XPK Start: Fri Apr 24 12:07:35 UTC 2026
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
`rope_scaling`'s factor field must be a float >= 1, got 40
`rope_scaling`'s beta_fast field must be a float, got 32
`rope_scaling`'s beta_slow field must be a float, got 1
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
2026-04-24 12:08:04.165333: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)
I0424 12:08:04.411194 134645151012672 max_utils.py:273] Attempting to initialize the jax distributed system...
INFO:2026-04-24 12:08:13,452:jax._src.distributed:149: Starting JAX distributed service on [::]:8482
I0424 12:08:13.452770 134645151012672 distributed.py:149] Starting JAX distributed service on [::]:8482
INFO:2026-04-24 12:08:13,455:jax._src.distributed:166: Connecting to JAX distributed service on mt-01-sft-smoke-3abzd-slice-job-0-0.mt-01-sft-smoke-3abzd:8482
I0424 12:08:13.455368 134645151012672 distributed.py:166] Connecting to JAX distributed service on mt-01-sft-smoke-3abzd-slice-job-0-0.mt-01-sft-smoke-3abzd:8482
I0424 12:08:14.573010 134645151012672 max_utils.py:284] Jax distributed system initialized!
I0424 12:08:21.115375 134645151012672 max_utils.py:800] System Information: Jax Version: 0.8.3
I0424 12:08:21.115482 134645151012672 max_utils.py:801] System Information: Jaxlib Version: 0.8.3
I0424 12:08:21.115526 134645151012672 max_utils.py:802] System Information: Jax Backend: PJRT C API
TFRT TPU v6 lite
Built on Dec 15 2025 14:03:46 (1765836226) cl/844590465
I0424 12:08:21.118988 134645151012672 maxtext_utils.py:1771] Num_devices: 32, shape (1, 4, 1, 8, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0424 12:08:21.308490 134645151012672 maxtext_utils.py:1771] Num_devices: 32, shape (1, 4, 1, 8, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0424 12:08:22.505997 134645151012672 config.py:112] TensorFlow version 2.20.0 available.
I0424 12:08:22.506505 134645151012672 config.py:125] JAX version 0.8.3 available.
/deps/src/maxtext/input_pipeline/input_pipeline_utils.py:467: UserWarning: WARNING: Inefficient dataloading. Your train or eval dataset contains 3 shards, smaller than number of host loading data. This is known to lead to inefficient dataloading. Seegithub.com/google/maxtext/blob/main/getting_started/Data_Input_Pipeline.md#multihost-dataloading-best-practice
warnings.warn(
E0424 12:08:27.978212 134645151012672 packing.py:209] PackAndBatchOperation is deprecated. Please use lazy_dataset.FirstFitPackIterDataset instead.
I0424 12:08:27.978440 134645151012672 data_loader.py:408] Adding CopyNumPyArrayToSharedMemory MapTransform.
I0424 12:08:28.363730 134645151012672 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0424 12:08:28.364178 134645151012672 base_pytree_checkpoint_handler.py:411] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7a74ce952ed0>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0424 12:08:28.364226 134645151012672 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0424 12:08:28.364269 134645151012672 base_pytree_checkpoint_handler.py:411] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7a74ce952ed0>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0424 12:08:28.364315 134645151012672 checkpoint_manager.py:702] [process=4][thread=MainThread] CheckpointManager init: checkpointers=None, item_names=None, item_handlers={'model_params': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1fa0>, 'optimizer_state': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1160>, 'custom_metadata': <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a0b90>}, handler_registry=None
I0424 12:08:28.364528 134645151012672 composite_checkpoint_handler.py:237] Deferred registration for item: "model_params". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1fa0>` for item "model_params" and save args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>` to `_handler_registry`.
I0424 12:08:28.364573 134645151012672 composite_checkpoint_handler.py:237] Deferred registration for item: "optimizer_state". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1160>` for item "optimizer_state" and save args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>` to `_handler_registry`.
