Skip to content

Instantly share code, notes, and snippets.

@aflah02

aflah02/out_file_slurm.txt Secret

Last active January 9, 2025 09:05
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save aflah02/e1541111956d9721b125ffc1ff34cd93 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save aflah02/e1541111956d9721b125ffc1ff34cd93 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
out_file_slurm.txt
Creating hostfile...
Hostfile created.
[2025-01-09 09:54:53,173] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
NeoXArgs.from_ymls() ['./configs/6-7B.yml', './configs/local_setup_wandb_modified_with_slurm.yml']
-------------------- arguments --------------------
attention_config ................ ['flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash', 'flash']updated
batch_size ...................... 1...........................updated
checkpoint_activations .......... True........................updated
checkpoint_factor ............... 10000.......................updated
config_files .................... {'6-7B.yml': '# GPT-2 pretraining setup\n{\n # parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages\n # across the node boundaries )\n "pipe_parallel_size": 1,\n "model_parallel_size": 2,\n\n # model settings\n "num_layers": 32,\n "hidden_size": 4096,\n "num_attention_heads": 32,\n "seq_length": 2048,\n "max_position_embeddings": 2048,\n "norm": "layernorm",\n "pos_emb": "rotary",\n "no_weight_tying": true,\n "gpt_j_residual": false,\n "output_layer_parallelism": "column",\n\n # these should provide some speedup but takes a while to build, set to true if desired\n "scaled_upper_triang_masked_softmax_fusion": false,\n "bias_gelu_fusion": false,\n "rope_fusion": false,\n "layernorm_fusion": false,\n\n # init methods\n "init_method": "small_init",\n "output_layer_init_method": "wang_init",\n\n # optimizer settings\n "optimizer": {\n "type": "Adam",\n "params": {\n "lr": 0.00012,\n "betas": [0.9, 0.95],\n "eps": 1.0e-8,\n }\n },\n\n # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training\n "zero_optimization": {\n "stage": 1,\n "allgather_partitions": True,\n "allgather_bucket_size": 500000000,\n "overlap_comm": True,\n "reduce_scatter": True,\n "reduce_bucket_size": 500000000,\n "contiguous_gradients": True,\n },\n "min_lr": 0.000012,\n\n # batch / data settings\n "train_micro_batch_size_per_gpu": 1,\n "data_impl": "mmap",\n\n # activation checkpointing\n "checkpoint_activations": true,\n "checkpoint_num_layers": 1,\n "partition_activations": true,\n "synchronize_each_layer": true,\n\n # regularization\n "gradient_clipping": 1.0,\n "weight_decay": 0.1,\n "hidden_dropout": 0,\n "attention_dropout": 0,\n # Flash Attention\n "attention_config": [[["flash"], 32]],\n # precision settings\n "fp16": {\n "fp16": true,\n "enabled": true,\n "loss_scale": 0,\n "loss_scale_window": 1000,\n "hysteresis": 2,\n "min_loss_scale": 1\n },\n\n # misc. training settings\n "train_iters": 320000,\n "lr_decay_iters": 320000,\n "distributed_backend": "nccl",\n "lr_decay_style": "cosine",\n "warmup": 0.01,\n "checkpoint_factor": 10000,\n "eval_interval": 1000,\n "eval_iters": 10,\n\n # logging\n "log_interval": 100,\n "steps_per_print": 10,\n "keep_last_n_checkpoints": 4,\n "wall_clock_breakdown": true,\n\n "memory_profiling": true,\n "memory_profiling_path": "/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/Artifacts/Profiles",\n "profile_step_start": 0,\n "profile_step_stop": 100\n}\n', 'local_setup_wandb_modified_with_slurm.yml': '# Suggested data paths when using GPT-NeoX locally\n{\n "data_path": "data/enwik8/enwik8_text_document",\n\n # or for weighted datasets:\n # "train-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],\n # "test-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],\n # "valid-data-paths": ["data/enwik8/enwik8_text_document", "data/enwik8/enwik8_text_document"],\n # "train-data-weights": [1., 2.],\n # "test-data-weights": [2., 1.],\n # "valid-data-weights": [0.5, 0.4],\n\n # If weight_by_num_documents is True, Builds dataset weights from a multinomial distribution over groups of data according to the number of documents in each group.\n # WARNING: setting this to True will override any user provided weights\n # "weight_by_num_documents": false,\n # "weighted_sampler_alpha": 0.3,\n\n "vocab_file": "data/gpt2-vocab.json",\n "merge_file": "data/gpt2-merges.txt",\n\n "save": "checkpoints",\n "load": "checkpoints",\n "checkpoint_validation_with_forward_pass": False,\n\n "tensorboard_dir": "tensorboard",\n "log_dir": "logs",\n "use_wandb": True,\n "wandb_host": "https://api.wandb.ai",\n "wandb_project": "neox",\n "wandb_run_name": "6.7B-FA-BS-1-2x8xA100",\n\n "peak_theoretical_tflops": 312,\n\n "launcher": "slurm",\n "deepspeed_slurm": true,\n "no_ssh_check": true,\n}\n'}updated
data_impl ....................... mmap........................updated
data_path ....................... data/enwik8/enwik8_text_documentupdated
deepspeed_slurm ................. True........................updated
dynamic_loss_scale .............. True........................updated
eval_iters ...................... 10..........................updated
fp16 ............................ {'fp16': True, 'enabled': True, 'loss_scale': 0, 'loss_scale_window': 1000, 'hysteresis': 2, 'min_loss_scale': 1}updated
global_num_gpus ................. 16..........................updated
hidden_size ..................... 4096........................updated
init_method ..................... small_init..................updated
is_pipe_parallel ................ True........................updated
keep_last_n_checkpoints ......... 4...........................updated
launcher ........................ slurm.......................updated
load ............................ checkpoints.................updated
log_dir ......................... logs........................updated
lr .............................. 0.00012.....................updated
lr_decay_iters .................. 320000......................updated
lr_decay_style .................. cosine......................updated
max_position_embeddings ......... 2048........................updated
memory_profiling ................ True........................updated
memory_profiling_path ........... /NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/Artifacts/Profilesupdated
merge_file ...................... data/gpt2-merges.txt........updated
min_lr .......................... 1.2e-05.....................updated
model_parallel_size ............. 2...........................updated
no_ssh_check .................... True........................updated
no_weight_tying ................. True........................updated
num_attention_heads ............. 32..........................updated
num_layers ...................... 32..........................updated
optimizer ....................... {'type': 'Adam', 'params': {'lr': 0.00012, 'betas': [0.9, 0.95], 'eps': 1e-08}}updated
optimizer_type .................. Adam........................updated
output_layer_init_method ........ wang_init...................updated
partition_activations ........... True........................updated
peak_theoretical_tflops ......... 312.........................updated
pipe_parallel_size .............. 1...........................updated
pos_emb ......................... rotary......................updated
precision ....................... fp16........................updated
profile_step_start .............. 0...........................updated
profile_step_stop ............... 100.........................updated
save ............................ checkpoints.................updated
seq_length ...................... 2048........................updated
sparsity_config ................. {}..........................updated
synchronize_each_layer .......... True........................updated
tensorboard_dir ................. tensorboard.................updated
text_gen_type ................... unconditional...............updated
train_batch_size ................ 8...........................updated
train_iters ..................... 320000......................updated
train_micro_batch_size_per_gpu .. 1...........................updated
use_wandb ....................... True........................updated
user_script ..................... train.py....................updated
vocab_file ...................... data/gpt2-vocab.json........updated
wall_clock_breakdown ............ True........................updated
wandb_group ..................... 5i4cy3vh_n5bc7y7e...........updated
wandb_run_name .................. 6.7B-FA-BS-1-2x8xA100.......updated
zero_allgather_bucket_size ...... 500000000...................updated
zero_contiguous_gradients ....... True........................updated
zero_optimization ............... {'stage': 1, 'allgather_partitions': True, 'allgather_bucket_size': 500000000, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 500000000, 'contiguous_gradients': True}updated
zero_reduce_bucket_size ......... 500000000...................updated
zero_reduce_scatter ............. True........................updated
zero_stage ...................... 1...........................updated
account ......................... None........................default
activation ...................... gelu........................default
activation_checkpointing ........ None........................default
adlr_autoresume ................. False.......................default
adlr_autoresume_interval ........ 1000........................default
allow_chopped ................... True........................default
amp ............................. None........................default
apply_query_key_layer_scaling ... False.......................default
attention_dropout ............... 0...........................default
attention_softmax_in_fp32 ....... False.......................default
autotuning ...................... None........................default
autotuning_run .................. None........................default
base_shapes_file ................ None........................default
bf16 ............................ None........................default
bias_dropout_fusion ............. False.......................default
bias_gelu_fusion ................ False.......................default
char_level_ppl .................. False.......................default
checkpoint ...................... None........................default
checkpoint_in_cpu ............... False.......................default
checkpoint_num_layers ........... 1...........................default
checkpoint_scale ................ linear......................default
checkpoint_validation_with_forward_pass False................default
clip_grad ....................... 1.0.........................default
comet_experiment ................ None........................default
comet_experiment_name ........... None........................default
comet_others .................... None........................default
comet_project ................... None........................default
comet_tags ...................... None........................default
comet_workspace ................. None........................default
comment ......................... None........................default
comms_logger .................... None........................default
communication_data_type ......... None........................default
compression_training ............ None........................default
contiguous_checkpointing ........ False.......................default
coord_check ..................... False.......................default
create_moe_param_group .......... True........................default
csv_monitor ..................... None........................default
curriculum_learning ............. None........................default
curriculum_seqlen ............... 0...........................default
data_efficiency ................. None........................default
data_types ...................... None........................default
dataset_impl .................... gpt2........................default
deepscale ....................... False.......................default
deepscale_config ................ None........................default
deepspeed ....................... True........................default
deepspeed_activation_checkpointing True......................default
deepspeed_extra_args ............ None........................default
deepspeed_mpi ................... False.......................default
detect_nvlink_pairs ............. False.......................default
dim_att ......................... None........................default
distributed_backend ............. nccl........................default
do_test ......................... None........................default
do_train ........................ None........................default
do_valid ........................ None........................default
dpo_beta ........................ 0.1.........................default
dpo_fp32 ........................ True........................default
dpo_reference_free .............. False.......................default
dump_state ...................... False.......................default
elasticity ...................... None........................default
enable_expert_tensor_parallelism False.......................default
eod_mask_loss ................... False.......................default
eval_interval ................... 1000........................default
eval_results_prefix ............. ............................default
eval_tasks ...................... None........................default
exclude ......................... None........................default
exit_interval ................... None........................default
expansion_factor ................ None........................default
expert_interval ................. 2...........................default
extra_save_iters ................ None........................default
ffn_dim ......................... None........................default
finetune ........................ False.......................default
flops_profiler .................. None........................default
force_multi ..................... False.......................default
fp16_lm_cross_entropy ........... False.......................default
fp32_allreduce .................. False.......................default
fp32_reinforce .................. True........................default
git_hash ........................ dc454ee.....................default
