XPK Start: Thu Apr 23 21:54:37 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.
2026-04-23 21:55:02.239753: 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)
I0423 21:55:02.450486 135400765843264 max_utils.py:273] Attempting to initialize the jax distributed system...
I0423 21:55:11.492189 135400765843264 distributed.py:149] Starting JAX distributed service on [::]:8482
I0423 21:55:11.494593 135400765843264 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-p05tj-slice-job-0-0.mt-13-scan-layers-false-p05tj:8482
I0423 21:55:12.504302 135400765843264 max_utils.py:284] Jax distributed system initialized!
I0423 21:55:17.774233 135400765843264 max_utils.py:800] System Information: Jax Version: 0.9.2
I0423 21:55:17.774345 135400765843264 max_utils.py:801] System Information: Jaxlib Version: 0.9.2
I0423 21:55:17.774387 135400765843264 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
I0423 21:55:17.774425 135400765843264 train_utils.py:361] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing.
I0423 21:55:18.481528 135400765843264 maxtext_utils.py:1565] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0423 21:55:18.481809 135400765843264 checkpointing.py:677] Setting up checkpoint logger...
I0423 21:55:18.481878 135400765843264 checkpointing.py:233] Creating checkpoint manager with ocdbt=True and zarr3=True
I0423 21:55:18.481922 135400765843264 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None
I0423 21:55:18.482280 135400765843264 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 0x7b24d7114e90>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0423 21:55:21.879188 135400765843264 checkpointing.py:265] Enabling policy for fixed interval checkpointing.
I0423 21:55:21.879508 135400765843264 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 0x7b110c5e73e0>}, handler_registry=None
I0423 21:55:21.879750 135400765843264 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7b110c5e73e0>` 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`.
I0423 21:55:21.879799 135400765843264 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7b110c5e9910>` 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`.
I0423 21:55:21.879834 135400765843264 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 0x7b110c5e73e0>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7b110c5e73e0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7b110c5e9910>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7b110c5e9910>}).
I0423 21:55:21.880175 135400765843264 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34
I0423 21:55:21.880245 135400765843264 async_checkpointer.py:192] [process=6][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7b110c41b2e0> timeout: 1200 secs and primary_host=0 for async checkpoint writes
I0423 21:55:22.574691 135400765843264 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints
I0423 21:55:23.441606 135400765843264 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_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7b110c5e6c90>
I0423 21:55:23.441782 135400765843264 checkpointing.py:301] Checkpoint manager created!
I0423 21:55:24.381694 135400765843264 nnx_wrappers.py:453] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed').
I0423 21:55:24.381804 135400765843264 nnx_wrappers.py:453] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0423 21:55:24.761156 135400765843264 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0423 21:55:24.761252 135400765843264 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0423 21:55:24.777488 135400765843264 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_attn_length', 'activation_attn_embed').
I0423 21:55:24.777551 135400765843264 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0423 21:55:24.807760 135400765843264 attentions.py:1154] attentions/query Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim').
I0423 21:55:24.807833 135400765843264 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0423 21:55:24.824208 135400765843264 attentions.py:1155] attentions/key Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim').
I0423 21:55:24.824276 135400765843264 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0423 21:55:24.840442 135400765843264 attentions.py:1156] attentions/value Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_attn_length', 'activation_kv_heads', 'activation_kv_head_dim').
I0423 21:55:24.840503 135400765843264 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0423 21:55:24.869929 135400765843264 attentions.py:1198] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch', 'activation_attn_length', 'activation_heads', 'activation_kv').
I0423 21:55:24.870000 135400765843264 attentions.py:1198] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0423 21:55:24.891799 135400765843264 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp').
I0423 21:55:24.891864 135400765843264 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None).
I0423 21:55:27.790660 135400765843264 checkpointing.py:577] checkpoint manager exists so trying to load this run's existing checkpoint
I0423 21:55:27.790791 135400765843264 checkpointing.py:665] No existing checkpoints found, not restoring checkpoint.
fsdp: 32
I0423 21:55:35.051617 135400765843264 maxtext_utils.py:1668] params/params/decoder/decoder_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.051754 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_0/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.051807 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_0/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.051863 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_0/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.051903 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_0/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.051939 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_0/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.051989 135400765843264 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)
I0423 21:55:35.052039 135400765843264 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')
I0423 21:55:35.052077 135400765843264 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)
I0423 21:55:35.052124 135400765843264 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)
I0423 21:55:35.052160 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_1/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.052193 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_1/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.052228 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_1/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.052259 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_1/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.052293 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_1/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.052326 135400765843264 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)
I0423 21:55:35.052357 135400765843264 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')
I0423 21:55:35.052390 135400765843264 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)
I0423 21:55:35.052431 135400765843264 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)
I0423 21:55:35.052463 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_10/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.052494 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_10/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.052524 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_10/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.052552 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_10/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.052581 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_10/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.052611 135400765843264 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)
I0423 21:55:35.052640 135400765843264 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')
I0423 21:55:35.052670 135400765843264 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)
I0423 21:55:35.052701 135400765843264 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)
I0423 21:55:35.052730 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_11/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.052760 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_11/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.052790 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_11/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.052819 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_11/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.052847 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_11/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.052877 135400765843264 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)
I0423 21:55:35.052907 135400765843264 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')
I0423 21:55:35.052937 135400765843264 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)
I0423 21:55:35.052966 135400765843264 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)
I0423 21:55:35.052997 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_12/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053027 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_12/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053057 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_12/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.053086 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_12/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053144 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_12/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053177 135400765843264 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)
I0423 21:55:35.053208 135400765843264 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')
I0423 21:55:35.053238 135400765843264 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)
I0423 21:55:35.053268 135400765843264 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)
I0423 21:55:35.053302 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_13/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053330 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_13/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053360 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_13/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.053388 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_13/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053416 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_13/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053444 135400765843264 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)
I0423 21:55:35.053473 135400765843264 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')
I0423 21:55:35.053503 135400765843264 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)
I0423 21:55:35.053532 135400765843264 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)
I0423 21:55:35.053561 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_14/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053590 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_14/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053619 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_14/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.053646 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_14/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053673 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_14/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053703 135400765843264 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)
I0423 21:55:35.053732 135400765843264 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')
I0423 21:55:35.053761 135400765843264 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)
I0423 21:55:35.053789 135400765843264 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)
I0423 21:55:35.053818 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_15/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053847 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_15/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.053876 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_15/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.053904 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_15/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053931 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_15/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.053960 135400765843264 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)
I0423 21:55:35.053989 135400765843264 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')
I0423 21:55:35.054018 135400765843264 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)
I0423 21:55:35.054047 135400765843264 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)
I0423 21:55:35.054076 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_2/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054115 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_2/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054146 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_2/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.054174 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_2/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054201 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_2/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054231 135400765843264 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)
I0423 21:55:35.054260 135400765843264 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')
I0423 21:55:35.054295 135400765843264 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)
I0423 21:55:35.054324 135400765843264 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)
