/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py:181: FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
Note that --use-env is set by default in torchrun.
If your script expects `--local-rank` argument to be set, please
change it to read from `os.environ['LOCAL_RANK']` instead. See
https://pytorch.org/docs/stable/distributed.html#launch-utility for
further instructions
warnings.warn(
[2024-08-26 09:19:00,493] torch.distributed.run: [WARNING]
[2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] *****************************************
[2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
[2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] *****************************************
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:299: ImportWarning:
*************************************************************************************************************
The torch.Tensor.cuda and torch.nn.Module.cuda are replaced with torch.Tensor.npu and torch.nn.Module.npu now..
The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now..
The backend in torch.distributed.init_process_group set to hccl now..
The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now..
The device parameters have been replaced with npu in the function below:
torch.logspace, torch.randint, torch.hann_window, torch.rand, torch.full_like, torch.ones_like, torch.rand_like, torch.randperm, torch.arange, torch.frombuffer, torch.normal, torch._empty_per_channel_affine_quantized, torch.empty_strided, torch.empty_like, torch.scalar_tensor, torch.tril_indices, torch.bartlett_window, torch.ones, torch.sparse_coo_tensor, torch.randn, torch.kaiser_window, torch.tensor, torch.triu_indices, torch.as_tensor, torch.zeros, torch.randint_like, torch.full, torch.eye, torch._sparse_csr_tensor_unsafe, torch.empty, torch._sparse_coo_tensor_unsafe, torch.blackman_window, torch.zeros_like, torch.range, torch.sparse_csr_tensor, torch.randn_like, torch.from_file, torch._cudnn_init_dropout_state, torch._empty_affine_quantized, torch.linspace, torch.hamming_window, torch.empty_quantized, torch._pin_memory, torch.autocast, torch.load, torch.Generator, torch.Tensor.new_empty, torch.Tensor.new_empty_strided, torch.Tensor.new_full, torch.Tensor.new_ones, torch.Tensor.new_tensor, torch.Tensor.new_zeros, torch.Tensor.to, torch.nn.Module.to, torch.nn.Module.to_empty
*************************************************************************************************************
warnings.warn(msg, ImportWarning)
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu.
warnings.warn(msg, RuntimeWarning)
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
/home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
from pkg_resources import packaging
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja...
Building extension module fusion_attention_v2...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Loading extension module fusion_attention_v2...
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja...
Building extension module fusion_attention_v2...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Loading extension module fusion_attention_v2...
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja...
Building extension module fusion_attention_v2...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Loading extension module fusion_attention_v2...
Loading extension module fusion_attention_v2...
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja...
Building extension module fusion_attention_v2...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Loading extension module fusion_attention_v2...
Loading extension module fusion_attention_v2...
Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja...
Building extension module fusion_attention_v2...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Loading extension module fusion_attention_v2...
Loading extension module fusion_attention_v2...
[2024-08-26 09:19:10,529] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 0 (pid: 155074) of binary: /root/miniconda3/envs/szsys_py38/bin/python
Traceback (most recent call last):
File "/root/miniconda3/envs/szsys_py38/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/root/miniconda3/envs/szsys_py38/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py", line 196, in <module>
main()
File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py", line 192, in main
launch(args)
File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py", line 177, in launch
run(args)
File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/run.py", line 797, in run
elastic_launch(
File "/root/miniconda3/envs/szsys_py38/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/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
=======================================================
pretrain_gpt.py FAILED
-------------------------------------------------------
Failures:
[1]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 155075)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155075
[2]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 2 (local_rank: 2)
exitcode : -6 (pid: 155076)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155076
[3]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 3 (local_rank: 3)
exitcode : -6 (pid: 155077)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155077
[4]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 4 (local_rank: 4)
exitcode : -6 (pid: 155078)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155078
[5]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 5 (local_rank: 5)
exitcode : -6 (pid: 155079)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155079
[6]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 6 (local_rank: 6)
exitcode : -6 (pid: 155080)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155080
[7]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 7 (local_rank: 7)
exitcode : -6 (pid: 155081)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155081
-------------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2024-08-26_09:19:10
host : 17a93e2dcd33
rank : 0 (local_rank: 0)
exitcode : -6 (pid: 155074)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 155074
=======================================================
【行业】:XX实验室
【服务器型号】:Atlas 800TA2
【版本信息】:
--CANN版本:8.0.RC2
--torch: 2.1.0
--torch_npu:2.1.0.post3.dev20240704
--model link:master分支
--Python :3.8.19
参照readme:examples/README.md · Ascend/ModelLink - Gitee.com
【问题描述】:预训练时报错:torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
具体报错信息如下:
