diff options
Diffstat (limited to 'experiments/rain_ep_layer_adapter_smoke.py')
| -rw-r--r-- | experiments/rain_ep_layer_adapter_smoke.py | 20 |
1 files changed, 20 insertions, 0 deletions
diff --git a/experiments/rain_ep_layer_adapter_smoke.py b/experiments/rain_ep_layer_adapter_smoke.py index 8959217..24c9e0a 100644 --- a/experiments/rain_ep_layer_adapter_smoke.py +++ b/experiments/rain_ep_layer_adapter_smoke.py @@ -125,12 +125,32 @@ def main() -> None: assert innovation.debiaser.neutral_observations == 64 assert constant.debiaser.neutral_observations == 64 assert all(not value.requires_grad for value in innovation_used.values()) + + positive_field = RainLayerStateCorrector( + mode="raw", bias_ratio=2e-4, bias_normalization="first_state", seed=47) + negative_field = RainLayerStateCorrector( + mode="raw", bias_ratio=2e-4, bias_normalization="first_state", seed=47) + positive_field.apply(first, second, layer_names) + negative_second = { + name: value - clean_difference[name] for name, value in first.items() + } + negative_field.apply(first, negative_second, layer_names) + positive_bias = positive_field._measure( + [first[name] for name in layer_names])[1] + negative_bias = negative_field._measure( + [first[name] for name in layer_names])[1] + beta_independent_bias = all( + torch.equal(positive, negative) + for positive, negative in zip(positive_bias, negative_bias) + ) + assert beta_independent_bias print({ "oracle_parameter_gradient_relative_error": oracle_relative_error, "innovation_heldout_state_residual_rms": innovation_error, "constant_heldout_state_residual_rms": constant_error, "matched_neutral_observations": 64, "extra_equilibrium_phases": 0, + "first_state_bias_bitwise_independent_of_beta_sign": True, "requires_grad": False, }) |