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[BUG] deepspeed-chat bloom training error, raise RuntimeError "still have inflight params " after 14 steps training of step3 with offload option turned on
Describe the bug I'm traning a bloom model in step3 using deepspeed-chat, with offload option turned on, after 14 steps training, it raised the following error(see in logs bleow). I trained it on a single node with 8 gpus.I ran this training 3 times and it all collapsed after about 1 hour training. I turnd the pytorch version from 1.12 to 1.13, and still got the same error.
the full training command is:
['/home/user/bin/python', '-u', 'main.py', '--local_rank=7', '--data_path', 'openai/webgpt_comparisons', '--data_split', '2,4,4', '--actor_model_name_or_path', 'yuanzhoulvpi/chinese_bloom_7b_chat_v3', '--critic_model_name_or_path', '/mnt/workspace/workgroup/res/weights/chinese_bloom_560m/', '--num_padding_at_beginning', '1', '--per_device_train_batch_size', '8', '--per_device_mini_train_batch_size', '8', '--generation_batch_numbers', '1', '--ppo_epochs', '1', '--max_answer_seq_len', '256', '--max_prompt_seq_len', '256', '--ppo_epochs', '1', '--actor_learning_rate', '5e-4', '--critic_learning_rate', '5e-6', '--num_train_epochs', '1', '--lr_scheduler_type', 'cosine', '--gradient_accumulation_steps', '16', '--num_warmup_steps', '100', '--deepspeed', '--seed', '1234', '--actor_zero_stage', '3', '--critic_zero_stage', '3', '--actor_lora_dim', '128', '--actor_gradient_checkpointing', '--critic_gradient_checkpointing', '--disable_actor_dropout', '--offload']
Log output
-------------------------------------------------------------------------------------
epoch: 0|step: 13|ppo_ep: 1|act_loss: 2.9296875|cri_loss: 11.4453125|unsuper_loss: 0.0
average reward score: -6.86328125
-------------------------------------------------------------------------------------
epoch: 0|step: 14|ppo_ep: 1|act_loss: 4.75390625|cri_loss: inf|unsuper_loss: 0.0
average reward score: -6.7890625
-------------------------------------------------------------------------------------
[2023-06-09 16:12:59,766] [INFO] [loss_scaler.py:190:update_scale] [deepspeed] OVERFLOW! Rank 0 Skipping step. Attempted loss scale: 65536, but hysteresis is 2. Reducing hysteresis to 1
[2023-06-09 16:13:00,631] [INFO] [loss_scaler.py:190:update_scale] [deepspeed] OVERFLOW! Rank 0 Skipping step. Attempted loss scale: 65536, but hysteresis is 2. Reducing hysteresis to 1
epoch: 0|step: 15|ppo_ep: 1|act_loss: 3.587890625|cri_loss: 15.0390625|unsuper_loss: 0.0
average reward score: -7.5546875
-------------------------------------------------------------------------------------
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
main()
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
out = trainer.generate_experience(batch_prompt['prompt'],out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0315, -0.0004, 0.0332, ..., -0.0090, -0.0150, 0.0110],
[ 0.0378, 0.0022, 0.0147, ..., -0.0371, -0.0123, 0.0025],
[-0.0126, 0.0239, -0.0034, ..., 0.0175, -0.0101, -0.0043],
...,
[-0.0102, 0.0270, 0.0225, ..., 0.0334, 0.0400, 0.0259],
[ 0.0195, 0.0212, -0.0058, ..., -0.0425, -0.0085, 0.0098],
[ 0.0231, -0.0060, -0.0216, ..., -0.0052, 0.0019, -0.0039]],
device='cuda:4', dtype=torch.float16, requires_grad=True)>]
return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0242, -0.0339, -0.0457, ..., -0.0188, -0.0544, -0.0222],
[-0.0160, 0.0058, 0.0139, ..., 0.0027, -0.0168, 0.0247],
[ 0.0043, 0.0028, -0.0056, ..., -0.0007, -0.0203, 0.0170],
...,
[ 0.0199, -0.0249, -0.0112, ..., 0.0168, 0.0315, -0.0017],
[ 0.0067, -0.0036, 0.0208, ..., 0.0236, 0.0021, -0.0154],
[ 0.0233, 0.0156, -0.0254, ..., 0.0189, 0.0096, -0.0142]],
device='cuda:7', dtype=torch.float16, requires_grad=True)>]
return forward_call(*input, **kwargs)loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
