[BUG] <title>微调vl的全部参数出现错误 terminate called after throwing an instance of 'c10::Error' what(): CUDA error: an illegal memory access was encountered Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
chuangzhidan opened this issue · 0 comments
是否已有关于该错误的issue或讨论？ | Is there an existing issue / discussion for this?
- 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions
该问题是否在FAQ中有解答？ | Is there an existing answer for this in FAQ?
- 我已经搜索过FAQ | I have searched FAQ
当前行为 | Current Behavior
**该错误主要来自 --fix_vit False **，为true的话是可以正常训练的。
RuntimeError: CUDA error: an illegal memory access was encountered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
terminate called after throwing an instance of 'c10::Error'
what(): CUDA error: an illegal memory access was encountered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
Exception raised from c10_cuda_check_implementation at ../c10/cuda/CUDAException.cpp:44 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb49b474617 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x64 (0x7fb49b42f98d in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #2: c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, int, bool) + 0x118 (0x7fb49b530128 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10_cuda.so)
frame #3: + 0x16e76 (0x7fb49b4f8e76 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10_cuda.so)
frame #4: + 0x19bad (0x7fb49b4fbbad in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10_cuda.so)
frame #5: + 0x19fcd (0x7fb49b4fbfcd in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10_cuda.so)
frame #6: + 0x510d36 (0x7fb4de26dd36 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libtorch_python.so)
frame #7: + 0x55ca7 (0x7fb49b459ca7 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #8: c10::TensorImpl::~TensorImpl() + 0x1e3 (0x7fb49b451cb3 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #9: c10::TensorImpl::~TensorImpl() + 0x9 (0x7fb49b451e49 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #10: + 0x7c18f8 (0x7fb4de51e8f8 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libtorch_python.so)
frame #11: THPVariable_subclass_dealloc(_object*) + 0x325 (0x7fb4de51eca5 in /root/miniconda3/lib/python3.8/site-packages/torch/lib/libtorch_python.so)
frame #12: + 0x1586a7 (0x557bd830d6a7 in /root/miniconda3/bin/python)
frame #13: _PyModule_ClearDict + 0x714 (0x557bd8363364 in /root/miniconda3/bin/python)
frame #14: PyImport_Cleanup + 0x537 (0x557bd838af47 in /root/miniconda3/bin/python)
frame #15: Py_FinalizeEx + 0x79 (0x557bd83bca49 in /root/miniconda3/bin/python)
frame #16: Py_RunMain + 0x183 (0x557bd83be893 in /root/miniconda3/bin/python)
frame #17: Py_BytesMain + 0x39 (0x557bd83beca9 in /root/miniconda3/bin/python)
frame #18: __libc_start_main + 0xf3 (0x7fb51cd12083 in /usr/lib/x86_64-linux-gnu/libc.so.6)
frame #19: + 0x1e21c7 (0x557bd83971c7 in /root/miniconda3/bin/python)
Traceback (most recent call last):
File "finetune.py", line 367, in
train()
File "finetune.py", line 360, in train
trainer.train()
File "/root/miniconda3/lib/python3.8/site-packages/transformers/trainer.py", line 1537, in train
return inner_training_loop(
File "/root/miniconda3/lib/python3.8/site-packages/transformers/trainer.py", line 1675, in _inner_training_loop
model, self.optimizer, self.lr_scheduler = self.accelerator.prepare(
File "/root/miniconda3/lib/python3.8/site-packages/accelerate/accelerator.py", line 1255, in prepare
result = self._prepare_deepspeed(*args)
File "/root/miniconda3/lib/python3.8/site-packages/accelerate/accelerator.py", line 1640, in _prepare_deepspeed
**engine, optimizer, _, lr_scheduler = deepspeed.initialize(kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/init.py", line 171, in initialize
engine = DeepSpeedEngine(args=args,
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/runtime/engine.py", line 304, in init
self._configure_optimizer(optimizer, model_parameters)
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/runtime/engine.py", line 1234, in _configure_optimizer
self.optimizer = self._configure_zero_optimizer(basic_optimizer)
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/runtime/engine.py", line 1497, in _configure_zero_optimizer
optimizer = DeepSpeedZeroOptimizer(
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/runtime/zero/stage_1_and_2.py", line 512, in init
self.initialize_optimizer_states()
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/runtime/zero/stage_1_and_2.py", line 647, in initialize_optimizer_states
self.optimizer.step()
File "/root/miniconda3/lib/python3.8/site-packages/torch/optim/optimizer.py", line 373, in wrapper
**out = func(*args, kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/ops/adam/fused_adam.py", line 191, in step
multi_tensor_applier(self.multi_tensor_adam, self._dummy_overflow_buf, [g_32, p_32, m_32, v_32],
File "/root/miniconda3/lib/python3.8/site-packages/deepspeed/ops/adam/multi_tensor_apply.py", line 17, in call
*return op(self.chunk_size, noop_flag_buffer, tensor_lists, args)
RuntimeError: CUDA error: an illegal memory access was encountered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
[2024-04-02 22:34:36,014] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 70491 closing signal SIGTERM
[2024-04-02 22:34:36,015] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 70493 closing signal SIGTERM
[2024-04-02 22:34:36,016] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 70494 closing signal SIGTERM
[2024-04-02 22:34:40,441] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 1 (pid: xxxxx) of binary: /root/miniconda3/bin/python
Traceback (most recent call last):
File "/root/miniconda3/bin/torchrun", line 8, in
sys.exit(main())
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 346, in wrapper
return f(*args, **kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/run.py", line 806, in main
run(args)
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/run.py", line 797, in run
elastic_launch(
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 134, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/root/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent
**raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
finetune.py FAILED**
Failures:
<NO_OTHER_FAILURES>
Root Cause (first observed failure):
[0]:
time : xxxxxx
host : xxxxxx
rank : 1 (local_rank: 1)
exitcode : -6 (pid: xxxxx)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID xxxxx
期望行为 | Expected Behavior
No response
复现方法 | Steps To Reproduce
#!/bin/bash
export CUDA_DEVICE_MAX_CONNECTIONS=1
DIR=pwd
GPUS_PER_NODE=3
NNODES=1
NODE_RANK=0
MASTER_ADDR=localhost
MASTER_PORT=XXXX
MODEL=xxxxx
DATA="xxxxxx.json"
DISTRIBUTED_ARGS="
--nproc_per_node $GPUS_PER_NODE
--nnodes $NNODES
--node_rank $NODE_RANK
--master_addr $MASTER_ADDR
--master_port $MASTER_PORT
"
nohup torchrun $DISTRIBUTED_ARGS finetune.py
--model_name_or_path $MODEL
--data_path $DATA
--bf16 True
*--fix_vit False *
--output_dir output/XXXXXX
--num_train_epochs 4
--per_device_train_batch_size 1
--per_device_eval_batch_size 1
--gradient_accumulation_steps 8
--evaluation_strategy "no"
--save_strategy "steps"
--save_steps 40
--save_total_limit 1
--learning_rate 1e-5
--weight_decay 0.1
--adam_beta2 0.95
--warmup_ratio 0.01
--lr_scheduler_type "cosine"
--logging_steps 1
--report_to "none"
--model_max_length 2048
--gradient_checkpointing True
--lazy_preprocess True
--deepspeed finetune/ds_config_zero2.json &
运行环境 | Environment
- OS:
- Python:
- Transformers:
- PyTorch:
- CUDA (`python -c 'import torch; print(torch.version.cuda)'`):备注 | Anything else?
No response