gmlp_attn_dim ................... 64..........................default
gpt_j_residual .................. False.......................default
gpt_j_tied ...................... False.......................default
gradient_accumulation_steps ..... 1...........................default
gradient_clipping ............... 1.0.........................default
gradient_noise_scale_cpu_offload False.......................default
gradient_noise_scale_n_batches .. 5...........................default
gradient_predivide_factor ....... 1.0.........................default
head_size ....................... None........................default
hidden_dropout .................. 0...........................default
hostfile ........................ None........................default
hysteresis ...................... 2...........................default
include ......................... None........................default
init_method_std ................. 0.02........................default
intermediate_size ............... None........................default
iteration ....................... None........................default
kl_div_beta ..................... 0.1.........................default
kl_impl ......................... mse.........................default
kto_beta ........................ 0.1.........................default
kto_desirable_weight ............ 1.0.........................default
kto_fp32 ........................ True........................default
kto_undesirable_weight .......... 1.0.........................default
layernorm_epsilon ............... 1e-05.......................default
layernorm_fusion ................ False.......................default
lazy_mpu_init ................... False.......................default
local_rank ...................... None........................default
log_grad_norm ................... False.......................default
log_grad_pct_zeros .............. False.......................default
log_gradient_noise_scale ........ False.......................default
log_interval .................... 100.........................default
log_optimizer_states ............ False.......................default
log_param_norm .................. False.......................default
loss_scale ...................... None........................default
loss_scale_window ............... 1000.0......................default
lr_decay_fraction ............... None........................default
make_vocab_size_divisible_by .... 128.........................default
mamba_causal_conv_fusion ........ False.......................default
mamba_inner_func_fusion ......... False.......................default
mamba_selective_fp32_params ..... True........................default
mamba_selective_scan_fusion ..... False.......................default
mamba_use_bias_in_conv .......... True........................default
mamba_use_bias_in_linears ....... False.......................default
master_addr ..................... None........................default
master_port ..................... 29500.......................default
maximum_tokens .................. 64..........................default
min_scale ....................... 1.0.........................default
mlp_multiple_of ................. 1...........................default
mmap_warmup ..................... False.......................default
moe_eval_capacity_factor ........ 1.0.........................default
moe_expert_parallel_size ........ 1...........................default
moe_glu ......................... False.......................default
moe_jitter_eps .................. None........................default
moe_lbl_in_fp32 ................. False.......................default
moe_loss_coeff .................. 0.1.........................default
moe_min_capacity ................ 4...........................default
moe_num_experts ................. 1...........................default
moe_token_dropping .............. False.......................default
moe_top_k ....................... 1...........................default
moe_train_capacity_factor ....... 1.0.........................default
moe_type ........................ megablocks..................default
moe_use_residual ................ True........................default
mup_attn_temp ................... 1.0.........................default
mup_embedding_mult .............. 1.0.........................default
mup_init_scale .................. 1.0.........................default
mup_output_temp ................. 1.0.........................default
mup_rp_embedding_mult ........... 1.0.........................default
mup_width_scale ................. 2...........................default
neg_test_data_paths ............. None........................default
neg_test_label_data_paths ....... None........................default
neg_train_data_paths ............ None........................default
neg_train_label_data_paths ...... None........................default
neg_valid_data_paths ............ None........................default
neg_valid_label_data_paths ...... None........................default
no_load_optim ................... False.......................default
no_load_rng ..................... False.......................default
no_save_optim ................... False.......................default
no_save_rng ..................... False.......................default
norm ............................ layernorm...................default
num_gpus ........................ None........................default
num_kv_heads .................... None........................default
num_nodes ....................... -1..........................default
num_samples ..................... 1...........................default
num_unique_layers ............... None........................default
num_workers ..................... 2...........................default
online_dataserver_ips ........... localhost...................default
online_dataserver_ports ......... 10000.......................default
onnx_safe ....................... False.......................default
opt_pos_emb_offset .............. 0...........................default
output_layer_parallelism ........ column......................default
override_lr_scheduler ........... False.......................default
pack_impl ....................... packed......................default
padded_vocab_size ............... None........................default
param_sharing_style ............. grouped.....................default
pipe_partition_method ........... type:transformer|mlp........default
pos_test_data_paths ............. None........................default
pos_test_label_data_paths ....... None........................default
pos_train_data_paths ............ None........................default
pos_train_label_data_paths ...... None........................default
pos_valid_data_paths ............ None........................default
pos_valid_label_data_paths ...... None........................default
precompute_model_name ........... None........................default
prescale_gradients .............. False.......................default
profile ......................... False.......................default
profile_backward ................ False.......................default
prompt_end ......................
