DNXie opened a new issue #18991:
URL: https://github.com/apache/incubator-mxnet/issues/18991


   ## Description
   The following 4 APIs don't accept the parameter `graph` as stated in the 
Parameter section.
   
   - `mxnet.contrib.ndarray.dgl_subgraph`: 
https://mxnet.apache.org/versions/1.6/api/python/docs/api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dgl_subgraph
   - `mxnet.contrib.symbol.dgl_subgraph`: 
https://mxnet.apache.org/versions/1.6/api/python/docs/api/contrib/symbol/index.html#mxnet.contrib.symbol.dgl_subgraph
   - `mxnet.ndarray.contrib.dgl_subgraph`: 
https://mxnet.apache.org/versions/1.6/api/python/docs/api/ndarray/contrib/index.html#mxnet.ndarray.contrib.dgl_subgraph
   - `mxnet.symbol.contrib.dgl_subgraph`: 
https://mxnet.apache.org/versions/1.6/api/python/docs/api/symbol/contrib/index.html#mxnet.symbol.contrib.dgl_subgraph
   
   
   ### Error Message
   (Paste the complete error message. Please also include stack trace by 
setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=10` before running 
your script.)
   ~~~python
   terminate called after throwing an instance of 'dmlc::ParamError'
     what():  value 0 for Parameter num_args should be greater equal to 2
   num_args: Number of input arguments, including all symbol inputs., in 
operator _contrib_dgl_subgraph(name="", num_args="0", data="
   [0. 1. 2.]
   <NDArray 3 @cpu(0)>", return_mapping="True", graph="
   [[1. 0. 0. 2.]
    [3. 0. 4. 0.]
    [0. 5. 0. 0.]
    [0. 6. 7. 0.]]
   <NDArray 4x4 @cpu(0)>")
   Aborted (core dumped)
   ~~~
   
   
   
   
   
   ## To Reproduce
   (If you developed your own code, please provide a short script that 
reproduces the error. For existing examples, please provide link.)
   
   ~~~python
   import mxnet
   x=[[1, 0, 0, 2],
     [3, 0, 4, 0],
     [0, 5, 0, 0],
     [0, 6, 7, 0]]
   v = [0, 1, 2]
   x=mxnet.nd.array(x)
   v=mxnet.nd.array(v)
   mxnet.symbol.contrib.dgl_subgraph(graph=x, data=v, return_mapping=True)
   ~~~
   
   
   ## 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
   ```
   OS: ubuntu 18.04
   Python: 3.7.6
   pip: 20.0.2
   numpy: 1.18.5
   mxnet: 1.6.0


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