Skip to content

Instantly share code, notes, and snippets.

@denizyuret

denizyuret/ds4194.log

Created August 29, 2023 21:34
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save denizyuret/6217573d64ef0b5004415888d7bca981 to your computer and use it in GitHub Desktop.
Save denizyuret/6217573d64ef0b5004415888d7bca981 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
ds4194.log
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/bin/deepspeed:4: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
__import__('pkg_resources').require('deepspeed==0.10.2+c69bd1f7')
[2023-08-30 00:25:45,359] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:46,642] [WARNING] [runner.py:201:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
Detected CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7: setting --include=localhost:0,1,2,3,4,5,6,7
[2023-08-30 00:25:46,643] [INFO] [runner.py:567:main] cmd = /truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/bin/python3.11 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMCwgMSwgMiwgMywgNCwgNSwgNiwgN119 --master_addr=127.0.0.1 --master_port=29500 --enable_each_rank_log=None main.py --data_path Dahoas/rm-static Dahoas/full-hh-rlhf Dahoas/synthetic-instruct-gptj-pairwise yitingxie/rlhf-reward-datasets --data_split 2,4,4 --model_name_or_path meta-llama/Llama-2-7b-hf --per_device_train_batch_size 4 --per_device_eval_batch_size 4 --max_seq_len 512 --learning_rate 9.65e-6 --weight_decay 0. --num_train_epochs 4 --gradient_accumulation_steps 1 --lr_scheduler_type cosine --num_warmup_steps 0 --seed 1234 --gradient_checkpointing --zero_stage 3 --deepspeed --output_dir ./output_step1_llama2_7b
[2023-08-30 00:25:47,849] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:49,082] [INFO] [launch.py:145:main] WORLD INFO DICT: {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]}
[2023-08-30 00:25:49,083] [INFO] [launch.py:151:main] nnodes=1, num_local_procs=8, node_rank=0
[2023-08-30 00:25:49,083] [INFO] [launch.py:162:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]})
[2023-08-30 00:25:49,083] [INFO] [launch.py:163:main] dist_world_size=8
[2023-08-30 00:25:49,083] [INFO] [launch.py:165:main] Setting CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
[2023-08-30 00:25:51,144] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,273] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,293] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,305] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,311] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,316] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,337] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:51,338] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-08-30 00:25:55,754] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,755] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[2023-08-30 00:25:55,817] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,870] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,918] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,930] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,935] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,941] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-08-30 00:25:55,943] [INFO] [comm.py:637:init_distributed] cdb=None
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
Using pad_token, but it is not set yet.
[2023-08-30 00:26:03,311] [INFO] [partition_parameters.py:340:__exit__] finished initializing model - num_params = 291, num_elems = 6.74B
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.15it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.15it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.15it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.15it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.15it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.14it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.13it/s]
Loading checkpoint shards: 50%|█████ | 1/2 [00:01<00:01, 1.73s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.03s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.00s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.03s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.01s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.04s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.01s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.04s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.01s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.03s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.01s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.04s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.02s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.05s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.02s/it]
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.10s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00, 1.20s/it]
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embeding dimension will be 32008. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
[2023-08-30 00:26:05,918] [INFO] [partition_parameters.py:340:__exit__] finished initializing model - num_params = 292, num_elems = 6.87B
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
[2023-08-30 00:26:05,926] [INFO] [partition_parameters.py:340:__exit__] finished initializing model - num_params = 293, num_elems = 6.87B
/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/init.py:405: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /dev/shm/.cache/torch_extensions/py311_cu112/fused_adam/build.ninja...
Building extension module fused_adam...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
ninja: no work to do.
Loading extension module fused_adam...
Time to load fused_adam op: 0.08058977127075195 seconds
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /dev/shm/.cache/torch_extensions/py311_cu112/fused_adam/build.ninja...
Building extension module fused_adam...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
ninja: no work to do.
Loading extension module fused_adam...
Time to load fused_adam op: 0.08021855354309082 seconds
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /dev/shm/.cache/torch_extensions/py311_cu112/fused_adam/build.ninja...
Building extension module fused_adam...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Installed CUDA version 11.7 does not match the version torch was compiled with 11.2 but since the APIs are compatible, accepting this combination
Using /dev/shm/.cache/torch_extensions/py311_cu112 as PyTorch extensions root...
ninja: no work to do.
Loading extension module fused_adam...
