main (586e69205) vs test/pipeline-scan-nnx (5b21b66fc)| Metric | main 586e69205 | test/pipeline-scan-nnx 5b21b66fc | Diff (test/pipeline-scan-nnx − main) |
|---|---|---|---|
| Parameters | 1.104 billion | 1.104 billion | — |
| Final loss | 8.1880 | 8.1880 | 0 |
| TFLOP/s | 99.374 | 99.753 | +0.379 |
| Tok/s | 14978.8 | 15035.8 | +57.075 |
| Avg s/step | 3.012 | 2.978 | -0.034 |
| Memory % | 2.62 | 2.62 | 0 |
| JAX | 0.9.2 | 0.9.2 | — |
Diff = branch value − main value. Green = branch improved. Red = branch regressed.
XPK Start: Thu Apr 23 08:02:23 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 08:02:47.938952: 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 08:02:48.151821 138057675323200 max_utils.py:273] Attempting to initialize the jax distributed system... I0423 08:02:57.193799 138057675323200 distributed.py:149] Starting JAX distributed service on [::]:8482 I0423 08:02:57.196135 138057675323200 distributed.py:172] Connecting to JAX distributed service on mt-13-scan-layers-false-oep7m-slice-job-0-0.mt-13-scan-layers-false-oep7m:8482 I0423 08:02:58.080470 138057675323200 max_utils.py:284] Jax distributed system initialized! I0423 08:03:04.622394 138057675323200 max_utils.py:800] System Information: Jax Version: 0.9.2 I0423 08:03:04.622500 138057675323200 max_utils.py:801] System Information: Jaxlib Version: 0.9.2 I0423 08:03:04.622540 138057675323200 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 08:03:04.622575 138057675323200 train_utils.py:361] WARNING: Sequence packing is essentially ignored for synthetic data. Please use a real dataset to use sequence packing. I0423 08:03:05.315634 138057675323200 maxtext_utils.py:1604] Num_devices: 32, shape (1, 1, 1, 32, 1, 1, 1, 1, 1, 1, 1, 1, 1) I0423 08:03:05.315913 138057675323200 checkpointing.py:677] Setting up checkpoint logger... I0423 08:03:05.315968 138057675323200 checkpointing.py:233] Creating checkpoint manager with ocdbt=True and zarr3=True I0423 08:03:05.316011 138057675323200 pytree_checkpoint_handler.py:592] save_device_host_concurrent_bytes=None I0423 08:03:05.316368 138057675323200 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 0x7d8f78314350>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB) I0423 08:03:08.471778 138057675323200 checkpointing.py:265] Enabling policy for fixed interval checkpointing. I0423 08:03:08.472016 138057675323200 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 0x7d7af47170e0>}, handler_registry=None I0423 08:03:08.472270 138057675323200 composite_checkpoint_handler.py:237] Deferred registration for item: "items". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7d7af47170e0>` 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 08:03:08.472321 138057675323200 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7d7af471b200>` 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 08:03:08.472363 138057675323200 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 0x7d7af47170e0>, ('items', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7d7af47170e0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7d7af471b200>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7d7af471b200>}). I0423 08:03:08.472688 138057675323200 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.34 I0423 08:03:08.472758 138057675323200 async_checkpointer.py:192] [process=6][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7d7af44c5a80> timeout: 1200 secs and primary_host=0 for async checkpoint writes I0423 08:03:09.965656 138057675323200 checkpoint_manager.py:1812] Found 0 checkpoint steps in gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints I0423 08:03:10.429204 138057675323200 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_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7d8e4bafd280> I0423 08:03:10.429389 138057675323200 checkpointing.py:301] Checkpoint manager created! I0423 08:03:11.372931 138057675323200 nnx_wrappers.py:437] Unknown Logical: bfloat16[32,2048,2048]...................................... ('activation_batch', 'activation_norm_length', 'activation_embed'). I0423 08:03:11.373037 138057675323200 nnx_wrappers.py:437] Unknown Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None). I0423 08:03:11.762753 138057675323200 attentions.py:1088] attentions/inputs_q Logical: bfloat16[32,2048,2048]...................................... ('activation_batch_attn', 'activation_length_attn', 'activation_embed_attn'). I0423 08:03:11.762846 138057675323200 attentions.py:1088] attentions/inputs_q Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None). I0423 08:03:11.779165 138057675323200 attentions.py:1089] attentions/inputs_kv Logical: bfloat16[32,2048,2048]...................................... ('activation_batch_attn', 'activation_length_attn', 'activation_embed_attn'). I0423 08:03:11.779227 138057675323200 attentions.py:1089] attentions/inputs_kv Physical: bfloat16[32,2048,2048]...................................... ('fsdp', None, None). I0423 08:03:11.809839 138057675323200 attentions.py:1154] attentions/query Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_length_attn', 'activation_kv_heads', 'activation_kv_head_dim'). I0423 