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* More realistic training setup. * Compute the model accuracy. * Very inefficient backprop for index select. * More backprop. * Fix some backprop issues. * Backprop fix. * Another broadcasting backprop fix. * Better backprop for reducing ops. * Training again. * Add some gradient tests. * Get the training to work.