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de15dc5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import torch
from torch.utils.data import DataLoader
from dataloaders.dataloader_msrvtt_retrieval import MSRVTT_DataLoader
from dataloaders.dataloader_msrvtt_retrieval import MSRVTT_TrainDataLoader
def simple_dataloader_msrvtt_train(args, tokenizer):
msrvtt_dataset = MSRVTT_TrainDataLoader(
csv_path=args.train_csv,
json_path=args.data_path,
features_path=args.features_path,
max_words=args.max_words,
feature_framerate=args.feature_framerate,
tokenizer=tokenizer,
max_frames=args.max_frames,
unfold_sentences=args.expand_msrvtt_sentences,
frame_order=args.train_frame_order,
slice_framepos=args.slice_framepos,
)
# Use regular DataLoader without DistributedSampler
dataloader = DataLoader(
msrvtt_dataset,
batch_size=args.batch_size,
num_workers=args.num_thread_reader,
pin_memory=False,
shuffle=True,
drop_last=True,
)
return dataloader, len(msrvtt_dataset), None
def simple_dataloader_msrvtt_test(args, tokenizer, subset="test"):
msrvtt_testset = MSRVTT_DataLoader(
csv_path=args.val_csv,
features_path=args.features_path,
max_words=args.max_words,
feature_framerate=args.feature_framerate,
tokenizer=tokenizer,
max_frames=args.max_frames,
frame_order=args.eval_frame_order,
slice_framepos=args.slice_framepos,
)
dataloader_msrvtt = DataLoader(
msrvtt_testset,
batch_size=args.batch_size_val,
num_workers=args.num_thread_reader,
pin_memory=False,
shuffle=False,
drop_last=False,
)
return dataloader_msrvtt, len(msrvtt_testset)
SIMPLE_DATALOADER_DICT = {}
SIMPLE_DATALOADER_DICT["msrvtt"] = {"train": simple_dataloader_msrvtt_train, "val": simple_dataloader_msrvtt_test, "test": None} |