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XPK Start: Fri Apr 24 07:42:49 UTC 2026
PyTorch was not found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
`rope_parameters`'s factor field must be a float >= 1, got 40
`rope_parameters`'s beta_fast field must be a float, got 32
`rope_parameters`'s beta_slow field must be a float, got 1
DeepseekV32Config got `key=rope_scaling` in kwargs but hasn't set it as attribute. For RoPE standardization you need to set `self.rope_parameters` in model's config. 
2026-04-24 07:43:13.954729: 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 07:43:14.166485 133699333535552 max_utils.py:273] Attempting to initialize the jax distributed system...
I0424 07:43:23.208752 133699333535552 distributed.py:149] Starting JAX distributed service on [::]:8482
I0424 07:43:23.211035 133699333535552 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-uyqu5-slice-job-0-0.mt-13-scan-layers-false-uyqu5:8482
I0424 07:43:24.382563 133699333535552 max_utils.py:284] Jax distributed system initialized!
I0424 07:43:29.447008 133699333535552 max_utils.py:800] System Information: Jax Version: 0.9.2
I0424 07:43:29.447111 133699333535552 max_utils.py:801] System Information: Jaxlib Version: 0.9.2
I0424 07:43:29.447152 133699333535552 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
I0424 07:43:29.447189 133699333535552 train_utils.py:361] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing.
I0424 07:43:30.144434 133699333535552 maxtext_utils.py:1604] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0424 07:43:30.144727 133699333535552 checkpointing.py:677] Setting up checkpoint logger...
I0424 07:43:30.144783 133699333535552 checkpointing.py:233] Creating checkpoint manager with ocdbt=True and zarr3=True
I0424 07:43:30.144827 133699333535552 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None
I0424 07:43:30.145168 133699333535552 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 0x7998c0d18f80>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0424 07:43:33.008356 133699333535552 checkpointing.py:265] Enabling policy for fixed interval checkpointing.
I0424 07:43:33.008596 133699333535552 checkpoint_manager.py:708] [process=5][thread=MainThread] CheckpointManager init: checkpointers=None, item_names=('items',), item_handlers={'items': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7985006a6300>}, handler_registry=None
I0424 07:43:33.008848 133699333535552 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7985006a6300>` 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`.
I0424 07:43:33.008899 133699333535552 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7985006a9ee0>` 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 07:43:33.008935 133699333535552 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 0x7985006a6300>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7985006a6300>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7985006a9ee0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7985006a9ee0>}).
I0424 07:43:33.009264 133699333535552 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34
I0424 07:43:33.009334 133699333535552 async_checkpointer.py:192] [process=5][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7985002d9940> timeout: 1200 secs and primary_host=0 for async checkpoint writes
I0424 07:43:33.744480 133699333535552 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints
I0424 07:43:33.961011 133699333535552 checkpoint_manager.py:929] [process=5][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_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7985006a7200>
I0424 07:43:33.961183 133699333535552 checkpointing.py:301] Checkpoint manager created!
I0424 07:43:34.910640 133699333535552 nnx_wrappers.py:437] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed').
I0424 07:43:34.910767 133699333535552 nnx_wrappers.py:437] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 07:43:35.292994 133699333535552 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0424 07:43:35.293088 133699333535552 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 07:43:35.309375 133699333535552 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0424 07:43:35.309434 133699333535552 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 07:43:35.345121 133699333535552 attentions.py:1154] attentions/query Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim').
I0424 07:43:35.345231 133699333535552 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 07:43:35.361546 133699333535552 attentions.py:1155] attentions/key Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim').
I0424 07:43:35.361610 133699333535552 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 07:43:35.377858 133699333535552 attentions.py:1156] attentions/value Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim').
I0424 07:43:35.377921 133699333535552 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 07:43:35.407475 133699333535552 attentions.py:1198] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch', 'activation_attn_length', 'activation_heads', 'activation_kv').
I0424 07:43:35.407545 133699333535552 attentions.py:1198] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 07:43:35.429471 133699333535552 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp').
I0424 07:43:35.429538 133699333535552 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None).
I0424 07:43:38.330959 133699333535552 checkpointing.py:577] checkpoint manager exists so trying to load this run's existing checkpoint
I0424 07:43:38.331086 133699333535552 checkpointing.py:665] No existing checkpoints found, not restoring checkpoint.
