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sh slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch
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yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544
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[A\r(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$ queue[K\r\n\r[K[A[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C
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sh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544
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[A\r(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$ [C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[63Poverfit_sample/causal/dynamics_overfit_sample.sbatch\r\n\r[K[A[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C
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[7msh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/u[27m[7ms[27m[7mer/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544[27m
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[A[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[Csh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544\r\n[?2004l\r#!/usr/bin/env bash\r\n\r\n#SBATCH --nodes=1\r\n#SBATCH --ntasks-per-node=1\r\n#SBATCH --time=48:00:00\r\n#SBATCH --partition=accelerated\r\n#SBATCH --cpus-per-task=5\r\n#SBATCH --gres=gpu:1\r\n#SBATCH --output=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --error=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --job-name=train_dynamics_overfit_sample_causal_actionspace-1\r\n\r\n# Log the sbatch script\r\ncat $0\r\n\r\nmodule unload mpi/openmpi/5.0\r\nmodule unload devel/cuda/12.4\r\n# source .venv/bin/activate\r\n\r\narray_records_dir=.\r\n\r\njob_name=$SLURM_JOB_NAME\r\nslurm_job_id=$SLURM_JOB_ID\r\n\r\nCHECKPOINT_DIR=/storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/$job_name/$slurm_job_id\r\nmkdir -p $CHECKPOINT_DIR\r\n\r\n# tokenizer_ckpt_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer-lr-scaling/train_tokenizer_lr_sweep_1e-4\r\ntokenizer_ckpt_dir=/storage/user/mahajanm/Projects/world-modeling/checkpoints/tokenizer_ckpt\r\n\r\nenv | grep SLURM\r\n\r\nsrun python train_dynamics.py \\r\n --save_ckpt \\r\n --num_steps=2000 \\r\n --warmup_steps=0 \\r\n --wsd_decay_steps=0 \\r\n --ckpt_dir $CHECKPOINT_DIR \\r\n --batch_size=1 \\r\n --init_lr=1e-4 \\r\n --max_lr=1e-4 \\r\n --log_image_interval=1000 \\r\n --num_latent_actions=1 \\r\n --log \\r\n --log_checkpoint_interval=1000 \\r\n --name=dynamics-causal-overfit-actionspace-1-$slurm_job_id \\r\n --tags dynamics causal overfit \\r\n --entity instant-uv \\r\n --project jafar \\r\n --tokenizer_checkpoint=$tokenizer_ckpt_dir \\r\n --data_dir $array_records_dir \\r\n --dyna_dim=128 \\r\n --dyna_num_blocks=2 \\r\n --dyna_num_heads=4\r\n slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 16: module: not found\r\nslurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 17: module: not found\r\nSLURM_STEP_NODELIST=node17\r\nSLURM_JOB_USER=mahajanm\r\nSLURM_JOB_GPUS=0\r\nSLURM_JOBID=1393544\r\nSLURM_PTY_PORT=39621\r\nSLURM_JOB_QOS=stud\r\nSLURM_JOB_NUM_NODES=1\r\nSLURM_SRUN_COMM_PORT=42571\r\nSLURM_TASKS_PER_NODE=1\r\nSLURM_NTASKS_PER_NODE=1\r\nSLURM_TOPOLOGY_ADDR_PATTERN=node\r\nSLURM_PRIO_PROCESS=0\r\nSLURM_JOB_START_TIME=1753197754\r\nSLURM_JOB_CPUS_PER_NODE=5\r\nSLURM_JOB_NAME=interactive\r\nSLURM_JOB_GID=20909\r\nSLURM_CPUS_ON_NODE=5\r\nSLURM_PROCID=0\r\nSLURM_JOB_ACCOUNT=stud\r\nSLURM_SCRIPT_CONTEXT=prolog_task\r\nSLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf\r\nSLURM_STEP_LAUNCHER_PORT=42571\r\nSLURM_SUBMIT_HOST=atcremers51\r\nSLURM_MPI_TYPE=none\r\nSLURM_GPUS_ON_NODE=1\r\nSLURM_NODELIST=node17\r\nSLURM_NNODES=1\r\nSLURM_JOB_ID=1393544\r\nSLURMD_NODENAME=node17\r\nSLURM_OOM_KILL_STEP=0\r\nSLURM_JOB_NODELIST=node17\r\nSLURM_GTIDS=0\r\nSLURM_STEPID=4294967290\r\nSLURM_CPUS_PER_TASK=5\r\nSLURM_JOB_END_TIME=1753233754\r\nSLURM_STEP_NUM_NODES=1\r\nSLURM_TRES_PER_TASK=cpu=5\r\nSLURM_PTY_WIN_ROW=27\r\nSLURM_JOB_UID=7389\r\nSLURM_CLUSTER_NAME=inf9\r\nSLURM_STEP_TASKS_PER_NODE=1\r\nSLURM_LOCALID=0\r\nSLURM_JOB_PARTITION=NORMAL\r\nSLURM_LAUNCH_NODE_IPADDR=131.159.18.70\r\nSLURMD_DEBUG=2\r\nSLURM_TASK_PID=3978593\r\nSLURM_NTASKS=1\r\nSLURM_TOPOLOGY_ADDR=node17\r\nSLURM_NPROCS=1\r\nSLURM_STEP_NUM_TASKS=1\r\nSLURM_SRUN_COMM_HOST=131.159.18.70\r\nSLURM_SUBMIT_DIR=/usr/stud/mahajanm/Projects/jafar\r\nSLURM_PTY_WIN_COL=184\r\nSLURM_STEP_ID=4294967290\r\nSLURM_NODEID=0\r\n
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/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n
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2025-07-22 18:12:40.651862: 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.\r\n
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2025-07-22 18:12:50.505524: 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.\r\n
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Running on 1 devices.\r\nEntering jdb:\r\n
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^Csrun: interrupt (one more within 1 sec to abort)\r\nsrun: StepId=1393544.4 task 0: running\r\n
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^Csrun: sending Ctrl-C to StepId=1393544.4\r\nsrun: forcing job termination\r\nsrun: Job step aborted: Waiting up to 32 seconds for job step to finish.\r\nslurmstepd: error: *** STEP 1393544.4 ON node17 CANCELLED AT 2025-07-22T18:14:25 ***\r\n
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^Csrun: sending Ctrl-C to StepId=1393544.4\r\nsrun: job abort in progress\r\n(jdb)
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\r\n]0;mahajanm@node17: /usr/stud/mahajanm/Projects/jafar[?2004h(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$
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^C[?2004l\r[?2004h[?2004l\r\r\n]0;mahajanm@node17: /usr/stud/mahajanm/Projects/jafar[?2004h(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$
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sample.py
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sh slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch && sh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544
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[A\r[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[K\r\n\r[K[A[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C
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sh slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch && sh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544
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\r\n[?2004l\r#!/usr/bin/env bash\r\n\r\n#SBATCH --nodes=1\r\n#SBATCH --ntasks-per-node=1\r\n#SBATCH --time=48:00:00\r\n#SBATCH --partition=accelerated\r\n#SBATCH --cpus-per-task=5\r\n#SBATCH --gres=gpu:1\r\n#SBATCH --output=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --error=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --job-name=train_dynamics_overfit_sample_causal_actionspace-1\r\n\r\n# Log the sbatch script\r\ncat $0\r\n\r\nmodule unload mpi/openmpi/5.0\r\nmodule unload devel/cuda/12.4\r\n# source .venv/bin/activate\r\n\r\narray_records_dir=.\r\n\r\njob_name=$SLURM_JOB_NAME\r\nslurm_job_id=$SLURM_JOB_ID\r\n\r\nCHECKPOINT_DIR=/storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/$job_name/$slurm_job_id\r\nmkdir -p $CHECKPOINT_DIR\r\n\r\n# tokenizer_ckpt_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer-lr-scaling/train_tokenizer_lr_sweep_1e-4\r\ntokenizer_ckpt_dir=/storage/user/mahajanm/Projects/world-modeling/checkpoints/tokenizer_ckpt\r\n\r\nenv | grep SLURM\r\n\r\nsrun python train_dynamics.py \\r\n --save_ckpt \\r\n --num_steps=2000 \\r\n --warmup_steps=0 \\r\n --wsd_decay_steps=0 \\r\n --ckpt_dir $CHECKPOINT_DIR \\r\n --batch_size=1 \\r\n --init_lr=1e-4 \\r\n --max_lr=1e-4 \\r\n --log_image_interval=1000 \\r\n --num_latent_actions=1 \\r\n --log \\r\n --log_checkpoint_interval=1000 \\r\n --name=dynamics-causal-overfit-actionspace-1-$slurm_job_id \\r\n --tags dynamics causal overfit \\r\n --entity instant-uv \\r\n --project jafar \\r\n --tokenizer_checkpoint=$tokenizer_ckpt_dir \\r\n --data_dir $array_records_dir \\r\n --dyna_dim=128 \\r\n --dyna_num_blocks=2 \\r\n --dyna_num_heads=4\r\n slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 16: module: not