Compare: 13_scan_layers_false

Metric	main `b117f50cf`	test/pipeline-scan-nnx `5b21b66fc`	Diff (test/pipeline-scan-nnx − main)
Parameters	1.104 billion	1.104 billion	—
Final loss	8.1880	8.1880	0
TFLOP/s	97.701	99.727	+2.026
Tok/s	14726.6	15032.0	+305.356
Avg s/step	2.937	2.984	+0.047
Memory %	2.62	2.62	0
JAX	0.9.2	0.9.2	—

Field	main	test/pipeline-scan-nnx
JAX	0.9.2	0.9.2
Jaxlib	0.9.2	0.9.2
Hardware	PJRT C API / TFRT TPU v6 lite	PJRT C API / TFRT TPU v6 lite
Devices	32	32

Field	main	test/pipeline-scan-nnx
Total	1.8 GB	1.8 GB
Output	0.4 GB	0.4 GB
Temp	1.5 GB	1.5 GB
Argument	0.4 GB	0.4 GB

Device	Used (GB)	Total (GB)	%
TPU_18(process=5,(2,4,0,0))	0.82	31.25	2.6%
TPU_19(process=5,(3,4,0,0))	0.82	31.25	2.6%
TPU_22(process=5,(2,5,0,0))	0.82	31.25	2.6%
TPU_23(process=5,(3,5,0,0))	0.82	31.25	2.6%

Device	Used (GB)	Total (GB)	%
TPU_24(process=6,(0,6,0,0))	0.82	31.25	2.6%
TPU_25(process=6,(1,6,0,0))	0.82	31.25	2.6%
TPU_28(process=6,(0,7,0,0))	0.82	31.25	2.6%
TPU_29(process=6,(1,7,0,0))	0.82	31.25	2.6%

Step	main Loss	test/pipeline-scan-nnx Loss	main TFLOP/s	test/pipeline-scan-nnx TFLOP/s	TFLOP/s Δ
0	10.877	10.877	0.223	0.222	-0.0010
1	10.877	10.877	10.542	10.493	-0.0490
2	10.268	10.268	275.294	471.399	+196.1050
3	9.741	9.741	31.505	30.310	-1.1950
4	9.285	9.285	95.240	95.476	+0.2360
5	8.900	8.900	96.920	97.148	+0.2280
6	8.602	8.602	48.300	48.309	+0.0090
7	8.394	8.394	0.570	0.560	-0.0100
8	8.264	8.264	95.743	95.571	-0.1720
9	8.188	8.188	97.701	99.727	+2.0260

main · b117f50cf · main_20260424_070227 · full log

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

test/pipeline-scan-nnx · 5b21b66fc · test_pipeline_scan_nnx_20260424_200834 · full log

