调整学习率改变策略

main.py

@@ -9,7 +9,7 @@ from mindspore import Model
 from nets.deeplab_v3 import deeplab_v3
 from dataset import GetDatasetGenerator
 from loss import SoftmaxCrossEntropyLoss
-from learning_rates import exponential_lr
+from learning_rates import exponential_lr, cosine_lr
 
 context.set_context(mode=context.PYNATIVE_MODE, save_graphs=False,
                     device_target='Ascend', device_id=7)
@@ -20,7 +20,8 @@ train_dataset_generator = GetDatasetGenerator('./datasets', 'train')
 train_dataset = ds.GeneratorDataset(train_dataset_generator, ["data", "label"], shuffle=True)
 train_dataset = train_dataset.batch(4, drop_remainder=True)
 
-lr_iter = exponential_lr(3e-5, 100, 0.98, 500, staircase=True)
+# lr_iter = exponential_lr(3e-5, 100, 0.98, 500, staircase=True)
+lr_iter = cosine_lr(3e-5, 20, 500)
 
 net_loss = SoftmaxCrossEntropyLoss(6, 255)
 net_opt = nn.Adam(net.trainable_params(), learning_rate=lr_iter)