Closed jramapuram closed 8 years ago
You're right, it was an issue about input view names.
Since it is a general Sq. Diff. layer (it computes gradients WRT both inputs), it is not using the default/target names used by layers like SoftmaxCE. We plan to address this soon by introducing a similar layer just for Regression which will be more intuitive to use, and won't compute the extra gradient.
For now I've fixed the tool, so it should work.
Great, thanks for the quick turn around. Looks like it is working now.
@jramapuram Could you post a simple regression example where the network is used to predict something?
@flukeskywalker The pip version still suffers from this bug btw. Since it is pretty decremental it should perhaps be forwarded there?
Thanks @sjoerdvansteenkiste. We will do a new release tomorrow to fix this situation.
It looks like regression is looking for inputs names
inputs_1
andinputs_2
instead oftarget
anddefault
.Also, I can't seem to get this to work even with the named changes. I get an error as such:
Sizing is:
Input shape: (1411889, 1, 1) | Target shape: (1411889, 1, 1)