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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