found\r\nslurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 17: module: not found\r\nSLURM_STEP_NODELIST=node17\r\nSLURM_JOB_USER=mahajanm\r\nSLURM_JOB_GPUS=0\r\nSLURM_JOBID=1393544\r\nSLURM_PTY_PORT=39621\r\nSLURM_JOB_QOS=stud\r\nSLURM_JOB_NUM_NODES=1\r\nSLURM_SRUN_COMM_PORT=42571\r\nSLURM_TASKS_PER_NODE=1\r\nSLURM_NTASKS_PER_NODE=1\r\nSLURM_TOPOLOGY_ADDR_PATTERN=node\r\nSLURM_PRIO_PROCESS=0\r\nSLURM_JOB_START_TIME=1753197754\r\nSLURM_JOB_CPUS_PER_NODE=5\r\nSLURM_JOB_NAME=interactive\r\nSLURM_JOB_GID=20909\r\nSLURM_CPUS_ON_NODE=5\r\nSLURM_PROCID=0\r\nSLURM_JOB_ACCOUNT=stud\r\nSLURM_SCRIPT_CONTEXT=prolog_task\r\nSLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf\r\nSLURM_STEP_LAUNCHER_PORT=42571\r\nSLURM_SUBMIT_HOST=atcremers51\r\nSLURM_MPI_TYPE=none\r\nSLURM_GPUS_ON_NODE=1\r\nSLURM_NODELIST=node17\r\nSLURM_NNODES=1\r\nSLURM_JOB_ID=1393544\r\nSLURMD_NODENAME=node17\r\nSLURM_OOM_KILL_STEP=0\r\nSLURM_JOB_NODELIST=node17\r\nSLURM_GTIDS=0\r\nSLURM_STEPID=4294967290\r\nSLURM_CPUS_PER_TASK=5\r\nSLURM_JOB_END_TIME=1753233754\r\nSLURM_STEP_NUM_NODES=1\r\nSLURM_TRES_PER_TASK=cpu=5\r\nSLURM_PTY_WIN_ROW=27\r\nSLURM_JOB_UID=7389\r\nSLURM_CLUSTER_NAME=inf9\r\nSLURM_STEP_TASKS_PER_NODE=1\r\nSLURM_LOCALID=0\r\nSLURM_JOB_PARTITION=NORMAL\r\nSLURM_LAUNCH_NODE_IPADDR=131.159.18.70\r\nSLURMD_DEBUG=2\r\nSLURM_TASK_PID=3978593\r\nSLURM_NTASKS=1\r\nSLURM_TOPOLOGY_ADDR=node17\r\nSLURM_NPROCS=1\r\nSLURM_STEP_NUM_TASKS=1\r\nSLURM_SRUN_COMM_HOST=131.159.18.70\r\nSLURM_SUBMIT_DIR=/usr/stud/mahajanm/Projects/jafar\r\nSLURM_PTY_WIN_COL=184\r\nSLURM_STEP_ID=4294967290\r\nSLURM_NODEID=0\r\n
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/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n
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2025-07-22 18:17:17.138119: 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.\r\n
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2025-07-22 18:17:27.170897: 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.\r\n
| null |
terminal_output
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Running on 1 devices.\r\nEntering jdb:\r\n
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train_dynamics.py
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^Csrun: interrupt (one more within 1 sec to abort)\r\nsrun: StepId=1393544.5 task 0: running\r\n
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^Csrun: sending Ctrl-C to StepId=1393544.5\r\nsrun: forcing job termination\r\nsrun: Job step aborted: Waiting up to 32 seconds for job step to finish.\r\nslurmstepd: error: *** STEP 1393544.5 ON node17 CANCELLED AT 2025-07-22T18:17:55 ***\r\n
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\r\n]0;mahajanm@node17: /usr/stud/mahajanm/Projects/jafar[?2004h(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$
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^C[?2004l\r[?2004h[?2004l\r\r\n]0;mahajanm@node17: /usr/stud/mahajanm/Projects/jafar[?2004h(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$
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sh slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch && sh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544
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\r\n[?2004l\r#!/usr/bin/env bash\r\n\r\n#SBATCH --nodes=1\r\n#SBATCH --ntasks-per-node=1\r\n#SBATCH --time=48:00:00\r\n#SBATCH --partition=accelerated\r\n#SBATCH --cpus-per-task=5\r\n#SBATCH --gres=gpu:1\r\n#SBATCH --output=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --error=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --job-name=train_dynamics_overfit_sample_causal_actionspace-1\r\n\r\n# Log the sbatch script\r\ncat $0\r\n\r\nmodule unload mpi/openmpi/5.0\r\nmodule unload devel/cuda/12.4\r\n# source .venv/bin/activate\r\n\r\narray_records_dir=.