[tab] /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/logs/logs_mihir/causal/dynamics-cotraining/train_dynamics_causal_8_node_3417223.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-4/3412401

env | grep SLURM

# export PYTHONUNBUFFERED=1

srun python train_dynamics.py \
    --save_ckpt \
    $restore_ckpt_flag \
    --wandb_id $SLURM_JOB_ID \
    --ckpt_dir $CHECKPOINT_DIR \
    --batch_size=224 \
    --num_latent_actions=100 \
    --init_lr=0 \
    --dyna_type=causal \
    --max_lr=8e-5 \
    --log_image_interval=1000 \
    --log \
    --log_checkpoint_interval=1000 \
    --name=dynamics-causal-8-node-$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/job3417223/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=1395197
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=hkn0536
SLURM_JOB_START_TIME=1755005881
SLURM_CLUSTER_NAME=hk
SLURM_JOB_END_TIME=1755178681
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=3417223
SLURM_JOB_QOS=normal
SLURM_PROCID=0
SLURM_CPUS_PER_TASK=5
SLURM_NTASKS=32
SLURM_TOPOLOGY_ADDR=hkibb.hkibbi1.hkibbi1e11.hkn0536
SLURM_TOPOLOGY_ADDR_PATTERN=switch.switch.switch.node
SLURM_SCRIPT_CONTEXT=prolog_task
SLURM_NODELIST=hkn[0536,0804-0806,0808,0813-0814,0821]
SLURM_JOB_ACCOUNT=hk-project-p0023960
SLURM_PRIO_PROCESS=0
SLURM_NPROCS=32
SLURM_NNODES=8
SLURM_SUBMIT_HOST=hkn1991.localdomain
SLURM_JOB_ID=3417223
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[0536,0804-0806,0808,0813-0814,0821]
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-20250812_153905-3417223
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run dynamics-causal-8-node-3417223
wandb: ⭐️ View project at https://wandb.ai/instant-uv/jafar
wandb: 🚀 View run at https://wandb.ai/instant-uv/jafar/runs/3417223
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ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/100000/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-4/3412401/060000/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-4/3412401/060000/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-4/3412401/080000/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-4/3412401/040000/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-4/3412401/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/080000/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-4/3412401/040000/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-4/3412401/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/040000/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-4/3412401/060000/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-4/3412401/080000/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-4/3412401/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/080000/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-4/3412401/120000/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-4/3412401/140000/metrics/metrics not found.
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-4/3412401/060000/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-4/3412401/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/120000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
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-4/3412401/040000/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-4/3412401/080000/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-4/3412401/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/120000/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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/020000/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-4/3412401/040000/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-4/3412401/100000/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-4/3412401/040000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/080000/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-4/3412401/040000/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-4/3412401/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/100000/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-4/3412401/100000/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-4/3412401/100000/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-4/3412401/100000/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-4/3412401/120000/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-4/3412401/120000/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-4/3412401/120000/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-4/3412401/120000/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-4/3412401/140000/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-4/3412401/140000/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-4/3412401/140000/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-4/3412401/100000/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-4/3412401/100000/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-4/3412401/100000/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-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/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-4/3412401/080000/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-4/3412401/080000/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-4/3412401/080000/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-4/3412401/080000/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-4/3412401/120000/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-4/3412401/120000/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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/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-4/3412401/120000/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-4/3412401/020000/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-4/3412401/120000/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-4/3412401/020000/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-4/3412401/120000/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-4/3412401/020000/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-4/3412401/020000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/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-4/3412401/120000/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-4/3412401/080000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/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-4/3412401/040000/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-4/3412401/040000/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-4/3412401/140000/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-4/3412401/140000/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-4/3412401/100000/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-4/3412401/060000/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-4/3412401/060000/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-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/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-4/3412401/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/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-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
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-4/3412401/140000/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-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/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-4/3412401/140000/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-4/3412401/100000/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-4/3412401/140000/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-4/3412401/100000/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-4/3412401/140000/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-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/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-4/3412401/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 146000
WARNING:absl:Missing metrics for step 146000
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/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-4/3412401/140000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/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-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/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-4/3412401/100000/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-4/3412401/100000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 100000
WARNING:absl:Missing metrics for step 120000
WARNING:absl:Missing metrics for step 80000
WARNING:absl:Missing metrics for step 147000
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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
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-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/080000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/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-4/3412401/060000/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-4/3412401/120000/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-4/3412401/120000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/120000/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-4/3412401/120000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 80000
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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
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-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 100000
