XPK Start: Sat Apr 25 07:50:58 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.
2026-04-25 07:51:22.988027: 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)
I0425 07:51:23.194922 138455924967232 max_utils.py:273] Attempting to initialize the jax distributed system...
I0425 07:51:32.235950 138455924967232 distributed.py:149] Starting JAX distributed service on [::]:8482
I0425 07:51:32.238482 138455924967232 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-2nckk-slice-job-0-0.mt-13-scan-layers-false-2nckk:8482
I0425 07:51:32.816340 138455924967232 max_utils.py:284] Jax distributed system initialized!
I0425 07:51:38.873315 138455924967232 max_utils.py:800] System Information: Jax Version: 0.9.2
I0425 07:51:38.873422 138455924967232 max_utils.py:801] System Information: Jaxlib Version: 0.9.2
I0425 07:51:38.873463 138455924967232 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
I0425 07:51:38.873500 138455924967232 train_utils.py:361] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing.
I0425 07:51:39.588598 138455924967232 maxtext_utils.py:1604] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1)
I0425 07:51:39.588877 138455924967232 checkpointing.py:677] Setting up checkpoint logger...
I0425 07:51:39.588932 138455924967232 checkpointing.py:233] Creating checkpoint manager with ocdbt=True and zarr3=True
I0425 07:51:39.588976 138455924967232 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None
I0425 07:51:39.589335 138455924967232 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 0x7dec10938410>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0425 07:51:42.461441 138455924967232 checkpointing.py:265] Enabling policy for fixed interval checkpointing.
I0425 07:51:42.461752 138455924967232 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 0x7dd834167fe0>}, handler_registry=None
I0425 07:51:42.461986 138455924967232 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7dd834167fe0>` 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`.
I0425 07:51:42.462035 138455924967232 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7dd834169ee0>` 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`.
I0425 07:51:42.462072 138455924967232 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 0x7dd834167fe0>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7dd834167fe0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7dd834169ee0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7dd834169ee0>}).
I0425 07:51:42.462407 138455924967232 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34
I0425 07:51:42.462485 138455924967232 async_checkpointer.py:192] [process=6][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7dd7f4471800> timeout: 1200 secs and primary_host=0 for async checkpoint writes
I0425 07:51:43.588426 138455924967232 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints
I0425 07:51:43.590586 138455924967232 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_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7dd834166c30>
I0425 07:51:43.590696 138455924967232 checkpointing.py:301] Checkpoint manager created!
I0425 07:51:44.540204 138455924967232 nnx_wrappers.py:437] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed').
I0425 07:51:44.540314 138455924967232 nnx_wrappers.py:437] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0425 07:51:44.920720 138455924967232 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch_attn', 'activation_length_attn', 'activation_embed_attn').
I0425 07:51:44.920811 138455924967232 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0425 07:51:44.937212 138455924967232 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch_attn', 'activation_length_attn', 'activation_embed_attn').
I0425 07:51:44.937274 138455924967232 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None).
I0425 07:51:44.967705 138455924967232 attentions.py:1154] attentions/query Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_length_attn', 'activation_kv_heads', 'activation_kv_head_dim').
I0425 07:51:44.967778 138455924967232 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0425 07:51:44.984493 138455924967232 attentions.py:1155] attentions/key Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_length_attn', 'activation_kv_heads', 'activation_kv_head_dim').
I0425 07:51:44.984556 138455924967232 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0425 07:51:45.000806 138455924967232 attentions.py:1156] attentions/value Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_length_attn', 'activation_kv_heads', 'activation_kv_head_dim').
I0425 07:51:45.000865 138455924967232 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0425 07:51:45.030123 138455924967232 attentions.py:1198] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch_attn', 'activation_length_attn', 'activation_heads', 'activation_kv').
I0425 07:51:45.030196 138455924967232 attentions.py:1198] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None).
I0425 07:51:45.052152 138455924967232 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp').
I0425 07:51:45.052218 138455924967232 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None).
