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Log Summary

XPK Start: Sat Apr 25 20:20:19 UTC 2026
2026-04-25 20:20:36.482522: 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)
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
`rope_scaling`'s factor field must be a float >= 1, got 40
`rope_scaling`'s beta_fast field must be a float, got 32
`rope_scaling`'s beta_slow field must be a float, got 1
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
I0425 20:20:40.462960 137093242799936 max_utils.py:273] Attempting to initialize the jax distributed system...
INFO:2026-04-25 20:20:49,502:jax._src.distributed:149: Starting JAX distributed service on [::]:8482
I0425 20:20:49.502413 137093242799936 distributed.py:149] Starting JAX distributed service on [::]:8482
INFO:2026-04-25 20:20:49,504:jax._src.distributed:166: Connecting to JAX distributed service on mt-07-distill-smoke-afxad-slice-job-0-0.mt-07-distill-smoke-afxad:8482
I0425 20:20:49.504888 137093242799936 distributed.py:166] Connecting to JAX distributed service on mt-07-distill-smoke-afxad-slice-job-0-0.mt-07-distill-smoke-afxad:8482
I0425 20:20:50.871732 137093242799936 max_utils.py:284] Jax distributed system initialized!
I0425 20:20:57.363141 137093242799936 max_utils.py:244] Jax distributed system is already initialized.
W0425 20:20:57.493292 137093242799936 pyconfig.py:111] base_output_directory is not provided; Using local directory called maxtext_output
I0425 20:20:57.553258 137093242799936 max_utils.py:244] Jax distributed system is already initialized.
I0425 20:20:57.554524 137093242799936 pyconfig.py:471] Config param abort_on_inf_loss: True
I0425 20:20:57.554575 137093242799936 pyconfig.py:471] Config param abort_on_nan_loss: True
I0425 20:20:57.554600 137093242799936 pyconfig.py:471] Config param act_quantization_calibration_method: absmax
I0425 20:20:57.554629 137093242799936 pyconfig.py:471] Config param activation_dropout_for_audio: 0.0
I0425 20:20:57.554659 137093242799936 pyconfig.py:471] Config param activation_function_for_audio: gelu
I0425 20:20:57.554688 137093242799936 pyconfig.py:471] Config param activations_in_float32: False
I0425 20:20:57.554716 137093242799936 pyconfig.py:471] Config param adam_b1: 0.9
I0425 20:20:57.554748 137093242799936 pyconfig.py:471] Config param adam_b2: 0.95
I0425 20:20:57.554772 137093242799936 pyconfig.py:471] Config param adam_eps: 1e-08
I0425 20:20:57.554798 137093242799936 pyconfig.py:471] Config param adam_eps_root: 0.0
I0425 20:20:57.554823 137093242799936 pyconfig.py:471] Config param adam_weight_decay: 0.1
I0425 20:20:57.554849 137093242799936 pyconfig.py:471] Config param adamw_mask: []
I0425 20:20:57.554890 137093242799936 pyconfig.py:471] Config param add_bos: True
I0425 20:20:57.554916 137093242799936 pyconfig.py:471] Config param add_eos: True
I0425 20:20:57.554939 137093242799936 pyconfig.py:471] Config param allow_split_physical_axes: False
I0425 20:20:57.554965 137093242799936 pyconfig.py:471] Config param ar_cache_axis_order: 1,2,0,3
I0425 20:20:57.554991 137093242799936 pyconfig.py:471] Config param async_checkpointing: True
I0425 20:20:57.555016 137093242799936 pyconfig.py:471] Config param async_scheduling: False
I0425 20:20:57.555042 137093242799936 pyconfig.py:471] Config param attention: dot_product
I0425 20:20:57.555067 137093242799936 pyconfig.py:471] Config param attention_bias: False
I0425 20:20:57.555092 137093242799936 pyconfig.py:471] Config param attention_dropout_for_audio: 0.0
I0425 20:20:57.555124 137093242799936 pyconfig.py:471] Config param attention_out: RematLocation.REMAT
I0425 20:20:57.555153 137093242799936 pyconfig.py:471] Config param attention_output_dim: -1
I0425 20:20:57.555171 137093242799936 pyconfig.py:471] Config param attention_sink: False
I0425 20:20:57.555197 137093242799936 pyconfig.py:471] Config param attention_type: global
I0425 20:20:57.555221 137093242799936 pyconfig.py:471] Config param attn_logits_soft_cap: None
I0425 20:20:57.555244 137093242799936 pyconfig.py:471] Config param audio_path: 
I0425 20:20:57.555265 137093242799936 pyconfig.py:471] Config param audio_placeholder: <|audio|>
I0425 20:20:57.555280 137093242799936 pyconfig.py:471] Config param autoregressive_decode_assert: 
I0425 20:20:57.555296 137093242799936 pyconfig.py:471] Config param base_config: base.yml
I0425 20:20:57.555312 137093242799936 pyconfig.py:471] Config param base_emb_dim: 16
I0425 20:20:57.555331 137093242799936 pyconfig.py:471] Config param base_mlp_dim: 64
I0425 20:20:57.555347 137093242799936 pyconfig.py:471] Config param base_moe_mlp_dim: -1
I0425 20:20:57.555362 137093242799936 pyconfig.py:471] Config param base_num_decoder_layers: 1
I0425 20:20:57.555379 137093242799936 pyconfig.py:471] Config param base_num_kv_heads: 2
I0425 20:20:57.555393 137093242799936 pyconfig.py:471] Config param base_num_query_heads: 2
I0425 20:20:57.555409 137093242799936 pyconfig.py:471] Config param base_output_directory: /deps/maxtext_output
I0425 20:20:57.555424 137093242799936 pyconfig.py:471] Config param batch_size: 1
I0425 20:20:57.555440 137093242799936 pyconfig.py:471] Config param batch_split_factor: 1
I0425 20:20:57.555455 137093242799936 pyconfig.py:471] Config param beta_fast: 32
I0425 20:20:57.555471 137093242799936 pyconfig.py:471] Config param beta_slow: 1
I0425 20:20:57.555485 137093242799936 pyconfig.py:471] Config param bwd_quantization_calibration_method: absmax
I0425 20:20:57.555503 137093242799936 pyconfig.py:471] Config param capacity_factor: -1.0
I0425 20:20:57.555518 137093242799936 pyconfig.py:471] Config param cast_logits_to_fp32: True
I0425 20:20:57.555534 137093242799936 pyconfig.py:471] Config param chat_template: 
I0425 20:20:57.555551 137093242799936 pyconfig.py:471] Config param chat_template_path: 
I0425 20:20:57.555567 137093242799936 pyconfig.py:471] Config param checkpoint_conversion_fn: None
I0425 20:20:57.555583 137093242799936 pyconfig.py:471] Config param checkpoint_dir: /deps/maxtext_output/gpt3-52k_2026-04-25-20-20/checkpoints/
I0425 20:20:57.555600 137093242799936 pyconfig.py:471] Config param checkpoint_is_quantized: False
I0425 20:20:57.555615 137093242799936 pyconfig.py:471] Config param checkpoint_period: 2000
I0425 20:20:57.555630 137093242799936 pyconfig.py:471] Config param checkpoint_storage_concurrent_gb: 96
I0425 20:20:57.555646 137093242799936 pyconfig.py:471] Config param checkpoint_storage_target_data_file_size_bytes: 2147483648
I0425 20:20:57.555662 137093242799936 pyconfig.py:471] Config param checkpoint_storage_use_ocdbt: True
I0425 20:20:57.555676 137093242799936 pyconfig.py:471] Config param checkpoint_storage_use_zarr3: True
I0425 20:20:57.555692 137093242799936 pyconfig.py:471] Config param checkpoint_todelete_full_path: None
I0425 20:20:57.555706 137093242799936 pyconfig.py:471] Config param checkpoint_todelete_subdir: None
I0425 20:20:57.555721 137093242799936 pyconfig.py:471] Config param chips_per_vm: 4
I0425 20:20:57.555736 137093242799936 pyconfig.py:471] Config param chunk_attn_window_size: 0
I0425 20:20:57.555751 137093242799936 pyconfig.py:471] Config param collect_stack_trace: False
I0425 20:20:57.555768 137093242799936 pyconfig.py:471] Config param colocated_python_checkpointing: False
I0425 20:20:57.555784 137093242799936 pyconfig.py:471] Config param colocated_python_data_input: False
I0425 20:20:57.555799 137093242799936 pyconfig.py:471] Config param compile_topology: 
I0425 20:20:57.555815 137093242799936 pyconfig.py:471] Config param compile_topology_num_slices: -1
I0425 20:20:57.555829 137093242799936 pyconfig.py:471] Config param compile_xla_flags: 
I0425 20:20:57.555845 137093242799936 pyconfig.py:471] Config param compiled_trainstep_file: 
I0425 20:20:57.555859 137093242799936 pyconfig.py:471] Config param compute_axis_order: 0,1,2,3
I0425 20:20:57.555901 137093242799936 pyconfig.py:471] Config param constant_bound_config: []
I0425 20:20:57.555918 137093242799936 pyconfig.py:471] Config param context: RematLocation.REMAT
I0425 20:20:57.555936 137093242799936 pyconfig.py:471] Config param context_parallel_load_balance: True
I0425 20:20:57.555951 137093242799936 pyconfig.py:471] Config param context_parallel_reorder_strategy: ReorderStrategy.AUTO
I0425 20:20:57.555968 137093242799936 pyconfig.py:471] Config param context_parallel_size: 1
I0425 20:20:57.555984 137093242799936 pyconfig.py:471] Config param context_parallel_strategy: all_gather
I0425 20:20:57.555999 137093242799936 pyconfig.py:471] Config param context_sharding: context
I0425 20:20:57.556014 137093242799936 pyconfig.py:471] Config param conv_chunksize_for_audio: 500
I0425 20:20:57.556028 137093242799936 pyconfig.py:471] Config param conv_stride_for_vit: 14
I0425 20:20:57.556044 137093242799936 pyconfig.py:471] Config param convert_checkpoint_if_possible: False
I0425 20:20:57.556058 137093242799936 pyconfig.py:471] Config param cost_estimate_flops_bwd: -1
I0425 20:20:57.556073 137093242799936 pyconfig.py:471] Config param cost_estimate_flops_fwd: -1
I0425 20:20:57.556088 137093242799936 pyconfig.py:471] Config param custom_mesh: 
I0425 20:20:57.556104 137093242799936 pyconfig.py:471] Config param custom_mesh_and_rule: 
I0425 20:20:57.556118 137093242799936 pyconfig.py:471] Config param d_model_for_audio: 256
I0425 20:20:57.556132 137093242799936 pyconfig.py:471] Config param data_sharding: (('data', 'stage', 'fsdp', 'fsdp_transpose', 'sequence', 'context', 'context_autoregressive', 'tensor', 'tensor_transpose', 'tensor_sequence', 'expert', 'autoregressive'),)
I0425 20:20:57.556151 137093242799936 pyconfig.py:471] Config param data_shuffle_seed: 0
I0425 20:20:57.556166 137093242799936 pyconfig.py:471] Config param dataset_name: c4/en:3.0.1
I0425 20:20:57.556181 137093242799936 pyconfig.py:471] Config param dataset_path: 
I0425 20:20:57.556195 137093242799936 pyconfig.py:471] Config param dataset_type: DatasetType.HF
I0425 20:20:57.556213 137093242799936 pyconfig.py:471] Config param dcn_autoregressive_parallelism: 1
I0425 20:20:57.556228 137093242799936 pyconfig.py:471] Config param dcn_context_autoregressive_parallelism: 1
I0425 20:20:57.556243 137093242799936 pyconfig.py:471] Config param dcn_context_parallelism: 1
I0425 20:20:57.556258 137093242799936 pyconfig.py:471] Config param dcn_data_parallelism: -1
I0425 20:20:57.556274 137093242799936 pyconfig.py:471] Config param dcn_diloco_parallelism: 1
I0425 20:20:57.556288 137093242799936 pyconfig.py:471] Config param dcn_expert_parallelism: 1
I0425 20:20:57.556304 137093242799936 pyconfig.py:471] Config param dcn_fsdp_parallelism: 1
I0425 20:20:57.556318 137093242799936 pyconfig.py:471] Config param dcn_fsdp_transpose_parallelism: 1
I0425 20:20:57.556339 137093242799936 pyconfig.py:471] Config param dcn_parallelism: [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
I0425 20:20:57.556355 137093242799936 pyconfig.py:471] Config param dcn_pipeline_parallelism: 1
I0425 20:20:57.556371 137093242799936 pyconfig.py:471] Config param dcn_sequence_parallelism: 1
I0425 20:20:57.556385 137093242799936 pyconfig.py:471] Config param dcn_tensor_parallelism: 1
I0425 20:20:57.556400 137093242799936 pyconfig.py:471] Config param dcn_tensor_sequence_parallelism: 1
I0425 20:20:57.556416 137093242799936 pyconfig.py:471] Config param dcn_tensor_transpose_parallelism: 1
I0425 20:20:57.556430 137093242799936 pyconfig.py:471] Config param debug: {'rl': False}
I0425 20:20:57.556446 137093242799936 pyconfig.py:471] Config param debug_sharding: False
I0425 20:20:57.556461 137093242799936 pyconfig.py:471] Config param decode_sampling_nucleus_p: -1
I0425 20:20:57.556476 137093242799936 pyconfig.py:471] Config param decode_sampling_strategy: SamplingStrategy.GREEDY
I0425 20:20:57.556493 137093242799936 pyconfig.py:471] Config param decode_sampling_temperature: 1.0
I0425 20:20:57.556509 137093242799936 pyconfig.py:471] Config param decode_sampling_top_k: 0
