+ seeds = torch.LongTensor(self.nb_batches).random_()
+ mp_args = []
+ for b in range(0, self.nb_batches):
+ mp_args.append( [ problem_number, batch_size, seeds[b] ])
+
+ self.data = []
+ for b in range(0, self.nb_batches):
+ self.data.append(generate_one_batch(mp_args[b]))