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Set transfer learning model in eval mode in visualize_model function #205

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Jan 31, 2018
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Set transfer learning model in eval mode in visualize_model function #205

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4 changes: 4 additions & 0 deletions beginner_source/transfer_learning_tutorial.py
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Original file line number Diff line number Diff line change
Expand Up @@ -222,6 +222,8 @@ def train_model(model, criterion, optimizer, scheduler, num_epochs=25):
#

def visualize_model(model, num_images=6):
was_training = model.training
model.eval()
images_so_far = 0
fig = plt.figure()

Expand All @@ -243,7 +245,9 @@ def visualize_model(model, num_images=6):
imshow(inputs.cpu().data[j])

if images_so_far == num_images:
model.train(mode=was_training)
return
model.train(mode=was_training)

######################################################################
# Finetuning the convnet
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