Fix: use sampler instead of batch_sampler for non-custom
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@@ -259,7 +259,7 @@ def run():
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# shuffle=True,
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# shuffle=True,
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pin_memory=True,
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pin_memory=True,
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collate_fn=collate_fn,
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collate_fn=collate_fn,
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batch_sampler=train_sampler,
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sampler=train_sampler,
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batch_size=hps.train.batch_size,
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batch_size=hps.train.batch_size,
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persistent_workers=True,
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persistent_workers=True,
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# これもメモリ消費量を減らそうとしてコメントアウト
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# これもメモリ消費量を減らそうとしてコメントアウト
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@@ -260,12 +260,16 @@ def run():
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# shuffle=True,
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# shuffle=True,
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pin_memory=True,
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pin_memory=True,
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collate_fn=collate_fn,
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collate_fn=collate_fn,
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batch_sampler=train_sampler,
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sampler=train_sampler,
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batch_size=hps.train.batch_size,
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batch_size=hps.train.batch_size,
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persistent_workers=True,
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persistent_workers=True,
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# これもメモリ消費量を減らそうとしてコメントアウト
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# これもメモリ消費量を減らそうとしてコメントアウト
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# prefetch_factor=6,
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# prefetch_factor=6,
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)
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)
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logger.info("Using DistributedLengthGroupedSampler for training.")
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logger.debug(f"len(train_dataset): {len(train_dataset)}")
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logger.debug(f"len(train_loader): {len(train_loader)}")
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eval_dataset = None
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eval_dataset = None
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eval_loader = None
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eval_loader = None
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if rank == 0 and not args.speedup:
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if rank == 0 and not args.speedup:
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