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Add random-number-setting function in dataloader
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@ -22,6 +22,8 @@ import logging
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from functools import lru_cache
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from pathlib import Path
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from typing import Any, Dict, Optional
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import torch
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import lhotse
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from lhotse import CutSet, Fbank, FbankConfig, load_manifest
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from lhotse.dataset import (
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@ -301,12 +303,19 @@ class LibriSpeechAsrDataModule:
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logging.info("Loading sampler state dict")
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train_sampler.load_state_dict(sampler_state_dict)
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# 'seed' is derived from the current random state, which will have previously been
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# set in the main process.
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seed = torch.randint(0, 100000, ()).item()
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def worker_init_fn(worker_id: int):
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lhotse.utils.fix_random_seed(seed + worker_id)
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train_dl = DataLoader(
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train,
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sampler=train_sampler,
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batch_size=None,
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num_workers=self.args.num_workers,
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persistent_workers=False,
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worker_init_fn=worker_init_fn,
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)
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return train_dl
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