diff options
| author |  Benoit Steiner <benoit.steiner.goog@gmail.com> | 2016-05-26 15:14:00 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-05-26 16:18:36 -0700 |
| commit | 36357e7e1127873165694a38e3a989df4e0b6ffe (patch) | |
| tree | eaf00810dfaefdc7f308a088829a3798af23e7bc /tensorflow/core/kernels/batch_norm_op.h | |
| parent | e1b4934bb59904ee4dd243a34cc8356ff6bd266d (diff) | |
Added support for half floats to the batch normalization op
Change: 123368006
Diffstat (limited to 'tensorflow/core/kernels/batch_norm_op.h')
| -rw-r--r-- | tensorflow/core/kernels/batch_norm_op.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/core/kernels/batch_norm_op.h b/tensorflow/core/kernels/batch_norm_op.h index baef68125e..94707e9be9 100644 --- a/tensorflow/core/kernels/batch_norm_op.h +++ b/tensorflow/core/kernels/batch_norm_op.h @@ -29,7 +29,7 @@ struct BatchNorm { typename TTypes<T>::ConstVec mean, typename TTypes<T>::ConstVec var, typename TTypes<T>::ConstVec beta, - typename TTypes<T>::ConstVec gamma, float variance_epsilon, + typename TTypes<T>::ConstVec gamma, T variance_epsilon, bool scale_after_normalization, typename TTypes<T, 4>::Tensor output) { const int depth = mean.dimension(0); @@ -77,7 +77,7 @@ struct BatchNormGrad { typename TTypes<T>::ConstVec var, typename TTypes<T>::ConstVec gamma, typename TTypes<T, 4>::ConstTensor out_backprop, - float variance_epsilon, bool scale_after_normalization, + T variance_epsilon, bool scale_after_normalization, typename TTypes<T, 4>::Tensor dx, typename TTypes<T>::Vec dm, typename TTypes<T>::Vec dv, typename TTypes<T>::Vec db, typename TTypes<T>::Vec dg, typename TTypes<T>::Vec scratch1, |