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/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:35:41,775] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
[2024-04-17 13:36:22,312] [INFO] [runner.py:585:main] cmd = /usr/bin/python3 -u -m deepspeed.launcher.launch --world_info=eyIxMDAuODMuMTM0LjE1OCI6IFswLCAxLCAyLCAzLCA0LCA1LCA2LCA3XX0= --master_addr=100.83.134.158 --master_port=29500 --no_python --no_local_rank --enable_each_rank_log=None /usr/bin/bash -c cd /Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed && python3 -u ./pretrain_llama.py --deepspeed --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --position-embedding-type rotary --no-bias --layernorm-type rmsnorm --activation-func-type swiglu --layernorm-epsilon 1e-6 --num-layers 16 --hidden-size 5120 --ffn-hidden-size 13824 --num-attention-heads 40 --seq-length 2048 --micro-batch-size 1 --global-batch-size 256 --train-iters 10000 --log-interval 10 --eval-iters 10 --eval-interval 100 --data-path /data/arxiv//tokenized_text_document --vocab-file /data/arxiv//gpt2-vocab.json --merge-file /data/arxiv//gpt2-merges.txt --optimizer adamw --adam-beta1 0.9 --adam-beta2 0.95 --adam-eps 1e-6 --lr 3e-4 --lr-decay-style cosine --lr-warmup-iters 2000 --clip-grad 1.0 --weight-decay 0.1 --attention-dropout 0.1 --hidden-dropout 0.1 --tensorboard-dir /data/output/llama13b_x//tensorboard --log-validation-ppl-to-tensorboard --log-batch-size-to-tensorboard --log-timers-to-tensorboard --load /data/output/llama13b_x//checkpoints_zero_stage_2 --deepspeed_config=/data/output/llama13b_x//ds_config.json --zero-stage=0 --exit-interval 0 --no-masked-softmax-fusion --no-bias-gelu-fusion --no-bias-dropout-fusion --use-torch-compile false --use-fused-sdpa true --use-fused-sdpa-with-recompute false --bf16 --use_hpu --distributed-backend=hccl --hpu-deterministic --sequence-parallel --save /data/output/llama13b_x//checkpoints_zero_stage_2 --hf-save /data/output/llama13b_x//hf_ckpt --save-interval 100 --verify-checkpoint --verify-checkpoint-model-type LLAMA
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:23,803] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
[2024-04-17 13:36:24,923] [INFO] [launch.py:146:main] WORLD INFO DICT: {'100.83.134.158': [0, 1, 2, 3, 4, 5, 6, 7]}
[2024-04-17 13:36:24,923] [INFO] [launch.py:152:main] nnodes=1, num_local_procs=8, node_rank=0
[2024-04-17 13:36:24,923] [INFO] [launch.py:163:main] global_rank_mapping=defaultdict(<class 'list'>, {'100.83.134.158': [0, 1, 2, 3, 4, 5, 6, 7]})
[2024-04-17 13:36:24,923] [INFO] [launch.py:164:main] dist_world_size=8
[2024-04-17 13:36:24,923] [INFO] [launch.py:166:main] Setting CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,736] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,736] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,798] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,801] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,864] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,902] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,912] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
[2024-04-17 13:36:26,977] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
using world size: 8, data-parallel-size: 8, tensor-model-parallel size: 1, pipeline-model-parallel size: 1
accumulate and all-reduce gradients in fp32 for bfloat16 data type.
using torch.bfloat16 for parameters ...
------------------------ arguments ------------------------
accumulate_allreduce_grads_in_fp32 .............. True
activation_func_type ............................ swiglu
adam_beta1 ...................................... 0.9
adam_beta2 ...................................... 0.95
adam_eps ........................................ 1e-06
adlr_autoresume ................................. False
adlr_autoresume_interval ........................ 1000
aml_data_download_path .......................... None
apply_layernorm_weight_plus_one ................. False
apply_query_key_layer_scaling ................... True
apply_residual_connection_post_layernorm ........ False
attention_dropout ............................... 0.1
attention_softmax_in_fp32 ....................... False
bert_binary_head ................................ True
bert_load ....................................... None
bf16 ............................................ True
bias_dropout_fusion ............................. False
bias_gelu_fusion ................................ False
biencoder_projection_dim ........................ 0
biencoder_shared_query_context_model ............ False
block_data_path ................................. None
cache_fp8_weight ................................ False
cache_fp8_weight_fwd ............................ True
checkpoint_activations .......................... False
checkpoint_activations_granularity .............. full
checkpoint_in_cpu ............................... False
checkpoint_num_layers ........................... 1
clearml_config_path ............................. None
clearml_continue_exp ............................ False
clearml_exp_name ................................ None
clip_grad ....................................... 1.0
compression_training ............................ False
consumed_train_samples .......................... 0
consumed_train_tokens ........................... 0
consumed_valid_samples .......................... 0
contigious_checkpointing ........................ False
cpu_optimizer ................................... False
cpu_torch_adam .................................. False
create_moe_param_group .......................... False
curriculum_learning ............................. False
data_idx_path ................................... None
data_impl ....................................... infer
data_parallel_size .............................. 8
data_path ....................................... ['/data/arxiv//tokenized_text_document']
data_sharding ................................... True
dataloader_type ................................. single
DDP_impl ........................................ local
decoder_seq_length .............................. None
deepscale ....................................... False
deepscale_config ................................ None
deepspeed ....................................... True
deepspeed_activation_checkpointing .............. False
deepspeed_config ................................ /data/output/llama13b_x//ds_config.json
deepspeed_mpi ................................... False
distribute_checkpointed_activations ............. False
distributed_backend ............................. hccl
do_layernorm_bias_weight_decay .................. False
do_pretrain_validation .......................... False
ds_inference .................................... False
ds_pipeline_enabled ............................. True
embed_layernorm ................................. False
embedding_path .................................. None
enable_expert_tensor_parallelism ................ False
encoder_seq_length .............................. 2048
eod_mask_loss ................................... False
eval_interval ................................... 100
eval_iters ...................................... 10
eval_loss_exit_value ............................ None
eval_micro_batch_size ........................... 1
evidence_data_path .............................. None
exit_duration_in_mins ........................... None
exit_interval ................................... 0
expert_interval ................................. 2
ffn_hidden_coeff ................................ 2.6666666666666665
ffn_hidden_size ................................. 13824
finetune ........................................ False
fix_position_emb_redundant_alloc ................ False
flatten_linear_operands ......................... False
fp16 ............................................ False
fp16_lm_cross_entropy ........................... False
fp32_residual_connection ........................ False
global_batch_size ............................... 256
hf_save ......................................... /data/output/llama13b_x//hf_ckpt
hidden_dropout .................................. 0.1
hidden_size ..................................... 5120
hidden_size_teacher ............................. None
hpu_deterministic ............................... True
hpu_fp8_format .................................. e5m2
hpu_fp8_measure_interval ........................ 10
hysteresis ...................................... 2
ict_head_size ................................... None
ict_load ........................................ None
img_dim ......................................... 224
indexer_batch_size .............................. 128
indexer_log_interval ............................ 1000
inference ....................................... False
init_method_std ................................. 0.02
init_method_xavier_uniform ...................... False
initial_loss_scale .............................. 4294967296
kd .............................................. False
kd_alpha_ce ..................................... 1