\r\n\r\njob_name=$SLURM_JOB_NAME\r\nslurm_job_id=$SLURM_JOB_ID\r\n\r\nCHECKPOINT_DIR=/storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/$job_name/$slurm_job_id\r\nmkdir -p $CHECKPOINT_DIR\r\n\r\n# tokenizer_ckpt_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer-lr-scaling/train_tokenizer_lr_sweep_1e-4\r\ntokenizer_ckpt_dir=/storage/user/mahajanm/Projects/world-modeling/checkpoints/tokenizer_ckpt\r\n\r\nenv | grep SLURM\r\n\r\nsrun python train_dynamics.py \\r\n --save_ckpt \\r\n --num_steps=2000 \\r\n --warmup_steps=0 \\r\n --wsd_decay_steps=0 \\r\n --ckpt_dir $CHECKPOINT_DIR \\r\n --batch_size=1 \\r\n --init_lr=1e-4 \\r\n --max_lr=1e-4 \\r\n --log_image_interval=1000 \\r\n --num_latent_actions=1 \\r\n --log \\r\n --log_checkpoint_interval=1000 \\r\n --name=dynamics-causal-overfit-actionspace-1-$slurm_job_id \\r\n --tags dynamics causal overfit \\r\n --entity instant-uv \\r\n --project jafar \\r\n --tokenizer_checkpoint=$tokenizer_ckpt_dir \\r\n --data_dir $array_records_dir \\r\n --dyna_dim=128 \\r\n --dyna_num_blocks=2 \\r\n --dyna_num_heads=4\r\n slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 16: module: not found\r\nslurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 17: module: not found\r\nSLURM_STEP_NODELIST=node17\r\nSLURM_JOB_USER=mahajanm\r\nSLURM_JOB_GPUS=0\r\nSLURM_JOBID=1393544\r\nSLURM_PTY_PORT=39621\r\nSLURM_JOB_QOS=stud\r\nSLURM_JOB_NUM_NODES=1\r\nSLURM_SRUN_COMM_PORT=42571\r\nSLURM_TASKS_PER_NODE=1\r\nSLURM_NTASKS_PER_NODE=1\r\nSLURM_TOPOLOGY_ADDR_PATTERN=node\r\nSLURM_PRIO_PROCESS=0\r\nSLURM_JOB_START_TIME=1753197754\r\nSLURM_JOB_CPUS_PER_NODE=5\r\nSLURM_JOB_NAME=interactive\r\nSLURM_JOB_GID=20909\r\nSLURM_CPUS_ON_NODE=5\r\nSLURM_PROCID=0\r\nSLURM_JOB_ACCOUNT=stud\r\nSLURM_SCRIPT_CONTEXT=prolog_task\r\nSLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf\r\nSLURM_STEP_LAUNCHER_PORT=42571\r\nSLURM_SUBMIT_HOST=atcremers51\r\nSLURM_MPI_TYPE=none\r\nSLURM_GPUS_ON_NODE=1\r\nSLURM_NODELIST=node17\r\nSLURM_NNODES=1\r\nSLURM_JOB_ID=1393544\r\nSLURMD_NODENAME=node17\r\nSLURM_OOM_KILL_STEP=0\r\nSLURM_JOB_NODELIST=node17\r\nSLURM_GTIDS=0\r\nSLURM_STEPID=4294967290\r\nSLURM_CPUS_PER_TASK=5\r\nSLURM_JOB_END_TIME=1753233754\r\nSLURM_STEP_NUM_NODES=1\r\nSLURM_TRES_PER_TASK=cpu=5\r\nSLURM_PTY_WIN_ROW=27\r\nSLURM_JOB_UID=7389\r\nSLURM_CLUSTER_NAME=inf9\r\nSLURM_STEP_TASKS_PER_NODE=1\r\nSLURM_LOCALID=0\r\nSLURM_JOB_PARTITION=NORMAL\r\nSLURM_LAUNCH_NODE_IPADDR=131.159.18.70\r\nSLURMD_DEBUG=2\r\nSLURM_TASK_PID=3978593\r\nSLURM_NTASKS=1\r\nSLURM_TOPOLOGY_ADDR=node17\r\nSLURM_NPROCS=1\r\nSLURM_STEP_NUM_TASKS=1\r\nSLURM_SRUN_COMM_HOST=131.159.18.70\r\nSLURM_SUBMIT_DIR=/usr/stud/mahajanm/Projects/jafar\r\nSLURM_PTY_WIN_COL=184\r\nSLURM_STEP_ID=4294967290\r\nSLURM_NODEID=0\r\n
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/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n
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models/dynamics.py
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2025-07-22 18:18:01.316649: 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.\r\n
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2025-07-22 18:18:11.292032: 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.\r\n
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Running on 1 devices.\r\nEntering jdb:\r\n
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^Csrun: interrupt (one more within 1 sec to abort)\r\nsrun: StepId=1393544.6 task 0: running\r\n
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^Csrun: sending Ctrl-C to StepId=1393544.6\r\nsrun: forcing job termination\r\nsrun: Job step aborted: Waiting up to 32 seconds for job step to finish.\r\nslurmstepd: error: *** STEP 1393544.6 ON node17 CANCELLED AT 2025-07-22T18:18:44 ***\r\n
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^Csrun: sending Ctrl-C to StepId=1393544.6\r\nsrun: job abort in progress\r\n
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\r\n]0;mahajanm@node17: /usr/stud/mahajanm/Projects/jafar[?2004h(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$ ^C[?2004l\r[?2004h[?2004l\r\r\n]0;mahajanm@node17: /usr/stud/mahajanm/Projects/jafar[?2004h(jafar) ]0;mahajanm@node17: ~/Projects/jafar[01;32mmahajanm@node17[00m:[01;34m~/Projects/jafar[00m$
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sh slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch && sh slurm/jobs/mihir/horeka/yolo-runs/sampling.sh /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544
