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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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docstrings and minor fixes
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@albertbou92
albertbou92 committed Aug 14, 2024
commit ad32b909d3338932245100a36907b64250887310
14 changes: 12 additions & 2 deletions test/test_cost.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8950,14 +8950,24 @@ def test_a2c_separate_losses(self, separate_losses, composite_action_dist):
separate_losses=separate_losses,
)

def set_requires_grad(tensor, requires_grad):
tensor.requires_grad = requires_grad
return tensor

# Check error is raised when actions require grads
td["action"].requires_grad = True
if composite_action_dist:
td["action"].apply_(lambda x: set_requires_grad(x, True))
else:
td["action"].requires_grad = True
with pytest.raises(
RuntimeError,
match="tensordict stored action requires grad.",
):
_ = loss_fn._log_probs(td)
td["action"].requires_grad = False
if composite_action_dist:
td["action"].apply_(lambda x: set_requires_grad(x, False))
else:
td["action"].requires_grad = False

td = td.exclude(loss_fn.tensor_keys.value_target)
loss = loss_fn(td)
Expand Down