I0425 20:20:57.556523 137093242799936 pyconfig.py:471] Config param decoder_block: DecoderBlockType.GPT3
I0425 20:20:57.556540 137093242799936 pyconfig.py:471] Config param decoder_layer_input: RematLocation.DEVICE
I0425 20:20:57.556555 137093242799936 pyconfig.py:471] Config param deepstack_visual_indexes_for_vit: []
I0425 20:20:57.556570 137093242799936 pyconfig.py:471] Config param degenerate_group_masking: True
I0425 20:20:57.556586 137093242799936 pyconfig.py:471] Config param dense_init_scale: 1.0
I0425 20:20:57.556600 137093242799936 pyconfig.py:471] Config param diloco_outer_lr: 0.3
I0425 20:20:57.556616 137093242799936 pyconfig.py:471] Config param diloco_outer_momentum: 0.9
I0425 20:20:57.556632 137093242799936 pyconfig.py:471] Config param diloco_sync_period: 36
I0425 20:20:57.556647 137093242799936 pyconfig.py:471] Config param distill_alpha: 0.5
I0425 20:20:57.556663 137093242799936 pyconfig.py:471] Config param distill_alpha_end: None
I0425 20:20:57.556678 137093242799936 pyconfig.py:471] Config param distill_alpha_schedule: constant
I0425 20:20:57.556692 137093242799936 pyconfig.py:471] Config param distill_beta: 0.0
I0425 20:20:57.556708 137093242799936 pyconfig.py:471] Config param distill_beta_end: None
I0425 20:20:57.556724 137093242799936 pyconfig.py:471] Config param distill_beta_schedule: constant
I0425 20:20:57.556741 137093242799936 pyconfig.py:471] Config param distill_feature_loss_type: cosine
I0425 20:20:57.556756 137093242799936 pyconfig.py:471] Config param distill_layer_indices: None
I0425 20:20:57.556770 137093242799936 pyconfig.py:471] Config param distill_temperature: 1.0
I0425 20:20:57.556786 137093242799936 pyconfig.py:471] Config param distill_temperature_end: None
I0425 20:20:57.556800 137093242799936 pyconfig.py:471] Config param distill_temperature_schedule: constant
I0425 20:20:57.556815 137093242799936 pyconfig.py:471] Config param downsample_hidden_size_for_audio: 256
I0425 20:20:57.556830 137093242799936 pyconfig.py:471] Config param dpo_beta: 0.1
I0425 20:20:57.556845 137093242799936 pyconfig.py:471] Config param dpo_label_smoothing: 0.0
I0425 20:20:57.556861 137093242799936 pyconfig.py:471] Config param dq_reduction_steps: 0
I0425 20:20:57.556887 137093242799936 pyconfig.py:471] Config param dropout_rate: 0.0
I0425 20:20:57.556901 137093242799936 pyconfig.py:471] Config param dtype: bfloat16
I0425 20:20:57.556931 137093242799936 pyconfig.py:471] Config param dtype_mm: float32
I0425 20:20:57.556946 137093242799936 pyconfig.py:471] Config param dump_hlo: False
I0425 20:20:57.556961 137093242799936 pyconfig.py:471] Config param dump_hlo_delete_local_after: True
I0425 20:20:57.556977 137093242799936 pyconfig.py:471] Config param dump_hlo_gcs_dir: /deps/maxtext_output/gpt3-52k_2026-04-25-20-20/xla_dump
I0425 20:20:57.556992 137093242799936 pyconfig.py:471] Config param dump_hlo_local_dir: /tmp/xla_dump/
I0425 20:20:57.557007 137093242799936 pyconfig.py:471] Config param dump_hlo_local_module_name: jit_train_step
I0425 20:20:57.557021 137093242799936 pyconfig.py:471] Config param dump_hlo_module_name: jit_train_step
I0425 20:20:57.557037 137093242799936 pyconfig.py:471] Config param dump_hlo_upload_all: False
I0425 20:20:57.557059 137093242799936 pyconfig.py:471] Config param dump_hlo_xla_flags: 
I0425 20:20:57.557085 137093242799936 pyconfig.py:471] Config param dump_jaxpr: False
I0425 20:20:57.557110 137093242799936 pyconfig.py:471] Config param dump_jaxpr_delete_local_after: True
I0425 20:20:57.557135 137093242799936 pyconfig.py:471] Config param dump_jaxpr_gcs_dir: /deps/maxtext_output/gpt3-52k_2026-04-25-20-20/jaxpr_dump
I0425 20:20:57.557161 137093242799936 pyconfig.py:471] Config param dump_jaxpr_local_dir: /tmp/jaxpr_dump/
I0425 20:20:57.557186 137093242799936 pyconfig.py:471] Config param dump_step: -1
I0425 20:20:57.557211 137093242799936 pyconfig.py:471] Config param elastic_enabled: False
I0425 20:20:57.557230 137093242799936 pyconfig.py:471] Config param elastic_max_retries: 10
I0425 20:20:57.557246 137093242799936 pyconfig.py:471] Config param elastic_timeout_seconds: 300
I0425 20:20:57.557261 137093242799936 pyconfig.py:471] Config param emb_dim: 16
I0425 20:20:57.557275 137093242799936 pyconfig.py:471] Config param enable_autocheckpoint: False
I0425 20:20:57.557291 137093242799936 pyconfig.py:471] Config param enable_checkpoint_cloud_logger: False
I0425 20:20:57.557305 137093242799936 pyconfig.py:471] Config param enable_checkpointing: True
I0425 20:20:57.557323 137093242799936 pyconfig.py:471] Config param enable_continuous_checkpointing: False
I0425 20:20:57.557345 137093242799936 pyconfig.py:471] Config param enable_data_shuffling: True
I0425 20:20:57.557369 137093242799936 pyconfig.py:471] Config param enable_diloco: False
I0425 20:20:57.557393 137093242799936 pyconfig.py:471] Config param enable_dp_attention: False
I0425 20:20:57.557410 137093242799936 pyconfig.py:471] Config param enable_dropout: False
I0425 20:20:57.557424 137093242799936 pyconfig.py:471] Config param enable_emergency_checkpoint: False
I0425 20:20:57.557447 137093242799936 pyconfig.py:471] Config param enable_expert_parallel: False
I0425 20:20:57.557472 137093242799936 pyconfig.py:471] Config param enable_gcp_goodput_metrics: True
I0425 20:20:57.557496 137093242799936 pyconfig.py:471] Config param enable_gcp_step_deviation_metrics: True
I0425 20:20:57.557520 137093242799936 pyconfig.py:471] Config param enable_goodput_recording: False
I0425 20:20:57.557544 137093242799936 pyconfig.py:471] Config param enable_jax_profiler: False
I0425 20:20:57.557569 137093242799936 pyconfig.py:471] Config param enable_llm_inference_pool: False
I0425 20:20:57.557592 137093242799936 pyconfig.py:471] Config param enable_model_warmup: False
I0425 20:20:57.557615 137093242799936 pyconfig.py:471] Config param enable_multi_tier_checkpointing: False
I0425 20:20:57.557640 137093242799936 pyconfig.py:471] Config param enable_nnx: False
I0425 20:20:57.557664 137093242799936 pyconfig.py:471] Config param enable_orbax_v1: False
I0425 20:20:57.557688 137093242799936 pyconfig.py:471] Config param enable_padding_causal_mask: True
I0425 20:20:57.557712 137093242799936 pyconfig.py:471] Config param enable_pathways_goodput: False
I0425 20:20:57.557734 137093242799936 pyconfig.py:471] Config param enable_prefix_caching: False
I0425 20:20:57.557758 137093242799936 pyconfig.py:471] Config param enable_rampup_batch_size: False
I0425 20:20:57.557783 137093242799936 pyconfig.py:471] Config param enable_single_controller: False
I0425 20:20:57.557808 137093242799936 pyconfig.py:471] Config param enable_single_replica_ckpt_restoring: False
I0425 20:20:57.557833 137093242799936 pyconfig.py:471] Config param enable_tensorboard: True
I0425 20:20:57.557857 137093242799936 pyconfig.py:471] Config param enable_tunix_perf_metrics: False
I0425 20:20:57.557895 137093242799936 pyconfig.py:471] Config param encoder_attention_heads_for_audio: 4
I0425 20:20:57.557920 137093242799936 pyconfig.py:471] Config param encoder_ffn_dim_for_audio: 512
I0425 20:20:57.557943 137093242799936 pyconfig.py:471] Config param encoder_layers_for_audio: 2
I0425 20:20:57.557967 137093242799936 pyconfig.py:471] Config param engram: RematLocation.REMAT
I0425 20:20:57.557994 137093242799936 pyconfig.py:471] Config param engram_head_dim: 1280
I0425 20:20:57.558020 137093242799936 pyconfig.py:471] Config param engram_kernel_size: 4
I0425 20:20:57.558043 137093242799936 pyconfig.py:471] Config param engram_layers: []
I0425 20:20:57.558064 137093242799936 pyconfig.py:471] Config param engram_max_ngram_size: 3
I0425 20:20:57.558079 137093242799936 pyconfig.py:471] Config param engram_num_heads: 8
I0425 20:20:57.558102 137093242799936 pyconfig.py:471] Config param engram_seed: 0
I0425 20:20:57.558125 137093242799936 pyconfig.py:471] Config param engram_vocab_bases: []
I0425 20:20:57.558149 137093242799936 pyconfig.py:471] Config param epsilon_high: None
I0425 20:20:57.558172 137093242799936 pyconfig.py:471] Config param eval_corr_lst: False
I0425 20:20:57.558196 137093242799936 pyconfig.py:471] Config param eval_data_columns: ['text']
I0425 20:20:57.558221 137093242799936 pyconfig.py:471] Config param eval_dataset_name: c4/en:3.0.1
I0425 20:20:57.558245 137093242799936 pyconfig.py:471] Config param eval_image_column: image
I0425 20:20:57.558269 137093242799936 pyconfig.py:471] Config param eval_interval: -1
I0425 20:20:57.558294 137093242799936 pyconfig.py:471] Config param eval_make_lst: False
I0425 20:20:57.558315 137093242799936 pyconfig.py:471] Config param eval_per_device_batch_size: 2
I0425 20:20:57.558338 137093242799936 pyconfig.py:471] Config param eval_sampling_strategy: greedy
I0425 20:20:57.558354 137093242799936 pyconfig.py:471] Config param eval_split: validation
I0425 20:20:57.558368 137093242799936 pyconfig.py:471] Config param eval_steps: -1
I0425 20:20:57.558383 137093242799936 pyconfig.py:471] Config param expansion_factor_real_data: -1.0
I0425 20:20:57.558399 137093242799936 pyconfig.py:471] Config param final_logits_soft_cap: None
I0425 20:20:57.558415 137093242799936 pyconfig.py:471] Config param first_num_dense_layers: 0
I0425 20:20:57.558429 137093242799936 pyconfig.py:471] Config param float32_gate_logits: False
I0425 20:20:57.558448 137093242799936 pyconfig.py:471] Config param float32_logits: False
I0425 20:20:57.558472 137093242799936 pyconfig.py:471] Config param float32_qk_product: False
I0425 20:20:57.558496 137093242799936 pyconfig.py:471] Config param float32_weight_sum: True
I0425 20:20:57.558521 137093242799936 pyconfig.py:471] Config param force_q_layout: False
I0425 20:20:57.558545 137093242799936 pyconfig.py:471] Config param force_unroll: False
I0425 20:20:57.558569 137093242799936 pyconfig.py:471] Config param freeze_audio_encoder_params: True
I0425 20:20:57.558593 137093242799936 pyconfig.py:471] Config param freeze_vision_encoder_params: True
I0425 20:20:57.558617 137093242799936 pyconfig.py:471] Config param fused_mlp: False
I0425 20:20:57.558641 137093242799936 pyconfig.py:471] Config param fused_qkv: True
I0425 20:20:57.558665 137093242799936 pyconfig.py:471] Config param gcs_metrics: False
I0425 20:20:57.558689 137093242799936 pyconfig.py:471] Config param gdn_chunk_size: 64
I0425 20:20:57.558713 137093242799936 pyconfig.py:471] Config param gdn_conv_kernel_dim: 4
I0425 20:20:57.558737 137093242799936 pyconfig.py:471] Config param gdn_key_head_dim: 128
I0425 20:20:57.558761 137093242799936 pyconfig.py:471] Config param gdn_num_key_heads: 16
I0425 20:20:57.558784 137093242799936 pyconfig.py:471] Config param gdn_num_value_heads: 32
I0425 20:20:57.558809 137093242799936 pyconfig.py:471] Config param gdn_value_head_dim: 128
I0425 20:20:57.558833 137093242799936 pyconfig.py:471] Config param generate_padding_batch_eval: False
I0425 20:20:57.558858 137093242799936 pyconfig.py:471] Config param generate_padding_batch_train: False
I0425 20:20:57.558895 137093242799936 pyconfig.py:471] Config param generate_slice: v5e-16
I0425 20:20:57.558920 137093242799936 pyconfig.py:471] Config param generation_configs: {}
I0425 20:20:57.558946 137093242799936 pyconfig.py:471] Config param global_batch_size_to_eval_on: 64
I0425 20:20:57.558970 137093242799936 pyconfig.py:471] Config param global_batch_size_to_load: 512
I0425 20:20:57.558994 137093242799936 pyconfig.py:471] Config param global_batch_size_to_load_eval: 64
I0425 20:20:57.559016 137093242799936 pyconfig.py:471] Config param global_batch_size_to_load_increment: None
I0425 20:20:57.559037 137093242799936 pyconfig.py:471] Config param global_batch_size_to_load_start: None
I0425 20:20:57.559055 137093242799936 pyconfig.py:471] Config param global_batch_size_to_train_on: 512
I0425 20:20:57.559071 137093242799936 pyconfig.py:471] Config param global_head_dim: 0
I0425 20:20:57.559087 137093242799936 pyconfig.py:471] Config param global_num_kv_heads: 0
