kaleidoscopical edited a comment on issue #12001: SyncBatchNorm problems URL: https://github.com/apache/incubator-mxnet/issues/12001#issuecomment-447550525 @tranvanhoa533 which error message it shows? Hi @zhanghang1989 ! I think it still has a problem when training with multiple precision, leading to `mxnet.base.MXNetError: [17:38:53] include/mxnet/././tensor_blob.h:236: Check failed: mshadow::DataType<DType>::kFlag == type_flag_ TBlob.get_with_shape: data type do not match specified type.Expected: 2 v.s. given 0` This error message disappears when adding an explicit cast of type right before (16 to 32) and after (32 to 16) `mx.sym.contrib.SyncBatchNorm` using `mx.sym.cast`. It is tedious and sacrifices much more memory and speed. Any suggestion to solve it?
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