XPK Start: Fri Apr 24 20:46:36 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 20:47:01.503984: 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 20:47:01.716674 135913826645824 max_utils.py:273] Attempting to initialize the jax distributed system...
I0424 20:47:10.757078 135913826645824 distributed.py:149] Starting JAX distributed service on [::]:8482
I0424 20:47:10.759390 135913826645824 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-ux1og-slice-job-0-0.mt-13-scan-layers-false-ux1og:8482
I0424 20:47:11.682171 135913826645824 max_utils.py:284] Jax distributed system initialized!
I0424 20:47:16.768639 135913826645824 max_utils.py:800] System Information: Jax Version: 0.9.2
I0424 20:47:16.768746 135913826645824 max_utils.py:801] System Information: Jaxlib Version: 0.9.2
I0424 20:47:16.768786 135913826645824 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 20:47:16.768821 135913826645824 train_utils.py:361] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing.
I0424 20:47:17.465441 135913826645824 maxtext_utils.py:1565] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0424 20:47:17.465723 135913826645824 checkpointing.py:677] Setting up checkpoint logger...
I0424 20:47:17.465777 135913826645824 checkpointing.py:233] Creating checkpoint manager with ocdbt=True and zarr3=True
I0424 20:47:17.465821 135913826645824 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None
I0424 20:47:17.466165 135913826645824 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 0x7b9c4b718110>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0424 20:47:20.345436 135913826645824 checkpointing.py:265] Enabling policy for fixed interval checkpointing.
I0424 20:47:20.345677 135913826645824 checkpoint_manager.py:708] [process=6][thread=MainThread] CheckpointManager init: checkpointers=None, item_names=('items',), item_handlers={'items': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7b87e4523740>}, handler_registry=None
I0424 20:47:20.345915 135913826645824 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7b87e4523740>` 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 20:47:20.345965 135913826645824 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7b87e4335a90>` 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 20:47:20.346003 135913826645824 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 0x7b87e4523740>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7b87e4523740>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7b87e4335a90>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7b87e4335a90>}).
I0424 20:47:20.346344 135913826645824 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34
I0424 20:47:20.346416 135913826645824 async_checkpointer.py:192] [process=6][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7b87e41832e0> timeout: 1200 secs and primary_host=0 for async checkpoint writes
I0424 20:47:21.344081 135913826645824 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints
I0424 20:47:21.397190 135913826645824 checkpoint_manager.py:929] [process=6][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_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7b87e43313d0>
I0424 20:47:21.397346 135913826645824 checkpointing.py:301] Checkpoint manager created!
I0424 20:47:22.339065 135913826645824 nnx_wrappers.py:453] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed').
I0424 20:47:22.339197 135913826645824 nnx_wrappers.py:453] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 20:47:22.725020 135913826645824 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0424 20:47:22.725125 135913826645824 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 20:47:22.741428 135913826645824 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0424 20:47:22.741496 135913826645824 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0424 20:47:22.771027 135913826645824 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 20:47:22.771110 135913826645824 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 20:47:22.787567 135913826645824 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 20:47:22.787629 135913826645824 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 20:47:22.803832 135913826645824 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 20:47:22.803895 135913826645824 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 20:47:22.832925 135913826645824 attentions.py:1198] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch', 'activation_attn_length', 'activation_heads', 'activation_kv').
I0424 20:47:22.832999 135913826645824 attentions.py:1198] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0424 20:47:22.854607 135913826645824 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp').
I0424 20:47:22.854673 135913826645824 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None).
I0424 20:47:25.746048 135913826645824 checkpointing.py:577] checkpoint manager exists so trying to load this run's existing checkpoint
I0424 20:47:25.746192 135913826645824 checkpointing.py:665] No existing checkpoints found, not restoring checkpoint.
fsdp: 32
I0424 20:47:33.034409 135913826645824 maxtext_utils.py:1668]  params/params/decoder/decoder_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.034543 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_0/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.034594 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_0/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.034650 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_0/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.034688 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_0/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.034723 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_0/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.034772 135913826645824 maxtext_utils.py:1668]  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 20:47:33.034822 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_0/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.034859 135913826645824 maxtext_utils.py:1668]  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 20:47:33.034893 135913826645824 maxtext_utils.py:1668]  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 20:47:33.034926 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_1/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.034957 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_1/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.034991 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_1/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.035021 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_1/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035052 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_1/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035084 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035130 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_1/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.035164 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035196 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035226 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_10/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.035261 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_10/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.035292 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_10/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.035320 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_10/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035348 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_10/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035381 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035412 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_10/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.035442 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035472 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035502 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_11/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.035531 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_11/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.035561 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_11/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.035589 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_11/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035617 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_11/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035647 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035677 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_11/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.035715 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035746 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035775 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_12/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.035804 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_12/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.035835 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_12/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.035863 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_12/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035893 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_12/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.035923 135913826645824 maxtext_utils.py:1668]  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 20:47:33.035953 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_12/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.035982 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036011 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036040 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_13/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036069 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_13/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036122 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_13/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.036156 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_13/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036185 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_13/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036215 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036249 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_13/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.036280 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036310 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036339 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_14/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036368 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_14/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036396 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_14/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.036422 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_14/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036448 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_14/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036478 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036507 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_14/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.036535 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036565 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036594 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_15/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036622 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_15/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036650 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_15/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.036679 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_15/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036706 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_15/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036735 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036763 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_15/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.036792 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036821 135913826645824 maxtext_utils.py:1668]  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 20:47:33.036850 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_2/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036880 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_2/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.036910 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_2/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.036937 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_2/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036964 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_2/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.036993 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037021 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_2/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.037051 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037081 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037127 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_3/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037158 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_3/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037187 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_3/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.037214 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_3/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.037246 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_3/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.037274 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037303 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_3/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.037334 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037364 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037394 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_4/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037423 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_4/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037452 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_4/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.037478 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_4/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.037505 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_4/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.037534 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037563 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_4/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.037592 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037620 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037648 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_5/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037677 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_5/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037705 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_5/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.037732 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_5/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.037758 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_5/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.037785 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037814 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_5/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.037843 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037871 135913826645824 maxtext_utils.py:1668]  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 20:47:33.037900 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_6/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037928 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_6/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.037956 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_6/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.037983 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_6/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038010 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_6/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038039 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038068 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_6/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.038111 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038144 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038173 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_7/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.038202 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_7/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.038231 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_7/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.038262 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_7/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038290 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_7/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038319 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038348 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_7/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.038377 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038405 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038435 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_8/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.038464 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_8/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.038493 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_8/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.038519 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_8/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038546 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_8/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038575 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038603 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_8/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.038632 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038661 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038689 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_9/mlp/wi_0/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.038717 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_9/mlp/wi_1/kernel
    Shape:     float32[2048,7168]
    Logical:   P('embed', 'mlp')
    Physical:  ('fsdp', None)
I0424 20:47:33.038745 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_9/mlp/wo/kernel
    Shape:     float32[7168,2048]
    Logical:   P('mlp', 'embed')
    Physical:  (None, 'fsdp')
I0424 20:47:33.038772 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_9/post_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038798 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_9/pre_self_attention_layer_norm/scale
    Shape:     float32[2048]
    Logical:   P('norm',)
    Physical:  (None,)
I0424 20:47:33.038827 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038855 135913826645824 maxtext_utils.py:1668]  params/params/decoder/layers_9/self_attention/out/kernel
    Shape:     float32[16,128,2048]
    Logical:   P('heads', 'kv', 'embed')
    Physical:  (None, None, 'fsdp')
I0424 20:47:33.038884 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038913 135913826645824 maxtext_utils.py:1668]  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 20:47:33.038962 135913826645824 maxtext_utils.py:1668]  params/params/decoder/logits_dense/kernel
    Shape:     float32[2048,32000]
    Logical:   P('embed_vocab', 'vocab')
    Physical:  ('fsdp', None)
I0424 20:47:33.039006 135913826645824 maxtext_utils.py:1668]  params/params/token_embedder/embedding
    Shape:     float32[32000,2048]
    Logical:   P('vocab', 'embed_vocab')
    Physical:  (None, 'fsdp')

