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Please NOTE: device: 3, GPU Compute Capability: 8.9, Driver API Version: 12.2, Runtime API Version: 11.7 W0519 00:39:16.069731 4952 gpu_resources.cc:164] device: 3, cuDNN Version: 8.4. ======================= Modified FLAGS detected ======================= FLAGS(name='FLAGS_max_inplace_grad_add', current_value=8, default_value=0) FLAGS(name='FLAGS_selected_gpus', current_value='3', default_value='') FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False) ======================================================================= I0519 00:39:18.472234 4952 tcp_utils.cc:107] Retry to connect to 127.0.0.1:50832 while the server is not yet listening. I0519 00:39:21.472563 4952 tcp_utils.cc:130] Successfully connected to 127.0.0.1:50832 I0519 00:39:21.480532 4952 process_group_nccl.cc:129] ProcessGroupNCCL pg_timeout_ 1800000 ERROR: Unexpected segmentation fault encountered in DataLoader workers.
PaddlePaddle 2.6.1 Centos 7 Python 3.10.14 cuda-version 11.7 h67201e3_3 conda-forge cudatoolkit 11.7.1 h4bc3d14_13 conda-forge cudnn 8.4.1.50 hed8a83a_0 conda-forge
The text was updated successfully, but these errors were encountered:
您好,您是多卡还是单卡训练的呢?paddle的版本是?
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PaddlePaddle 2.6.1 Centos 7 Python 3.10.14 cuda-version 11.7 h67201e3_3 conda-forge cudatoolkit 11.7.1 h4bc3d14_13 conda-forge cudnn 8.4.1.50 hed8a83a_0 conda-forge 多卡训练,降级paddlepaddle版到2.5.2后解决该问题
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ERROR: Unexpected segmentation fault encountered in DataLoader workers.
PaddlePaddle 2.6.1
Centos 7
Python 3.10.14
cuda-version 11.7 h67201e3_3 conda-forge
cudatoolkit 11.7.1 h4bc3d14_13 conda-forge
cudnn 8.4.1.50 hed8a83a_0 conda-forge
The text was updated successfully, but these errors were encountered: