unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=view_1 && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=view_1 pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_view_1_123_reeval seed=123 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=view_1 && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=view_1 pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_view_1_124_reeval seed=124 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=view_1 && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=view_1 pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_view_1_125_reeval seed=125 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=view_4 && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=view_4 pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_view_4_123_reeval seed=123 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=view_4 && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=view_4 pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_view_4_124_reeval seed=124 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=view_4 && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=view_4 pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_view_4_125_reeval seed=125 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=top && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=top pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_top_123_reeval seed=123 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=top && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=top pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_top_124_reeval seed=124 num_cpu=25;

unset USE_TIMESTEPS; export USE_TIMESTEPS=1; unset ONLY_EVAL; unset LOW_RANDOMIZATION; unset BASELINE && export BASELINE=vip && unset EMBEDDING_DIM && export EMBEDDING_DIM=1024 && unset CHECKPOINT_PATH && export NO_EVAL=0 && export PYTHONNOUSERSITE=1 && module load eth_proxy && cd /cluster/ && source ~/anaconda3/bin/activate && conda activate /cluster/project/cvg/students/agavryushin/conda_envs/mujoco_meta_new && export MUJOCO_PY_MUJOCO_PATH=/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3 && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cluster/project/cvg/students/shgoel/.mujoco/mujoco-3.2.3/bin && cd /cluster/project/cvg/students/shgoel/frankakitchen_tests/r3m/evaluation/r3meval/core/ && export CONFIG_PATH=/cluster/project/cvg/students/shgoel/dexterous-manipulation-encoder/config_files/config_ego4d_mlpdec_euler_vip.yaml && export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia && export CAMERA_NAME=top && python hydra_launcher.py hydra/launcher=local hydra/output=local env=door-v1 camera=top pixel_based=true embedding=vision_encoder num_demos=25 bc_kwargs.finetune=false proprio=30 job_name=vip-timestamps_door_top_125_reeval seed=125 num_cpu=25;