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[fix,refactor] ImageNet HF support and fixes #30

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[fix,refactor] ImageNet HF support and fixes #30

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8 changes: 5 additions & 3 deletions examples/flava/callbacks/multimodal_eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@

import torch
from data import default_text_transform, VL_MAX_LENGTH_DEFAULT
from imagenet_zeroshot_data import imagenet_classnames, openai_imagenet_template
from data.imagenet_zeroshot_data import imagenet_classnames, openai_imagenet_template
from pytorch_lightning import Callback, LightningDataModule
from pytorch_lightning.utilities import rank_zero_only
from tqdm import tqdm
Expand Down Expand Up @@ -50,8 +50,10 @@ def run_imagenet_zero_shot(model, dataloader, device, text_transform, *args, **k
classifier = _zero_shot_classifier(model, device, text_transform)
logger.info("Classifier built")
top1, top5, n = 0.0, 0.0, 0.0
for images, target in tqdm(dataloader):
images = images["image"].to(device)
for sample in tqdm(dataloader):
images = sample["image"]
target = sample["label"]
images = images.to(device)
target = target.to(device)

# predict
Expand Down
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