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-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/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-4/3412401/060000/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-4/3412401/060000/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-4/3412401/060000/metrics/metrics not found.
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-4/3412401/020000/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-4/3412401/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/120000/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-4/3412401/040000/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-4/3412401/040000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/080000/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-4/3412401/120000/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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
WARNING:absl:Missing metrics for step 148000
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/080000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 140000
WARNING:absl:Missing metrics for step 140000
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-4/3412401/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/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-4/3412401/140000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
WARNING:absl:Missing metrics for step 147000
WARNING:absl:Missing metrics for step 147000
WARNING:absl:Missing metrics for step 147000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
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-4/3412401/060000/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-4/3412401/060000/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-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 147000
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-4/3412401/100000/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-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/100000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/147000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/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-4/3412401/100000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 148000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/148000/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-4/3412401/120000/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-4/3412401/080000/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-4/3412401/140000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 20000
WARNING:absl:Missing metrics for step 20000
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-4/3412401/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/040000/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-4/3412401/020000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/020000/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-4/3412401/020000/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-4/3412401/020000/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-4/3412401/100000/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-4/3412401/060000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 146000
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/146000/metrics/metrics not found.
WARNING:absl:Missing metrics for step 60000
WARNING:absl:Missing metrics for step 60000
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-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
ERROR:absl:File /hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer/train_tokenizer_1e-4/3412401/060000/metrics/metrics not found.
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/orbax/checkpoint/_src/serialization/type_handlers.py:1251: UserWarning: Sharding info not provided when restoring. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
  warnings.warn(
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
Running on 32 devices.
Counting all components: ['dynamics', 'lam', 'tokenizer']
Parameter counts:
{'dynamics': 271932416, 'lam': 35118240, 'tokenizer': 33750256, 'total': 340800912}
Starting training from step 0...
2025-08-12 15:41:13.044979: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-12 15:41:13.455301: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-12 15:41:13.634847: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-12 15:41:13.634892: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-12 15:41:16.559112: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-12 15:41:18.128388: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
2025-08-12 15:41:18.128438: W external/xla/xla/service/gpu/autotuning/dot_search_space.cc:200] All configs were filtered out because none of them sufficiently match the hints. Maybe the hints set does not contain a good representative set of valid configs?Working around this by using the full hints set instead.
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2025-08-12 16:36:26.782709: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.783368: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.784212: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.784727: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.784673: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.784884: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.785050: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.785850: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.785997: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.786580: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.786756: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.787508: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.787737: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.787691: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.787892: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.788235: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.788331: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.788296: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.788662: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.789328: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.789456: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.789834: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.789969: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.790006: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.790578: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.790736: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.791314: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.791505: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.791823: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.792667: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.792575: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.793101: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.792643: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.793047: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.793749: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
2025-08-12 16:36:26.794122: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.795793: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.796935: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.788845 2158442 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
E0812 16:36:26.791311 2158441 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.791884 3088580 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.793092 3088581 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.792043 1395270 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
2025-08-12 16:36:26.798861: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.793635 1395271 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
E0812 16:36:26.799414 3088578 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
2025-08-12 16:36:26.799789: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.799980: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
E0812 16:36:26.788270 2024119 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.790045  832148 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.789883  577779 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.793271 3540264 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
2025-08-12 16:36:26.800825: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.790517 2594506 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.790383  832147 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.793639  577781 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.790539 3540265 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.791154  832149 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.794337  577778 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.793252 3540266 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.797434 3540267 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
E0812 16:36:26.801406 2024120 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
2025-08-12 16:36:26.804740: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.805336 2024118 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
2025-08-12 16:36:26.805384: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
E0812 16:36:26.805931 2158444 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