...........................default
rank ............................ None........................default
recompute ....................... False.......................default
reinforce_leave_one_out ......... False.......................default
return_logits ................... False.......................default
rms_norm_epsilon ................ 1e-08.......................default
rmsnorm_fusion .................. False.......................default
rope_fusion ..................... False.......................default
rotary_emb_base ................. 10000.......................default
rotary_pct ...................... 1.0.........................default
rotary_save_freqs_buffer ........ False.......................default
rpe_max_distance ................ 128.........................default
rpe_num_buckets ................. 32..........................default
s3_chunk_size ................... 104857600...................default
s3_path ......................... None........................default
sample_input_file ............... None........................default
sample_output_file .............. samples.txt.................default
save_base_shapes ................ False.......................default
scaled_masked_softmax_fusion .... False.......................default
scaled_upper_triang_masked_softmax_fusion False..............default
scalenorm_epsilon ............... 1e-08.......................default
scheduler ....................... None........................default
seed ............................ 1234........................default
sequence_parallel ............... False.......................default
serve_model_weights ............. False.......................default
short_seq_prob .................. 0.1.........................default
sliding_window_width ............ None........................default
soft_prompt_tuning .............. None........................default
sparse_attention ................ None........................default
sparse_gradients ................ False.......................default
split ........................... 969, 30, 1..................default
steps_per_print ................. 10..........................default
te_columnparallel ............... False.......................default
te_fp8_amax_compute_algo ........ most_recent.................default
te_fp8_amax_history_len ......... 1...........................default
te_fp8_format ................... hybrid......................default
te_fp8_margin ................... 0...........................default
te_fp8_mha ...................... False.......................default
te_fp8_wgrad .................... True........................default
te_layernorm_mlp ................ False.......................default
te_mha .......................... False.......................default
te_rowparallel .................. False.......................default
temperature ..................... 0.0.........................default
tensorboard ..................... None........................default
test_data_paths ................. None........................default
test_data_weights ............... None........................default
test_label_data_paths ........... None........................default
test_reward_data_paths .......... None........................default
tokenizer_type .................. GPT2BPETokenizer............default
top_k ........................... 0...........................default
top_p ........................... 0.0.........................default
train_data_paths ................ None........................default
train_data_weights .............. None........................default
train_epochs .................... None........................default
train_impl ...................... normal......................default
train_label_data_paths .......... None........................default
train_reward_data_paths ......... None........................default
use_bias_in_attn_linear ......... True........................default
use_bias_in_mlp ................. True........................default
use_bias_in_norms ............... True........................default
use_bnb_optimizer ............... False.......................default
use_checkpoint_lr_scheduler ..... False.......................default
use_comet ....................... None........................default
use_cpu_initialization .......... False.......................default
use_flashattn_swiglu ............ False.......................default
use_mup ......................... False.......................default
use_qk_layernorm ................ False.......................default
use_shared_fs ................... True........................default
use_tutel ....................... False.......................default
valid_data_paths ................ None........................default
valid_data_weights .............. None........................default
valid_label_data_paths .......... None........................default
valid_reward_data_paths ......... None........................default
wandb ........................... None........................default
wandb_host ...................... https://api.wandb.ai........default
wandb_init_all_ranks ............ False.......................default
wandb_project ................... neox........................default
wandb_team ...................... None........................default
warmup .......................... 0.01........................default
weight_by_num_documents ......... False.......................default
weight_decay .................... 0.1.........................default
weight_server_port .............. 6000........................default
weighted_sampler_alpha .......... 1.0.........................default
world_size ...................... None........................default
z_loss .......................... 0.0.........................default
---------------- end of arguments ----------------
NeoXArgs.configure_distributed_args() using world size: 16 and model-parallel size: 2
[2025-01-09 09:55:17,930] [INFO] [runner.py:586:main] cmd = srun -n 16 --export=ALL,WANDB_API_KEY=REMOVED,PYTHONPATH=/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox /NS/venvs/work/afkhan/neoxolmo/bin/python -u train.py --deepspeed_config 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 --megatron_config {"launcher": "slurm", "no_ssh_check": true, "train_batch_size": 8, "train_micro_batch_size_per_gpu": 1, "optimizer": {"type": "Adam", "params": {"lr": 0.00012, "betas": [0.9, 0.95], "eps": 1e-08}}, "fp16": {"fp16": true, "enabled": true, "loss_scale": 0, "loss_scale_window": 1000, "hysteresis": 2, "min_loss_scale": 1}, "zero_optimization": {"stage": 1, "allgather_partitions": true, "allgather_bucket_size": 500000000, "overlap_comm": true, "reduce_scatter": true, "reduce_bucket_size": 500000000, "contiguous_gradients": true}, "wall_clock_breakdown": true, "precision": "fp16", "num_layers": 32, "hidden_size": 4096, "num_attention_heads": 32, "seq_length": 2048, "max_position_embeddings": 2048, "pos_emb": "rotary", "no_weight_tying": true, "attention_config": ["flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash", "flash"], "sparsity_config": {}, "init_method": "small_init", "output_layer_init_method": "wang_init", "lr_decay_style": "cosine", "lr_decay_iters": 320000, "min_lr": 1.2e-05, "optimizer_type": "Adam", "zero_stage": 