fsdp: 32
I0424 07:43:45.522083 133699333535552 maxtext_utils.py:1707]  params/params/decoder/decoder_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.522214 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.522265 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.522319 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.522358 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.522392 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.522442 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.522490 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.522528 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_0/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.522561 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.522595 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.522627 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.522673 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.522708 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.522739 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.522773 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.522804 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.522836 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_1/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.522868 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.522899 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.522929 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.522965 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.522994 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523022 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523052 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523083 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.523114 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_10/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.523144 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523174 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.523203 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.523231 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.523258 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523285 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523314 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523343 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.523371 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_11/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.523400 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523428 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.523457 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.523485 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.523512 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523539 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523568 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523596 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.523624 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_12/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.523665 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523696 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.523725 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.523760 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.523792 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523841 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.523883 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.523914 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.523943 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_13/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.523977 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524006 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524034 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524064 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.524090 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524117 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524146 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524174 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.524205 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_14/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.524235 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524264 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524293 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524321 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.524348 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524374 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524403 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524431 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.524460 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_15/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.524488 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524517 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524547 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524576 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.524603 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524631 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524687 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524720 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.524751 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_2/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.524780 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524810 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524839 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.524868 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.524895 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524922 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.524956 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.524985 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.525015 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_3/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.525043 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525071 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525099 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525127 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.525154 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525180 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525208 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525236 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.525265 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_4/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.525294 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525323 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525351 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525380 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.525407 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525433 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525461 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525489 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.525518 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_5/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.525547 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525574 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525603 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525630 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.525667 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525696 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525725 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525753 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.525782 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_6/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.525811 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.525841 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525871 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.525900 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.525928 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525959 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.525988 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.526017 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.526046 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_7/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.526074 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.526103 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.526131 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.526159 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.526187 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.526214 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.526244 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.526274 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.526303 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_8/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.526332 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.526360 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.526389 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 07:43:45.526422 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 07:43:45.526450 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.526476 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 07:43:45.526504 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.526532 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 07:43:45.526561 133699333535552 maxtext_utils.py:1707]  params/params/decoder/layers_9/self_attention/query/kernel
    Shape:     float32[2048,16,128]
    Logical:   P('embed', 'q_heads', 'kv')
    Physical:  ('fsdp', None, None)
I0424 07:43:45.526589 133699333535552 maxtext_utils.py:1707]  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)
I0424 07:43:45.526636 133699333535552 maxtext_utils.py:1707]  params/params/decoder/logits_dense/kernel
    Shape:     float32[2048,32000]
    Logical:   P('embed_vocab', 'vocab')
    Physical:  ('fsdp', None)
I0424 07:43:45.526690 133699333535552 maxtext_utils.py:1707]  params/params/token_embedder/embedding

    Shape:     float32[32000,2048]
    Logical:   P('vocab', 'embed_vocab')
    Physical:  (None, 'fsdp')
I0424 07:43:50.086751 133699333535552 train.py:155] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0424 07:43:50.086842 133699333535552 train.py:155] train/xent Physical: float32[32,2048]............................................ ('fsdp', None).
I0424 07:43:50.102612 133699333535552 train.py:162] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0424 07:43:50.102682 133699333535552 train.py:162] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None).
I0424 07:44:46.885870 133699333535552 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.
I0424 07:44:46.887066 133699333535552 metric_logger.py:301] number parameters: 1.104 billion
I0424 07:45:47.711523 133699333535552 checkpointing.py:772] Waiting for step 0 to finish before checkpoint...
I0424 07:45:47.949041 133699333535552 checkpointing.py:776] Waited 0.23749637603759766 seconds for step 0 to finish before starting checkpointing.
I0424 07:45:47.952926 133699333535552 checkpoint_manager.py:2009] [process=5][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 07:45:47.954821 133699333535552 checkpoint_manager.py:1512] [process=5] Saving checkpoint at step 0
I0424 07:45:47.956431 133699333535552 event_tracking.py:70] [process=5] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints/0.
I0424 07:45:48.309243 133699333535552 signaling_client.py:364] Using JaxDistributedSignalingClient
I0424 07:45:48.310277 133699333535552 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0424 07:45:48.310403 133699333535552 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
I0424 07:45:48.614904 133699333535552 base_pytree_checkpoint_handler.py:154] [process=5][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.306249s
I0424 07:45:48.615083 133699333535552 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/blocking_gbytes_per_sec: 4.541 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.3397238254547119 s) (per-host)
I0424 07:45:48.615134 133699333535552 base_pytree_checkpoint_handler.py:768] [process=5][thread=MainThread] Initiated Pytree async_save. Time taken: 0.339784s (batch_requests_ready=0.016798s, total_serialization_initiated=0.322918s, others=0.000068s)
I0424 07:45:48.615382 133699333535552 composite_checkpoint_handler.py:715] [process=5][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.344175s (all_items=0.000020s, per_item={'items': '0.00001955'}, temp_paths=0.344155)
I0424 07:45:48.616226 133699333535552 event_tracking.py:125] [process=5] [async] Finished blocking save in 0.66 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints/0.
I0424 07:45:48.616605 133573403571968 async_checkpointer.py:76] [process=5][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-24 08:05:48.616566
I0424 07:45:48.659873 133699333535552 checkpoint_manager.py:1560] [process=5][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 07:45:48.660251 133573376288512 async_checkpointer.py:280] [process=5][thread=save_finalize] Waiting for background save thread=async_save.
I0424 07:45:48.660411 133699333535552 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777016747.952907, 'wait_for_prev_duration_secs': 6.437301635742188e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777016747.95486, 'checkpointer_blocking_duration_secs': 0.661959171295166, 'get_old_steps_start_time': 1777016748.6168456, 'get_old_steps_duration_secs': 3.0517578125e-05, 'checkpoint_manager_blocking_start_time': 1777016747.9505482, 'checkpoint_manager_blocking_duration_secs': 0.7098245620727539}
I0424 07:45:48.660601 133699333535552 checkpointing.py:408] Started an asynchronous checkpoint save for step 0
I0424 07:45:48.660670 133699333535552 max_utils.py:750] 
Memstats: After params initialized:
I0424 07:45:48.660719 133699333535552 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_18(process=5,(2,4,0,0))
I0424 07:45:48.660753 133699333535552 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_19(process=5,(3,4,0,0))
I0424 07:45:48.660784 133699333535552 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_22(process=5,(2,5,0,0))
I0424 07:45:48.660807 133699333535552 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_23(process=5,(3,5,0,0))
I0424 07:45:49.008773 133699333535552 metric_logger.py:196] completed step: 0, seconds: 60.824, TFLOP/s/device: 0.223, Tokens/s/device: 33.671, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0424 07:45:49.185976 133699333535552 metric_logger.py:196] completed step: 1, seconds: 1.289, TFLOP/s/device: 10.542, Tokens/s/device: 1589.020, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0424 07:45:49.616733 133699333535552 metric_logger.py:196] completed step: 2, seconds: 0.049, TFLOP/s/device: 275.294, Tokens/s/device: 41495.289, total_weights: 65536, loss: 10.268, lm_loss: 10.268, perplexity: 28797.213
I0424 07:45:49.757417 133699333535552 metric_logger.py:196] completed step: 3, seconds: 0.431, TFLOP/s/device: 31.505, Tokens/s/device: 4748.842, total_weights: 65536, loss: 9.741, lm_loss: 9.741, perplexity: 17000.262
I0424 07:45:50.037450 133699333535552 metric_logger.py:196] completed step: 4, seconds: 0.143, TFLOP/s/device: 95.240, Tokens/s/device: 14355.610, total_weights: 65536, loss: 9.285, lm_loss: 9.285, perplexity: 10779.323
I0424 07:45:50.048485 133699333535552 metric_logger.py:196] completed step: 5, seconds: 0.140, TFLOP/s/device: 96.920, Tokens/s/device: 14608.849, total_weights: 65536, loss: 8.900, lm_loss: 8.900, perplexity: 7335.285
I0424 07:45:51.864443    2768 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0424 07:45:53.950751 133573384681216 array_metadata_store.py:203] [process=5][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_5
I0424 07:46:14.002812 133699333535552 metric_logger.py:196] completed step: 6, seconds: 0.281, TFLOP/s/device: 48.300, Tokens/s/device: 7280.302, total_weights: 65536, loss: 8.602, lm_loss: 8.602, perplexity: 5440.390
I0424 07:46:14.141833 133699333535552 metric_logger.py:196] completed step: 7, seconds: 23.822, TFLOP/s/device: 0.570, Tokens/s/device: 85.969, total_weights: 65536, loss: 8.394, lm_loss: 8.394, perplexity: 4418.604
I0424 07:46:14.279134 133699333535552 metric_logger.py:196] completed step: 8, seconds: 0.142, TFLOP/s/device: 95.743, Tokens/s/device: 14431.479, total_weights: 65536, loss: 8.264, lm_loss: 8.264, perplexity: 3882.855
I0424 07:46:14.415261 133699333535552 checkpointing.py:772] Waiting for step 9 to finish before checkpoint...
I0424 07:46:14.418719 133699333535552 checkpointing.py:776] Waited 0.0034744739532470703 seconds for step 9 to finish before starting checkpointing.
I0424 07:46:14.421353 133699333535552 checkpoint_manager.py:2020] [process=5][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 07:46:21.630938 133573403571968 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/gbytes_per_sec: 47.356 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 33.355538845062256 s) (per-host)
I0424 07:46:21.631071 133573403571968 async_checkpointer.py:90] [process=5][thread=async_save] 3 Handler Commit operations completed. Time taken: 33.014289s.
I0424 07:46:31.042793 133573403571968 async_checkpointer.py:160] [process=5][thread=async_save] Background save thread done. Time taken: 42.425997s.
I0424 07:46:31.043078 133573376288512 async_checkpointer.py:288] [process=5][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 07:46:31.043241 133573376288512 async_checkpointer.py:298] [process=5][thread=save_finalize] No errors found in background save thread=async_save.
I0424 07:46:31.043301 133573376288512 checkpoint_manager.py:2137] [process=5][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts...
I0424 07:46:31.045552 133573376288512 checkpoint_manager.py:2146] [process=5][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts.
I0424 07:46:31.045767 133699333535552 checkpoint_manager.py:2032] [process=5][thread=MainThread][step=0][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=0.
W0424 07:46:31.045924 133699333535552 checkpoint_manager.py:1452] Waiting for previous save to complete took 16.624571 seconds. If this number is high, consider checkpointing less frequently.
I0424 07:46:31.048717 133699333535552 checkpoint_manager.py:1512] [process=5] Saving checkpoint at step 9
I0424 07:46:31.050873 133699333535552 event_tracking.py:70] [process=5] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints/9.
I0424 07:46:31.380016 133699333535552 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0424 07:46:31.380617 133699333535552 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
I0424 07:46:31.507238 133699333535552 base_pytree_checkpoint_handler.py:154] [process=5][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.128628s
I0424 07:46:31.507400 133699333535552 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/blocking_gbytes_per_sec: 9.616 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.16042518615722656 s) (per-host)
I0424 07:46:31.507450 133699333535552 base_pytree_checkpoint_handler.py:768] [process=5][thread=MainThread] Initiated Pytree async_save. Time taken: 0.160484s (batch_requests_ready=0.016019s, total_serialization_initiated=0.144398s, others=0.000066s)
I0424 07:46:31.507755 133699333535552 composite_checkpoint_handler.py:715] [process=5][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.164935s (all_items=0.000017s, per_item={'items': '0.00001669'}, temp_paths=0.164918)
I0424 07:46:31.508531 133699333535552 event_tracking.py:125] [process=5] [async] Finished blocking save in 0.46 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints/9.
I0424 07:46:31.508934 133573376288512 async_checkpointer.py:76] [process=5][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-24 08:06:31.508897
I0424 07:46:31.519488 133699333535552 checkpoint_manager.py:1560] [process=5][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 07:46:31.519797 133573273184000 async_checkpointer.py:280] [process=5][thread=save_finalize] Waiting for background save thread=async_save.
I0424 07:46:31.519954 133699333535552 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777016774.4213216, 'wait_for_prev_duration_secs': 16.624570846557617, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777016791.0487554, 'checkpointer_blocking_duration_secs': 0.4603233337402344, 'get_old_steps_start_time': 1777016791.5091026, 'get_old_steps_duration_secs': 3.0994415283203125e-05, 'checkpoint_manager_blocking_start_time': 1777016774.4195893, 'checkpoint_manager_blocking_duration_secs': 17.10032868385315}
I0424 07:46:31.520170 133699333535552 checkpointing.py:408] Started an asynchronous checkpoint save for step 9
I0424 07:46:31.520219 133699333535552 checkpoint_manager.py:2020] [process=5][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 07:46:37.015066 133573384681216 array_metadata_store.py:203] [process=5][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_main_20260424_070227/linen_xpk_main_20260424_070227_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_5
I0424 07:47:13.691683 133573376288512 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/gbytes_per_sec: 37.303 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 42.34465575218201 s) (per-host)
I0424 07:47:13.691796 133573376288512 async_checkpointer.py:90] [process=5][thread=async_save] 3 Handler Commit operations completed. Time taken: 42.182746s.
I0424 07:47:21.109174 133573376288512 async_checkpointer.py:160] [process=5][thread=async_save] Background save thread done. Time taken: 49.600111s.
I0424 07:47:21.109472 133573273184000 async_checkpointer.py:288] [process=5][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 07:47:21.109598 133573273184000 async_checkpointer.py:298] [process=5][thread=save_finalize] No errors found in background save thread=async_save.
I0424 07:47:21.109648 133573273184000 checkpoint_manager.py:2137] [process=5][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts...
I0424 07:47:21.112200 133573273184000 checkpoint_manager.py:2146] [process=5][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts.
I0424 07:47:21.112384 133699333535552 checkpoint_manager.py:2032] [process=5][thread=MainThread][step=9][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=9.
I0424 07:47:21.112529 133699333535552 checkpoint_manager.py:2009] [process=5][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 07:47:21.113527 133699333535552 metric_logger.py:196] completed step: 9, seconds: 0.139, TFLOP/s/device: 97.701, Tokens/s/device: 14726.609, total_weights: 65536, loss: 8.188, lm_loss: 8.188, perplexity: 3598.748
Per train step:
 Total TFLOPs: 13.59 
 split as 93.93% learnable weight flops and 6.07% attention flops
XPK End: Fri Apr 24 07:47:34 UTC 2026
EXIT_CODE=0