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\r\n[?2004l\r#!/usr/bin/env bash\r\n\r\n#SBATCH --nodes=1\r\n#SBATCH --ntasks-per-node=1\r\n#SBATCH --time=48:00:00\r\n#SBATCH --partition=accelerated\r\n#SBATCH --cpus-per-task=5\r\n#SBATCH --gres=gpu:1\r\n#SBATCH --output=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --error=/storage/slurm/mahajanm/yoloruns/%x_%j.log\r\n#SBATCH --job-name=train_dynamics_overfit_sample_causal_actionspace-1\r\n\r\n# Log the sbatch script\r\ncat $0\r\n\r\nmodule unload mpi/openmpi/5.0\r\nmodule unload devel/cuda/12.4\r\n# source .venv/bin/activate\r\n\r\narray_records_dir=.\r\n\r\njob_name=$SLURM_JOB_NAME\r\nslurm_job_id=$SLURM_JOB_ID\r\n\r\nCHECKPOINT_DIR=/storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/$job_name/$slurm_job_id\r\nmkdir -p $CHECKPOINT_DIR\r\n\r\n# tokenizer_ckpt_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/checkpoints/big-runs/tokenizer-lr-scaling/train_tokenizer_lr_sweep_1e-4\r\ntokenizer_ckpt_dir=/storage/user/mahajanm/Projects/world-modeling/checkpoints/tokenizer_ckpt\r\n\r\nenv | grep SLURM\r\n\r\nsrun python train_dynamics.py \\r\n --save_ckpt \\r\n --num_steps=2000 \\r\n --warmup_steps=0 \\r\n --wsd_decay_steps=0 \\r\n --ckpt_dir $CHECKPOINT_DIR \\r\n --batch_size=1 \\r\n --init_lr=1e-4 \\r\n --max_lr=1e-4 \\r\n --log_image_interval=1000 \\r\n --num_latent_actions=1 \\r\n --log \\r\n --log_checkpoint_interval=1000 \\r\n --name=dynamics-causal-overfit-actionspace-1-$slurm_job_id \\r\n --tags dynamics causal overfit \\r\n --entity instant-uv \\r\n --project jafar \\r\n --tokenizer_checkpoint=$tokenizer_ckpt_dir \\r\n --data_dir $array_records_dir \\r\n --dyna_dim=128 \\r\n --dyna_num_blocks=2 \\r\n --dyna_num_heads=4\r\n slurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 16: module: not found\r\nslurm/jobs/mihir/horeka/overfit_sample/causal/dynamics_overfit_sample.sbatch: 17: module: not found\r\nSLURM_STEP_NODELIST=node17\r\nSLURM_JOB_USER=mahajanm\r\nSLURM_JOB_GPUS=0\r\nSLURM_JOBID=1393544\r\nSLURM_PTY_PORT=39621\r\nSLURM_JOB_QOS=stud\r\nSLURM_JOB_NUM_NODES=1\r\nSLURM_SRUN_COMM_PORT=42571\r\nSLURM_TASKS_PER_NODE=1\r\nSLURM_NTASKS_PER_NODE=1\r\nSLURM_TOPOLOGY_ADDR_PATTERN=node\r\nSLURM_PRIO_PROCESS=0\r\nSLURM_JOB_START_TIME=1753197754\r\nSLURM_JOB_CPUS_PER_NODE=5\r\nSLURM_JOB_NAME=interactive\r\nSLURM_JOB_GID=20909\r\nSLURM_CPUS_ON_NODE=5\r\nSLURM_PROCID=0\r\nSLURM_JOB_ACCOUNT=stud\r\nSLURM_SCRIPT_CONTEXT=prolog_task\r\nSLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf\r\nSLURM_STEP_LAUNCHER_PORT=42571\r\nSLURM_SUBMIT_HOST=atcremers51\r\nSLURM_MPI_TYPE=none\r\nSLURM_GPUS_ON_NODE=1\r\nSLURM_NODELIST=node17\r\nSLURM_NNODES=1\r\nSLURM_JOB_ID=1393544\r\nSLURMD_NODENAME=node17\r\nSLURM_OOM_KILL_STEP=0\r\nSLURM_JOB_NODELIST=node17\r\nSLURM_GTIDS=0\r\nSLURM_STEPID=4294967290\r\nSLURM_CPUS_PER_TASK=5\r\nSLURM_JOB_END_TIME=1753233754\r\nSLURM_STEP_NUM_NODES=1\r\nSLURM_TRES_PER_TASK=cpu=5\r\nSLURM_PTY_WIN_ROW=27\r\nSLURM_JOB_UID=7389\r\nSLURM_CLUSTER_NAME=inf9\r\nSLURM_STEP_TASKS_PER_NODE=1\r\nSLURM_LOCALID=0\r\nSLURM_JOB_PARTITION=NORMAL\r\nSLURM_LAUNCH_NODE_IPADDR=131.159.18.70\r\nSLURMD_DEBUG=2\r\nSLURM_TASK_PID=3978593\r\nSLURM_NTASKS=1\r\nSLURM_TOPOLOGY_ADDR=node17\r\nSLURM_NPROCS=1\r\nSLURM_STEP_NUM_TASKS=1\r\nSLURM_SRUN_COMM_HOST=131.159.18.70\r\nSLURM_SUBMIT_DIR=/usr/stud/mahajanm/Projects/jafar\r\nSLURM_PTY_WIN_COL=184\r\nSLURM_STEP_ID=4294967290\r\nSLURM_NODEID=0\r\n
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/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n
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2025-07-22 18:19:12.041701: 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.\r\n
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2025-07-22 18:19:21.961951: 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.\r\n
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2025-07-22 18:19:41.439414: 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.\r\n
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wandb: Currently logged in as: mihir-mahajan2002 (instant-uv) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin\r\n