1, "zero_reduce_scatter": true, "zero_contiguous_gradients": true, "zero_reduce_bucket_size": 500000000, "zero_allgather_bucket_size": 500000000, "lr": 0.00012, "data_path": "data/enwik8/enwik8_text_document", "data_impl": "mmap", "save": "checkpoints", "config_files": {"6-7B.yml": "# GPT-2 pretraining setup\n{\n   # parallelism settings ( you will want to change these based on your cluster setup, ideally scheduling pipeline stages\n   # across the node boundaries )\n   \"pipe_parallel_size\": 1,\n   \"model_parallel_size\": 2,\n\n   # model settings\n   \"num_layers\": 32,\n   \"hidden_size\": 4096,\n   \"num_attention_heads\": 32,\n   \"seq_length\": 2048,\n   \"max_position_embeddings\": 2048,\n   \"norm\": \"layernorm\",\n   \"pos_emb\": \"rotary\",\n   \"no_weight_tying\": true,\n   \"gpt_j_residual\": false,\n   \"output_layer_parallelism\": \"column\",\n\n   # these should provide some speedup but takes a while to build, set to true if desired\n   \"scaled_upper_triang_masked_softmax_fusion\": false,\n   \"bias_gelu_fusion\": false,\n   \"rope_fusion\": false,\n   \"layernorm_fusion\": false,\n\n   # init methods\n   \"init_method\": \"small_init\",\n   \"output_layer_init_method\": \"wang_init\",\n\n   # optimizer settings\n   \"optimizer\": {\n     \"type\": \"Adam\",\n     \"params\": {\n       \"lr\": 0.00012,\n       \"betas\": [0.9, 0.95],\n       \"eps\": 1.0e-8,\n     }\n   },\n\n   # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training\n   \"zero_optimization\": {\n    \"stage\": 1,\n    \"allgather_partitions\": True,\n    \"allgather_bucket_size\": 500000000,\n    \"overlap_comm\": True,\n    \"reduce_scatter\": True,\n    \"reduce_bucket_size\": 500000000,\n    \"contiguous_gradients\": True,\n  },\n   \"min_lr\": 0.000012,\n\n   # batch / data settings\n   \"train_micro_batch_size_per_gpu\": 1,\n   \"data_impl\": \"mmap\",\n\n   # activation checkpointing\n   \"checkpoint_activations\": true,\n   \"checkpoint_num_layers\": 1,\n   \"partition_activations\": true,\n   \"synchronize_each_layer\": true,\n\n   # regularization\n   \"gradient_clipping\": 1.0,\n   \"weight_decay\": 0.1,\n   \"hidden_dropout\": 0,\n   \"attention_dropout\": 0,\n   # Flash Attention\n   \"attention_config\": [[[\"flash\"], 32]],\n   # precision settings\n   \"fp16\": {\n     \"fp16\": true,\n     \"enabled\": true,\n     \"loss_scale\": 0,\n     \"loss_scale_window\": 1000,\n     \"hysteresis\": 2,\n     \"min_loss_scale\": 1\n   },\n\n   # misc. training settings\n   \"train_iters\": 320000,\n   \"lr_decay_iters\": 320000,\n   \"distributed_backend\": \"nccl\",\n   \"lr_decay_style\": \"cosine\",\n   \"warmup\": 0.01,\n   \"checkpoint_factor\": 10000,\n   \"eval_interval\": 1000,\n   \"eval_iters\": 10,\n\n   # logging\n   \"log_interval\": 100,\n   \"steps_per_print\": 10,\n   \"keep_last_n_checkpoints\": 4,\n   \"wall_clock_breakdown\": true,\n\n   \"memory_profiling\": true,\n   \"memory_profiling_path\": \"/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/Artifacts/Profiles\",\n   \"profile_step_start\": 0,\n   \"profile_step_stop\": 100\n}\n", "local_setup_wandb_modified_with_slurm.yml": "# Suggested data paths when using GPT-NeoX locally\n{\n  \"data_path\": \"data/enwik8/enwik8_text_document\",\n\n  # or for weighted datasets:\n  # \"train-data-paths\": [\"data/enwik8/enwik8_text_document\", \"data/enwik8/enwik8_text_document\"],\n  # \"test-data-paths\": [\"data/enwik8/enwik8_text_document\", \"data/enwik8/enwik8_text_document\"],\n  # \"valid-data-paths\": [\"data/enwik8/enwik8_text_document\", \"data/enwik8/enwik8_text_document\"],\n  # \"train-data-weights\": [1., 2.],\n  # \"test-data-weights\": [2., 1.],\n  # \"valid-data-weights\": [0.5, 0.4],\n\n  # If weight_by_num_documents is True, Builds dataset weights from a multinomial distribution over groups of data according to the number of documents in each group.\n  # WARNING: setting this to True will override any user provided weights\n  # \"weight_by_num_documents\": false,\n  # \"weighted_sampler_alpha\": 0.3,\n\n  \"vocab_file\": \"data/gpt2-vocab.json\",\n  \"merge_file\": \"data/gpt2-merges.txt\",\n\n  \"save\": \"checkpoints\",\n  \"load\": \"checkpoints\",\n  \"checkpoint_validation_with_forward_pass\": False,\n\n  \"tensorboard_dir\": \"tensorboard\",\n  \"log_dir\": \"logs\",\n  \"use_wandb\": True,\n  \"wandb_host\": \"https://api.wandb.ai\",\n  \"wandb_project\": \"neox\",\n  \"wandb_run_name\": \"6.7B-FA-BS-1-2x8xA100\",\n\n  \"peak_theoretical_tflops\": 312,\n\n  \"launcher\": \"slurm\",\n  \"deepspeed_slurm\": true,\n  \"no_ssh_check\": true,\n}\n"}, "load": "checkpoints", "checkpoint_factor": 10000, "batch_size": 1, "train_iters": 320000, "eval_iters": 10, "keep_last_n_checkpoints": 4, "vocab_file": "data/gpt2-vocab.json", "merge_file": "data/gpt2-merges.txt", "checkpoint_activations": true, "synchronize_each_layer": true, "partition_activations": true, "dynamic_loss_scale": true, "pipe_parallel_size": 1, "model_parallel_size": 2, "world_size": 16, "is_pipe_parallel": true, "use_wandb": true, "wandb_group": "5i4cy3vh_n5bc7y7e", "wandb_run_name": "6.7B-FA-BS-1-2x8xA100", "log_dir": "logs", "tensorboard_dir": "tensorboard", "peak_theoretical_tflops": 312, "memory_profiling": true, "memory_profiling_path": "/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/Artifacts/Profiles", "profile_step_start": 0, "profile_step_stop": 100, "text_gen_type": "unconditional", "local_rank": 0, "rank": 0, "deepspeed_slurm": true, "user_script": "train.py", "global_num_gpus": 16}
[2025-01-09 09:55:25,210] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:25,210] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:25,216] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:25,220] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:25,223] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:25,223] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:25,223] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:27,574] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,365] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,368] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,369] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,369] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,369] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,369] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,369] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2025-01-09 09:55:36,369] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
NeoXArgs.configure_distributed_args() using world size: 16 and model-parallel size: 2
> building GPT2BPETokenizer tokenizer ...
> padded vocab (size: 50257) with 175 dummy tokens (new size: 50432)
WARNING: TensorBoard writing requested but is not available (are you using PyTorch 1.1.0 or later and do you have tensorboard installed?), no TensorBoard logs will be written.
[2025-01-09 09:55:39,739] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:39,749] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:39,751] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:39,753] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:39,756] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:39,763] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:39,764] [INFO] [comm.py:637:init_distributed] cdb=None
> initializing torch distributed ...