I0424 20:47:37.554798 135913826645824 train.py:155] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0424 20:47:37.554894 135913826645824 train.py:155] train/xent Physical: float32[32,2048]............................................ ('fsdp', None).
I0424 20:47:37.570528 135913826645824 train.py:162] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0424 20:47:37.570595 135913826645824 train.py:162] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None).
I0424 20:48:34.811434 135913826645824 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 20:48:34.812646 135913826645824 metric_logger.py:301] number parameters: 1.104 billion
I0424 20:49:36.121591 135913826645824 checkpointing.py:772] Waiting for step 0 to finish before checkpoint...
I0424 20:49:36.355361 135913826645824 checkpointing.py:776] Waited 0.23375153541564941 seconds for step 0 to finish before starting checkpointing.
I0424 20:49:36.359347 135913826645824 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 20:49:36.361233 135913826645824 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 0
I0424 20:49:36.362545 135913826645824 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints/0.
I0424 20:49:36.724981 135913826645824 signaling_client.py:364] Using JaxDistributedSignalingClient
I0424 20:49:36.726035 135913826645824 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0424 20:49:36.726171 135913826645824 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 20:49:37.021165 135913826645824 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.296693s
I0424 20:49:37.021329 135913826645824 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 4.671 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.3302786350250244 s) (per-host)
I0424 20:49:37.021377 135913826645824 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.330335s (batch_requests_ready=0.016949s, total_serialization_initiated=0.313322s, others=0.000065s)
I0424 20:49:37.021632 135913826645824 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.334685s (all_items=0.000017s, per_item={'items': '0.00001717'}, temp_paths=0.334668)
I0424 20:49:37.022465 135913826645824 event_tracking.py:125] [process=6] [async] Finished blocking save in 0.66 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints/0.
I0424 20:49:37.022838 135786480781056 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-24 21:09:37.022799
I0424 20:49:37.071197 135913826645824 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 20:49:37.071562 135785978255104 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save.
I0424 20:49:37.071735 135913826645824 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777063776.3593287, 'wait_for_prev_duration_secs': 6.270408630371094e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777063776.3612716, 'checkpointer_blocking_duration_secs': 0.661726713180542, 'get_old_steps_start_time': 1777063777.0230243, 'get_old_steps_duration_secs': 2.8371810913085938e-05, 'checkpoint_manager_blocking_start_time': 1777063776.3566473, 'checkpoint_manager_blocking_duration_secs': 0.7150483131408691}
I0424 20:49:37.071933 135913826645824 checkpointing.py:408] Started an asynchronous checkpoint save for step 0
I0424 20:49:37.071985 135913826645824 max_utils.py:750] 
Memstats: After params initialized:
I0424 20:49:37.072036 135913826645824 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_24(process=6,(0,6,0,0))
I0424 20:49:37.072068 135913826645824 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_25(process=6,(1,6,0,0))
I0424 20:49:37.072109 135913826645824 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_28(process=6,(0,7,0,0))
I0424 20:49:37.072135 135913826645824 max_utils.py:756] 	Using (GB) 0.82 / 31.25 (2.624000%) on TPU_29(process=6,(1,7,0,0))
I0424 20:49:37.425115 135913826645824 metric_logger.py:196] completed step: 0, seconds: 61.309, TFLOP/s/device: 0.222, Tokens/s/device: 33.405, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0424 20:49:37.581769 135913826645824 metric_logger.py:196] completed step: 1, seconds: 1.295, TFLOP/s/device: 10.493, Tokens/s/device: 1581.597, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0424 20:49:38.028892 135913826645824 metric_logger.py:196] completed step: 2, seconds: 0.029, TFLOP/s/device: 471.399, Tokens/s/device: 71054.366, total_weights: 65536, loss: 10.268, lm_loss: 10.268, perplexity: 28794.738
I0424 20:49:38.168996 135913826645824 metric_logger.py:196] completed step: 3, seconds: 0.448, TFLOP/s/device: 30.310, Tokens/s/device: 4568.675, total_weights: 65536, loss: 9.741, lm_loss: 9.741, perplexity: 16999.453
I0424 20:49:38.448895 135913826645824 metric_logger.py:196] completed step: 4, seconds: 0.142, TFLOP/s/device: 95.476, Tokens/s/device: 14391.118, total_weights: 65536, loss: 9.285, lm_loss: 9.285, perplexity: 10779.864
I0424 20:49:38.460798 135913826645824 metric_logger.py:196] completed step: 5, seconds: 0.140, TFLOP/s/device: 97.148, Tokens/s/device: 14643.215, total_weights: 65536, loss: 8.900, lm_loss: 8.900, perplexity: 7335.222
I0424 20:49:40.471998    2850 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0424 20:49:42.638869 135785986647808 array_metadata_store.py:203] [process=6][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_6
I0424 20:50:02.835503 135913826645824 metric_logger.py:196] completed step: 6, seconds: 0.281, TFLOP/s/device: 48.309, Tokens/s/device: 7281.622, total_weights: 65536, loss: 8.602, lm_loss: 8.602, perplexity: 5440.609
I0424 20:50:02.971738 135913826645824 metric_logger.py:196] completed step: 7, seconds: 24.243, TFLOP/s/device: 0.560, Tokens/s/device: 84.477, total_weights: 65536, loss: 8.394, lm_loss: 8.394, perplexity: 4418.429