I0425 20:20:57.559101 137093242799936 pyconfig.py:471] Config param global_parameter_scale: 1
I0425 20:20:57.559116 137093242799936 pyconfig.py:471] Config param global_rampup_samples: 500
I0425 20:20:57.559131 137093242799936 pyconfig.py:471] Config param global_rope_max_timescale: -1
I0425 20:20:57.559149 137093242799936 pyconfig.py:471] Config param global_rope_proportion: 0.25
I0425 20:20:57.559175 137093242799936 pyconfig.py:471] Config param goodput_upload_interval_seconds: 30
I0425 20:20:57.559197 137093242799936 pyconfig.py:471] Config param grad_dtype: float32
I0425 20:20:57.559245 137093242799936 pyconfig.py:471] Config param gradient_accumulation_steps: 8
I0425 20:20:57.559269 137093242799936 pyconfig.py:471] Config param gradient_clipping_threshold: 1.0
I0425 20:20:57.559295 137093242799936 pyconfig.py:471] Config param grain_data_source_max_workers: 16
I0425 20:20:57.559324 137093242799936 pyconfig.py:471] Config param grain_eval_files: 
I0425 20:20:57.559349 137093242799936 pyconfig.py:471] Config param grain_file_type: arrayrecord
I0425 20:20:57.559374 137093242799936 pyconfig.py:471] Config param grain_num_threads: 16
I0425 20:20:57.559398 137093242799936 pyconfig.py:471] Config param grain_num_threads_eval: 16
I0425 20:20:57.559422 137093242799936 pyconfig.py:471] Config param grain_packing_type: first_fit
I0425 20:20:57.559446 137093242799936 pyconfig.py:471] Config param grain_per_worker_buffer_size: 1
I0425 20:20:57.559470 137093242799936 pyconfig.py:471] Config param grain_per_worker_buffer_size_eval: 1
I0425 20:20:57.559494 137093242799936 pyconfig.py:471] Config param grain_prefetch_buffer_size: 500
I0425 20:20:57.559519 137093242799936 pyconfig.py:471] Config param grain_prefetch_buffer_size_eval: 500
I0425 20:20:57.559543 137093242799936 pyconfig.py:471] Config param grain_ram_budget_mb: 1024
I0425 20:20:57.559564 137093242799936 pyconfig.py:471] Config param grain_shuffle_buffer_size: 100
I0425 20:20:57.559584 137093242799936 pyconfig.py:471] Config param grain_train_files: 
I0425 20:20:57.559603 137093242799936 pyconfig.py:471] Config param grain_train_mixture_config_path: 
I0425 20:20:57.559617 137093242799936 pyconfig.py:471] Config param grain_worker_count: 1
I0425 20:20:57.559634 137093242799936 pyconfig.py:471] Config param grain_worker_count_eval: 1
I0425 20:20:57.559658 137093242799936 pyconfig.py:471] Config param grpo_beta: 0.08
I0425 20:20:57.559683 137093242799936 pyconfig.py:471] Config param grpo_epsilon: 0.2
I0425 20:20:57.559707 137093242799936 pyconfig.py:471] Config param hardware: tpu
I0425 20:20:57.559729 137093242799936 pyconfig.py:471] Config param hbm_utilization_vllm: 0.72
I0425 20:20:57.559754 137093242799936 pyconfig.py:471] Config param head_dim: 8
I0425 20:20:57.559777 137093242799936 pyconfig.py:471] Config param heartbeat_reporting_interval_in_seconds: 5
I0425 20:20:57.559801 137093242799936 pyconfig.py:471] Config param hf_data_dir: None
I0425 20:20:57.559825 137093242799936 pyconfig.py:471] Config param hf_eval_files: None
I0425 20:20:57.559848 137093242799936 pyconfig.py:471] Config param hf_eval_split: None
I0425 20:20:57.559881 137093242799936 pyconfig.py:471] Config param hf_name: None
I0425 20:20:57.559905 137093242799936 pyconfig.py:471] Config param hf_path: OptimalScale/ClimbMix
I0425 20:20:57.559928 137093242799936 pyconfig.py:471] Config param hf_train_files: None
I0425 20:20:57.559953 137093242799936 pyconfig.py:471] Config param hidden_size_for_vit: 1408
I0425 20:20:57.559976 137093242799936 pyconfig.py:471] Config param hide_profiler_step_metric: False
I0425 20:20:57.559999 137093242799936 pyconfig.py:471] Config param ici_autoregressive_parallelism: 1
I0425 20:20:57.560023 137093242799936 pyconfig.py:471] Config param ici_context_autoregressive_parallelism: 1
I0425 20:20:57.560047 137093242799936 pyconfig.py:471] Config param ici_context_parallelism: 1
I0425 20:20:57.560071 137093242799936 pyconfig.py:471] Config param ici_data_parallelism: 1
I0425 20:20:57.560096 137093242799936 pyconfig.py:471] Config param ici_diloco_parallelism: 1
I0425 20:20:57.560120 137093242799936 pyconfig.py:471] Config param ici_expert_parallelism: 1
I0425 20:20:57.560144 137093242799936 pyconfig.py:471] Config param ici_fsdp_parallelism: -1
I0425 20:20:57.560168 137093242799936 pyconfig.py:471] Config param ici_fsdp_transpose_parallelism: 1
I0425 20:20:57.560192 137093242799936 pyconfig.py:471] Config param ici_parallelism: [1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
I0425 20:20:57.560217 137093242799936 pyconfig.py:471] Config param ici_pipeline_parallelism: 1
I0425 20:20:57.560241 137093242799936 pyconfig.py:471] Config param ici_sequence_parallelism: 1
I0425 20:20:57.560265 137093242799936 pyconfig.py:471] Config param ici_tensor_parallelism: 1
I0425 20:20:57.560288 137093242799936 pyconfig.py:471] Config param ici_tensor_sequence_parallelism: 1
I0425 20:20:57.560311 137093242799936 pyconfig.py:471] Config param ici_tensor_transpose_parallelism: 1
I0425 20:20:57.560339 137093242799936 pyconfig.py:471] Config param image_path: 
I0425 20:20:57.560363 137093242799936 pyconfig.py:471] Config param image_placeholder: <|image|>
I0425 20:20:57.560388 137093242799936 pyconfig.py:471] Config param image_size_for_vit: 896
I0425 20:20:57.560414 137093242799936 pyconfig.py:471] Config param indexer_head_dim: 128
I0425 20:20:57.560439 137093242799936 pyconfig.py:471] Config param indexer_loss_scaling_factor: 0.0
I0425 20:20:57.560463 137093242799936 pyconfig.py:471] Config param indexer_n_heads: 64
I0425 20:20:57.560487 137093242799936 pyconfig.py:471] Config param indexer_sparse_training: False
I0425 20:20:57.560511 137093242799936 pyconfig.py:471] Config param indexer_topk: 2048
I0425 20:20:57.560533 137093242799936 pyconfig.py:471] Config param inference_benchmark_test: False
I0425 20:20:57.560554 137093242799936 pyconfig.py:471] Config param inference_metadata_file: 
I0425 20:20:57.560574 137093242799936 pyconfig.py:471] Config param inference_microbenchmark_log_file_path: 
I0425 20:20:57.560596 137093242799936 pyconfig.py:471] Config param inference_microbenchmark_loop_iters: 10
I0425 20:20:57.560618 137093242799936 pyconfig.py:471] Config param inference_microbenchmark_num_samples: [1, 2, 3, 4, 5]
I0425 20:20:57.560641 137093242799936 pyconfig.py:471] Config param inference_microbenchmark_prefill_lengths: 64,128,256,512,1024
I0425 20:20:57.560662 137093242799936 pyconfig.py:471] Config param inference_microbenchmark_stages: prefill,generate
I0425 20:20:57.560683 137093242799936 pyconfig.py:471] Config param inference_server: MaxtextInterleavedServer
I0425 20:20:57.560706 137093242799936 pyconfig.py:471] Config param inhomogeneous_layer_cycle_interval: 1
I0425 20:20:57.560728 137093242799936 pyconfig.py:471] Config param init_weights_seed: 0
I0425 20:20:57.560749 137093242799936 pyconfig.py:471] Config param input_data_sharding_logical_axes: ['activation_embed_and_logits_batch', 'activation_norm_length']
I0425 20:20:57.560773 137093242799936 pyconfig.py:471] Config param interleave_moe_layer_step: 1
I0425 20:20:57.560796 137093242799936 pyconfig.py:471] Config param intermediate_size_for_vit: 5632
I0425 20:20:57.560818 137093242799936 pyconfig.py:471] Config param internal_compile: False
I0425 20:20:57.560840 137093242799936 pyconfig.py:471] Config param internal_compile_num_devices: -1
I0425 20:20:57.560863 137093242799936 pyconfig.py:471] Config param jax_cache_dir: ~/jax_cache
I0425 20:20:57.560900 137093242799936 pyconfig.py:471] Config param jax_debug_log_modules: 
I0425 20:20:57.560924 137093242799936 pyconfig.py:471] Config param jax_distributed_initialization_timeout: 300
I0425 20:20:57.560946 137093242799936 pyconfig.py:471] Config param jax_profiler_port: 9999
I0425 20:20:57.560969 137093242799936 pyconfig.py:471] Config param key_proj: RematLocation.REMAT
I0425 20:20:57.560994 137093242799936 pyconfig.py:471] Config param kv_cache_buffer: 256
I0425 20:20:57.561016 137093242799936 pyconfig.py:471] Config param kv_lora_rank: 512
I0425 20:20:57.561038 137093242799936 pyconfig.py:471] Config param kv_quant_axis: KvQuantAxis.HEADS_AND_DKV
I0425 20:20:57.561064 137093242799936 pyconfig.py:471] Config param kv_quant_dtype: int8
I0425 20:20:57.561087 137093242799936 pyconfig.py:471] Config param kv_wa_proj: RematLocation.REMAT
I0425 20:20:57.561110 137093242799936 pyconfig.py:471] Config param learning_rate: 0.0002
I0425 20:20:57.561132 137093242799936 pyconfig.py:471] Config param learning_rate_final_fraction: 0.1
I0425 20:20:57.561156 137093242799936 pyconfig.py:471] Config param learning_rate_schedule_steps: 200000
I0425 20:20:57.561179 137093242799936 pyconfig.py:471] Config param load_balance_loss_weight: 0.0
I0425 20:20:57.561202 137093242799936 pyconfig.py:471] Config param load_checkpoint_only_once: False
I0425 20:20:57.561225 137093242799936 pyconfig.py:471] Config param load_from_prefill_dir: False
I0425 20:20:57.561248 137093242799936 pyconfig.py:471] Config param load_full_state_path: 
I0425 20:20:57.561270 137093242799936 pyconfig.py:471] Config param load_parameters_path: gs://lance-maxtext/pt_seed_ckpts/pt_seed_ckpts/pt_seed_ckpt_gpt352k_v32k_linen/checkpoints/4/items
I0425 20:20:57.561293 137093242799936 pyconfig.py:471] Config param local_checkpoint_directory: 
I0425 20:20:57.561316 137093242799936 pyconfig.py:471] Config param local_checkpoint_period: 0
I0425 20:20:57.561343 137093242799936 pyconfig.py:471] Config param local_rope_max_timescale: -1
I0425 20:20:57.561366 137093242799936 pyconfig.py:471] Config param local_rope_proportion: 1.0
I0425 20:20:57.561389 137093242799936 pyconfig.py:471] Config param log_config: True
I0425 20:20:57.561411 137093242799936 pyconfig.py:471] Config param log_period: 10
I0425 20:20:57.561434 137093242799936 pyconfig.py:471] Config param logical_axis_rules: (('activation_embed_and_logits_batch', ('data', 'stage', 'fsdp', 'fsdp_transpose', 'expert')), ('activation_embed_and_logits_batch_sequence', ('data', 'stage', 'fsdp', 'fsdp_transpose', 'sequence', 'context', 'expert')), ('activation_vocab', ('tensor', 'tensor_transpose', 'tensor_sequence')), ('activation_vocab', ('tensor', 'tensor_transpose')), ('activation_vocab', 'tensor_sequence'), ('activation_vocab', ('sequence', 'context')), ('vocab', ('tensor', 'tensor_transpose', 'tensor_sequence', 'autoregressive')), ('embed_vocab', ('fsdp', 'fsdp_transpose', 'sequence', 'context', 'expert')), ('activation_heads', ('tensor', 'tensor_transpose', 'sequence', 'tensor_sequence', 'autoregressive')), ('activation_kv_heads', ('tensor', 'tensor_transpose', 'sequence', 'tensor_sequence')), ('activation_attn_length', ('sequence', 'context')), ('activation_attn_length', ('context',)), ('activation_q_length', ('context',)), ('activation_kv_length', ()), ('activation_attn_embed', ('tensor', 'tensor_transpose')), ('activation_kv', ('tensor', 'tensor_transpose', 'tensor_sequence')), ('activation_kv_batch', ('data', 'fsdp', 'fsdp_transpose', 'expert')), ('activation_kv_head_dim', ('tensor', 'tensor_transpose', 'tensor_sequence')), ('heads', ('tensor', 'tensor_transpose', 'tensor_sequence', 'autoregressive')), ('q_heads', ('tensor', 'tensor_transpose', 'tensor_sequence', 'autoregressive')), ('kv_heads', ('tensor', 'tensor_transpose', 'tensor_sequence', 'autoregressive')), ('qkv', ()), ('kv', ()), ('kv_head_dim', ()), ('q_lora', ('fsdp', 'fsdp_transpose', 'sequence', 'context', 'tensor_transpose', 'expert')), ('q_lora', ('fsdp', 'sequence', 'context', 'tensor_transpose', 'expert')), ('q_lora', ('fsdp', 'fsdp_transpose', 'sequence', 'context', 'expert')), ('q_lora', ('fsdp', 'sequence', 'context', 'expert')), ('q_lora_up_proj', ()), ('kv_lora', ('fsdp', 'fsdp_transpose', 'sequence', 'context', 'tensor_transpose', 'expert')), ('kv_lora', ('fsdp', 'sequence', 'context', 'tensor_transpose', 'expert')), ('kv_lora', ('fsdp', 