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[BugFix] Allow for composite action distributions in PPO/A2C losses #2391

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merged 19 commits into from
Sep 4, 2024
Merged

[BugFix] Allow for composite action distributions in PPO/A2C losses #2391

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627b673
account for composite distribution
albertbou92 Aug 10, 2024
9b08555
tests
albertbou92 Aug 11, 2024
a668d0c
fix tests ppo
albertbou92 Aug 12, 2024
e65e1a3
fix tests ppo
albertbou92 Aug 12, 2024
fd60ad7
fix tests ppo
albertbou92 Aug 12, 2024
bc00e2d
fix tests ppo
albertbou92 Aug 12, 2024
e3f61f7
fix tests ppo
albertbou92 Aug 12, 2024
4eb413d
fix tests ppo
albertbou92 Aug 12, 2024
560ddad
fix tests ppo
albertbou92 Aug 12, 2024
2865c92
format
albertbou92 Aug 12, 2024
13a092d
a2c tests
albertbou92 Aug 14, 2024
8bc8e03
a2c tests
albertbou92 Aug 14, 2024
07ec262
a2c tests
albertbou92 Aug 14, 2024
a95eb3d
a2c tests
albertbou92 Aug 14, 2024
8f00828
format
albertbou92 Aug 14, 2024
9ce3c58
docstrings and minor fixes
albertbou92 Aug 14, 2024
ad32b90
docstrings and minor fixes
albertbou92 Aug 14, 2024
37b733f
docstrings fix
albertbou92 Aug 14, 2024
69922fa
added required grad for td
albertbou92 Aug 26, 2024
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@albertbou92
albertbou92 committed Aug 12, 2024
commit 2865c92554b0fbbcf1dbe655f9c419a6c0b19a1b
4 changes: 2 additions & 2 deletions test/test_cost.py
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Expand Up @@ -8443,8 +8443,8 @@ def test_ppo_notensordict(
f"next_{observation_key}": td.get(("next", observation_key)),
}
if loss_class is KLPENPPOLoss:
loc_key = ("params", "action1", "loc") if composite_action_dist else "loc"
scale_key = ("params", "action1", "scale") if composite_action_dist else "scale"
loc_key = "params" if composite_action_dist else "loc"
scale_key = "params" if composite_action_dist else "scale"
kwargs.update({loc_key: td.get(loc_key), scale_key: td.get(scale_key)})

td = TensorDict(kwargs, td.batch_size, names=["time"]).unflatten_keys("_")
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9 changes: 7 additions & 2 deletions torchrl/objectives/ppo.py
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Expand Up @@ -477,9 +477,14 @@ def _log_weight(
raise RuntimeError("tensordict prev_log_prob requires grad.")

if isinstance(dist, CompositeDistribution):
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if tensordict.get(self.tensor_keys.action).batch_size != tensordict.batch_size:
if (
tensordict.get(self.tensor_keys.action).batch_size
!= tensordict.batch_size
):
# This condition can be True in notensordict usage
tensordict.get(self.tensor_keys.action).batch_size = tensordict.batch_size
tensordict.get(
self.tensor_keys.action
).batch_size = tensordict.batch_size
tensordict = dist.log_prob(tensordict)
log_prob = tensordict.get(self.tensor_keys.sample_log_prob)
else:
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