Comments (2)
As for the Optimization loop message: It is only a Warning, not an error, and concerns the optimization, which shouldn't matter at this point (the conversion assumes training is completed). Did you perhaps add a "fit" call somewhere? You should be able to get rid of the warning by either setting model.trainable = True
(source) or making sure your batch size (16) is not larger than your entire dataset, i.e. the 3 test samples specified in your config (source).
As for the accuracy, how do you know it is wrong? Is it possible that with only three test samples you just might have gotten lucky? Perhaps test on a larger number of samples. Also, you probably need to modify the accuracy calculation somehow. By default the toolbox assumes a classification task with one-hot labels, and I don't know if your time series forecasting works that way.
from snn_toolbox.
Update; the KeyError was caused by me forgetting to clean the log directory. It does however still run into an Optimization loop failed: CANCELLED: Operation was cancelled
, giving a wrong accuracy of 100% no matter the model after the first simulation step. Data shape is (16, 14, 4)
for X and (16, 1)
on Y for time series forecasting.
from snn_toolbox.
Related Issues (20)
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from snn_toolbox.