Closed ghostcow closed 6 years ago
upsampling_factor==0
represents that we do not use additional upsampling layer.
In other words, when we set upsampling_factor>0
, instead of the use of extended features (/feat
), we use UpSampling
layer with original features (/feat_org
).
Therefore, in decoding, if upsampling_factor != 0
, /feat_org
is loaded.
Sorry for my misleading script.
Thanks
In feature_extract.py lines 241-242
/feat
holds the extended features (upsampled features), and/feat_org
holds the original features.On the other hand, decode.py lines 74-77,
/feat
is loaded from the features file whenupsampling_factor == 0
, and/feat_org
is loaded otherwise.Shouldn't it be the other way around?
Thanks