/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py:181: FutureWarning: The module torch.distributed.launch is deprecated and will be removed in future. Use torchrun. Note that --use-env is set by default in torchrun. If your script expects `--local-rank` argument to be set, please change it to read from `os.environ['LOCAL_RANK']` instead. See https://pytorch.org/docs/stable/distributed.html#launch-utility for further instructions warnings.warn( [2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] [2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] ***************************************** [2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. [2024-08-26 09:19:00,493] torch.distributed.run: [WARNING] ***************************************** /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:299: ImportWarning: ************************************************************************************************************* The torch.Tensor.cuda and torch.nn.Module.cuda are replaced with torch.Tensor.npu and torch.nn.Module.npu now.. The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now.. The backend in torch.distributed.init_process_group set to hccl now.. The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now.. The device parameters have been replaced with npu in the function below: torch.logspace, torch.randint, torch.hann_window, torch.rand, torch.full_like, torch.ones_like, torch.rand_like, torch.randperm, torch.arange, torch.frombuffer, torch.normal, torch._empty_per_channel_affine_quantized, torch.empty_strided, torch.empty_like, torch.scalar_tensor, torch.tril_indices, torch.bartlett_window, torch.ones, torch.sparse_coo_tensor, torch.randn, torch.kaiser_window, torch.tensor, torch.triu_indices, torch.as_tensor, torch.zeros, torch.randint_like, torch.full, torch.eye, torch._sparse_csr_tensor_unsafe, torch.empty, torch._sparse_coo_tensor_unsafe, torch.blackman_window, torch.zeros_like, torch.range, torch.sparse_csr_tensor, torch.randn_like, torch.from_file, torch._cudnn_init_dropout_state, torch._empty_affine_quantized, torch.linspace, torch.hamming_window, torch.empty_quantized, torch._pin_memory, torch.autocast, torch.load, torch.Generator, torch.Tensor.new_empty, torch.Tensor.new_empty_strided, torch.Tensor.new_full, torch.Tensor.new_ones, torch.Tensor.new_tensor, torch.Tensor.new_zeros, torch.Tensor.to, torch.nn.Module.to, torch.nn.Module.to_empty ************************************************************************************************************* warnings.warn(msg, ImportWarning) /root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py:260: RuntimeWarning: torch.jit.script and torch.jit.script_method will be disabled by transfer_to_npu, which currently does not support them, if you need to enable them, please do not use transfer_to_npu. warnings.warn(msg, RuntimeWarning) /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging /home/data/szsys/ModelLink/megatron/core/transformer/custom_layers/transformer_engine.py:10: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import packaging Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja... Building extension module fusion_attention_v2... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) Loading extension module fusion_attention_v2... Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja... Building extension module fusion_attention_v2... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) Loading extension module fusion_attention_v2... Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja... Building extension module fusion_attention_v2... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Loading extension module fusion_attention_v2... Loading extension module fusion_attention_v2... Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja... Building extension module fusion_attention_v2... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Loading extension module fusion_attention_v2... Loading extension module fusion_attention_v2... Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/fusion_attention_v2/build.ninja... Building extension module fusion_attention_v2... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) Loading extension module fusion_attention_v2... Loading extension module fusion_attention_v2... [2024-08-26 09:19:10,529] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 0 (pid: 155074) of binary: /root/miniconda3/envs/szsys_py38/bin/python Traceback (most recent call last): File "/root/miniconda3/envs/szsys_py38/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/miniconda3/envs/szsys_py38/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py", line 196, in <module> main() File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py", line 192, in main launch(args) File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launch.py", line 177, in launch run(args) File "/root/miniconda3/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/run.py", line 797, in run elastic_launch( File "/root/miniconda3/envs/szsys_py38/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/envs/szsys_py38/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ======================================================= pretrain_gpt.py FAILED ------------------------------------------------------- Failures: [1]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 1 (local_rank: 1) exitcode : -6 (pid: 155075) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155075 [2]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 2 (local_rank: 2) exitcode : -6 (pid: 155076) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155076 [3]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 3 (local_rank: 3) exitcode : -6 (pid: 155077) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155077 [4]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 4 (local_rank: 4) exitcode : -6 (pid: 155078) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155078 [5]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 5 (local_rank: 5) exitcode : -6 (pid: 155079) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155079 [6]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 6 (local_rank: 6) exitcode : -6 (pid: 155080) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155080 [7]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 7 (local_rank: 7) exitcode : -6 (pid: 155081) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155081 ------------------------------------------------------- Root Cause (first observed failure): [0]: time : 2024-08-26_09:19:10 host : 17a93e2dcd33 rank : 0 (local_rank: 0) exitcode : -6 (pid: 155074) error_file: <N/A> traceback : Signal 6 (SIGABRT) received by PID 155074 =======================================================