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fix multi-process dataloader with same random seeds during epochs #1113

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Jul 9, 2021
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fix multi-process dataloader with same random seeds during epochs #1113

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4 changes: 2 additions & 2 deletions paddleseg/utils/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,10 +14,10 @@

import contextlib
import filelock
import math
import os
import tempfile
import numpy as np
import random
from urllib.parse import urlparse, unquote

import paddle
Expand Down Expand Up @@ -122,4 +122,4 @@ def resume(model, optimizer, resume_model):


def worker_init_fn(worker_id):
np.random.seed(np.random.get_state()[1][0] + worker_id)
np.random.seed(random.randint(0, 100000))