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Log gain of all examples instead of unsuccessful examples. #201

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Log gain of all examples instead of unsuccessful examples. #201

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11 changes: 4 additions & 7 deletions mart/attack/adversary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,6 +123,9 @@ def training_step(self, batch, batch_idx):
# Use CallWith to dispatch **outputs.
gain = self.gain_fn(**outputs)

# Log gain of all examples as a metric for LR scheduler to monitor, and show gain on progress bar.
self.log("gain", gain.sum(), prog_bar=True)

# objective_fn is optional, because adversaries may never reach their objective.
if self.objective_fn is not None:
found = self.objective_fn(**outputs)
Expand All @@ -131,13 +134,7 @@ def training_step(self, batch, batch_idx):
if len(gain.shape) > 0:
gain = gain[~found]

if len(gain.shape) > 0:
gain = gain.sum()

# Log gain as a metric for LR scheduler to monitor, and show gain on progress bar.
self.log("gain", gain, prog_bar=True)

return gain
return gain.sum()

def configure_gradient_clipping(
self, optimizer, gradient_clip_val=None, gradient_clip_algorithm=None
Expand Down