[2025-01-09 09:55:42,670] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:55:42,670] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
For s3 checkpointing, please install boto3 either using requirements/requirements-s3.txt or https://github.com/boto/boto3
For s3 checkpointing, please install hf_transfer either using requirements/requirements-s3.txt or https://github.com/huggingface/hf_transfer
[2025-01-09 09:56:03,323] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:03,325] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:03,327] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:03,330] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:03,333] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:03,335] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:03,337] [INFO] [comm.py:637:init_distributed] cdb=None
[2025-01-09 09:56:06,760] [INFO] [comm.py:637:init_distributed] cdb=None
> initializing model parallel with size 2
MPU DP: [0, 2, 4, 6, 8, 10, 12, 14]
MPU DP: [1, 3, 5, 7, 9, 11, 13, 15]
MPU PP: [0]
MPU PP: [1]
MPU PP: [2]
MPU PP: [3]
MPU PP: [4]
MPU PP: [5]
MPU PP: [6]
MPU PP: [7]
MPU PP: [8]
MPU PP: [9]
MPU PP: [10]
MPU PP: [11]
MPU PP: [12]
MPU PP: [13]
MPU PP: [14]
MPU PP: [15]
MPU MP: [0, 1]
MPU MP: [2, 3]
MPU MP: [4, 5]
MPU MP: [6, 7]
MPU MP: [8, 9]
MPU MP: [10, 11]
MPU MP: [12, 13]
MPU MP: [14, 15]
> setting random seeds to 1234 ...
[2025-01-09 09:56:06,815] [INFO] [checkpointing.py:227:model_parallel_cuda_manual_seed] > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234
make: Entering directory '/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/megatron/data'
make: Entering directory '/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/megatron/data'
make: Nothing to be done for 'default'.
make: Leaving directory '/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/megatron/data'
make: Nothing to be done for 'default'.
make: Leaving directory '/NS/llm-pretraining/work/afkhan/USC_Colab/gpt-neox/megatron/data'
> building train, validation, and test datasets ...
reading sizes...
reading pointers...
reading document index...
creating numpy buffer of mmap...
creating memory view of numpy buffer...
> dataset split:
train:
document indices in [0, 1) total of 1 documents
validation:
document indices in [1, 1) total of 0 documents
test:
document indices in [1, 1) total of 0 documents
> loading doc-idx mapping from data/enwik8/enwik8_text_document_train_indexmap_2560000ns_2048sl_1234s_packedpi_ac_doc_idx.npy
> loading sample-idx mapping from data/enwik8/enwik8_text_document_train_indexmap_2560000ns_2048sl_1234s_packedpi_ac_sample_idx.npy
> loading shuffle-idx mapping from data/enwik8/enwik8_text_document_train_indexmap_2560000ns_2048sl_1234s_packedpi_ac_shuffle_idx.npy
loaded indexed file in 0.040 seconds
total number of samples: 2571718
total number of epochs: 190
building GPT2 model ...
SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None
Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=0, model=1): 1, ProcessCoord(pipe=0, data=1, model=0): 2, ProcessCoord(pipe=0, data=1, model=1): 3, ProcessCoord(pipe=0, data=2, model=0): 4, ProcessCoord(pipe=0, data=2, model=1): 5, ProcessCoord(pipe=0, data=3, model=0): 6, ProcessCoord(pipe=0, data=3, model=1): 7, ProcessCoord(pipe=0, data=4, model=0): 8, ProcessCoord(pipe=0, data=4, model=1): 9, ProcessCoord(pipe=0, data=5, model=0): 10, ProcessCoord(pipe=0, data=5, model=1): 11, ProcessCoord(pipe=0, data=6, model=0): 12, ProcessCoord(pipe=0, data=6, model=1): 13, ProcessCoord(pipe=0, data=7, model=0): 14, ProcessCoord(pipe=0, data=7, model=1): 15}
[2025-01-09 09:56:11,770] [INFO] [module.py:375:_partition_layers] Partitioning pipeline stages with method type:transformer|mlp
stage=0 layers=37
0: EmbeddingPipe
1: _pre_transformer_block
2: ParallelTransformerLayerPipe
3: ParallelTransformerLayerPipe
4: ParallelTransformerLayerPipe
5: ParallelTransformerLayerPipe
6: ParallelTransformerLayerPipe
7: ParallelTransformerLayerPipe
8: ParallelTransformerLayerPipe
9: ParallelTransformerLayerPipe
10: ParallelTransformerLayerPipe
11: ParallelTransformerLayerPipe
12: ParallelTransformerLayerPipe
13: ParallelTransformerLayerPipe
14: ParallelTransformerLayerPipe
15: ParallelTransformerLayerPipe
16: ParallelTransformerLayerPipe
17: ParallelTransformerLayerPipe
18: ParallelTransformerLayerPipe
19: ParallelTransformerLayerPipe
20: ParallelTransformerLayerPipe
21: ParallelTransformerLayerPipe
22: ParallelTransformerLayerPipe
23: ParallelTransformerLayerPipe
24: ParallelTransformerLayerPipe
25: ParallelTransformerLayerPipe
26: ParallelTransformerLayerPipe
27: ParallelTransformerLayerPipe
28: ParallelTransformerLayerPipe
29: ParallelTransformerLayerPipe
30: ParallelTransformerLayerPipe
31: ParallelTransformerLayerPipe
32: ParallelTransformerLayerPipe
33: ParallelTransformerLayerPipe
34: _post_transformer_block
35: NormPipe
36: ParallelLinearPipe
loss: partial
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
Configuring Optimizer type: Adam with params: {'lr': 0.00012, 'betas': [0.9, 0.95], 'eps': 1e-08}
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
WARNING: APEX not installed - defaulting to deepspeed's fused adam
ninja: no work to do.