Time to load fused_adam op: 0.0788273811340332 seconds
[2023-08-30 00:26:11,214] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed info: version=0.10.2+c69bd1f7, git-hash=c69bd1f7, git-branch=master
[2023-08-30 00:26:11,215] [INFO] [comm.py:662:init_distributed] Distributed backend already initialized
Loading extension module fused_adam...
Time to load fused_adam op: 0.10779261589050293 seconds
Loading extension module fused_adam...
Time to load fused_adam op: 0.3023865222930908 seconds
Loading extension module fused_adam...
Time to load fused_adam op: 0.10199952125549316 seconds
Loading extension module fused_adam...
Time to load fused_adam op: 0.10212111473083496 seconds
Loading extension module fused_adam...
Time to load fused_adam op: 0.30235838890075684 seconds
[2023-08-30 00:26:11,914] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
[2023-08-30 00:26:11,915] [INFO] [logging.py:96:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer
[2023-08-30 00:26:11,915] [INFO] [logging.py:96:log_dist] [Rank 0] Using client Optimizer as basic optimizer
[2023-08-30 00:26:11,924] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam
[2023-08-30 00:26:11,924] [INFO] [utils.py:54:is_zero_supported_optimizer] Checking ZeRO support for optimizer=FusedAdam type=<class 'deepspeed.ops.adam.fused_adam.FusedAdam'>
[2023-08-30 00:26:11,924] [INFO] [logging.py:96:log_dist] [Rank 0] Creating fp16 ZeRO stage 3 optimizer, MiCS is enabled False, Hierarchical params gather False
[2023-08-30 00:26:11,924] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.float16 ZeRO stage 3 optimizer
[2023-08-30 00:26:12,219] [INFO] [utils.py:803:see_memory_usage] Stage 3 initialize beginning
[2023-08-30 00:26:12,219] [INFO] [utils.py:804:see_memory_usage] MA 1.67 GB Max_MA 2.41 GB CA 3.45 GB Max_CA 3 GB
[2023-08-30 00:26:12,219] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.85 GB, percent = 7.9%
[2023-08-30 00:26:12,221] [INFO] [stage3.py:126:__init__] Reduce bucket size 500,000,000
[2023-08-30 00:26:12,221] [INFO] [stage3.py:127:__init__] Prefetch bucket size 30000000
[2023-08-30 00:26:12,514] [INFO] [utils.py:803:see_memory_usage] DeepSpeedZeRoOffload initialize [begin]
[2023-08-30 00:26:12,516] [INFO] [utils.py:804:see_memory_usage] MA 1.67 GB Max_MA 1.67 GB CA 3.45 GB Max_CA 3 GB
[2023-08-30 00:26:12,516] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.85 GB, percent = 7.9%
Parameter Offload: Total persistent parameters: 266240 in 66 params
[2023-08-30 00:26:12,825] [INFO] [utils.py:803:see_memory_usage] DeepSpeedZeRoOffload initialize [end]
[2023-08-30 00:26:12,826] [INFO] [utils.py:804:see_memory_usage] MA 1.67 GB Max_MA 1.67 GB CA 3.45 GB Max_CA 3 GB
[2023-08-30 00:26:12,826] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.85 GB, percent = 7.9%
[2023-08-30 00:26:13,124] [INFO] [utils.py:803:see_memory_usage] Before creating fp16 partitions
[2023-08-30 00:26:13,125] [INFO] [utils.py:804:see_memory_usage] MA 1.67 GB Max_MA 1.67 GB CA 3.45 GB Max_CA 3 GB
[2023-08-30 00:26:13,125] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.85 GB, percent = 7.9%
[2023-08-30 00:26:14,972] [INFO] [utils.py:803:see_memory_usage] After creating fp16 partitions: 1
[2023-08-30 00:26:14,989] [INFO] [utils.py:804:see_memory_usage] MA 1.66 GB Max_MA 1.67 GB CA 2.18 GB Max_CA 3 GB
[2023-08-30 00:26:14,989] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 89.24 GB, percent = 8.9%
[2023-08-30 00:26:15,304] [INFO] [utils.py:803:see_memory_usage] Before creating fp32 partitions
[2023-08-30 00:26:15,306] [INFO] [utils.py:804:see_memory_usage] MA 1.66 GB Max_MA 1.66 GB CA 2.18 GB Max_CA 2 GB
[2023-08-30 00:26:15,306] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 90.03 GB, percent = 8.9%
[2023-08-30 00:26:15,699] [INFO] [utils.py:803:see_memory_usage] After creating fp32 partitions
[2023-08-30 00:26:15,700] [INFO] [utils.py:804:see_memory_usage] MA 4.74 GB Max_MA 6.28 GB CA 6.79 GB Max_CA 7 GB
[2023-08-30 00:26:15,700] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 90.63 GB, percent = 9.0%
[2023-08-30 00:26:16,919] [INFO] [utils.py:803:see_memory_usage] Before initializing optimizer states
[2023-08-30 00:26:16,921] [INFO] [utils.py:804:see_memory_usage] MA 4.74 GB Max_MA 4.74 GB CA 6.79 GB Max_CA 7 GB
[2023-08-30 00:26:16,921] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.9 GB, percent = 7.9%
[2023-08-30 00:26:17,230] [INFO] [utils.py:803:see_memory_usage] After initializing optimizer states
[2023-08-30 00:26:17,230] [INFO] [utils.py:804:see_memory_usage] MA 10.89 GB Max_MA 13.97 GB CA 16.03 GB Max_CA 16 GB
[2023-08-30 00:26:17,231] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.9 GB, percent = 7.9%
[2023-08-30 00:26:17,231] [INFO] [stage3.py:445:_setup_for_real_optimizer] optimizer state initialized
[2023-08-30 00:26:18,135] [INFO] [utils.py:803:see_memory_usage] After initializing ZeRO optimizer
[2023-08-30 00:26:18,137] [INFO] [utils.py:804:see_memory_usage] MA 13.36 GB Max_MA 13.85 GB CA 16.45 GB Max_CA 16 GB
[2023-08-30 00:26:18,137] [INFO] [utils.py:811:see_memory_usage] CPU Virtual Memory: used = 79.9 GB, percent = 7.9%
[2023-08-30 00:26:18,137] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam
[2023-08-30 00:26:18,137] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using client LR scheduler
[2023-08-30 00:26:18,137] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = <torch.optim.lr_scheduler.LambdaLR object at 0x14b817def010>
[2023-08-30 00:26:18,138] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[9.65e-06], mom=[(0.9, 0.95)]
[2023-08-30 00:26:18,138] [INFO] [config.py:963:print] DeepSpeedEngine configuration:
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] activation_checkpointing_config {
"partition_activations": false,
"contiguous_memory_optimization": false,
"cpu_checkpointing": false,
"number_checkpoints": null,
"synchronize_checkpoint_boundary": false,
"profile": false
}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] amp_enabled .................. False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] amp_params ................... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967: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
}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] bfloat16_enabled ............. False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] checkpoint_parallel_write_pipeline False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] checkpoint_tag_validation_enabled True
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] checkpoint_tag_validation_fail False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x14b8306d7fd0>
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] communication_data_type ...... None
[2023-08-30 00:26:18,139] [INFO] [config.py:967: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}}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] curriculum_enabled_legacy .... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] curriculum_params_legacy ..... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967: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}}}}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] data_efficiency_enabled ...... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] dataloader_drop_last ......... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] disable_allgather ............ False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] dump_state ................... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] dynamic_loss_scale_args ...... {'init_scale': 65536, 'scale_window': 100, 'delayed_shift': 2, 'consecutive_hysteresis': False, 'min_scale': 1}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_enabled ........... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_gas_boundary_resolution 1
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_layer_name ........ bert.encoder.layer
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_layer_num ......... 0
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_max_iter .......... 100
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_stability ......... 1e-06
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_tol ............... 0.01
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] eigenvalue_verbose ........... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] elasticity_enabled ........... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967: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
}
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] fp16_auto_cast ............... False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] fp16_enabled ................. True
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] fp16_master_weights_and_gradients False
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] global_rank .................. 0
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] grad_accum_dtype ............. None
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] gradient_accumulation_steps .. 1
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] gradient_clipping ............ 1.0
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] gradient_predivide_factor .... 1.0
[2023-08-30 00:26:18,139] [INFO] [config.py:967: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
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] initial_dynamic_scale ........ 65536
[2023-08-30 00:26:18,139] [INFO] [config.py:967:print] load_universal_checkpoint .... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] loss_scale ................... 0
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] memory_breakdown ............. False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] mics_hierarchial_params_gather False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] mics_shard_size .............. -1
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='step1_tensorboard/ds_tensorboard_logs/', job_name='step1_model_tensorboard') wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') enabled=False
[2023-08-30 00:26:18,140] [INFO] [config.py:967: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
}
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] optimizer_legacy_fusion ...... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] optimizer_name ............... None
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] optimizer_params ............. None
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0}
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] pld_enabled .................. False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] pld_params ................... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] prescale_gradients ........... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] scheduler_name ............... None
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] scheduler_params ............. None
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] sparse_attention ............. None
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] sparse_gradients_enabled ..... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] steps_per_print .............. 10
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] train_batch_size ............. 32
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] train_micro_batch_size_per_gpu 4
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] use_node_local_storage ....... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] wall_clock_breakdown ......... False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] world_size ................... 8
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] zero_allow_untested_optimizer False
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] zero_config .................. stage=3 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500,000,000 allgather_partitions=True allgather_bucket_size=500,000,000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=DeepSpeedZeroOffloadParamConfig(device='none', nvme_path=None, buffer_count=5, buffer_size=100,000,000, max_in_cpu=1,000,000,000, pin_memory=False) offload_optimizer=DeepSpeedZeroOffloadOptimizerConfig(device='none', nvme_path=None, buffer_count=4, pin_memory=False, pipeline=False, pipeline_read=False, pipeline_write=False, fast_init=False) sub_group_size=1,000,000,000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=30000000 param_persistence_threshold=10000 model_persistence_threshold=sys.maxsize max_live_parameters=30000000 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=False pipeline_loading_checkpoint=False override_module_apply=True
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] zero_enabled ................. True
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] zero_force_ds_cpu_optimizer .. True
[2023-08-30 00:26:18,140] [INFO] [config.py:967:print] zero_optimization_stage ...... 3
[2023-08-30 00:26:18,140] [INFO] [config.py:953:print_user_config] json = {
"train_batch_size": 32,
"train_micro_batch_size_per_gpu": 4,
"steps_per_print": 10,
"zero_optimization": {
"stage": 3,
"offload_param": {
"device": "none"
},
"offload_optimizer": {
"device": "none"
},
"stage3_param_persistence_threshold": 1.000000e+04,
"stage3_max_live_parameters": 3.000000e+07,
"stage3_prefetch_bucket_size": 3.000000e+07,
"memory_efficient_linear": false
},
"fp16": {
"enabled": true,
"loss_scale_window": 100
},
"gradient_clipping": 1.0,
"prescale_gradients": false,
"wall_clock_breakdown": false,
"hybrid_engine": {
"enabled": false,
"max_out_tokens": 512,
"inference_tp_size": 1,
"release_inference_cache": false,
"pin_parameters": true,
"tp_gather_partition_size": 8
},
"tensorboard": {
"enabled": false,
"output_path": "step1_tensorboard/ds_tensorboard_logs/",
"job_name": "step1_model_tensorboard"
}
}
***** Running training *****
***** Evaluating perplexity, Epoch 0/4 *****
Traceback (most recent call last):
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
Traceback (most recent call last):
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 366, in <module>
main()
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
main()
main()
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
main()
main()
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
main()
main()
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
perplexity = evaluation(model, eval_dataloader)
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
perplexity = evaluation(model, eval_dataloader)
perplexity = evaluation(model, eval_dataloader)
perplexity = evaluation(model, eval_dataloader)
perplexity = evaluation(model, eval_dataloader)main() perplexity = evaluation(model, eval_dataloader)perplexity = evaluation(model, eval_dataloader)
outputs = model(**batch)
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 317, in main
perplexity = evaluation(model, eval_dataloader)
^ ^ ^ ^ ^^^ ^^^ ^^^ ^^^^ ^^^^^ ^ ^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^^^^
^^^^^^^^^^^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^
^
^^return forward_call(*args, **kwargs)^^^^^^
^^ File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
^^^^^^ ^^^ File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
^^^^ ^^ File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
^^ ^ File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
^ ^ ^ ^ ^ ^^^^^^^^
^ outputs = model(**batch)outputs = model(**batch)^ File "/truba/home/dyuret/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py", line 268, in evaluation
^outputs = model(**batch)^
^ ^ ^ ^ ^ outputs = model(**batch) ^
^ ^ outputs = model(**batch)outputs = model(**batch) ^
^ outputs = model(**batch) ^^
^ ^^ ^ ^ ^ ^ ^^^ ^ ^^^ ^ ^^^ ^ ^^^
^^^ ^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^ ^ ^^^ ^ ^^^ ^ ^^^^ ^^^^^^ ^^^^^^ret_val = func(*args, **kwargs)^^^^^^^
^^^^^
^^^^
^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^
^ ^^^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
^
^
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
^^^^^^^^^^^^^^^^^^^^
File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
return forward_call(*args, **kwargs)return forward_call(*args, **kwargs)return forward_call(*args, **kwargs)
^ ^ ^return forward_call(*args, **kwargs) ^
^ ^^ ^^ ^return forward_call(*args, **kwargs)^^return forward_call(*args, **kwargs) ^
^^
return forward_call(*args, **kwargs)^ ^^^
^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^ ^^^ ^ ^^^^ ^^^ ^^^ ^^^loss = self.module(*inputs, **kwargs)^^^^^^^
^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^^^^^^ ^^
^^^^ ^^^^^^^ ^
File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^^ ^
File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^ ^^^^^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^ ^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^ret_val = func(*args, **kwargs)
^^^^^ret_val = func(*args, **kwargs)^^^^^
^^^ ^^ret_val = func(*args, **kwargs)^^^ ^^
^^^ ^^^^^ ^
^^^ ^^
^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^^ret_val = func(*args, **kwargs)^ ^^^
^^^ ^^ ^^^^ret_val = func(*args, **kwargs) ^ret_val = func(*args, **kwargs)^^ ^
ret_val = func(*args, **kwargs)^
^^ ^
^^^ ^^^
^ ^^ ^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^ ^^ ^ ^^ ^ ^^ ^ ^^ ^ ^^ ^ ^^ ^ ^^ ^
^ ^ ^ ^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^^ ^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^^^ ^^^^^result = forward_call(*args, **kwargs)^^^
^
^^^^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^ ^^^^^^
^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^^
^^^^
File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/engine.py", line 1801, in forward
^^^^^^^^^^^^^^^^^^^^
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
loss = self.module(*inputs, **kwargs)
^^^^^ ^logits = self.lm_head(hidden_states)^
^^^^^^^^^^^^^^^^^ ^ ^ ^ ^ ^ ^
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^^^^^^^^^^^^^^^^^^^^^^ ^ loss = self.module(*inputs, **kwargs)^loss = self.module(*inputs, **kwargs)
^
^^
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
^ ^^^^^^^^^^^^^^ ^^loss = self.module(*inputs, **kwargs)^^^
^^loss = self.module(*inputs, **kwargs)loss = self.module(*inputs, **kwargs)loss = self.module(*inputs, **kwargs)^^
^^ ^^ ^^ ^^^^ ^ ^ ^result = forward_call(*args, **kwargs)^ ^
^ ^^^ result = hook(self, args) ^^
^^ ^^ ^^ ^ ^^ ^ ^^ ^ ^^^ ^ ^^^^^ ^ ^^
^^ ^ ^^
^ ^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^ ^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^ ^ ^^^ ^ ^^^ ^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^ ^^^^result = forward_call(*args, **kwargs)^^result = forward_call(*args, **kwargs)^^^^
^^
^^^^^^^^^^^^^^ ^^ ^^^^ ^^ ^^^^ ^^ ^^^
^^ ^^^^ ^^ ^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^^^ ^ ^^
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
ret_val = func(*args, **kwargs) ^
^^ ^^^^
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
^^ ^^ ^^ ^^ ^^ ^^ ^^ ^^ ^^ result = forward_call(*args, **kwargs)^^
^^ ^^ ^^ ^ ^^result = forward_call(*args, **kwargs)^ ^^
^ ^ ^^result = forward_call(*args, **kwargs) result = forward_call(*args, **kwargs)^logits = self.lm_head(hidden_states)^^
^
^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^ ^^^ ^
^^ ^ ^
^ ^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
^ ^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
^^ ^ ^^ ^ ^^^ ^^^^^^^^^^^^
^^^^^^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^^^^^^ ^^^^^logits = self.lm_head(hidden_states)^^^^^
^^^^^logits = self.lm_head(hidden_states)^^^^^^
^^ ^^^^^ ^ ^^^^ ^self.pre_sub_module_forward_function(module)^^^^ ^
^^^^ ^^^^^^ ^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^ ^^^^^ ^^^^^ ^^^^^ ^^^^^ ^^^^ ^^ ^^^return func(*args, **kwargs)^
^^^
^^^ ^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
^ ^^^^^ ^^^^^^ ^
^
^^ ^^
^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
^ ^
^ ^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 827, in forward
^^^ ^^logits = self.lm_head(hidden_states) ^^
^^^^^^^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^ ^^^^ logits = self.lm_head(hidden_states)^ ^ ^
^logits = self.lm_head(hidden_states)^logits = self.lm_head(hidden_states)^result = hook(self, args) ^
^
^
^
^^ ^^^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
^^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
^^ ^^
^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^ ^ ^ ^ ^ ^ ^^^ ^^^^result = hook(self, args)^^^^^
^^^^^^param_coordinator.fetch_sub_module(sub_module, forward=True)result = hook(self, args)^^^^^
^^^ ^^^^^ ^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^^^ ^^^^^ ^^^^^ ^^^^^ ^ ^^^^ ^ret_val = func(*args, **kwargs)^^^^ ^
^^^^ ^^^^^
^^^^ ^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
^^
^ ^ ^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^^^ ^^^^^ ^^^^^ ^^^^^ ^^^^^ ^^^^^ ret_val = func(*args, **kwargs)^^^^^
^^
^^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
^ result = hook(self, args)^^^
^^^ ^^^ ^^^ ^^^
^^ ^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^ ^ ^^ ^^ ^^ ^^^ ^^^ret_val = func(*args, **kwargs)^^^
^^ ^^ ^ret_val = func(*args, **kwargs)result = hook(self, args)^^result = hook(self, args)result = hook(self, args)
^^
^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ return func(*args, **kwargs) ^ ^
^ ^ ^
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^ ^ ^ ^ ^^^^^ ^^ ^^^ ^^self.pre_sub_module_forward_function(module)^^^ ret_val = func(*args, **kwargs)^^
^^^
^^^^^ ^^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^^^ ^^^^^^ ^^^^^^ ^^^^^^ ^^^^^^ ^^^^^^ ^^^^^^return func(*args, **kwargs) ^^^^^^
^^^^^^ ^^^
^
^^ ^^^
^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^
^ ^^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^ ^^ ^^ ^^ ret_val = func(*args, **kwargs)^ ^^^
ret_val = func(*args, **kwargs) ^^^^
ret_val = func(*args, **kwargs)^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^^
^^self.pre_sub_module_forward_function(module) ^ ^^
self.pre_sub_module_forward_function(module)^ ^
^ ^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^ ^^ ^^
^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^ ^^ ^return func(*args, **kwargs)
^ ^
return func(*args, **kwargs)^^
^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^^^ ^^^ self.pre_sub_module_forward_function(module)^^^
^^^ ^^^ ^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^^ ^^^ ^^^ param_coordinator.fetch_sub_module(sub_module, forward=True)^^^^ ^
^^^assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()^ ^^^^
^ ^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^return func(*args, **kwargs)^^^^^
^^^ ^^^^^ ^^^^^^ ^^^
^ ^^^
ret_val = func(*args, **kwargs)^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 392, in _pre_forward_module_hook
^ ^^ ^^^ ^ ^ ^ ^self.pre_sub_module_forward_function(module)^ ^^^
^ ^^^^self.pre_sub_module_forward_function(module)
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^
^self.pre_sub_module_forward_function(module)^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^
^^ ^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^
^^^ ^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^^^^^ ^^^return func(*args, **kwargs)^^^
^^^^^^^^ ^ ^^param_coordinator.fetch_sub_module(sub_module, forward=True)^ ^ ^
^ ^return func(*args, **kwargs)^^^return func(*args, **kwargs) ^
^
^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
param_coordinator.fetch_sub_module(sub_module, forward=True)^ ^
^ ^ ^ ^ ^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^ ^ ^ ^ ^ ^ret_val = func(*args, **kwargs)^ ^^ ^
^ ^ ^^ ret_val = func(*args, **kwargs)
param_coordinator.fetch_sub_module(sub_module, forward=True)^^
^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^ ^ ^^^ ^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^ ^ ^^^ ^ ^^^ ^ ^^^ ^ return func(*args, **kwargs)^^^ ^
^^^ret_val = func(*args, **kwargs) ^ ^^^
^ ^^^ ^ ^ ^^ ^ ^
^ ^ ^ ^AssertionError ^^ ^ ^ ^: ^^^ ^ ^{'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}^^^ ^ ^
^^
^ ^^^^ ^ ^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^ ^ ^^^ ^ ^^^ ^^^^^ ^^^
^
^^^ ^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/parameter_offload.py", line 504, in pre_sub_module_forward_function
^^^^ ^^^^param_coordinator.fetch_sub_module(sub_module, forward=True)^^^^
^^^^^^^^^^^^^^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^^^^^^
^^ param_coordinator.fetch_sub_module(sub_module, forward=True)^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^param_coordinator.fetch_sub_module(sub_module, forward=True)^^
^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^^ret_val = func(*args, **kwargs)^^^
File "/truba/home/dyuret/DeepSpeed/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
^
^^
File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
return func(*args, **kwargs)
ret_val = func(*args, **kwargs)
^ret_val = func(*args, **kwargs) return func(*args, **kwargs)^
^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()^ ^ ^
^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^^^ ^ ^^^^ ^ ^^^^^^ ^^^^^^ ^^^^^^ ^^^^^
^^^^^ ^^^^^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^return func(*args, **kwargs)^^^^^^
^
^^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^^
^^ ^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^ ^^^^ ^^
^ ^^^ ^
File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^ ^^
^ File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary() ^
File "/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
^ assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()^
^^ ^^ ^^ ^^ ^^ assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary() ^^ ^
^^ return func(*args, **kwargs)^ ^return func(*args, **kwargs)
^ ^
^ ^^ ^^^ ^^ ^ ^^ ^ ^^ ^ ^^^ ^ ^^^ ^ ^^^ ^ ^^^ ^ ^^^ ^^ ^^^ ^^^^^^ ^^^^
^^^^^
^^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^^^^^AssertionError^^^^^^^^: ^^^^^{'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}^^^^^
^^^^^^^^^^ ^^^^^assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()^^^^^
^^^^^^^^^^^^^^^^^^ ^^^^^ ^^^^^ ^^^^^ ^^^^^ ^^^^^ ^^^^
^^^^ ^
^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^^^^ File "/truba/home/dyuret/DeepSpeed/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 310, in fetch_sub_module
^^^ ^^^^^^^^^^^^^^^^^^^^^ ^^^^assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()^^^^^
^ ^^^^assert param.ds_status == ZeroParamStatus.AVAILABLE, param.ds_summary()^^^^
^^^ ^^
^
^^^ AssertionError^ ^AssertionError ^ : ^ ^: {'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}^
{'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}
^
^ AssertionError ^ ^ : ^ {'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])} ^^
^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^^^^AssertionError^^^^^: ^^{'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}^^
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^^
AssertionErrorAssertionError: {'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}:
{'id': 292, 'status': 'NOT_AVAILABLE', 'numel': 0, 'ds_numel': 0, 'shape': (0,), 'ds_shape': (0, 4096), 'requires_grad': True, 'grad_shape': None, 'persist': True, 'active_sub_modules': {453}, 'ds_tensor.shape': torch.Size([0])}
[2023-08-30 00:26:22,090] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512099
[2023-08-30 00:26:22,134] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512100
[2023-08-30 00:26:22,160] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512101
[2023-08-30 00:26:22,160] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512102
[2023-08-30 00:26:22,318] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512103
[2023-08-30 00:26:22,345] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512104
[2023-08-30 00:26:22,369] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512105
[2023-08-30 00:26:22,605] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3512106
[2023-08-30 00:26:22,631] [ERROR] [launch.py:321:sigkill_handler] ['/truba/home/dyuret/.julia/conda/3/x86_64/envs/llm/bin/python3.11', '-u', 'main.py', '--local_rank=7', '--data_path', 'Dahoas/rm-static', 'Dahoas/full-hh-rlhf', 'Dahoas/synthetic-instruct-gptj-pairwise', 'yitingxie/rlhf-reward-datasets', '--data_split', '2,4,4', '--model_name_or_path', 'meta-llama/Llama-2-7b-hf', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--max_seq_len', '512', '--learning_rate', '9.65e-6', '--weight_decay', '0.', '--num_train_epochs', '4', '--gradient_accumulation_steps', '1', '--lr_scheduler_type', 'cosine', '--num_warmup_steps', '0', '--seed', '1234', '--gradient_checkpointing', '--zero_stage', '3', '--deepspeed', '--output_dir', './output_step1_llama2_7b'] exits with return code = 1
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment