Comments (2)
There is the Loss
class (in TFNetworkLayer
), which is the base class for any kind of loss, also the CE loss (CrossEntropyLoss
class).
It has an option use_normalized_loss
. If it is True
, it will divide the accumulated loss by the number of frames. If it is False
, it will leave the accumulated loss as-is.
from returnn-experiments.
Thank you. use_normalized_loss is by default False, so for example librispeech full setup doesn't use the normalization
from returnn-experiments.
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from returnn-experiments.