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报错如下
[2024-07-12 08:34:51,881] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 8 GPUs. This may be caused by:

1. There is not enough GPUs visible on your system
2. Some GPUs are occupied by other process now
3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests
   to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html
   [2024-07-12 08:34:51,881] [ WARNING] install_check.py:297 -
   Original Error is: Process 6 terminated with exit code 1.
   PaddlePaddle is installed successfully ONLY for single GPU! Let's start deep learning with PaddlePaddle now.
   Traceback (most recent call last):
   File "/home/test.py", line 2, in
   paddle.utils.run_check()
   File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 302, in run_check
   raise e
   File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 283, in run_check
   _run_parallel(device_list)
   File "/usr/local/lib/python3.10/dist-packages/paddle/utils/install_check.py", line 210, in _run_parallel
   paddle.distributed.spawn(train_for_run_parallel, nprocs=len(device_list))
   File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 614, in spawn
   while not context.join():
   File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 423, in join
   self._throw_exception(error_index)
   File "/usr/local/lib/python3.10/dist-packages/paddle/distributed/spawn.py", line 435, in _throw_exception
   raise Exception(
   Exception: Process 6 terminated with exit code 1.

本地环境:
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA A800-SXM... On | 00000000:3D:00.0 Off | 0 |
| N/A 35C P0 68W / 400W | 6553MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 1 NVIDIA A800-SXM... On | 00000000:42:00.0 Off | 0 |
| N/A 30C P0 62W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 2 NVIDIA A800-SXM... On | 00000000:61:00.0 Off | 0 |
| N/A 30C P0 60W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 3 NVIDIA A800-SXM... On | 00000000:67:00.0 Off | 0 |
| N/A 35C P0 61W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 4 NVIDIA A800-SXM... On | 00000000:AD:00.0 Off | 0 |
| N/A 34C P0 60W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 5 NVIDIA A800-SXM... On | 00000000:B1:00.0 Off | 0 |
| N/A 30C P0 61W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 6 NVIDIA A800-SXM... On | 00000000:D0:00.0 Off | 0 |
| N/A 30C P0 61W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
| 7 NVIDIA A800-SXM... On | 00000000:D3:00.0 Off | 0 |
| N/A 34C P0 65W / 400W | 3MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+

Repository: registry.baidubce.com/paddlepaddle/paddle
paddlepaddle/paddle
两个都试过，报错都是一样的。