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corrected comment regarding .train and .eval #2659

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Nov 7, 2023
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5 changes: 3 additions & 2 deletions beginner_source/introyt/tensorboardyt_tutorial.py
Original file line number Diff line number Diff line change
Expand Up @@ -214,13 +214,14 @@ def forward(self, x):
# Check against the validation set
running_vloss = 0.0

net.train(False) # Don't need to track gradents for validation
# In evaluation mode some model specific operations can be omitted eg. dropout layer
net.train(False) # Switching to evaluation mode, eg. turning off regularisation
for j, vdata in enumerate(validation_loader, 0):
vinputs, vlabels = vdata
voutputs = net(vinputs)
vloss = criterion(voutputs, vlabels)
running_vloss += vloss.item()
net.train(True) # Turn gradients back on for training
net.train(True) # Switching back to training mode, eg. turning on regularisation

avg_loss = running_loss / 1000
avg_vloss = running_vloss / len(validation_loader)
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