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[BUGFIX] Add check to make sure num_group is non-zero #20186

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Apr 19, 2021
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6 changes: 6 additions & 0 deletions src/operator/nn/convolution.cc
Original file line number Diff line number Diff line change
Expand Up @@ -99,6 +99,8 @@ static bool ConvolutionShape(const nnvm::NodeAttrs& attrs,
// 1d conv
CHECK_EQ(dshp.ndim(), 3U) << "Input data should be 3D in batch-num_filter-x";
Shape<3> dshape = ConvertLayout(dshp.get<3>(), param_.layout.value(), kNCW);
CHECK_GT(param_.num_group, 0U) \
<< "Range only supports num_group > 0, received " << param_.num_group;
Shape<3> wshape = Shape3(param_.num_filter / param_.num_group,
mxnet::dim_size_is_known(dshape, 1) ? dshape[1] / param_.num_group : -1,
param_.kernel[0]);
Expand Down Expand Up @@ -149,6 +151,8 @@ static bool ConvolutionShape(const nnvm::NodeAttrs& attrs,
CHECK_EQ(dshp.ndim(), 4U) \
<< "Input data should be 4D in batch-num_filter-y-x";
Shape<4> dshape = ConvertLayout(dshp.get<4>(), param_.layout.value(), kNCHW);
CHECK_GT(param_.num_group, 0U) \
<< "Range only supports num_group > 0, received " << param_.num_group;
Shape<4> wshape = Shape4(param_.num_filter / param_.num_group,
mxnet::dim_size_is_known(dshape, 1) ? dshape[1] / param_.num_group : -1,
param_.kernel[0], param_.kernel[1]);
Expand Down Expand Up @@ -208,6 +212,8 @@ static bool ConvolutionShape(const nnvm::NodeAttrs& attrs,
CHECK_EQ(dshp.ndim(), 5U) \
<< "Input data should be 5D in batch-num_filter-depth-y-x";
Shape<5> dshape = ConvertLayout(dshp.get<5>(), param_.layout.value(), kNCDHW);
CHECK_GT(param_.num_group, 0U) \
<< "Range only supports num_group > 0, received " << param_.num_group;
Shape<5> wshape = Shape5(param_.num_filter / param_.num_group,
mxnet::dim_size_is_known(dshape, 1) ? dshape[1] / param_.num_group : -1,
param_.kernel[0], param_.kernel[1], param_.kernel[2]);
Expand Down