08:03:11.809911 138057675323200 attentions.py:1154] attentions/query Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0423 08:03:11.826325 138057675323200 attentions.py:1155] attentions/key Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_length_attn', 'activation_kv_heads', 'activation_kv_head_dim'). I0423 08:03:11.826387 138057675323200 attentions.py:1155] attentions/key Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0423 08:03:11.842606 138057675323200 attentions.py:1156] attentions/value Logical: bfloat16[32,2048,16,128].................................... ('activation_kv_batch', 'activation_length_attn', 'activation_kv_heads', 'activation_kv_head_dim'). I0423 08:03:11.842666 138057675323200 attentions.py:1156] attentions/value Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0423 08:03:11.872589 138057675323200 attentions.py:1198] attentions/out Logical: bfloat16[32,2048,16,128].................................... ('activation_batch_attn', 'activation_length_attn', 'activation_heads', 'activation_kv'). I0423 08:03:11.872664 138057675323200 attentions.py:1198] attentions/out Physical: bfloat16[32,2048,16,128].................................... ('fsdp', None, None, None). I0423 08:03:11.894843 138057675323200 linears.py:525] linears/x Logical: bfloat16[32,2048,7168]...................................... ('activation_batch', 'activation_length', 'activation_mlp'). I0423 08:03:11.894914 138057675323200 linears.py:525] linears/x Physical: bfloat16[32,2048,7168]...................................... ('fsdp', None, None). I0423 08:03:14.842813 138057675323200 checkpointing.py:577] checkpoint manager exists so trying to load this run's existing checkpoint I0423 08:03:14.842941 138057675323200 checkpointing.py:665] No existing checkpoints found, not restoring checkpoint. fsdp: 32 I0423 08:03:22.161544 138057675323200 maxtext_utils.py:1707] params/params/decoder/decoder_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.161674 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_0/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.161726 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_0/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.161784 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_0/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.161824 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_0/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.161859 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_0/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.161910 138057675323200 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) I0423 08:03:22.161961 138057675323200 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') I0423 08:03:22.161999 138057675323200 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) I0423 08:03:22.162034 138057675323200 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) I0423 08:03:22.162067 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_1/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162111 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_1/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162151 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_1/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.162184 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_1/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.162214 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_1/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.162251 138057675323200 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) I0423 08:03:22.162292 138057675323200 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') I0423 08:03:22.162327 138057675323200 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) I0423 08:03:22.162359 138057675323200 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) I0423 08:03:22.162391 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_10/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162423 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_10/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162454 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_10/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.162482 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_10/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.162511 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_10/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.162544 138057675323200 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) I0423 08:03:22.162576 138057675323200 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') I0423 08:03:22.162608 138057675323200 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) I0423 08:03:22.162640 138057675323200 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) I0423 08:03:22.162671 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_11/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162702 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_11/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162732 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_11/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.162760 