Hi, I encountered an error while running finetune.py, the program died, what is the reason?
python -m torch.distributed.run --nproc_per_node=8 finetune.py
--model-type ram_plus
--config ram/configs/finetune.yaml
--checkpoint /models/RAM/ram_plus_swin_large_14m.pth
--output-dir /logs/RAM/20231205_ramplus_coco_finetune
(p38t20) [root@ts-80e08ce490704c3aa7d3ca229319b5a9-launcher /recognize_anything]# sh start.sh
WARNING:main:
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.
2023-12-06 15:56:54.766918: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.779575: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.783312: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.811370: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.811370: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.819133: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.831586: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.835100: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.847594: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.847615: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.847626: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2023-12-06 15:56:54.862773: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.862790: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.898752: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.898803: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:54.899451: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-06 15:56:55.554178: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.574930: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.578458: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.600197: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.600411: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.633909: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.636835: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-12-06 15:56:55.639246: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
| distributed init (rank 1, word 8): env://
| distributed init (rank 4, word 8): env://
| distributed init (rank 2, word 8): env://
| distributed init (rank 5, word 8): env://
| distributed init (rank 0, word 8): env://
| distributed init (rank 3, word 8): env://
| distributed init (rank 7, word 8): env://
| distributed init (rank 6, word 8): env://
Creating dataset
loading /data/img_txt/recognize-anything-dataset-14m/coco_train_rmcocodev_ram.json
number of training samples: 547741
Creating model
load from: /models/RAM/ram_plus_swin_large_14m.pth
Creating pretrained CLIP model
Creating RAM model
/models/RAM/ram_plus_swin_large_14m.pth
load checkpoint from /models/RAM/ram_plus_swin_large_14m.pth
vit: swin_l
Start training
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46292 closing signal SIGTERM
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46293 closing signal SIGTERM
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46294 closing signal SIGTERM
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46295 closing signal SIGTERM
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46297 closing signal SIGTERM
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46298 closing signal SIGTERM
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 46299 closing signal SIGTERM
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -11) local_rank: 4 (pid: 46296) of binary: /root/miniconda3/envs/p38t20/bin/python
Traceback (most recent call last):
File "/root/miniconda3/envs/p38t20/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/root/miniconda3/envs/p38t20/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/root/miniconda3/envs/p38t20/lib/python3.8/site-packages/torch/distributed/run.py", line 798, in
main()
File "/root/miniconda3/envs/p38t20/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 346, in wrapper
return f(*args, **kwargs)
File "/root/miniconda3/envs/p38t20/lib/python3.8/site-packages/torch/distributed/run.py", line 794, in main
run(args)
File "/root/miniconda3/envs/p38t20/lib/python3.8/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/root/miniconda3/envs/p38t20/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/p38t20/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 250, 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 : 2023-12-06_15:57:22
host : ts-80e08ce490704c3aa7d3ca229319b5a9-launcher
rank : 4 (local_rank: 4)
exitcode : -11 (pid: 46296)
error_file: <N/A>
traceback : Signal 11 (SIGSEGV) received by PID 46296
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