Eric.yue

I feel the implementation is somewhat incoherent with my understanding. Line 49 of `grand.py`: ``` self.norm_matrix[i * self.args.selection_batch:min((i + 1) * self.args.selection_batch, sample_num), self.cur_repeat] = torch.norm(torch.cat([bias_parameters_grads, ( self.model.embedding_recorder.embedding.view(batch_num, 1, embedding_dim).repeat(1,...