zhanghang1989 commented on a change in pull request #9931: Add axes support to
Dropout for variational dropout in NLP
URL: https://github.com/apache/incubator-mxnet/pull/9931#discussion_r171929232
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File path: src/operator/nn/dropout.cc
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@@ -93,10 +93,16 @@ Example::
std::vector<TShape> *in_shape, std::vector<TShape> *out_shape){
using namespace mshadow;
CHECK_EQ(in_shape->size(), 1U);
- const TShape &dshape = in_shape->at(0);
+ const DropoutParam& param = nnvm::get<DropoutParam>(attrs.parsed);
+ TShape dshape(in_shape->at(0));
if (dshape.ndim() == 0) return false;
out_shape->clear();
out_shape->push_back(dshape);
+ if (param.axes.ndim() != 0) {
Review comment:
This axes can be empty for normal dropout :)
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