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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/12/20 10:25:59 UTC

[GitHub] zhaoningning opened a new issue #9156: float64 data backward error using gluon

zhaoningning opened a new issue #9156: float64 data backward error using  gluon
URL: https://github.com/apache/incubator-mxnet/issues/9156
 
 
   I write a custom loss in gluon,and when  using  float32 data type, everything is ok, but  whien I changed to  use float64 data type,there is a  error says: 
   ?include/mxnet/././tensor_blob.h:217: Check failed: mshadow::DataType<DType>::kFlag == type_flag_ TBlob.get_with_shape: data type do not match specified type.Expected: 0 v.s. given 1?? 
   this happend   after  loss is calculated ,when  loss.backward ()  is executed.
    mxnet version is 1.0.0, ubuntu 14.04,python2.7

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