File tree Expand file tree Collapse file tree 2 files changed +2
-2
lines changed
docs/source-pytorch/common
examples/fabric/build_your_own_trainer Expand file tree Collapse file tree 2 files changed +2
-2
lines changed Original file line number Diff line number Diff line change 2
2
Truncated Backpropagation Through Time (TBPTT)
3
3
##############################################
4
4
5
- Truncated Backpropagation Through Time (TBPTT) performs backpropogation every k steps of
5
+ Truncated Backpropagation Through Time (TBPTT) performs backpropagation every k steps of
6
6
a much longer sequence. This is made possible by passing training batches
7
7
split along the time-dimensions into splits of size k to the
8
8
``training_step ``. In order to keep the same forward propagation behavior, all
Original file line number Diff line number Diff line change @@ -35,7 +35,7 @@ def __init__(
35
35
checkpoint_dir : str = "./checkpoints" ,
36
36
checkpoint_frequency : int = 1 ,
37
37
) -> None :
38
- """Exemplary Trainer with Fabric. This is a very simple trainer focused on readablity but with reduced
38
+ """Exemplary Trainer with Fabric. This is a very simple trainer focused on readability but with reduced
39
39
featureset. As a trainer with more included features, we recommend using the
40
40
:class:`lightning.pytorch.Trainer`.
41
41
You can’t perform that action at this time.
0 commit comments