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_11/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.162788 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_11/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.162817 138057675323200 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) I0423 08:03:22.162847 138057675323200 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') I0423 08:03:22.162876 138057675323200 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) I0423 08:03:22.162908 138057675323200 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) I0423 08:03:22.162940 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_12/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.162973 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_12/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.163004 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_12/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.163034 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_12/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.163062 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_12/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.163117 138057675323200 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) I0423 08:03:22.163159 138057675323200 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') I0423 08:03:22.163191 138057675323200 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) I0423 08:03:22.163221 138057675323200 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) I0423 08:03:22.163256 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_13/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.163285 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_13/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.163318 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_13/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.163346 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_13/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.163373 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_13/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.163402 138057675323200 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) I0423 08:03:22.163431 138057675323200 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') I0423 08:03:22.163461 138057675323200 maxtext_utils.py:1707] 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08:03:22.163750 138057675323200 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) I0423 08:03:22.163779 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_15/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.163808 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_15/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.163836 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_15/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.163864 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_15/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.163890 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'kv_heads', 'kv_head_dim') Physical: ('fsdp', None, None) I0423 08:03:22.164035 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_2/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.164066 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_2/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.164107 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_2/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.164137 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_2/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.164165 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_2/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.164195 138057675323200 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) I0423 08:03:22.164225 138057675323200 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') I0423 08:03:22.164262 138057675323200 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) I0423 08:03:22.164292 138057675323200 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) I0423 08:03:22.164329 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_3/mlp/wi_0/kernel Shape: 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'kv_head_dim') Physical: ('fsdp', None, None) I0423 08:03:22.164549 138057675323200 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') I0423 08:03:22.164580 138057675323200 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) I0423 08:03:22.164610 138057675323200 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) I0423 08:03:22.164639 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_4/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.164668 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_4/mlp/wi_1/kernel Shape: 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Logical: P('heads', 'kv', 'embed') Physical: (None, None, 'fsdp') I0423 08:03:22.164839 138057675323200 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) I0423 08:03:22.164869 138057675323200 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) I0423 08:03:22.164899 