Adds more unit tests for trainers with CV and fuixed a typo

bob/learn/pytorch/architectures/FASNet.py

@@ -8,7 +8,7 @@ class FASNet(nn.Module):
 	"""PyTorch Reimplementation of Lucena, Oeslle, et al. "Transfer learning using 
 	convolutional neural networks for face anti-spoofing."
 	International Conference Image Analysis and Recognition. Springer, Cham, 2017.
-	eferenced from keras implementation: https://github.com/OeslleLucena/FASNet
+	Referenced from keras implementation: https://github.com/OeslleLucena/FASNet
 
 	Attributes:
 		pretrained: bool

bob/learn/pytorch/test/test.py

@@ -239,6 +239,27 @@ def test_MCCNNtrainer():
   os.remove('model_1_0.pth')   
 
 
+def test_MCCNNtrainer_cv():
+
+  from ..architectures import MCCNN
+  net = MCCNN(num_channels=4)
+
+  dataloader={}
+  dataloader['train'] = torch.utils.data.DataLoader(DummyDataSetMCCNN(), batch_size=32, shuffle=True)
+  dataloader['val'] = torch.utils.data.DataLoader(DummyDataSetMCCNN(), batch_size=32, shuffle=True)
+
+  from ..trainers import MCCNNTrainer
+  trainer = MCCNNTrainer(net, verbosity_level=3, do_crossvalidation=True)
+  trainer.train(dataloader, n_epochs=1, output_dir='.')
+
+  import os
+  assert os.path.isfile('model_1_0.pth')
+  assert os.path.isfile('model_100_0.pth') # the best model
+
+  os.remove('model_1_0.pth')  
+  os.remove('model_100_0.pth')   
+
+
 class DummyDataSetFASNet(Dataset):
   def __init__(self):
     pass
@@ -268,6 +289,26 @@ def test_FASNettrainer():
   os.remove('model_1_0.pth') 
 
 
+def test_FASNettrainer_cv():
+
+  from ..architectures import FASNet
+  net = FASNet()
+
+  dataloader={}
+  dataloader['train'] = torch.utils.data.DataLoader(DummyDataSetFASNet(), batch_size=32, shuffle=True)
+  dataloader['val'] = torch.utils.data.DataLoader(DummyDataSetFASNet(), batch_size=32, shuffle=True)
+
+  from ..trainers import FASNetTrainer
+  trainer = FASNetTrainer(net, verbosity_level=3,do_crossvalidation=True)
+  trainer.train(dataloader, n_epochs=1, output_dir='.')
+
+  import os
+  assert os.path.isfile('model_1_0.pth')
+  assert os.path.isfile('model_100_0.pth')
+
+  os.remove('model_1_0.pth')
+  os.remove('model_100_0.pth')
+
 class DummyDataSetGAN(Dataset):
   def __init__(self):
     pass