wkcn commented on a change in pull request #18504: URL: https://github.com/apache/incubator-mxnet/pull/18504#discussion_r449849259
########## File path: src/operator/nn/cudnn/cudnn_batch_norm-inl.h ########## @@ -262,15 +262,26 @@ class CuDNNBatchNormOp { private: void Init(const TBlob &in_data) { - if (in_data.ndim() == 4) { - for (int i = 0; i < 4; ++i) - shape_[i] = in_data.shape_[i]; + CHECK_GE(param_.axis, 0); + CHECK_LT(param_.axis, in_data.ndim()); + if (param_.axis == 1) { + if (in_data.ndim() == 4) { + for (int i = 0; i < 4; ++i) + shape_[i] = in_data.shape_[i]; + } else { + // when in_data.ndim() != 4 + shape_[0] = in_data.shape_[0]; + shape_[1] = in_data.ndim() > 1 ? in_data.shape_[1] : 1; + shape_[2] = 1; + shape_[3] = in_data.shape_.ProdShape(2, in_data.ndim()); + } } else { - // when in_data.ndim() != 4 - shape_[0] = in_data.shape_[0]; - shape_[1] = in_data.ndim() > 1 ? in_data.shape_[1] : 1; + // reshape to (N, C, 1, D), C is the `param_.axis` dimension + shape_[0] = static_cast<dim_t>(in_data.shape_.ProdShape(0, param_.axis)); + shape_[1] = in_data.shape_[param_.axis]; shape_[2] = 1; - shape_[3] = in_data.shape_.ProdShape(2, in_data.ndim()); + shape_[3] = static_cast<dim_t>(in_data.shape_.ProdShape(param_.axis + 1, + static_cast<int>(in_data.ndim()))); Review comment: Hi @mseth10 , do you have any suggestion about whether to use `static_cast` ? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org