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_5/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.164927 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_5/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.164956 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_5/mlp/wo/kernel Shape: 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Physical: ('fsdp', None, None) I0423 08:03:22.165740 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_8/mlp/wi_0/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.165768 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_8/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.165796 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_8/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.165823 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_8/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.165850 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_8/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.165879 138057675323200 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Physical: ('fsdp', None) I0423 08:03:22.166056 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_9/mlp/wi_1/kernel Shape: float32[2048,7168] Logical: P('embed', 'mlp') Physical: ('fsdp', None) I0423 08:03:22.166084 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_9/mlp/wo/kernel Shape: float32[7168,2048] Logical: P('mlp', 'embed') Physical: (None, 'fsdp') I0423 08:03:22.166124 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_9/post_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.166152 138057675323200 maxtext_utils.py:1707] params/params/decoder/layers_9/pre_self_attention_layer_norm/scale Shape: float32[2048] Logical: P('norm',) Physical: (None,) I0423 08:03:22.166182 138057675323200 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) I0423 08:03:22.166212 138057675323200 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') I0423 08:03:22.166245 138057675323200 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) I0423 08:03:22.166274 138057675323200 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) I0423 08:03:22.166323 138057675323200 maxtext_utils.py:1707] params/params/decoder/logits_dense/kernel Shape: float32[2048,32000] Logical: P('embed_vocab', 'vocab') Physical: ('fsdp', None) I0423 08:03:22.166368 138057675323200 maxtext_utils.py:1707] params/params/token_embedder/embedding Shape: float32[32000,2048] Logical: P('vocab', 'embed_vocab') Physical: (None, 'fsdp') I0423 08:03:26.794346 138057675323200 train.py:155] train/xent Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length'). I0423 08:03:26.794440 138057675323200 train.py:155] train/xent Physical: float32[32,2048]............................................ ('fsdp', None). I0423 08:03:26.810064 138057675323200 train.py:162] train/z_loss Logical: float32[32,2048]............................................ ('activation_embed_and_logits_batch', 'activation_length'). I0423 08:03:26.810148 138057675323200 train.py:162] train/z_loss Physical: float32[32,2048]............................................ ('fsdp', None). I0423 08:04:23.778403 138057675323200 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 08:04:23.779625 138057675323200 metric_logger.py:301] number parameters: 1.104 billion I0423 08:05:25.121773 138057675323200 checkpointing.py:772] Waiting for step 0 to finish before checkpoint... I0423 08:05:25.345391 138057675323200 checkpointing.py:776] Waited 0.2236003875732422 seconds for step 0 to finish before starting checkpointing. I0423 08:05:25.349152 138057675323200 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning. I0423 08:05:25.350980 138057675323200 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 0 I0423 08:05:25.352353 138057675323200 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints/0. I0423 08:05:26.157580 138057675323200 signaling_client.py:364] Using JaxDistributedSignalingClient I0423 08:05:26.158644 138057675323200 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array. I0423 08:05:26.158771 138057675323200 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 08:05:26.457227 138057675323200 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.300180s I0423 08:05:26.457392 138057675323200 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 4.588 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.33621788024902344 s) (per-host) I0423 08:05:26.457441 138057675323200 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.336275s (batch_requests_ready=0.018661s, total_serialization_initiated=0.317550s, others=0.000064s) I0423 08:05:26.457700 138057675323200 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.340485s (all_items=0.000017s, per_item={'items': '0.00001717'}, temp_paths=0.340468) I0423 08:05:26.458539 138057675323200 event_tracking.py:125] [process=6] [async] Finished blocking save in 1.11 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints/0. I0423 08:05:26.458904 137928369248000 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-23 08:25:26.458866 I0423 08:05:26.507604 138057675323200 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=0] Starting CheckpointManager