output = self.actor_model(seq, attention_mask=attention_mask)loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0023, -0.0052, -0.0221, ..., 0.0148, 0.0240, -0.0168],
[ 0.0101, -0.0024, -0.0593, ..., 0.0103, -0.0342, -0.0173],
[-0.0229, -0.0079, -0.0126, ..., 0.0009, -0.0197, -0.0182],
...,
[-0.0214, -0.0104, 0.0034, ..., -0.0337, -0.0011, 0.0208],
[ 0.0089, -0.0415, -0.0085, ..., 0.0112, 0.0016, -0.0112],
[-0.0104, -0.0278, -0.0075, ..., 0.0569, -0.0123, 0.0347]],
device='cuda:0', dtype=torch.float16, requires_grad=True)>]
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
ret_val = func(*args, **kwargs)return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0608, -0.0464, -0.0111, ..., 0.0085, -0.0047, 0.0221],
[ 0.0033, 0.0026, 0.0113, ..., 0.0049, 0.0031, 0.0104],
[ 0.0053, -0.0136, 0.0095, ..., -0.0295, -0.0013, -0.0087],
...,
[ 0.0004, -0.0178, -0.0137, ..., 0.0059, 0.0152, -0.0002],
[ 0.0454, 0.0233, -0.0053, ..., -0.0124, -0.0214, -0.0270],
[ 0.0056, -0.0488, 0.0085, ..., -0.0129, 0.0289, 0.0110]],
device='cuda:6', dtype=torch.float16, requires_grad=True)>]
loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0023, -0.0052, -0.0221, ..., 0.0148, 0.0240, -0.0168],
[ 0.0101, -0.0024, -0.0593, ..., 0.0103, -0.0342, -0.0173],
[-0.0229, -0.0079, -0.0126, ..., 0.0009, -0.0197, -0.0182],
...,
[ 0.0050, 0.0030, -0.0137, ..., -0.0025, -0.0178, -0.0214],
[-0.0206, -0.0193, 0.0143, ..., 0.0238, 0.0104, -0.0435],
[-0.0260, 0.0138, -0.0020, ..., -0.0036, 0.0020, 0.0157]],
device='cuda:3', dtype=torch.float16, requires_grad=True)>]
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[ 0.0042, 0.0065, 0.0332, ..., -0.0122, -0.0067, -0.0110],
[ 0.0281, 0.0021, -0.0168, ..., -0.0114, 0.0029, -0.0227],
[ 0.0153, 0.0096, 0.0154, ..., 0.0011, 0.0090, 0.0164],
...,
[ 0.0136, 0.0050, 0.0221, ..., 0.0150, -0.0114, 0.0267],
[ 0.0095, 0.0223, -0.0248, ..., -0.0339, 0.0020, -0.0244],
[-0.0244, -0.0022, 0.0026, ..., 0.0262, 0.0250, -0.0292]],
device='cuda:1', dtype=torch.float16, requires_grad=True)>]
loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0023, -0.0052, -0.0221, ..., 0.0148, 0.0240, -0.0168],
[ 0.0101, -0.0024, -0.0593, ..., 0.0103, -0.0342, -0.0173],
[-0.0229, -0.0079, -0.0126, ..., 0.0009, -0.0197, -0.0182],
...,
[ 0.0060, 0.0171, 0.0018, ..., 0.0142, -0.0076, 0.0075],
[ 0.0186, -0.0070, -0.0282, ..., -0.0173, 0.0253, 0.0181],
[ 0.0403, 0.0181, 0.0181, ..., 0.0267, 0.0023, -0.0029]],
device='cuda:2', dtype=torch.float16, requires_grad=True)>]
Traceback (most recent call last):
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 520, in <module>
main()
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py", line 428, in main
out = trainer.generate_experience(batch_prompt['prompt'],
File "/mnt/workspace/workgroup/DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/ppo_trainer.py", line 105, in generate_experience
output = self.actor_model(seq, attention_mask=attention_mask)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl
return forward_call(*input, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 1736, in forward
loss = self.module(*inputs, **kwargs)
File "/home/user/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1211, in _call_impl
hook_result = hook(self, input, result)
File "/home/user/lib/python3.9/site-packages/deepspeed/utils/nvtx.py", line 15, in wrapped_fn
ret_val = func(*args, **kwargs)
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/parameter_offload.py", line 329, in _end_of_forward_hook
self.get_param_coordinator(training=False).reset_step()
File "/home/user/lib/python3.9/site-packages/deepspeed/runtime/zero/partitioned_param_coordinator.py", line 185, in reset_step
raise RuntimeError(f"still have inflight params "
RuntimeError: still have inflight params [<bound method Init._convert_to_deepspeed_param.<locals>.ds_summary of Parameter containing:
tensor([[-0.0023, -0.0052, -0.0221, ..., 0.0148, 0.0240, -0.0168],
[ 0.0101, -0.0024, -0.0593, ..., 0.0103, -0.0342, -0.0173],
[-0.0229, -0.0079, -0.0126, ..., 0.0009, -0.0197, -0.0182],
...,
[-0.0042, -0.0012, 0.0121, ..., 0.0123, -0.0023, 0.0014],
[ 0.0121, -0.0019, -0.0132, ..., 0.0031, -0.0141, 0.0038],
[-0.0014, 0.0193, 0.0042, ..., 0.0034, -0.0004, -0.0056]],
device='cuda:5', dtype=torch.float16, requires_grad=True)>]
[2023-06-09 16:16:56,690] [INFO] [launch.py:314:sigkill_handler] Killing subprocess 110262
[2023-06-09 16:16:59,824] [INFO] [launch.py:314:sigkill_handler] Killing subprocess 110263
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[2023-06-09 16:16:59,829] [INFO] [launch.py:314:sigkill_handler] Killing subprocess 110268
[2023-06-09 16:16:59,830] [INFO] [launch.py:314:sigkill_handler] Killing subprocess 110269
[2023-06-09 16:16:59,832] [ERROR] [launch.py:320:sigkill_handler] ['/home/user/bin/python', '-u', 'main.py', '--local_rank=7', '--data_path', 'openai/webgpt_comparisons', '--data_split', '2,4,4', '--actor_model_name_or_path', 'yuanzhoulvpi/chinese_bloom_7b_chat_v3', '--critic_model_name_or_path', '/mnt/workspace/workgroup/res/weights/chinese_bloom_560m/', '--num_padding_at_beginning', '1', '--per_device_train_batch_size', '8', '--per_device_mini_train_batch_size', '8', '--generation_batch_numbers', '1', '--ppo_epochs', '1', '--max_answer_seq_len', '256', '--max_prompt_seq_len', '256', '--ppo_epochs', '1', '--actor_learning_rate', '5e-4', '--critic_learning_rate', '5e-6', '--num_train_epochs', '1', '--lr_scheduler_type', 'cosine', '--gradient_accumulation_steps', '16', '--num_warmup_steps', '100', '--deepspeed', '--seed', '1234', '--actor_zero_stage', '3', '--critic_zero_stage', '3', '--actor_lora_dim', '128', '--actor_gradient_checkpointing', '--critic_gradient_checkpointing', '--disable_actor_dropout', '--offload'] exits with return code = 1
ds_report output
Setting ds_accelerator to cuda (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
--------------------------------------------------
[WARNING] async_io requires the dev libaio .so object and headers but these were not found.
[WARNING] async_io: please install the libaio-dev package with apt
[WARNING] If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
async_io ............... [NO] ....... [NO]
cpu_adagrad ............ [NO] ....... [OKAY]
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
fused_lamb ............. [NO] ....... [OKAY]
quantizer .............. [NO] ....... [OKAY]
random_ltd ............. [NO] ....... [OKAY]
[WARNING] please install triton==1.0.0 if you want to use sparse attention
sparse_attn ............ [NO] ....... [NO]
spatial_inference ...... [NO] ....... [OKAY]
transformer ............ [NO] ....... [OKAY]
stochastic_transformer . [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
utils .................. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/home/pai/lib/python3.9/site-packages/torch']
torch version .................... 1.13.0
deepspeed install path ........... ['/home/pai/lib/python3.9/site-packages/deepspeed']
deepspeed info ................... 0.9.3, unknown, unknown
torch cuda version ............... 11.6
torch hip version ................ None
nvcc version ..................... 11.3
deepspeed wheel compiled w. ...... torch 1.12, cuda 11.3
System info (please complete the following information):
- OS: ubuntu20.04
- 8*v100 32G
- pytorch:1.13
- py39
How to repreduce all the datasets and models I use are open published on huggingface, one should start the same experiment just using the same start command.
@loadams - please see if this is connected to https://github.com/microsoft/DeepSpeed/issues/3735
@loadams - please see if this is connected to #3735
Yes it is connected to this issue. Can you help me with this issue?
@DZ9 and @vivek-media - we're going to close this issue and move discussion to the other one. Can you try the latest build from source and confirm if that fix works for you or if you are hitting the subsequent issue from that thread?