How to load a pretrained model in "https://github.com/facebookresearch/grid-feats-vqa"

[ifmaq1]

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I want to load a pretrained model X-152++ and calculate its grid-features. I put the pretrained model X-152pp.pth in xyz directory. How should I load it to calculate its features as I am not loading model from output directory.

How do I need to change this command line
python extract_grid_feature.py -config-file configs/X-152-grid.yaml --dataset

Also, when I write
CUDA_VISIBLE_DEVICES=0 python3.6 extract_grid_feature.py --config-file configs/X-152-grid.yaml --dataset coco_2015_test OUTPUT_DIR xyz

it downloads

[03/20 20:14:59 d2.checkpoint.catalog]: Catalog entry catalog://ImageNetPretrained/FAIR/X-152-32x8d-IN5k points to https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl

and later loads the model like this and starts calculating features for the dataset

[03/20 20:01:31 detectron2]: Full config saved to xyz/config.yaml
[03/20 20:01:31 d2.utils.env]: Using a generated random seed 31780998
[03/20 20:01:36 fvcore.common.checkpoint]: Loading checkpoint from catalog://ImageNetPretrained/FAIR/X-152-32x8d-IN5k
[03/20 20:01:36 d2.checkpoint.catalog]: Catalog entry catalog://ImageNetPretrained/FAIR/X-152-32x8d-IN5k points to https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl
[03/20 20:01:36 fvcore.common.file_io]: URL https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl cached in /home/ifrahmaqsood/.torch/fvcore_cache/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl

It doesn't take the model that is saved under xyz folder

could you help me, how can I overcome this problem