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pre-commit-ci[bot]
59 lines
1.8 KiB
Bash
59 lines
1.8 KiB
Bash
#!/bin/bash
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# storage / caches
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RAID=/raid/jade
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export TRANSFORMERS_CACHE=$RAID/.cache/huggingface/transformers
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export HF_HOME=$RAID/.cache/huggingface
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export HF_DATASETS_CACHE=$RAID/.cache/huggingface/datasets
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export HF_LEROBOT_HOME=$RAID/.cache/huggingface/lerobot
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export WANDB_CACHE_DIR=$RAID/.cache/wandb
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export TMPDIR=$RAID/.cache/tmp
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mkdir -p $TMPDIR
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export WANDB_MODE=offline
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export HF_DATASETS_OFFLINE=1
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export HF_HUB_OFFLINE=1
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export TOKENIZERS_PARALLELISM=false
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export MUJOCO_GL=egl
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export CUDA_VISIBLE_DEVICES=2
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# CONFIGURATION
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POLICY_PATH="/raid/jade/logs/lerobot/lerobot_2_HuggingFaceVLA_libero_smolvla_lr1e-4bs32steps100000/checkpoints/100000/pretrained_model"
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POLICY_PATH="/raid/jade/models/smolvlamust"
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TASK=libero_spatial,libero_object
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ENV_TYPE="libero"
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BATCH_SIZE=1
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N_EPISODES=1
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# storage / caches
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RAID=/raid/jade
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N_ACTION_STEPS=1
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export TRANSFORMERS_CACHE=$RAID/.cache/huggingface/transformers
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export HF_HOME=$RAID/.cache/huggingface
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export HF_DATASETS_CACHE=$RAID/.cache/huggingface/datasets
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export HF_LEROBOT_HOME=$RAID/.cache/huggingface/lerobot
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export WANDB_CACHE_DIR=$RAID/.cache/wandb
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export TMPDIR=$RAID/.cache/tmp
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mkdir -p $TMPDIR
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export WANDB_MODE=offline
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# export HF_DATASETS_OFFLINE=1
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# export HF_HUB_OFFLINE=1
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export TOKENIZERS_PARALLELISM=false
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export MUJOCO_GL=egl
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export MUJOCO_GL=egl
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unset HF_HUB_OFFLINE
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# RUN EVALUATION
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python src/lerobot/scripts/eval.py \
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--policy.path="$POLICY_PATH" \
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--env.type="$ENV_TYPE" \
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--eval.batch_size="$BATCH_SIZE" \
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--eval.n_episodes="$N_EPISODES" \
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--env.multitask_eval=True \
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--env.task=$TASK \
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# python examples/evaluate_libero.py \
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# --policy_path "$POLICY_PATH" \
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# --task_suite_name "$TASK" \
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# --num_steps_wait 10 \
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# --num_trials_per_task 10 \
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# --video_out_path "data/libero/videos" \
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# --device "cuda" \
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# --seed 7
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