'fsdp_transpose', 'sequence', 'context', 'expert')), ('kv_lora', ('fsdp', 'sequence', 'context', 'expert')), ('kv_lora_up_proj', ()), ('activation_batch_moe', ('data', 'fsdp', 'fsdp_transpose')), ('activation_length_moe', ('sequence', 'context')), ('activation_length_moe', ('context',)), ('activation_norm_length_moe', ('tensor_sequence', 'context', 'sequence')), ('activation_embed_moe', ('tensor', 'tensor_transpose')), ('activation_mlp_moe', ('tensor', 'tensor_transpose', 'tensor_sequence')), ('activation_exp', ('expert',)), ('exp', 'expert'), ('mlp_moe', ('fsdp_transpose', 'tensor', 'tensor_sequence', 'autoregressive')), ('embed_moe', ('fsdp', 'fsdp_transpose', 'sequence', 'tensor_transpose', 'context')), ('embed_moe', ('fsdp', 'sequence', 'tensor_transpose', 'context')), ('embed_moe', ('fsdp', 'fsdp_transpose', 'sequence', 'context')), ('embed_moe', ('fsdp', 'sequence', 'context')), ('activation_mlp', ('tensor', 'tensor_transpose', 'tensor_sequence')), ('activation_batch', ('data', 'fsdp', 'fsdp_transpose', 'expert')), ('activation_length', ('sequence', 'context')), ('activation_length', ('context',)), ('activation_norm_length', ('tensor_sequence', 'context', 'sequence')), ('activation_embed', ('tensor', 'tensor_transpose')), ('activation_stage', 'stage'), ('mlp', ('fsdp_transpose', 'tensor', 'tensor_sequence', 'autoregressive')), ('embed', ('fsdp', 'fsdp_transpose', 'sequence', 'tensor_transpose', 'context', 'expert')), ('embed', ('fsdp', 'sequence', 'tensor_transpose', 'context', 'expert')), ('embed', ('fsdp', 'fsdp_transpose', 'sequence', 'context', 'expert')), ('embed', ('fsdp', 'sequence', 'context', 'expert')), ('norm', ('tensor', 'tensor_transpose')), ('layers', 'stage'), ('diloco', 'diloco'), ('engram_dim', ('tensor',)), ('dense_layers', ()), ('moe_layers', ()), ('mhc', ()), ('prefill_activation_length', ('sequence', 'context')), ('prefill_activation_norm_length', ('tensor_sequence', 'context', 'sequence')), ('activation_prefill_kv_batch', ('data', 'fsdp', 'fsdp_transpose', 'expert')), ('decode_batch', ('data', 'fsdp', 'fsdp_transpose', 'expert')), ('decode_length', ('sequence',)), ('cache_heads', ('autoregressive', 'tensor', 'tensor_transpose', 'tensor_sequence')), ('cache_heads', ('autoregressive', 'tensor', 'tensor_sequence')), ('paged_kv_heads', ('tensor',)), ('cache_batch_prefill', ()), ('cache_batch', ()), ('cache_heads_none', ()), ('cache_kv', ()), ('cache_sequence', ()), ('num_pages', ()), ('tokens_per_page', ()), ('paged_kv_head_dim_size', ()), ('mlp_no_fsdp', ('tensor', 'tensor_sequence', 'autoregressive')), ('embed_tensor_transpose', ('tensor_transpose',)), ('exp_with_fsdp', 'fsdp'))
I0425 20:20:57.561546 137093242799936 pyconfig.py:471] Config param logits_dot_in_fp32: False
I0425 20:20:57.561579 137093242799936 pyconfig.py:471] Config param logits_via_embedding: True
I0425 20:20:57.561603 137093242799936 pyconfig.py:471] Config param lora_input_adapters_path: 
I0425 20:20:57.561625 137093242799936 pyconfig.py:471] Config param loss_algo: grpo
I0425 20:20:57.561648 137093242799936 pyconfig.py:471] Config param lr_schedule_type: LearningRateScheduleType.COSINE
I0425 20:20:57.561672 137093242799936 pyconfig.py:471] Config param managed_mldiagnostics: False
I0425 20:20:57.561696 137093242799936 pyconfig.py:471] Config param managed_mldiagnostics_dir: /deps/maxtext_output/gpt3-52k_2026-04-25-20-20/managed-mldiagnostics
I0425 20:20:57.561718 137093242799936 pyconfig.py:471] Config param managed_mldiagnostics_run_group: 
I0425 20:20:57.561741 137093242799936 pyconfig.py:471] Config param matmul_precision: MatmulPrecision.DEFAULT
I0425 20:20:57.561766 137093242799936 pyconfig.py:471] Config param max_checkify: False
I0425 20:20:57.561792 137093242799936 pyconfig.py:471] Config param max_concurrency: 256
I0425 20:20:57.561818 137093242799936 pyconfig.py:471] Config param max_corpus_chars: 10000000
I0425 20:20:57.561846 137093242799936 pyconfig.py:471] Config param max_num_batched_tokens: None
I0425 20:20:57.561882 137093242799936 pyconfig.py:471] Config param max_num_checkpoints_to_keep: None
I0425 20:20:57.561909 137093242799936 pyconfig.py:471] Config param max_num_images_per_example: -1
I0425 20:20:57.561933 137093242799936 pyconfig.py:471] Config param max_num_seqs: None
I0425 20:20:57.561954 137093242799936 pyconfig.py:471] Config param max_position_embeddings: 163840
I0425 20:20:57.561975 137093242799936 pyconfig.py:471] Config param max_prefill_predict_length: 64
I0425 20:20:57.561991 137093242799936 pyconfig.py:471] Config param max_sample_len_for_audio: 10000
I0425 20:20:57.562005 137093242799936 pyconfig.py:471] Config param max_segments_per_seq: -1
I0425 20:20:57.562021 137093242799936 pyconfig.py:471] Config param max_source_positions_for_audio: 1500
I0425 20:20:57.562037 137093242799936 pyconfig.py:471] Config param max_target_length: 2048
I0425 20:20:57.562052 137093242799936 pyconfig.py:471] Config param max_timescale_for_audio: 10000.0
I0425 20:20:57.562069 137093242799936 pyconfig.py:471] Config param megablox: True
I0425 20:20:57.562086 137093242799936 pyconfig.py:471] Config param merge_gating_gmm: False
I0425 20:20:57.562099 137093242799936 pyconfig.py:471] Config param mesh_axes: ['diloco', 'data', 'stage', 'fsdp', 'fsdp_transpose', 'sequence', 'context', 'context_autoregressive', 'tensor', 'tensor_transpose', 'tensor_sequence', 'expert', 'autoregressive']
I0425 20:20:57.562118 137093242799936 pyconfig.py:471] Config param metrics_dir: /deps/maxtext_output/gpt3-52k_2026-04-25-20-20/metrics/
I0425 20:20:57.562132 137093242799936 pyconfig.py:471] Config param metrics_file: 
I0425 20:20:57.562150 137093242799936 pyconfig.py:471] Config param mhc_expansion_rate: 1
I0425 20:20:57.562167 137093242799936 pyconfig.py:471] Config param micro_batch_size_to_eval_on: 64
I0425 20:20:57.562189 137093242799936 pyconfig.py:471] Config param micro_batch_size_to_train_on: 64
I0425 20:20:57.562209 137093242799936 pyconfig.py:471] Config param mla_kv: RematLocation.REMAT
I0425 20:20:57.562232 137093242799936 pyconfig.py:471] Config param mla_naive_kvcache: True
I0425 20:20:57.562258 137093242799936 pyconfig.py:471] Config param mla_q: RematLocation.REMAT
I0425 20:20:57.562281 137093242799936 pyconfig.py:471] Config param mlp_activations: ['gelu']
I0425 20:20:57.562298 137093242799936 pyconfig.py:471] Config param mlp_activations_limit: -1.0
I0425 20:20:57.562315 137093242799936 pyconfig.py:471] Config param mlp_bias: False
I0425 20:20:57.562345 137093242799936 pyconfig.py:471] Config param mlp_dim: 64
I0425 20:20:57.562367 137093242799936 pyconfig.py:471] Config param mlpwi: RematLocation.REMAT
I0425 20:20:57.562392 137093242799936 pyconfig.py:471] Config param mlpwi_0: RematLocation.REMAT
I0425 20:20:57.562414 137093242799936 pyconfig.py:471] Config param mlpwi_1: RematLocation.REMAT
I0425 20:20:57.562438 137093242799936 pyconfig.py:471] Config param mlpwo: RematLocation.REMAT
I0425 20:20:57.562462 137093242799936 pyconfig.py:471] Config param moba: False
I0425 20:20:57.562486 137093242799936 pyconfig.py:471] Config param moba_chunk_size: 1024
I0425 20:20:57.562509 137093242799936 pyconfig.py:471] Config param moba_topk: 8
I0425 20:20:57.562533 137093242799936 pyconfig.py:471] Config param model_call_mode: 
I0425 20:20:57.562558 137093242799936 pyconfig.py:471] Config param model_name: gpt3-52k
I0425 20:20:57.562581 137093242799936 pyconfig.py:471] Config param moe_expert_input_dim: -1
I0425 20:20:57.562601 137093242799936 pyconfig.py:471] Config param moe_fsdp_use_two_stage_all_gather: False
I0425 20:20:57.562619 137093242799936 pyconfig.py:471] Config param moe_mlp_dim: -1
I0425 20:20:57.562633 137093242799936 pyconfig.py:471] Config param moe_mlpwi_0: RematLocation.REMAT
I0425 20:20:57.562649 137093242799936 pyconfig.py:471] Config param moe_mlpwi_1: RematLocation.REMAT
I0425 20:20:57.562664 137093242799936 pyconfig.py:471] Config param moe_mlpwo: RematLocation.REMAT
I0425 20:20:57.562679 137093242799936 pyconfig.py:471] Config param monitor_goodput: False
I0425 20:20:57.562693 137093242799936 pyconfig.py:471] Config param monitor_step_time_deviation: True
I0425 20:20:57.562710 137093242799936 pyconfig.py:471] Config param mrope_section: [24, 20, 20]
I0425 20:20:57.562734 137093242799936 pyconfig.py:471] Config param mscale: 1.0
I0425 20:20:57.562758 137093242799936 pyconfig.py:471] Config param mtc_data_parallelism: 0
I0425 20:20:57.562783 137093242799936 pyconfig.py:471] Config param mtp_eval_target_module: 0
I0425 20:20:57.562807 137093242799936 pyconfig.py:471] Config param mtp_loss_scaling_factor: 0.1
I0425 20:20:57.562831 137093242799936 pyconfig.py:471] Config param mtp_num_layers: 0
I0425 20:20:57.562855 137093242799936 pyconfig.py:471] Config param mu_dtype: float32
I0425 20:20:57.562906 137093242799936 pyconfig.py:471] Config param multi_sampling: False
I0425 20:20:57.562931 137093242799936 pyconfig.py:471] Config param multi_tier_checkpointing_backup_interval_minutes: 0
I0425 20:20:57.562955 137093242799936 pyconfig.py:471] Config param muon_beta: 0.95
I0425 20:20:57.562977 137093242799936 pyconfig.py:471] Config param muon_consistent_rms: None
I0425 20:20:57.562999 137093242799936 pyconfig.py:471] Config param muon_weight_decay: 0.0
I0425 20:20:57.563023 137093242799936 pyconfig.py:471] Config param n_routing_groups: -1
I0425 20:20:57.563048 137093242799936 pyconfig.py:471] Config param n_window_for_audio: 50
I0425 20:20:57.563072 137093242799936 pyconfig.py:471] Config param n_window_infer_for_audio: 800
I0425 20:20:57.563096 137093242799936 pyconfig.py:471] Config param nope_layer_interval: -1
I0425 20:20:57.563122 137093242799936 pyconfig.py:471] Config param norm_topk_prob: False
I0425 20:20:57.563145 137093242799936 pyconfig.py:471] Config param normalization_layer_epsilon: 1e-05
I0425 20:20:57.563169 137093242799936 pyconfig.py:471] Config param normalize_embedding_logits: False
I0425 20:20:57.563192 137093242799936 pyconfig.py:471] Config param num_attention_heads_for_vit: 16
I0425 20:20:57.563215 137093242799936 pyconfig.py:471] Config param num_batches: 4
I0425 20:20:57.563246 137093242799936 pyconfig.py:471] Config param num_channels_for_vit: 3
I0425 20:20:57.563266 137093242799936 pyconfig.py:471] Config param num_conv_layers_for_audio: 3
I0425 20:20:57.563287 137093242799936 pyconfig.py:471] Config param num_decoder_layers: 1
I0425 20:20:57.563303 137093242799936 pyconfig.py:471] Config param num_diloco_replicas: 1
I0425 20:20:57.563317 137093242799936 pyconfig.py:471] Config param num_epoch: 1
I0425 20:20:57.563335 137093242799936 pyconfig.py:471] Config param num_eval_passes: 1
I0425 20:20:57.563360 137093242799936 pyconfig.py:471] Config param num_experts: 1
I0425 20:20:57.563384 137093242799936 pyconfig.py:471] Config param num_experts_per_tok: 1
I0425 20:20:57.563408 137093242799936 pyconfig.py:471] Config param num_generations: 2
I0425 20:20:57.563431 137093242799936 pyconfig.py:471] Config param num_hidden_layers_for_vit: 34
I0425 20:20:57.563457 137093242799936 pyconfig.py:471] Config param num_iterations: 1
I0425 20:20:57.563481 137093242799936 pyconfig.py:471] Config param num_kv_heads: 2
I0425 20:20:57.563505 137093242799936 pyconfig.py:471] Config param num_layers_per_pipeline_stage: 1
I0425 20:20:57.563529 137093242799936 pyconfig.py:471] Config param num_mel_bins_for_audio: 128
I0425 20:20:57.563549 137093242799936 pyconfig.py:471] Config param num_pipeline_microbatches: -1
I0425 20:20:57.563574 137093242799936 pyconfig.py:471] Config param num_pipeline_repeats: -1
I0425 20:20:57.563597 137093242799936 pyconfig.py:471] Config param num_position_embeddings_for_vit: 1024
I0425 20:20:57.563619 137093242799936 pyconfig.py:471] Config param num_query_heads: 2
I0425 20:20:57.563643 137093242799936 pyconfig.py:471] Config param num_samplers_slices: -1
I0425 20:20:57.563667 137093242799936 pyconfig.py:471] Config param num_slices: 1
