Bugfix/batch eq for scalar#1186
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MischaPanch merged 4 commits intothu-ml:masterfrom Aug 2, 2024
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* Seems that batch slicing leads to slightly different floats some of the time (See: thu-ml#1181)
…-ai/tianshou into bugfix/batch_eq_for_scalar
MischaPanch
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Aug 2, 2024
| assert ( | ||
| Categorical(probs=sliced_probs).probs == get_sliced_dist(dist, selected_idx).probs | ||
| ).all() | ||
| assert torch.allclose(sliced_batch.dist.probs, Categorical(probs=sliced_probs).probs) |
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Thx! I guess it was failing randomly, right?
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Yes, it was sporadically returning inequality. I will take a look at getitem soon as I have an overdue task there with maintaining slicing consistency. Then I can also check what causes slicing to make these little decimal errors.
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Thanks, appreciate it! I don't think the getitem issue can actually be solved, but implementing eq already solves all practical problems of it. So no need to further address it, unless you see some simple way for doing that.
The order of slicing however it's still a valid issue
MischaPanch
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Aug 2, 2024
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Thx for the PR! All looks good, merging now |
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Fixes: #1182
Note: Updated
test_batch.test_slice_distribution()to use allclose (See: #1181).