I0424 12:08:28.364603 134645151012672 composite_checkpoint_handler.py:237] Deferred registration for item: "custom_metadata". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a0b90>` for item "custom_metadata" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0424 12:08:28.364629 134645151012672 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a1fd0>` for item "metrics" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0424 12:08:28.364657 134645151012672 composite_checkpoint_handler.py:505] Initialized registry DefaultCheckpointHandlerRegistry({('model_params', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1fa0>, ('model_params', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1fa0>, ('optimizer_state', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1160>, ('optimizer_state', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a57580a1160>, ('custom_metadata', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a0b90>, ('custom_metadata', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a0b90>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a1fd0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a57580a1fd0>}).
I0424 12:08:28.364917 134645151012672 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.28
I0424 12:08:28.364969 134645151012672 async_checkpointer.py:177] [process=4][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7a577812b060> timeout: 600 secs and primary_host=0 for async checkpoint writes
I0424 12:08:31.220307 134645151012672 checkpoint_manager.py:1788] Found 0 checkpoint steps in gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints
I0424 12:08:31.241176 134645151012672 checkpoint_manager.py:921] [process=4][thread=MainThread] CheckpointManager created, primary_host=0, CheckpointManagerOptions=CheckpointManagerOptions(save_interval_steps=10000, max_to_keep=None, keep_time_interval=None, keep_period=None, should_keep_fn=None, best_fn=None, best_mode='max', keep_checkpoints_without_metrics=True, step_prefix=None, step_format_fixed_length=None, step_name_format=None, create=True, cleanup_tmp_directories=False, save_on_steps=frozenset(), single_host_load_and_broadcast=False, todelete_subdir=None, todelete_full_path=None, enable_hns=False, enable_background_delete=False, read_only=False, enable_async_checkpointing=True, async_options=None, multiprocessing_options=MultiprocessingOptions(primary_host=0, active_processes=None, barrier_sync_key_prefix=None), should_save_fn=None, file_options=FileOptions(path_permission_mode=None), save_root_metadata=True, temporary_path_class=None, save_decision_policy=None, preservation_policy=None, prevent_write_metrics=False, enable_should_save_is_saving_in_progress_check=True, enable_per_process_directory_creation=False), root_directory=gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7a57580a1190>
I0424 12:08:31.241458 134645151012672 peft_trainer.py:584] Training with mesh: Mesh('diloco': 1, 'data': 4, 'stage': 1, 'fsdp': 8, 'fsdp_transpose': 1, 'sequence': 1, 'context': 1, 'context_autoregressive': 1, 'tensor': 1, 'tensor_transpose': 1, 'tensor_sequence': 1, 'expert': 1, 'autoregressive': 1, axis_types=(Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto))
I0424 12:08:31.652833 134645151012672 peft_trainer.py:594] Compiled train_step cache size: 0
I0424 12:08:31.654793 134645151012672 metric_logger.py:301] number parameters: 0.000 billion
I0424 12:08:31.657593 134492094179072 grain_pool.py:367] Grain pool will use 1 processes.
I0424 12:08:31.684176 134492094179072 grain_pool.py:440] Grain pool will start child processes.
Per train step:
Total TFLOPs: 0.00
split as 54.29% learnable weight flops and 45.71% attention flops
I0424 12:08:31.689425 134492094179072 grain_pool.py:448] Grain pool started all child processes.
2026-04-24 12:08:35.672451: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2026-04-24 12:08:35.716756: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-04-24 12:08:36.882041: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
`rope_scaling`'s factor field must be a float >= 1, got 40
`rope_scaling`'s beta_fast field must be a float, got 32
`rope_scaling`'s beta_slow field must be a float, got 1
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
2026-04-24 12:08:41.102886: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)
I0424 12:08:49.642750 134645151012672 checkpoint_manager.py:1983] [process=4][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 12:08:49.644853 134645151012672 checkpoint_manager.py:1501] [process=4] Saving checkpoint at step 1
I0424 12:08:49.647957 134645151012672 async_checkpointer.py:452] [process=4] Started async saving checkpoint to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/1.
I0424 12:08:50.185297 134645151012672 signaling_client.py:364] Using JaxDistributedSignalingClient
I0424 12:08:50.186305 134645151012672 jax_array_handlers.py:347] Scheduling D2H of 52 prioritized jax.Array.
I0424 12:08:50.186364 134645151012672 replica_slices.py:410] Transferring arrays to host memory with options: use_replica_parallel=True, min_slice_bytes_for_replica_parallel=None, max_replicas_for_replica_parallel=None, enable_pinned_host_transfer=False
I0424 12:08:50.890940 134645151012672 base_pytree_checkpoint_handler.py:153] [process=4][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.705742s
I0424 12:08:50.892462 134645151012672 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/blocking_gbytes_per_sec: 79.518 KiB/s (total gbytes: 76.7 KiB) (time elapsed: 964 milliseconds) (per-host)
I0424 12:08:50.892529 134645151012672 base_pytree_checkpoint_handler.py:732] [process=4][thread=MainThread] Initiated Pytree async_save. Time taken: 0.964516s (batch_requests_ready=0.252476s, total_serialization_initiated=0.711924s, others=0.000115s)
I0424 12:08:50.893594 134645151012672 jax_array_handlers.py:347] Scheduling D2H of 22 prioritized jax.Array.
I0424 12:08:50.893649 134645151012672 replica_slices.py:410] Transferring arrays to host memory with options: use_replica_parallel=True, min_slice_bytes_for_replica_parallel=None, max_replicas_for_replica_parallel=None, enable_pinned_host_transfer=False
I0424 12:08:50.898445 134645151012672 base_pytree_checkpoint_handler.py:153] [process=4][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.005781s
I0424 12:08:50.898564 134645151012672 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/blocking_gbytes_per_sec: 26.283 KiB/s (total gbytes: 25.6 KiB) (time elapsed: 972 milliseconds) (per-host)
I0424 12:08:50.898612 134645151012672 base_pytree_checkpoint_handler.py:732] [process=4][thread=MainThread] Initiated Pytree async_save. Time taken: 0.972659s (batch_requests_ready=0.965175s, total_serialization_initiated=0.007407s, others=0.000077s)
I0424 12:08:50.898703 134645151012672 composite_checkpoint_handler.py:715] [process=4][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.977118s (all_items=0.000023s, per_item={'model_params': '0.00001860', 'optimizer_state': '0.00000429'}, temp_paths=0.977096)
I0424 12:08:50.899671 134488914917120 async_checkpointer.py:79] [process=4][thread=async_save] Background save thread started.
I0424 12:08:50.899839 134645151012672 async_checkpointer.py:561] Finished blocking save. Time taken: 1.254900s. Continuing background save to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/1.
I0424 12:08:50.901654 134645151012672 checkpoint_manager.py:1549] [process=4][thread=MainThread][step=1] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 12:08:50.901921 134489443395328 async_checkpointer.py:265] [process=4][thread=save_finalize] Waiting for background save thread=async_save.
I0424 12:08:50.902050 134645151012672 standard_logger.py:34] {'step': 1, 'event_type': 'save', 'directory': 'gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777032529.6427128, 'wait_for_prev_duration_secs': 0.000148773193359375, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777032529.6449094, 'checkpointer_blocking_duration_secs': 1.255051612854004, 'get_old_steps_start_time': 1777032530.899983, 'get_old_steps_duration_secs': 8.034706115722656e-05, 'checkpoint_manager_blocking_start_time': 1777032529.5077105, 'checkpoint_manager_blocking_duration_secs': 1.3943052291870117}
I0424 12:08:51.037631 134645151012672 peft_trainer.py:474] Train step 1 training loss: 5.894745 - training perplexity: 363.124207
I0424 12:08:51.037911 134645151012672 max_utils.py:750]
Memstats: After params initialized:
I0424 12:08:51.037976 134645151012672 max_utils.py:756] Using (GB) 0.01 / 31.25 (0.032000%) on TPU_16(process=4,(0,4,0,0))
I0424 12:08:51.038013 134645151012672 max_utils.py:756] Using (GB) 0.01 / 31.25 (0.032000%) on TPU_17(process=4,(1,4,0,0))
I0424 12:08:51.038043 134645151012672 max_utils.py:756] Using (GB) 0.01 / 31.25 (0.032000%) on TPU_20(process=4,(0,5,0,0))
I0424 12:08:51.038070 134645151012672 max_utils.py:756] Using (GB) 0.01 / 31.25 (0.032000%) on TPU_21(process=4,(1,5,0,0))
I0424 12:08:51.168150 134645151012672 metric_logger.py:196] completed step: 1, seconds: 19.383, TFLOP/s/device: 0.000, Tokens/s/device: 52.829, total_weights: 21054, loss: 5.895, lm_loss: 0.000, perplexity: 0.000
I0424 12:08:51.176715 134645151012672 peft_trainer.py:474] Train step 2 training loss: 5.603691 - training perplexity: 271.426270
I0424 12:08:51.177435 134645151012672 metric_logger.py:196] completed step: 2, seconds: 0.139, TFLOP/s/device: 0.002, Tokens/s/device: 7376.894, total_weights: 21455, loss: 5.604, lm_loss: 0.000, perplexity: 0.000
I0424 12:08:51.247349 134645151012672 peft_trainer.py:474] Train step 3 training loss: 5.511911 - training perplexity: 247.623871
I0424 12:08:51.248254 134645151012672 metric_logger.py:196] completed step: 3, seconds: 0.071, TFLOP/s/device: 0.003, Tokens/s/device: 14489.947, total_weights: 22025, loss: 5.512, lm_loss: 0.000, perplexity: 0.000
I0424 12:08:51.266252 134645151012672 peft_trainer.py:474] Train step 4 training loss: 5.686435 - training perplexity: 294.840698
I0424 12:08:51.266981 134645151012672 metric_logger.py:196] completed step: 4, seconds: 0.019, TFLOP/s/device: 0.012, Tokens/s/device: 54360.752, total_weights: 23787, loss: 5.686, lm_loss: 0.000, perplexity: 0.000
I0424 12:08:51.280470 134645151012672 peft_trainer.py:733] Train loop finished in: 19.6242 seconds
I0424 12:08:51.281443 134645151012672 peft_trainer.py:474] Train step 5 training loss: 5.766005 - training perplexity: 319.259766
I0424 12:08:51.282139 134645151012672 metric_logger.py:196] completed step: 5, seconds: 0.015, TFLOP/s/device: 0.015, Tokens/s/device: 67432.087, total_weights: 20141, loss: 5.766, lm_loss: 0.000, perplexity: 0.000
I0424 12:08:53.091215 2992 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0424 12:08:55.003154 134489418217216 array_metadata_store.py:203] [process=4][thread=array_type_handler] Wrote 52 array_metadata.ArrayMetadata to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/1/optimizer_state/array_metadatas/process_4
I0424 12:08:55.026992 134489401431808 array_metadata_store.py:203] [process=4][thread=array_type_handler] Wrote 22 array_metadata.ArrayMetadata to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/1/model_params/array_metadatas/process_4
I0424 12:08:55.028167 134488914917120 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/gbytes_per_sec: 5.010 KiB/s (total gbytes: 25.6 KiB) (time elapsed: 5 seconds) (per-host)
I0424 12:08:55.028325 134488914917120 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/gbytes_per_sec: 15.036 KiB/s (total gbytes: 76.7 KiB) (time elapsed: 5 seconds) (per-host)
I0424 12:08:55.028363 134488914917120 async_checkpointer.py:90] [process=4][thread=async_save] 4 Handler Commit operations completed. Time taken: 4.128578s.
I0424 12:09:00.439439 134645151012672 checkpoint_manager.py:1994] [process=4][thread=MainThread][step=1][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 12:09:06.716241 134488914917120 async_checkpointer.py:144] [process=4][thread=async_save] Background save thread done. Time taken: 15.816438s.
I0424 12:09:06.716572 134489443395328 async_checkpointer.py:273] [process=4][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 12:09:06.716691 134489443395328 async_checkpointer.py:283] [process=4][thread=save_finalize] No errors found in background save thread=async_save.
I0424 12:09:06.716741 134489443395328 checkpoint_manager.py:2103] [process=4][thread=save_finalize][step=1] CheckpointManager Save Finalize is syncing with other hosts...
I0424 12:09:06.718056 134489443395328 checkpoint_manager.py:2112] [process=4][thread=save_finalize][step=1] CheckpointManager Save Finalize is done on all hosts.
I0424 12:09:06.718240 134645151012672 checkpoint_manager.py:2006] [process=4][thread=MainThread][step=1][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=1.
W0424 12:09:06.718374 134645151012672 checkpoint_manager.py:1441] Waiting for previous save to complete took 6.278954 seconds. If this number is high, consider checkpointing less frequently.
I0424 12:09:06.720014 134645151012672 checkpoint_manager.py:1501] [process=4] Saving checkpoint at step 5
I0424 12:09:06.723476 134645151012672 async_checkpointer.py:452] [process=4] Started async saving checkpoint to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/5.
I0424 12:09:07.278192 134645151012672 jax_array_handlers.py:347] Scheduling D2H of 52 prioritized jax.Array.
I0424 12:09:07.278287 134645151012672 replica_slices.py:410] Transferring arrays to host memory with options: use_replica_parallel=True, min_slice_bytes_for_replica_parallel=None, max_replicas_for_replica_parallel=None, enable_pinned_host_transfer=False
I0424 12:09:07.290795 134645151012672 base_pytree_checkpoint_handler.py:153] [process=4][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.013440s
I0424 12:09:07.292155 134645151012672 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/blocking_gbytes_per_sec: 285.114 KiB/s (total gbytes: 76.7 KiB) (time elapsed: 268 milliseconds) (per-host)
I0424 12:09:07.292213 134645151012672 base_pytree_checkpoint_handler.py:732] [process=4][thread=MainThread] Initiated Pytree async_save. Time taken: 0.269065s (batch_requests_ready=0.252213s, total_serialization_initiated=0.016756s, others=0.000097s)
I0424 12:09:07.293319 134645151012672 jax_array_handlers.py:347] Scheduling D2H of 22 prioritized jax.Array.
I0424 12:09:07.293370 134645151012672 replica_slices.py:410] Transferring arrays to host memory with options: use_replica_parallel=True, min_slice_bytes_for_replica_parallel=None, max_replicas_for_replica_parallel=None, enable_pinned_host_transfer=False
I0424 12:09:07.298066 134645151012672 base_pytree_checkpoint_handler.py:153] [process=4][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.005728s
I0424 12:09:07.298166 134645151012672 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/blocking_gbytes_per_sec: 92.476 KiB/s (total gbytes: 25.6 KiB) (time elapsed: 276 milliseconds) (per-host)
I0424 12:09:07.298208 134645151012672 base_pytree_checkpoint_handler.py:732] [process=4][thread=MainThread] Initiated Pytree async_save. Time taken: 0.276481s (batch_requests_ready=0.269201s, total_serialization_initiated=0.007218s, others=0.000062s)
I0424 12:09:07.298295 134645151012672 composite_checkpoint_handler.py:715] [process=4][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.280517s (all_items=0.000012s, per_item={'model_params': '0.00000978', 'optimizer_state': '0.00000238'}, temp_paths=0.280504)
I0424 12:09:07.299169 134489443395328 async_checkpointer.py:79] [process=4][thread=async_save] Background save thread started.
I0424 12:09:07.299266 134645151012672 async_checkpointer.py:561] Finished blocking save. Time taken: 0.579181s. Continuing background save to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/5.
I0424 12:09:07.685739 134645151012672 checkpoint_manager.py:1549] [process=4][thread=MainThread][step=5] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 12:09:07.686113 134488914917120 async_checkpointer.py:265] [process=4][thread=save_finalize] Waiting for background save thread=async_save.
