EFF Speed-up MiniBatchDictionaryLearning by avoiding multiple validation #25490
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MinibatchDictionaryLearning calls public functions that call public classes themselves. We end up validating the parameters and the input/dict twice per minibatch. When the batch size is large it has barely no impact but for small batch sizes it can be very detrimental.
For instance, here's a profiling result in the extreme case batch_size=1

This PR removes the first one. It's a param validation coming from

sparse_encode
. The profiling now givesthe first block is gone. I intend to deal with the other ones in follow up PRs