Traceback (most recent call last):
File "visualize.py", line 580, in <module>
main()
File "visualize.py", line 545, in main
model = load_model(args.model, feature_set)
File "visualize.py", line 465, in load_model
reader = NNUEReader(f, feature_set)
File "/home/vondele/chess/vondele/nnue-pytorch/serialize.py", line 149, in __init__
self.read_feature_transformer(self.model.input, self.model.num_psqt_buckets)
File "/home/vondele/chess/vondele/nnue-pytorch/serialize.py", line 184, in read_feature_transformer
weights = self.tensor(numpy.int16, [shape[0], shape[1]-num_psqt_buckets])
File "/home/vondele/chess/vondele/nnue-pytorch/serialize.py", line 176, in tensor
d = d.reshape(shape)
RuntimeError: shape '[23296, 1024]' is invalid for input of size 23499680
Yea, this script has been left quite behind. It needs some serious reengineering due to feature set changes and much different sizes and counts of layers to visualize.