I0424 20:50:03.111194 135913826645824 metric_logger.py:196] completed step: 8, seconds: 0.142, TFLOP/s/device: 95.571, Tokens/s/device: 14405.492, total_weights: 65536, loss: 8.264, lm_loss: 8.264, perplexity: 3882.953
I0424 20:50:03.246834 135913826645824 checkpointing.py:772] Waiting for step 9 to finish before checkpoint...
I0424 20:50:03.250270 135913826645824 checkpointing.py:776] Waited 0.0034558773040771484 seconds for step 9 to finish before starting checkpointing.
I0424 20:50:03.253234 135913826645824 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 20:50:10.290230 135786480781056 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 47.013 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 33.599122285842896 s) (per-host)
I0424 20:50:10.290370 135786480781056 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 33.267415s.
I0424 20:50:20.869129 135786480781056 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 43.846133s.
I0424 20:50:20.869433 135785978255104 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 20:50:20.869552 135785978255104 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save.
I0424 20:50:20.869604 135785978255104 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts...
I0424 20:50:20.873742 135785978255104 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts.
I0424 20:50:20.873928 135913826645824 checkpoint_manager.py:2032] [process=6][thread=MainThread][step=0][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=0.
W0424 20:50:20.874071 135913826645824 checkpoint_manager.py:1452] Waiting for previous save to complete took 17.620836 seconds. If this number is high, consider checkpointing less frequently.
I0424 20:50:20.877124 135913826645824 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 9
I0424 20:50:20.879165 135913826645824 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints/9.
I0424 20:50:21.224411 135913826645824 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0424 20:50:21.224579 135913826645824 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 20:50:21.345164 135913826645824 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.122245s
I0424 20:50:21.345337 135913826645824 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 9.973 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.15467286109924316 s) (per-host)
I0424 20:50:21.345387 135913826645824 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.154733s (batch_requests_ready=0.016461s, total_serialization_initiated=0.138203s, others=0.000069s)
I0424 20:50:21.345674 135913826645824 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.159376s (all_items=0.000017s, per_item={'items': '0.00001669'}, temp_paths=0.159359)
I0424 20:50:21.346498 135913826645824 event_tracking.py:125] [process=6] [async] Finished blocking save in 0.47 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints/9.
I0424 20:50:21.346830 135785978255104 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-24 21:10:21.346793
I0424 20:50:21.364035 135913826645824 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize
I0424 20:50:21.364335 135785986647808 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save.
I0424 20:50:21.364502 135913826645824 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777063803.2532032, 'wait_for_prev_duration_secs': 17.62083649635315, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777063820.8772116, 'checkpointer_blocking_duration_secs': 0.4697592258453369, 'get_old_steps_start_time': 1777063821.3469963, 'get_old_steps_duration_secs': 2.9325485229492188e-05, 'checkpoint_manager_blocking_start_time': 1777063803.2511458, 'checkpoint_manager_blocking_duration_secs': 18.113320112228394}
I0424 20:50:21.364708 135913826645824 checkpointing.py:408] Started an asynchronous checkpoint save for step 9
I0424 20:50:21.364755 135913826645824 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0424 20:50:26.516921 135785995040512 array_metadata_store.py:203] [process=6][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260424_200834/linen_xpk_test_pipeline_scan_nnx_20260424_200834_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_6
I0424 20:51:03.339385 135785978255104 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 37.477 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 42.148677825927734 s) (per-host)
I0424 20:51:03.339517 135785978255104 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 41.992575s.
I0424 20:51:12.110562 135785978255104 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 50.763604s.
I0424 20:51:12.110850 135785986647808 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save.
I0424 20:51:12.110968 135785986647808 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save.
I0424 20:51:12.111017 135785986647808 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts...
I0424 20:51:12.112887 135785986647808 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts.
I0424 20:51:12.113077 135913826645824 checkpoint_manager.py:2032] [process=6][thread=MainThread][step=9][wait_until_finished] Done waiting for Save Finalize thread (save_finalize) running at step=9.
I0424 20:51:12.113249 135913826645824 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0424 20:51:12.114211 135913826645824 metric_logger.py:196] completed step: 9, seconds: 0.136, TFLOP/s/device: 99.727, Tokens/s/device: 15031.965, total_weights: 65536, loss: 8.188, lm_loss: 8.188, perplexity: 3598.917
Per train step:
 Total TFLOPs: 13.59 
 split as 93.93% learnable weight flops and 6.07% attention flops
XPK End: Fri Apr 24 20:51:21 UTC 2026
EXIT_CODE=0

MaxView

Metrics: `main (b117f50cf)` vs `test/pipeline-scan-nnx (5b21b66fc)`

Metrics: main (b117f50cf) vs test/pipeline-scan-nnx (5b21b66fc)

Metrics: `main (b117f50cf)` vs `test/pipeline-scan-nnx (5b21b66fc)`