Skip to content

add fallback_to_policy_gradient option #443

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
pan-x-c merged 2 commits into from
Dec 16, 2025
Merged

add fallback_to_policy_gradient option #443

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
7412385
add fallback_to_policy_gradient option
binary-husky Dec 12, 2025
f55914c
remove print and add comment
binary-husky Dec 16, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 8 additions & 0 deletions trinity/algorithm/policy_loss_fn/ppo_policy_loss.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@ def __init__(
loss_agg_mode: Optional[str] = "token-mean",
enable_sequence_masking: bool = False, # introduced in DeepseekV3.2
delta_sequence_masking: float = 0.1,
fallback_to_policy_gradient: bool = False,
) -> None:
super().__init__(backend=backend)
if clip_range_low is None:
Expand All @@ -40,6 +41,7 @@ def __init__(
self.loss_agg_mode = loss_agg_mode
self.enable_sequence_masking = enable_sequence_masking
self.delta_sequence_masking = delta_sequence_masking
self.fallback_to_policy_gradient = fallback_to_policy_gradient

def __call__( # type: ignore
self,
Expand All @@ -50,6 +52,11 @@ def __call__( # type: ignore
**kwargs,
) -> Tuple[torch.Tensor, Dict]:
negative_approx_kl = logprob - old_logprob
if self.fallback_to_policy_gradient:
print('------')
print('logprob shape:', logprob.shape)
print('------')
negative_approx_kl = logprob - logprob.detach()
# Clamp negative_approx_kl for stability
negative_approx_kl = torch.clamp(negative_approx_kl, min=-20.0, max=20.0)
ratio = torch.exp(negative_approx_kl)
Expand Down Expand Up @@ -119,4 +126,5 @@ def default_args(cls) -> Dict:
"loss_agg_mode": "token-mean",
"enable_sequence_masking": False,
"delta_sequence_masking": 0.1,
"fallback_to_policy_gradient": False,
}
Loading