Time to load fused_adam op: 8.791501998901367 seconds
Time to load fused_adam op: 8.851798295974731 seconds
Time to load fused_adam op: 8.852033138275146 seconds
Time to load fused_adam op: 8.852229118347168 seconds
Time to load fused_adam op: 8.852245807647705 seconds
Time to load fused_adam op: 8.854000091552734 seconds
Time to load fused_adam op: 8.856988668441772 seconds
> learning rate decay style: cosine
DeepSpeed is enabled.
[2025-01-09 09:56:43,823] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed info: version=0.12.4+02e2ebf, git-hash=02e2ebf, git-branch=HEAD
Time to load fused_adam op: 8.856734991073608 seconds
Time to load fused_adam op: 12.064608335494995 seconds
Time to load fused_adam op: 12.064414978027344 seconds
Time to load fused_adam op: 12.064436197280884 seconds
Time to load fused_adam op: 12.064515352249146 seconds
Time to load fused_adam op: 12.06449031829834 seconds
Time to load fused_adam op: 12.064795732498169 seconds
Time to load fused_adam op: 12.064433574676514 seconds
Time to load fused_adam op: 12.06458568572998 seconds
[2025-01-09 09:56:48,754] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
[2025-01-09 09:56:48,756] [INFO] [logging.py:96:log_dist] [Rank 0] Using client Optimizer as basic optimizer
[2025-01-09 09:56:48,756] [INFO] [logging.py:96:log_dist] [Rank 0] Removing param_group that has no 'params' in the basic Optimizer
[2025-01-09 09:56:48,775] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam
[2025-01-09 09:56:48,775] [INFO] [utils.py:56:is_zero_supported_optimizer] Checking ZeRO support for optimizer=FusedAdam type=<class 'deepspeed.ops.adam.fused_adam.FusedAdam'>
[2025-01-09 09:56:48,775] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.float16 ZeRO stage 1 optimizer
[2025-01-09 09:56:48,775] [INFO] [stage_1_and_2.py:149:__init__] Reduce bucket size 500000000
[2025-01-09 09:56:48,775] [INFO] [stage_1_and_2.py:150:__init__] Allgather bucket size 500000000
[2025-01-09 09:56:48,775] [INFO] [stage_1_and_2.py:151:__init__] CPU Offload: False
[2025-01-09 09:56:48,775] [INFO] [stage_1_and_2.py:152:__init__] Round robin gradient partitioning: False
[2025-01-09 09:57:16,933] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:17,043] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:17,477] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:17,565] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:17,790] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,293] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,345] [INFO] [utils.py:802:see_memory_usage] Before initializing optimizer states
[2025-01-09 09:57:20,346] [INFO] [utils.py:803:see_memory_usage] MA 7.98 GB Max_MA 7.98 GB CA 8.01 GB Max_CA 8 GB
[2025-01-09 09:57:20,347] [INFO] [utils.py:810:see_memory_usage] CPU Virtual Memory: used = 18.98 GB, percent = 0.9%
[2025-01-09 09:57:20,414] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,460] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,487] [INFO] [utils.py:802:see_memory_usage] After initializing optimizer states
[2025-01-09 09:57:20,488] [INFO] [utils.py:803:see_memory_usage] MA 11.18 GB Max_MA 12.77 GB CA 12.8 GB Max_CA 13 GB
[2025-01-09 09:57:20,488] [INFO] [utils.py:810:see_memory_usage] CPU Virtual Memory: used = 18.98 GB, percent = 0.9%
[2025-01-09 09:57:20,488] [INFO] [stage_1_and_2.py:517:__init__] optimizer state initialized
[2025-01-09 09:57:20,499] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,604] [INFO] [utils.py:802:see_memory_usage] After initializing ZeRO optimizer
[2025-01-09 09:57:20,605] [INFO] [utils.py:803:see_memory_usage] MA 11.18 GB Max_MA 11.18 GB CA 12.8 GB Max_CA 13 GB
[2025-01-09 09:57:20,605] [INFO] [utils.py:810:see_memory_usage] CPU Virtual Memory: used = 18.98 GB, percent = 0.9%
[2025-01-09 09:57:20,609] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam
[2025-01-09 09:57:20,609] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using client LR scheduler
[2025-01-09 09:57:20,609] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = <megatron.learning_rates.AnnealingLR object at 0x7fdef4f9a310>
[2025-01-09 09:57:20,610] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0], mom=[[0.9, 0.95], [0.9, 0.95]]
[2025-01-09 09:57:20,610] [INFO] [config.py:979:print] DeepSpeedEngine configuration:
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] activation_checkpointing_config {
"partition_activations": false,
"contiguous_memory_optimization": false,
"cpu_checkpointing": false,
"number_checkpoints": null,
"synchronize_checkpoint_boundary": false,
"profile": false
}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] amp_enabled .................. False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] amp_params ................... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] autotuning_config ............ {
"enabled": false,
"start_step": null,
"end_step": null,
"metric_path": null,
"arg_mappings": null,
"metric": "throughput",
"model_info": null,
"results_dir": "autotuning_results",
"exps_dir": "autotuning_exps",
"overwrite": true,
"fast": true,
"start_profile_step": 3,
"end_profile_step": 5,
"tuner_type": "gridsearch",
"tuner_early_stopping": 5,
"tuner_num_trials": 50,
"model_info_path": null,
"mp_size": 1,
"max_train_batch_size": null,
"min_train_batch_size": 1,
"max_train_micro_batch_size_per_gpu": 1.024000e+03,
"min_train_micro_batch_size_per_gpu": 1,
"num_tuning_micro_batch_sizes": 3
}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] bfloat16_enabled ............. False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] checkpoint_parallel_write_pipeline False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] checkpoint_tag_validation_enabled True
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] checkpoint_tag_validation_fail False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7fde900e6a10>
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] communication_data_type ...... None
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] curriculum_enabled_legacy .... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] curriculum_params_legacy ..... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] data_efficiency_config ....... {'enabled': False, 'seed': 1234, 'data_sampling': {'enabled': False, 'num_epochs': 1000, 'num_workers': 0, 'curriculum_learning': {'enabled': False}}, 'data_routing': {'enabled': False, 'random_ltd': {'enabled': False, 'layer_token_lr_schedule': {'enabled': False}}}}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] data_efficiency_enabled ...... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] dataloader_drop_last ......... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] disable_allgather ............ False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] dump_state ................... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] dynamic_loss_scale_args ...... {'init_scale': 65536, 'scale_window': 1000, 'delayed_shift': 2, 'consecutive_hysteresis': False, 'min_scale': 1}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_enabled ........... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_gas_boundary_resolution 1
