def train(TRAIN_CONFIGS, GRU_CONFIGS):
nTrial = TRAIN_CONFIGS.get("trials")
for trial_num in range(nTrial):
print(trial_num)
if Trainer.pickled_exists(TRAIN_CONFIGS, trial_num):
print("trial already ran.")
pass
else:
trainer = Trainer(TRAIN_CONFIGS, GRU_CONFIGS)
trainer.fit
trainer.pickle_save(trial_num)
trainer.gen_relative_graphs(trial_num, freq=10, pause=False)
trainer.save_train_test_metrics(trial_num)
plot_experiment_results(TRAIN_CONFIGS, "Relative Spacing", save=True)
