maybe fixes eval dataloader not shuffling under distributed

vall_e/data.py

@@ -321,17 +321,24 @@ def _seed_worker(worker_id):
 
 
 def _create_dataloader(dataset, training):
+	sampler = None
+	shuffle = True
+
+	if cfg.distributed and training:
+		sampler = DistributedSampler(dataset)
+		shuffle = False
+
 	return DataLoader(
 		dataset=dataset,
 		batch_size=cfg.hyperparameters.batch_size if training else cfg.evaluation.batch_size,
-		shuffle=False, # if cfg.distributed else True, # training
+		shuffle=shuffle,
 		drop_last=training,
 		num_workers=cfg.dataset.workers,
 		collate_fn=collate_fn,
 		persistent_workers=True,
 		pin_memory=False, # True,
 		worker_init_fn=_seed_worker,
-		sampler=DistributedSampler(dataset) if cfg.distributed else None # dataset.sampler
+		sampler=sampler,
 	)
 
 def _load_dataset_paths():