I0425 20:20:57.563691 137093242799936 pyconfig.py:471] Config param num_target_devices: 32
I0425 20:20:57.563716 137093242799936 pyconfig.py:471] Config param num_test_batches: 5
I0425 20:20:57.563743 137093242799936 pyconfig.py:471] Config param num_trainer_slices: -1
I0425 20:20:57.563767 137093242799936 pyconfig.py:471] Config param num_vocab_tiling: 1
I0425 20:20:57.563789 137093242799936 pyconfig.py:471] Config param off_policy_steps: 0
I0425 20:20:57.563810 137093242799936 pyconfig.py:471] Config param offline_data_dir: None
I0425 20:20:57.563826 137093242799936 pyconfig.py:471] Config param opt_type: OptimizerType.ADAM_PAX
I0425 20:20:57.563844 137093242799936 pyconfig.py:471] Config param optimize_mesh_for_tpu_v6e: False
I0425 20:20:57.563860 137093242799936 pyconfig.py:471] Config param optimizer_memory_host_offload: False
I0425 20:20:57.563884 137093242799936 pyconfig.py:471] Config param original_max_position_embeddings: 4096
I0425 20:20:57.563899 137093242799936 pyconfig.py:471] Config param out_hidden_size_for_vit: 512
I0425 20:20:57.563915 137093242799936 pyconfig.py:471] Config param out_proj: RematLocation.REMAT
I0425 20:20:57.563930 137093242799936 pyconfig.py:471] Config param output_dim_for_audio: 512
I0425 20:20:57.563946 137093242799936 pyconfig.py:471] Config param override_logical_axis_rules: False
I0425 20:20:57.563961 137093242799936 pyconfig.py:471] Config param override_model_config: True
I0425 20:20:57.563975 137093242799936 pyconfig.py:471] Config param packing: True
I0425 20:20:57.563990 137093242799936 pyconfig.py:471] Config param pagedattn_head_dim_alignment: 128
I0425 20:20:57.564005 137093242799936 pyconfig.py:471] Config param pagedattn_max_pages_per_group: -1
I0425 20:20:57.564020 137093242799936 pyconfig.py:471] Config param pagedattn_num_pages: 64
I0425 20:20:57.564035 137093242799936 pyconfig.py:471] Config param pagedattn_pages_per_compute_block: 4
I0425 20:20:57.564049 137093242799936 pyconfig.py:471] Config param pagedattn_tokens_per_page: 32
I0425 20:20:57.564064 137093242799936 pyconfig.py:471] Config param param_scan_axis: 1
I0425 20:20:57.564079 137093242799936 pyconfig.py:471] Config param parameter_memory_host_offload: False
I0425 20:20:57.564093 137093242799936 pyconfig.py:471] Config param partial_rotary_factor: 1.0
I0425 20:20:57.564108 137093242799936 pyconfig.py:471] Config param patch_size_for_vit: 14
I0425 20:20:57.564124 137093242799936 pyconfig.py:471] Config param penalty_incorrect_answer: -1.0
I0425 20:20:57.564138 137093242799936 pyconfig.py:471] Config param penalty_incorrect_format: -0.5
I0425 20:20:57.564154 137093242799936 pyconfig.py:471] Config param per_device_batch_size: 2
I0425 20:20:57.564169 137093242799936 pyconfig.py:471] Config param per_device_batch_size_increment: 2.0
I0425 20:20:57.564183 137093242799936 pyconfig.py:471] Config param per_device_batch_size_start: 4.0
I0425 20:20:57.564199 137093242799936 pyconfig.py:471] Config param pipeline_delay_activation_forwarding: False
I0425 20:20:57.564213 137093242799936 pyconfig.py:471] Config param pipeline_fsdp_ag_once: False
I0425 20:20:57.564229 137093242799936 pyconfig.py:471] Config param pipeline_fsdp_ag_per_repeat: False
I0425 20:20:57.564243 137093242799936 pyconfig.py:471] Config param pipeline_parallel_layers: 1
I0425 20:20:57.564258 137093242799936 pyconfig.py:471] Config param pixel_shuffle_ratio_for_vit: 0.5
I0425 20:20:57.564273 137093242799936 pyconfig.py:471] Config param posemb_type_for_vit: learn
I0425 20:20:57.564287 137093242799936 pyconfig.py:471] Config param position_id_per_seconds: 25
I0425 20:20:57.564303 137093242799936 pyconfig.py:471] Config param prefill_cache_axis_order: 1,2,0,3
I0425 20:20:57.564318 137093242799936 pyconfig.py:471] Config param prefill_cache_dir: 
I0425 20:20:57.564336 137093242799936 pyconfig.py:471] Config param prefill_chunk_size: 256
I0425 20:20:57.564352 137093242799936 pyconfig.py:471] Config param prefill_slice: v5e-16
I0425 20:20:57.564365 137093242799936 pyconfig.py:471] Config param prefix_caching_dram_byte: 100000000000
I0425 20:20:57.564381 137093242799936 pyconfig.py:471] Config param prefix_caching_hbm_byte: 10000000000
I0425 20:20:57.564395 137093242799936 pyconfig.py:471] Config param profile_cleanly: True
I0425 20:20:57.564410 137093242799936 pyconfig.py:471] Config param profile_periodically_period: -1
I0425 20:20:57.564426 137093242799936 pyconfig.py:471] Config param profile_power_events: False
I0425 20:20:57.564441 137093242799936 pyconfig.py:471] Config param profiler: ProfilerType.NONE
I0425 20:20:57.564457 137093242799936 pyconfig.py:471] Config param profiler_steps: 5
I0425 20:20:57.564473 137093242799936 pyconfig.py:471] Config param projector_dropout_for_vit: 0.0
I0425 20:20:57.564488 137093242799936 pyconfig.py:471] Config param projector_input_dim_for_vit: 4096
I0425 20:20:57.564502 137093242799936 pyconfig.py:471] Config param projector_output_dim_for_vit: 4096
I0425 20:20:57.564517 137093242799936 pyconfig.py:471] Config param prometheus_port: 0
I0425 20:20:57.564531 137093242799936 pyconfig.py:471] Config param prompt: I love to
I0425 20:20:57.564547 137093242799936 pyconfig.py:471] Config param pure_nnx: False
I0425 20:20:57.564561 137093242799936 pyconfig.py:471] Config param pure_nnx_decoder: False
I0425 20:20:57.564578 137093242799936 pyconfig.py:471] Config param q_lora_rank: 0
I0425 20:20:57.564594 137093242799936 pyconfig.py:471] Config param qk_clip_threshold: 100.0
I0425 20:20:57.564609 137093242799936 pyconfig.py:471] Config param qk_nope_head_dim: 128
I0425 20:20:57.564623 137093242799936 pyconfig.py:471] Config param qk_norm_with_scale: True
I0425 20:20:57.564638 137093242799936 pyconfig.py:471] Config param qk_rope_head_dim: 64
I0425 20:20:57.564653 137093242799936 pyconfig.py:471] Config param qkv_proj: RematLocation.REMAT
I0425 20:20:57.564669 137093242799936 pyconfig.py:471] Config param quant_cfg_path: 
I0425 20:20:57.564683 137093242799936 pyconfig.py:471] Config param quantization: QuantizationType.NONE
I0425 20:20:57.564701 137093242799936 pyconfig.py:471] Config param quantization_local_shard_count: 4
I0425 20:20:57.564716 137093242799936 pyconfig.py:471] Config param quantize_kvcache: False
I0425 20:20:57.564731 137093242799936 pyconfig.py:471] Config param query_proj: RematLocation.REMAT
I0425 20:20:57.564747 137093242799936 pyconfig.py:471] Config param query_wa_proj: RematLocation.REMAT
I0425 20:20:57.564761 137093242799936 pyconfig.py:471] Config param ragged_block_size: 256
I0425 20:20:57.564776 137093242799936 pyconfig.py:471] Config param ragged_buffer_factor: -1.0
I0425 20:20:57.564791 137093242799936 pyconfig.py:471] Config param rampup_end_step: 0
I0425 20:20:57.564807 137093242799936 pyconfig.py:471] Config param rampup_samples_per_increment_to_load: None
I0425 20:20:57.564821 137093242799936 pyconfig.py:471] Config param reasoning_end_token: </reasoning>
I0425 20:20:57.564836 137093242799936 pyconfig.py:471] Config param reasoning_start_token: <reasoning>
I0425 20:20:57.564851 137093242799936 pyconfig.py:471] Config param record_internal_nn_metrics: 0
I0425 20:20:57.564866 137093242799936 pyconfig.py:471] Config param remat_policy: full
I0425 20:20:57.564891 137093242799936 pyconfig.py:471] Config param remat_policy_for_vit: minimal
I0425 20:20:57.564906 137093242799936 pyconfig.py:471] Config param remove_size_one_mesh_axis_from_type: True
I0425 20:20:57.564921 137093242799936 pyconfig.py:471] Config param replicate_quant_scale: False
I0425 20:20:57.564937 137093242799936 pyconfig.py:471] Config param replicator_backup_interval_minutes: 0
I0425 20:20:57.564953 137093242799936 pyconfig.py:471] Config param report_heartbeat_metric_for_gcp_monitoring: False
I0425 20:20:57.564968 137093242799936 pyconfig.py:471] Config param report_performance_metric_for_gcp_monitoring: False
I0425 20:20:57.564983 137093242799936 pyconfig.py:471] Config param reshape_q: False
I0425 20:20:57.564997 137093242799936 pyconfig.py:471] Config param return_log_prob: False
I0425 20:20:57.565012 137093242799936 pyconfig.py:471] Config param reuse_example_batch: 0
I0425 20:20:57.565026 137093242799936 pyconfig.py:471] Config param reward_exact_answer: 5.0
I0425 20:20:57.565042 137093242799936 pyconfig.py:471] Config param reward_exact_format_match: 3.0
I0425 20:20:57.565056 137093242799936 pyconfig.py:471] Config param reward_partial_format_match: 0.5
I0425 20:20:57.565072 137093242799936 pyconfig.py:471] Config param reward_ratio_guess_to_answer_high: 0.5
I0425 20:20:57.565087 137093242799936 pyconfig.py:471] Config param reward_ratio_guess_to_answer_low: 0.25
I0425 20:20:57.565101 137093242799936 pyconfig.py:471] Config param reward_white_space_format_match: 1.5
I0425 20:20:57.565117 137093242799936 pyconfig.py:471] Config param rl: {'num_generations': 2, 'num_iterations': 1, 'grpo_beta': 0.08, 'grpo_epsilon': 0.2, 'loss_algo': 'grpo', 'use_agentic_rollout': False, 'max_concurrency': 256, 'off_policy_steps': 0, 'system_prompt': '', 'degenerate_group_masking': True, 'epsilon_high': None}
I0425 20:20:57.565138 137093242799936 pyconfig.py:471] Config param rollout_data_parallelism: -1
I0425 20:20:57.565152 137093242799936 pyconfig.py:471] Config param rollout_expert_parallelism: 1
I0425 20:20:57.565168 137093242799936 pyconfig.py:471] Config param rollout_micro_batch_size: -1
I0425 20:20:57.565181 137093242799936 pyconfig.py:471] Config param rollout_tensor_parallelism: -1
I0425 20:20:57.565197 137093242799936 pyconfig.py:471] Config param rope_attention_scaling: False
I0425 20:20:57.565212 137093242799936 pyconfig.py:471] Config param rope_factor: 40
I0425 20:20:57.565227 137093242799936 pyconfig.py:471] Config param rope_interleave: True
I0425 20:20:57.565241 137093242799936 pyconfig.py:471] Config param rope_linear_scaling_factor: 1.0
I0425 20:20:57.565256 137093242799936 pyconfig.py:471] Config param rope_max_timescale: 10000
I0425 20:20:57.565271 137093242799936 pyconfig.py:471] Config param rope_min_timescale: 1
I0425 20:20:57.565287 137093242799936 pyconfig.py:471] Config param rope_theta_for_vit: 10000
I0425 20:20:57.565301 137093242799936 pyconfig.py:471] Config param rope_truncate: True
I0425 20:20:57.565316 137093242799936 pyconfig.py:471] Config param rope_type: RopeType.DEFAULT
I0425 20:20:57.565335 137093242799936 pyconfig.py:471] Config param rope_use_scale: True
I0425 20:20:57.565351 137093242799936 pyconfig.py:471] Config param routed_bias: False
I0425 20:20:57.565364 137093242799936 pyconfig.py:471] Config param routed_bias_update_rate: 0.0
I0425 20:20:57.565380 137093242799936 pyconfig.py:471] Config param routed_scaling_factor: 1.0
I0425 20:20:57.565393 137093242799936 pyconfig.py:471] Config param routed_score_func: 
I0425 20:20:57.565408 137093242799936 pyconfig.py:471] Config param run_name: gpt3-52k_2026-04-25-20-20
I0425 20:20:57.565423 137093242799936 pyconfig.py:471] Config param sa_block_kv: 512
I0425 20:20:57.565438 137093242799936 pyconfig.py:471] Config param sa_block_kv_compute: 512
I0425 20:20:57.565452 137093242799936 pyconfig.py:471] Config param sa_block_kv_dkv: 512
I0425 20:20:57.565467 137093242799936 pyconfig.py:471] Config param sa_block_kv_dkv_compute: 512
I0425 20:20:57.565481 137093242799936 pyconfig.py:471] Config param sa_block_kv_dq: 512
I0425 20:20:57.565496 137093242799936 pyconfig.py:471] Config param sa_block_q: 512
I0425 20:20:57.565510 137093242799936 pyconfig.py:471] Config param sa_block_q_dkv: 512
I0425 20:20:57.565526 137093242799936 pyconfig.py:471] Config param sa_block_q_dq: 512
I0425 20:20:57.565539 137093242799936 pyconfig.py:471] Config param sa_k_layout: HEAD_DIM_MINOR
I0425 20:20:57.565555 137093242799936 pyconfig.py:471] Config param sa_q_layout: HEAD_DIM_MINOR
I0425 20:20:57.565568 137093242799936 pyconfig.py:471] Config param sa_use_fused_bwd_kernel: False