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wandb: Tracking run with wandb version 0.19.11\r\nwandb: Run data is saved locally in /usr/stud/mahajanm/Projects/jafar/wandb/run-20250722_181944-8r0fks74\r\nwandb: Run `wandb offline` to turn off syncing.\r\nwandb: Syncing run dynamics-causal-overfit-actionspace-1-1393544\r\nwandb: ⭐️ View project at https://wandb.ai/instant-uv/jafar\r\nwandb: 🚀 View run at https://wandb.ai/instant-uv/jafar/runs/8r0fks74\r\n
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WARNING:absl:Missing metrics for step 146000\r\nERROR:absl:File /storage/user/mahajanm/Projects/world-modeling/checkpoints/tokenizer_ckpt/146000/metrics/metrics not found.\r\n
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2025-07-22 18:20:05.170525: 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.\r\n2025-07-22 18:20:05.170945: 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.\r\n2025-07-22 18:20:05.172851: 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.\r\n2025-07-22 18:20:05.172877: 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.\r\n2025-07-22 18:20:05.173813: 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.\r\n
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Running on 1 devices.\r\nCounting all components: ['tokenizer', 'lam', 'dynamics']\r\nParameter counts:\r\n{'tokenizer': 37989616, 'lam': 19349312, 'dynamics': 583168, 'total': 57922096}\r\nStep 0, loss: 9.480460166931152\r\nStep 1, loss: 9.17424201965332\r\nStep 2, loss: 8.904892921447754\r\nStep 3, loss: 8.671215057373047\r\nStep 4, loss: 8.47729206085205\r\nStep 5, loss: 8.312150001525879\r\nStep 6, loss: 8.167618751525879\r\nStep 7, loss: 8.042706489562988\r\nStep 8, loss: 7.934808731079102\r\nStep 9, loss: 7.845317840576172\r\nStep 10, loss: 7.76653528213501\r\nStep 11, loss: 7.698042392730713\r\nStep 12, loss: 7.638092041015625\r\nStep 13, loss: 7.58504581451416\r\nStep 14, loss: 7.536530017852783\r\nStep 15, loss: 7.491424083709717\r\nStep 16, loss: 7.448380947113037\r\nStep 17, loss: 7.406976222991943\r\nStep 18, loss: 7.367974758148193\r\nStep 19, loss: 7.331673622131348\r\nStep 20, loss: 7.297691822052002\r\nStep 21, loss: 7.26692008972168\r\nStep 22, loss: 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212, loss: 5.13511848449707\r\nStep 213, loss: 5.126303195953369\r\nStep 214, loss: 5.117377281188965\r\nStep 215, loss: 5.108239650726318\r\nStep 216, loss: 5.099483013153076\r\nStep 217, loss: 5.090365409851074\r\nStep 218, loss: 5.0814409255981445\r\nStep 219, loss: 5.072748184204102\r\nStep 220, loss: 5.063522815704346\r\nStep 221, loss: 5.054193496704102\r\nStep 222, loss: 5.045683860778809\r\nStep 223, loss: 5.036563396453857\r\nStep 224, loss: 5.027276039123535\r\nStep 225, loss: 5.018744468688965\r\nStep 226, loss: 5.009485244750977\r\nStep 227, loss: 5.0005974769592285\r\nStep 228, loss: 4.991429328918457\r\nStep 229, loss: 4.982512950897217\r\nStep 230, loss: 4.973666667938232\r\nStep 231, loss: 4.964373588562012\r\nStep 232, loss: 4.955423831939697\r\nStep 233, loss: 4.946341514587402\r\nStep 234, loss: 4.937288761138916\r\nStep 235, loss: 4.928089618682861\r\nStep 236, loss: 4.918966293334961\r\nStep 237, loss: 4.909922122955322\r\n
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terminal_output
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661
| 2,066,019
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TERMINAL
| 0
| 0
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Step 238, loss: 4.900802135467529\r\nStep 239, loss: 4.891537666320801\r\nStep 240, loss: 4.882425308227539\r\nStep 241, loss: 4.8734660148620605\r\nStep 242, loss: 4.864076614379883\r\nStep 243, loss: 4.854644298553467\r\nStep 244, loss: 4.845699787139893\r\nStep 245, loss: 4.836607456207275\r\nStep 246, loss: 4.826932430267334\r\nStep 247, loss: 4.817652225494385\r\nStep 248, loss: 4.808806896209717\r\nStep 249, loss: 4.799525260925293\r\nStep 250, loss: 4.790092945098877\r\nStep 251, loss: 4.781068325042725\r\nStep 252, loss: 4.771703720092773\r\nStep 253, loss: 4.762415885925293\r\nStep 254, loss: 4.753512382507324\r\nStep 255, loss: 4.744155406951904\r\nStep 256, loss: 4.734983921051025\r\nStep 257, loss: 4.725468635559082\r\nStep 258, loss: 4.716409683227539\r\nStep 259, loss: 4.7068376541137695\r\nStep 260, loss: 4.697548866271973\r\nStep 261, loss: 4.688360691070557\r\nStep 262, loss: 4.67854118347168\r\nStep 263, loss: 4.6695637702941895\r\nStep 264, loss: 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| null |
terminal_output
|
662
| 2,087,523
|
TERMINAL
| 0
| 0
|
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| null |
terminal_output
|
663
| 2,108,217
|
TERMINAL
| 0
| 0
|
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| null |
terminal_output
|
664
| 2,131,932
|
TERMINAL
| 0
| 0
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| null |
terminal_output
|
665
| 2,151,515
|
TERMINAL
| 0
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| null |
terminal_output
|
666
| 2,170,752
|
TERMINAL
| 0
| 0
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| null |
terminal_output
|
667
| 2,189,925
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TERMINAL
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| null |
terminal_output
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668
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[1;34mwandb[0m: \r\n[1;34mwandb[0m: 🚀 View run [33mdynamics-causal-overfit-actionspace-1-1393544[0m at: [34mhttps://wandb.ai/instant-uv/jafar/runs/8r0fks74[0m\r\n[1;34mwandb[0m: Find logs at: [1;35mwandb/run-20250722_181944-8r0fks74/logs[0m\r\n
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\r\n# Log the sbatch script\r\ncat $0\r\n\r\nmodule unload mpi/openmpi/5.0\r\nmodule unload devel/cuda/12.4\r\n# source .venv/bin/activate\r\n\r\narray_records_dir=/hkfs/work/workspace/scratch/tum_ind3695-jafa_ws_shared/data_new/open_ai_minecraft_arrayrecords_chunked\r\n\r\njob_name=$SLURM_JOB_NAME\r\nslurm_job_id=$SLURM_JOB_ID\r\n\r\nCHECKPOINT_DIR=$ws_dir/checkpoints/$job_name/$slurm_job_id\r\nmkdir -p $CHECKPOINT_DIR\r\n\r\ntokenizer_ckpt_dir=/storage/user/mahajanm/Projects/world-modeling/checkpoints/tokenizer_ckpt\r\ndynamics_ckpt_dir=$1\r\necho $dynamics_ckpt_dir\r\n\r\nenv | grep SLURM\r\n\r\nsrun python sample.py \\r\n --checkpoint $dynamics_ckpt_dir \\r\n --dyna_dim=128 \\r\n --dyna_num_blocks=2 \\r\n --dyna_num_heads=4 \\r\n --seq_len=2 \\r\n --num_latent_actions=1 \\r\n --start_frame=0 \\r\n --data_dir $array_records_dir\r\n\r\n# srun python sample.py \\r\n # --checkpoint $dynamics_ckpt_dir \\r\n # --start_frame=0 \\r\n # --batch_size=12 \\r\n # --seq_len=2 \\r\n # --data_dir $array_records_dir\r\nslurm/jobs/mihir/horeka/yolo-runs/sampling.sh: 5: module: not found\r\nslurm/jobs/mihir/horeka/yolo-runs/sampling.sh: 6: module: not found\r\nmkdir: cannot create directory ‘/checkpoints’: Permission denied\r\n/storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544\r\nSLURM_STEP_NODELIST=node17\r\nSLURM_JOB_USER=mahajanm\r\nSLURM_JOB_GPUS=0\r\nSLURM_JOBID=1393544\r\nSLURM_PTY_PORT=39621\r\nSLURM_JOB_QOS=stud\r\nSLURM_JOB_NUM_NODES=1\r\nSLURM_SRUN_COMM_PORT=42571\r\nSLURM_TASKS_PER_NODE=1\r\nSLURM_NTASKS_PER_NODE=1\r\nSLURM_TOPOLOGY_ADDR_PATTERN=node\r\nSLURM_PRIO_PROCESS=0\r\nSLURM_JOB_START_TIME=1753197754\r\nSLURM_JOB_CPUS_PER_NODE=5\r\nSLURM_JOB_NAME=interactive\r\nSLURM_JOB_GID=20909\r\nSLURM_CPUS_ON_NODE=5\r\nSLURM_PROCID=0\r\nSLURM_JOB_ACCOUNT=stud\r\nSLURM_SCRIPT_CONTEXT=prolog_task\r\nSLURM_CONF=/var/spool/slurmd/conf-cache/slurm.conf\r\nSLURM_STEP_LAUNCHER_PORT=42571\r\nSLURM_SUBMIT_HOST=atcremers51\r\nSLURM_MPI_TYPE=none\r\nSLURM_GPUS_ON_NODE=1\r\nSLURM_NODELIST=node17\r\nSLURM_NNODES=1\r\nSLURM_JOB_ID=1393544\r\nSLURMD_NODENAME=node17\r\nSLURM_OOM_KILL_STEP=0\r\nSLURM_JOB_NODELIST=node17\r\nSLURM_GTIDS=0\r\nSLURM_STEPID=4294967290\r\nSLURM_CPUS_PER_TASK=5\r\nSLURM_JOB_END_TIME=1753233754\r\nSLURM_STEP_NUM_NODES=1\r\nSLURM_TRES_PER_TASK=cpu=5\r\nSLURM_PTY_WIN_ROW=27\r\nSLURM_JOB_UID=7389\r\nSLURM_CLUSTER_NAME=inf9\r\nSLURM_STEP_TASKS_PER_NODE=1\r\nSLURM_LOCALID=0\r\nSLURM_JOB_PARTITION=NORMAL\r\nSLURM_LAUNCH_NODE_IPADDR=131.159.18.70\r\nSLURMD_DEBUG=2\r\nSLURM_TASK_PID=3978593\r\nSLURM_NTASKS=1\r\nSLURM_TOPOLOGY_ADDR=node17\r\nSLURM_NPROCS=1\r\nSLURM_STEP_NUM_TASKS=1\r\nSLURM_SRUN_COMM_HOST=131.159.18.70\r\nSLURM_SUBMIT_DIR=/usr/stud/mahajanm/Projects/jafar\r\nSLURM_PTY_WIN_COL=184\r\nSLURM_STEP_ID=4294967290\r\nSLURM_NODEID=0\r\n