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_layer_name ........ bert.encoder.layer
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_layer_num ......... 0
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_max_iter .......... 100
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_stability ......... 1e-06
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_tol ............... 0.01
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] eigenvalue_verbose ........... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] elasticity_enabled ........... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] flops_profiler_config ........ {
"enabled": false,
"recompute_fwd_factor": 0.0,
"profile_step": 1,
"module_depth": -1,
"top_modules": 1,
"detailed": true,
"output_file": null
}
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] fp16_auto_cast ............... False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] fp16_enabled ................. True
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] fp16_master_weights_and_gradients False
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] global_rank .................. 0
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] grad_accum_dtype ............. None
[2025-01-09 09:57:20,611] [INFO] [config.py:983:print] gradient_accumulation_steps .. 1
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] gradient_clipping ............ 0.0
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] gradient_predivide_factor .... 1.0
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] hybrid_engine ................ enabled=False max_out_tokens=512 inference_tp_size=1 release_inference_cache=False pin_parameters=True tp_gather_partition_size=8
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] initial_dynamic_scale ........ 65536
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] load_universal_checkpoint .... False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] loss_scale ................... 0
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] memory_breakdown ............. False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] mics_hierarchial_params_gather False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] mics_shard_size .............. -1
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') enabled=False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] nebula_config ................ {
"enabled": false,
"persistent_storage_path": null,
"persistent_time_interval": 100,
"num_of_version_in_retention": 2,
"enable_nebula_load": true,
"load_path": null
}
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] optimizer_legacy_fusion ...... False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] optimizer_name ............... adam
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] optimizer_params ............. {'lr': 0.00012, 'betas': [0.9, 0.95], 'eps': 1e-08}
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0, 'pipe_partitioned': True, 'grad_partitioned': True}
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] pld_enabled .................. False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] pld_params ................... False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] prescale_gradients ........... False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] scheduler_name ............... None
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] scheduler_params ............. None
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] seq_parallel_communication_data_type torch.float32
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] sparse_attention ............. None
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] sparse_gradients_enabled ..... False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] steps_per_print .............. 10
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] train_batch_size ............. 8
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] train_micro_batch_size_per_gpu 1
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] use_data_before_expert_parallel_ False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] use_node_local_storage ....... False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] wall_clock_breakdown ......... True
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] weight_quantization_config ... None
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] world_size ................... 8
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] zero_allow_untested_optimizer False
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] zero_config .................. stage=1 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 use_multi_rank_bucket_allreduce=True allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1,000,000,000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50,000,000 param_persistence_threshold=100,000 model_persistence_threshold=sys.maxsize max_live_parameters=1,000,000,000 max_reuse_distance=1,000,000,000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False zero_hpz_partition_size=1 zero_quantized_weights=False zero_quantized_nontrainable_weights=False zero_quantized_gradients=False mics_shard_size=-1 mics_hierarchical_params_gather=False memory_efficient_linear=True pipeline_loading_checkpoint=False override_module_apply=True
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] zero_enabled ................. True
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] zero_force_ds_cpu_optimizer .. True
[2025-01-09 09:57:20,612] [INFO] [config.py:983:print] zero_optimization_stage ...... 1
[2025-01-09 09:57:20,612] [INFO] [config.py:969:print_user_config] json = {
"train_batch_size": 8,
"train_micro_batch_size_per_gpu": 1,
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.00012,
"betas": [0.9, 0.95],
"eps": 1e-08
}
},
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},
"zero_optimization": {
"stage": 1,
"allgather_partitions": true,
"allgather_bucket_size": 5.000000e+08,
"overlap_comm": true,
"reduce_scatter": true,
"reduce_bucket_size": 5.000000e+08,
"contiguous_gradients": true
},
"wall_clock_breakdown": true
}
[2025-01-09 09:57:20,612] [INFO] [engine.py:99:__init__] CONFIG: micro_batches=1 micro_batch_size=1
[2025-01-09 09:57:20,613] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,610] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,617] [INFO] [engine.py:139:__init__] is_pipe_partitioned= True is_grad_partitioned= True
[2025-01-09 09:57:20,781] [INFO] [engine.py:158:__init__] RANK=0 STAGE=0 LAYERS=37 [0, 37) STAGE_PARAMS=3429048320 (3429.048M) TOTAL_PARAMS=6858096640 (6858.097M) UNIQUE_PARAMS=6858096640 (6858.097M)
[2025-01-09 09:57:20,782] [INFO] [engine.py:158:__init__] RANK=1 STAGE=0 LAYERS=37 [0, 37) STAGE_PARAMS=3429048320 (3429.048M) TOTAL_PARAMS=6858096640 (6858.097M) UNIQUE_PARAMS=6858096640 (6858.097M)
> number of parameters on model parallel rank 0: 3429048320
> number of parameters on model parallel rank 1: 3429048320
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment