XPK Start: Fri Apr 17 03:39:05 UTC 2026 PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. 2026-04-17 03:39:29.247146: 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) I0417 03:39:29.423639 134332767708992 max_utils.py:273] Attempting to initialize the jax distributed system... I0417 03:39:38.463405 134332767708992 distributed.py:149] Starting JAX distributed service on [::]:8482 I0417 03:39:38.465681 134332767708992 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-m1dnv-slice-job-0-0.mt-13-scan-layers-false-m1dnv:8482 I0417 03:39:39.698132 134332767708992 max_utils.py:284] Jax distributed system initialized! I0417 03:39:45.853635 134332767708992 max_utils.py:800] System Information: Jax Version: 0.9.2 I0417 03:39:45.853737 134332767708992 max_utils.py:801] System Information: Jaxlib Version: 0.9.2 I0417 03:39:45.853776 134332767708992 max_utils.py:802] System Information: Jax Backend: PJRT C API TFRT TPU v6 lite Built on Mar 4 2026 11:32:08 (1772652728) cl/878335365 I0417 03:39:45.853809 134332767708992 train_utils.py:377] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing. I0417 03:39:46.518069 134332767708992 maxtext_utils.py:1687] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1) I0417 03:39:46.518651 134332767708992 maxtext_utils.py:1687] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1) I0417 03:39:46.518827 134332767708992 checkpointing.py:688] Setting up checkpoint logger... I0417 03:39:46.518892 134332767708992 checkpointing.py:234] Creating checkpoint manager with ocdbt=True and zarr3=True I0417 03:39:46.518936 134332767708992 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None I0417 03:39:46.519259 134332767708992 base_pytree_checkpoint_handler.py:441] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=True, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7a2c27f141a0>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB) I0417 03:39:49.306088 134332767708992 checkpointing.py:266] Enabling policy for fixed interval checkpointing. I0417 03:39:49.306321 134332767708992 checkpoint_manager.py:708] [process=0][thread=MainThread] CheckpointManager init: checkpointers=None, item_names=('items',), item_handlers={'items': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a181418c7d0>}, handler_registry=None I0417 03:39:49.306563 134332767708992 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a181418c7d0>` for item "items" 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`. I0417 03:39:49.306616 134332767708992 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a17e471d580>` 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`. I0417 03:39:49.306651 134332767708992 composite_checkpoint_handler.py:505] Initialized registry DefaultCheckpointHandlerRegistry({('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a181418c7d0>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7a181418c7d0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a17e471d580>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7a17e471d580>}). I0417 03:39:49.306979 134332767708992 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34 I0417 03:39:49.307051 134332767708992 async_checkpointer.py:192] [process=0][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7a17e46a07c0> timeout: 1200 secs and primary_host=0 for async checkpoint writes I0417 03:39:50.895222 134332767708992 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints I0417 03:39:51.747397 134332767708992 checkpoint_manager.py:929] [process=0][thread=MainThread] CheckpointManager created, primary_host=0, CheckpointManagerOptions=CheckpointManagerOptions(save_interval_steps=1, 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_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=FixedIntervalPolicy(interval=10), preservation_policy=LatestN(n=None), prevent_write_metrics=False, enable_should_save_is_saving_in_progress_check=True, enable_per_process_directory_creation=False, lightweight_initialize=False), root_directory=gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7a17e471fe00> I0417 03:39:51.747563 134332767708992 checkpointing.py:302] Checkpoint manager created! I0417 03:39:52.674536 134332767708992 nnx_wrappers.py:437] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed'). I0417 03:39:52.674648 134332767708992 nnx_wrappers.py:437] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None). I0417 03:39:53.055347 134332767708992 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed'). I0417 03:39:53.055435 134332767708992 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None). I0417 03:39:53.071639 134332767708992 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed'). I0417 03:39:53.071697 134332767708992 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None). I0417 03:39:53.101078 134332767708992 attentions.py:1154] attentions/query Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim'). I0417 03:39:53.101148 134332767708992 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0417 03:39:53.117700 134332767708992 attentions.py:1155] attentions/key Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim'). I0417 03:39:53.117769 134332767708992 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0417 03:39:53.133926 134332767708992 attentions.py:1156] attentions/value Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim'). I0417 03:39:53.133985 134332767708992 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0417 03:39:53.162551 134332767708992 attentions.py:1197] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch', 'activation_attn_length', 'activation_heads', 'activation_kv'). I0417 03:39:53.162618 134332767708992 attentions.py:1197] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0417 03:39:53.185514 134332767708992 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp'). I0417 03:39:53.185578 134332767708992 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None). I0417 03:39:56.051591 134332767708992 checkpointing.py:578] checkpoint manager exists so trying to load this run's existing checkpoint I0417 03:39:56.051720 134332767708992 checkpointing.py:676] No existing checkpoints found, not restoring checkpoint. fsdp: 32 I0417 03:40:03.276988 134332767708992 maxtext_utils.py:1796] params/params/decoder/decoder_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277118 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.277170 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.277227 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.277268 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277305 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277355 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.277405 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.277444 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.277478 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_0/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.277513 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.277546 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.277578 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.277610 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277641 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277674 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.277709 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.277743 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.277776 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_1/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.277808 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.277854 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.277892 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.277927 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277957 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.277990 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278022 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.278053 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.278085 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_10/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278115 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278145 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278175 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.278204 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.278232 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.278261 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278292 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.278322 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.278351 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_11/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278381 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278410 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278439 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.278467 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.278495 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.278524 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278554 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.278584 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.278613 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_12/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278643 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278673 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278702 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.278730 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.278757 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.278787 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278816 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.278857 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.278889 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_13/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.278923 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278954 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.278983 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.279011 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279039 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279069 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279099 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.279128 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.279158 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_14/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279187 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.279216 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.279245 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.279271 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279299 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279328 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279356 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.279386 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.279415 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_15/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279444 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.279474 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.279503 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.279530 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279558 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279589 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279620 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.279649 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.279679 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_2/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279707 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.279736 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.279765 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.279792 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279819 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.279856 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279887 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.279920 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.279950 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_3/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.279978 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280008 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280036 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.280063 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280090 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280118 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280148 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.280176 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.280205 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_4/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280234 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280262 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280291 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.280318 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280345 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280374 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280402 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.280431 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.280460 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_5/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280489 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280517 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280546 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.280573 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280600 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280628 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280657 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.280686 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.280715 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_6/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280743 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280771 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.280800 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.280827 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280865 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.280895 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.280930 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.280961 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.280990 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_7/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.281019 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.281048 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.281077 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.281104 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.281131 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.281160 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.281189 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.281218 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.281247 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_8/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.281276 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.281304 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0417 03:40:03.281333 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0417 03:40:03.281359 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.281386 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0417 03:40:03.281414 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/self_attention/key/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.281443 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/self_attention/out/kernel Shape: float32[16,128,2048] Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0417 03:40:03.281472 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/self_attention/query/kernel Shape: float32[2048,16,128] Logical: P('embed', 'q_heads', 'kv') Physical: ('fsdp', None, None) I0417 03:40:03.281500 134332767708992 maxtext_utils.py:1796] params/params/decoder/layers_9/self_attention/value/kernel Shape: float32[2048,16,128] Logical: P('embed', 'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0417 03:40:03.281548 134332767708992 maxtext_utils.py:1796] params/params/decoder/logits_dense/kernel Shape: float32[2048,32000] Logical: P('embed_vocab', 'vocab') Physical: ('fsdp', None) I0417 03:40:03.281590 134332767708992 maxtext_utils.py:1796] params/params/token_embedder/embedding Shape: float32[32000,2048] Logical: P('vocab', 'embed_vocab') Physical: (None, 'fsdp') I0417 03:40:07.781395 134332767708992 train.py:157] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length'). I0417 03:40:07.781492 134332767708992 train.py:157] train/xent Physical: float32[32,2048]............................................ ('fsdp', None). I0417 03:40:07.797396 134332767708992 train.py:164] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length'). I0417 03:40:07.797461 134332767708992 train.py:164] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None). I0417 03:41:04.405392 134332767708992 max_utils.py:791] Total memory size: 1.8 GB, Output size: 0.4 GB, Temp size: 1.5 GB, Argument size: 0.4 GB, Host temp size: 0.0 GB. I0417 03:41:04.413709 134332767708992 metric_logger.py:289] number parameters: 1.104 billion I0417 03:42:06.017291 134332767708992 checkpointing.py:794] Waiting for step 0 to finish before checkpoint... I0417 03:42:06.264183 134332767708992 checkpointing.py:798] Waited 0.2468705177307129 seconds for step 0 to finish before starting checkpointing. I0417 03:42:06.267822 134332767708992 checkpoint_manager.py:2009] [process=0][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning. I0417 03:42:06.269573 134332767708992 checkpoint_manager.py:1512] [process=0] Saving checkpoint at step 0 I0417 03:42:06.270938 134332767708992 event_tracking.py:70] [process=0] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0. I0417 03:42:06.585407 134332767708992 signaling_client.py:364] Using JaxDistributedSignalingClient I0417 03:42:06.630973 134332767708992 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array. I0417 03:42:06.631114 134332767708992 replica_slices.py:424] 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 I0417 03:42:06.830291 134203895179008 atomicity.py:140] Creating tmp directory gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0 I0417 03:42:06.930945 134332767708992 base_pytree_checkpoint_handler.py:154] [process=0][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.301317s I0417 03:42:06.931788 134332767708992 base_pytree_checkpoint_handler.py:130] [process=0] /jax/orbax/write/blocking_gbytes_per_sec: 4.551 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.3389620780944824 s) (per-host) I0417 03:42:06.931869 134332767708992 base_pytree_checkpoint_handler.py:768] [process=0][thread=MainThread] Initiated Pytree async_save. Time taken: 0.339061s (batch_requests_ready=0.017997s, total_serialization_initiated=0.320288s, others=0.000776s) I0417 03:42:06.931987 134332767708992 composite_checkpoint_handler.py:715] [process=0][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.342891s (all_items=0.000018s, per_item={'items': '0.00001788'}, temp_paths=0.342873) I0417 03:42:06.932691 134332767708992 event_tracking.py:125] [process=0] [async] Finished blocking save in 0.66 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0. I0417 03:42:06.933054 134204388292352 async_checkpointer.py:76] [process=0][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-17 04:02:06.933016 I0417 03:42:06.971814 134332767708992 checkpoint_manager.py:1560] [process=0][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize I0417 03:42:06.972132 134203366700800 async_checkpointer.py:280] [process=0][thread=save_finalize] Waiting for background save thread=async_save. I0417 03:42:06.972271 134332767708992 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1776397326.267804, 'wait_for_prev_duration_secs': 7.915496826171875e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1776397326.2696116, 'checkpointer_blocking_duration_secs': 0.6635925769805908, 'get_old_steps_start_time': 1776397326.9332278, 'get_old_steps_duration_secs': 2.8848648071289062e-05, 'checkpoint_manager_blocking_start_time': 1776397326.2657056, 'checkpoint_manager_blocking_duration_secs': 0.7065262794494629} I0417 03:42:06.972476 134332767708992 checkpointing.py:409] Started an asynchronous checkpoint save for step 0 I0417 03:42:06.972525 134332767708992 max_utils.py:750] Memstats: After params initialized: I0417 03:42:06.972583 134332767708992 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_0(process=0,(0,0,0,0)) I0417 03:42:06.972615 134332767708992 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_1(process=0,(1,0,0,0)) I0417 03:42:06.972643 134332767708992 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_4(process=0,(0,1,0,0)) I0417 03:42:06.972666 134332767708992 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_5(process=0,(1,1,0,0)) I0417 03:42:07.342226 134332767708992 metric_logger.py:185] completed step: 0, seconds: 60.990, TFLOP/s/device: 0.223, Tokens/s/device: 33.579, total_weights: 65536, loss: 10.877 I0417 03:42:07.344944 134332767708992 metric_logger.py:269] To see full metrics 'tensorboard --logdir=gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/tensorboard/' I0417 03:42:07.768883 134332767708992 metric_logger.py:185] completed step: 1, seconds: 1.316, TFLOP/s/device: 10.323, Tokens/s/device: 1556.070, total_weights: 65536, loss: 10.877 I0417 03:42:07.900859 134332767708992 metric_logger.py:185] completed step: 2, seconds: 0.433, TFLOP/s/device: 31.392, Tokens/s/device: 4731.726, total_weights: 65536, loss: 10.268 I0417 03:42:08.037302 134332767708992 metric_logger.py:185] completed step: 3, seconds: 0.011, TFLOP/s/device: 1201.763, Tokens/s/device: 181142.756, total_weights: 65536, loss: 9.741 I0417 03:42:09.657574 134203339974400 checkpoint.py:188] Wrote Metadata={'item_handlers': None, 'metrics': {}, 'performance_metrics': {}, 'init_timestamp_nsecs': 1776397329255093182, 'commit_timestamp_nsecs': None, 'custom_metadata': {}}, json={"item_handlers": null, "metrics": {}, "performance_metrics": {}, "init_timestamp_nsecs": 1776397329255093182, "commit_timestamp_nsecs": null, "custom_metadata": {}} to gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/_CHECKPOINT_METADATA I0417 03:42:09.934739 134203878393600 atomicity.py:140] Creating tmp directory gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/items I0417 03:42:11.960443 2893 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com I0417 03:42:14.256170 134203861608192 array_metadata_store.py:203] [process=0][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_0 I0417 03:42:32.183052 134332767708992 metric_logger.py:185] completed step: 4, seconds: 0.134, TFLOP/s/device: 101.686, Tokens/s/device: 15327.276, total_weights: 65536, loss: 9.285 I0417 03:42:32.197465 134332767708992 metric_logger.py:185] completed step: 5, seconds: 0.136, TFLOP/s/device: 99.599, Tokens/s/device: 15012.682, total_weights: 65536, loss: 8.900 I0417 03:42:32.327995 134332767708992 metric_logger.py:185] completed step: 6, seconds: 24.146, TFLOP/s/device: 0.563, Tokens/s/device: 84.816, total_weights: 65536, loss: 8.602 I0417 03:42:32.464168 134332767708992 metric_logger.py:185] completed step: 7, seconds: 0.012, TFLOP/s/device: 1150.769, Tokens/s/device: 173456.424, total_weights: 65536, loss: 8.393 I0417 03:42:32.600366 134332767708992 metric_logger.py:185] completed step: 8, seconds: 0.132, TFLOP/s/device: 102.965, Tokens/s/device: 15519.972, total_weights: 65536, loss: 8.264 I0417 03:42:32.736177 134332767708992 checkpointing.py:794] Waiting for step 9 to finish before checkpoint... I0417 03:42:32.739555 134332767708992 checkpointing.py:798] Waited 0.003393888473510742 seconds for step 9 to finish before starting checkpointing. I0417 03:42:32.742853 134332767708992 checkpoint_manager.py:2020] [process=0][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete. I0417 03:42:45.402987 134203853215488 base_pytree_checkpoint_handler.py:1282] [process=0][thread=write_metadata_after_commits] Commit + Array metadata written. Time taken: 33.471424s (commit=31.850805s, array_metadata_write=1.620619s) I0417 03:42:45.404688 134204388292352 base_pytree_checkpoint_handler.py:130] [process=0] /jax/orbax/write/gbytes_per_sec: 40.699 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 38.81181502342224 s) (per-host) I0417 03:42:45.404863 134204388292352 async_checkpointer.py:90] [process=0][thread=async_save] 3 Handler Commit operations completed. Time taken: 38.471674s. I0417 03:42:46.086142 134204388292352 checkpoint.py:228] Read Metadata={'item_handlers': None, 'metrics': {}, 'performance_metrics': {}, 'init_timestamp_nsecs': 1776397329255093182, 'commit_timestamp_nsecs': None, 'custom_metadata': {}} from gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/_CHECKPOINT_METADATA I0417 03:42:47.279818 134203339974400 checkpoint.py:247] Updated Metadata={'item_handlers': {'items': 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler'}, 'metrics': {}, 'performance_metrics': {}, 'init_timestamp_nsecs': 1776397329255093182, 'commit_timestamp_nsecs': None, 'custom_metadata': {}} to gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/_CHECKPOINT_METADATA I0417 03:42:47.620540 134204388292352 array_metadata_store.py:411] [process=0][thread=async_save] Validated ArrayMetadata from all 8 hosts. Time taken: 0.002281s. I0417 03:42:47.622327 134204388292352 ocdbt_utils.py:49] Param validation support for Zarr3 will be added later (b/362328389). I0417 03:42:48.974731 134204388292352 base_pytree_checkpoint_handler.py:1406] [process=0][thread=async_save] Pytree save finalize (merge_ocdbt + ArrayMetadata validation) completed. Time taken: 2.333540s. use_zarr3=True, enable_post_merge_validation=True, directory=gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/items I0417 03:42:48.976344 134204388292352 atomicity.py:666] Finalizing gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0/items I0417 03:42:49.513123 134204388292352 atomicity.py:666] Finalizing gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0 I0417 03:42:50.951374 134204388292352 atomicity.py:847] [process=0][thread=async_save] Finished saving checkpoint (finalized tmp dir) to `gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0`. I0417 03:42:50.952255 134204388292352 event_tracking.py:138] [process=0] [async] Finished save (blocking + background) in 44.68 seconds @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/0 I0417 03:42:50.953690 134204388292352 async_checkpointer.py:160] [process=0][thread=async_save] Background save thread done. Time taken: 44.020519s. I0417 03:42:50.953930 134203366700800 async_checkpointer.py:288] [process=0][thread=save_finalize] Done with waiting for background save thread=async_save. I0417 03:42:50.954051 134203366700800 async_checkpointer.py:298] [process=0][thread=save_finalize] No errors found in background save thread=async_save. I0417 03:42:50.954119 134203366700800 checkpoint_manager.py:2137] [process=0][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts... I0417 03:42:50.956147 134203366700800 checkpoint_manager.py:2146] [process=0][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts. I0417 03:42:50.956333 134332767708992 checkpoint_manager.py:2032] [process=0][thread=MainThread][step=0][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=0. W0417 03:42:50.956470 134332767708992 checkpoint_manager.py:1452] Waiting for previous save to complete took 18.213630 seconds. If this number is high, consider checkpointing less frequently. I0417 03:42:50.958950 134332767708992 checkpoint_manager.py:1512] [process=0] Saving checkpoint at step 9 I0417 03:42:50.960770 134332767708992 event_tracking.py:70] [process=0] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9. I0417 03:42:51.697121 134332767708992 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array. I0417 03:42:51.697284 134332767708992 replica_slices.py:424] 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 I0417 03:42:51.821686 134332767708992 base_pytree_checkpoint_handler.py:154] [process=0][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.125886s I0417 03:42:51.822471 134332767708992 base_pytree_checkpoint_handler.py:130] [process=0] /jax/orbax/write/blocking_gbytes_per_sec: 9.525 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.16194987297058105 s) (per-host) I0417 03:42:51.822536 134332767708992 base_pytree_checkpoint_handler.py:768] [process=0][thread=MainThread] Initiated Pytree async_save. Time taken: 0.162031s (batch_requests_ready=0.017427s, total_serialization_initiated=0.143895s, others=0.000709s) I0417 03:42:51.822653 134332767708992 composite_checkpoint_handler.py:715] [process=0][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.165958s (all_items=0.000016s, per_item={'items': '0.00001645'}, temp_paths=0.165942) I0417 03:42:51.823397 134332767708992 event_tracking.py:125] [process=0] [async] Finished blocking save in 0.86 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9. I0417 03:42:51.823749 134203366700800 async_checkpointer.py:76] [process=0][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-17 04:02:51.823713 I0417 03:42:51.826945 134332767708992 checkpoint_manager.py:1560] [process=0][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize I0417 03:42:51.827212 134203853215488 async_checkpointer.py:280] [process=0][thread=save_finalize] Waiting for background save thread=async_save. I0417 03:42:51.827373 134332767708992 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1776397352.7428057, 'wait_for_prev_duration_secs': 18.213630437850952, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1776397370.9589913, 'checkpointer_blocking_duration_secs': 0.8648688793182373, 'get_old_steps_start_time': 1776397371.8238838, 'get_old_steps_duration_secs': 3.123283386230469e-05, 'checkpoint_manager_blocking_start_time': 1776397352.7403944, 'checkpoint_manager_blocking_duration_secs': 19.086946725845337} I0417 03:42:51.827549 134332767708992 checkpointing.py:409] Started an asynchronous checkpoint save for step 9 I0417 03:42:51.827594 134332767708992 checkpoint_manager.py:2020] [process=0][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete. I0417 03:42:51.910460 134204388292352 atomicity.py:140] Creating tmp directory gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9 I0417 03:42:54.079990 134204921345792 atomicity.py:140] Creating tmp directory gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9/items I0417 03:42:57.294781 134203895179008 array_metadata_store.py:203] [process=0][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_0 I0417 03:43:37.103287 134203861608192 base_pytree_checkpoint_handler.py:1282] [process=0][thread=write_metadata_after_commits] Commit + Array metadata written. Time taken: 41.742625s (commit=39.501849s, array_metadata_write=2.240776s) I0417 03:43:37.105159 134203366700800 base_pytree_checkpoint_handler.py:130] [process=0] /jax/orbax/write/gbytes_per_sec: 34.759 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 45.44459581375122 s) (per-host) I0417 03:43:37.105285 134203366700800 async_checkpointer.py:90] [process=0][thread=async_save] 3 Handler Commit operations completed. Time taken: 45.280759s. I0417 03:43:38.756941 134203366700800 array_metadata_store.py:411] [process=0][thread=async_save] Validated ArrayMetadata from all 8 hosts. Time taken: 0.002776s. I0417 03:43:39.046182 134203366700800 ocdbt_utils.py:49] Param validation support for Zarr3 will be added later (b/362328389). I0417 03:43:40.281946 134203366700800 base_pytree_checkpoint_handler.py:1406] [process=0][thread=async_save] Pytree save finalize (merge_ocdbt + ArrayMetadata validation) completed. Time taken: 2.282154s. use_zarr3=True, enable_post_merge_validation=True, directory=gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9/items I0417 03:43:40.283648 134203366700800 atomicity.py:666] Finalizing gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9/items I0417 03:43:40.803235 134203366700800 atomicity.py:666] Finalizing gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9 I0417 03:43:42.200947 134203366700800 atomicity.py:847] [process=0][thread=async_save] Finished saving checkpoint (finalized tmp dir) to `gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9`. I0417 03:43:42.201785 134203366700800 event_tracking.py:138] [process=0] [async] Finished save (blocking + background) in 51.24 seconds @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260417_023710/linen_xpk_feat_nnx_post_train_fixes_20260417_023710_13_scan_layers_false/checkpoints/9 I0417 03:43:42.203402 134203366700800 async_checkpointer.py:160] [process=0][thread=async_save] Background save thread done. Time taken: 50.378874s. I0417 03:43:42.203610 134203853215488 async_checkpointer.py:288] [process=0][thread=save_finalize] Done with waiting for background save thread=async_save. I0417 03:43:42.203726 134203853215488 async_checkpointer.py:298] [process=0][thread=save_finalize] No errors found in background save thread=async_save. I0417 03:43:42.203790 134203853215488 checkpoint_manager.py:2137] [process=0][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts... I0417 03:43:42.205523 134203853215488 checkpoint_manager.py:2146] [process=0][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts. I0417 03:43:42.205702 134332767708992 checkpoint_manager.py:2032] [process=0][thread=MainThread][step=9][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=9. I0417 03:43:42.205863 134332767708992 checkpoint_manager.py:2009] [process=0][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning. I0417 03:43:42.206523 134332767708992 metric_logger.py:185] completed step: 9, seconds: 0.135, TFLOP/s/device: 100.462, Tokens/s/device: 15142.777, total_weights: 65536, loss: 8.188 Per train step: Total TFLOPs: 13.59 split as 93.93% learnable weight flops and 6.07% attention flops XPK End: Fri Apr 17 03:43:51 UTC 2026 EXIT_CODE=0