I0423 21:55:35.054353 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_3/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054382 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_3/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054410 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_3/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.054439 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_3/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054466 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_3/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054496 135400765843264 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)
I0423 21:55:35.054525 135400765843264 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')
I0423 21:55:35.054554 135400765843264 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)
I0423 21:55:35.054582 135400765843264 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)
I0423 21:55:35.054611 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_4/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054640 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_4/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054670 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_4/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.054697 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_4/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054723 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_4/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054754 135400765843264 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)
I0423 21:55:35.054783 135400765843264 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')
I0423 21:55:35.054812 135400765843264 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)
I0423 21:55:35.054843 135400765843264 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)
I0423 21:55:35.054873 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_5/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054902 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_5/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.054933 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_5/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.054961 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_5/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.054991 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_5/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055021 135400765843264 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)
I0423 21:55:35.055051 135400765843264 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')
I0423 21:55:35.055080 135400765843264 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)
I0423 21:55:35.055122 135400765843264 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)
I0423 21:55:35.055152 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_6/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055181 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_6/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055211 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_6/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.055238 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_6/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055265 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_6/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055297 135400765843264 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)
I0423 21:55:35.055326 135400765843264 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')
I0423 21:55:35.055355 135400765843264 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)
I0423 21:55:35.055383 135400765843264 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)
I0423 21:55:35.055412 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_7/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055441 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_7/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055469 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_7/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.055496 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_7/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055523 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_7/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055552 135400765843264 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)
I0423 21:55:35.055580 135400765843264 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')
I0423 21:55:35.055610 135400765843264 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)
I0423 21:55:35.055638 135400765843264 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)
I0423 21:55:35.055666 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_8/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055695 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_8/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055724 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_8/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.055751 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_8/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055778 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_8/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.055807 135400765843264 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)
I0423 21:55:35.055836 135400765843264 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')
I0423 21:55:35.055865 135400765843264 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)
I0423 21:55:35.055893 135400765843264 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)
I0423 21:55:35.055922 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_9/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055951 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_9/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0423 21:55:35.055979 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_9/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0423 21:55:35.056007 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_9/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.056034 135400765843264 maxtext_utils.py:1668] params/params/decoder/layers_9/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0423 21:55:35.056062 135400765843264 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)
I0423 21:55:35.056091 135400765843264 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')
I0423 21:55:35.056134 135400765843264 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)
I0423 21:55:35.056164 135400765843264 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)
I0423 21:55:35.056211 135400765843264 maxtext_utils.py:1668] params/params/decoder/logits_dense/kernel
Shape: float32[2048,32000]
Logical: P('embed_vocab', 'vocab')
Physical: ('fsdp', None)
I0423 21:55:35.056254 135400765843264 maxtext_utils.py:1668] params/params/token_embedder/embedding
Shape: float32[32000,2048]
Logical: P('vocab', 'embed_vocab')
Physical: (None, 'fsdp')
I0423 21:55:39.611846 135400765843264 train.py:155] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0423 21:55:39.611943 135400765843264 train.py:155] train/xent Physical: float32[32,2048]............................................ ('fsdp', None).
I0423 21:55:39.627457 135400765843264 train.py:162] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0423 21:55:39.627523 135400765843264 train.py:162] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None).
I0423 21:56:36.520141 135400765843264 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.
I0423 21:56:36.521366 135400765843264 metric_logger.py:301] number parameters: 1.104 billion
I0423 21:57:37.907264 135400765843264 checkpointing.py:772] Waiting for step 0 to finish before checkpoint...
I0423 21:57:38.158474 135400765843264 checkpointing.py:776] Waited 0.251190185546875 seconds for step 0 to finish before starting checkpointing.
I0423 21:57:38.163206 135400765843264 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0423 21:57:38.165121 135400765843264 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 0
I0423 21:57:38.166506 135400765843264 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints/0.
I0423 21:57:38.927338 135400765843264 signaling_client.py:364] Using JaxDistributedSignalingClient
I0423 21:57:38.928392 135400765843264 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0423 21:57:38.928519 135400765843264 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
I0423 21:57:39.219534 135400765843264 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.292706s
I0423 21:57:39.219699 135400765843264 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 4.727 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.32631421089172363 s) (per-host)
I0423 21:57:39.219748 135400765843264 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.326373s (batch_requests_ready=0.016955s, total_serialization_initiated=0.309352s, others=0.000066s)
I0423 21:57:39.220012 135400765843264 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.330483s (all_items=0.000018s, per_item={'items': '0.00001812'}, temp_paths=0.330465)
I0423 21:57:39.220793 135400765843264 event_tracking.py:125] [process=6] [async] Finished blocking save in 1.06 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints/0.