I0425 20:20:57.565583 137093242799936 pyconfig.py:471] Config param sa_v_layout: HEAD_DIM_MINOR
I0425 20:20:57.565598 137093242799936 pyconfig.py:471] Config param sampler_devices_fraction: 0.5
I0425 20:20:57.565613 137093242799936 pyconfig.py:471] Config param save_checkpoint_on_completion: True
I0425 20:20:57.565627 137093242799936 pyconfig.py:471] Config param save_config_to_gcs: False
I0425 20:20:57.565643 137093242799936 pyconfig.py:471] Config param save_quantized_params_path: 
I0425 20:20:57.565657 137093242799936 pyconfig.py:471] Config param scale_embedding_for_audio: True
I0425 20:20:57.565673 137093242799936 pyconfig.py:471] Config param scan_layers: True
I0425 20:20:57.565688 137093242799936 pyconfig.py:471] Config param scan_layers_per_stage: False
I0425 20:20:57.565703 137093242799936 pyconfig.py:471] Config param scan_pipeline_iterations: True
I0425 20:20:57.565718 137093242799936 pyconfig.py:471] Config param scan_pipeline_repeats: False
I0425 20:20:57.565734 137093242799936 pyconfig.py:471] Config param set_remat_policy_on_layers_per_stage: False
I0425 20:20:57.565748 137093242799936 pyconfig.py:471] Config param set_remat_policy_on_pipeline_iterations: True
I0425 20:20:57.565763 137093242799936 pyconfig.py:471] Config param sft_train_on_completion_only: False
I0425 20:20:57.565777 137093242799936 pyconfig.py:471] Config param shard_exp_on_fsdp: False
I0425 20:20:57.565792 137093242799936 pyconfig.py:471] Config param shard_mode: ShardMode.AUTO
I0425 20:20:57.565807 137093242799936 pyconfig.py:471] Config param shard_optimizer_over_data: False
I0425 20:20:57.565822 137093242799936 pyconfig.py:471] Config param sharding_strategy: None
I0425 20:20:57.565836 137093242799936 pyconfig.py:471] Config param sharding_tolerance: 0.02
I0425 20:20:57.565852 137093242799936 pyconfig.py:471] Config param shardy: True
I0425 20:20:57.565866 137093242799936 pyconfig.py:471] Config param share_kv_projections: False
I0425 20:20:57.565894 137093242799936 pyconfig.py:471] Config param shared_experts: 0
I0425 20:20:57.565908 137093242799936 pyconfig.py:471] Config param sinkhorn_iterations: 20
I0425 20:20:57.565924 137093242799936 pyconfig.py:471] Config param skip_first_n_steps_for_profiler: 1
I0425 20:20:57.565937 137093242799936 pyconfig.py:471] Config param skip_jax_distributed_system: False
I0425 20:20:57.565953 137093242799936 pyconfig.py:471] Config param skip_step_interval: 128
I0425 20:20:57.565966 137093242799936 pyconfig.py:471] Config param skip_step_on_spikes: False
I0425 20:20:57.565982 137093242799936 pyconfig.py:471] Config param skip_step_scaling_factor: 6.0
I0425 20:20:57.565995 137093242799936 pyconfig.py:471] Config param sliding_window_size: 0
I0425 20:20:57.566011 137093242799936 pyconfig.py:471] Config param solution_end_token: </answer>
I0425 20:20:57.566025 137093242799936 pyconfig.py:471] Config param solution_start_token: <answer>
I0425 20:20:57.566040 137093242799936 pyconfig.py:471] Config param source_checkpoint_layout: orbax
I0425 20:20:57.566054 137093242799936 pyconfig.py:471] Config param sparse_matmul: True
I0425 20:20:57.566070 137093242799936 pyconfig.py:471] Config param spatial_merge_size_for_vit: 2
I0425 20:20:57.566083 137093242799936 pyconfig.py:471] Config param stack_prefill_result_cache: False
I0425 20:20:57.566099 137093242799936 pyconfig.py:471] Config param stack_trace_interval_seconds: 600
I0425 20:20:57.566113 137093242799936 pyconfig.py:471] Config param stack_trace_to_cloud: False
I0425 20:20:57.566128 137093242799936 pyconfig.py:471] Config param step_deviation_interval_seconds: 30
I0425 20:20:57.566142 137093242799936 pyconfig.py:471] Config param steps: 200000
I0425 20:20:57.566158 137093242799936 pyconfig.py:471] Config param stop_strings: None
I0425 20:20:57.566171 137093242799936 pyconfig.py:471] Config param student_overrides: {'model_name': 'llama3.1-8b'}
I0425 20:20:57.566188 137093242799936 pyconfig.py:471] Config param student_params_to_update: None
I0425 20:20:57.566201 137093242799936 pyconfig.py:471] Config param subslice_shape: 
I0425 20:20:57.566217 137093242799936 pyconfig.py:471] Config param swap_space_vllm_gb: 2
I0425 20:20:57.566231 137093242799936 pyconfig.py:471] Config param system_prompt: 
I0425 20:20:57.566246 137093242799936 pyconfig.py:471] Config param target_eval_loss: 0.0
I0425 20:20:57.566260 137093242799936 pyconfig.py:471] Config param teacher_overrides: {'model_name': 'llama3.1-8b'}
I0425 20:20:57.566276 137093242799936 pyconfig.py:471] Config param temperature_tuning: False
I0425 20:20:57.566290 137093242799936 pyconfig.py:471] Config param temporal_patch_size_for_vit: 2
I0425 20:20:57.566305 137093242799936 pyconfig.py:471] Config param tensorboard_dir: /deps/maxtext_output/gpt3-52k_2026-04-25-20-20/tensorboard/
I0425 20:20:57.566319 137093242799936 pyconfig.py:471] Config param tensors_on_device: None
I0425 20:20:57.566337 137093242799936 pyconfig.py:471] Config param tensors_to_offload: None
I0425 20:20:57.566351 137093242799936 pyconfig.py:471] Config param test_batch_start_index: 0
I0425 20:20:57.566366 137093242799936 pyconfig.py:471] Config param tile_size_for_vit: 336
I0425 20:20:57.566380 137093242799936 pyconfig.py:471] Config param tokenize_eval_data: True
I0425 20:20:57.566395 137093242799936 pyconfig.py:471] Config param tokenize_train_data: True
I0425 20:20:57.566409 137093242799936 pyconfig.py:471] Config param tokenizer_path: meta-llama/Llama-3.1-8B
I0425 20:20:57.566424 137093242799936 pyconfig.py:471] Config param tokenizer_type: TokenizerType.HUGGINGFACE
I0425 20:20:57.566440 137093242799936 pyconfig.py:471] Config param topk_routing_group: -1
I0425 20:20:57.566455 137093242799936 pyconfig.py:471] Config param train_data_columns: ['text']
I0425 20:20:57.566469 137093242799936 pyconfig.py:471] Config param train_fraction: 1.0
I0425 20:20:57.566483 137093242799936 pyconfig.py:471] Config param train_image_column: image
I0425 20:20:57.566498 137093242799936 pyconfig.py:471] Config param train_micro_batch_size: -1
I0425 20:20:57.566512 137093242799936 pyconfig.py:471] Config param train_split: train
I0425 20:20:57.566526 137093242799936 pyconfig.py:471] Config param trainable_parameters_mask: []
I0425 20:20:57.566541 137093242799936 pyconfig.py:471] Config param trainable_position_size: 2048
I0425 20:20:57.566555 137093242799936 pyconfig.py:471] Config param trainer_devices_fraction: 0.5
I0425 20:20:57.566571 137093242799936 pyconfig.py:471] Config param upload_all_profiler_results: False
I0425 20:20:57.566585 137093242799936 pyconfig.py:471] Config param use_2d_fsdp_sharding: False
I0425 20:20:57.566600 137093242799936 pyconfig.py:471] Config param use_agentic_rollout: False
I0425 20:20:57.566617 137093242799936 pyconfig.py:471] Config param use_audio: False
I0425 20:20:57.566641 137093242799936 pyconfig.py:471] Config param use_audio_in_video: False
I0425 20:20:57.566667 137093242799936 pyconfig.py:471] Config param use_batch_split_schedule: False
I0425 20:20:57.566687 137093242799936 pyconfig.py:471] Config param use_chat_template: False
I0425 20:20:57.566701 137093242799936 pyconfig.py:471] Config param use_chunked_prefill: False
I0425 20:20:57.566718 137093242799936 pyconfig.py:471] Config param use_custom_sort_vjp: True
I0425 20:20:57.566743 137093242799936 pyconfig.py:471] Config param use_dpo: False
I0425 20:20:57.566768 137093242799936 pyconfig.py:471] Config param use_gather_mosaic_kernel: False
I0425 20:20:57.566793 137093242799936 pyconfig.py:471] Config param use_grpo: True
I0425 20:20:57.566818 137093242799936 pyconfig.py:471] Config param use_indexer: False
I0425 20:20:57.566842 137093242799936 pyconfig.py:471] Config param use_iota_embed: True
I0425 20:20:57.566865 137093242799936 pyconfig.py:471] Config param use_jax_splash: False
I0425 20:20:57.566903 137093242799936 pyconfig.py:471] Config param use_max_logit_estimate: -1
I0425 20:20:57.566925 137093242799936 pyconfig.py:471] Config param use_mrope: False
I0425 20:20:57.566941 137093242799936 pyconfig.py:471] Config param use_multimodal: False
I0425 20:20:57.566955 137093242799936 pyconfig.py:471] Config param use_nnx_pipeline: False
I0425 20:20:57.566970 137093242799936 pyconfig.py:471] Config param use_pathways: True
I0425 20:20:57.566984 137093242799936 pyconfig.py:471] Config param use_post_attn_norm: False
I0425 20:20:57.567000 137093242799936 pyconfig.py:471] Config param use_post_ffw_norm: False
I0425 20:20:57.567016 137093242799936 pyconfig.py:471] Config param use_qk_clip: False
I0425 20:20:57.567032 137093242799936 pyconfig.py:471] Config param use_qk_norm: False
I0425 20:20:57.567045 137093242799936 pyconfig.py:471] Config param use_qk_norm_in_gdn: True
I0425 20:20:57.567063 137093242799936 pyconfig.py:471] Config param use_qwix_quantization: False
I0425 20:20:57.567085 137093242799936 pyconfig.py:471] Config param use_ragged_attention: False
I0425 20:20:57.567110 137093242799936 pyconfig.py:471] Config param use_random_routing: False
I0425 20:20:57.567132 137093242799936 pyconfig.py:471] Config param use_replicator_service: False
I0425 20:20:57.567152 137093242799936 pyconfig.py:471] Config param use_ring_of_experts: False
I0425 20:20:57.567175 137093242799936 pyconfig.py:471] Config param use_sft: False
I0425 20:20:57.567199 137093242799936 pyconfig.py:471] Config param use_splash_scheduler: False
I0425 20:20:57.567222 137093242799936 pyconfig.py:471] Config param use_tokamax_gmm: False
I0425 20:20:57.567247 137093242799936 pyconfig.py:471] Config param use_tokamax_splash: False
I0425 20:20:57.567272 137093242799936 pyconfig.py:471] Config param use_truncation: True
I0425 20:20:57.567297 137093242799936 pyconfig.py:471] Config param use_tunix_gradient_accumulation: False
I0425 20:20:57.567326 137093242799936 pyconfig.py:471] Config param use_untrainable_positional_embedding: False
I0425 20:20:57.567349 137093242799936 pyconfig.py:471] Config param use_vertex_tensorboard: False
I0425 20:20:57.567374 137093242799936 pyconfig.py:471] Config param using_pipeline_parallelism: False
I0425 20:20:57.567399 137093242799936 pyconfig.py:471] Config param v_head_dim: 128
I0425 20:20:57.567423 137093242799936 pyconfig.py:471] Config param v_norm_with_scale: True
I0425 20:20:57.567447 137093242799936 pyconfig.py:471] Config param value_proj: RematLocation.REMAT
I0425 20:20:57.567474 137093242799936 pyconfig.py:471] Config param vertex_tensorboard_project: 
I0425 20:20:57.567499 137093242799936 pyconfig.py:471] Config param vertex_tensorboard_region: 
I0425 20:20:57.567524 137093242799936 pyconfig.py:471] Config param video_path: 
I0425 20:20:57.567546 137093242799936 pyconfig.py:471] Config param video_placeholder: <|video|>
I0425 20:20:57.567569 137093242799936 pyconfig.py:471] Config param vision_output_dim_for_vit: 4096
I0425 20:20:57.567591 137093242799936 pyconfig.py:471] Config param vision_output_length: -1
I0425 20:20:57.567616 137093242799936 pyconfig.py:471] Config param vllm_additional_config: {}
I0425 20:20:57.567637 137093242799936 pyconfig.py:471] Config param vllm_hf_config_path: 
I0425 20:20:57.567661 137093242799936 pyconfig.py:471] Config param vllm_hf_overrides: {}
I0425 20:20:57.567682 137093242799936 pyconfig.py:471] Config param vocab_size: 32000
I0425 20:20:57.567704 137093242799936 pyconfig.py:471] Config param warmup_steps_fraction: 0.1
I0425 20:20:57.567730 137093242799936 pyconfig.py:471] Config param weight_dtype: float32
I0425 20:20:57.567769 137093242799936 pyconfig.py:471] Config param weight_quantization_calibration_method: absmax
I0425 20:20:57.567791 137093242799936 pyconfig.py:471] Config param wi_tile_dlhs_batch_seq: 512
I0425 20:20:57.567815 137093242799936 pyconfig.py:471] Config param wi_tile_dlhs_embed_dim: 1024
I0425 20:20:57.567838 137093242799936 pyconfig.py:471] Config param wi_tile_dlhs_mlp_dim: 1024
I0425 20:20:57.567863 137093242799936 pyconfig.py:471] Config param wi_tile_drhs_batch_seq: 512
