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execute.sh
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sbatch slurm/run.sbatch python libero/lifelong/skill_policy_eval.py \
pretrain_model_path="/storage/home/hcoda1/0/amete7/p-agarg35-0/diff-skill/LIBERO/experiments_clip/LIBERO_90/Multitask/SkillGPT_Model/ResnetEncoder/m4_32_f4_k3s1_tt_n6d384/run_001/multitask_model_ep100.pth" \
exp_name="eval_m4_32_f4_k3s1_tt_n6d384" \
data.seq_len=32 \
policy.skill_block_size=32 \
policy.kernel_sizes=[5,3,3] \
policy.strides=[1,1,1] \
policy.prior.block_size=32 \
policy.prior.n_layer=6 \
policy.prior.n_head=6 \
policy.prior.n_embd=384
sbatch slurm/run.sbatch python libero/lifelong/skill_policy_eval.py \
pretrain_model_path="/storage/home/hcoda1/0/amete7/p-agarg35-0/diff-skill/LIBERO/experiments_clip/LIBERO_90/Multitask/SkillGPT_Model/ResnetEncoder/m4_32_f4_k3s2_tt_n6d384/run_001/multitask_model_ep100.pth" \
exp_name="eval_m4_32_f4_k3s2_tt_n6d384" \
data.seq_len=32 \
policy.skill_block_size=32 \
policy.kernel_sizes=[5,3,3] \
policy.strides=[2,1,1] \
policy.prior.block_size=16 \
policy.prior.n_layer=6 \
policy.prior.n_head=6 \
policy.prior.n_embd=384
sbatch slurm/run.sbatch python libero/lifelong/skill_policy_eval.py \
pretrain_model_path="/storage/home/hcoda1/0/amete7/p-agarg35-0/diff-skill/LIBERO/experiments_clip/LIBERO_90/Multitask/SkillGPT_Model/ResnetEncoder/m4_32_f4_k4s8_tt_n6d384/run_001/multitask_model_ep100.pth" \
exp_name="eval_m4_32_f4_k4s8_tt_n6d384" \
data.seq_len=32 \
policy.skill_block_size=32 \
policy.kernel_sizes=[5,3,3,3] \
policy.strides=[2,2,2,1] \
policy.prior.block_size=4 \
policy.prior.n_layer=6 \
policy.prior.n_head=6 \
policy.prior.n_embd=384
sbatch slurm/run.sbatch python libero/lifelong/skill_policy_eval.py \
pretrain_model_path="/storage/home/hcoda1/0/amete7/p-agarg35-0/diff-skill/LIBERO/experiments_clip/LIBERO_90/Multitask/SkillGPT_Model/ResnetEncoder/m4_64_f4_k3s4_tt_n6d384/run_001/multitask_model_ep100.pth" \
exp_name="eval_m4_64_f4_k3s4_tt_n6d384" \
data.seq_len=64 \
policy.skill_block_size=64 \
policy.kernel_sizes=[5,3,3] \
policy.strides=[2,2,1] \
policy.prior.block_size=16 \
policy.prior.n_layer=6 \
policy.prior.n_head=6 \
policy.prior.n_embd=384
sbatch slurm/run.sbatch python libero/lifelong/skill_policy_eval.py \
pretrain_model_path="/storage/home/hcoda1/0/amete7/p-agarg35-0/diff-skill/LIBERO/experiments_clip/LIBERO_90/Multitask/SkillGPT_Model/ResnetEncoder/m4_64_f4_k4s8_tt_n6d384/run_001/multitask_model_ep100.pth" \
exp_name="eval_m4_64_f4_k4s8_tt_n6d384" \
data.seq_len=64 \
policy.skill_block_size=64 \
policy.kernel_sizes=[5,3,3,3] \
policy.strides=[2,2,2,1] \
policy.prior.block_size=8 \
policy.prior.n_layer=6 \
policy.prior.n_head=6 \
policy.prior.n_embd=384
sbatch slurm/run.sbatch python libero/lifelong/skill_policy_eval.py \
pretrain_model_path="/storage/home/hcoda1/0/amete7/p-agarg35-0/diff-skill/LIBERO/experiments_clip/LIBERO_90/Multitask/SkillGPT_Model/ResnetEncoder/m4_64_f4_k6s8_tt_n6d384/run_001/multitask_model_ep100.pth" \
exp_name="eval_m4_64_f4_k6s8_tt_n6d384" \
data.seq_len=64 \
policy.skill_block_size=64 \
policy.kernel_sizes=[5,3,3,3,3,3] \
policy.strides=[2,1,2,1,2,1] \
policy.prior.block_size=8 \
policy.prior.n_layer=6 \
policy.prior.n_head=6 \
policy.prior.n_embd=384