I0425 07:51:47.935283 138455924967232 checkpointing.py:577] checkpoint manager exists so trying to load this run's existing checkpoint
I0425 07:51:47.935413 138455924967232 checkpointing.py:665] No existing checkpoints found, not restoring checkpoint.
fsdp: 32
I0425 07:51:55.191317 138455924967232 maxtext_utils.py:1707] params/params/decoder/decoder_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.191451 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.191504 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.191570 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.191615 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.191652 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.191703 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.191754 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.191792 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.191828 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_0/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.191863 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.191897 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.191931 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.191963 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.191995 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192027 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192059 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.192091 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.192159 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_1/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192234 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.192282 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.192321 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.192353 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192383 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192415 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192446 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.192478 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.192508 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_10/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192544 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.192576 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.192608 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.192636 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192663 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192693 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192722 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.192752 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.192783 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_11/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192813 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.192842 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.192872 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.192901 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192929 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.192960 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.192991 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.193020 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.193051 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_12/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193080 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193123 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193156 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.193185 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.193213 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.193243 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193273 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.193303 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.193332 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_13/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193362 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193391 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193420 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.193447 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.193475 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.193505 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193535 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.193572 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.193602 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_14/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193632 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193661 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193691 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.193719 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.193747 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.193776 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193806 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.193835 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.193864 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_15/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.193893 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193923 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.193954 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.193982 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194009 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194039 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194068 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.194108 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.194141 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_2/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194171 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194200 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194229 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.194256 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194283 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194313 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194342 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.194373 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.194403 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_3/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194433 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194462 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194491 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.194518 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194552 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194582 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194612 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.194641 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.194671 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_4/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194700 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194731 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194760 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.194787 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194815 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.194844 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194872 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.194901 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.194930 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_5/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.194960 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.194990 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195018 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.195046 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195073 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195114 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195146 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.195175 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.195205 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_6/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195235 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195264 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195293 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.195322 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195350 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195379 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195408 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.195437 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.195466 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_7/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195496 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195525 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195559 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.195588 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195616 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195645 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195675 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.195705 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.195734 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_8/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195763 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/mlp/wi_0/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195792 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/mlp/wi_1/kernel
Shape: float32[2048,7168]
Logical: P('embed', 'mlp')
Physical: ('fsdp', None)
I0425 07:51:55.195821 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/mlp/wo/kernel
Shape: float32[7168,2048]
Logical: P('mlp', 'embed')
Physical: (None, 'fsdp')
I0425 07:51:55.195848 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/post_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195876 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/pre_self_attention_layer_norm/scale
Shape: float32[2048]
Logical: P('norm',)
Physical: (None,)
I0425 07:51:55.195904 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/self_attention/key/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.195934 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/self_attention/out/kernel
Shape: float32[16,128,2048]
Logical: P('heads', 'kv', 'embed')
Physical: (None, None, 'fsdp')
I0425 07:51:55.195963 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/self_attention/query/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'q_heads', 'kv')
Physical: ('fsdp', None, None)
I0425 07:51:55.195992 138455924967232 maxtext_utils.py:1707] params/params/decoder/layers_9/self_attention/value/kernel
Shape: float32[2048,16,128]
Logical: P('embed', 'kv_heads', 'kv_head_dim')
Physical: ('fsdp', None, None)
I0425 07:51:55.196041 138455924967232 maxtext_utils.py:1707] params/params/decoder/logits_dense/kernel
Shape: float32[2048,32000]
Logical: P('embed_vocab', 'vocab')
Physical: ('fsdp', None)
I0425 07:51:55.196086 138455924967232 maxtext_utils.py:1707] params/params/token_embedder/embedding
Shape: float32[32000,2048]
Logical: P('vocab', 'embed_vocab')
Physical: (None, 'fsdp')
I0425 07:51:59.713859 138455924967232 train.py:155] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0425 07:51:59.713958 138455924967232 train.py:155] train/xent Physical: float32[32,2048]............................................ ('fsdp', None).
I0425 07:51:59.729547 138455924967232 train.py:162] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length').
I0425 07:51:59.729607 138455924967232 train.py:162] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None).
I0425 07:52:57.041496 138455924967232 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.
I0425 07:52:57.042782 138455924967232 metric_logger.py:301] number parameters: 1.104 billion
I0425 07:53:58.284974 138455924967232 checkpointing.py:772] Waiting for step 0 to finish before checkpoint...
I0425 07:53:58.523881 138455924967232 checkpointing.py:776] Waited 0.23888778686523438 seconds for step 0 to finish before starting checkpointing.
I0425 07:53:58.527924 138455924967232 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0425 07:53:58.529826 138455924967232 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 0
I0425 07:53:58.531222 138455924967232 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints/0.