2025-08-12 16:36:26.815275: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
2025-08-12 16:36:26.817860: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.820066: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
E0812 16:36:26.820626 2594507 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.822603: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.823127 3088579 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
2025-08-12 16:36:26.824685: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.829419: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.829993  577780 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
2025-08-12 16:36:26.832132: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_1_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.834488: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_2_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.836437: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.836859: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.837449 1395269 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.839401: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.839976 2158443 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
2025-08-12 16:36:26.841514: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
E0812 16:36:26.842207 2024121 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.858946: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.864120: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.864678 2594505 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
2025-08-12 16:36:26.892269: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_3_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:26.897181: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:26.897850 2594508 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
2025-08-12 16:36:27.407510: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
2025-08-12 16:36:27.412254: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:27.412829  832146 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 12, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
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Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
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Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
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Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
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Filtering out episode with length 4, which is shorter than the requested sequence length 16.
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Filtering out episode with length 2, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
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Filtering out episode with length 6, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
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Filtering out episode with length 9, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 11, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 3, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
2025-08-12 16:36:27.696422: W external/xla/xla/tsl/framework/bfc_allocator.cc:501] Allocator (GPU_0_bfc) ran out of memory trying to allocate 15.57GiB (rounded to 16713626112)requested by op 
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation. 
Current allocation summary follows.
Current allocation summary follows.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
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Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
2025-08-12 16:36:27.705524: W external/xla/xla/tsl/framework/bfc_allocator.cc:512] *************************************************___________________________________________________
E0812 16:36:27.706329 1395268 pjrt_stream_executor_client.cc:2916] Execution of replica 0 failed: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes. [tf-allocator-allocation-error='']
Step 961, loss: 4.987657070159912
Step 962, loss: 4.930735111236572
Step 963, loss: 4.966430187225342
Step 964, loss: 4.803027153015137
Step 965, loss: 4.777834892272949
Step 966, loss: 4.887391567230225
Step 967, loss: 4.981222629547119
Step 968, loss: 5.012173652648926
Step 969, loss: 4.8457159996032715
Step 970, loss: 4.931957721710205
Step 971, loss: 4.859827995300293
Step 972, loss: 4.838851451873779
Step 973, loss: 4.841620922088623
Step 974, loss: 4.903099536895752
Step 975, loss: 4.981812953948975
Step 976, loss: 4.933502197265625
Step 977, loss: 4.924559593200684
Step 978, loss: 5.054043769836426
Step 979, loss: 4.846375942230225
Step 980, loss: 4.9509453773498535
Step 981, loss: 4.974370956420898
Step 982, loss: 5.178408145904541
Step 983, loss: 5.122928619384766
Step 984, loss: 5.22432804107666
Step 985, loss: 5.205901622772217
Step 986, loss: 5.1126484870910645
Step 987, loss: 4.847543239593506
Step 988, loss: 4.892364025115967
Step 989, loss: 4.945364475250244
Step 990, loss: 4.9439520835876465
Step 991, loss: 5.064172744750977
Step 992, loss: 4.839568138122559
Step 993, loss: 4.95907735824585
Step 994, loss: 4.863922119140625
Step 995, loss: 4.94964075088501
Step 996, loss: 5.010640621185303
Step 997, loss: 4.978544235229492
Step 998, loss: 5.058013916015625
Step 999, loss: 4.973265647888184
Saved checkpoint at step 1000
Step 1000, loss: 4.755319118499756
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
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Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Traceback (most recent call last):
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/train_dynamics.py", line 367, in <module>
    loss, recon, metrics = train_step(optimizer.model, optimizer, inputs)
  File "/hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar/.venv/lib/python3.10/site-packages/flax/nnx/transforms/compilation.py", line 431, in __call__
    pure_args_out, pure_kwargs_out, pure_out = self.jitted_fn(
ValueError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 16713625944 bytes.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
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Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 14, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 2, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 6, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 5, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 11, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 10, which is shorter than the requested sequence length 16.
Filtering out episode with length 8, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 9, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 7, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 3, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 1, which is shorter than the requested sequence length 16.
Filtering out episode with length 15, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 12, which is shorter than the requested sequence length 16.
Filtering out episode with length 13, which is shorter than the requested sequence length 16.
Filtering out episode with length 4, which is shorter than the requested sequence length 16.
wandb: 
wandb: 🚀 View run dynamics-causal-8-node-3417223 at: https://wandb.ai/instant-uv/jafar/runs/3417223
wandb: Find logs at: ../../../../../hkfs/home/project/hk-project-p0023960/tum_cte0515/Projects/jafar_jobs/wandb/run-20250812_153905-3417223/logs
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 11 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
/home/hk-project-p0023960/tum_cte0515/.local/share/uv/python/cpython-3.10.18-linux-x86_64-gnu/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 10 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
srun: error: hkn0806: task 14: Exited with exit code 1
srun: error: hkn0808: task 17: Exited with exit code 1
srun: error: hkn0805: task 10: Exited with exit code 1
srun: error: hkn0821: tasks 28,30: Exited with exit code 1
srun: error: hkn0814: task 25: Exited with exit code 1
srun: error: hkn0536: tasks 1-3: Exited with exit code 1
srun: error: hkn0806: tasks 12-13: Exited with exit code 1
srun: error: hkn0805: tasks 8-9: Exited with exit code 1
srun: error: hkn0804: tasks 4-6: Exited with exit code 1
srun: error: hkn0813: tasks 20-22: Exited with exit code 1
srun: error: hkn0806: task 15: Exited with exit code 1
srun: error: hkn0808: tasks 16,18-19: Exited with exit code 1
srun: error: hkn0805: task 11: Exited with exit code 1
srun: error: hkn0804: task 7: Exited with exit code 1
srun: error: hkn0814: tasks 24,27: Exited with exit code 1
srun: error: hkn0821: task 31: Exited with exit code 1
srun: error: hkn0813: task 23: Exited with exit code 1
srun: error: hkn0814: task 26: Exited with exit code 1
srun: error: hkn0821: task 29: Exited with exit code 1
srun: error: hkn0536: task 0: Exited with exit code 1

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

Job ID: 3417223
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[0536,0804-0806,0808,0813-0814,0821]
CPU Utilized: 1-03:04:03
CPU Efficiency: 14.45% of 7-19:21:36 core-walltime
Job Wall-clock time: 00:58:33
Starttime: Tue Aug 12 15:38:01 2025
Endtime: Tue Aug 12 16:36:34 2025
Memory Utilized: 244.35 GB (estimated maximum)
Memory Efficiency: 0.00% of 0.00 MB (0.00 MB/node)
Energy Consumed: 37464258 Joule / 10406.7383333333 Watthours
Average node power draw: 10664.462852263 Watt