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/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `param-dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.float32'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n/usr/stud/mahajanm/Projects/jafar/.venv/lib/python3.10/site-packages/tyro/_parsers.py:347: UserWarning: The field `dtype` is annotated with type `<class 'numpy.dtype'>`, but the default value `<class 'jax.numpy.bfloat16'>` has type `<class 'jax._src.numpy.scalar_types._ScalarMeta'>`. We'll try to handle this gracefully, but it may cause unexpected behavior.\r\n warnings.warn(message)\r\n
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2025-07-22 18:24:05.595241: 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.\r\n
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2025-07-22 18:24:15.189720: 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.\r\n
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2025-07-22 18:24:22.399459: 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.\r\n
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2025-07-22 18:24:33.250334: 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.\r\n
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WARNING:absl:Missing metrics for step 2000\r\nERROR:absl:File /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544/002000/metrics/metrics not found.\r\nWARNING:absl:Missing metrics for step 1000\r\nERROR:absl:File /storage/user/mahajanm/Projects/world-modeling/checkpoints/causal/overfit-oai-sample-actionspace-1/interactive/1393544/001000/metrics/metrics not found.\r\n
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2025-07-22 18:24:43.906207: 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.\r\n
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2025-07-22 18:24:50.574897: 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.\r\n
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1\r\nSampling token 202 from frame 1\r\nSampling token 203 from frame 1\r\nSampling token 204 from frame 1\r\nSampling token 205 from frame 1\r\nSampling token 206 from frame 1\r\nSampling token 207 from frame 1\r\nSampling token 208 from frame 1\r\nSampling token 209 from frame 1\r\nSampling token 210 from frame 1\r\nSampling token 211 from frame 1\r\nSampling token 212 from frame 1\r\nSampling token 213 from frame 1\r\nSampling token 214 from frame 1\r\nSampling token 215 from frame 1\r\nSampling token 216 from frame 1\r\nSampling token 217 from frame 1\r\nSampling token 218 from frame 1\r\nSampling token 219 from frame 1\r\nSampling token 220 from frame 1\r\nSampling token 221 from frame 1\r\nSampling token 222 from frame 1\r\nSampling token 223 from frame 1\r\nSampling token 224 from frame 1\r\nSampling token 225 from frame 1\r\nSampling token 226 from frame 1\r\nSampling token 227 from frame 1\r\nSampling token 228 from frame 1\r\nSampling token 229 from frame 1\r\nSampling token 230 from frame 1\r\nSampling token 231 from frame 1\r\nSampling token 232 from frame 1\r\nSampling token 233 from frame 1\r\nSampling token 234 from frame 1\r\nSampling token 235 from frame 1\r\nSampling token 236 from frame 1\r\nSampling token 237 from frame 1\r\nSampling token 238 from frame 1\r\nSampling token 239 from frame 1\r\nSampling token 240 from frame 1\r\nSampling token 241 from frame 1\r\nSampling token 242 from frame 1\r\nSampling token 243 from frame 1\r\nSampling token 244 from frame 1\r\nSampling token 245 from frame 1\r\nSampling token 246 from frame 1\r\nSampling token 247 from frame 1\r\nSampling token 248 from frame 1\r\nSampling token 249 from frame 1\r\nSampling token 250 from frame 1\r\nSampling token 251 from frame 1\r\nSampling token 252 from frame 1\r\nSampling token 253 from frame 1\r\nSampling token 254 from frame 1\r\nSampling token 255 from frame 1\r\nSampling token 256 from frame 1\r\nSampling token 257 from frame 1\r\n
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terminal_output
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