export用于设置当前运行的环境变量, export [-fnp][变量名称]=[变量设置值]。 -f 代表[变量名称]中为函数名称。 -n 删除指定的变量。变量实际上并未删除,只是不会输出到后续指令的执行环境中。 -p 列出所有的shell赋予程序的环境变量。 用处就是比如说我们在命令行测试的时候,因为是从脚本片段截取出来的,所以...
5. 验证GPU可见性设置是否生效 你可以通过运行以下命令来验证GPU可见性设置是否生效: bash echo $CUDA_VISIBLE_DEVICES 这个命令将显示当前会话中CUDA_VISIBLE_DEVICES环境变量的值。另外,你也可以使用nvidia-smi命令来查看哪些GPU设备对当前进程可见: bash nvidia-smi 如果设置正确,nvidia-smi命令应该只显示那些你在...
To Reproduce Steps to reproduce the behavior: $ export CUDA_VISIBLE_DEVICES=0,1,6,7 $ python ./deepy.py ./train.py ./configs/125M.yml ./configs/local_setup.yml [2023-03-08 12:00:27,863] [INFO] [launch.py:82:main] WORLD INFO DICT: {'local...
windows环境报错,已经尝试set CUDA_VISIBLE_DEVICES=0
docker run -itd --name guider -v ${PWD}:/mnt -p 10001:22 -p 10002:8080 --gpus all -e NVIDIA_DRIVER_CAPABILITIES=compute,utility -e NVIDIA_VISIBLE_DEVICES=all --privileged=true --shm-size 32G nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 /bin/bash ...
# devices: 1Device 0Name: NVIDIA GeForce RTX 2060Preferred: TRUEPower Envelope: DISCRETEAttachment: UNKNOWN# attached displays: 0GPU accessible RAM: 6,442 MBVRAM: 6,442 MBDedicated System RAM: 0 MBShared System RAM: 0 MBAPI version: 3.0 (OpenCL 3.0 CUDA)...
你可以尝试将NCCL_P2P_LEVEL设置为0，然后重新运行程序。如果问题仍然存在，建议检查你的CUDA和PyTorch...
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768 importos os.environ["CUDA_VISIBLE_DEVICES"]="" importtensorflowastf fromtacotron.modelsimportcreate_model fromtacotron_hparamsimporthparams importshutil ...
If you cannot interact, then the Save Dialog is probably open but not visible. If this is the case, it made have been moved to another location like the bottom of the screen or to a different monitor. You can test this by click the Enter or Esc key after clickin...
import os #os.environ["CUDA_VISIBLE_DEVICES"] = "-1" import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from tensorflow.keras.applications import DenseNet121, MobileNetV3Small img_inputs = keras.Input(shape=(128, 128, 3)) backend = MobileNetV3Small(include...