wassname/optuna-dashboard
1
0
Fork 0
mirror of https://github.com/wassname/optuna-dashboard.git synced 2026-09-09 11:28:14 +08:00
Code Issues Packages Projects Releases Wiki Activity

Add dtype to randint

Browse Source
This commit is contained in:
hrntsm
2023-11-26 17:43:05 +09:00
parent cacae81fd3
commit bf7c930aed
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
optuna_dashboard/preferential/samplers/gp.py
+2 -2
View File
@@ -317,7 +317,7 @@ class PreferentialGPSampler(optuna.samplers.BaseSampler):
self._rng = np.random.RandomState(seed)
self.independent_sampler = independent_sampler or optuna.samplers.RandomSampler(
seed=self._rng.randint(2**32)
seed=self._rng.randint(2**32, dtype=np.int64)
)
self._search_space = optuna.search_space.IntersectionSearchSpace()
@@ -355,7 +355,7 @@ class PreferentialGPSampler(optuna.samplers.BaseSampler):
)
pref_ids = torch.tensor([[ids[b], ids[w]] for b, w in preferences], dtype=torch.int32)
with torch.random.fork_rng():
torch.manual_seed(self._rng.randint(2**32))
torch.manual_seed(self._rng.randint(2**32, dtype=np.int64))
self._gp = self._gp or _PreferentialGP(
kernel=self.kernel