[tab] /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/train_dynamics_causal_8_node_3412399.log (log)
#!/usr/bin/env bash

#SBATCH --nodes=8
#SBATCH --ntasks-per-node=4
#SBATCH --time=48:00:00
#SBATCH --partition=accelerated
#SBATCH --cpus-per-task=5
#SBATCH --gres=gpu:4
#SBATCH --output=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/%x_%j.log
#SBATCH --error=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/%x_%j.log
#SBATCH --job-name=train_dynamics_causal_8_node
#SBATCH --requeue
#SBATCH --signal=b:usr1@300 # 5 min before timeout

# --- signal trap to requeue job before timeout ---
requeue_job() {
    echo "[$(date)] caught sigusr1 (timeout warning), requeueing slurm job $SLURM_JOB_ID..."
    # optional: trigger checkpoint saving here
    # e.g., touch $checkpoint_dir/requeue_trigger
    scontrol requeue $SLURM_JOB_ID
    exit 0
}

trap requeue_job sigusr1

# set checkpoint flag based on restart count
restart_count=$(scontrol show job $SLURM_JOB_ID | grep -o 'Restarts=[0-9]*' | cut -d'=' -f2)

if [ $restart_count -eq 0 ]; then
    restore_ckpt_flag="--no-restore-ckpt"
else
    restore_ckpt_flag="--restore-ckpt"
fi



# Log the sbatch script
cat $0

module unload mpi/openmpi/5.0
module unload devel/cuda/12.4
source .venv/bin/activate

array_records_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_arrayrecords_chunked

job_name=$SLURM_JOB_NAME
slurm_job_id=$SLURM_JOB_ID

CHECKPOINT_DIR=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/mihir/holiday/causal/$job_name/$slurm_job_id
mkdir -p $CHECKPOINT_DIR

# tokenizer with the new structure supporting larger ffn_dim
tokenizer_ckpt_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607

env | grep SLURM

srun python train_dynamics.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=256 \
    --init_lr=0 \
    --dyna_type=causal \
    --max_lr=8e-5 \
    --log_image_interval=1000 \
    --log \
    --log_checkpoint_interval=1000 \
    --name=dynamics-causal-8-node-$slurm_job_id \
    --tags dynamics causal 8-node post-launch-main \
    --entity instant-uv \
    --project jafar \
    --dyna_dim=1024 \
    --dyna_num_blocks=16 \
    --dyna_num_heads=16 \
    --dyna_ffn_dim=4096 \
    --tokenizer_checkpoint=$tokenizer_ckpt_dir \
    --data_dir $array_records_dir &

child_pid=$!