I0423 21:57:39.221166 135275212691200 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-23 22:17:39.221127
I0423 21:57:39.270446 135400765843264 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize
I0423 21:57:39.270790 135275195905792 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save.
I0423 21:57:39.270939 135400765843264 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1776981458.1631877, 'wait_for_prev_duration_secs': 6.127357482910156e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1776981458.1651592, 'checkpointer_blocking_duration_secs': 1.056166648864746, 'get_old_steps_start_time': 1776981459.2213507, 'get_old_steps_duration_secs': 2.9087066650390625e-05, 'checkpoint_manager_blocking_start_time': 1776981458.1600783, 'checkpoint_manager_blocking_duration_secs': 1.1108200550079346}
I0423 21:57:39.271148 135400765843264 checkpointing.py:408] Started an asynchronous checkpoint save for step 0
I0423 21:57:39.271201 135400765843264 max_utils.py:750]
Memstats: After params initialized:
I0423 21:57:39.271253 135400765843264 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_24(process=6,(0,6,0,0))
I0423 21:57:39.271284 135400765843264 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_25(process=6,(1,6,0,0))
I0423 21:57:39.271308 135400765843264 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_28(process=6,(0,7,0,0))
I0423 21:57:39.271331 135400765843264 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_29(process=6,(1,7,0,0))
I0423 21:57:39.625797 135400765843264 metric_logger.py:196] completed step: 0, seconds: 61.386, TFLOP/s/device: 0.221, Tokens/s/device: 33.363, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0423 21:57:39.793284 135400765843264 metric_logger.py:196] completed step: 1, seconds: 1.710, TFLOP/s/device: 7.947, Tokens/s/device: 1197.879, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0423 21:57:40.218031 135400765843264 metric_logger.py:196] completed step: 2, seconds: 0.040, TFLOP/s/device: 338.924, Tokens/s/device: 51086.333, total_weights: 65536, loss: 10.268, lm_loss: 10.268, perplexity: 28794.738
I0423 21:57:40.354090 135400765843264 metric_logger.py:196] completed step: 3, seconds: 0.426, TFLOP/s/device: 31.875, Tokens/s/device: 4804.546, total_weights: 65536, loss: 9.741, lm_loss: 9.741, perplexity: 16999.881
I0423 21:57:40.631736 135400765843264 metric_logger.py:196] completed step: 4, seconds: 0.142, TFLOP/s/device: 95.990, Tokens/s/device: 14468.590, total_weights: 65536, loss: 9.285, lm_loss: 9.285, perplexity: 10779.224
I0423 21:57:40.642799 135400765843264 metric_logger.py:196] completed step: 5, seconds: 0.136, TFLOP/s/device: 99.826, Tokens/s/device: 15046.875, total_weights: 65536, loss: 8.901, lm_loss: 8.901, perplexity: 7335.983
I0423 21:57:42.528266 2777 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0423 21:57:44.624179 135277913831168 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_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_6
I0423 21:58:04.563773 135400765843264 metric_logger.py:196] completed step: 6, seconds: 0.278, TFLOP/s/device: 48.828, Tokens/s/device: 7359.838, total_weights: 65536, loss: 8.602, lm_loss: 8.602, perplexity: 5440.351
I0423 21:58:04.700023 135400765843264 metric_logger.py:196] completed step: 7, seconds: 23.789, TFLOP/s/device: 0.571, Tokens/s/device: 86.089, total_weights: 65536, loss: 8.393, lm_loss: 8.393, perplexity: 4418.096
I0423 21:58:04.836058 135400765843264 metric_logger.py:196] completed step: 8, seconds: 0.142, TFLOP/s/device: 95.664, Tokens/s/device: 14419.590, total_weights: 65536, loss: 8.264, lm_loss: 8.264, perplexity: 3882.493
I0423 21:58:04.971509 135400765843264 checkpointing.py:772] Waiting for step 9 to finish before checkpoint...
I0423 21:58:04.975720 135400765843264 checkpointing.py:776] Waited 0.004194736480712891 seconds for step 9 to finish before starting checkpointing.
I0423 21:58:04.978590 135400765843264 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0423 21:58:12.937480 135275212691200 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 46.399 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 34.044047832489014 s) (per-host)
I0423 21:58:12.937626 135275212691200 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 33.716343s.
I0423 21:58:22.836071 135275212691200 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 43.614772s.
I0423 21:58:22.836357 135275195905792 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save.
I0423 21:58:22.836478 135275195905792 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save.
I0423 21:58:22.836531 135275195905792 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts...
I0423 21:58:22.839125 135275195905792 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts.
I0423 21:58:22.839317 135400765843264 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.
W0423 21:58:22.839473 135400765843264 checkpoint_manager.py:1452] Waiting for previous save to complete took 17.860885 seconds. If this number is high, consider checkpointing less frequently.
I0423 21:58:22.842168 135400765843264 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 9
I0423 21:58:22.844372 135400765843264 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints/9.
I0423 21:58:23.524617 135400765843264 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0423 21:58:23.524790 135400765843264 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
I0423 21:58:23.647774 135400765843264 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.124583s
I0423 21:58:23.647934 135400765843264 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 9.818 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.15712428092956543 s) (per-host)
I0423 21:58:23.647984 135400765843264 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.157184s (batch_requests_ready=0.016694s, total_serialization_initiated=0.140425s, others=0.000065s)
I0423 21:58:23.648323 135400765843264 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.161576s (all_items=0.000015s, per_item={'items': '0.00001502'}, temp_paths=0.161561)
I0423 21:58:23.649087 135400765843264 event_tracking.py:125] [process=6] [async] Finished blocking save in 0.81 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints/9.
I0423 21:58:23.649386 135275195905792 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-23 22:18:23.649364
I0423 21:58:23.664072 135400765843264 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize
I0423 21:58:23.664389 135274692605696 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save.
I0423 21:58:23.664564 135400765843264 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_test_pipeline_scan_nnx_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1776981484.9785576, 'wait_for_prev_duration_secs': 17.86088514328003, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1776981502.8422081, 'checkpointer_blocking_duration_secs': 0.8072764873504639, 'get_old_steps_start_time': 1776981503.6495073, 'get_old_steps_duration_secs': 3.075599670410156e-05, 'checkpoint_manager_blocking_start_time': 1776981484.9768686, 'checkpoint_manager_blocking_duration_secs': 18.687652587890625}
I0423 21:58:23.664793 135400765843264 checkpointing.py:408] Started an asynchronous checkpoint save for step 9
I0423 21:58:23.664844 135400765843264 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0423 21:58:28.787831 135277913831168 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_20260423_211617/linen_xpk_test_pipeline_scan_nnx_20260423_211617_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_6
I0423 21:59:05.805420 135275195905792 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 37.330 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 42.314570903778076 s) (per-host)
I0423 21:59:05.805549 135275195905792 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 42.156086s.
I0423 21:59:14.499797 135275195905792 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 50.850318s.
I0423 21:59:14.500125 135274692605696 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save.
I0423 21:59:14.500249 135274692605696 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save.
I0423 21:59:14.500300 135274692605696 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts...
I0423 21:59:14.502672 135274692605696 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts.
I0423 21:59:14.502880 135400765843264 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.
I0423 21:59:14.503038 135400765843264 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0423 21:59:14.504038 135400765843264 metric_logger.py:196] completed step: 9, seconds: 0.136, TFLOP/s/device: 99.753, Tokens/s/device: 15035.828, total_weights: 65536, loss: 8.188, lm_loss: 8.188, perplexity: 3598.695
Per train step:
Total TFLOPs: 13.59
split as 93.93% learnable weight flops and 6.07% attention flops
XPK End: Thu Apr 23 21:59:27 UTC 2026
EXIT_CODE=0