xu-songcommentedMar 9, 2023• edited 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: {'lo...
在Linux系统中,设置GPU可见性的主要方法是通过export命令来设置CUDA_VISIBLE_DEVICES环境变量。这个环境变量接受一个逗号分隔的设备ID列表,每个ID代表一个GPU设备。 3. 编写export命令来设置GPU可见性 你可以通过以下命令来设置GPU可见性: bash export CUDA_VISIBLE_DEVICES=0,1 在这个例子中,只有设备ID为0和1的GPU...
windows环境报错,已经尝试set CUDA_VISIBLE_DEVICES=0
10. 给管理员用户添加CUDA环境变量 docker run -itd --name guider -v /mnt/sda0/00000:/mnt -p 10001:22 -p 10002:8080 --gpus all -e NVIDIA_DRIVER_CAPABILITIES=compute,utility -e NVIDIA_VISIBLE_DEVICES=all --privileged=true --shm-size 8G guider:v1 /bin/bash ssh user_name@server_ip -...
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...
# 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)...
clgpu[0].CLDeviceVersion="1.2 AMD-APP (1800.11)" clgpu[0].IsIntegratedCLGPU=0 clgpu[0].CLMemoryMB=1024 clgpu[0].CLName="Turks" clgpu[0].CLVendor="Advanced Micro Devices, Inc." clgpu[0].CLVendorID=4098 clgpu[0].CLDriverVersion="1800.11 (VM)" clgpu[...
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...
cuda.device_count())] if len(device_collection) > 1: print( f"{len(device_collection)} GPUs are used to export onnx, \ Please set CUDA_VISIBLE_DEVICES to use specific GPU group" ) model = auto_pipeline_parallel(model, device_collection, sample_inputs_tp) else: print("!!! convert ...
clgpu[0].CLDeviceVersion="1.2 AMD-APP (1800.11)" clgpu[0].IsIntegratedCLGPU=0 clgpu[0].CLMemoryMB=1024 clgpu[0].CLName="Turks" clgpu[0].CLVendor="Advanced Micro Devices, Inc." clgpu[0].CLVendorID=4098 clgpu[0].CLDriverVersion="1800.11 (VM)" clgpu[0].CUDASup...