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Setting : Neural Bandit
When setting keep_only_top_n to True, the model keeps the original number of features, resulting in a Pytorch matmul error for the first linear layer:
keep_only_top_n
True
RuntimeError: mat1 and mat2 shapes cannot be multiplied (256x10 and 121x64)
The text was updated successfully, but these errors were encountered:
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Setting : Neural Bandit
When setting
keep_only_top_n
toTrue
, the model keeps the original number of features, resulting in a Pytorch matmul error for the first linear layer:RuntimeError: mat1 and mat2 shapes cannot be multiplied (256x10 and 121x64)
The text was updated successfully, but these errors were encountered: