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XPK Start: Fri Apr 24 12:40:26 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 12:40:51.749543: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)
I0424 12:40:51.962383 133986323699520 max_utils.py:273] Attempting to initialize the jax distributed system...
I0424 12:41:01.002734 133986323699520 distributed.py:149] Starting JAX distributed service on [::]:8482
I0424 12:41:01.007226 133986323699520 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-926jw-slice-job-0-0.mt-13-scan-layers-false-926jw:8482
I0424 12:41:02.060343 133986323699520 max_utils.py:284] Jax distributed system initialized!
I0424 12:41:08.227141 133986323699520 max_utils.py:800] System Information: Jax Version: 0.9.2
I0424 12:41:08.227248 133986323699520 max_utils.py:801] System Information: Jaxlib Version: 0.9.2
I0424 12:41:08.227289 133986323699520 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 12:41:08.227327 133986323699520 train_utils.py:391] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing.
I0424 12:41:08.923799 133986323699520 maxtext_utils.py:1771] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0424 12:41:08.924391 133986323699520 maxtext_utils.py:1771] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0424 12:41:08.924575 133986323699520 checkpointing.py:688] Setting up checkpoint logger...
I0424 12:41:08.924626 133986323699520 checkpointing.py:234] Creating checkpoint manager with ocdbt=True and zarr3=True
I0424 12:41:08.924686 133986323699520 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None
I0424 12:41:08.925036 133986323699520 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 0x79db7e51d520>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0424 12:41:11.856689 133986323699520 checkpointing.py:266] Enabling policy for fixed interval checkpointing.
I0424 12:41:11.856924 133986323699520 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 0x79c72022abd0>}, handler_registry=None
I0424 12:41:11.857176 133986323699520 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x79c72022abd0>` 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 12:41:11.857226 133986323699520 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x79c72022e4b0>` for item "metrics" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0424 12:41:11.857263 133986323699520 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 0x79c72022abd0>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x79c72022abd0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x79c72022e4b0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x79c72022e4b0>}).
I0424 12:41:11.857586 133986323699520 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34
I0424 12:41:11.857667 133986323699520 async_checkpointer.py:192] [process=5][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x79c614575e40> timeout: 1200 secs and primary_host=0 for async checkpoint writes
I0424 12:41:12.583392 133986323699520 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints
I0424 12:41:12.822291 133986323699520 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_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x79c7202287a0>
I0424 12:41:12.822458 133986323699520 checkpointing.py:302] Checkpoint manager created!
I0424 12:41:13.772323 133986323699520 nnx_wrappers.py:437] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed').
I0424 12:41:13.772428 133986323699520 nnx_wrappers.py:437] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 12:41:14.153622 133986323699520 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0424 12:41:14.153727 133986323699520 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 12:41:14.169928 133986323699520 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0424 12:41:14.169988 133986323699520 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 12:41:14.199877 133986323699520 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 12:41:14.199949 133986323699520 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 12:41:14.216284 133986323699520 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 12:41:14.216347 133986323699520 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 12:41:14.232442 133986323699520 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 12:41:14.232500 133986323699520 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 12:41:14.261087 133986323699520 attentions.py:1198] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch', 'activation_attn_length', 'activation_heads', 'activation_kv').
I0424 12:41:14.261156 133986323699520 attentions.py:1198] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 12:41:14.283176 133986323699520 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp').
I0424 12:41:14.283241 133986323699520 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None).
I0424 12:41:17.209014 133986323699520 checkpointing.py:578] checkpoint manager exists so trying to load this run's existing checkpoint
I0424 12:41:17.209140 133986323699520 checkpointing.py:676] No existing checkpoints found, not restoring checkpoint.
fsdp: 32
I0424 12:41:24.526137 133986323699520 maxtext_utils.py:1880]  params/params/decoder/decoder_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.526273 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_0/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.526328 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_0/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.526385 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_0/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.526427 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_0/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.526463 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_0/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.526515 133986323699520 maxtext_utils.py:1880]  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 12:41:24.526566 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_0/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.526605 133986323699520 maxtext_utils.py:1880]  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 12:41:24.526641 133986323699520 maxtext_utils.py:1880]  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 12:41:24.526695 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_1/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.526733 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_1/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.526770 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_1/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.526804 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_1/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.526837 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_1/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.526871 133986323699520 maxtext_utils.py:1880]  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 12:41:24.526906 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_1/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.526940 133986323699520 maxtext_utils.py:1880]  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 12:41:24.526977 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527013 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_10/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527045 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_10/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527077 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_10/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.527106 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_10/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.527135 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_10/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.527168 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527201 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_10/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.527233 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527264 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527295 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_11/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527325 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_11/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527355 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_11/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.527384 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_11/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.527412 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_11/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.527442 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527473 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_11/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.527503 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527534 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527563 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_12/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527600 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_12/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527634 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_12/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.527701 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_12/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.527756 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_12/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.527795 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527828 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_12/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.527860 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527891 133986323699520 maxtext_utils.py:1880]  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 12:41:24.527921 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_13/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527951 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_13/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.527984 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_13/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.528014 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_13/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528042 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_13/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528073 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528102 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_13/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.528132 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528162 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528192 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_14/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.528221 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_14/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.528251 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_14/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.528279 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_14/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528306 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_14/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528336 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528366 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_14/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.528395 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528424 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528454 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_15/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.528483 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_15/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.528512 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_15/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.528539 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_15/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528567 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_15/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528596 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528626 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_15/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.528667 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528699 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528729 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_2/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.528759 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_2/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.528789 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_2/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.528817 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_2/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528845 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_2/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.528876 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528907 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_2/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.528938 133986323699520 maxtext_utils.py:1880]  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 12:41:24.528967 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529001 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_3/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529030 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_3/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529060 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_3/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.529088 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_3/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529116 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_3/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529146 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529178 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_3/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.529208 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529237 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529267 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_4/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529296 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_4/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529325 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_4/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.529353 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_4/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529381 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_4/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529410 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529439 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_4/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.529469 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529500 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529528 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_5/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529557 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_5/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529587 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_5/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.529614 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_5/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529641 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_5/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529681 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529712 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_5/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.529742 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529772 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529801 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_6/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529830 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_6/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.529859 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_6/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.529886 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_6/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529914 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_6/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.529943 133986323699520 maxtext_utils.py:1880]  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 12:41:24.529976 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_6/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.530007 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530036 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530065 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_7/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.530094 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_7/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.530123 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_7/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.530151 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_7/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.530179 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_7/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.530210 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530240 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_7/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.530272 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530302 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530331 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_8/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.530361 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_8/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.530390 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_8/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.530418 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_8/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.530445 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_8/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.530474 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530504 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_8/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.530534 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530564 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530592 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_9/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.530622 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_9/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 12:41:24.530663 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_9/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 12:41:24.530693 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_9/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.530721 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_9/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 12:41:24.530751 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530780 133986323699520 maxtext_utils.py:1880]  params/params/decoder/layers_9/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 12:41:24.530810 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530840 133986323699520 maxtext_utils.py:1880]  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 12:41:24.530889 133986323699520 maxtext_utils.py:1880]  params/params/decoder/logits_dense/kernel
    Shape:     float32[2048,32000]
    Logical:   P('embed_vocab', 'vocab')
    Physical:  ('fsdp', None)
I0424 12:41:24.530934 133986323699520 maxtext_utils.py:1880]  params/params/token_embedder/embedding
    Shape:     float32[32000,2048]
    Logical:   P('vocab', 'embed_vocab')
    Physical:  (None, 'fsdp')

I0424 12:41:29.207806 133986323699520 train.py:157] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0424 12:41:29.207898 133986323699520 train.py:157] train/xent Physical: float32[32,2048]............................................ ('fsdp', None).
I0424 12:41:29.223340 133986323699520 train.py:164] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0424 12:41:29.223399 133986323699520 train.py:164] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None).
I0424 12:42:25.900856 133986323699520 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 12:42:25.902064 133986323699520 metric_logger.py:301] number parameters: 1.104 billion
I0424 12:43:27.163511 133986323699520 checkpointing.py:794] Waiting for step 0 to finish before checkpoint...
I0424 12:43:27.403886 133986323699520 checkpointing.py:798] Waited 0.2403554916381836 seconds for step 0 to finish before starting checkpointing.
I0424 12:43:27.406849 133986323699520 checkpoint_manager.py:2009] [process=5][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 12:43:27.408812 133986323699520 checkpoint_manager.py:1512] [process=5] Saving checkpoint at step 0
I0424 12:43:27.410238 133986323699520 event_tracking.py:70] [process=5] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints/0.
I0424 12:43:27.729316 133986323699520 signaling_client.py:364] Using JaxDistributedSignalingClient
I0424 12:43:27.730414 133986323699520 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0424 12:43:27.730537 133986323699520 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 12:43:28.035127 133986323699520 base_pytree_checkpoint_handler.py:154] [process=5][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.306303s
I0424 12:43:28.035300 133986323699520 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/blocking_gbytes_per_sec: 4.547 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.33927106857299805 s) (per-host)
I0424 12:43:28.035352 133986323699520 base_pytree_checkpoint_handler.py:768] [process=5][thread=MainThread] Initiated Pytree async_save. Time taken: 0.339333s (batch_requests_ready=0.016635s, total_serialization_initiated=0.322628s, others=0.000069s)
I0424 12:43:28.035586 133986323699520 composite_checkpoint_handler.py:715] [process=5][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.343570s (all_items=0.000018s, per_item={'items': '0.00001788'}, temp_paths=0.343552)
I0424 12:43:28.036694 133986323699520 event_tracking.py:125] [process=5] [async] Finished blocking save in 0.63 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints/0.
I0424 12:43:28.036987 133857009460992 async_checkpointer.py:76] [process=5][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-24 13:03:28.036954
I0424 12:43:28.082741 133986323699520 checkpoint_manager.py:1560] [process=5][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 12:43:28.083083 133856984282880 async_checkpointer.py:280] [process=5][thread=save_finalize] Waiting for background save thread=async_save.
I0424 12:43:28.083243 133986323699520 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777034607.4068315, 'wait_for_prev_duration_secs': 5.8650970458984375e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777034607.4088523, 'checkpointer_blocking_duration_secs': 0.628288745880127, 'get_old_steps_start_time': 1777034608.0371678, 'get_old_steps_duration_secs': 2.956390380859375e-05, 'checkpoint_manager_blocking_start_time': 1777034607.4051487, 'checkpoint_manager_blocking_duration_secs': 0.6780548095703125}
I0424 12:43:28.083449 133986323699520 checkpointing.py:409] Started an asynchronous checkpoint save for step 0
I0424 12:43:28.083502 133986323699520 max_utils.py:750] 
Memstats: After params initialized:
I0424 12:43:28.083557 133986323699520 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_18(process=5,(2,4,0,0))
I0424 12:43:28.083590 133986323699520 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_19(process=5,(3,4,0,0))
I0424 12:43:28.083618 133986323699520 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_22(process=5,(2,5,0,0))
I0424 12:43:28.083641 133986323699520 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_23(process=5,(3,5,0,0))
I0424 12:43:28.462260 133986323699520 metric_logger.py:196] completed step: 0, seconds: 61.261, TFLOP/s/device: 0.222, Tokens/s/device: 33.431, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0424 12:43:28.593868 133986323699520 metric_logger.py:196] completed step: 1, seconds: 1.290, TFLOP/s/device: 10.535, Tokens/s/device: 1587.987, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0424 12:43:29.008423 133986323699520 metric_logger.py:196] completed step: 2, seconds: 0.015, TFLOP/s/device: 909.751, Tokens/s/device: 137127.553, total_weights: 65536, loss: 10.268, lm_loss: 10.268, perplexity: 28794.795
I0424 12:43:29.147648 133986323699520 metric_logger.py:196] completed step: 3, seconds: 0.405, TFLOP/s/device: 33.567, Tokens/s/device: 5059.651, total_weights: 65536, loss: 9.741, lm_loss: 9.741, perplexity: 16999.723
I0424 12:43:29.424188 133986323699520 metric_logger.py:196] completed step: 4, seconds: 0.143, TFLOP/s/device: 95.318, Tokens/s/device: 14367.292, total_weights: 65536, loss: 9.285, lm_loss: 9.285, perplexity: 10779.501
I0424 12:43:29.436292 133986323699520 metric_logger.py:196] completed step: 5, seconds: 0.139, TFLOP/s/device: 97.703, Tokens/s/device: 14726.926, total_weights: 65536, loss: 8.901, lm_loss: 8.901, perplexity: 7335.804
I0424 12:43:30.942985    2843 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0424 12:43:33.043780 133856992675584 array_metadata_store.py:203] [process=5][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_5
I0424 12:43:53.137697 133986323699520 metric_logger.py:196] completed step: 6, seconds: 0.278, TFLOP/s/device: 48.882, Tokens/s/device: 7368.020, total_weights: 65536, loss: 8.602, lm_loss: 8.602, perplexity: 5440.951
I0424 12:43:53.273970 133986323699520 metric_logger.py:196] completed step: 7, seconds: 23.570, TFLOP/s/device: 0.576, Tokens/s/device: 86.890, total_weights: 65536, loss: 8.393, lm_loss: 8.393, perplexity: 4418.251
I0424 12:43:53.409976 133986323699520 metric_logger.py:196] completed step: 8, seconds: 0.142, TFLOP/s/device: 95.515, Tokens/s/device: 14396.986, total_weights: 65536, loss: 8.264, lm_loss: 8.264, perplexity: 3882.806
I0424 12:43:53.560733 133986323699520 checkpointing.py:794] Waiting for step 9 to finish before checkpoint...
I0424 12:43:53.571851 133986323699520 checkpointing.py:798] Waited 0.01112985610961914 seconds for step 9 to finish before starting checkpointing.
I0424 12:43:53.582933 133986323699520 checkpoint_manager.py:2020] [process=5][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 12:44:00.930218 133857009460992 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/gbytes_per_sec: 47.529 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 33.23412847518921 s) (per-host)
I0424 12:44:00.930365 133857009460992 async_checkpointer.py:90] [process=5][thread=async_save] 3 Handler Commit operations completed. Time taken: 32.893263s.
I0424 12:44:10.253197 133857009460992 async_checkpointer.py:160] [process=5][thread=async_save] Background save thread done. Time taken: 42.216082s.
I0424 12:44:10.253458 133856984282880 async_checkpointer.py:288] [process=5][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 12:44:10.253581 133856984282880 async_checkpointer.py:298] [process=5][thread=save_finalize] No errors found in background save thread=async_save.
I0424 12:44:10.253633 133856984282880 checkpoint_manager.py:2137] [process=5][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts...
I0424 12:44:10.255100 133856984282880 checkpoint_manager.py:2146] [process=5][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts.
I0424 12:44:10.255282 133986323699520 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 12:44:10.255419 133986323699520 checkpoint_manager.py:1452] Waiting for previous save to complete took 16.672491 seconds. If this number is high, consider checkpointing less frequently.
I0424 12:44:10.258246 133986323699520 checkpoint_manager.py:1512] [process=5] Saving checkpoint at step 9
I0424 12:44:10.260238 133986323699520 event_tracking.py:70] [process=5] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints/9.
I0424 12:44:10.992489 133986323699520 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0424 12:44:10.993168 133986323699520 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 12:44:11.114186 133986323699520 base_pytree_checkpoint_handler.py:154] [process=5][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.123102s
I0424 12:44:11.114344 133986323699520 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/blocking_gbytes_per_sec: 9.932 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.15530776977539062 s) (per-host)
I0424 12:44:11.114394 133986323699520 base_pytree_checkpoint_handler.py:768] [process=5][thread=MainThread] Initiated Pytree async_save. Time taken: 0.155365s (batch_requests_ready=0.016280s, total_serialization_initiated=0.139020s, others=0.000065s)
I0424 12:44:11.114695 133986323699520 composite_checkpoint_handler.py:715] [process=5][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.159776s (all_items=0.000016s, per_item={'items': '0.00001621'}, temp_paths=0.159760)
I0424 12:44:11.115436 133986323699520 event_tracking.py:125] [process=5] [async] Finished blocking save in 0.86 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints/9.
I0424 12:44:11.116024 133856984282880 async_checkpointer.py:76] [process=5][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-24 13:04:11.115986
I0424 12:44:11.133482 133986323699520 checkpoint_manager.py:1560] [process=5][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 12:44:11.133753 133856472590080 async_checkpointer.py:280] [process=5][thread=save_finalize] Waiting for background save thread=async_save.
I0424 12:44:11.133885 133986323699520 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777034633.5828977, 'wait_for_prev_duration_secs': 16.6724910736084, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777034650.2582862, 'checkpointer_blocking_duration_secs': 0.8578791618347168, 'get_old_steps_start_time': 1777034651.11619, 'get_old_steps_duration_secs': 3.0994415283203125e-05, 'checkpoint_manager_blocking_start_time': 1777034633.5728345, 'checkpoint_manager_blocking_duration_secs': 17.561017513275146}
I0424 12:44:11.134084 133986323699520 checkpointing.py:409] Started an asynchronous checkpoint save for step 9
I0424 12:44:11.134133 133986323699520 checkpoint_manager.py:2020] [process=5][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 12:44:16.306156 133856992675584 array_metadata_store.py:203] [process=5][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_feat_nnx_post_train_fixes_20260424_120657/linen_xpk_feat_nnx_post_train_fixes_20260424_120657_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_5
I0424 12:44:53.959311 133856984282880 base_pytree_checkpoint_handler.py:130] [process=5] /jax/orbax/write/gbytes_per_sec: 36.735 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 43.00024104118347 s) (per-host)
I0424 12:44:53.959423 133856984282880 async_checkpointer.py:90] [process=5][thread=async_save] 3 Handler Commit operations completed. Time taken: 42.843287s.
I0424 12:45:01.311744 133856984282880 async_checkpointer.py:160] [process=5][thread=async_save] Background save thread done. Time taken: 50.195593s.
I0424 12:45:01.312017 133856472590080 async_checkpointer.py:288] [process=5][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 12:45:01.312142 133856472590080 async_checkpointer.py:298] [process=5][thread=save_finalize] No errors found in background save thread=async_save.
I0424 12:45:01.312194 133856472590080 checkpoint_manager.py:2137] [process=5][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts...
I0424 12:45:01.313999 133856472590080 checkpoint_manager.py:2146] [process=5][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts.
I0424 12:45:01.314194 133986323699520 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 12:45:01.314347 133986323699520 checkpoint_manager.py:2009] [process=5][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 12:45:01.315222 133986323699520 metric_logger.py:196] completed step: 9, seconds: 0.136, TFLOP/s/device: 99.841, Tokens/s/device: 15049.086, total_weights: 65536, loss: 8.188, lm_loss: 8.188, perplexity: 3598.983
Per train step:
 Total TFLOPs: 13.59 
 split as 93.93% learnable weight flops and 6.07% attention flops
XPK End: Fri Apr 24 12:45:12 UTC 2026
EXIT_CODE=0