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...
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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 run 表示创建并运行容器 -itd 表示以交...
# 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)...
Adobe Photoshop Version: 2015.1.2 20160113.r.355 2016/01/13:23:59:59 CL 1059143 x64 in this case. Next press ctrl-k or cmd-k on the keyboard and the Preference setting box will come up. Go to the section marked as Export and make sure it is set exactly as ...
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...
After downloading the files and set CUDA_VISIBLE_DEVICES=0, I found that (on Windows) python export.py does not work. I tried the two export.py scripts with full path ./Lib/site-packages/paddle/onnx/export.py ./Lib/site-packages/paddlenlp/transformers/export.py The first script execute...
clgpu[0].CLVendor="Advanced Micro Devices, Inc." clgpu[0].CLVendorID=4098 clgpu[0].CLDriverVersion="1800.11 (VM)" clgpu[0].CUDASupported=0 clgpu[0].CLBandwidth=3.98724e+10 clgpu[0].CLCompute=57.9993 License Type: Subscription Serial number: 90970881379605647029 GUIDBucket...
clgpu[0].CLVendor="Advanced Micro Devices, Inc." clgpu[0].CLVendorID=4098 clgpu[0].CLDriverVersion="1800.11 (VM)" clgpu[0].CUDASupported=0 clgpu[0].CLBandwidth=3.98724e+10 clgpu[0].CLCompute=57.9993 License Type: Subscription Serial number: 90970881379605647029...
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 ...