decagon-pytorch

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Verlauf

Stanislaw Adaszewski 6cf3175950 Remove an extra newline.		vor 4 Jahren
..
unused	Remove loss as no longer necessary.	vor 4 Jahren
__init__.py	Work on icosagon.trainprep.	vor 4 Jahren
batch.py	Introduce FlatPredictions, flatten_predictions(), BatchIndices, gather_batch_indices().	vor 4 Jahren
compile.py	Performance tests.	vor 4 Jahren
convlayer.py	Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes.	vor 4 Jahren
convolve.py	Remove an extra newline.	vor 4 Jahren
data.py	Clean up _equal().	vor 4 Jahren
declayer.py	Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes.	vor 4 Jahren
decode.py	Use torch.nn.Parameter(List) in decode.	vor 4 Jahren
dropout.py	Fix for sparse_coo_tensor().	vor 4 Jahren
input.py	Fix for non-leaf .grad warning.	vor 4 Jahren
model.py	Add TrainLoop.	vor 4 Jahren
normalize.py	Fixes for bool sparse tensors.	vor 4 Jahren
sampling.py	Fixes for the GPU.	vor 4 Jahren
trainloop.py	Add some debug output for profiling, the bottleneck is in DecodeLayer but also comes generally from computing always all nodes.	vor 4 Jahren
trainprep.py	Fixes for the GPU.	vor 4 Jahren
weights.py	Bring more elements to icosagon.	vor 4 Jahren