Category : gpu

I’ve been using tensorflow docker images to run Tensorflow with GPU which works fine. For example, I just write this command with the –gpus all flag. docker run -it –rm –gpus all -v $PWD:/tf/notebooks -p 8888:8888 tensorflow/tensorflow:2.2.2-gpu-py3-jupyter I would like to use docker-compose instead and was trying to follow the steps from Docker’s enabling GPU ..

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Exception message: Launch container failed Shell error output: image: nvidia/cuda:10.2-devel-ubuntu18.04 is not trusted. Disable mount volume for untrusted image image: nvidia/cuda:10.2-devel-ubuntu18.04 is not trusted. Disable cap-add for untrusted image Docker capability disabled for untrusted image image: nvidia/cuda:10.2-devel-ubuntu18.04 is not trusted. Disable runtime for untrusted image Could not find requested runtime in allowed runtimes Error constructing ..

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I want to run jobs into an ECS Cluster using GPU reources. I create an cluster an a task definition. I have followed https://docs.aws.amazon.com/es_es/AmazonECS/latest/developerguide/ecs-gpu.html When I run a job I get… Wed Feb 24 07:25:21 2021 +—————————————————————————–+ | NVIDIA-SMI 450.51.06 Driver Version: 450.51.06 CUDA Version: 11.0 | |——————————-+———————-+———————-+ | GPU Name Persistence-M| Bus-Id Disp.A | ..

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Description of the issue Context information (for bug reports) Output of docker-compose version docker-compose version 1.17.1, build unknown docker-py version: 2.5.1 CPython version: 2.7.17 OpenSSL version: OpenSSL 1.1.1 11 Sep 2018 Output of docker version Client: Version: 19.03.6 API version: 1.40 Go version: go1.12.17 Git commit: 369ce74a3c Built: Fri Dec 18 12:21:44 2020 OS/Arch: linux/amd64 ..

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