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Log the saturation percentage of the output #56

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Dec 14, 2023
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Log the saturation percentage of the output #56

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7 changes: 7 additions & 0 deletions src/skelcast/experiments/runner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -188,6 +188,10 @@ def training_step(self, train_batch: NTURGBDSample):
self.model.train()
out = self.model.training_step(x, y, mask) # TODO: Make the other models accept a mask as well
loss = out['loss']
outputs = out['out']
# Calculate the saturation of the tanh output
saturated = (outputs.abs() > 0.95)
saturation_percentage = saturated.sum(dim=(1, 2)).float() / (outputs.size(1) * outputs.size(2)) * 100
self.optimizer.zero_grad()
loss.backward()
if self.log_gradient_info:
Expand All @@ -205,6 +209,9 @@ def training_step(self, train_batch: NTURGBDSample):
for name, ratio in self.model.gradient_update_ratios.items():
self.logger.add_scalar(tag=f'gradient/{name}_grad_update_norm_ratio', scalar_value=ratio, global_step=len(self.training_loss_per_step))

if self.logger is not None:
self.logger.add_scalar(tag='train/saturation', scalar_value=saturation_percentage.mean().item(), global_step=len(self.training_loss_per_step))

self.optimizer.step()
# Print the loss
self.training_loss_per_step.append(loss.item())
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