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fix: fix seeding to avoid recreating seed combinations across multi runs

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This commit is contained in:
Deepak Mallubhotla 2024-05-19 22:10:40 -05:00
parent 8fbae32111
commit 24ac65bf9c
Signed by: deepak
GPG Key ID: BEBAEBF28083E022
1 changed files with 4 additions and 3 deletions
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7
deepdog/subset_simulation/subset_simulation_impl.py
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@ -476,7 +476,7 @@ class MultiSubsetSimulations:
def execute(self) -> Sequence[MultiSubsetSimulationResult]:
output: List[MultiSubsetSimulationResult] = []
for model_name_pair in self.model_name_pairs:
for model_index, model_name_pair in enumerate(self.model_name_pairs):
ss_results = [
SubsetSimulation(
model_name_pair,
@ -485,8 +485,9 @@ class MultiSubsetSimulations:
self.n_s,
self.m_max,
self.target_cost,
level_0_seed=[run_index, self.level_0_seed_seed],
mcmc_seed=[run_index, self.mcmc_seed_seed],
num_initial_dmc_gens=self.num_dmc_gens,
level_0_seed=[model_index, run_index, self.level_0_seed_seed],
mcmc_seed=[model_index, run_index, self.mcmc_seed_seed],
use_adaptive_steps=self.use_adaptive_steps,
default_phi_step=self.default_phi_step,
default_theta_step=self.default_theta_step,