I0424 12:09:07.686282 134645151012672 standard_logger.py:34] {'step': 5, 'event_type': 'save', 'directory': 'gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777032540.4393964, 'wait_for_prev_duration_secs': 6.278954267501831, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777032546.7200549, 'checkpointer_blocking_duration_secs': 0.579322338104248, 'get_old_steps_start_time': 1777032547.2993982, 'get_old_steps_duration_secs': 8.0108642578125e-05, 'checkpoint_manager_blocking_start_time': 1777032531.2855985, 'checkpoint_manager_blocking_duration_secs': 16.400646924972534}
I0424 12:09:07.686480 134645151012672 checkpoint_manager.py:1994] [process=4][thread=MainThread][step=5][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 12:09:12.063593 134487841175296 array_metadata_store.py:203] [process=4][thread=array_type_handler] Wrote 22 array_metadata.ArrayMetadata to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/5/model_params/array_metadatas/process_4
I0424 12:09:12.064770 134489443395328 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/gbytes_per_sec: 5.069 KiB/s (total gbytes: 25.6 KiB) (time elapsed: 5 seconds) (per-host)
I0424 12:09:12.118028 134489418217216 array_metadata_store.py:203] [process=4][thread=array_type_handler] Wrote 52 array_metadata.ArrayMetadata to gs://lance-maxtext/pt_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120707/pt_sft_linen_xpk_feat_nnx_post_train_fixes_20260424_120707_01_sft_smoke/checkpoints/5/optimizer_state/array_metadatas/process_4
I0424 12:09:12.119237 134489443395328 base_pytree_checkpoint_handler.py:128] [process=4] /jax/checkpoint/write/gbytes_per_sec: 15.048 KiB/s (total gbytes: 76.7 KiB) (time elapsed: 5 seconds) (per-host)
I0424 12:09:12.119340 134489443395328 async_checkpointer.py:90] [process=4][thread=async_save] 4 Handler Commit operations completed. Time taken: 4.820112s.
I0424 12:09:22.458468 134489443395328 async_checkpointer.py:144] [process=4][thread=async_save] Background save thread done. Time taken: 15.159226s.
I0424 12:09:22.458696 134488914917120 async_checkpointer.py:273] [process=4][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 12:09:22.458758 134488914917120 async_checkpointer.py:283] [process=4][thread=save_finalize] No errors found in background save thread=async_save.
I0424 12:09:22.458805 134488914917120 checkpoint_manager.py:2103] [process=4][thread=save_finalize][step=5] CheckpointManager Save Finalize is syncing with other hosts...
I0424 12:09:22.460398 134488914917120 checkpoint_manager.py:2112] [process=4][thread=save_finalize][step=5] CheckpointManager Save Finalize is done on all hosts.
I0424 12:09:22.460592 134645151012672 checkpoint_manager.py:2006] [process=4][thread=MainThread][step=5][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=5.
I0424 12:09:22.460748 134645151012672 checkpoint.py:459] Closing _NonBlockingMetadataStore(enable_write=True, _write_lock=<locked _thread.RLock object owner=134645151012672 count=1 at 0x7a58b8102480>, _store_impl=<orbax.checkpoint._src.metadata.checkpoint._MetadataStoreImpl object at 0x7a57580a5550>, _single_thread_executor=<concurrent.futures.thread.ThreadPoolExecutor object at 0x7a57580a5520>, _write_futures=[])
I0424 12:09:22.461216 134645151012672 checkpoint.py:459] Closing _NonBlockingMetadataStore(enable_write=True, _write_lock=<locked _thread.RLock object owner=134645151012672 count=1 at 0x7a58b8102480>, _store_impl=<orbax.checkpoint._src.metadata.checkpoint._MetadataStoreImpl object at 0x7a57580a5550>, _single_thread_executor=<concurrent.futures.thread.ThreadPoolExecutor object at 0x7a57580a5520>, _write_futures=[])
I0424 12:09:22.461249 134645151012672 checkpoint.py:459] Closing _NonBlockingMetadataStore(enable_write=True, _write_lock=<locked _thread.RLock object owner=134645151012672 count=1 at 0x7a58b8102480>, _store_impl=<orbax.checkpoint._src.metadata.checkpoint._MetadataStoreImpl object at 0x7a57580a5550>, _single_thread_executor=<concurrent.futures.thread.ThreadPoolExecutor object at 0x7a57580a5520>, _write_futures=[])
I0424 12:09:22.776576 134492094179072 grain_pool.py:542] Grain pool is exiting.
I0424 12:09:22.776677 134492094179072 grain_pool.py:547] Shutting down multiprocessing system.
I0424 12:09:24.864463 134492094179072 grain_pool.py:547] Shutting down multiprocessing system.
/usr/local/lib/python3.12/multiprocessing/resource_tracker.py:279: UserWarning: resource_tracker: There appear to be 15 leaked shared_memory objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
XPK End: Fri Apr 24 12:09:35 UTC 2026
EXIT_CODE=0