I0425 20:20:57.567902 137093242799936 pyconfig.py:471] Config param wi_tile_drhs_embed_dim: 1024
I0425 20:20:57.567928 137093242799936 pyconfig.py:471] Config param wi_tile_drhs_mlp_dim: 1024
I0425 20:20:57.567953 137093242799936 pyconfig.py:471] Config param wi_tile_fwd_batch_seq: 512
I0425 20:20:57.567976 137093242799936 pyconfig.py:471] Config param wi_tile_fwd_embed_dim: 1024
I0425 20:20:57.568001 137093242799936 pyconfig.py:471] Config param wi_tile_fwd_mlp_dim: 1024
I0425 20:20:57.568023 137093242799936 pyconfig.py:471] Config param wo_tile_dlhs_batch_seq: 512
I0425 20:20:57.568045 137093242799936 pyconfig.py:471] Config param wo_tile_dlhs_embed_dim: 1024
I0425 20:20:57.568067 137093242799936 pyconfig.py:471] Config param wo_tile_dlhs_mlp_dim: 1024
I0425 20:20:57.568089 137093242799936 pyconfig.py:471] Config param wo_tile_drhs_batch_seq: 512
I0425 20:20:57.568111 137093242799936 pyconfig.py:471] Config param wo_tile_drhs_embed_dim: 1024
I0425 20:20:57.568133 137093242799936 pyconfig.py:471] Config param wo_tile_drhs_mlp_dim: 1024
I0425 20:20:57.568155 137093242799936 pyconfig.py:471] Config param wo_tile_fwd_batch_seq: 512
I0425 20:20:57.568177 137093242799936 pyconfig.py:471] Config param wo_tile_fwd_embed_dim: 1024
I0425 20:20:57.568198 137093242799936 pyconfig.py:471] Config param wo_tile_fwd_mlp_dim: 1024
I0425 20:20:57.568220 137093242799936 pyconfig.py:471] Config param wsd_decay_steps_fraction: 0.1
I0425 20:20:57.568243 137093242799936 pyconfig.py:471] Config param wsd_decay_style: WsdDecayStyle.LINEAR
I0425 20:20:57.568269 137093242799936 pyconfig.py:471] Config param xprof_e2e_enable_fw_power_level_event: False
I0425 20:20:57.568293 137093242799936 pyconfig.py:471] Config param xprof_e2e_enable_fw_thermal_event: False
I0425 20:20:57.568315 137093242799936 pyconfig.py:471] Config param xprof_e2e_enable_fw_throttle_event: False
I0425 20:20:57.568343 137093242799936 pyconfig.py:471] Config param xprof_tpu_power_trace_level: 0
I0425 20:20:57.568368 137093242799936 pyconfig.py:471] Config param z_loss_multiplier: 0.0
I0425 20:20:57.568815 137093242799936 tokenizer.py:245] Tokenizer path: meta-llama/Llama-2-7b-chat-hf
I0425 20:20:57.568861 137093242799936 tokenizer.py:224] Loading HF tokenizer: meta-llama/Llama-2-7b-chat-hf
I0425 20:21:01.215321 137093242799936 _schedule.py:129] A polynomial schedule was set with a non-positive `transition_steps` value; this results in a constant schedule with value `init_value`.
I0425 20:21:01.218285 137093242799936 maxtext_utils.py:1565] Num_devices: 32, shape (1, 4, 1, 8, 1, 1, 1, 1, 1, 1, 1, 1, 1)
I0425 20:21:01.218394 137093242799936 train_distill.py:596] Applying logical axis rules for model initialization and training...
I0425 20:21:01.218466 137093242799936 train_distill.py:600] Loading Student from ...
I0425 20:21:01.218494 137093242799936 train_distill.py:169] --- Student Configuration ---
I0425 20:21:01.218515 137093242799936 train_distill.py:170]   Model Name:      gpt3-52k
I0425 20:21:01.218537 137093242799936 train_distill.py:171]   Dimensions:      1 Layers, 16 Emb Dim, 8 Head Dim
I0425 20:21:01.218555 137093242799936 train_distill.py:174]   Attention Heads: 2 Query, 2 KV
I0425 20:21:01.218573 137093242799936 train_distill.py:175]   Vocab Size:      32000
I0425 20:21:01.218598 137093242799936 train_distill.py:176]   Checkpoint:      
I0425 20:21:01.218617 137093242799936 train_distill.py:465] Initializing model: gpt3-52k...
I0425 20:21:02.625485 137093242799936 train_distill.py:614] Loading Teacher from gs://lance-maxtext/pt_seed_ckpts/pt_seed_ckpts/pt_seed_ckpt_gpt352k_v32k_linen/checkpoints/4/items...
I0425 20:21:02.625594 137093242799936 train_distill.py:169] --- Teacher Configuration ---
I0425 20:21:02.625624 137093242799936 train_distill.py:170]   Model Name:      gpt3-52k
I0425 20:21:02.625651 137093242799936 train_distill.py:171]   Dimensions:      1 Layers, 16 Emb Dim, 8 Head Dim
I0425 20:21:02.625670 137093242799936 train_distill.py:174]   Attention Heads: 2 Query, 2 KV
I0425 20:21:02.625690 137093242799936 train_distill.py:175]   Vocab Size:      32000
I0425 20:21:02.625707 137093242799936 train_distill.py:176]   Checkpoint:      gs://lance-maxtext/pt_seed_ckpts/pt_seed_ckpts/pt_seed_ckpt_gpt352k_v32k_linen/checkpoints/4/items
I0425 20:21:02.625726 137093242799936 train_distill.py:465] Initializing model: gpt3-52k...
I0425 20:21:03.691725 137093242799936 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0425 20:21:03.692182 137093242799936 base_pytree_checkpoint_handler.py:411] 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 0x7caecd674b00>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0425 20:21:03.692241 137093242799936 abstract_checkpointer.py:35] orbax-checkpoint version: 0.11.28
W0425 20:21:04.245743 137093242799936 checkpoint.py:202] Metadata file does not exist: gs://lance-maxtext/pt_seed_ckpts/pt_seed_ckpts/pt_seed_ckpt_gpt352k_v32k_linen/checkpoints/4/items/_CHECKPOINT_METADATA
I0425 20:21:04.770398    2144 google_auth_provider.cc:181] Running on GCE, using service account 562977990677-compute@developer.gserviceaccount.com
I0425 20:21:05.958174 137093242799936 checkpointer.py:304] Restoring checkpoint from gs://lance-maxtext/pt_seed_ckpts/pt_seed_ckpts/pt_seed_ckpt_gpt352k_v32k_linen/checkpoints/4/items.
W0425 20:21:07.952928 137093242799936 transform_utils.py:230] The transformations API will eventually be replaced by an upgraded design. The current API will not be removed until this point, but it will no longer be actively worked on.
I0425 20:21:07.953288 137093242799936 transform_utils.py:288] The following keys are not loaded from the original tree after applying specified transforms: params/params/decoder/to_nnx__rngs/aqt/count, params/params/decoder/to_nnx__rngs/aqt/key, params/params/decoder/to_nnx__rngs/dropout/count, params/params/decoder/to_nnx__rngs/dropout/key, params/params/decoder/to_nnx__rngs/params/count, params/params/decoder/to_nnx__rngs/params/key
I0425 20:21:09.079477 137093242799936 checkpointer.py:318] Finished restoring checkpoint in 3.51 seconds from gs://lance-maxtext/pt_seed_ckpts/pt_seed_ckpts/pt_seed_ckpt_gpt352k_v32k_linen/checkpoints/4/items.
I0425 20:21:09.771392 137093242799936 train_distill.py:640] Initializing Data Iterators via MaxText pipeline...
I0425 20:21:09.834831 137093242799936 config.py:112] TensorFlow version 2.20.0 available.
I0425 20:21:09.835328 137093242799936 config.py:125] JAX version 0.8.3 available.
E0425 20:21:11.964960 137093242799936 packing.py:209] PackAndBatchOperation is deprecated. Please use lazy_dataset.FirstFitPackIterDataset instead.
I0425 20:21:11.965175 137093242799936 data_loader.py:408] Adding CopyNumPyArrayToSharedMemory MapTransform.
I0425 20:21:11.968232 137093242799936 train_distill.py:410] Input Pipeline Checkpointing: DISABLED
I0425 20:21:11.968306 137093242799936 train_distill.py:414] Reason: Iterator 'MultiHostDataLoadIterator' is not recognized as Grain (dataset_type='DatasetType.HF', has_save=False)
I0425 20:21:11.968386 137093242799936 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0425 20:21:11.968486 137093242799936 base_pytree_checkpoint_handler.py:411] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7caecd674b00>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0425 20:21:11.968545 137093242799936 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0425 20:21:11.968594 137093242799936 base_pytree_checkpoint_handler.py:411] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7caecd674b00>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0425 20:21:11.968660 137093242799936 checkpoint_manager.py:702] [process=4][thread=MainThread] CheckpointManager init: checkpointers=None, item_names=None, item_handlers={'model_params': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c9880e04380>, 'optimizer_state': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988155c440>, 'custom_metadata': <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b4a0>}, handler_registry=None
I0425 20:21:11.968942 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "model_params". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c9880e04380>` for item "model_params" and save args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>` to `_handler_registry`.
I0425 20:21:11.968995 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "optimizer_state". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988155c440>` for item "optimizer_state" and save args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>` to `_handler_registry`.
I0425 20:21:11.969026 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "custom_metadata". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b4a0>` for item "custom_metadata" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0425 20:21:11.969063 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b0e0>` for item "metrics" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0425 20:21:11.969102 137093242799936 composite_checkpoint_handler.py:505] Initialized registry DefaultCheckpointHandlerRegistry({('model_params', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c9880e04380>, ('model_params', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c9880e04380>, ('optimizer_state', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988155c440>, ('optimizer_state', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988155c440>, ('custom_metadata', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b4a0>, ('custom_metadata', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b4a0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b0e0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c988069b0e0>}).
I0425 20:21:11.969551 137093242799936 async_checkpointer.py:177] [process=4][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7c97e3fff240> timeout: 600 secs and primary_host=0 for async checkpoint writes
I0425 20:21:14.284101 137093242799936 checkpoint_manager.py:1788] Found 0 checkpoint steps in gs://lance-maxtext/pt_ckpt_xpk_test_pipeline_scan_nnx_20260425_201236/pt_distill_linen_xpk_test_pipeline_scan_nnx_20260425_201236_07_distill_smoke/checkpoints
I0425 20:21:14.300472 137093242799936 checkpoint_manager.py:921] [process=4][thread=MainThread] CheckpointManager created,  primary_host=0, CheckpointManagerOptions=CheckpointManagerOptions(save_interval_steps=2000, 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_hns=False, 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=None, preservation_policy=None, prevent_write_metrics=False, enable_should_save_is_saving_in_progress_check=True, enable_per_process_directory_creation=False), root_directory=gs://lance-maxtext/pt_ckpt_xpk_test_pipeline_scan_nnx_20260425_201236/pt_distill_linen_xpk_test_pipeline_scan_nnx_20260425_201236_07_distill_smoke/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7c988069b470>
I0425 20:21:14.300601 137093242799936 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0425 20:21:14.300668 137093242799936 base_pytree_checkpoint_handler.py:411] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7caecd674b00>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0425 20:21:14.300702 137093242799936 pytree_checkpoint_handler.py:577] save_device_host_concurrent_bytes=None
I0425 20:21:14.300732 137093242799936 base_pytree_checkpoint_handler.py:411] Created BasePyTreeCheckpointHandler: use_ocdbt=True, use_zarr3=False, pytree_metadata_options=PyTreeMetadataOptions(support_rich_types=False), array_metadata_store=<orbax.checkpoint._src.metadata.array_metadata_store.Store object at 0x7caecd674b00>, enable_pinned_host_transfer=False, save_concurrent_bytes: 96000000000 (89.4 GiB), restore_concurrent_bytes: 96000000000 (89.4 GiB)
I0425 20:21:14.300768 137093242799936 checkpoint_manager.py:1983] [process=4][thread=MainThread][wait_until_finished] No Save Finalize thread to wait for. Returning.