Save Finalize thread=save_finalize I0423 08:05:26.507977 137932084205312 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save. I0423 08:05:26.508149 138057675323200 standard_logger.py:34] {'step': 0, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1776931525.349133, 'wait_for_prev_duration_secs': 6.151199340820312e-05, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1776931525.351018, 'checkpointer_blocking_duration_secs': 1.1080374717712402, 'get_old_steps_start_time': 1776931526.4590802, 'get_old_steps_duration_secs': 4.410743713378906e-05, 'checkpoint_manager_blocking_start_time': 1776931525.347404, 'checkpoint_manager_blocking_duration_secs': 1.160705804824829} I0423 08:05:26.508342 138057675323200 checkpointing.py:408] Started an asynchronous checkpoint save for step 0 I0423 08:05:26.508395 138057675323200 max_utils.py:750] Memstats: After params initialized: I0423 08:05:26.508447 138057675323200 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_24(process=6,(0,6,0,0)) I0423 08:05:26.508481 138057675323200 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_25(process=6,(1,6,0,0)) I0423 08:05:26.508508 138057675323200 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_28(process=6,(0,7,0,0)) I0423 08:05:26.508532 138057675323200 max_utils.py:756] Using (GB) 0.82 / 31.25 (2.624000%) on TPU_29(process=6,(1,7,0,0)) I0423 08:05:26.866797 138057675323200 metric_logger.py:196] completed step: 0, seconds: 61.342, TFLOP/s/device: 0.221, Tokens/s/device: 33.387, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617 I0423 08:05:27.025209 138057675323200 metric_logger.py:196] completed step: 1, seconds: 1.736, TFLOP/s/device: 7.826, Tokens/s/device: 1179.594, total_weights: 65536, loss: 10.877, lm_loss: 10.877, perplexity: 52938.617 I0423 08:05:27.469827 138057675323200 metric_logger.py:196] completed step: 2, seconds: 0.031, TFLOP/s/device: 444.765, Tokens/s/device: 67039.838, total_weights: 65536, loss: 10.268, lm_loss: 10.268, perplexity: 28794.986 I0423 08:05:27.606175 138057675323200 metric_logger.py:196] completed step: 3, seconds: 0.445, TFLOP/s/device: 30.505, Tokens/s/device: 4598.073, total_weights: 65536, loss: 9.741, lm_loss: 9.741, perplexity: 16999.971 I0423 08:05:27.883059 138057675323200 metric_logger.py:196] completed step: 4, seconds: 0.143, TFLOP/s/device: 95.035, Tokens/s/device: 14324.784, total_weights: 65536, loss: 9.285, lm_loss: 9.285, perplexity: 10778.489 I0423 08:05:27.894690 138057675323200 metric_logger.py:196] completed step: 5, seconds: 0.136, TFLOP/s/device: 99.927, Tokens/s/device: 15062.035, total_weights: 65536, loss: 8.901, lm_loss: 8.901, perplexity: 7336.347 I0423 08:05:30.375991 2828 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com I0423 08:05:32.511241 137932092598016 array_metadata_store.py:203] [process=6][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints/0/items/array_metadatas/process_6 I0423 08:05:52.083383 138057675323200 metric_logger.py:196] completed step: 6, seconds: 0.278, TFLOP/s/device: 48.877, Tokens/s/device: 7367.251, total_weights: 65536, loss: 8.602, lm_loss: 8.602, perplexity: 5440.818 I0423 08:05:52.219369 138057675323200 metric_logger.py:196] completed step: 7, seconds: 24.057, TFLOP/s/device: 0.565, Tokens/s/device: 85.130, total_weights: 65536, loss: 8.393, lm_loss: 8.393, perplexity: 4418.163 I0423 08:05:52.355632 138057675323200 metric_logger.py:196] completed step: 8, seconds: 0.142, TFLOP/s/device: 95.625, Tokens/s/device: 14413.704, total_weights: 65536, loss: 8.264, lm_loss: 8.264, perplexity: 3881.985 I0423 08:05:52.491068 138057675323200 checkpointing.py:772] Waiting for step 9 to finish before checkpoint... I0423 08:05:52.494589 138057675323200 checkpointing.py:776] Waited 0.0035316944122314453 seconds for step 9 to finish before starting checkpointing. I0423 08:05:52.497320 138057675323200 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=0][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete. I0423 08:06:00.930972 137928369248000 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 45.378 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 34.80973935127258 s) (per-host) I0423 08:06:00.931118 137928369248000 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 34.472100s. I0423 08:06:10.174330 137928369248000 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 43.715296s. I0423 08:06:10.174617 137932084205312 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save. I0423 08:06:10.174734 137932084205312 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save. I0423 08:06:10.174785 137932084205312 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is syncing with other hosts... I0423 08:06:10.176432 137932084205312 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=0] CheckpointManager Save Finalize is done on all hosts. I0423 08:06:10.176603 138057675323200 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 08:06:10.176736 138057675323200 checkpoint_manager.py:1452] Waiting for previous save to complete took 17.679417 seconds. If this number is high, consider checkpointing less frequently. I0423 08:06:10.179191 138057675323200 checkpoint_manager.py:1512] [process=6] Saving checkpoint at step 9 I0423 08:06:10.181172 138057675323200 event_tracking.py:70] [process=6] [async] Started save checkpoint @ gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints/9. I0423 08:06:10.923310 138057675323200 jax_array_handlers.py:360] Scheduling D2H of 444 prioritized jax.Array. I0423 08:06:10.923481 138057675323200 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 08:06:11.046299 138057675323200 base_pytree_checkpoint_handler.py:154] [process=6][thread=MainThread] Initiated "orbax.checkpoint._src.serialization.jax_array_handlers.ArrayHandler".serialize. Time taken: 0.124442s I0423 08:06:11.046462 138057675323200 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/blocking_gbytes_per_sec: 9.706 GiB/s (total gbytes: 1.5 GiB) (time elapsed: 0.15893006324768066 s) (per-host) I0423 08:06:11.046511 138057675323200 base_pytree_checkpoint_handler.py:768] [process=6][thread=MainThread] Initiated Pytree async_save. Time taken: 0.158988s (batch_requests_ready=0.018515s, total_serialization_initiated=0.140408s, others=0.000065s) I0423 08:06:11.046797 138057675323200 composite_checkpoint_handler.py:715] [process=6][thread=MainThread] Initiated CompositeCheckpointHandler.async_save. Time taken: 0.163442s (all_items=0.000015s, per_item={'items': '0.00001454'}, temp_paths=0.163427) I0423 08:06:11.047544 138057675323200 event_tracking.py:125] [process=6] [async] Finished blocking save in 0.87 seconds. Continuing save @ gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints/9. I0423 08:06:11.047920 137928889521920 async_checkpointer.py:76] [process=6][thread=async_save] Background save thread started. Deadline for this save operation is 2026-04-23 08:26:11.047879 I0423 08:06:11.059668 138057675323200 checkpoint_manager.py:1560] [process=6][thread=MainThread][step=9] Starting CheckpointManager Save Finalize thread=save_finalize I0423 08:06:11.059909 137932084205312 async_checkpointer.py:280] [process=6][thread=save_finalize] Waiting for background save thread=async_save. I0423 08:06:11.060037 138057675323200 standard_logger.py:34] {'step': 9, 'event_type': 'save', 'directory': 'gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints', 'reached_preemption': False, 'preemption_received_at': None, 'synchronous': False, 'wait_for_prev_start_time': 1776931552.497289, 'wait_for_prev_duration_secs': 17.67941689491272, 'time_between_consecutive_saves_sec': None, 'checkpointer_blocking_start_time': 1776931570.1792295, 'checkpointer_blocking_duration_secs': 0.8688409328460693, 'get_old_steps_start_time': 1776931571.0481064, 'get_old_steps_duration_secs': 3.0279159545898438e-05, 'checkpoint_manager_blocking_start_time': 1776931552.495557, 'checkpoint_manager_blocking_duration_secs': 18.564445972442627} I0423 08:06:11.060258 138057675323200 checkpointing.py:408] Started an asynchronous checkpoint save for step 9 I0423 08:06:11.060306 138057675323200 checkpoint_manager.py:2020] [process=6][thread=MainThread][step=9][wait_until_finished] Waiting for Save Finalize thread (save_finalize) to complete. I0423 08:06:16.482231 137932092598016 array_metadata_store.py:203] [process=6][thread=array_type_handler] Wrote 444 array_metadata.ArrayMetadata to gs://lance-maxtext/linen_ckpt_xpk_main_20260423_071538/linen_xpk_main_20260423_071538_13_scan_layers_false/checkpoints/9/items/array_metadatas/process_6 I0423 08:06:53.002733 137928889521920 base_pytree_checkpoint_handler.py:130] [process=6] /jax/orbax/write/gbytes_per_sec: 37.507 MiB/s (total gbytes: 1.5 GiB) (time elapsed: 42.115159034729004 s) (per-host) I0423 08:06:53.002871 137928889521920 async_checkpointer.py:90] [process=6][thread=async_save] 3 Handler Commit operations completed. Time taken: 41.954834s. I0423 08:07:02.600718 137928889521920 async_checkpointer.py:160] [process=6][thread=async_save] Background save thread done. Time taken: 51.552666s. I0423 08:07:02.601030 137932084205312 async_checkpointer.py:288] [process=6][thread=save_finalize] Done with waiting for background save thread=async_save. I0423 08:07:02.601175 137932084205312 async_checkpointer.py:298] [process=6][thread=save_finalize] No errors found in background save thread=async_save. I0423 08:07:02.601224 137932084205312 checkpoint_manager.py:2137] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is syncing with other hosts... I0423 08:07:02.602705 137932084205312 checkpoint_manager.py:2146] [process=6][thread=save_finalize][step=9] CheckpointManager Save Finalize is done on all hosts. I0423 08:07:02.602881 138057675323200 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 08:07:02.603035 138057675323200 checkpoint_manager.py:2009] [process=6][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning. I0423 08:07:02.604192 138057675323200 metric_logger.py:196] completed step: 9, seconds: 0.137, TFLOP/s/device: 99.374, Tokens/s/device: 14978.753, total_weights: 65536, loss: 8.188, lm_loss: 8.188, perplexity: 3599.097 Per train step: Total TFLOPs: 13.59 split as 93.93% learnable weight flops and 6.07% attention flops XPK End: Thu Apr 23 08:07:13 UTC 2026 EXIT_CODE=0
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