fix: fix bug that transolver uses Transolver attention, not regular d…#166
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MauritsBleeker merged 3 commits intoApr 16, 2026
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HennerM
approved these changes
Apr 16, 2026
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| def set_condition_dim(self) -> "TransolverConfig": | ||
| """Set condition_dim in transformer_block_config based on data_specs.""" |
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| def set_condition_dim(self) -> "TransolverConfig": | |
| """Set condition_dim in transformer_block_config based on data_specs.""" | |
| def set_attention_constructor(self) -> "TransolverConfig": | |
| """Set attention_constructor in transformer_block_config.""" |
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| def set_condition_dim(self) -> "TransolverPlusPlusConfig": | ||
| """Set condition_dim in transformer_block_config based on data_specs.""" |
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| def set_condition_dim(self) -> "TransolverPlusPlusConfig": | |
| """Set condition_dim in transformer_block_config based on data_specs.""" | |
| def set_attention_constructor(self) -> "TransolverPlusPlusConfig": | |
| """Set attention_constructor in transformer_block_configto transolver++.""" |
| assert actual_sum == pytest.approx(expected_sum, abs=1e-5) | ||
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| def test_transolver_determinism_regression_check( |
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A bug slipped in: the Transolver architecture was never using the Transolver attention as intended, but instead using regular dot-product attention. I fix this by adding the
transolverattention constructor string to the Transolver schema after validation is done. Next, I added a deterministic regression test for Transolver that also checks whether we use the correct attention class.