MMSRL

Our Multimodal Semantic Role Labeling model for CONSTRAINT 2022
git clone https://esimon.eu/repos/MMSRL.git
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extract_image_features.sh (1464B)

      1 #!/bin/bash
      2 #
      3 #
      4 # Comments starting with #OAR are used by the resource manager if using "oarsub -S"
      5 #
      6 # The job is submitted to the default queue
      7 #OAR -q default
      8 #OAR -p gpu='YES'
      9 #OAR -l /gpunum=1,walltime=20:00:00 
     10 #OAR -t besteffort
     11 
     12 
     13 module purge
     14 module load conda
     15 source activate pytorch
     16 module load cuda/10.2
     17 module load gcc/7.3.0
     18 module load cudnn/7.6-cuda-10.2
     19 
     20 #python -m mmsrl.generate_captions
     21 python mmsrl/extract_features_vgg.py
     22 
     23 # PYTHONPATH=/data/almanach/user/smontari/scratch/constraint_challenge/mmf: python3 -u \
     24 #     /data/almanach/user/smontari/scratch/constraint_challenge/mmf/tools/scripts/features/frcnn/extract_features_frcnn.py \
     25 #   --model_file /data/almanach/user/smontari/scratch/constraint_challenge/Multimodal-semantic-role-labeling/mmfsrl/fcrnn/pytorch_model.bin \
     26 #   --config_file /data/almanach/user/smontari/scratch/constraint_challenge/Multimodal-semantic-role-labeling/mmfsrl/fcrnn/config.yaml \
     27 #   --output_folder "/data/almanach/user/smontari/scratch/constraint_challenge/mmsrl/all/features_frcnn/" \
     28 #     --image_dir "/data/almanach/user/smontari/scratch/constraint_challenge/mmsrl/all/images/" 
     29 
     30 # oarsub -p "gpu='YES' and host='nefgpu39.inria.fr'" -l /gpunum=1,walltime=20:00:00 -t besteffort ./oarscripts/extract_image_features.sh
     31 # oarsub -p "gpu='YES' and host='nefgpu47.inria.fr'" -l /gpunum=1,walltime=20:00:00 -t besteffort -S "./oarscripts/train_clip.sh mlp"
     32 # oarsub -S "./oarscripts/train_clip.sh attention"