wait $child_pid
/var/spool/slurmd/job3412399/slurm_script: line 42: .venv/bin/activate: No such file or directory
SLURM_JOB_USER=tum_cte0515
SLURM_TASKS_PER_NODE=4(x8)
SLURM_JOB_UID=999226
SLURM_TASK_PID=992577
SLURM_JOB_GPUS=0,1,2,3
SLURM_LOCALID=0
SLURM_SUBMIT_DIR=/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs
SLURMD_NODENAME=hkn0404
SLURM_JOB_START_TIME=1754833045
SLURM_CLUSTER_NAME=hk
SLURM_JOB_END_TIME=1755005845
SLURM_CPUS_ON_NODE=24
SLURM_JOB_CPUS_PER_NODE=24(x8)
SLURM_GPUS_ON_NODE=4
SLURM_GTIDS=0
SLURM_JOB_PARTITION=accelerated
SLURM_TRES_PER_TASK=cpu=5
SLURM_OOM_KILL_STEP=0
SLURM_JOB_NUM_NODES=8
SLURM_JOBID=3412399
SLURM_JOB_QOS=normal
SLURM_PROCID=0
SLURM_CPUS_PER_TASK=5
SLURM_NTASKS=32
SLURM_TOPOLOGY_ADDR=hkibb.hkibbi1.hkibbi1e11.hkn0404
SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.switch.node
SLURM_SCRIPT_CONTEXT=prolog_task
SLURM_NODELIST=hkn[0404,0521-0527]
SLURM_JOB_ACCOUNT=hk-project-p0023960
SLURM_PRIO_PROCESS=0
SLURM_NPROCS=32
SLURM_NNODES=8
SLURM_SUBMIT_HOST=hkn1990.localdomain
SLURM_JOB_ID=3412399
SLURM_NODEID=0
SLURM_CONF=/etc/slurm/slurm.conf
SLURM_JOB_NAME=train_dynamics_causal_8_node
SLURM_NTASKS_PER_NODE=4
SLURM_JOB_GID=502226
SLURM_JOB_NODELIST=hkn[0404,0521-0527]
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
GpuFreq=control_disabled
wandb: Currently logged in as: mihir-mahajan2002 (instant-uv) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.19.11
wandb: Run data is saved locally in /hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/wandb/run-20250810_153813-3412399
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run dynamics-causal-8-node-3412399
wandb: ⭐️ View project at https://wandb.ai/instant-uv/jafar
wandb: 🚀 View run at https://wandb.ai/instant-uv/jafar/runs/3412399
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 40000
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 40000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 120000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 100000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 141000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/141000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 142000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3404607/142000/metrics/metrics not found.
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35115232, 'tokenizer': 33750256, 'total': 340797904}
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    raise ValueError(
    raise ValueError(
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 347, in <module>
    optimizer = restore_genie_components(optimizer, replicated_sharding, rng, args)
    raise ValueError(
    raise ValueError(
    raise ValueError(
    raise ValueError(
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5    raise ValueError(
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5    raise ValueError(
    raise ValueError(
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
    raise ValueError(
    raise ValueError(
    raise ValueError(
    raise ValueError(
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/genie.py", line 473, in restore_genie_components
    restored_tokenizer = tokenizer_checkpoint_manager.restore(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/checkpoint_manager.py", line 1608, in restore
    restored = self._checkpointer.restore(restore_directory, args=args)
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
    raise ValueError(
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5    raise ValueError(
    raise ValueError(
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5    raise ValueError(
    raise ValueError(
    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,    raise ValueError(
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/async_checkpointer.py", line 558, in restore
    return super().restore(directory, *args, **kwargs)
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,    raise ValueError(
    raise ValueError(
    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,    raise ValueError(
    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,    raise ValueError(
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 300, in restore
    restored = self._restore(directory, args=ckpt_args)
    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/checkpointers/checkpointer.py", line 319, in _restore
    return self._handler.restore(directory, args=args)
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/composite_checkpoint_handler.py", line 837, in restore
    restored[item_name] = handler.restore(
 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/pytree_checkpoint_handler.py", line 796, in restore
    return self._handler_impl.restore(directory, args=args)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/handlers/base_pytree_checkpoint_handler.py", line 737, in restore
    raise ValueError(
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
    raise ValueError(
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False,ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5 write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
    raise ValueError(
ValueError: User-provided restore item and on-disk value metadata tree structures do not match: {'model': {'decoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}, 'encoder': {'blocks': {'0': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '1': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '2': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}, '3': {'spatial_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}}), 'temporal_pos_enc': Diff(lhs=None, rhs={'pe': {'value': ValueMetadataEntry(value_type='jax.Array', skip_deserialize=False, write_shape=(5000, 16))}})}}, 'pos_enc': Diff(lhs={'pe': {'value': ShapeDtypeStruct(shape=(5000, 512), dtype=float32, sharding=NamedSharding(mesh=Mesh('data': 32, axis_types=(Auto,)), spec=PartitionSpec(), memory_kind=device))}}, rhs=None)}}}
wandb: 
wandb: 🚀 View run dynamics-causal-8-node-3412399 at: https://wandb.ai/instant-uv/jafar/runs/3412399
wandb: Find logs at: ../../../../../hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/wandb/run-20250810_153813-3412399/logs
srun: error: hkn0527: task 29: Exited with exit code 1
srun: error: hkn0521: task 5: Exited with exit code 1
srun: error: hkn0404: task 1: Exited with exit code 1
srun: error: hkn0527: task 30: Exited with exit code 1
srun: error: hkn0521: task 6: Exited with exit code 1
srun: error: hkn0522: task 10: Exited with exit code 1
srun: error: hkn0523: task 13: Exited with exit code 1
srun: error: hkn0525: task 22: Exited with exit code 1
srun: error: hkn0527: task 28: Exited with exit code 1
srun: error: hkn0524: tasks 16-18: Exited with exit code 1
srun: error: hkn0521: task 4: Exited with exit code 1
srun: error: hkn0526: tasks 24-26: Exited with exit code 1
srun: error: hkn0526: task 27: Exited with exit code 1
srun: error: hkn0522: tasks 8,11: Exited with exit code 1
srun: error: hkn0524: task 19: Exited with exit code 1
srun: error: hkn0404: tasks 2-3: Exited with exit code 1
srun: error: hkn0522: task 9: Exited with exit code 1
srun: error: hkn0404: task 0: Exited with exit code 1
srun: error: hkn0525: tasks 20,23: Exited with exit code 1
srun: error: hkn0525: task 21: Exited with exit code 1
srun: error: hkn0523: tasks 14-15: Exited with exit code 1
srun: error: hkn0523: task 12: Exited with exit code 1
srun: error: hkn0521: task 7: Exited with exit code 1
srun: error: hkn0527: task 31: Exited with exit code 1

============================= JOB FEEDBACK =============================

Job ID: 3412399
Cluster: hk
User/Group: tum_cte0515/hk-project-p0023960
Account: hk-project-p0023960
State: FAILED (exit code 1)
Partition: accelerated
Nodes: 8
Cores per node: 24
Nodelist: hkn[0404,0521-0527]
CPU Utilized: 00:24:31
CPU Efficiency: 5.72% of 07:08:48 core-walltime
Job Wall-clock time: 00:02:14
Starttime: Sun Aug 10 15:37:25 2025
Endtime: Sun Aug 10 15:39:39 2025
Memory Utilized: 46.44 GB (estimated maximum)
Memory Efficiency: 0.00% of 0.00 MB (0.00 MB/node)
Energy Consumed: 974251 Joule / 270.625277777778 Watthours
Average node power draw: 7270.52985074627 Watt