If I didn't set the CUDA_VISIBLE_DEVICES, the command worked on GPU 0 and 1. Is it possible to set the CUDA_VISIBLE_DEVICES in command line? cofiiwuadded thequestionlabelJun 13, 2019 stalebotadded thewontfixlabelNov 7, 2020 stalebotclosed this ascompletedNov 14, 2020 ...
on a node with 8 GPU's:0-7), and users may be assigned any number of the GPU's of a node by the SLURM scheduler. For example, a SLURM assignment could setCUDA_VISIBLE_DEVICESto4,5.
(1)os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu (2).to(device)和.cuda()设置GPU的区别 代码复现时明显感觉一些基本概念都不清楚,特此记录。 参考:内存与显存、CPU与GPU、GPU与CUDA_cpu 逻辑运算 缓存 排队 显卡 内存 知乎-CSDN博客 1 内存与显存 (1) 内存 内存(Memory)也被称为内存储器,其作用是...
to command line, so the command line becomes: THEANO_FLAGS=floatX=float32,device=gpu,nvcc.flags=-D_FORCE_INLINES python check1.py It seems to fix a bug in using glibc 2.23 fix for glibc 2.23 Now the program uses correctly the GPU, this is the correct output: THEANO_FL...
ENV NVIDIA\_VISIBLE\_DEVICES all ENV NVIDIA\_DRIVER\_CAPABILITIES compute,utility ENV NV\_CUDA\_LIB\_VERSION 10.2.89-1 ENV NV\_NVTX\_VERSION 10.2.89-1 ENV NV\_LIBNPP\_VERSION 10.2.89-1 ENV NV\_LIBCUBLAS\_PACKAGE\_NAME libcublas10 ...
NVIDIA_VISIBLE_DEVICESallENV NVIDIA_DRIVER_CAPABILITIES compute,utility ENV LD_LIBRARY_PATH $LD_LIBRARY_PATH:/usr/local/cuda-10.1/compat/ ENV PYTHONPATH $PATH#---ENV LC_ALL=mylocale.utf8 COPY . /app WORKDIR /app RUN pip3 install -r requirements.txt ENTRYPOINT ["python3"...
在set PYTHON=这行代码后添加的是python安装路径,命令提示符下输入where python后回车可得到。 在set COMMANDLINE_ARGS= 这行代码后: 4G 显存的增加--medvram ,即上面配置。 2G 显存的增加--lowvram ,即上面--medvram换成--lowvram,再输入空格然后把下面这段加上 ...
Python 3.10.6 (main, Oct 24 2022, 16:07:47) [GCC 11.2.0] Version: v1.7.0 Commit hash: cf2772fab0af5573da775e7437e6acdca424f26e Traceback (most recent call last): File "/root/stable-diffusion-webui/launch.py", line 48, in <module> ...
Keras_Preprocessing★:1.0.5,Python3 protobuf★:3.7.0,Python3.6 tensorboard★:1.12.0,Python3 编译安装TensorFlow 像亲人一样的./configure 源码解压后,进入源码目录,运行./configure进行配置,选项如下: You have bazel 0.18.0 installed. Please specify the location of python. [Default is /usr/bin/python...
CUDA_VISIBLE_DEVICES is set to '0,1,2,3'. Available CUDA devices: 1/4: cuda:0 1/4: cuda:0 name: NVIDIA GeForce GTX 1080 Ti total_memory: 10.9GB name: NVIDIA GeForce GTX 1080 Ti capability: 6.1 device_index: 0 total_memory: 10.9GB 2/4: cuda:1 name: NVIDIA GeForce GTX 1080 ...