert_operator(node_name, op_name, onnx_attr, inputs)
     File "/home/myname/.conda/envs/mxnet/lib/python3.7/site-packages/mxnet/contrib/onnx/onnx2mx/import_onnx.py", line 63, in _convert_operator
       raise NotImplementedError("Operator {} not implemented.".format(op_name))
   NotImplementedError: Operator ConstantFill not implemented.
   ```
   
   
   ## Minimum reproducible example
   I think the problem is most likely because of this padding
   %276 : Float(128!, 74!) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0], value=0](%275), scope: Tacotron/Encoder[encoder]/EncoderCBHG[cbhg]/CBHG[cbhg]/BatchNormConv1d/ConstantPad1d[padder]
   
   ## What have you tried to solve it?
   
   1. At first I got the same issue in this [link](https://github.com/apache/incubator-mxnet/issues/13949) with mxnet 1.2.1, then I update my mxnet version and here comes the present `issue`
   

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