for dependencies
This commit is contained in:
+7
-7
@@ -211,13 +211,13 @@ def run_batch(
|
||||
seed += 1
|
||||
print(f"Batch seed: {seed}")
|
||||
|
||||
if no_mp:
|
||||
dfs = []
|
||||
for i in range(nCores):
|
||||
dfs.append(_run_mini_batch_silent(gd, nevents[i], particleSpec, minEnergy_GeV, maxEnergy_GeV, seed, i))
|
||||
else:
|
||||
with multiprocessing.Pool(nCores) as pool:
|
||||
dfs = pool.starmap(_run_mini_batch_silent, [(gd, nevents[i], particleSpec, minEnergy_GeV, maxEnergy_GeV, seed, i) for i in range(nCores)])
|
||||
#if no_mp:
|
||||
# dfs = []
|
||||
# for i in range(nCores):
|
||||
# dfs.append(_run_mini_batch_silent(gd, nevents[i], particleSpec, minEnergy_GeV, maxEnergy_GeV, seed, i))
|
||||
#else:
|
||||
with multiprocessing.Pool(nCores) as pool:
|
||||
dfs = pool.starmap(_run_mini_batch_silent, [(gd, nevents[i], particleSpec, minEnergy_GeV, maxEnergy_GeV, seed, i) for i in range(nCores)])
|
||||
|
||||
alldf = pd.concat(dfs)
|
||||
alldf.reset_index(drop=True, inplace=True)
|
||||
|
||||
Reference in New Issue
Block a user