def set_parameters()

in abstractive_summarization/src/others/optimizer.py [0:0]

• 30 lines of code
• 12 McCabe index (conditional complexity)

    def set_parameters(self, params):
        """ ? """
        self.params = []
        self.sparse_params = []
        for k, p in params:
            if p.requires_grad:
                if self.method != 'sparseadam' or "embed" not in k:
                    self.params.append(p)
                else:
                    self.sparse_params.append(p)
        if self.method == 'sgd':
            self.optimizer = optim.SGD(self.params, lr=self.learning_rate)
        elif self.method == 'adagrad':
            self.optimizer = optim.Adagrad(self.params, lr=self.learning_rate)
            for group in self.optimizer.param_groups:
                for p in group['params']:
                    self.optimizer.state[p]['sum'] = self.optimizer\
                        .state[p]['sum'].fill_(self.adagrad_accum)
        elif self.method == 'adadelta':
            self.optimizer = optim.Adadelta(self.params, lr=self.learning_rate)
        elif self.method == 'adam':
            self.optimizer = optim.Adam(self.params, lr=self.learning_rate,
                                        betas=self.betas, eps=1e-9)
        elif self.method == 'sparseadam':
            self.optimizer = MultipleOptimizer(
                [optim.Adam(self.params, lr=self.learning_rate,
                            betas=self.betas, eps=1e-8),
                 optim.SparseAdam(self.sparse_params, lr=self.learning_rate,
                                  betas=self.betas, eps=1e-8)])
        else:
            raise RuntimeError("Invalid optim method: " + self.method)