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geolip-svd-encoder-sweeps

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AbstractPhil commited on Apr 18

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@@ -57,7 +57,7 @@ former = svd_transformer(
                           # "SUVt" or "SUV" geometric tokens returned only, QKV transformation learning not applied.
   target="SVD",           # "SVD" targets all 3, good for complex tasks.
                           # "VD" targets only VD for attention
-                          # "SV" targets only SV for attention
                           # "S" or "V" targets only one of these, would not recommend but it has uses.
   svd_solver="auto",      # svd solver type,
                           # "auto" backend default, picks best from the combination using the benchmarks

                           # "SUVt" or "SUV" geometric tokens returned only, QKV transformation learning not applied.
   target="SVD",           # "SVD" targets all 3, good for complex tasks.
                           # "VD" targets only VD for attention
+                          # "SV" targets only SV for attention, still hardware limited by D as that's an upstream task.
                           # "S" or "V" targets only one of these, would not recommend but it has uses.
   svd_solver="auto",      # svd solver type,
                           # "auto" backend default, picks best from the combination using the benchmarks