I0425 07:53:58.896991 138455924967232 signaling_client.py:364] Using JaxDistributedSignalingClient
I0425 07:53:58.898050 138455924967232 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0425 07:53:58.898195 138455924967232 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
I0425 07:53:59.193216 138455924967232 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.296732s
I0425 07:53:59.193388 138455924967232 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 4.667 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.33056139945983887 s) (per-host)
I0425 07:53:59.193437 138455924967232 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.330621s (batch_requests_ready=0.016872s, total_serialization_initiated=0.313681s, others=0.000068s)
I0425 07:53:59.193696 138455924967232 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.334947s (all_items=0.000019s, per_item={'items': '0.00001860'}, temp_paths=0.334928)
I0425 07:53:59.194550 138455924967232 event_tracking.py:125] [process=6] [async] Finished blocking save in 0.66 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints/0.
I0425 07:53:59.194913 138327663933184 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-25 08:13:59.194873
I0425 07:53:59.239126 138455924967232 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize
I0425 07:53:59.239472 138327625799424 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save.
I0425 07:53:59.239633 138455924967232 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777103638.5279067, 'wait_for_prev_duration_secs': 6.103515625e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777103638.529865, 'checkpointer_blocking_duration_secs': 0.665147066116333, 'get_old_steps_start_time': 1777103639.1950366, 'get_old_steps_duration_secs': 2.8371810913085938e-05, 'checkpoint_manager_blocking_start_time': 1777103638.525483, 'checkpoint_manager_blocking_duration_secs': 0.7141110897064209}
I0425 07:53:59.239826 138455924967232 checkpointing.py:408] Started an asynchronous checkpoint save for step 0
I0425 07:53:59.239879 138455924967232 max_utils.py:750]
Memstats: After params initialized:
I0425 07:53:59.239932 138455924967232 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_24(process=6,(0,6,0,0))
I0425 07:53:59.239975 138455924967232 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_25(process=6,(1,6,0,0))
I0425 07:53:59.240002 138455924967232 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_28(process=6,(0,7,0,0))
I0425 07:53:59.240027 138455924967232 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_29(process=6,(1,7,0,0))
I0425 07:53:59.602081 138455924967232 metric_logger.py:196] completed step: 0, seconds: 61.242, TFLOP/s/device: 0.222, Tokens/s/device: 33.441, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0425 07:53:59.753993 138455924967232 metric_logger.py:196] completed step: 1, seconds: 1.308, TFLOP/s/device: 10.390, Tokens/s/device: 1566.166, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617
I0425 07:54:00.172657 138455924967232 metric_logger.py:196] completed step: 2, seconds: 0.025, TFLOP/s/device: 545.602, Tokens/s/device: 82239.088, total_weights: 65536, loss: 10.268, lm_loss: 10.268, perplexity: 28790.438
I0425 07:54:00.311947 138455924967232 metric_logger.py:196] completed step: 3, seconds: 0.421, TFLOP/s/device: 32.304, Tokens/s/device: 4869.223, total_weights: 65536, loss: 9.741, lm_loss: 9.741, perplexity: 17001.229
I0425 07:54:00.591389 138455924967232 metric_logger.py:196] completed step: 4, seconds: 0.142, TFLOP/s/device: 95.864, Tokens/s/device: 14449.603, total_weights: 65536, loss: 9.285, lm_loss: 9.285, perplexity: 10778.667
I0425 07:54:00.603178 138455924967232 metric_logger.py:196] completed step: 5, seconds: 0.139, TFLOP/s/device: 97.691, Tokens/s/device: 14725.126, total_weights: 65536, loss: 8.901, lm_loss: 8.901, perplexity: 7336.449
I0425 07:54:02.741918 2814 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0425 07:54:04.836000 138327634192128 array_metadata_store.py:203] [process=6][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_6
I0425 07:54:24.314650 138455924967232 metric_logger.py:196] completed step: 6, seconds: 0.280, TFLOP/s/device: 48.457, Tokens/s/device: 7303.982, total_weights: 65536, loss: 8.602, lm_loss: 8.602, perplexity: 5440.847
I0425 07:54:24.453226 138455924967232 metric_logger.py:196] completed step: 7, seconds: 23.580, TFLOP/s/device: 0.576, Tokens/s/device: 86.853, total_weights: 65536, loss: 8.393, lm_loss: 8.393, perplexity: 4417.915
I0425 07:54:24.589462 138455924967232 metric_logger.py:196] completed step: 8, seconds: 0.142, TFLOP/s/device: 95.576, Tokens/s/device: 14406.303, total_weights: 65536, loss: 8.264, lm_loss: 8.264, perplexity: 3882.211
I0425 07:54:24.724991 138455924967232 checkpointing.py:772] Waiting for step 9 to finish before checkpoint...
I0425 07:54:24.728439 138455924967232 checkpointing.py:776] Waited 0.0034661293029785156 seconds for step 9 to finish before starting checkpointing.
I0425 07:54:24.731225 138455924967232 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0425 07:54:33.495752 138327663933184 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 45.610 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 34.632887840270996 s) (per-host)
I0425 07:54:33.495872 138327663933184 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 34.300164s.
I0425 07:54:42.461618 138327663933184 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 43.265893s.
I0425 07:54:42.461851 138327625799424 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save.
I0425 07:54:42.461909 138327625799424 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save.
I0425 07:54:42.461960 138327625799424 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts...
I0425 07:54:42.463936 138327625799424 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts.
I0425 07:54:42.464115 138455924967232 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.
W0425 07:54:42.464256 138455924967232 checkpoint_manager.py:1452] Waiting for previous save to complete took 17.733030 seconds. If this number is high, consider checkpointing less frequently.
I0425 07:54:42.467428 138455924967232 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 9
I0425 07:54:42.469515 138455924967232 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints/9.
I0425 07:54:42.783141 138455924967232 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array.
I0425 07:54:42.783312 138455924967232 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
I0425 07:54:42.907059 138455924967232 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.125339s
I0425 07:54:42.907240 138455924967232 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 9.789 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.15758466720581055 s) (per-host)
I0425 07:54:42.907295 138455924967232 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.157646s (batch_requests_ready=0.016346s, total_serialization_initiated=0.141232s, others=0.000069s)
I0425 07:54:42.907581 138455924967232 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.161864s (all_items=0.000016s, per_item={'items': '0.00001574'}, temp_paths=0.161848)
I0425 07:54:42.908393 138455924967232 event_tracking.py:125] [process=6] [async] Finished blocking save in 0.44 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints/9.
I0425 07:54:42.908671 138327625799424 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-25 08:14:42.908650
I0425 07:54:42.916329 138455924967232 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize
I0425 07:54:42.916620 138327634192128 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save.
I0425 07:54:42.916794 138455924967232 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1777103664.7311954, 'wait_for_prev_duration_secs': 17.733030080795288, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1777103682.4674687, 'checkpointer_blocking_duration_secs': 0.4412999153137207, 'get_old_steps_start_time': 1777103682.9087956, 'get_old_steps_duration_secs': 3.075599670410156e-05, 'checkpoint_manager_blocking_start_time': 1777103664.729335, 'checkpoint_manager_blocking_duration_secs': 18.187417030334473}
I0425 07:54:42.917018 138455924967232 checkpointing.py:408] Started an asynchronous checkpoint save for step 9
I0425 07:54:42.917067 138455924967232 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete.
I0425 07:54:47.956818 138328745408256 array_metadata_store.py:203] [process=6][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_main_20260425_071456/linen_xpk_main_20260425_071456_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_6
I0425 07:55:23.837512 138327625799424 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 38.444 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 41.08781456947327 s) (per-host)
I0425 07:55:23.837653 138327625799424 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 40.928908s.
I0425 07:55:33.709942 138327625799424 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 50.801181s.
I0425 07:55:33.710251 138327634192128 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save.
I0425 07:55:33.710382 138327634192128 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save.
I0425 07:55:33.710432 138327634192128 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts...
I0425 07:55:33.711806 138327634192128 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts.
I0425 07:55:33.711996 138455924967232 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.
I0425 07:55:33.712168 138455924967232 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0425 07:55:33.713085 138455924967232 metric_logger.py:196] completed step: 9, seconds: 0.138, TFLOP/s/device: 98.157, Tokens/s/device: 14795.229, total_weights: 65536, loss: 8.188, lm_loss: 8.188, perplexity: 3598.362
Per train step:
Total TFLOPs: 13.59
split as 93.93% learnable weight flops and 6.07% attention flops
XPK End: Sat Apr 25 07:55:44 UTC 2026
EXIT_CODE=0