yifeim opened a new issue #13247: Support None as input in forward and hybrid_forward? URL: https://github.com/apache/incubator-mxnet/issues/13247 ## Description (Hybrid) forward supports None as defaults, but not as inputs. I was wondering if there are any fundamental reasons why None cannot be taken as input - if the pattern is consistent and I do not change the computation graph? ## Environment info (Required) ``` ----------Python Info---------- Version : 3.6.5 Compiler : GCC 7.2.0 Build : ('default', 'Apr 29 2018 16:14:56') Arch : ('64bit', '') ------------Pip Info----------- Version : 10.0.1 Directory : /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/pip ----------MXNet Info----------- Version : 1.3.0 Directory : /home/ec2-user/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet Commit Hash : b3be92f4a48bce62a5a8424271871c2f81c8f7f1 ----------System Info---------- Platform : Linux-4.14.77-69.57.amzn1.x86_64-x86_64-with-glibc2.9 system : Linux node : ip-172-16-72-155 release : 4.14.77-69.57.amzn1.x86_64 version : #1 SMP Tue Nov 6 21:32:55 UTC 2018 ----------Hardware Info---------- machine : x86_64 processor : x86_64 ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0016 sec, LOAD: 0.4079 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1175 sec, LOAD: 0.1057 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.2767 sec, LOAD: 0.1359 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0274 sec, LOAD: 0.1023 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0023 sec, LOAD: 0.3404 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0081 sec, LOAD: 0.3184 sec. ``` Package used (Python/R/Scala/Julia): Python ## Error Message: ``` AssertionError: HybridBlock input must be (nested) list of Symbol or NDArray, but got None of type <class 'NoneType'> ``` ## Minimum reproducible example ``` import mxnet as mx rnn = mx.gluon.rnn.GRU(10) rnn.hybridize() rnn.collect_params().initialize() rnn(mx.nd.zeros((3,2,10)), ) # this is okay rnn(mx.nd.zeros((3,2,10)), None) # this is not okay ``` ## Steps to reproduce 1. The example is self-contained. ## What have you tried to solve it? 1. Manually construct an *args list, which seems error-prone.
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