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gradient regularization loss #978

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gradient regularization loss #978

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19 changes: 19 additions & 0 deletions torchtnt/framework/auto_unit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -725,6 +725,25 @@ def maybe_enable_compiled_autograd(
):
loss.backward(retain_graph=self.loss_backward_retain_graph)

# l1 grad nom
if isinstance(self.module, DDP):
_module = self.module.module
else:
_module = self.module
if hasattr(_module, "gradient_l1_loss"):
gradient_l1_loss = _module.gradient_l1_loss()
with maybe_enable_compiled_autograd(self.enable_compiled_autograd):
if grad_scaler:
gradient_l1_loss = grad_scaler.scale(gradient_l1_loss)
gradient_l1_loss.backward(
retain_graph=self.loss_backward_retain_graph
)
else:
gradient_l1_loss.backward(
retain_graph=self.loss_backward_retain_graph
)
loss = loss + gradient_l1_loss

total_grad_norm = None
if should_update_weights:
total_grad_norm = self._update_weights(state)
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