如果paddle.is_compiled_with_cuda()返回False,则说明你安装的是CPU版本的PaddlePaddle,需要重新安装GPU版本。 检查CUDA设备是否正确设置: 确保你的系统中安装了正确的CUDA版本,并且CUDA设备(即GPU)是可用的。你可以通过运行以下命令来检查CUDA设备: bash nvidia-smi 这个命令会显示系统中所有NVIDIA GPU的状态信息。如...
ValueError: The device should not be 'gpu', since PaddlePaddle is not compiled with CUDA将use_gpu改成false,
import paddle from paddlenlp.transformers import ErnieTokenizer, ErnieForSequenceClassification device = "gpu" if paddle.is_compiled_with_cuda() else "cpu" device = paddle.device.set_device(device) MODEL_NAME = 'ernie-2.0-base-en' model = ErnieForSequenceClassification.from_pretrained(MODEL_NAME,...
In [1] import paddle print("PaddlePaddle 版本:", paddle.__version__) print("是否启用 CUDA:", paddle.device.is_compiled_with_cuda()) PaddlePaddle 版本: 0.0.0 是否启用 CUDA: True In [ ] !pip install fast_dataindex visualdl==2.5.3 2、数据处理 2.1 数据集介绍 HF README:在中国,法律智...
place = _convert_to_place(device)File"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/device/__init__.py",line181,in_convert_to_place"The device should not be 'gpu', "ValueError: The device shouldnotbe'gpu', since PaddlePaddleisnotcompiledwithCUDA ...
use_gpu = paddle.is_compiled_with_cuda() place = paddle.fluid.CUDAPlace(0) if use_gpu else paddle.fluid.CPUPlace() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 主模块,包括了读入已经训练的模型,训练,展示,与保存模型 ...
py:316] Not found distinct arguments and compiled with cuda. Default use collective mode launch train in GPU mode INFO 2022-01-09 20:25:44,793 launch_utils.py:471] Local start 1 processes. First process distributed environment info (Only For Debug): +===+ | Distributed Envs Value | +...
= _convert_to_place(device)File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/device/__init__.py", line 181, in _convert_to_place"The device should not be 'gpu', "ValueError: The device should not be 'gpu', since PaddlePaddle is not compiled with CUDA...
为统一静态图模型数据并行的训练方式,废弃原有的单进程多卡训练方式,包括paddle.static.ParallelExecutor和paddle.static.CompiledProgram().with_data_parallel()两个接口,原因是这套接口只支持单机多卡,不支持多机多卡,且底层执行性能较差。推荐统一使用多进程多卡训练方式,即paddle.distributed.launch接口来进行数据并行的...
ValueError: The device should not be 'gpu', since PaddlePaddle is not compiled with CUDA 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 在这一步最好换成GPU环境,否则切换到GPU环境后,还需要安装 paddlepaddle 等操作 protobuf==3.20.2 [2024-06-26 11:16:18,349] [ INFO] - All the weights of ...