wkcn commented on a change in pull request #18504: URL: https://github.com/apache/incubator-mxnet/pull/18504#discussion_r449349061
########## 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: Yes, the dtype of `.ndim()` is `int32_t`. variable|dtype ---|--- ProdShape | size_t shape_[i] | dim_t, int64_t ndim() | int32_t The signature of `ProdShape` is `size_t ProdShape(int dimstart, int dimend) const`. ---------------------------------------------------------------- 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