kd_beta_ce ...................................... 1
kd_temp ......................................... 1.0
kill_switch_path ................................ None
kv_channels ..................................... 128
layernorm_epsilon ............................... 1e-06
layernorm_type .................................. rmsnorm
lazy_mpu_init ................................... None
load ............................................ /data/output/llama13b_x//checkpoints_zero_stage_2
load_teacher .................................... None
local_rank ...................................... 0
log_batch_size_to_tensorboard ................... True
log_bwd_grads ................................... False
log_fwd_activations ............................. False
log_interval .................................... 10
log_learning_rate_to_tensorboard ................ True
log_loss_scale_to_tensorboard ................... True
log_model_inputs ................................ False
log_num_zeros_in_grad ........................... False
log_optimizer_states_to_tensorboard ............. False
log_params_norm ................................. False
log_timers_to_tensorboard ....................... True
log_validation_ppl_to_tensorboard ............... True
loss_scale ...................................... None
loss_scale_window ............................... 1000
lr .............................................. 0.0003
lr_decay_iters .................................. None
lr_decay_samples ................................ None
lr_decay_style .................................. cosine
lr_decay_tokens ................................. None
lr_warmup_fraction .............................. None
lr_warmup_iters ................................. 2000
lr_warmup_samples ............................... 0
lr_warmup_tokens ................................ None
make_vocab_size_divisible_by .................... 128
mask_prob ....................................... 0.15
mask_tensor_adding .............................. False
masked_softmax_fusion ........................... False
max_position_embeddings ......................... None
memory_centric_tiled_linear ..................... False
merge_file ...................................... /data/arxiv//gpt2-merges.txt
micro_batch_size ................................ 1
min_loss_scale .................................. 1.0
min_lr .......................................... 0.0
mlp_type ........................................ standard
mmap_warmup ..................................... False
moe_eval_capacity_factor ........................ 1.0
moe_expert_parallel_size ........................ 1
moe_loss_coeff .................................. 0.1
moe_min_capacity ................................ 4
moe_token_dropping .............................. True
moe_train_capacity_factor ....................... 1.0
mos ............................................. False
no_bias ......................................... True
no_cuda ......................................... False
no_load_lr_state ................................ False
no_load_optim ................................... None
no_load_rng ..................................... None
no_pipeline_parallel ............................ False
no_save_optim ................................... None
no_save_rng ..................................... None
no_scaled_init .................................. False
num_attention_heads ............................. 40
num_attention_heads_teacher ..................... None
num_channels .................................... 3
num_classes ..................................... 1000
num_experts ..................................... [1]
num_experts_teacher ............................. [1]
num_key_value_heads ............................. 40
num_layers ...................................... 16
num_layers_per_virtual_pipeline_stage ........... None
num_layers_teacher .............................. None
num_workers ..................................... 2
onnx_safe ....................................... None
openai_gelu ..................................... False
optimizer ....................................... adamw
override_lr_scheduler ........................... False
params_dtype .................................... torch.bfloat16
partition_activations ........................... False
patch_dim ....................................... 16
pipeline_model_parallel_size .................... 1
position_embedding_type ......................... PositionEmbeddingType.rotary
profile ......................................... None
profile_backward ................................ False
profile_steps ................................... 2,3
query_in_block_prob ............................. 0.1
rampup_batch_size ............................... None
rank ............................................ 0
remote_device ................................... none
reset_attention_mask ............................ False
reset_iteration ................................. False
reset_position_ids .............................. False
retriever_report_topk_accuracies ................ []
retriever_score_scaling ......................... False
retriever_seq_length ............................ 256
sample_rate ..................................... 1.0
save ............................................ /data/output/llama13b_x//checkpoints_zero_stage_2
save_interval ................................... 100
scatter_gather_tensors_in_pipeline .............. True
scattered_embeddings ............................ False
seed ............................................ 1234
seq_length ...................................... 2048
sequence_parallel ............................... False
sgd_momentum .................................... 0.9
short_seq_prob .................................. 0.1
skip_train ...................................... False
split ........................................... 969, 30, 1
split_transformers .............................. False
synchronize_each_layer .......................... False
tensor_logger_max_iter .......................... 0
tensor_logger_path .............................. None
tensor_model_parallel_size ...................... 1
tensorboard_dir ................................. /data/output/llama13b_x//tensorboard
tensorboard_log_interval ........................ 1
tensorboard_queue_size .......................... 1000
test_data_path .................................. None
tile_factor ..................................... 1
titles_data_path ................................ None
tokenizer_eod_id ................................ None
tokenizer_model_file ............................ None
tokenizer_type .................................. GPT2BPETokenizer
topk ............................................ 1
train_data_path ................................. None
train_iters ..................................... 10000
train_samples ................................... None
train_tokens .................................... None
universal_checkpoint ............................ False
use_checkpoint_lr_scheduler ..................... False
use_contiguous_buffers_in_ddp ................... True
use_cpu_initialization .......................... None
use_fused_sdpa .................................. True
use_fused_sdpa_with_recompute ................... False
use_hpu ......................................... True
use_hpu_fp8_transformer_engine .................. False
use_hpu_graphs .................................. False
use_one_sent_docs ............................... False
use_pin_memory .................................. False
use_rotary_v2 ................................... False
use_seq_len_plus_one_tokens ..................... True
use_torch_compile ............................... False
use_tutel ....................................... False
valid_data_path ................................. None
verify_checkpoint ............................... True
verify_checkpoint_model_type .................... LLAMA
verify_tp_workers ............................... False
verify_tp_workers_hash .......................... False
virtual_pipeline_model_parallel_size ............ None
vocab_extra_ids ................................. 0
vocab_file ...................................... /data/arxiv//gpt2-vocab.json
weight_decay .................................... 0.1
world_size ...................................... 8
zero_allgather_bucket_size ...................... 0.0
zero_contigious_gradients ....................... False
zero_reduce_bucket_size ......................... 0.0
zero_reduce_scatter ............................. False
zero_stage ...................................... 0
-------------------- end of arguments ---------------------
setting number of micro-batches to constant 32
setting number of micro-batches to constant 32
> building GPT2BPETokenizer tokenizer ...
_initialize_distributed: Initializing with below params:
args.local_rank: 2
args.world_size: 8
args.rank: 2
args.distributed_backend: hccl
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
_initialize_distributed: Initializing with below params:
args.local_rank: 4
args.world_size: 8
args.rank: 4
args.distributed_backend: hccl
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
> padded vocab (size: 50257) with 47 dummy tokens (new size: 50304)
_initialize_distributed: Initializing with below params:
args.local_rank: 0
args.world_size: 8
args.rank: 0
args.distributed_backend: hccl
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
[2024-04-17 13:36:29,411] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,411] [INFO] [comm.py:637:init_distributed] cdb=None
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
[2024-04-17 13:36:29,416] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,416] [INFO] [comm.py:637:init_distributed] cdb=None
_initialize_distributed: Initializing with below params:
args.local_rank: 1
args.world_size: 8
args.rank: 1
args.distributed_backend: hccl
_initialize_distributed: Initializing with below params:
args.local_rank: 6
args.world_size: 8
args.rank: 6
args.distributed_backend: hccl
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
runtime if needed. Op compatibility means that your system
meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
deepspeed_not_implemented [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/usr/local/lib/python3.10/dist-packages/torch']
torch version .................... 2.1.1a0+gitb51c9f6
deepspeed install path ........... ['/usr/local/lib/python3.10/dist-packages/deepspeed']
deepspeed info ................... 0.12.4+hpu.synapse.v1.14.0, fad45b2, 1.14.0
deepspeed wheel compiled w. ...... torch 2.1
shared memory (/dev/shm) size .... 503.72 GB
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
> initializing torch distributed ...
[2024-04-17 13:36:29,471] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,471] [INFO] [comm.py:637:init_distributed] cdb=None
[2024-04-17 13:36:29,471] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend hccl
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
fatal: detected dubious ownership in repository at '/Model-References'
To add an exception for this directory, call:
git config --global --add safe.directory /Model-References
[2024-04-17 13:36:29,495] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,496] [INFO] [comm.py:637:init_distributed] cdb=None
**** Git info for Megatron: git_hash=unknown git_branch=unknown ****
> setting tensorboard ...
_initialize_distributed: Initializing with below params:
args.local_rank: 7
args.world_size: 8
args.rank: 7
args.distributed_backend: hccl
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
[2024-04-17 13:36:29,532] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,532] [INFO] [comm.py:637:init_distributed] cdb=None
_initialize_distributed: Initializing with below params:
args.local_rank: 3
args.world_size: 8
args.rank: 3
args.distributed_backend: hccl
_initialize_distributed: Initializing with below params:
args.local_rank: 5
args.world_size: 8
args.rank: 5
args.distributed_backend: hccl
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
[2024-04-17 13:36:29,568] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,568] [INFO] [comm.py:637:init_distributed] cdb=None
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
[2024-04-17 13:36:29,609] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,610] [INFO] [comm.py:637:init_distributed] cdb=None
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
warnings.warn(
hccl device_count: 8
[2024-04-17 13:36:29,627] [WARNING] [comm.py:163:init_deepspeed_backend] HCCL backend in DeepSpeed not yet implemented
[2024-04-17 13:36:29,627] [INFO] [comm.py:637:init_distributed] cdb=None
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
Traceback (most recent call last):
store, rank, world_size = next(rendezvous_iterator)
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[E socket.cpp:922] [c10d] The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
Traceback (most recent call last):
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/./pretrain_llama.py", line 110, in <module>
pretrain(train_valid_test_datasets_provider, model_provider, forward_step, extra_args_provider=llama_argument_handler,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/training.py", line 162, in pretrain
initialize_megatron(extra_args_provider=extra_args_provider,
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 95, in initialize_megatron
finish_mpu_init()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 77, in finish_mpu_init
_initialize_distributed()
File "/Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/megatron/initialize.py", line 276, in _initialize_distributed
deepspeed.init_distributed(dist_backend=args.distributed_backend)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/comm.py", line 670, in init_distributed
cdb = TorchBackend(dist_backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 120, in __init__
self.init_process_group(backend, timeout, init_method, rank, world_size)
File "/usr/local/lib/python3.10/dist-packages/deepspeed/comm/torch.py", line 148, in init_process_group
torch.distributed.init_process_group(backend, timeout=timeout, init_method=init_method)
File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/torch_overwrites.py", line 259, in wrap_init_process_group
return init_process_group_orig(
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 74, in wrapper
func_return = func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1141, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 241, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/rendezvous.py", line 172, in _create_c10d_store
return TCPStore(
TimeoutError: The client socket has timed out after 1800s while trying to connect to (100.83.134.158, 29500).
[2024-04-17 14:06:29,834] [INFO] [launch.py:316:sigkill_handler] Killing subprocess 2748
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[2024-04-17 14:06:30,037] [ERROR] [launch.py:322:sigkill_handler] ['/usr/bin/bash', '-c', ' cd /Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed && python3 -u ./pretrain_llama.py --deepspeed --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --position-embedding-type rotary --no-bias --layernorm-type rmsnorm --activation-func-type swiglu --layernorm-epsilon 1e-6 --num-layers 16 --hidden-size 5120 --ffn-hidden-size 13824 --num-attention-heads 40 --seq-length 2048 --micro-batch-size 1 --global-batch-size 256 --train-iters 10000 --log-interval 10 --eval-iters 10 --eval-interval 100 --data-path /data/arxiv//tokenized_text_document --vocab-file /data/arxiv//gpt2-vocab.json --merge-file /data/arxiv//gpt2-merges.txt --optimizer adamw --adam-beta1 0.9 --adam-beta2 0.95 --adam-eps 1e-6 --lr 3e-4 --lr-decay-style cosine --lr-warmup-iters 2000 --clip-grad 1.0 --weight-decay 0.1 --attention-dropout 0.1 --hidden-dropout 0.1 --tensorboard-dir /data/output/llama13b_x//tensorboard --log-validation-ppl-to-tensorboard --log-batch-size-to-tensorboard --log-timers-to-tensorboard --load /data/output/llama13b_x//checkpoints_zero_stage_2 --deepspeed_config=/data/output/llama13b_x//ds_config.json --zero-stage=0 --exit-interval 0 --no-masked-softmax-fusion --no-bias-gelu-fusion --no-bias-dropout-fusion --use-torch-compile false --use-fused-sdpa true --use-fused-sdpa-with-recompute false --bf16 --use_hpu --distributed-backend=hccl --hpu-deterministic --sequence-parallel --save /data/output/llama13b_x//checkpoints_zero_stage_2 --hf-save /data/output/llama13b_x//hf_ckpt --save-interval 100 --verify-checkpoint --verify-checkpoint-model-type LLAMA'] exits with return code = 1