[ADD] Class for treating flattened embedding weights with a pre-conditioner #36
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runame
approved these changes
Nov 4, 2024
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Added tests, thanks! |
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As requested by @yorkerlin, this PR adds the functionality to treat flattened weight matrices of embedding layers.
With this option, we can reshape
W(2d) intovec(W)(1d), and use a pre-conditioner that consists of a single Kronecker factor (usually equipped with diagonal structure). This allows training embedding layer weights with inverse- and root-free RMSProp.