I0425 20:21:14.300822 137093242799936 checkpoint.py:459] Closing _NonBlockingMetadataStore(enable_write=True, _write_lock=<locked _thread.RLock object owner=137093242799936 count=1 at 0x7ca7001d3940>, _store_impl=<orbax.checkpoint._src.metadata.checkpoint._MetadataStoreImpl object at 0x7c988069b260>, _single_thread_executor=<concurrent.futures.thread.ThreadPoolExecutor object at 0x7c988069b230>, _write_futures=[])
I0425 20:21:14.301172 137093242799936 checkpoint.py:459] Closing _NonBlockingMetadataStore(enable_write=True, _write_lock=<locked _thread.RLock object owner=137093242799936 count=1 at 0x7ca7001d3940>, _store_impl=<orbax.checkpoint._src.metadata.checkpoint._MetadataStoreImpl object at 0x7c988069b260>, _single_thread_executor=<concurrent.futures.thread.ThreadPoolExecutor object at 0x7c988069b230>, _write_futures=[])
I0425 20:21:14.301199 137093242799936 checkpoint.py:459] Closing _NonBlockingMetadataStore(enable_write=True, _write_lock=<locked _thread.RLock object owner=137093242799936 count=1 at 0x7ca7001d3940>, _store_impl=<orbax.checkpoint._src.metadata.checkpoint._MetadataStoreImpl object at 0x7c988069b260>, _single_thread_executor=<concurrent.futures.thread.ThreadPoolExecutor object at 0x7c988069b230>, _write_futures=[])
I0425 20:21:14.301230 137093242799936 checkpoint_manager.py:702] [process=4][thread=MainThread] CheckpointManager init: checkpointers=None, item_names=None, item_handlers={'model_params': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988069b440>, 'optimizer_state': <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c97e3e3eff0>, 'custom_metadata': <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3f0e0>, 'iter': <maxtext.common.checkpointing.GrainCheckpointHandler object at 0x7c97e3e3dfd0>}, handler_registry=None
I0425 20:21:14.301326 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "model_params". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988069b440>` for item "model_params" and save args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>` to `_handler_registry`.
I0425 20:21:14.301360 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "optimizer_state". Adding handler `<orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c97e3e3eff0>` for item "optimizer_state" and save args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>` to `_handler_registry`.
I0425 20:21:14.301384 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "custom_metadata". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3f0e0>` for item "custom_metadata" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0425 20:21:14.301411 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "iter". Adding handler `<maxtext.common.checkpointing.GrainCheckpointHandler object at 0x7c97e3e3dfd0>` for item "iter" and save args `<class 'maxtext.common.checkpointing.GrainCheckpointSave'>` and restore args `<class 'maxtext.common.checkpointing.GrainCheckpointRestore'>` to `_handler_registry`.
I0425 20:21:14.301433 137093242799936 composite_checkpoint_handler.py:237] Deferred registration for item: "metrics". Adding handler `<orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3dc10>` for item "metrics" and save args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>` and restore args `<class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>` to `_handler_registry`.
I0425 20:21:14.301457 137093242799936 composite_checkpoint_handler.py:505] Initialized registry DefaultCheckpointHandlerRegistry({('model_params', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988069b440>, ('model_params', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c988069b440>, ('optimizer_state', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeSaveArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c97e3e3eff0>, ('optimizer_state', <class 'orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeRestoreArgs'>): <orbax.checkpoint._src.handlers.pytree_checkpoint_handler.PyTreeCheckpointHandler object at 0x7c97e3e3eff0>, ('custom_metadata', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3f0e0>, ('custom_metadata', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3f0e0>, ('iter', <class 'maxtext.common.checkpointing.GrainCheckpointSave'>): <maxtext.common.checkpointing.GrainCheckpointHandler object at 0x7c97e3e3dfd0>, ('iter', <class 'maxtext.common.checkpointing.GrainCheckpointRestore'>): <maxtext.common.checkpointing.GrainCheckpointHandler object at 0x7c97e3e3dfd0>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonSaveArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3dc10>, ('metrics', <class 'orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonRestoreArgs'>): <orbax.checkpoint._src.handlers.json_checkpoint_handler.JsonCheckpointHandler object at 0x7c97e3e3dc10>}).
I0425 20:21:14.301530 137093242799936 async_checkpointer.py:177] [process=4][thread=MainThread] Using barrier_sync_fn: <function get_barrier_sync_fn.<locals>._fn at 0x7c97e3fff380> timeout: 600 secs and primary_host=0 for async checkpoint writes
I0425 20:21:14.673759 137093242799936 checkpoint_manager.py:1788] Found 0 checkpoint steps in gs://lance-maxtext/pt_ckpt_xpk_test_pipeline_scan_nnx_20260425_201236/pt_distill_linen_xpk_test_pipeline_scan_nnx_20260425_201236_07_distill_smoke/checkpoints
I0425 20:21:15.126462 137093242799936 checkpoint_manager.py:921] [process=4][thread=MainThread] CheckpointManager created,  primary_host=0, CheckpointManagerOptions=CheckpointManagerOptions(save_interval_steps=2000, 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_hns=False, 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=None, preservation_policy=None, prevent_write_metrics=False, enable_should_save_is_saving_in_progress_check=True, enable_per_process_directory_creation=False), root_directory=gs://lance-maxtext/pt_ckpt_xpk_test_pipeline_scan_nnx_20260425_201236/pt_distill_linen_xpk_test_pipeline_scan_nnx_20260425_201236_07_distill_smoke/checkpoints: <orbax.checkpoint.checkpoint_manager.CheckpointManager object at 0x7c9880e060c0>
I0425 20:21:15.127110 137093242799936 train_distill.py:691] Starting Distillation Training...
I0425 20:21:15.127236 137093242799936 peft_trainer.py:590] Training with mesh: Mesh('diloco': 1, 'data': 4, 'stage': 1, 'fsdp': 8, 'fsdp_transpose': 1, 'sequence': 1, 'context': 1, 'context_autoregressive': 1, 'tensor': 1, 'tensor_transpose': 1, 'tensor_sequence': 1, 'expert': 1, 'autoregressive': 1, axis_types=(Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto, Auto))
I0425 20:21:15.475644 137093242799936 peft_trainer.py:600] Compiled train_step cache size: 0

Training:   0%|          | 0/5 [00:00<?, ?step/s]I0425 20:21:15.477568 136948630931200 grain_pool.py:367] Grain pool will use 1 processes.
I0425 20:21:15.504040 136948630931200 grain_pool.py:440] Grain pool will start child processes.
I0425 20:21:15.509222 136948630931200 grain_pool.py:448] Grain pool started all child processes.
2026-04-25 20:21:21.522615: 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)
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
`rope_scaling`'s factor field must be a float >= 1, got 40
`rope_scaling`'s beta_fast field must be a float, got 32
`rope_scaling`'s beta_slow field must be a float, got 1
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
Unrecognized keys in `rope_scaling` for 'rope_type'='yarn': {'rope_theta'}
I0425 20:21:24.767581 137093242799936 utils.py:86] Train loop finished in: 9.2913 seconds
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/deps/src/maxtext/trainers/post_train/distillation/train_distill.py", line 765, in <module>
    app.run(main)
  File "/usr/local/lib/python3.12/site-packages/absl/app.py", line 316, in run
    _run_main(main, args)
  File "/usr/local/lib/python3.12/site-packages/absl/app.py", line 261, in _run_main
    sys.exit(main(argv))
             ^^^^^^^^^^
  File "/deps/src/maxtext/trainers/post_train/distillation/train_distill.py", line 761, in main
    train_distill(student_config, teacher_config, is_offline, global_config.offline_data_dir)
  File "/deps/src/maxtext/trainers/post_train/distillation/train_distill.py", line 693, in train_distill
    trainer.train(train_iter, eval_iter)
  File "/usr/local/lib/python3.12/site-packages/tunix/sft/peft_trainer.py", line 659, in train
    train_example = sharding_utils.shard_input(
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/tunix/sft/sharding_utils.py", line 58, in shard_input
    return jax.tree.map(
           ^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/tree.py", line 155, in map
    return tree_util.tree_map(f, tree, *rest, is_leaf=is_leaf)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/tree_util.py", line 362, in tree_map
    return treedef.unflatten(f(*xs) for xs in zip(*all_leaves))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/tree_util.py", line 362, in <genexpr>
    return treedef.unflatten(f(*xs) for xs in zip(*all_leaves))
                             ^^^^^^
  File "/usr/local/lib/python3.12/site-packages/tunix/sft/sharding_utils.py", line 59, in <lambda>
    lambda x: jax.make_array_from_process_local_data(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/array.py", line 986, in make_array_from_process_local_data
    out = [_array_from_process_local_data(data, s, shape)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/array.py", line 1048, in _array_from_process_local_data
    return make_array_from_callback(global_shape, sharding, cb)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/array.py", line 845, in make_array_from_callback
    per_device_values = api.device_put(per_device_values, devices)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/api.py", line 2729, in device_put
    out_flat = dispatch._batched_device_put_impl(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/dispatch.py", line 558, in _batched_device_put_impl
    y = _device_put_impl(x, device=device, src=src, copy=cp, aval=aval)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/dispatch.py", line 545, in _device_put_impl
    return _device_put_sharding_impl(x, aval, device, copy)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/site-packages/jax/_src/dispatch.py", line 487, in _device_put_sharding_impl
    raise ValueError(
ValueError: device_put's first argument must be a fully addressable array, but got value with devices {TpuDevice(id=22, process_index=5, coords=(2,5,0), core_on_chip=0), TpuDevice(id=27, process_index=7, coords=(3,6,0), core_on_chip=0), TpuDevice(id=29, process_index=6, coords=(1,7,0), core_on_chip=0), TpuDevice(id=7, process_index=1, coords=(3,1,0), core_on_chip=0), TpuDevice(id=30, process_index=7, coords=(2,7,0), core_on_chip=0), TpuDevice(id=13, process_index=2, coords=(1,3,0), core_on_chip=0), TpuDevice(id=5, process_index=0, coords=(1,1,0), core_on_chip=0), TpuDevice(id=4, process_index=0, coords=(0,1,0), core_on_chip=0), TpuDevice(id=1, process_index=0, coords=(1,0,0), core_on_chip=0), TpuDevice(id=10, process_index=3, coords=(2,2,0), core_on_chip=0), TpuDevice(id=23, process_index=5, coords=(3,5,0), core_on_chip=0), TpuDevice(id=25, process_index=6, coords=(1,6,0), core_on_chip=0), TpuDevice(id=20, process_index=4, coords=(0,5,0), core_on_chip=0), TpuDevice(id=8, process_index=2, coords=(0,2,0), core_on_chip=0), TpuDevice(id=3, process_index=1, coords=(3,0,0), core_on_chip=0), TpuDevice(id=15, process_index=3, coords=(3,3,0), core_on_chip=0), TpuDevice(id=11, process_index=3, coords=(3,2,0), core_on_chip=0), TpuDevice(id=12, process_index=2, coords=(0,3,0), core_on_chip=0), TpuDevice(id=24, process_index=6, coords=(0,6,0), core_on_chip=0), TpuDevice(id=19, process_index=5, coords=(3,4,0), core_on_chip=0), TpuDevice(id=0, process_index=0, coords=(0,0,0), core_on_chip=0), TpuDevice(id=21, process_index=4, coords=(1,5,0), core_on_chip=0), TpuDevice(id=31, process_index=7, coords=(3,7,0), core_on_chip=0), TpuDevice(id=6, process_index=1, coords=(2,1,0), core_on_chip=0), TpuDevice(id=26, process_index=7, coords=(2,6,0), core_on_chip=0), TpuDevice(id=28, process_index=6, coords=(0,7,0), core_on_chip=0), TpuDevice(id=14, process_index=3, coords=(2,3,0), core_on_chip=0), TpuDevice(id=16, process_index=4, coords=(0,4,0), core_on_chip=0), TpuDevice(id=18, process_index=5, coords=(2,4,0), core_on_chip=0), TpuDevice(id=9, process_index=2, coords=(1,2,0), core_on_chip=0), TpuDevice(id=17, process_index=4, coords=(1,4,0), core_on_chip=0), TpuDevice(id=2, process_index=1, coords=(2,0,0), core_on_chip=0)}
I0425 20:21:25.110014 136948630931200 grain_pool.py:542] Grain pool is exiting.
I0425 20:21:25.110114 136948630931200 grain_pool.py:547] Shutting down multiprocessing system.
I0425 20:21:26.555464 136948630931200 grain_pool.py:547] Shutting down multiprocessing system.

Training:   0%|          | 0/5 [00:13<?, ?step/s]
/usr/local/lib/python3.12/multiprocessing/resource_tracker.py:279: UserWarning: resource_tracker: There appear to be 15 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
XPK End: Sat Apr 25 20:21:34 UTC 2026
EXIT_CODE=1