- updated docs for optimization

tests/optimization_test.py

@@ -20,7 +20,8 @@ import unittest
 
 import torch
 
-from pytorch_pretrained_bert import BertAdam, WarmupCosineWithRestartsSchedule
+from pytorch_pretrained_bert import BertAdam
+from pytorch_pretrained_bert.optimization import WarmupCosineWithWarmupRestartsSchedule
 from matplotlib import pyplot as plt
 import numpy as np
 
@@ -50,7 +51,7 @@ class OptimizationTest(unittest.TestCase):
 
 class WarmupCosineWithRestartsTest(unittest.TestCase):
     def test_it(self):
-        m = WarmupCosineWithRestartsSchedule(warmup=0.2, t_total=1, cycles=3)
+        m = WarmupCosineWithWarmupRestartsSchedule(warmup=0.05, t_total=1, cycles=3)
         x = np.arange(0, 1000) / 1000
         y = [m.get_lr_(xe) for xe in x]
         plt.plot(y)